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GT AI OS Community Edition v2.0.33

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Security hardening release addressing CodeQL and Dependabot alerts:

- Fix stack trace exposure in error responses
- Add SSRF protection with DNS resolution checking
- Implement proper URL hostname validation (replaces substring matching)
- Add centralized path sanitization to prevent path traversal
- Fix ReDoS vulnerability in email validation regex
- Improve HTML sanitization in validation utilities
- Fix capability wildcard matching in auth utilities
- Update glob dependency to address CVE
- Add CodeQL suppression comments for verified false positives

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
HackWeasel
2025-12-12 17:04:45 -05:00
commit b9dfb86260
746 changed files with 232071 additions and 0 deletions
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56
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FROM python:3.11-slim
# Install system dependencies for ARM64 with optimized BLAS libraries
RUN apt-get update && apt-get install -y \
gcc \
g++ \
curl \
libblas-dev \
liblapack-dev \
libopenblas-dev \
gfortran \
pkg-config \
&& rm -rf /var/lib/apt/lists/*
# Install PyTorch CPU-only for ARM with optimized BLAS
RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
# Install optimized dependencies for ARM64
RUN pip install --no-cache-dir \
transformers>=4.36.0 \
sentence-transformers \
fastapi \
uvicorn \
numpy \
accelerate \
onnxruntime \
optimum[onnxruntime]
# Set comprehensive ARM64 environment variables for maximum performance
ENV OMP_NUM_THREADS=8
ENV MKL_NUM_THREADS=8
ENV BLIS_NUM_THREADS=8
ENV VECLIB_MAXIMUM_THREADS=8
ENV PYTORCH_NUM_THREADS=8
ENV PYTORCH_ENABLE_MPS_FALLBACK=1
ENV PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0
ENV CUDA_VISIBLE_DEVICES=""
ENV USE_ONNX_RUNTIME=true
ENV CFLAGS="-march=armv8-a+simd+fp16 -O3"
ENV CXXFLAGS="-march=armv8-a+simd+fp16 -O3"
# Create app directory
WORKDIR /app
# Copy the custom OpenAI-compatible BGE-M3 server
COPY .deployment/docker/embedding_server.py /app/embedding_server.py
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=300s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Run the embedding server
CMD ["python", "embedding_server.py"]

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FROM python:3.11-slim
# Install system dependencies for DGX Grace ARM with optimized libraries
# Note: Removed libatlas-base-dev as it's not available in Debian Trixie ARM64
RUN apt-get update && apt-get install -y \
gcc \
g++ \
curl \
libblas-dev \
liblapack-dev \
libopenblas-dev \
gfortran \
pkg-config \
build-essential \
cmake \
&& rm -rf /var/lib/apt/lists/*
# Install PyTorch CPU-only for ARM with optimized BLAS
RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
# Install optimized dependencies for DGX Grace ARM64
RUN pip install --no-cache-dir \
transformers>=4.36.0 \
sentence-transformers \
fastapi \
uvicorn \
numpy \
accelerate \
onnxruntime \
optimum[onnxruntime] \
psutil
# Set comprehensive DGX Grace ARM64 environment variables for maximum performance
ENV OMP_NUM_THREADS=20
ENV MKL_NUM_THREADS=20
ENV BLIS_NUM_THREADS=20
ENV OPENBLAS_NUM_THREADS=20
ENV VECLIB_MAXIMUM_THREADS=20
ENV PYTORCH_NUM_THREADS=20
ENV PYTORCH_ENABLE_MPS_FALLBACK=1
ENV PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0
ENV CUDA_VISIBLE_DEVICES=""
ENV USE_ONNX_RUNTIME=true
ENV MALLOC_ARENA_MAX=8
# DGX Grace architecture optimizations
ENV CFLAGS="-march=armv8.2-a+fp16+rcpc+dotprod -O3 -ffast-math"
ENV CXXFLAGS="-march=armv8.2-a+fp16+rcpc+dotprod -O3 -ffast-math"
# Memory optimization for 128GB system
ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
ENV OMP_STACKSIZE=2M
ENV KMP_STACKSIZE=2M
# Platform identification
ENV GT2_PLATFORM=dgx
ENV GT2_ARCHITECTURE=grace-arm
# Create app directory
WORKDIR /app
# Copy the custom OpenAI-compatible BGE-M3 server optimized for DGX
COPY .deployment/docker/embedding_server_dgx.py /app/embedding_server.py
# Expose port
EXPOSE 8000
# Health check with longer timeout for DGX startup
HEALTHCHECK --interval=30s --timeout=60s --start-period=600s --retries=5 \
CMD curl -f http://localhost:8000/health || exit 1
# Run the embedding server
CMD ["python", "embedding_server.py"]

56
.deployment/docker/Dockerfile.vllm-x86 Normal file
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FROM python:3.11-slim
# Install system dependencies for x86_64 with optimized BLAS libraries
RUN apt-get update && apt-get install -y \
gcc \
g++ \
curl \
libblas-dev \
liblapack-dev \
libopenblas-dev \
gfortran \
pkg-config \
&& rm -rf /var/lib/apt/lists/*
# Install PyTorch with CUDA support for x86_64 (auto-falls back to CPU if no GPU)
RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
# Install optimized dependencies for x86_64
RUN pip install --no-cache-dir \
transformers>=4.36.0 \
sentence-transformers \
fastapi \
uvicorn \
numpy \
accelerate \
onnxruntime-gpu \
optimum[onnxruntime-gpu]
# Set comprehensive x86_64 environment variables for maximum performance
ENV OMP_NUM_THREADS=16
ENV BLIS_NUM_THREADS=16
ENV OPENBLAS_NUM_THREADS=16
ENV PYTORCH_NUM_THREADS=16
ENV PYTORCH_ENABLE_MPS_FALLBACK=1
ENV PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0
# GPU auto-detection: ONNX Runtime will use CUDAExecutionProvider if available, else CPU
ENV USE_ONNX_RUNTIME=true
# x86_64 specific compiler optimization flags
ENV CFLAGS="-march=native -O3 -mavx2 -mfma"
ENV CXXFLAGS="-march=native -O3 -mavx2 -mfma"
# Create app directory
WORKDIR /app
# Copy the custom OpenAI-compatible BGE-M3 server
COPY .deployment/docker/embedding_server.py /app/embedding_server.py
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=300s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Run the embedding server
CMD ["python", "embedding_server.py"]

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.deployment/docker/embedding_server.py Normal file
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#!/usr/bin/env python3
"""
OpenAI-Compatible BGE-M3 Embedding Server for GT 2.0
Provides real BGE-M3 embeddings via OpenAI-compatible API - NO FALLBACKS
"""
import asyncio
import logging
import time
import uvicorn
from datetime import datetime
from typing import List, Dict, Any, Optional
from pydantic import BaseModel, Field
from fastapi import FastAPI, HTTPException
from contextlib import asynccontextmanager
# Setup logging first
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# BGE-M3 Model with ONNX Runtime optimization
from sentence_transformers import SentenceTransformer
import torch
import os
import numpy as np
# Limit VRAM usage if GPU is available (BGE-M3 needs ~2.5GB)
if torch.cuda.is_available():
memory_fraction = float(os.environ.get('CUDA_MEMORY_FRACTION', '0.25'))
torch.cuda.set_per_process_memory_fraction(memory_fraction)
logger.info(f"CUDA memory limited to {memory_fraction*100:.0f}% of available VRAM")
# ONNX Runtime imports with direct session support
try:
import onnxruntime as ort
from transformers import AutoTokenizer
ONNX_AVAILABLE = True
logger.info(f"ONNX Runtime available (providers: {ort.get_available_providers()})")
except ImportError as e:
ONNX_AVAILABLE = False
logger.warning(f"ONNX Runtime not available, falling back to SentenceTransformers: {e}")
# Global model instances
model = None
tokenizer = None
onnx_session = None
use_onnx = False
model_mode = "unknown"
def mean_pooling(token_embeddings: np.ndarray, attention_mask: np.ndarray) -> np.ndarray:
"""
Perform mean pooling on token embeddings using attention mask.
Args:
token_embeddings: Token-level embeddings [batch_size, seq_len, hidden_dim]
attention_mask: Attention mask [batch_size, seq_len]
Returns:
Pooled embeddings [batch_size, hidden_dim]
"""
# Expand attention mask to match embeddings dimensions
attention_mask_expanded = np.expand_dims(attention_mask, -1)
# Sum embeddings where attention mask is 1
sum_embeddings = np.sum(token_embeddings * attention_mask_expanded, axis=1)
# Sum attention mask to get actual sequence lengths
sum_mask = np.sum(attention_mask_expanded, axis=1)
# Divide to get mean (avoid division by zero)
mean_embeddings = sum_embeddings / np.maximum(sum_mask, 1e-9)
return mean_embeddings
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Load BGE-M3 model on startup with ONNX optimization"""
global model, tokenizer, onnx_session, use_onnx, model_mode
logger.info("Loading BGE-M3 model with ARM64 optimization...")
# Check if ONNX Runtime should be used
use_onnx_env = os.getenv('USE_ONNX_RUNTIME', 'true').lower() == 'true'
try:
if ONNX_AVAILABLE and use_onnx_env:
# Try ONNX Runtime with direct session for maximum ARM64 performance
logger.info("Attempting to load BGE-M3 with direct ONNX Runtime session...")
try:
# Load tokenizer
tokenizer = AutoTokenizer.from_pretrained('BAAI/bge-m3')
# Check for cached ONNX model
cache_dir = os.path.expanduser('~/.cache/huggingface/hub')
model_id = 'models--BAAI--bge-m3'
# Find ONNX model in cache
import glob
onnx_pattern = f'{cache_dir}/{model_id}/snapshots/*/onnx/model.onnx'
onnx_files = glob.glob(onnx_pattern)
if onnx_files:
onnx_path = onnx_files[0]
logger.info(f"Found cached ONNX model at: {onnx_path}")
# Configure ONNX session options to suppress ARM64 warnings
sess_options = ort.SessionOptions()
sess_options.log_severity_level = 3 # 3=ERROR (suppresses warnings)
# Create ONNX session with GPU auto-detection (falls back to CPU)
onnx_session = ort.InferenceSession(
onnx_path,
sess_options=sess_options,
providers=['CUDAExecutionProvider', 'CPUExecutionProvider']
)
use_onnx = True
model_mode = "ONNX Runtime (Direct Session)"
logger.info("✅ BGE-M3 model loaded with direct ONNX Runtime session")
# Log ONNX model outputs for debugging
logger.info("ONNX model outputs:")
for output in onnx_session.get_outputs():
logger.info(f" - {output.name}: {output.shape}")
else:
logger.warning("No cached ONNX model found, need to export first...")
logger.info("Attempting ONNX export via optimum...")
# Try to export ONNX model using optimum
from optimum.onnxruntime import ORTModelForFeatureExtraction
# This will cache the ONNX model for future use
temp_model = ORTModelForFeatureExtraction.from_pretrained(
'BAAI/bge-m3',
export=False,
provider="CPUExecutionProvider"
)
del temp_model
# Now find the newly exported model
onnx_files = glob.glob(onnx_pattern)
if onnx_files:
onnx_path = onnx_files[0]
logger.info(f"ONNX model exported to: {onnx_path}")
# Load with direct session (GPU auto-detection)
sess_options = ort.SessionOptions()
sess_options.log_severity_level = 3
onnx_session = ort.InferenceSession(
onnx_path,
sess_options=sess_options,
providers=['CUDAExecutionProvider', 'CPUExecutionProvider']
)
use_onnx = True
model_mode = "ONNX Runtime (Direct Session - Exported)"
logger.info("✅ BGE-M3 model exported and loaded with direct ONNX Runtime session")
else:
raise FileNotFoundError("ONNX export completed but model file not found")
except Exception as onnx_error:
logger.warning(f"ONNX Runtime setup failed: {onnx_error}")
logger.warning(f"Error type: {type(onnx_error).__name__}")
logger.info("Falling back to SentenceTransformers...")
raise onnx_error
else:
logger.info("ONNX Runtime disabled or unavailable, using SentenceTransformers...")
raise ImportError("ONNX disabled")
except Exception:
# Fallback to SentenceTransformers with GPU auto-detection
device = 'cuda' if torch.cuda.is_available() else 'cpu'
logger.info(f"Loading BGE-M3 with SentenceTransformers (fallback mode) on {device}...")
model = SentenceTransformer(
'BAAI/bge-m3',
device=device,
trust_remote_code=True
)
use_onnx = False
model_mode = f"SentenceTransformers ({device.upper()})"
logger.info(f"✅ BGE-M3 model loaded with SentenceTransformers on {device}")
logger.info(f"Model mode: {model_mode}")
logger.info(f"PyTorch threads: {torch.get_num_threads()}")
logger.info(f"OMP threads: {os.getenv('OMP_NUM_THREADS', 'not set')}")
logger.info(f"CUDA available: {torch.cuda.is_available()}")
if torch.cuda.is_available():
logger.info(f"GPU: {torch.cuda.get_device_name(0)}")
yield
# Cleanup
if model:
del model
if tokenizer:
del tokenizer
if onnx_session:
del onnx_session
torch.cuda.empty_cache() if torch.cuda.is_available() else None
app = FastAPI(
title="BGE-M3 Embedding Service",
description="OpenAI-compatible BGE-M3 embedding API for GT 2.0",
version="1.0.0",
lifespan=lifespan
)
# OpenAI-compatible request models
class EmbeddingRequest(BaseModel):
input: List[str] = Field(..., description="Input texts to embed")
model: str = Field(default="BAAI/bge-m3", description="Model name")
encoding_format: str = Field(default="float", description="Encoding format")
dimensions: Optional[int] = Field(None, description="Number of dimensions")
user: Optional[str] = Field(None, description="User identifier")
class EmbeddingData(BaseModel):
object: str = "embedding"
embedding: List[float]
index: int
class EmbeddingUsage(BaseModel):
prompt_tokens: int
total_tokens: int
class EmbeddingResponse(BaseModel):
object: str = "list"
data: List[EmbeddingData]
model: str
usage: EmbeddingUsage
@app.post("/v1/embeddings", response_model=EmbeddingResponse)
async def create_embeddings(request: EmbeddingRequest):
"""Generate embeddings using BGE-M3 model"""
if not model and not onnx_session:
raise HTTPException(status_code=500, detail="BGE-M3 model not loaded")
if not request.input:
raise HTTPException(status_code=400, detail="No input texts provided")
start_time = time.time()
try:
logger.info(f"Generating embeddings for {len(request.input)} texts using {model_mode}")
# Generate embeddings with mode-specific logic
if use_onnx and onnx_session:
# Direct ONNX Runtime path for maximum performance
batch_size = min(len(request.input), 64)
embeddings = []
for i in range(0, len(request.input), batch_size):
batch_texts = request.input[i:i + batch_size]
# Tokenize
inputs = tokenizer(
batch_texts,
padding=True,
truncation=True,
return_tensors="np",
max_length=512
)
# Run ONNX inference
# BGE-M3 ONNX model outputs: [token_embeddings, sentence_embedding]
outputs = onnx_session.run(
None, # Get all outputs
{
'input_ids': inputs['input_ids'].astype(np.int64),
'attention_mask': inputs['attention_mask'].astype(np.int64)
}
)
# Get token embeddings (first output)
token_embeddings = outputs[0]
# Mean pooling with attention mask
batch_embeddings = mean_pooling(token_embeddings, inputs['attention_mask'])
# Normalize embeddings
norms = np.linalg.norm(batch_embeddings, axis=1, keepdims=True)
batch_embeddings = batch_embeddings / np.maximum(norms, 1e-9)
embeddings.extend(batch_embeddings)
embeddings = np.array(embeddings)
else:
# SentenceTransformers fallback path
embeddings = model.encode(
request.input,
batch_size=min(len(request.input), 64),
show_progress_bar=False,
convert_to_tensor=False,
normalize_embeddings=True
)
# Convert to list format
if hasattr(embeddings, 'tolist'):
embeddings = embeddings.tolist()
elif isinstance(embeddings, list) and len(embeddings) > 0:
if hasattr(embeddings[0], 'tolist'):
embeddings = [emb.tolist() for emb in embeddings]
# Create response in OpenAI format
embedding_data = [
EmbeddingData(
embedding=embedding,
index=i
)
for i, embedding in enumerate(embeddings)
]
# Calculate token usage (rough estimation)
total_tokens = sum(len(text.split()) for text in request.input)
processing_time_ms = int((time.time() - start_time) * 1000)
logger.info(f"Generated {len(embeddings)} embeddings in {processing_time_ms}ms")
return EmbeddingResponse(
data=embedding_data,
model=request.model,
usage=EmbeddingUsage(
prompt_tokens=total_tokens,
total_tokens=total_tokens
)
)
except Exception as e:
logger.error(f"Error generating embeddings: {e}")
logger.exception("Full traceback:")
raise HTTPException(status_code=500, detail=f"Embedding generation failed: {str(e)}")
@app.get("/health")
async def health_check():
"""Health check endpoint"""
return {
"status": "healthy" if (model or onnx_session) else "unhealthy",
"model": "BAAI/bge-m3",
"service": "bge-m3-embeddings",
"mode": model_mode,
"onnx_enabled": use_onnx,
"gpu_available": torch.cuda.is_available(),
"gpu_name": torch.cuda.get_device_name(0) if torch.cuda.is_available() else None,
"pytorch_threads": torch.get_num_threads(),
"timestamp": datetime.utcnow().isoformat()
}
@app.get("/v1/models")
async def list_models():
"""List available models (OpenAI-compatible)"""
return {
"object": "list",
"data": [
{
"id": "BAAI/bge-m3",
"object": "model",
"created": int(time.time()),
"owned_by": "gt2"
}
]
}
@app.get("/")
async def root():
"""Root endpoint"""
return {
"service": "BGE-M3 Embedding Service",
"model": "BAAI/bge-m3",
"version": "1.0.0",
"api": "OpenAI-compatible",
"status": "ready" if (model or onnx_session) else "loading"
}
if __name__ == "__main__":
uvicorn.run(
"embedding_server:app",
host="0.0.0.0",
port=8000,
log_level="info"
)

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#!/usr/bin/env python3
"""
DGX-Optimized BGE-M3 Embedding Server for GT 2.0
Optimized for NVIDIA DGX Spark with 20-core Grace ARM architecture
Provides real BGE-M3 embeddings via OpenAI-compatible API - NO FALLBACKS
"""
import asyncio
import logging
import time
import uvicorn
import psutil
from datetime import datetime
from typing import List, Dict, Any, Optional
from pydantic import BaseModel, Field
from fastapi import FastAPI, HTTPException
from contextlib import asynccontextmanager
# Setup logging first
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# BGE-M3 Model with DGX Grace optimizations
from sentence_transformers import SentenceTransformer
import torch
import os
import numpy as np
# ONNX Runtime imports with direct session support
try:
import onnxruntime as ort
from transformers import AutoTokenizer
ONNX_AVAILABLE = True
logger.info("ONNX Runtime available for DGX Grace ARM64 optimization")
except ImportError as e:
ONNX_AVAILABLE = False
logger.warning(f"ONNX Runtime not available, falling back to SentenceTransformers: {e}")
# Global model instances
model = None
tokenizer = None
onnx_session = None
use_onnx = False
model_mode = "unknown"
def mean_pooling(token_embeddings: np.ndarray, attention_mask: np.ndarray) -> np.ndarray:
"""
Perform mean pooling on token embeddings using attention mask.
Args:
token_embeddings: Token-level embeddings [batch_size, seq_len, hidden_dim]
attention_mask: Attention mask [batch_size, seq_len]
Returns:
Pooled embeddings [batch_size, hidden_dim]
"""
# Expand attention mask to match embeddings dimensions
attention_mask_expanded = np.expand_dims(attention_mask, -1)
# Sum embeddings where attention mask is 1
sum_embeddings = np.sum(token_embeddings * attention_mask_expanded, axis=1)
# Sum attention mask to get actual sequence lengths
sum_mask = np.sum(attention_mask_expanded, axis=1)
# Divide to get mean (avoid division by zero)
mean_embeddings = sum_embeddings / np.maximum(sum_mask, 1e-9)
return mean_embeddings
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Load BGE-M3 model on startup with DGX Grace optimization"""
global model, tokenizer, onnx_session, use_onnx, model_mode
logger.info("Loading BGE-M3 model with DGX Grace ARM64 optimization...")
# Log system information
logger.info(f"CPU cores: {psutil.cpu_count(logical=True)}")
logger.info(f"Memory: {psutil.virtual_memory().total / (1024**3):.1f}GB")
logger.info(f"Platform: {os.environ.get('GT2_PLATFORM', 'unknown')}")
logger.info(f"Architecture: {os.environ.get('GT2_ARCHITECTURE', 'unknown')}")
# Check if ONNX Runtime should be used and is available
use_onnx_env = os.environ.get('USE_ONNX_RUNTIME', 'true').lower() == 'true'
try:
if ONNX_AVAILABLE and use_onnx_env:
# Try ONNX Runtime with direct session for maximum DGX Grace performance
logger.info("Attempting to load BGE-M3 with direct ONNX Runtime session...")
try:
# Load tokenizer
tokenizer = AutoTokenizer.from_pretrained('BAAI/bge-m3')
# Check for cached ONNX model
cache_dir = os.path.expanduser('~/.cache/huggingface/hub')
model_id = 'models--BAAI--bge-m3'
# Find ONNX model in cache - check multiple possible locations
import glob
onnx_locations = [
f'{cache_dir}/{model_id}/onnx/model.onnx', # Our export location
f'{cache_dir}/{model_id}/snapshots/*/onnx/model.onnx', # HF cache location
]
onnx_files = []
for pattern in onnx_locations:
onnx_files = glob.glob(pattern)
if onnx_files:
break
if onnx_files:
onnx_path = onnx_files[0]
logger.info(f"Found cached ONNX model at: {onnx_path}")
# Configure ONNX session options for DGX Grace ARM64
sess_options = ort.SessionOptions()
sess_options.log_severity_level = 3 # 3=ERROR (suppresses warnings)
sess_options.intra_op_num_threads = 20 # DGX Grace 20 cores
sess_options.inter_op_num_threads = 4
sess_options.execution_mode = ort.ExecutionMode.ORT_PARALLEL
sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
# Create ONNX session with DGX optimized settings
onnx_session = ort.InferenceSession(
onnx_path,
sess_options=sess_options,
providers=['CPUExecutionProvider']
)
use_onnx = True
model_mode = "ONNX Runtime (Direct Session - DGX)"
logger.info("✅ BGE-M3 model loaded with direct ONNX Runtime session (DGX optimized)")
# Log ONNX model outputs for debugging
logger.info("ONNX model outputs:")
for output in onnx_session.get_outputs():
logger.info(f" - {output.name}: {output.shape}")
else:
logger.warning("No cached ONNX model found, need to export first...")
logger.info("Attempting ONNX export via optimum...")
# Try to export ONNX model using optimum
from optimum.onnxruntime import ORTModelForFeatureExtraction
# Define export path within the huggingface cache structure
onnx_export_path = os.path.expanduser('~/.cache/huggingface/hub/models--BAAI--bge-m3/onnx')
os.makedirs(onnx_export_path, exist_ok=True)
logger.info(f"Exporting ONNX model to: {onnx_export_path}")
# Export and save the ONNX model
temp_model = ORTModelForFeatureExtraction.from_pretrained(
'BAAI/bge-m3',
export=True,
provider="CPUExecutionProvider"
)
temp_model.save_pretrained(onnx_export_path)
logger.info(f"ONNX model saved to: {onnx_export_path}")
del temp_model
# Look for the exported model in the new location
onnx_export_pattern = f'{onnx_export_path}/model.onnx'
onnx_files = glob.glob(onnx_export_pattern)
# Also check the original pattern in case it was cached differently
if not onnx_files:
onnx_files = glob.glob(onnx_pattern)
if onnx_files:
onnx_path = onnx_files[0]
logger.info(f"ONNX model exported to: {onnx_path}")
# Load with direct session
sess_options = ort.SessionOptions()
sess_options.log_severity_level = 3
sess_options.intra_op_num_threads = 20
sess_options.inter_op_num_threads = 4
sess_options.execution_mode = ort.ExecutionMode.ORT_PARALLEL
sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
onnx_session = ort.InferenceSession(
onnx_path,
sess_options=sess_options,
providers=['CPUExecutionProvider']
)
use_onnx = True
model_mode = "ONNX Runtime (Direct Session - DGX Exported)"
logger.info("✅ BGE-M3 model exported and loaded with direct ONNX Runtime session (DGX optimized)")
else:
raise FileNotFoundError("ONNX export completed but model file not found")
except Exception as onnx_error:
logger.warning(f"ONNX Runtime setup failed: {onnx_error}")
logger.warning(f"Error type: {type(onnx_error).__name__}")
logger.info("Falling back to SentenceTransformers...")
raise onnx_error
else:
logger.info("ONNX Runtime disabled or unavailable, using SentenceTransformers...")
raise ImportError("ONNX disabled")
except Exception:
# Fallback to SentenceTransformers if ONNX fails or is disabled
logger.info("Loading BGE-M3 with SentenceTransformers (DGX Grace optimized)...")
try:
# Configure PyTorch for DGX Grace
torch.set_num_threads(20) # DGX Grace 20 cores
torch.set_num_interop_threads(4)
# Load model with DGX optimizations
model = SentenceTransformer(
'BAAI/bge-m3',
device='cpu',
trust_remote_code=True,
model_kwargs={
'torch_dtype': torch.float16, # Memory optimization for large models
'low_cpu_mem_usage': False # Use full memory for performance
}
)
# Enable optimizations
model._modules['0'].auto_model.eval()
use_onnx = False
model_mode = "SentenceTransformers (DGX Grace)"
logger.info("✅ BGE-M3 loaded successfully with SentenceTransformers (DGX Grace optimized)")
except Exception as e:
logger.error(f"❌ Failed to load BGE-M3 model: {e}")
raise e
# Log model configuration
logger.info(f"Model mode: {model_mode}")
logger.info(f"Using ONNX: {use_onnx}")
logger.info(f"OMP_NUM_THREADS: {os.environ.get('OMP_NUM_THREADS', 'not set')}")
logger.info(f"PYTORCH_NUM_THREADS: {os.environ.get('PYTORCH_NUM_THREADS', 'not set')}")
yield
# Cleanup
logger.info("Shutting down BGE-M3 embedding server...")
if model:
del model
if tokenizer:
del tokenizer
if onnx_session:
del onnx_session
torch.cuda.empty_cache() if torch.cuda.is_available() else None
# FastAPI app with lifespan
app = FastAPI(
title="GT 2.0 DGX BGE-M3 Embedding Server",
description="DGX Grace ARM optimized BGE-M3 embedding service for GT 2.0",
version="2.0.0-dgx",
lifespan=lifespan
)
# Pydantic models for OpenAI compatibility
class EmbeddingRequest(BaseModel):
input: List[str] = Field(..., description="Input texts to embed")
model: str = Field(default="BAAI/bge-m3", description="Model name")
encoding_format: str = Field(default="float", description="Encoding format")
dimensions: Optional[int] = Field(None, description="Number of dimensions")
user: Optional[str] = Field(None, description="User identifier")
class EmbeddingData(BaseModel):
object: str = "embedding"
embedding: List[float]
index: int
class EmbeddingUsage(BaseModel):
prompt_tokens: int
total_tokens: int
class EmbeddingResponse(BaseModel):
object: str = "list"
data: List[EmbeddingData]
model: str
usage: EmbeddingUsage
@app.get("/health")
async def health_check():
"""Health check endpoint with DGX system metrics"""
if not model and not onnx_session:
raise HTTPException(status_code=503, detail="Model not loaded")
# Include system metrics for DGX monitoring
cpu_percent = psutil.cpu_percent(interval=1)
memory = psutil.virtual_memory()
return {
"status": "healthy",
"model": "BAAI/bge-m3",
"mode": model_mode,
"using_onnx": use_onnx,
"platform": os.environ.get('GT2_PLATFORM', 'unknown'),
"architecture": os.environ.get('GT2_ARCHITECTURE', 'unknown'),
"cpu_cores": psutil.cpu_count(logical=True),
"cpu_usage": cpu_percent,
"memory_total_gb": round(memory.total / (1024**3), 1),
"memory_used_gb": round(memory.used / (1024**3), 1),
"memory_available_gb": round(memory.available / (1024**3), 1),
"omp_threads": os.environ.get('OMP_NUM_THREADS', 'not set'),
"pytorch_threads": os.environ.get('PYTORCH_NUM_THREADS', 'not set'),
"timestamp": datetime.utcnow().isoformat()
}
@app.post("/v1/embeddings", response_model=EmbeddingResponse)
async def create_embeddings(request: EmbeddingRequest):
"""Create embeddings using BGE-M3 model (OpenAI compatible)"""
if not model and not onnx_session:
raise HTTPException(status_code=503, detail="Model not loaded")
try:
start_time = time.time()
input_texts = request.input
# Validate input
if not input_texts or len(input_texts) == 0:
raise HTTPException(status_code=400, detail="Input texts cannot be empty")
# Log processing info for DGX monitoring
logger.info(f"Processing {len(input_texts)} texts with {model_mode}")
# DGX optimized batch processing
if use_onnx and onnx_session:
# Direct ONNX Runtime path for maximum DGX Grace performance
batch_size = min(len(input_texts), 128) # Larger batches for DGX Grace
embeddings = []
for i in range(0, len(input_texts), batch_size):
batch_texts = input_texts[i:i + batch_size]
# Tokenize
inputs = tokenizer(
batch_texts,
padding=True,
truncation=True,
return_tensors="np",
max_length=512
)
# Run ONNX inference
# BGE-M3 ONNX model outputs: [token_embeddings, sentence_embedding]
outputs = onnx_session.run(
None, # Get all outputs
{
'input_ids': inputs['input_ids'].astype(np.int64),
'attention_mask': inputs['attention_mask'].astype(np.int64)
}
)
# Get token embeddings (first output)
token_embeddings = outputs[0]
# Mean pooling with attention mask
batch_embeddings = mean_pooling(token_embeddings, inputs['attention_mask'])
# Normalize embeddings
norms = np.linalg.norm(batch_embeddings, axis=1, keepdims=True)
batch_embeddings = batch_embeddings / np.maximum(norms, 1e-9)
embeddings.extend(batch_embeddings)
embeddings = np.array(embeddings)
else:
# SentenceTransformers path with DGX optimization
with torch.no_grad():
embeddings = model.encode(
input_texts,
convert_to_numpy=True,
normalize_embeddings=True,
batch_size=32, # Optimal for DGX Grace
show_progress_bar=False
)
# Convert to list format for OpenAI compatibility
if hasattr(embeddings, 'tolist'):
embeddings = embeddings.tolist()
elif isinstance(embeddings, list) and len(embeddings) > 0:
if hasattr(embeddings[0], 'tolist'):
embeddings = [emb.tolist() for emb in embeddings]
# Create response in OpenAI format
embedding_data = [
EmbeddingData(
embedding=embedding,
index=i
)
for i, embedding in enumerate(embeddings)
]
processing_time = time.time() - start_time
# Calculate token usage (rough estimation)
total_tokens = sum(len(text.split()) for text in input_texts)
# Log performance metrics for DGX monitoring
texts_per_second = len(input_texts) / processing_time
logger.info(f"Processed {len(input_texts)} texts in {processing_time:.2f}s ({texts_per_second:.1f} texts/sec)")
return EmbeddingResponse(
data=embedding_data,
model=request.model,
usage=EmbeddingUsage(
prompt_tokens=total_tokens,
total_tokens=total_tokens
)
)
except Exception as e:
logger.error(f"❌ Embedding generation failed: {e}")
logger.exception("Full traceback:")
raise HTTPException(status_code=500, detail=f"Embedding generation failed: {str(e)}")
@app.get("/v1/models")
@app.get("/models")
async def list_models():
"""List available models (OpenAI compatible)"""
return {
"object": "list",
"data": [
{
"id": "BAAI/bge-m3",
"object": "model",
"created": int(time.time()),
"owned_by": "gt2-dgx",
"permission": [],
"root": "BAAI/bge-m3",
"parent": None
}
]
}
@app.get("/")
async def root():
"""Root endpoint with DGX info"""
return {
"service": "GT 2.0 DGX BGE-M3 Embedding Server",
"version": "2.0.0-dgx",
"model": "BAAI/bge-m3",
"mode": model_mode,
"platform": os.environ.get('GT2_PLATFORM', 'unknown'),
"architecture": os.environ.get('GT2_ARCHITECTURE', 'unknown'),
"cpu_cores": psutil.cpu_count(logical=True),
"openai_compatible": True,
"endpoints": {
"embeddings": "/v1/embeddings",
"models": "/models",
"health": "/health"
}
}
if __name__ == "__main__":
logger.info("Starting GT 2.0 DGX BGE-M3 Embedding Server...")
logger.info(f"Platform: {os.environ.get('GT2_PLATFORM', 'unknown')}")
logger.info(f"Architecture: {os.environ.get('GT2_ARCHITECTURE', 'unknown')}")
uvicorn.run(
app,
host="0.0.0.0",
port=8000,
workers=1, # Single worker for model memory efficiency
loop="asyncio",
access_log=True
)

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# GT AI OS Environment Configuration Template
# Copy to .env - secrets are auto-generated on install if empty
# === SECURITY CONFIGURATION (Auto-generated if empty) ===
JWT_SECRET=
CONTROL_PANEL_JWT_SECRET=
RESOURCE_CLUSTER_SECRET_KEY=
# === ENVIRONMENT SETTINGS ===
ENVIRONMENT=production
DEBUG=false
LOG_LEVEL=INFO
# === DATABASE PASSWORDS (Auto-generated if empty) ===
ADMIN_POSTGRES_PASSWORD=
TENANT_POSTGRES_PASSWORD=
TENANT_USER_PASSWORD=
TENANT_REPLICATOR_PASSWORD=
RABBITMQ_PASSWORD=
# === CORS CONFIGURATION ===
CORS_ORIGINS=http://localhost:3000,http://localhost:8001,http://localhost:8002,http://localhost:8003
# === TENANT CONFIGURATION ===
TENANT_ID=test
TENANT_DOMAIN=test-company
# === API KEY ENCRYPTION (Auto-generated if empty) ===
API_KEY_ENCRYPTION_KEY=
# === TWO-FACTOR AUTHENTICATION (Auto-generated if empty) ===
TFA_ENCRYPTION_KEY=
TFA_ISSUER_NAME=GT Edge AI
TFA_TEMP_TOKEN_EXPIRY_MINUTES=5
TFA_RATE_LIMIT_ATTEMPTS=5
TFA_RATE_LIMIT_WINDOW_MINUTES=1
# === SMTP (Enterprise Only - Password Reset) ===
# SMTP_HOST=smtp-relay.brevo.com
# SMTP_PORT=587
# SMTP_USERNAME=
# SMTP_PASSWORD=
# SMTP_FROM_EMAIL=
# SMTP_FROM_NAME=GT AI OS
# SMTP_USE_TLS=true

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---
name: Bug Report
about: Report a bug to help us improve GT AI OS
title: '[Bug] '
labels: bug
assignees: ''
---
## Describe the Bug
A clear and concise description of what the bug is.
## Steps to Reproduce
1. Go to '...'
2. Click on '...'
3. See error
## Expected Behavior
A clear and concise description of what you expected to happen.
## Actual Behavior
What actually happened instead.
## Screenshots
If applicable, add screenshots to help explain your problem.
## Environment
- **OS:** [e.g., macOS 14.0, Ubuntu 22.04]
- **Architecture:** [e.g., ARM64/Apple Silicon, x86_64]
- **Docker Version:** [e.g., 24.0.0]
- **GT AI OS Version:** [e.g., v2.0.33]
## Container Logs
If relevant, include logs from the affected container:
```
docker compose logs <service-name> --tail=50
```
## Additional Context
Add any other context about the problem here.

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---
name: Feature Request
about: Suggest a new feature for GT AI OS
title: '[Feature] '
labels: enhancement
assignees: ''
---
## Problem Statement
A clear and concise description of the problem this feature would solve.
Ex. "I'm always frustrated when [...]"
## Proposed Solution
A clear and concise description of what you want to happen.
## Alternatives Considered
A clear and concise description of any alternative solutions or features you've considered.
## Use Case
Describe the use case(s) this feature would enable:
- Who would use this feature?
- How often would it be used?
- What workflow does it improve?
## Additional Context
Add any other context, mockups, or screenshots about the feature request here.

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## ⚠️ Pull Requests Not Accepted
GT AI OS Community is a **read-only distribution** of GT AI OS.
**We do not accept pull requests.** This PR will be closed without review.
---
### How to Contribute
- **Bug reports:** [Open an issue](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/issues/new?template=bug_report.md)
- **Feature requests:** [Open an issue](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/issues/new?template=feature_request.md)
- **Questions:** [Start a discussion](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/discussions)
Thank you for your interest in GT AI OS!

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name: Build and Push Multi-Arch Docker Images
on:
push:
branches:
- main
tags:
- 'v*'
pull_request:
branches:
- main
workflow_dispatch:
env:
REGISTRY: ghcr.io
jobs:
build-amd64:
name: Build ${{ matrix.service }} (amd64)
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
service:
- control-panel-backend
- control-panel-frontend
- tenant-backend
- tenant-app
- resource-cluster
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to GitHub Container Registry
if: github.event_name != 'pull_request'
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GHCR_TOKEN }}
- name: Extract metadata
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ github.repository }}/${{ matrix.service }}
tags: |
type=ref,event=branch,suffix=-amd64
type=ref,event=pr,suffix=-amd64
type=semver,pattern={{version}},suffix=-amd64
type=sha,prefix={{branch}}-,suffix=-amd64
- name: Build and push (amd64)
uses: docker/build-push-action@v5
with:
context: apps/${{ matrix.service }}
file: apps/${{ matrix.service }}/Dockerfile
platforms: linux/amd64
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha,scope=${{ matrix.service }}-amd64
cache-to: type=gha,mode=max,scope=${{ matrix.service }}-amd64
provenance: false
build-arm64:
name: Build ${{ matrix.service }} (arm64)
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
service:
- control-panel-backend
- control-panel-frontend
- tenant-backend
- tenant-app
- resource-cluster
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
with:
platforms: arm64
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to GitHub Container Registry
if: github.event_name != 'pull_request'
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GHCR_TOKEN }}
- name: Extract metadata
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ github.repository }}/${{ matrix.service }}
tags: |
type=ref,event=branch,suffix=-arm64
type=ref,event=pr,suffix=-arm64
type=semver,pattern={{version}},suffix=-arm64
type=sha,prefix={{branch}}-,suffix=-arm64
- name: Build and push (arm64)
uses: docker/build-push-action@v5
with:
context: apps/${{ matrix.service }}
file: apps/${{ matrix.service }}/Dockerfile
platforms: linux/arm64
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha,scope=${{ matrix.service }}-arm64
cache-to: type=gha,mode=max,scope=${{ matrix.service }}-arm64
provenance: false
create-manifest:
name: Create multi-arch manifest for ${{ matrix.service }}
runs-on: ubuntu-latest
needs: [build-amd64, build-arm64]
if: github.event_name != 'pull_request'
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
service:
- control-panel-backend
- control-panel-frontend
- tenant-backend
- tenant-app
- resource-cluster
steps:
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GHCR_TOKEN }}
- name: Determine tags
id: tags
run: |
# Get branch/tag name
if [[ "${{ github.ref }}" == refs/tags/* ]]; then
TAG="${{ github.ref_name }}"
elif [[ "${{ github.ref }}" == refs/heads/* ]]; then
TAG="${GITHUB_REF#refs/heads/}"
else
TAG="${{ github.sha }}"
fi
echo "tag=${TAG}" >> $GITHUB_OUTPUT
# Set latest tag only for main branch
if [[ "${TAG}" == "main" ]]; then
echo "latest=true" >> $GITHUB_OUTPUT
else
echo "latest=false" >> $GITHUB_OUTPUT
fi
- name: Create and push multi-arch manifest
run: |
# Lowercase the repository name (Docker requires lowercase)
REPO_LOWER=$(echo "${{ github.repository }}" | tr '[:upper:]' '[:lower:]')
IMAGE="${{ env.REGISTRY }}/${REPO_LOWER}/${{ matrix.service }}"
TAG="${{ steps.tags.outputs.tag }}"
# Create manifest from arch-specific images
docker buildx imagetools create -t ${IMAGE}:${TAG} \
${IMAGE}:${TAG}-amd64 \
${IMAGE}:${TAG}-arm64
# Also tag as latest if on main
if [[ "${{ steps.tags.outputs.latest }}" == "true" ]]; then
docker buildx imagetools create -t ${IMAGE}:latest \
${IMAGE}:${TAG}-amd64 \
${IMAGE}:${TAG}-arm64
fi
# If this is a version tag, also create version manifest
if [[ "${{ github.ref }}" == refs/tags/v* ]]; then
VERSION="${{ github.ref_name }}"
docker buildx imagetools create -t ${IMAGE}:${VERSION} \
${IMAGE}:${TAG}-amd64 \
${IMAGE}:${TAG}-arm64
fi

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# Dependencies
node_modules/
# Keep package-lock.json for CI/CD reproducibility
# package-lock.json should be committed
yarn.lock
pnpm-lock.yaml
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
# Python build/dist directories (only at root level)
/build/
develop-eggs/
/dist/
downloads/
eggs/
.eggs/
# Python lib directories (only at root level)
/lib/
/lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
venv/
ENV/
env/
.venv/
pip-log.txt
pip-delete-this-directory.txt
.pytest_cache/
.coverage
htmlcov/
.tox/
.hypothesis/
*.cover
.coverage.*
coverage.xml
*.log
# Environment variables
# .env contains secrets and must not be committed to public repos
.env
.env.local
.env.production.local
.env.development.local
.env.test.local
# Internal/Development files (not for public repo)
CLAUDE.md
.claude/
tests/
docs/
.analysis/
# .deployment/ is now fully tracked (archive subfolder deleted)
backups/
config/pgbouncer/
infra/kubernetes/
infra/terraform/
# Internal scripts (not for public repo)
scripts/backup/
scripts/dev/
scripts/dgx/
scripts/production/
scripts/seed/
scripts/staging/
scripts/x86/
scripts/demo-data/
scripts/validation/
scripts/postgresql/.archive/
scripts/postgresql/hotfixes/
# IDE
.vscode/
.idea/
*.swp
*.swo
*~
.DS_Store
Thumbs.db
# Build outputs
.next/
out/
# Build directories (but not in packages)
apps/*/build/
node_modules/
# Next.js build directories
apps/*/.next/
*.egg-info/
.cache/
.parcel-cache/
# Note: packages/*/dist/ is NOT ignored - these are needed for monorepo builds
# Testing
coverage/
.nyc_output/
junit.xml
test-results/
playwright-report/
test-results.json
# Database
*.db
*.sqlite
*.sqlite3
*.db-journal
*.db-shm
*.db-wal
# MinIO removed - PostgreSQL handles all file storage
# Logs
logs/
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# MCP Server PIDs
.context7.pid
.playwright.pid
*.pid
# Temporary files
tmp/
temp/
.tmp/
# OS files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Desktop.ini
# Docker
docker-compose.override.yml
# Kubernetes
*.kubeconfig
kubeconfig
# Terraform
*.tfstate
*.tfstate.*
.terraform/
.terraform.lock.hcl
terraform.tfvars
override.tf
override.tf.json
*_override.tf
*_override.tf.json
# Secrets and credentials
*credentials*.txt
*credentials*.json
*secrets*.txt
*secrets*.json
*.pem
*.key
*.crt
*.cer
*.pfx
*.p12
# Backup files
*.backup
*.bak
*.orig
# MinIO removed - PostgreSQL handles all file storage
# Redis removed - PostgreSQL handles all caching
# PostgreSQL data
postgres-data/
# ChromaDB data
chroma-data/
# Grafana data
grafana-data/
# Prometheus data
prometheus-data/
# Next.js specific
.next/
out/
next-env.d.ts
# Vercel
.vercel
# TypeScript
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional stylelint cache
.stylelintcache
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variable files (development .env is now tracked)
.env.development.local
.env.test.local
.env.production.local
# .env.local is now tracked to ensure console logging defaults are consistent
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v2
.yarn/cache
.yarn/unplugged
.yarn/build-state.yml
.yarn/install-state.gz
.pnp.*
# Turborepo
.turbo
# Misc
*.seed
*.pid.lock
*.log.gz
*.gz
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Redis cache files removed - PostgreSQL handles all caching
# Archive directory for temporary files
archive/
volumes/

37
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# Code of Conduct
## Our Promise
We want GT AI OS to be a welcoming place for everyone, regardless of background or experience level.
## How to Behave
**Do:**
- Be kind and patient with others
- Be respectful, even when you disagree
- Accept feedback gracefully
- Help others learn
**Don't:**
- Insult or put down others
- Harass anyone for any reason
- Share others' private information
- Be disruptive or offensive
## What Happens If Someone Breaks These Rules
If someone is behaving badly, we may:
- Give them a warning
- Temporarily or permanently ban them from the community
## How to Report a Problem
If someone is making you uncomfortable or breaking these rules:
**Contact us at:** [Contact Us](https://gtedge.ai/contact-us)
We take all reports seriously and will respond as quickly as possible.
## Attribution
This Code of Conduct is based on the Contributor Covenant, version 2.1.

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# Contributing to GT AI OS Community
Thank you for your interest in GT AI OS Community Edition.
## Reporting Issues
All contributions are handled through GitHub Issues.
### Bug Reports
To report a bug, please open a new issue at:
https://github.com/gt-edge-ai/gt-ai-os-community/issues
Include the following information:
- Description of the issue
- Steps to reproduce
- Expected behavior vs. actual behavior
- Platform (macOS, Ubuntu, or DGX)
- Relevant error messages or logs
### Feature Requests
To request a new feature, open a GitHub Issue with:
- Description of the proposed feature
- Use case and benefits
- Any implementation suggestions (optional)
### Questions
For questions about GT AI OS, open a GitHub Issue with "Question:" at the beginning of the title.
## Code of Conduct
All participants must adhere to our [Code of Conduct](CODE_OF_CONDUCT.md).
## License
By participating in this project, you agree that any contributions will be licensed under the [Apache License 2.0](LICENSE).

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Apache License
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http://www.apache.org/licenses/
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END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
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Copyright 2025 GT Edge AI
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
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# GT AI OS Community Edition
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)
A self-hosted AI platform for teams and small businesses. Build and deploy custom AI agents with full data privacy and bring-your-own inference via NVIDIA NIM, Ollama, Groq, vLLM, and more.
## Supported Platforms
| Platform | Host Architecture | Status |
|----------|--------------|--------|
| **Ubuntu Linux** 24.04 | x86_64 | Supported |
| **NVIDIA DGX OS 7** (Optimized for Grace Blackwell Architecture) | ARM64 | Supported |
| **macOS** (Apple Silicon M1+) | ARM64 | Supported |
---
## Features
- **AI Agent Builder** - Create custom AI agents with your own instructions
- **Local Model Support** - Run local AI models with Ollama (completely offline)
- **Document Processing** - Upload documents and ask questions about them
- **Team Management** - Create teams and control who can access what
- **Usage Tracking** - See how your AI agents are being used
---
## Documentation
| Topic | Description |
|-------|-------------|
| [Installation](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/Installation) | Detailed setup instructions |
| [Updating](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/Updating) | Keep GT AI OS up to date |
| [NVIDIA NIM Setup](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/NVIDIA-NIM-Setup) | Enterprise GPU-accelerated inference |
| [Ollama Setup](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/Ollama-Setup) | Set up local AI models |
| [Groq Cloud Setup](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/Groq-Cloud-Setup) | Ultra-fast cloud inference |
| [Cloudflare Tunnel](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/Cloudflare-Tunnel-Setup) | Access GT AI OS from anywhere |
| [Troubleshooting](https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/wiki/Troubleshooting) | Common issues and solutions |
---
## Community vs Enterprise
| Feature | Community (Free) | Enterprise (Paid) |
|---------|-----------|------------|
| **Users** | Up to 50 users | User licenses per seat |
| **Support** | GitHub Issues | Dedicated human support |
| **Billing & Reports** | Not included | Full financial tracking |
| **Pro Agents** | Not included | Pre-built professional agents |
| **AI Inference** | BYO/DIY | Fully Managed |
| **Setup** | DIY | Fully Managed |
| **Uptime Guarantee** | Self | 99.99% uptime SLA |
**Want Enterprise?** [Contact GT Edge AI](https://gtedge.ai/contact-us/)
---
## Architecture
```
┌────────────────────────────────────────────────────────────────┐
│ GT AI OS │
├──────────────────┬──────────────────────┬──────────────────────┤
│ Control Panel │ Tenant App │ Resource Cluster │
│ (Admin UI) │ (User UI) │(AI Inference Routing)│
├──────────────────┴──────────────────────┴──────────────────────┤
│ PostgreSQL │
│ Control DB │ Tenant DB │
└────────────────────────────────────────────────────────────────┘
```
---
## Contributing
Found a bug? Have an idea? Open an issue: https://github.com/GT-Edge-AI-Internal/gt-ai-os-community/issues
See [CONTRIBUTING.md](CONTRIBUTING.md) for details.
---
## Security
Found a security issue? Report via [our contact form](https://gtedge.ai/contact-us)
See [SECURITY.md](SECURITY.md) for our security policy.
---
## License
Apache License 2.0 - See [LICENSE](LICENSE)
---
**GT AI OS Community Edition** | Made by [GT Edge AI](https://gtedge.ai)

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# Security Policy
## Reporting a Vulnerability
If you discover a security vulnerability in GT AI OS, please report it responsibly.
**Contact:** [Contact Us](https://gtedge.ai/contact-us)
### Required Information
When reporting a vulnerability, please include:
- Description of the vulnerability
- Steps to reproduce (if applicable)
- Potential impact assessment
- Suggested remediation (optional)
### Responsible Disclosure
- Please allow reasonable time to address the issue before any public disclosure
## Supported Versions
| Version | Security Updates |
|---------|------------------|
| Latest release | Supported |
| Previous releases | Not supported |
## Security Best Practices
To maintain a secure installation:
- Keep GT AI OS updated to the latest version
- Keep Docker and your operating system updated
- Use strong, unique passwords
- Do not share credentials

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# Control Panel Backend Dockerfile
FROM python:3.11-slim
# Build arg for dev dependencies (default: false for production)
ARG INSTALL_DEV=false
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
postgresql-client \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements (dev requirements may not exist in production builds)
COPY requirements.txt .
COPY requirements-dev.tx[t] ./
# Install Python dependencies
# Dev dependencies only installed when INSTALL_DEV=true
RUN pip install --no-cache-dir -r requirements.txt && \
if [ "$INSTALL_DEV" = "true" ] && [ -f requirements-dev.txt ]; then \
pip install --no-cache-dir -r requirements-dev.txt; \
fi
# Copy application code
COPY . .
# Create non-root user
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser
# Expose port
EXPOSE 8000
# Run the application with multiple workers for production
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4"]

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# Development Dockerfile for Control Panel Backend
# This is separate from production Dockerfile
FROM python:3.11-slim
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
postgresql-client \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements file
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Create a non-root user for development
RUN useradd -m -u 1000 devuser && chown -R devuser:devuser /app
USER devuser
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Development command (will be overridden by docker-compose)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]

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"""Add user-tenant assignments for multi-tenant user management
Revision ID: 005_add_user_tenant_assignments
Revises: 004_add_license_billing_tables
Create Date: 2025-09-10 12:00:00.000000
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = '005_add_user_tenant_assignments'
down_revision: Union[str, None] = '004_add_license_billing_tables'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade to add user-tenant assignments table and update user table"""
# Create user_tenant_assignments table
op.create_table(
'user_tenant_assignments',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('tenant_id', sa.Integer(), nullable=False),
# Tenant-specific user profile
sa.Column('tenant_user_role', sa.String(20), nullable=False, default='tenant_user'),
sa.Column('tenant_display_name', sa.String(100), nullable=True),
sa.Column('tenant_email', sa.String(255), nullable=True),
sa.Column('tenant_department', sa.String(100), nullable=True),
sa.Column('tenant_title', sa.String(100), nullable=True),
# Tenant-specific authentication (optional)
sa.Column('tenant_password_hash', sa.String(255), nullable=True),
sa.Column('requires_2fa', sa.Boolean(), nullable=False, default=False),
sa.Column('last_password_change', sa.DateTime(timezone=True), nullable=True),
# Tenant-specific permissions and limits
sa.Column('tenant_capabilities', sa.JSON(), nullable=False, default=list),
sa.Column('resource_limits', sa.JSON(), nullable=False, default=dict),
# Status and activity tracking
sa.Column('is_active', sa.Boolean(), nullable=False, default=True),
sa.Column('is_primary_tenant', sa.Boolean(), nullable=False, default=False),
sa.Column('joined_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('last_accessed', sa.DateTime(timezone=True), nullable=True),
sa.Column('last_login_at', sa.DateTime(timezone=True), nullable=True),
# Invitation tracking
sa.Column('invited_by', sa.Integer(), nullable=True),
sa.Column('invitation_accepted_at', sa.DateTime(timezone=True), nullable=True),
# Timestamps
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('deleted_at', sa.DateTime(timezone=True), nullable=True),
# Primary key
sa.PrimaryKeyConstraint('id'),
# Foreign key constraints
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['tenant_id'], ['tenants.id'], ondelete='CASCADE'),
sa.ForeignKeyConstraint(['invited_by'], ['users.id']),
# Indexes (created separately with CONCURRENTLY for zero downtime)
# sa.Index('ix_user_tenant_assignments_user_id', 'user_id'),
# sa.Index('ix_user_tenant_assignments_tenant_id', 'tenant_id'),
# sa.Index('ix_user_tenant_assignments_tenant_email', 'tenant_email'),
# Unique constraint
sa.UniqueConstraint('user_id', 'tenant_id', name='unique_user_tenant_assignment')
)
# Add current_tenant_id to users table (remove old tenant_id later)
op.add_column('users', sa.Column('current_tenant_id', sa.Integer(), nullable=True))
# Create index for current_tenant_id (using CONCURRENTLY for zero downtime)
op.execute("CREATE INDEX CONCURRENTLY IF NOT EXISTS ix_users_current_tenant_id ON users(current_tenant_id)")
# Create indexes for user_tenant_assignments table (using CONCURRENTLY for zero downtime)
op.execute("CREATE INDEX CONCURRENTLY IF NOT EXISTS ix_user_tenant_assignments_user_id ON user_tenant_assignments(user_id)")
op.execute("CREATE INDEX CONCURRENTLY IF NOT EXISTS ix_user_tenant_assignments_tenant_id ON user_tenant_assignments(tenant_id)")
op.execute("CREATE INDEX CONCURRENTLY IF NOT EXISTS ix_user_tenant_assignments_tenant_email ON user_tenant_assignments(tenant_email)")
# Data migration: Convert existing users.tenant_id to user_tenant_assignments
# This is a raw SQL operation to handle the data migration
connection = op.get_bind()
# Step 1: Get all existing users with tenant_id
result = connection.execute(sa.text("""
SELECT id, tenant_id, user_type, email, full_name, capabilities
FROM users
WHERE tenant_id IS NOT NULL
"""))
users_to_migrate = result.fetchall()
# Step 2: Create user_tenant_assignments for each user
for user in users_to_migrate:
user_id, tenant_id, user_type, email, full_name, capabilities = user
# Set default resource limits based on user type
resource_limits = {
"max_conversations": 1000 if user_type == "super_admin" else 100,
"max_datasets": 100 if user_type == "super_admin" else 10,
"max_agents": 200 if user_type == "super_admin" else 20,
"daily_api_calls": 10000 if user_type == "super_admin" else 1000
}
# Convert old capabilities to tenant_capabilities
tenant_capabilities = capabilities if capabilities else []
# Insert user_tenant_assignment
connection.execute(sa.text("""
INSERT INTO user_tenant_assignments (
user_id, tenant_id, tenant_user_role, tenant_display_name,
tenant_email, tenant_capabilities, resource_limits,
is_active, is_primary_tenant, joined_at, created_at, updated_at
) VALUES (
:user_id, :tenant_id, :user_type, :full_name,
:email, :tenant_capabilities, :resource_limits,
true, true, now(), now(), now()
)
"""), {
'user_id': user_id,
'tenant_id': tenant_id,
'user_type': user_type,
'full_name': full_name,
'email': email,
'tenant_capabilities': sa.dialects.postgresql.JSON().literal_processor(dialect=connection.dialect)(tenant_capabilities),
'resource_limits': sa.dialects.postgresql.JSON().literal_processor(dialect=connection.dialect)(resource_limits)
})
# Update user's current_tenant_id to their primary tenant
connection.execute(sa.text("""
UPDATE users
SET current_tenant_id = :tenant_id
WHERE id = :user_id
"""), {'tenant_id': tenant_id, 'user_id': user_id})
# Step 3: Remove old tenant_id column from users (this is irreversible)
# First remove the foreign key constraint
op.drop_constraint('users_tenant_id_fkey', 'users', type_='foreignkey')
# Then drop the column
op.drop_column('users', 'tenant_id')
def downgrade() -> None:
"""Downgrade: Remove user-tenant assignments and restore single tenant_id"""
# Re-add tenant_id column to users
op.add_column('users', sa.Column('tenant_id', sa.Integer(), nullable=True))
# Re-create foreign key constraint
op.create_foreign_key('users_tenant_id_fkey', 'users', 'tenants', ['tenant_id'], ['id'], ondelete='CASCADE')
# Data migration back: Convert user_tenant_assignments to users.tenant_id
connection = op.get_bind()
# Get primary tenant assignments for each user
result = connection.execute(sa.text("""
SELECT user_id, tenant_id, tenant_capabilities
FROM user_tenant_assignments
WHERE is_primary_tenant = true AND is_active = true
"""))
assignments_to_migrate = result.fetchall()
# Update users table with their primary tenant
for assignment in assignments_to_migrate:
user_id, tenant_id, tenant_capabilities = assignment
connection.execute(sa.text("""
UPDATE users
SET tenant_id = :tenant_id,
capabilities = :capabilities
WHERE id = :user_id
"""), {
'tenant_id': tenant_id,
'user_id': user_id,
'capabilities': sa.dialects.postgresql.JSON().literal_processor(dialect=connection.dialect)(tenant_capabilities or [])
})
# Drop current_tenant_id column and index
op.drop_index('ix_users_current_tenant_id', 'users')
op.drop_column('users', 'current_tenant_id')
# Drop user_tenant_assignments table
op.drop_table('user_tenant_assignments')

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"""add tenant templates table
Revision ID: 006_add_tenant_templates
Revises: 005_add_user_tenant_assignments
Create Date: 2025-09-24
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import JSONB
# revision identifiers, used by Alembic.
revision = '006_add_tenant_templates'
down_revision = '005_add_user_tenant_assignments'
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
'tenant_templates',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(length=100), nullable=False),
sa.Column('description', sa.Text(), nullable=True),
sa.Column('template_data', JSONB, nullable=False),
sa.Column('is_default', sa.Boolean(), nullable=False, server_default='false'),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), onupdate=sa.text('now()'), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_tenant_templates_id'), 'tenant_templates', ['id'], unique=False)
op.create_index(op.f('ix_tenant_templates_name'), 'tenant_templates', ['name'], unique=False)
def downgrade():
op.drop_index(op.f('ix_tenant_templates_name'), table_name='tenant_templates')
op.drop_index(op.f('ix_tenant_templates_id'), table_name='tenant_templates')
op.drop_table('tenant_templates')

37
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"""add password reset rate limits table
Revision ID: 007_add_password_reset_rate_limits
Revises: 006_add_tenant_templates
Create Date: 2025-10-06
Email-based rate limiting only (no IP tracking)
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '007_add_password_reset_rate_limits'
down_revision = '006_add_tenant_templates'
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
'password_reset_rate_limits',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('email', sa.String(length=255), nullable=False),
sa.Column('request_count', sa.Integer(), nullable=False, server_default='1'),
sa.Column('window_start', sa.DateTime(timezone=True), nullable=False),
sa.Column('window_end', sa.DateTime(timezone=True), nullable=False),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_password_reset_rate_limits_email'), 'password_reset_rate_limits', ['email'], unique=False)
op.create_index(op.f('ix_password_reset_rate_limits_window_end'), 'password_reset_rate_limits', ['window_end'], unique=False)
def downgrade():
op.drop_index(op.f('ix_password_reset_rate_limits_window_end'), table_name='password_reset_rate_limits')
op.drop_index(op.f('ix_password_reset_rate_limits_email'), table_name='password_reset_rate_limits')
op.drop_table('password_reset_rate_limits')

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"""add totp 2fa fields
Revision ID: 008_add_totp_2fa
Revises: 007_add_password_reset_rate_limits
Create Date: 2025-10-07
Adds TOTP Two-Factor Authentication support with optional and mandatory enforcement.
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '008_add_totp_2fa'
down_revision = '007_add_password_reset_rate_limits'
branch_labels = None
depends_on = None
def upgrade():
# Add TFA fields to users table
op.add_column('users', sa.Column('tfa_enabled', sa.Boolean(), nullable=False, server_default='false'))
op.add_column('users', sa.Column('tfa_secret', sa.Text(), nullable=True))
op.add_column('users', sa.Column('tfa_required', sa.Boolean(), nullable=False, server_default='false'))
# Add indexes for query optimization
op.create_index(op.f('ix_users_tfa_enabled'), 'users', ['tfa_enabled'], unique=False)
op.create_index(op.f('ix_users_tfa_required'), 'users', ['tfa_required'], unique=False)
# Create TFA verification rate limits table
op.create_table(
'tfa_verification_rate_limits',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('request_count', sa.Integer(), nullable=False, server_default='1'),
sa.Column('window_start', sa.DateTime(timezone=True), nullable=False),
sa.Column('window_end', sa.DateTime(timezone=True), nullable=False),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_tfa_verification_rate_limits_user_id'), 'tfa_verification_rate_limits', ['user_id'], unique=False)
op.create_index(op.f('ix_tfa_verification_rate_limits_window_end'), 'tfa_verification_rate_limits', ['window_end'], unique=False)
# Create used temp tokens table for replay prevention
op.create_table(
'used_temp_tokens',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('token_id', sa.String(length=255), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('used_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('expires_at', sa.DateTime(timezone=True), nullable=False),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='CASCADE'),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('token_id')
)
op.create_index(op.f('ix_used_temp_tokens_token_id'), 'used_temp_tokens', ['token_id'], unique=True)
op.create_index(op.f('ix_used_temp_tokens_expires_at'), 'used_temp_tokens', ['expires_at'], unique=False)
def downgrade():
# Drop used temp tokens table
op.drop_index(op.f('ix_used_temp_tokens_expires_at'), table_name='used_temp_tokens')
op.drop_index(op.f('ix_used_temp_tokens_token_id'), table_name='used_temp_tokens')
op.drop_table('used_temp_tokens')
# Drop TFA verification rate limits table
op.drop_index(op.f('ix_tfa_verification_rate_limits_window_end'), table_name='tfa_verification_rate_limits')
op.drop_index(op.f('ix_tfa_verification_rate_limits_user_id'), table_name='tfa_verification_rate_limits')
op.drop_table('tfa_verification_rate_limits')
# Drop TFA fields from users table
op.drop_index(op.f('ix_users_tfa_required'), table_name='users')
op.drop_index(op.f('ix_users_tfa_enabled'), table_name='users')
op.drop_column('users', 'tfa_required')
op.drop_column('users', 'tfa_secret')
op.drop_column('users', 'tfa_enabled')

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"""Add TFA session fields to used_temp_tokens
Revision ID: 009_add_tfa_session_fields
Revises: 008_add_totp_2fa
Create Date: 2025-10-07
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '009_add_tfa_session_fields'
down_revision = '008_add_totp_2fa'
branch_labels = None
depends_on = None
def upgrade():
# Add TFA session fields to used_temp_tokens table
op.add_column('used_temp_tokens', sa.Column('user_email', sa.String(255), nullable=True))
op.add_column('used_temp_tokens', sa.Column('tfa_configured', sa.Boolean(), nullable=True))
op.add_column('used_temp_tokens', sa.Column('qr_code_uri', sa.Text(), nullable=True))
op.add_column('used_temp_tokens', sa.Column('manual_entry_key', sa.String(255), nullable=True))
op.add_column('used_temp_tokens', sa.Column('temp_token', sa.Text(), nullable=True))
op.add_column('used_temp_tokens', sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False))
# Modify used_at to be nullable (NULL until token is used)
op.alter_column('used_temp_tokens', 'used_at',
existing_type=sa.DateTime(timezone=True),
nullable=True,
existing_server_default=sa.func.now())
# Remove server default from used_at (manually set when used)
op.alter_column('used_temp_tokens', 'used_at', server_default=None)
def downgrade():
# Remove TFA session fields
op.drop_column('used_temp_tokens', 'created_at')
op.drop_column('used_temp_tokens', 'temp_token')
op.drop_column('used_temp_tokens', 'manual_entry_key')
op.drop_column('used_temp_tokens', 'qr_code_uri')
op.drop_column('used_temp_tokens', 'tfa_configured')
op.drop_column('used_temp_tokens', 'user_email')
# Restore used_at to non-nullable with server default
op.alter_column('used_temp_tokens', 'used_at',
existing_type=sa.DateTime(timezone=True),
nullable=False,
server_default=sa.func.now())

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"""Add system management tables (versions, updates, backups)
Revision ID: 010_add_system_management_tables
Revises: 009_add_tfa_session_fields
Create Date: 2025-11-25
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import JSON
# revision identifiers, used by Alembic.
revision = '010_add_system_management_tables'
down_revision = '009_add_tfa_session_fields'
branch_labels = None
depends_on = None
def upgrade():
# Create system_versions table
op.create_table(
'system_versions',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('uuid', sa.String(36), nullable=False),
sa.Column('version', sa.String(50), nullable=False),
sa.Column('installed_at', sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False),
sa.Column('installed_by', sa.String(255), nullable=True),
sa.Column('is_current', sa.Boolean(), nullable=False, default=True),
sa.Column('release_notes', sa.Text(), nullable=True),
sa.Column('git_commit', sa.String(40), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('uuid')
)
op.create_index('ix_system_versions_id', 'system_versions', ['id'])
op.create_index('ix_system_versions_version', 'system_versions', ['version'])
# Create update_jobs table
op.create_table(
'update_jobs',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('uuid', sa.String(36), nullable=False),
sa.Column('target_version', sa.String(50), nullable=False),
sa.Column('status', sa.Enum('pending', 'in_progress', 'completed', 'failed', 'rolled_back', name='updatestatus'), nullable=False),
sa.Column('started_at', sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False),
sa.Column('completed_at', sa.DateTime(timezone=True), nullable=True),
sa.Column('current_stage', sa.String(100), nullable=True),
sa.Column('logs', JSON, nullable=False, default=[]),
sa.Column('error_message', sa.Text(), nullable=True),
sa.Column('backup_id', sa.Integer(), nullable=True),
sa.Column('started_by', sa.String(255), nullable=True),
sa.Column('rollback_reason', sa.Text(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('uuid')
)
op.create_index('ix_update_jobs_id', 'update_jobs', ['id'])
op.create_index('ix_update_jobs_uuid', 'update_jobs', ['uuid'])
op.create_index('ix_update_jobs_status', 'update_jobs', ['status'])
# Create backup_records table
op.create_table(
'backup_records',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('uuid', sa.String(36), nullable=False),
sa.Column('backup_type', sa.Enum('manual', 'pre_update', 'scheduled', name='backuptype'), nullable=False),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False),
sa.Column('size_bytes', sa.BigInteger(), nullable=True),
sa.Column('location', sa.String(500), nullable=False),
sa.Column('version', sa.String(50), nullable=True),
sa.Column('components', JSON, nullable=False, default={}),
sa.Column('checksum', sa.String(64), nullable=True),
sa.Column('created_by', sa.String(255), nullable=True),
sa.Column('description', sa.Text(), nullable=True),
sa.Column('is_valid', sa.Boolean(), nullable=False, default=True),
sa.Column('expires_at', sa.DateTime(timezone=True), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('uuid')
)
op.create_index('ix_backup_records_id', 'backup_records', ['id'])
op.create_index('ix_backup_records_uuid', 'backup_records', ['uuid'])
# Insert initial system version (v2.0.31 as per current deployment)
op.execute("""
INSERT INTO system_versions (uuid, version, installed_by, is_current, installed_at)
VALUES (
'initial-version-uuid',
'v2.0.31',
'system',
true,
NOW()
)
""")
def downgrade():
# Drop tables
op.drop_table('backup_records')
op.drop_table('update_jobs')
op.drop_table('system_versions')
# Drop enum types
op.execute('DROP TYPE IF EXISTS updatestatus')
op.execute('DROP TYPE IF EXISTS backuptype')

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# API package

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"""
Internal API for service-to-service API key retrieval
"""
from fastapi import APIRouter, Depends, HTTPException, status, Header
from sqlalchemy.ext.asyncio import AsyncSession
from typing import Optional
from app.core.database import get_db
from app.services.api_key_service import APIKeyService
from app.core.config import settings
router = APIRouter(prefix="/internal/api-keys", tags=["Internal API Keys"])
async def verify_service_auth(
x_service_auth: str = Header(None),
x_service_name: str = Header(None)
) -> bool:
"""Verify service-to-service authentication"""
if not x_service_auth or not x_service_name:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Service authentication required"
)
# Verify service token (in production, use proper service mesh auth)
expected_token = settings.SERVICE_AUTH_TOKEN or "internal-service-token"
if x_service_auth != expected_token:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid service authentication"
)
# Verify service is allowed
allowed_services = ["resource-cluster", "tenant-backend"]
if x_service_name not in allowed_services:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=f"Service {x_service_name} not authorized"
)
return True
@router.get("/{tenant_identifier}/{provider}")
async def get_tenant_api_key(
tenant_identifier: str,
provider: str,
db: AsyncSession = Depends(get_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Internal endpoint for services to get decrypted tenant API keys.
tenant_identifier can be:
- Integer tenant_id (e.g., "1")
- Tenant domain (e.g., "test-company")
"""
from sqlalchemy import select
from app.models.tenant import Tenant
# Resolve tenant - check if it's numeric or domain
if tenant_identifier.isdigit():
tenant_id = int(tenant_identifier)
else:
# Look up by domain
result = await db.execute(
select(Tenant).where(Tenant.domain == tenant_identifier)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Tenant '{tenant_identifier}' not found"
)
tenant_id = tenant.id
service = APIKeyService(db)
try:
key_info = await service.get_decrypted_key(tenant_id, provider, require_enabled=True)
return {
"api_key": key_info["api_key"],
"api_secret": key_info.get("api_secret"),
"metadata": key_info.get("metadata", {})
}
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to retrieve API key: {str(e)}"
)

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"""
Internal API for service-to-service Optics settings retrieval
"""
from fastapi import APIRouter, Depends, HTTPException, status, Header, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, text
from typing import Optional
from app.core.database import get_db
from app.models.tenant import Tenant
from app.core.config import settings
router = APIRouter(prefix="/internal/optics", tags=["Internal Optics"])
async def verify_service_auth(
x_service_auth: str = Header(None),
x_service_name: str = Header(None)
) -> bool:
"""Verify service-to-service authentication"""
if not x_service_auth or not x_service_name:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Service authentication required"
)
# Verify service token (in production, use proper service mesh auth)
expected_token = settings.SERVICE_AUTH_TOKEN or "internal-service-token"
if x_service_auth != expected_token:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid service authentication"
)
# Verify service is allowed
allowed_services = ["resource-cluster", "tenant-backend"]
if x_service_name not in allowed_services:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=f"Service {x_service_name} not authorized"
)
return True
@router.get("/tenant/{tenant_domain}/settings")
async def get_tenant_optics_settings(
tenant_domain: str,
db: AsyncSession = Depends(get_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Internal endpoint for tenant backend to get Optics settings.
Returns:
- enabled: Whether Optics is enabled for this tenant
- storage_pricing: Storage cost rates per tier (in cents per MB per month)
- budget: Budget limits and thresholds
"""
# Query tenant by domain
result = await db.execute(
select(Tenant).where(Tenant.domain == tenant_domain)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Tenant not found: {tenant_domain}"
)
# Hot tier default: $0.15/GiB/month = ~0.0146 cents/MiB
HOT_TIER_DEFAULT_CENTS_PER_MIB = 0.146484375 # $0.15/GiB = $0.15/1024 per MiB * 100 cents
return {
"enabled": tenant.optics_enabled or False,
"storage_pricing": {
"dataset_hot": float(tenant.storage_price_dataset_hot) if tenant.storage_price_dataset_hot else HOT_TIER_DEFAULT_CENTS_PER_MIB,
"conversation_hot": float(tenant.storage_price_conversation_hot) if tenant.storage_price_conversation_hot else HOT_TIER_DEFAULT_CENTS_PER_MIB,
},
"cold_allocation": {
"allocated_tibs": float(tenant.cold_storage_allocated_tibs) if tenant.cold_storage_allocated_tibs else None,
"price_per_tib": float(tenant.cold_storage_price_per_tib) if tenant.cold_storage_price_per_tib else 10.00,
},
"budget": {
"monthly_budget_cents": tenant.monthly_budget_cents,
"warning_threshold": tenant.budget_warning_threshold or 80,
"critical_threshold": tenant.budget_critical_threshold or 90,
"enforcement_enabled": tenant.budget_enforcement_enabled or False
},
"tenant_id": tenant.id,
"tenant_name": tenant.name
}
@router.get("/model-pricing")
async def get_model_pricing(
db: AsyncSession = Depends(get_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Internal endpoint for tenant backend to get model pricing.
Returns all model pricing from model_configs table.
"""
from app.models.model_config import ModelConfig
result = await db.execute(
select(ModelConfig).where(ModelConfig.is_active == True)
)
models = result.scalars().all()
pricing = {}
for model in models:
pricing[model.model_id] = {
"name": model.name,
"provider": model.provider,
"cost_per_million_input": model.cost_per_million_input or 0.0,
"cost_per_million_output": model.cost_per_million_output or 0.0
}
return {
"models": pricing,
"default_pricing": {
"cost_per_million_input": 0.10,
"cost_per_million_output": 0.10
}
}
@router.get("/tenant/{tenant_domain}/embedding-usage")
async def get_tenant_embedding_usage(
tenant_domain: str,
start_date: str = Query(..., description="Start date (YYYY-MM-DD)"),
end_date: str = Query(..., description="End date (YYYY-MM-DD)"),
db: AsyncSession = Depends(get_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Internal endpoint for tenant backend to get embedding usage for billing.
Queries the embedding_usage_logs table for a tenant within a date range.
This enables Issue #241 - Embedding Model Pricing.
Args:
tenant_domain: Tenant domain (e.g., 'test-company')
start_date: Start date in YYYY-MM-DD format
end_date: End date in YYYY-MM-DD format
Returns:
{
"total_tokens": int,
"total_cost_cents": float,
"embedding_count": int,
"by_model": [{"model": str, "tokens": int, "cost_cents": float, "count": int}]
}
"""
from datetime import datetime, timedelta
try:
# Parse string dates to datetime objects for asyncpg
start_dt = datetime.strptime(start_date, "%Y-%m-%d")
end_dt = datetime.strptime(end_date, "%Y-%m-%d") + timedelta(days=1) # Include full end day
# Query embedding usage aggregated by model
query = text("""
SELECT
model,
COALESCE(SUM(tokens_used), 0) as total_tokens,
COALESCE(SUM(cost_cents), 0) as total_cost_cents,
COALESCE(SUM(embedding_count), 0) as embedding_count,
COUNT(*) as request_count
FROM public.embedding_usage_logs
WHERE tenant_id = :tenant_domain
AND timestamp >= :start_dt
AND timestamp <= :end_dt
GROUP BY model
ORDER BY total_cost_cents DESC
""")
result = await db.execute(
query,
{
"tenant_domain": tenant_domain,
"start_dt": start_dt,
"end_dt": end_dt
}
)
rows = result.fetchall()
# Aggregate results
total_tokens = 0
total_cost_cents = 0.0
total_embedding_count = 0
by_model = []
for row in rows:
model_data = {
"model": row.model or "unknown",
"tokens": int(row.total_tokens),
"cost_cents": float(row.total_cost_cents),
"count": int(row.embedding_count),
"requests": int(row.request_count)
}
by_model.append(model_data)
total_tokens += model_data["tokens"]
total_cost_cents += model_data["cost_cents"]
total_embedding_count += model_data["count"]
return {
"total_tokens": total_tokens,
"total_cost_cents": round(total_cost_cents, 4),
"embedding_count": total_embedding_count,
"by_model": by_model
}
except Exception as e:
# Log but return empty response on error (don't block billing)
import logging
logger = logging.getLogger(__name__)
logger.error(f"Error fetching embedding usage for {tenant_domain}: {e}")
return {
"total_tokens": 0,
"total_cost_cents": 0.0,
"embedding_count": 0,
"by_model": []
}

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"""
Internal API for service-to-service session validation
OWASP/NIST Compliant Session Management (Issue #264):
- Server-side session state is the authoritative source of truth
- Called by tenant-backend on every authenticated request
- Returns session status, warning signals, and expiry information
"""
from fastapi import APIRouter, Depends, HTTPException, status, Header
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session as SyncSession
from pydantic import BaseModel
from typing import Optional
from app.core.database import get_db, get_sync_db
from app.services.session_service import SessionService
from app.core.config import settings
router = APIRouter(prefix="/internal/sessions", tags=["Internal Sessions"])
async def verify_service_auth(
x_service_auth: str = Header(None),
x_service_name: str = Header(None)
) -> bool:
"""Verify service-to-service authentication"""
if not x_service_auth or not x_service_name:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Service authentication required"
)
# Verify service token (in production, use proper service mesh auth)
expected_token = settings.SERVICE_AUTH_TOKEN or "internal-service-token"
if x_service_auth != expected_token:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid service authentication"
)
# Verify service is allowed
allowed_services = ["resource-cluster", "tenant-backend"]
if x_service_name not in allowed_services:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=f"Service {x_service_name} not authorized"
)
return True
class SessionValidateRequest(BaseModel):
"""Request body for session validation"""
session_token: str
class SessionValidateResponse(BaseModel):
"""Response for session validation"""
is_valid: bool
expiry_reason: Optional[str] = None # 'idle' or 'absolute' if expired
seconds_remaining: Optional[int] = None # Seconds until expiry
show_warning: bool = False # True if < 5 minutes remaining
user_id: Optional[int] = None
tenant_id: Optional[int] = None
class SessionRevokeRequest(BaseModel):
"""Request body for session revocation"""
session_token: str
reason: str = "logout"
class SessionRevokeResponse(BaseModel):
"""Response for session revocation"""
success: bool
class SessionRevokeAllRequest(BaseModel):
"""Request body for revoking all user sessions"""
user_id: int
reason: str = "password_change"
class SessionRevokeAllResponse(BaseModel):
"""Response for revoking all user sessions"""
sessions_revoked: int
@router.post("/validate", response_model=SessionValidateResponse)
def validate_session(
request: SessionValidateRequest,
db: SyncSession = Depends(get_sync_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Validate a session and return status information.
Called by tenant-backend on every authenticated request.
Returns:
- is_valid: Whether the session is currently valid
- expiry_reason: 'idle' or 'absolute' if expired
- seconds_remaining: Time until expiry (min of idle and absolute)
- show_warning: True if warning should be shown (< 30 min until absolute timeout)
- user_id, tenant_id: Session context if valid
"""
session_service = SessionService(db)
is_valid, expiry_reason, seconds_remaining, session_info = session_service.validate_session(
request.session_token
)
# If valid, update activity timestamp
if is_valid:
session_service.update_activity(request.session_token)
# Warning is based on ABSOLUTE timeout only (not idle)
# because polling keeps idle from expiring when browser is open
show_warning = False
if is_valid and session_info:
absolute_seconds = session_info.get('absolute_seconds_remaining')
if absolute_seconds is not None:
show_warning = session_service.should_show_warning(absolute_seconds)
return SessionValidateResponse(
is_valid=is_valid,
expiry_reason=expiry_reason,
seconds_remaining=seconds_remaining,
show_warning=show_warning,
user_id=session_info.get('user_id') if session_info else None,
tenant_id=session_info.get('tenant_id') if session_info else None
)
@router.post("/revoke", response_model=SessionRevokeResponse)
def revoke_session(
request: SessionRevokeRequest,
db: SyncSession = Depends(get_sync_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Revoke a session (e.g., on logout).
Called by tenant-backend or control-panel-backend when user logs out.
"""
session_service = SessionService(db)
success = session_service.revoke_session(request.session_token, request.reason)
return SessionRevokeResponse(success=success)
@router.post("/revoke-all", response_model=SessionRevokeAllResponse)
def revoke_all_user_sessions(
request: SessionRevokeAllRequest,
db: SyncSession = Depends(get_sync_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Revoke all sessions for a user.
Called on password change, account lockout, etc.
"""
session_service = SessionService(db)
count = session_service.revoke_all_user_sessions(request.user_id, request.reason)
return SessionRevokeAllResponse(sessions_revoked=count)
@router.post("/cleanup")
def cleanup_expired_sessions(
db: SyncSession = Depends(get_sync_db),
authorized: bool = Depends(verify_service_auth)
):
"""
Clean up expired sessions.
This endpoint can be called by a scheduled task to mark expired sessions
as inactive. Not strictly required (validation does this anyway) but
helps keep the database clean.
"""
session_service = SessionService(db)
count = session_service.cleanup_expired_sessions()
return {"sessions_cleaned": count}

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"""
Public API endpoints (no authentication required)
Handles public-facing endpoints like tenant info for branding.
"""
from fastapi import APIRouter, Depends, HTTPException, status
from pydantic import BaseModel
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
from app.core.database import get_db
from app.models.tenant import Tenant
logger = structlog.get_logger()
router = APIRouter(tags=["public"])
# Pydantic models
class TenantInfoResponse(BaseModel):
name: str
domain: str
# API endpoints
@router.get("/tenant-info", response_model=TenantInfoResponse)
async def get_tenant_info(
tenant_domain: str,
db: AsyncSession = Depends(get_db)
):
"""
Get public tenant information for branding (no authentication required)
Used by tenant login page to display tenant name.
Fails fast if tenant name is not configured (no fallbacks).
Args:
tenant_domain: Tenant domain identifier (e.g., "test-company")
Returns:
Tenant name and domain
Raises:
HTTP 404: Tenant not found
HTTP 500: Tenant name not configured
"""
try:
# Query tenant by domain
stmt = select(Tenant).where(Tenant.domain == tenant_domain)
result = await db.execute(stmt)
tenant = result.scalar_one_or_none()
# Check if tenant exists
if not tenant:
logger.warning("Tenant not found", domain=tenant_domain)
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Tenant not found: {tenant_domain}"
)
# Validate tenant name exists (fail fast - no fallback)
if not tenant.name or not tenant.name.strip():
logger.error("Tenant name not configured", tenant_id=tenant.id, domain=tenant_domain)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Tenant configuration error: tenant name not set"
)
logger.info("Tenant info retrieved", domain=tenant_domain, name=tenant.name)
return TenantInfoResponse(
name=tenant.name,
domain=tenant.domain
)
except HTTPException:
raise
except Exception as e:
logger.error("Error retrieving tenant info", domain=tenant_domain, error=str(e))
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to retrieve tenant information"
)

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"""
Resource management API endpoints with HA support
"""
from datetime import datetime, timedelta
from typing import List, Optional, Dict, Any
from fastapi import APIRouter, Depends, HTTPException, Query, BackgroundTasks
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel, Field, validator
import logging
from app.core.database import get_db
from app.core.auth import get_current_user
from app.services.resource_service import ResourceService
from app.services.groq_service import groq_service
from app.models.ai_resource import AIResource
from app.models.user import User
def require_capability(user: User, resource: str, action: str) -> None:
"""Check if user has required capability for resource and action"""
# Super admin can do everything
if user.user_type == "super_admin":
return
# Check user capabilities
if not hasattr(user, 'capabilities') or not user.capabilities:
raise HTTPException(status_code=403, detail="No capabilities assigned")
# Parse capabilities from JSON if needed
capabilities = user.capabilities
if isinstance(capabilities, str):
import json
try:
capabilities = json.loads(capabilities)
except json.JSONDecodeError:
raise HTTPException(status_code=403, detail="Invalid capabilities format")
# Check for wildcard capability
for cap in capabilities:
if isinstance(cap, dict):
cap_resource = cap.get("resource", "")
cap_actions = cap.get("actions", [])
# Wildcard resource access
if cap_resource == "*" or cap_resource == resource:
if "*" in cap_actions or action in cap_actions:
return
# Pattern matching for resource IDs (e.g., "resource:123" matches "resource:*")
if ":" in resource and ":" in cap_resource:
cap_prefix = cap_resource.split(":")[0]
resource_prefix = resource.split(":")[0]
if cap_prefix == resource_prefix and cap_resource.endswith("*"):
if "*" in cap_actions or action in cap_actions:
return
raise HTTPException(
status_code=403,
detail=f"Insufficient permissions for {action} on {resource}"
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/resources", tags=["resources"])
# Pydantic models for request/response
class ResourceCreate(BaseModel):
name: str = Field(..., min_length=1, max_length=100, description="Resource name")
description: Optional[str] = Field(None, max_length=500, description="Resource description")
resource_type: str = Field(..., description="Resource family: ai_ml, rag_engine, agentic_workflow, app_integration, external_service, ai_literacy")
resource_subtype: Optional[str] = Field(None, description="Resource subtype within family (e.g., llm, vector_database, strategic_game)")
provider: str = Field(..., description="Provider: groq, openai, anthropic, custom, etc.")
model_name: Optional[str] = Field(None, description="Model identifier (required for AI/ML resources)")
personalization_mode: Optional[str] = Field("shared", description="Data separation mode: shared, user_scoped, session_based")
# Connection Configuration
primary_endpoint: Optional[str] = Field(None, description="Primary API endpoint")
api_endpoints: Optional[List[str]] = Field(default=[], description="List of API endpoints for HA")
failover_endpoints: Optional[List[str]] = Field(default=[], description="Failover endpoints")
health_check_url: Optional[str] = Field(None, description="Health check endpoint")
iframe_url: Optional[str] = Field(None, description="URL for iframe embedding (external services)")
# Performance and Limits
max_requests_per_minute: Optional[int] = Field(60, ge=1, le=10000, description="Rate limit")
max_tokens_per_request: Optional[int] = Field(4000, ge=1, le=100000, description="Token limit per request")
cost_per_1k_tokens: Optional[float] = Field(0.0, ge=0.0, description="Cost per 1K tokens in dollars")
latency_sla_ms: Optional[int] = Field(5000, ge=100, le=60000, description="Latency SLA in milliseconds")
priority: Optional[int] = Field(100, ge=1, le=1000, description="Load balancing priority")
# Configuration
configuration: Optional[Dict[str, Any]] = Field(default={}, description="Resource-specific configuration")
sandbox_config: Optional[Dict[str, Any]] = Field(default={}, description="Security sandbox configuration")
auth_config: Optional[Dict[str, Any]] = Field(default={}, description="Authentication configuration")
@validator('resource_type')
def validate_resource_type(cls, v):
allowed_types = ['ai_ml', 'rag_engine', 'agentic_workflow', 'app_integration', 'external_service', 'ai_literacy']
if v not in allowed_types:
raise ValueError(f'Resource type must be one of: {allowed_types}')
return v
@validator('personalization_mode')
def validate_personalization_mode(cls, v):
allowed_modes = ['shared', 'user_scoped', 'session_based']
if v not in allowed_modes:
raise ValueError(f'Personalization mode must be one of: {allowed_modes}')
return v
@validator('provider')
def validate_provider(cls, v):
allowed_providers = ['groq', 'openai', 'anthropic', 'cohere', 'local', 'canvas', 'ctfd', 'guacamole', 'custom']
if v not in allowed_providers:
raise ValueError(f'Provider must be one of: {allowed_providers}')
return v
class ResourceUpdate(BaseModel):
name: Optional[str] = Field(None, min_length=1, max_length=100)
description: Optional[str] = Field(None, max_length=500)
resource_subtype: Optional[str] = None
personalization_mode: Optional[str] = Field(None, description="Data separation mode: shared, user_scoped, session_based")
# Connection Configuration
primary_endpoint: Optional[str] = None
api_endpoints: Optional[List[str]] = None
failover_endpoints: Optional[List[str]] = None
health_check_url: Optional[str] = None
iframe_url: Optional[str] = None
# Performance and Limits
max_requests_per_minute: Optional[int] = Field(None, ge=1, le=10000)
max_tokens_per_request: Optional[int] = Field(None, ge=1, le=100000)
cost_per_1k_tokens: Optional[float] = Field(None, ge=0.0)
latency_sla_ms: Optional[int] = Field(None, ge=100, le=60000)
priority: Optional[int] = Field(None, ge=1, le=1000)
# Configuration
configuration: Optional[Dict[str, Any]] = None
sandbox_config: Optional[Dict[str, Any]] = None
auth_config: Optional[Dict[str, Any]] = None
is_active: Optional[bool] = None
class ResourceResponse(BaseModel):
id: int
uuid: str
name: str
description: Optional[str]
resource_type: str
resource_subtype: Optional[str]
provider: str
model_name: Optional[str]
personalization_mode: str
# Connection Configuration
primary_endpoint: Optional[str]
health_check_url: Optional[str]
iframe_url: Optional[str]
# Configuration
configuration: Dict[str, Any]
sandbox_config: Dict[str, Any]
auth_config: Dict[str, Any]
# Performance and Status
max_requests_per_minute: int
max_tokens_per_request: int
cost_per_1k_tokens: float
latency_sla_ms: int
health_status: str
last_health_check: Optional[datetime]
is_active: bool
priority: int
# Timestamps
created_at: datetime
updated_at: datetime
class TenantAssignment(BaseModel):
tenant_id: int = Field(..., description="Tenant ID to assign resource to")
usage_limits: Optional[Dict[str, Any]] = Field(default={}, description="Usage limits for this tenant")
class UsageStatsResponse(BaseModel):
resource_id: int
period: Dict[str, str]
summary: Dict[str, Any]
daily_stats: Dict[str, Dict[str, Any]]
class HealthCheckResponse(BaseModel):
total_resources: int
healthy: int
unhealthy: int
unknown: int
details: List[Dict[str, Any]]
# API Endpoints
@router.post("/", response_model=ResourceResponse, status_code=201)
async def create_resource(
resource_data: ResourceCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Create a new AI resource"""
# Check permissions
require_capability(current_user, "resource:*", "write")
try:
service = ResourceService(db)
resource = await service.create_resource(resource_data.dict(exclude_unset=True))
return ResourceResponse(**resource.to_dict())
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error(f"Failed to create resource: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/", response_model=List[ResourceResponse])
async def list_resources(
provider: Optional[str] = Query(None, description="Filter by provider"),
resource_type: Optional[str] = Query(None, description="Filter by resource type"),
is_active: Optional[bool] = Query(None, description="Filter by active status"),
health_status: Optional[str] = Query(None, description="Filter by health status"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""List all AI resources with optional filtering"""
# Check permissions
require_capability(current_user, "resource:*", "read")
try:
service = ResourceService(db)
resources = await service.list_resources(
provider=provider,
resource_type=resource_type,
is_active=is_active,
health_status=health_status
)
return [ResourceResponse(**resource.to_dict()) for resource in resources]
except Exception as e:
logger.error(f"Failed to list resources: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/{resource_id}", response_model=ResourceResponse)
async def get_resource(
resource_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get a specific AI resource by ID"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "read")
try:
service = ResourceService(db)
resource = await service.get_resource(resource_id)
if not resource:
raise HTTPException(status_code=404, detail="Resource not found")
return ResourceResponse(**resource.to_dict())
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to get resource {resource_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.put("/{resource_id}", response_model=ResourceResponse)
async def update_resource(
resource_id: int,
updates: ResourceUpdate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Update an AI resource"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "write")
try:
service = ResourceService(db)
resource = await service.update_resource(resource_id, updates.dict(exclude_unset=True))
if not resource:
raise HTTPException(status_code=404, detail="Resource not found")
return ResourceResponse(**resource.to_dict())
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to update resource {resource_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.delete("/{resource_id}", status_code=204)
async def delete_resource(
resource_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Delete an AI resource (soft delete)"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "admin")
try:
service = ResourceService(db)
success = await service.delete_resource(resource_id)
if not success:
raise HTTPException(status_code=404, detail="Resource not found")
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to delete resource {resource_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.post("/{resource_id}/assign", status_code=201)
async def assign_resource_to_tenant(
resource_id: int,
assignment: TenantAssignment,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Assign a resource to a tenant"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "admin")
require_capability(current_user, f"tenant:{assignment.tenant_id}", "write")
try:
service = ResourceService(db)
tenant_resource = await service.assign_resource_to_tenant(
resource_id, assignment.tenant_id, assignment.usage_limits
)
return {"message": "Resource assigned successfully", "assignment_id": tenant_resource.id}
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error(f"Failed to assign resource {resource_id} to tenant {assignment.tenant_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.delete("/{resource_id}/assign/{tenant_id}", status_code=204)
async def unassign_resource_from_tenant(
resource_id: int,
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Remove resource assignment from tenant"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "admin")
require_capability(current_user, f"tenant:{tenant_id}", "write")
try:
service = ResourceService(db)
success = await service.unassign_resource_from_tenant(resource_id, tenant_id)
if not success:
raise HTTPException(status_code=404, detail="Assignment not found")
except Exception as e:
logger.error(f"Failed to unassign resource {resource_id} from tenant {tenant_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/{resource_id}/usage", response_model=UsageStatsResponse)
async def get_resource_usage_stats(
resource_id: int,
start_date: Optional[datetime] = Query(None, description="Start date for statistics"),
end_date: Optional[datetime] = Query(None, description="End date for statistics"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get usage statistics for a resource"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "read")
try:
service = ResourceService(db)
stats = await service.get_resource_usage_stats(resource_id, start_date, end_date)
return UsageStatsResponse(**stats)
except Exception as e:
logger.error(f"Failed to get usage stats for resource {resource_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.post("/health-check", response_model=HealthCheckResponse)
async def health_check_all_resources(
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Perform health checks on all active resources"""
# Check permissions
require_capability(current_user, "resource:*", "read")
try:
service = ResourceService(db)
# Run health checks in background for better performance
results = await service.health_check_all_resources()
return HealthCheckResponse(**results)
except Exception as e:
logger.error(f"Failed to perform health checks: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/{resource_id}/health", status_code=200)
async def health_check_resource(
resource_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Perform health check on a specific resource"""
# Check permissions
require_capability(current_user, f"resource:{resource_id}", "read")
try:
service = ResourceService(db)
resource = await service.get_resource(resource_id)
if not resource:
raise HTTPException(status_code=404, detail="Resource not found")
# Decrypt API key for health check
api_key = await service._decrypt_api_key(resource.api_key_encrypted, resource.tenant_id)
is_healthy = await service._health_check_resource(resource, api_key)
return {
"resource_id": resource_id,
"health_status": resource.health_status,
"is_healthy": is_healthy,
"last_check": resource.last_health_check.isoformat() if resource.last_health_check else None
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to health check resource {resource_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/tenant/{tenant_id}", response_model=List[ResourceResponse])
async def get_tenant_resources(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get all resources assigned to a specific tenant"""
# Check permissions
require_capability(current_user, f"tenant:{tenant_id}", "read")
try:
service = ResourceService(db)
resources = await service.get_tenant_resources(tenant_id)
return [ResourceResponse(**resource.to_dict()) for resource in resources]
except Exception as e:
logger.error(f"Failed to get resources for tenant {tenant_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/tenant/{tenant_id}/usage", response_model=Dict[str, Any])
async def get_tenant_usage_stats(
tenant_id: int,
start_date: Optional[datetime] = Query(None, description="Start date for statistics"),
end_date: Optional[datetime] = Query(None, description="End date for statistics"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get usage statistics for all resources used by a tenant"""
# Check permissions
require_capability(current_user, f"tenant:{tenant_id}", "read")
try:
service = ResourceService(db)
stats = await service.get_tenant_usage_stats(tenant_id, start_date, end_date)
return stats
except Exception as e:
logger.error(f"Failed to get usage stats for tenant {tenant_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
# New comprehensive resource management endpoints
@router.get("/families/summary", response_model=Dict[str, Any])
async def get_resource_families_summary(
tenant_id: Optional[int] = Query(None, description="Filter by tenant ID"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get summary of all resource families with counts and health status"""
# Check permissions
if tenant_id:
require_capability(current_user, f"tenant:{tenant_id}", "read")
else:
require_capability(current_user, "resource:*", "read")
try:
service = ResourceService(db)
summary = await service.get_resource_families_summary(tenant_id)
return summary
except Exception as e:
logger.error(f"Failed to get resource families summary: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/family/{resource_type}", response_model=List[ResourceResponse])
async def list_resources_by_family(
resource_type: str,
resource_subtype: Optional[str] = Query(None, description="Filter by resource subtype"),
tenant_id: Optional[int] = Query(None, description="Filter by tenant ID"),
include_inactive: Optional[bool] = Query(False, description="Include inactive resources"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""List resources by resource family with optional filtering"""
# Check permissions
if tenant_id:
require_capability(current_user, f"tenant:{tenant_id}", "read")
else:
require_capability(current_user, "resource:*", "read")
try:
service = ResourceService(db)
resources = await service.list_resources_by_family(
resource_type=resource_type,
resource_subtype=resource_subtype,
tenant_id=tenant_id,
include_inactive=include_inactive
)
return [ResourceResponse(**resource.to_dict()) for resource in resources]
except Exception as e:
logger.error(f"Failed to list resources for family {resource_type}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/user/{user_id}/data/{resource_id}", response_model=Dict[str, Any])
async def get_user_resource_data(
user_id: int,
resource_id: int,
data_type: str = Query(..., description="Type of data to retrieve"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get user-specific data for a resource"""
# Check permissions - user can access their own data or admin can access any user's data
if current_user.id != user_id:
require_capability(current_user, f"user:{user_id}", "read")
try:
service = ResourceService(db)
user_data = await service.get_user_resource_data(user_id, resource_id, data_type)
if not user_data:
raise HTTPException(status_code=404, detail="User resource data not found")
return user_data.to_dict()
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to get user resource data: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.post("/user/{user_id}/data/{resource_id}", status_code=201)
async def set_user_resource_data(
user_id: int,
resource_id: int,
data_type: str = Query(..., description="Type of data to store"),
data_key: str = Query(..., description="Key identifier for the data"),
data_value: Dict[str, Any] = ...,
expires_minutes: Optional[int] = Query(None, description="Expiry time in minutes for session data"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Set user-specific data for a resource"""
# Check permissions - user can set their own data or admin can set any user's data
if current_user.id != user_id:
require_capability(current_user, f"user:{user_id}", "write")
try:
service = ResourceService(db)
user_data = await service.set_user_resource_data(
user_id=user_id,
tenant_id=current_user.tenant_id,
resource_id=resource_id,
data_type=data_type,
data_key=data_key,
data_value=data_value,
expires_minutes=expires_minutes
)
return {"message": "User resource data saved", "data_id": user_data.id}
except Exception as e:
logger.error(f"Failed to set user resource data: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/user/{user_id}/progress/{resource_id}", response_model=Dict[str, Any])
async def get_user_progress(
user_id: int,
resource_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get user progress for AI literacy and learning resources"""
# Check permissions
if current_user.id != user_id:
require_capability(current_user, f"user:{user_id}", "read")
try:
service = ResourceService(db)
progress = await service.get_user_progress(user_id, resource_id)
if not progress:
raise HTTPException(status_code=404, detail="User progress not found")
return progress.to_dict()
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to get user progress: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.post("/user/{user_id}/progress/{resource_id}", status_code=201)
async def update_user_progress(
user_id: int,
resource_id: int,
skill_area: str = Query(..., description="Skill area being tracked"),
progress_data: Dict[str, Any] = ...,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Update user progress for learning resources"""
# Check permissions
if current_user.id != user_id:
require_capability(current_user, f"user:{user_id}", "write")
try:
service = ResourceService(db)
progress = await service.update_user_progress(
user_id=user_id,
tenant_id=current_user.tenant_id,
resource_id=resource_id,
skill_area=skill_area,
progress_data=progress_data
)
return {"message": "User progress updated", "progress_id": progress.id}
except Exception as e:
logger.error(f"Failed to update user progress: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.get("/subtypes", response_model=Dict[str, List[str]])
async def get_resource_subtypes(
current_user: User = Depends(get_current_user)
):
"""Get available subtypes for each resource family"""
require_capability(current_user, "resource:*", "read")
subtypes = {
"ai_ml": ["llm", "embedding", "image_generation", "function_calling"],
"rag_engine": ["vector_database", "document_processor", "retrieval_system"],
"agentic_workflow": ["workflow", "agent_framework", "multi_agent"],
"app_integration": ["api", "webhook", "oauth_app", "custom"],
"external_service": ["lms", "cyber_range", "iframe", "custom"],
"ai_literacy": ["strategic_game", "logic_puzzle", "philosophical_dilemma", "educational_content"]
}
return subtypes
@router.get("/config-schema", response_model=Dict[str, Any])
async def get_resource_config_schema(
resource_type: str = Query(..., description="Resource family type"),
resource_subtype: str = Query(..., description="Resource subtype"),
current_user: User = Depends(get_current_user)
):
"""Get configuration schema for a specific resource type and subtype"""
require_capability(current_user, "resource:*", "read")
try:
from app.models.resource_schemas import get_config_schema
schema = get_config_schema(resource_type, resource_subtype)
return schema.schema()
except Exception as e:
logger.error(f"Failed to get config schema: {e}")
raise HTTPException(status_code=400, detail=f"Invalid resource type or subtype: {e}")
@router.post("/validate-config", response_model=Dict[str, Any])
async def validate_resource_config(
resource_type: str = Query(..., description="Resource family type"),
resource_subtype: str = Query(..., description="Resource subtype"),
config_data: Dict[str, Any] = ...,
current_user: User = Depends(get_current_user)
):
"""Validate resource configuration against schema"""
require_capability(current_user, "resource:*", "write")
try:
from app.models.resource_schemas import validate_resource_config
validated_config = validate_resource_config(resource_type, resource_subtype, config_data)
return {
"valid": True,
"validated_config": validated_config,
"message": "Configuration is valid"
}
except Exception as e:
logger.error(f"Failed to validate resource config: {e}")
return {
"valid": False,
"errors": "Configuration validation failed",
"message": "Configuration validation failed"
}

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apps/control-panel-backend/app/api/tenants.py Normal file
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"""
Tenant management API endpoints
"""
from datetime import datetime
from typing import List, Optional, Dict, Any
from fastapi import APIRouter, Depends, HTTPException, Query, BackgroundTasks, status
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func, or_
from pydantic import BaseModel, Field, validator
import logging
import uuid
from app.core.database import get_db
from app.core.auth import JWTHandler, get_current_user
from app.models.tenant import Tenant
from app.models.user import User
from app.services.model_management_service import get_model_management_service
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/tenants", tags=["tenants"])
# Pydantic models
class TenantCreate(BaseModel):
name: str = Field(..., min_length=1, max_length=100)
domain: str = Field(..., min_length=1, max_length=50)
template: str = Field(default="standard")
max_users: int = Field(default=100, ge=1, le=10000)
resource_limits: Optional[Dict[str, Any]] = Field(default_factory=dict)
frontend_url: Optional[str] = Field(None, max_length=255, description="Frontend URL for password reset emails (e.g., https://app.company.com)")
@validator('domain')
def validate_domain(cls, v):
# Only allow alphanumeric and hyphens
import re
if not re.match(r'^[a-z0-9-]+$', v):
raise ValueError('Domain must contain only lowercase letters, numbers, and hyphens')
return v
@validator('frontend_url')
def validate_frontend_url(cls, v):
if v is not None and v.strip():
import re
# Basic URL validation
if not re.match(r'^https?://.+', v):
raise ValueError('Frontend URL must start with http:// or https://')
return v
class TenantUpdate(BaseModel):
name: Optional[str] = Field(None, min_length=1, max_length=100)
max_users: Optional[int] = Field(None, ge=1, le=10000)
resource_limits: Optional[Dict[str, Any]] = None
status: Optional[str] = Field(None, pattern="^(active|suspended|pending|archived)$")
frontend_url: Optional[str] = Field(None, max_length=255, description="Frontend URL for password reset emails")
# Budget configuration
monthly_budget_cents: Optional[int] = Field(None, description="Monthly budget in cents (NULL = unlimited)")
budget_warning_threshold: Optional[int] = Field(None, ge=1, le=100, description="Warning threshold percentage (1-100)")
budget_critical_threshold: Optional[int] = Field(None, ge=1, le=100, description="Critical threshold percentage (1-100)")
budget_enforcement_enabled: Optional[bool] = Field(None, description="Enable budget enforcement")
# Hot tier storage pricing (NULL = use default $0.15/GiB/month)
storage_price_dataset_hot: Optional[float] = Field(None, description="Dataset hot storage price per GiB/month")
storage_price_conversation_hot: Optional[float] = Field(None, description="Conversation hot storage price per GiB/month")
# Cold tier: Allocation-based model
cold_storage_allocated_tibs: Optional[float] = Field(None, description="Cold storage allocation in TiBs")
cold_storage_price_per_tib: Optional[float] = Field(None, description="Cold storage price per TiB/month (default: $10)")
@validator('frontend_url')
def validate_frontend_url(cls, v):
if v is not None and v.strip():
import re
if not re.match(r'^https?://.+', v):
raise ValueError('Frontend URL must start with http:// or https://')
return v
class TenantResponse(BaseModel):
id: int
uuid: str
name: str
domain: str
template: str
status: str
max_users: int
resource_limits: Dict[str, Any]
namespace: str
frontend_url: Optional[str] = None
created_at: datetime
updated_at: datetime
user_count: Optional[int] = 0
# Budget configuration
monthly_budget_cents: Optional[int] = None
budget_warning_threshold: Optional[int] = None
budget_critical_threshold: Optional[int] = None
budget_enforcement_enabled: Optional[bool] = None
# Hot tier storage pricing
storage_price_dataset_hot: Optional[float] = None
storage_price_conversation_hot: Optional[float] = None
# Cold tier allocation
cold_storage_allocated_tibs: Optional[float] = None
cold_storage_price_per_tib: Optional[float] = None
class Config:
from_attributes = True
class TenantListResponse(BaseModel):
tenants: List[TenantResponse]
total: int
page: int
limit: int
@router.get("/", response_model=TenantListResponse)
async def list_tenants(
page: int = Query(1, ge=1),
limit: int = Query(20, ge=1, le=100),
search: Optional[str] = None,
status: Optional[str] = None,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""List all tenants with pagination and filtering"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Build query
query = select(Tenant)
# Apply filters
if search:
query = query.where(
or_(
Tenant.name.ilike(f"%{search}%"),
Tenant.domain.ilike(f"%{search}%")
)
)
if status:
query = query.where(Tenant.status == status)
# Get total count
count_query = select(func.count()).select_from(Tenant)
if search:
count_query = count_query.where(
or_(
Tenant.name.ilike(f"%{search}%"),
Tenant.domain.ilike(f"%{search}%")
)
)
if status:
count_query = count_query.where(Tenant.status == status)
total_result = await db.execute(count_query)
total = total_result.scalar() or 0
# Apply pagination
offset = (page - 1) * limit
query = query.offset(offset).limit(limit).order_by(Tenant.created_at.desc())
# Execute query
result = await db.execute(query)
tenants = result.scalars().all()
# Get user counts for each tenant
tenant_responses = []
for tenant in tenants:
user_count_query = select(func.count()).select_from(User).where(User.tenant_id == tenant.id)
user_count_result = await db.execute(user_count_query)
user_count = user_count_result.scalar() or 0
tenant_dict = {
"id": tenant.id,
"uuid": tenant.uuid,
"name": tenant.name,
"domain": tenant.domain,
"template": tenant.template,
"status": tenant.status,
"max_users": tenant.max_users,
"resource_limits": tenant.resource_limits or {},
"namespace": tenant.namespace,
"frontend_url": tenant.frontend_url,
"created_at": tenant.created_at,
"updated_at": tenant.updated_at,
"user_count": user_count,
# Budget configuration
"monthly_budget_cents": tenant.monthly_budget_cents,
"budget_warning_threshold": tenant.budget_warning_threshold,
"budget_critical_threshold": tenant.budget_critical_threshold,
"budget_enforcement_enabled": tenant.budget_enforcement_enabled,
# Hot tier storage pricing
"storage_price_dataset_hot": float(tenant.storage_price_dataset_hot) if tenant.storage_price_dataset_hot else None,
"storage_price_conversation_hot": float(tenant.storage_price_conversation_hot) if tenant.storage_price_conversation_hot else None,
# Cold tier allocation
"cold_storage_allocated_tibs": float(tenant.cold_storage_allocated_tibs) if tenant.cold_storage_allocated_tibs else None,
"cold_storage_price_per_tib": float(tenant.cold_storage_price_per_tib) if tenant.cold_storage_price_per_tib else 10.00,
}
tenant_responses.append(TenantResponse(**tenant_dict))
return TenantListResponse(
tenants=tenant_responses,
total=total,
page=page,
limit=limit
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error listing tenants: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to list tenants"
)
@router.get("/{tenant_id}", response_model=TenantResponse)
async def get_tenant(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get a specific tenant by ID"""
try:
# Check permissions
if current_user.user_type != "super_admin":
# Regular users can only view their own tenant
if current_user.tenant_id != tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Get tenant
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
# Get user count
user_count_query = select(func.count()).select_from(User).where(User.tenant_id == tenant.id)
user_count_result = await db.execute(user_count_query)
user_count = user_count_result.scalar() or 0
return TenantResponse(
id=tenant.id,
uuid=tenant.uuid,
name=tenant.name,
domain=tenant.domain,
template=tenant.template,
status=tenant.status,
max_users=tenant.max_users,
resource_limits=tenant.resource_limits or {},
namespace=tenant.namespace,
created_at=tenant.created_at,
updated_at=tenant.updated_at,
user_count=user_count,
# Budget configuration
monthly_budget_cents=tenant.monthly_budget_cents,
budget_warning_threshold=tenant.budget_warning_threshold,
budget_critical_threshold=tenant.budget_critical_threshold,
budget_enforcement_enabled=tenant.budget_enforcement_enabled,
# Hot tier storage pricing
storage_price_dataset_hot=float(tenant.storage_price_dataset_hot) if tenant.storage_price_dataset_hot else None,
storage_price_conversation_hot=float(tenant.storage_price_conversation_hot) if tenant.storage_price_conversation_hot else None,
# Cold tier allocation
cold_storage_allocated_tibs=float(tenant.cold_storage_allocated_tibs) if tenant.cold_storage_allocated_tibs else None,
cold_storage_price_per_tib=float(tenant.cold_storage_price_per_tib) if tenant.cold_storage_price_per_tib else 10.00,
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error getting tenant {tenant_id}: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to get tenant"
)
@router.post("/", response_model=TenantResponse, status_code=status.HTTP_201_CREATED)
async def create_tenant(
tenant_data: TenantCreate,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Create a new tenant"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Check if domain already exists
existing = await db.execute(
select(Tenant).where(Tenant.domain == tenant_data.domain)
)
if existing.scalar_one_or_none():
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Domain already exists"
)
# Create tenant
tenant = Tenant(
uuid=str(uuid.uuid4()),
name=tenant_data.name,
domain=tenant_data.domain,
template=tenant_data.template,
status="pending",
max_users=tenant_data.max_users,
resource_limits=tenant_data.resource_limits or {},
namespace=f"gt-{tenant_data.domain}",
subdomain=tenant_data.domain # Set subdomain to match domain
)
db.add(tenant)
await db.commit()
await db.refresh(tenant)
# Auto-assign all active models to this new tenant
model_service = get_model_management_service(db)
assigned_count = await model_service.auto_assign_all_models_to_tenant(tenant.id)
logger.info(f"Auto-assigned {assigned_count} models to new tenant {tenant.domain}")
# Add background task to deploy tenant infrastructure
from app.services.tenant_provisioning import deploy_tenant_infrastructure
background_tasks.add_task(deploy_tenant_infrastructure, tenant.id)
return TenantResponse(
id=tenant.id,
uuid=tenant.uuid,
name=tenant.name,
domain=tenant.domain,
template=tenant.template,
status=tenant.status,
max_users=tenant.max_users,
resource_limits=tenant.resource_limits,
namespace=tenant.namespace,
created_at=tenant.created_at,
updated_at=tenant.updated_at,
user_count=0
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error creating tenant: {str(e)}")
await db.rollback()
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to create tenant"
)
@router.put("/{tenant_id}", response_model=TenantResponse)
async def update_tenant(
tenant_id: int,
tenant_update: TenantUpdate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Update a tenant"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Get tenant
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
# Update fields
update_data = tenant_update.dict(exclude_unset=True)
for field, value in update_data.items():
setattr(tenant, field, value)
tenant.updated_at = datetime.utcnow()
await db.commit()
await db.refresh(tenant)
# Get user count
user_count_query = select(func.count()).select_from(User).where(User.tenant_id == tenant.id)
user_count_result = await db.execute(user_count_query)
user_count = user_count_result.scalar() or 0
return TenantResponse(
id=tenant.id,
uuid=tenant.uuid,
name=tenant.name,
domain=tenant.domain,
template=tenant.template,
status=tenant.status,
max_users=tenant.max_users,
resource_limits=tenant.resource_limits,
namespace=tenant.namespace,
created_at=tenant.created_at,
updated_at=tenant.updated_at,
user_count=user_count,
# Budget configuration
monthly_budget_cents=tenant.monthly_budget_cents,
budget_warning_threshold=tenant.budget_warning_threshold,
budget_critical_threshold=tenant.budget_critical_threshold,
budget_enforcement_enabled=tenant.budget_enforcement_enabled,
# Hot tier storage pricing
storage_price_dataset_hot=float(tenant.storage_price_dataset_hot) if tenant.storage_price_dataset_hot else None,
storage_price_conversation_hot=float(tenant.storage_price_conversation_hot) if tenant.storage_price_conversation_hot else None,
# Cold tier allocation
cold_storage_allocated_tibs=float(tenant.cold_storage_allocated_tibs) if tenant.cold_storage_allocated_tibs else None,
cold_storage_price_per_tib=float(tenant.cold_storage_price_per_tib) if tenant.cold_storage_price_per_tib else 10.00,
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error updating tenant {tenant_id}: {str(e)}")
await db.rollback()
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to update tenant"
)
@router.delete("/{tenant_id}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_tenant(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Delete (archive) a tenant"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only super admins can delete tenants"
)
# Get tenant
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
# Archive instead of hard delete
tenant.status = "archived"
tenant.deleted_at = datetime.utcnow()
await db.commit()
except HTTPException:
raise
except Exception as e:
logger.error(f"Error deleting tenant {tenant_id}: {str(e)}")
await db.rollback()
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to delete tenant"
)
@router.post("/{tenant_id}/deploy", status_code=status.HTTP_202_ACCEPTED)
async def deploy_tenant(
tenant_id: int,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Deploy tenant infrastructure"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Get tenant
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
# Update status
tenant.status = "deploying"
await db.commit()
# Add background task to deploy infrastructure
from app.services.tenant_provisioning import deploy_tenant_infrastructure
background_tasks.add_task(deploy_tenant_infrastructure, tenant_id)
return {"message": "Deployment initiated", "tenant_id": tenant_id}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error deploying tenant {tenant_id}: {str(e)}")
await db.rollback()
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to deploy tenant"
)
# Optics Feature Toggle
class OpticsToggleRequest(BaseModel):
enabled: bool = Field(..., description="Whether to enable Optics cost tracking")
class OpticsToggleResponse(BaseModel):
tenant_id: int
domain: str
optics_enabled: bool
message: str
@router.put("/{tenant_id}/optics", response_model=OpticsToggleResponse)
async def toggle_optics(
tenant_id: int,
request: OpticsToggleRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Toggle Optics cost tracking for a tenant.
When enabled, the Optics tab will appear in the tenant's observability dashboard
showing inference costs and storage costs.
"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Get tenant
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
# Update optics_enabled
tenant.optics_enabled = request.enabled
tenant.updated_at = datetime.utcnow()
await db.commit()
await db.refresh(tenant)
action = "enabled" if request.enabled else "disabled"
logger.info(f"Optics {action} for tenant {tenant.domain} by {current_user.email}")
return OpticsToggleResponse(
tenant_id=tenant.id,
domain=tenant.domain,
optics_enabled=tenant.optics_enabled,
message=f"Optics cost tracking {action} for {tenant.name}"
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error toggling optics for tenant {tenant_id}: {str(e)}")
await db.rollback()
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to toggle optics setting"
)
@router.get("/{tenant_id}/optics")
async def get_optics_status(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get current Optics status for a tenant"""
try:
# Require super_admin only
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Get tenant
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
return {
"tenant_id": tenant.id,
"domain": tenant.domain,
"optics_enabled": tenant.optics_enabled or False
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error getting optics status for tenant {tenant_id}: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to get optics status"
)

478
apps/control-panel-backend/app/api/tenants_cbrest.py Normal file
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"""
Tenant management API endpoints - CB-REST Standard Implementation
This is the updated version using the GT 2.0 Capability-Based REST standard
"""
from datetime import datetime
from typing import List, Optional, Dict, Any
from fastapi import APIRouter, Depends, Query, BackgroundTasks, Request, status
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func, or_
from pydantic import BaseModel, Field, validator
import logging
import uuid
from app.core.database import get_db
from app.core.api_standards import (
format_response,
format_error,
require_capability,
ErrorCode,
APIError,
CapabilityToken
)
from app.models.tenant import Tenant
from app.models.user import User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/tenants", tags=["tenants"])
# Pydantic models remain the same
class TenantCreate(BaseModel):
name: str = Field(..., min_length=1, max_length=100)
domain: str = Field(..., min_length=1, max_length=50)
template: str = Field(default="standard")
max_users: int = Field(default=100, ge=1, le=10000)
resource_limits: Optional[Dict[str, Any]] = Field(default_factory=dict)
@validator('domain')
def validate_domain(cls, v):
import re
if not re.match(r'^[a-z0-9-]+$', v):
raise ValueError('Domain must contain only lowercase letters, numbers, and hyphens')
return v
class TenantUpdate(BaseModel):
name: Optional[str] = Field(None, min_length=1, max_length=100)
max_users: Optional[int] = Field(None, ge=1, le=10000)
resource_limits: Optional[Dict[str, Any]] = None
status: Optional[str] = Field(None, pattern="^(active|suspended|pending|archived)$")
class TenantResponse(BaseModel):
id: int
uuid: str
name: str
domain: str
template: str
status: str
max_users: int
resource_limits: Dict[str, Any]
namespace: str
created_at: datetime
updated_at: datetime
user_count: Optional[int] = 0
class Config:
from_attributes = True
@router.get("/")
async def list_tenants(
request: Request,
page: int = Query(1, ge=1),
limit: int = Query(20, ge=1, le=100),
search: Optional[str] = None,
status: Optional[str] = None,
db: AsyncSession = Depends(get_db),
capability: CapabilityToken = Depends(require_capability("tenant", "*", "read"))
):
"""
List all tenants with pagination and filtering
CB-REST: Returns standardized response with capability audit trail
"""
try:
# Build query
query = select(Tenant)
# Apply filters
if search:
query = query.where(
or_(
Tenant.name.ilike(f"%{search}%"),
Tenant.domain.ilike(f"%{search}%")
)
)
if status:
query = query.where(Tenant.status == status)
# Get total count
count_query = select(func.count()).select_from(query.subquery())
total_result = await db.execute(count_query)
total = total_result.scalar()
# Apply pagination
query = query.offset((page - 1) * limit).limit(limit)
# Execute query
result = await db.execute(query)
tenants = result.scalars().all()
# Format response data
response_data = {
"tenants": [TenantResponse.from_orm(t).dict() for t in tenants],
"total": total,
"page": page,
"limit": limit
}
# Return CB-REST formatted response
return format_response(
data=response_data,
capability_used=f"tenant:*:read",
request_id=request.state.request_id
)
except Exception as e:
logger.error(f"Failed to list tenants: {e}")
raise APIError(
code=ErrorCode.SYSTEM_ERROR,
message="Failed to retrieve tenants",
status_code=500,
details={"error": str(e)}
)
@router.post("/", status_code=status.HTTP_201_CREATED)
async def create_tenant(
request: Request,
tenant_data: TenantCreate,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
capability: CapabilityToken = Depends(require_capability("tenant", "*", "create"))
):
"""
Create a new tenant
CB-REST: Validates capability and returns standardized response
"""
try:
# Check if domain already exists
existing = await db.execute(
select(Tenant).where(Tenant.domain == tenant_data.domain)
)
if existing.scalar_one_or_none():
raise APIError(
code=ErrorCode.RESOURCE_ALREADY_EXISTS,
message=f"Tenant with domain '{tenant_data.domain}' already exists",
status_code=409
)
# Create tenant
tenant = Tenant(
uuid=str(uuid.uuid4()),
name=tenant_data.name,
domain=tenant_data.domain,
template=tenant_data.template,
max_users=tenant_data.max_users,
resource_limits=tenant_data.resource_limits,
namespace=f"tenant-{tenant_data.domain}",
status="pending",
created_by=capability.sub
)
db.add(tenant)
await db.commit()
await db.refresh(tenant)
# Schedule deployment in background
background_tasks.add_task(deploy_tenant, tenant.id)
# Format response
return format_response(
data={
"tenant_id": tenant.id,
"uuid": tenant.uuid,
"status": tenant.status,
"namespace": tenant.namespace
},
capability_used=f"tenant:*:create",
request_id=request.state.request_id
)
except APIError:
raise
except Exception as e:
logger.error(f"Failed to create tenant: {e}")
raise APIError(
code=ErrorCode.SYSTEM_ERROR,
message="Failed to create tenant",
status_code=500,
details={"error": str(e)}
)
@router.get("/{tenant_id}")
async def get_tenant(
request: Request,
tenant_id: int,
db: AsyncSession = Depends(get_db),
capability: CapabilityToken = Depends(require_capability("tenant", "{tenant_id}", "read"))
):
"""
Get a specific tenant by ID
CB-REST: Enforces tenant-specific capability
"""
try:
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise APIError(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Tenant {tenant_id} not found",
status_code=404
)
# Get user count
user_count_result = await db.execute(
select(func.count()).select_from(User).where(User.tenant_id == tenant_id)
)
user_count = user_count_result.scalar()
# Format response
tenant_data = TenantResponse.from_orm(tenant).dict()
tenant_data["user_count"] = user_count
return format_response(
data=tenant_data,
capability_used=f"tenant:{tenant_id}:read",
request_id=request.state.request_id
)
except APIError:
raise
except Exception as e:
logger.error(f"Failed to get tenant {tenant_id}: {e}")
raise APIError(
code=ErrorCode.SYSTEM_ERROR,
message="Failed to retrieve tenant",
status_code=500,
details={"error": str(e)}
)
@router.put("/{tenant_id}")
async def update_tenant(
request: Request,
tenant_id: int,
updates: TenantUpdate,
db: AsyncSession = Depends(get_db),
capability: CapabilityToken = Depends(require_capability("tenant", "{tenant_id}", "write"))
):
"""
Update a tenant
CB-REST: Requires write capability for specific tenant
"""
try:
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise APIError(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Tenant {tenant_id} not found",
status_code=404
)
# Track updated fields
updated_fields = []
# Apply updates
for field, value in updates.dict(exclude_unset=True).items():
if hasattr(tenant, field):
setattr(tenant, field, value)
updated_fields.append(field)
tenant.updated_at = datetime.utcnow()
tenant.updated_by = capability.sub
await db.commit()
await db.refresh(tenant)
return format_response(
data={
"updated_fields": updated_fields,
"status": tenant.status
},
capability_used=f"tenant:{tenant_id}:write",
request_id=request.state.request_id
)
except APIError:
raise
except Exception as e:
logger.error(f"Failed to update tenant {tenant_id}: {e}")
raise APIError(
code=ErrorCode.SYSTEM_ERROR,
message="Failed to update tenant",
status_code=500,
details={"error": str(e)}
)
@router.delete("/{tenant_id}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_tenant(
request: Request,
tenant_id: int,
db: AsyncSession = Depends(get_db),
capability: CapabilityToken = Depends(require_capability("tenant", "{tenant_id}", "delete"))
):
"""
Delete (archive) a tenant
CB-REST: Requires delete capability
"""
try:
result = await db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise APIError(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Tenant {tenant_id} not found",
status_code=404
)
# Soft delete - set status to archived
tenant.status = "archived"
tenant.updated_at = datetime.utcnow()
tenant.updated_by = capability.sub
await db.commit()
# No content response for successful deletion
return None
except APIError:
raise
except Exception as e:
logger.error(f"Failed to delete tenant {tenant_id}: {e}")
raise APIError(
code=ErrorCode.SYSTEM_ERROR,
message="Failed to delete tenant",
status_code=500,
details={"error": str(e)}
)
@router.post("/bulk")
async def bulk_tenant_operations(
request: Request,
operations: List[Dict[str, Any]],
transaction: bool = Query(True, description="Execute all operations in a transaction"),
db: AsyncSession = Depends(get_db),
capability: CapabilityToken = Depends(require_capability("tenant", "*", "admin"))
):
"""
Perform bulk operations on tenants
CB-REST: Admin capability required for bulk operations
"""
results = []
try:
if transaction:
# Start transaction
async with db.begin():
for op in operations:
result = await execute_tenant_operation(db, op, capability.sub)
results.append(result)
else:
# Execute independently
for op in operations:
try:
result = await execute_tenant_operation(db, op, capability.sub)
results.append(result)
except Exception as e:
results.append({
"operation_id": op.get("id", str(uuid.uuid4())),
"action": op.get("action"),
"success": False,
"error": str(e)
})
# Format bulk response
succeeded = sum(1 for r in results if r.get("success"))
failed = len(results) - succeeded
return format_response(
data={
"operations": results,
"transaction": transaction,
"total": len(results),
"succeeded": succeeded,
"failed": failed
},
capability_used="tenant:*:admin",
request_id=request.state.request_id
)
except Exception as e:
logger.error(f"Bulk operation failed: {e}")
raise APIError(
code=ErrorCode.SYSTEM_ERROR,
message="Bulk operation failed",
status_code=500,
details={"error": str(e)}
)
# Helper functions
async def deploy_tenant(tenant_id: int):
"""Background task to deploy tenant infrastructure"""
logger.info(f"Deploying tenant {tenant_id}")
try:
# For now, create the file-based tenant structure
# In K3s deployment, this will create Kubernetes resources
from app.services.tenant_provisioning import create_tenant_filesystem
# Create tenant filesystem structure
await create_tenant_filesystem(tenant_id)
# Initialize tenant database
from app.services.tenant_provisioning import init_tenant_database
await init_tenant_database(tenant_id)
logger.info(f"Tenant {tenant_id} deployment completed successfully")
return {"success": True, "message": f"Tenant {tenant_id} deployed"}
except Exception as e:
logger.error(f"Failed to deploy tenant {tenant_id}: {e}")
return {"success": False, "error": str(e)}
async def execute_tenant_operation(db: AsyncSession, operation: Dict[str, Any], user: str) -> Dict[str, Any]:
"""Execute a single tenant operation"""
action = operation.get("action")
if action == "create":
# Create tenant logic
pass
elif action == "update":
# Update tenant logic
pass
elif action == "delete":
# Delete tenant logic
pass
else:
raise ValueError(f"Unknown action: {action}")
return {
"operation_id": operation.get("id", str(uuid.uuid4())),
"action": action,
"success": True
}

663
apps/control-panel-backend/app/api/tfa.py Normal file
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"""
Two-Factor Authentication API endpoints
Handles TFA enable, disable, verification, and status operations.
"""
from datetime import datetime, timedelta, timezone
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, status, Request, Cookie
from fastapi.responses import Response
from pydantic import BaseModel
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
import uuid
import base64
import io
from app.core.database import get_db
from app.core.auth import get_current_user, JWTHandler
from app.models.user import User
from app.models.audit import AuditLog
from app.models.tfa_rate_limit import TFAVerificationRateLimit
from app.models.used_temp_token import UsedTempToken
from app.core.tfa import get_tfa_manager
logger = structlog.get_logger()
router = APIRouter(prefix="/tfa", tags=["tfa"])
# Pydantic models
class TFAEnableResponse(BaseModel):
success: bool
message: str
qr_code_uri: str
manual_entry_key: str
class TFAVerifySetupRequest(BaseModel):
code: str
class TFAVerifySetupResponse(BaseModel):
success: bool
message: str
class TFADisableRequest(BaseModel):
password: str
class TFADisableResponse(BaseModel):
success: bool
message: str
class TFAVerifyLoginRequest(BaseModel):
code: str # Only code needed - temp_token from session cookie
class TFAVerifyLoginResponse(BaseModel):
success: bool
access_token: Optional[str] = None
expires_in: Optional[int] = None
user: Optional[dict] = None
message: Optional[str] = None
class TFAStatusResponse(BaseModel):
tfa_enabled: bool
tfa_required: bool
tfa_status: str
class TFASessionDataResponse(BaseModel):
user_email: str
tfa_configured: bool
qr_code_uri: Optional[str] = None
manual_entry_key: Optional[str] = None
# Endpoints
@router.get("/session-data", response_model=TFASessionDataResponse)
async def get_tfa_session_data(
tfa_session: Optional[str] = Cookie(None),
db: AsyncSession = Depends(get_db)
):
"""
Get TFA setup data from server-side session.
Session ID from HTTP-only cookie.
Used by /verify-tfa page to fetch QR code on mount.
"""
if not tfa_session:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="No TFA session found"
)
# Get session from database
result = await db.execute(
select(UsedTempToken).where(UsedTempToken.token_id == tfa_session)
)
session = result.scalar_one_or_none()
if not session:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid TFA session"
)
# Check expiry
if datetime.now(timezone.utc) > session.expires_at:
await db.delete(session)
await db.commit()
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="TFA session expired"
)
# Check if already used
if session.used_at:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="TFA session already used"
)
logger.info(
"TFA session data retrieved",
session_id=tfa_session,
user_id=session.user_id,
tfa_configured=session.tfa_configured
)
return TFASessionDataResponse(
user_email=session.user_email,
tfa_configured=session.tfa_configured,
qr_code_uri=None, # Security: Don't expose QR code data URI - use blob endpoint
manual_entry_key=session.manual_entry_key
)
@router.get("/session-qr-code")
async def get_tfa_session_qr_code(
tfa_session: Optional[str] = Cookie(None, alias="tfa_session"),
db: AsyncSession = Depends(get_db)
):
"""
Get TFA QR code as PNG blob (secure: never exposes TOTP secret to JavaScript).
Session ID from HTTP-only cookie.
Returns raw PNG bytes with image/png content type.
"""
if not tfa_session:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="No TFA session found"
)
# Get session from database
result = await db.execute(
select(UsedTempToken).where(UsedTempToken.token_id == tfa_session)
)
session = result.scalar_one_or_none()
if not session:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid TFA session"
)
# Check expiry
if datetime.now(timezone.utc) > session.expires_at:
await db.delete(session)
await db.commit()
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="TFA session expired"
)
# Check if already used
if session.used_at:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="TFA session already used"
)
# Check if QR code exists (only for setup flow)
if not session.qr_code_uri:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="No QR code available for this session"
)
# Extract base64 PNG data from data URI
# Format: data:image/png;base64,iVBORw0KGgoAAAANS...
if not session.qr_code_uri.startswith("data:image/png;base64,"):
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Invalid QR code format"
)
base64_data = session.qr_code_uri.split(",", 1)[1]
png_bytes = base64.b64decode(base64_data)
logger.info(
"TFA QR code blob retrieved",
session_id=tfa_session,
user_id=session.user_id,
size_bytes=len(png_bytes)
)
# Return raw PNG bytes
return Response(
content=png_bytes,
media_type="image/png",
headers={
"Cache-Control": "no-store, no-cache, must-revalidate",
"Pragma": "no-cache",
"Expires": "0"
}
)
#
@router.post("/enable", response_model=TFAEnableResponse)
async def enable_tfa(
request: Request,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db)
):
"""
Enable TFA for current user (user-initiated from settings)
Generates TOTP secret and returns QR code for scanning
"""
try:
# Check if already enabled
if current_user.tfa_enabled:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="TFA is already enabled for this account"
)
# Get tenant name for QR code branding
tenant_name = None
if current_user.tenant_id:
from app.models.tenant import Tenant
tenant_result = await db.execute(
select(Tenant).where(Tenant.id == current_user.tenant_id)
)
tenant = tenant_result.scalar_one_or_none()
if tenant:
tenant_name = tenant.name
# Validate tenant name exists (fail fast - no fallback)
if not tenant_name:
logger.error("Tenant name not configured", user_id=current_user.id, tenant_id=current_user.tenant_id)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Tenant configuration error: tenant name not set"
)
# Get TFA manager
tfa_manager = get_tfa_manager()
# Setup TFA: generate secret, encrypt, create QR code with tenant branding
encrypted_secret, qr_code_uri, manual_entry_key = tfa_manager.setup_new_tfa(current_user.email, tenant_name)
# Save encrypted secret to user (but don't enable yet - wait for verification)
current_user.tfa_secret = encrypted_secret
await db.commit()
# Create audit log
audit_log = AuditLog.create_log(
action="user.tfa_setup_initiated",
user_id=current_user.id,
tenant_id=current_user.tenant_id,
details={"email": current_user.email},
ip_address=request.client.host if request.client else None,
user_agent=request.headers.get("user-agent")
)
db.add(audit_log)
await db.commit()
logger.info("TFA setup initiated", user_id=current_user.id, email=current_user.email)
return TFAEnableResponse(
success=True,
message="Scan QR code with Google Authenticator and enter the code to complete setup",
qr_code_uri=qr_code_uri,
manual_entry_key=manual_entry_key
)
except HTTPException:
raise
except Exception as e:
logger.error("TFA enable error", error=str(e), user_id=current_user.id)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to enable TFA"
)
@router.post("/verify-setup", response_model=TFAVerifySetupResponse)
async def verify_setup(
verify_data: TFAVerifySetupRequest,
request: Request,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db)
):
"""
Verify initial TFA setup code and enable TFA
"""
try:
# Check if TFA secret exists
if not current_user.tfa_secret:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="TFA setup not initiated. Call /tfa/enable first."
)
# Check if already enabled
if current_user.tfa_enabled:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="TFA is already enabled"
)
# Get TFA manager
tfa_manager = get_tfa_manager()
# Decrypt secret
secret = tfa_manager.decrypt_secret(current_user.tfa_secret)
# Verify code
if not tfa_manager.verify_totp(secret, verify_data.code):
logger.warning("TFA setup verification failed", user_id=current_user.id)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Invalid verification code"
)
# Enable TFA
current_user.tfa_enabled = True
await db.commit()
# Create audit log
audit_log = AuditLog.create_log(
action="user.tfa_enabled",
user_id=current_user.id,
tenant_id=current_user.tenant_id,
details={"email": current_user.email},
ip_address=request.client.host if request.client else None,
user_agent=request.headers.get("user-agent")
)
db.add(audit_log)
await db.commit()
logger.info("TFA enabled successfully", user_id=current_user.id, email=current_user.email)
return TFAVerifySetupResponse(
success=True,
message="Two-Factor Authentication enabled successfully"
)
except HTTPException:
raise
except Exception as e:
logger.error("TFA verify setup error", error=str(e), user_id=current_user.id)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to verify TFA setup"
)
@router.post("/disable", response_model=TFADisableResponse)
async def disable_tfa(
disable_data: TFADisableRequest,
request: Request,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db)
):
"""
Disable TFA for current user (requires password confirmation)
Only allowed if TFA is not required by admin
"""
try:
# Check if TFA is required by admin
if current_user.tfa_required:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Cannot disable TFA - it is required by your administrator"
)
# Check if TFA is enabled
if not current_user.tfa_enabled:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="TFA is not enabled"
)
# Verify password
from passlib.context import CryptContext
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
if not pwd_context.verify(disable_data.password, current_user.hashed_password):
logger.warning("TFA disable failed - invalid password", user_id=current_user.id)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Invalid password"
)
# Disable TFA and clear secret
current_user.tfa_enabled = False
current_user.tfa_secret = None
await db.commit()
# Create audit log
audit_log = AuditLog.create_log(
action="user.tfa_disabled",
user_id=current_user.id,
tenant_id=current_user.tenant_id,
details={"email": current_user.email},
ip_address=request.client.host if request.client else None,
user_agent=request.headers.get("user-agent")
)
db.add(audit_log)
await db.commit()
logger.info("TFA disabled successfully", user_id=current_user.id, email=current_user.email)
return TFADisableResponse(
success=True,
message="Two-Factor Authentication disabled successfully"
)
except HTTPException:
raise
except Exception as e:
logger.error("TFA disable error", error=str(e), user_id=current_user.id)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to disable TFA"
)
@router.post("/verify-login", response_model=TFAVerifyLoginResponse)
async def verify_login(
verify_data: TFAVerifyLoginRequest,
request: Request,
tfa_session: Optional[str] = Cookie(None),
db: AsyncSession = Depends(get_db)
):
"""
Verify TFA code during login and issue final JWT
Handles both setup (State 2) and verification (State 3)
Uses session cookie to get temp_token (server-side session)
"""
try:
# Get session from cookie
if not tfa_session:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="No TFA session found"
)
# Get session from database
result = await db.execute(
select(UsedTempToken).where(UsedTempToken.token_id == tfa_session)
)
session = result.scalar_one_or_none()
if not session or not session.temp_token:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid TFA session"
)
# Check expiry
if datetime.now(timezone.utc) > session.expires_at:
await db.delete(session)
await db.commit()
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="TFA session expired"
)
# Check if already used
if session.used_at:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="TFA session already used"
)
# Get user_id and token_id from session
user_id = session.user_id
token_id = session.token_id
# Check for replay attack
if await UsedTempToken.is_token_used(token_id, db):
logger.warning("Temp token replay attempt detected", user_id=user_id, token_id=token_id)
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Token has already been used"
)
# Check rate limiting
if await TFAVerificationRateLimit.is_rate_limited(user_id, db):
logger.warning("TFA verification rate limited", user_id=user_id)
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail="Too many attempts. Please wait 60 seconds and try again."
)
# Record attempt for rate limiting
await TFAVerificationRateLimit.record_attempt(user_id, db)
# Get user
result = await db.execute(select(User).where(User.id == user_id))
user = result.scalar_one_or_none()
if not user or not user.is_active:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="User not found or inactive"
)
# Check if TFA secret exists
if not user.tfa_secret:
logger.error("TFA secret missing during verification", user_id=user_id)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="TFA not properly configured"
)
# Get TFA manager
tfa_manager = get_tfa_manager()
# Decrypt secret
secret = tfa_manager.decrypt_secret(user.tfa_secret)
# Verify TOTP code
if not tfa_manager.verify_totp(secret, verify_data.code):
logger.warning("TFA verification failed", user_id=user_id)
# Create audit log for failed attempt
audit_log = AuditLog.create_log(
action="user.tfa_verification_failed",
user_id=user_id,
tenant_id=user.tenant_id,
details={"email": user.email},
ip_address=request.client.host if request.client else None,
user_agent=request.headers.get("user-agent")
)
db.add(audit_log)
await db.commit()
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Invalid verification code"
)
# If TFA was enforced but not enabled, enable it now
if user.tfa_required and not user.tfa_enabled:
user.tfa_enabled = True
logger.info("TFA auto-enabled after mandatory setup", user_id=user_id)
# Mark session as used
session.used_at = datetime.now(timezone.utc)
await db.commit()
# Update last login
user.last_login_at = datetime.now(timezone.utc)
# Get tenant context
from app.models.tenant import Tenant
if user.tenant_id:
tenant_result = await db.execute(
select(Tenant).where(Tenant.id == user.tenant_id)
)
tenant = tenant_result.scalar_one_or_none()
current_tenant_context = {
"id": str(user.tenant_id),
"domain": tenant.domain if tenant else f"tenant_{user.tenant_id}",
"name": tenant.name if tenant else f"Tenant {user.tenant_id}",
"role": user.user_type,
"display_name": user.full_name,
"email": user.email,
"is_primary": True
}
available_tenants = [current_tenant_context]
else:
current_tenant_context = {
"id": None,
"domain": "none",
"name": "No Tenant",
"role": user.user_type
}
available_tenants = []
# Create final JWT token
token = JWTHandler.create_access_token(
user_id=user.id,
user_email=user.email,
user_type=user.user_type,
current_tenant=current_tenant_context,
available_tenants=available_tenants,
capabilities=user.capabilities or []
)
# Create audit log for successful verification
audit_log = AuditLog.create_log(
action="user.tfa_verification_success",
user_id=user_id,
tenant_id=user.tenant_id,
details={"email": user.email},
ip_address=request.client.host if request.client else None,
user_agent=request.headers.get("user-agent")
)
db.add(audit_log)
await db.commit()
logger.info("TFA verification successful", user_id=user_id, email=user.email)
# Return response with user object for frontend validation
from fastapi.responses import JSONResponse
response = JSONResponse(content={
"success": True,
"access_token": token,
"user": {
"id": user.id,
"email": user.email,
"full_name": user.full_name,
"user_type": user.user_type,
"tenant_id": user.tenant_id,
"capabilities": user.capabilities or [],
"tfa_setup_pending": False
}
})
# Delete TFA session cookie
response.delete_cookie(key="tfa_session")
return response
except HTTPException:
raise
except Exception as e:
logger.error("TFA verify login error", error=str(e))
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to verify TFA code"
)
@router.get("/status", response_model=TFAStatusResponse)
async def get_tfa_status(
current_user: User = Depends(get_current_user)
):
"""Get TFA status for current user"""
return TFAStatusResponse(
tfa_enabled=current_user.tfa_enabled,
tfa_required=current_user.tfa_required,
tfa_status=current_user.tfa_status
)

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"""
Analytics and Dremio SQL Federation Endpoints
"""
from typing import List, Dict, Any, Optional
from datetime import datetime
from fastapi import APIRouter, Depends, HTTPException, status, Query
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel
from app.core.database import get_db
from app.services.dremio_service import DremioService
from app.core.auth import get_current_user
from app.models.user import User
router = APIRouter(prefix="/api/v1/analytics", tags=["Analytics"])
class TenantDashboardResponse(BaseModel):
"""Response model for tenant dashboard data"""
tenant: Dict[str, Any]
metrics: Dict[str, Any]
analytics: Dict[str, Any]
alerts: List[Dict[str, Any]]
class CustomQueryRequest(BaseModel):
"""Request model for custom analytics queries"""
query_type: str
start_date: Optional[datetime] = None
end_date: Optional[datetime] = None
class DatasetCreationResponse(BaseModel):
"""Response model for dataset creation"""
tenant_id: int
datasets_created: List[str]
status: str
@router.get("/dashboard/{tenant_id}", response_model=TenantDashboardResponse)
async def get_tenant_dashboard(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get comprehensive dashboard data for a tenant using Dremio SQL federation"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to view dashboard"
)
service = DremioService(db)
try:
dashboard_data = await service.get_tenant_dashboard_data(tenant_id)
return TenantDashboardResponse(**dashboard_data)
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to fetch dashboard data: {str(e)}"
)
@router.post("/query/{tenant_id}")
async def execute_custom_analytics(
tenant_id: int,
request: CustomQueryRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Execute custom analytics queries for a tenant"""
# Check permissions (only admins)
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions for analytics queries"
)
service = DremioService(db)
try:
results = await service.get_custom_analytics(
tenant_id=tenant_id,
query_type=request.query_type,
start_date=request.start_date,
end_date=request.end_date
)
return {
"query_type": request.query_type,
"results": results,
"count": len(results)
}
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=str(e)
)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Query execution failed: {str(e)}"
)
@router.post("/datasets/create/{tenant_id}", response_model=DatasetCreationResponse)
async def create_virtual_datasets(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Create Dremio virtual datasets for tenant analytics"""
# Check permissions (only GT admin)
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only GT admins can create virtual datasets"
)
service = DremioService(db)
try:
result = await service.create_virtual_datasets(tenant_id)
return DatasetCreationResponse(**result)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to create datasets: {str(e)}"
)
@router.get("/metrics/performance/{tenant_id}")
async def get_performance_metrics(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get real-time performance metrics for a tenant"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to view metrics"
)
if current_user.user_type == 'tenant_admin' and current_user.tenant_id != tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Cannot view metrics for other tenants"
)
service = DremioService(db)
try:
metrics = await service._get_performance_metrics(tenant_id)
return metrics
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to fetch metrics: {str(e)}"
)
@router.get("/alerts/{tenant_id}")
async def get_security_alerts(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get security and operational alerts for a tenant"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to view alerts"
)
if current_user.user_type == 'tenant_admin' and current_user.tenant_id != tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Cannot view alerts for other tenants"
)
service = DremioService(db)
try:
alerts = await service._get_security_alerts(tenant_id)
return {
"tenant_id": tenant_id,
"alerts": alerts,
"total": len(alerts),
"critical": len([a for a in alerts if a.get('severity') == 'critical']),
"warning": len([a for a in alerts if a.get('severity') == 'warning']),
"info": len([a for a in alerts if a.get('severity') == 'info'])
}
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to fetch alerts: {str(e)}"
)
@router.get("/query-types")
async def get_available_query_types(
current_user: User = Depends(get_current_user)
):
"""Get list of available analytics query types"""
return {
"query_types": [
{
"id": "user_activity",
"name": "User Activity Analysis",
"description": "Analyze user activity, token usage, and costs"
},
{
"id": "resource_trends",
"name": "Resource Usage Trends",
"description": "View resource usage trends over time"
},
{
"id": "cost_optimization",
"name": "Cost Optimization Report",
"description": "Identify cost optimization opportunities"
}
]
}

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"""
API Key Management Endpoints
"""
from typing import List, Dict, Any, Optional
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel
from app.core.database import get_db
from app.services.api_key_service import APIKeyService
from app.core.auth import get_current_user
from app.models.user import User
router = APIRouter(prefix="/api/v1/api-keys", tags=["API Keys"])
class SetAPIKeyRequest(BaseModel):
"""Request model for setting an API key"""
tenant_id: int
provider: str
api_key: str
api_secret: Optional[str] = None
enabled: bool = True
metadata: Optional[Dict[str, Any]] = None
class APIKeyResponse(BaseModel):
"""Response model for API key operations"""
tenant_id: int
provider: str
enabled: bool
updated_at: str
class APIKeyStatusResponse(BaseModel):
"""Response model for API key status"""
configured: bool
enabled: bool
updated_at: Optional[str]
metadata: Optional[Dict[str, Any]]
class TestAPIKeyResponse(BaseModel):
"""Response model for API key testing"""
provider: str
valid: bool
message: str
status_code: Optional[int] = None
error: Optional[str] = None
error_type: Optional[str] = None # auth_failed, rate_limited, invalid_format, insufficient_permissions
rate_limit_remaining: Optional[int] = None
rate_limit_reset: Optional[str] = None
models_available: Optional[int] = None # Count of models accessible with this key
@router.post("/set", response_model=APIKeyResponse)
async def set_api_key(
request: SetAPIKeyRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Set or update an API key for a tenant"""
# Check permissions (must be GT admin or tenant admin)
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to manage API keys"
)
service = APIKeyService(db)
try:
result = await service.set_api_key(
tenant_id=request.tenant_id,
provider=request.provider,
api_key=request.api_key,
api_secret=request.api_secret,
enabled=request.enabled,
metadata=request.metadata
)
return APIKeyResponse(**result)
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=str(e)
)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to set API key: {str(e)}"
)
@router.get("/tenant/{tenant_id}", response_model=Dict[str, APIKeyStatusResponse])
async def get_tenant_api_keys(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get all API keys for a tenant (without decryption)"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to view API keys"
)
service = APIKeyService(db)
try:
api_keys = await service.get_api_keys(tenant_id)
return {
provider: APIKeyStatusResponse(**info)
for provider, info in api_keys.items()
}
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)
@router.post("/test/{tenant_id}/{provider}", response_model=TestAPIKeyResponse)
async def test_api_key(
tenant_id: int,
provider: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Test if an API key is valid"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to test API keys"
)
service = APIKeyService(db)
try:
result = await service.test_api_key(tenant_id, provider)
return TestAPIKeyResponse(**result)
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Test failed: {str(e)}"
)
@router.put("/disable/{tenant_id}/{provider}")
async def disable_api_key(
tenant_id: int,
provider: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Disable an API key without removing it"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to manage API keys"
)
service = APIKeyService(db)
try:
success = await service.disable_api_key(tenant_id, provider)
return {"success": success, "provider": provider, "enabled": False}
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)
@router.delete("/remove/{tenant_id}/{provider}")
async def remove_api_key(
tenant_id: int,
provider: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Completely remove an API key"""
# Check permissions (only GT admin can remove)
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only GT admins can remove API keys"
)
service = APIKeyService(db)
try:
success = await service.remove_api_key(tenant_id, provider)
if success:
return {"success": True, "message": f"API key for {provider} removed"}
else:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"API key for {provider} not found"
)
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)
@router.get("/providers", response_model=List[Dict[str, Any]])
async def get_supported_providers(
current_user: User = Depends(get_current_user)
):
"""Get list of supported API key providers"""
return APIKeyService.get_supported_providers()
@router.get("/usage/{tenant_id}/{provider}")
async def get_api_key_usage(
tenant_id: int,
provider: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""Get usage statistics for an API key"""
# Check permissions
if current_user.user_type != 'super_admin':
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions to view usage"
)
service = APIKeyService(db)
try:
usage = await service.get_api_key_usage(tenant_id, provider)
return usage
except ValueError as e:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(e)
)

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"""
Resource Management API for GT 2.0 Control Panel
Provides comprehensive resource allocation and monitoring capabilities for admins.
"""
from datetime import datetime, timedelta
from typing import List, Optional, Dict, Any
from fastapi import APIRouter, Depends, HTTPException, Query, status
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel, Field
from app.core.database import get_db
from app.core.auth import get_current_user
from app.models.user import User
from app.services.resource_allocation import ResourceAllocationService, ResourceType
router = APIRouter(prefix="/resource-management", tags=["Resource Management"])
# Pydantic models
class ResourceAllocationRequest(BaseModel):
tenant_id: int
template: str = Field(..., description="Resource template (startup, standard, enterprise)")
class ResourceScalingRequest(BaseModel):
tenant_id: int
resource_type: str = Field(..., description="Resource type to scale")
scale_factor: float = Field(..., ge=0.1, le=10.0, description="Scaling factor (1.0 = no change)")
class ResourceUsageUpdateRequest(BaseModel):
tenant_id: int
resource_type: str
usage_delta: float = Field(..., description="Change in usage (positive or negative)")
class ResourceQuotaResponse(BaseModel):
id: int
tenant_id: int
resource_type: str
max_value: float
current_usage: float
usage_percentage: float
warning_threshold: float
critical_threshold: float
unit: str
cost_per_unit: float
is_active: bool
created_at: str
updated_at: str
class ResourceUsageResponse(BaseModel):
resource_type: str
current_usage: float
max_allowed: float
percentage_used: float
cost_accrued: float
last_updated: str
class ResourceAlertResponse(BaseModel):
id: int
tenant_id: int
resource_type: str
alert_level: str
message: str
current_usage: float
max_value: float
percentage_used: float
acknowledged: bool
acknowledged_by: Optional[str]
acknowledged_at: Optional[str]
created_at: str
class SystemResourceOverviewResponse(BaseModel):
timestamp: str
resource_overview: Dict[str, Any]
total_tenants: int
class TenantCostResponse(BaseModel):
tenant_id: int
period_start: str
period_end: str
total_cost: float
costs_by_resource: Dict[str, Any]
currency: str
@router.post("/allocate", status_code=status.HTTP_201_CREATED)
async def allocate_tenant_resources(
request: ResourceAllocationRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Allocate initial resources to a tenant based on template.
"""
# Check admin permissions
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Super admin privileges required"
)
try:
service = ResourceAllocationService(db)
success = await service.allocate_resources(request.tenant_id, request.template)
if not success:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Failed to allocate resources"
)
return {"message": "Resources allocated successfully", "tenant_id": request.tenant_id}
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Resource allocation failed: {str(e)}"
)
@router.get("/tenant/{tenant_id}/usage", response_model=Dict[str, ResourceUsageResponse])
async def get_tenant_resource_usage(
tenant_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Get current resource usage for a specific tenant.
"""
# Check permissions
if current_user.user_type != "super_admin":
# Regular users can only view their own tenant
if current_user.tenant_id != tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
try:
service = ResourceAllocationService(db)
usage_data = await service.get_tenant_resource_usage(tenant_id)
# Convert to response format
response = {}
for resource_type, data in usage_data.items():
response[resource_type] = ResourceUsageResponse(
resource_type=data.resource_type.value,
current_usage=data.current_usage,
max_allowed=data.max_allowed,
percentage_used=data.percentage_used,
cost_accrued=data.cost_accrued,
last_updated=data.last_updated.isoformat()
)
return response
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get resource usage: {str(e)}"
)
@router.post("/usage/update")
async def update_resource_usage(
request: ResourceUsageUpdateRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Update resource usage for a tenant (usually called by services).
"""
# This endpoint is typically called by services, so we allow tenant users for their own tenant
if current_user.user_type != "super_admin":
if current_user.tenant_id != request.tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
try:
# Validate resource type
try:
resource_type = ResourceType(request.resource_type)
except ValueError:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Invalid resource type: {request.resource_type}"
)
service = ResourceAllocationService(db)
success = await service.update_resource_usage(
request.tenant_id,
resource_type,
request.usage_delta
)
if not success:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Failed to update resource usage (quota exceeded or not found)"
)
return {"message": "Resource usage updated successfully"}
except HTTPException:
raise
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to update resource usage: {str(e)}"
)
@router.post("/scale")
async def scale_tenant_resources(
request: ResourceScalingRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Scale tenant resources up or down.
"""
# Check admin permissions
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Super admin privileges required"
)
try:
# Validate resource type
try:
resource_type = ResourceType(request.resource_type)
except ValueError:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Invalid resource type: {request.resource_type}"
)
service = ResourceAllocationService(db)
success = await service.scale_tenant_resources(
request.tenant_id,
resource_type,
request.scale_factor
)
if not success:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Failed to scale resources"
)
return {
"message": "Resources scaled successfully",
"tenant_id": request.tenant_id,
"resource_type": request.resource_type,
"scale_factor": request.scale_factor
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to scale resources: {str(e)}"
)
@router.get("/tenant/{tenant_id}/costs", response_model=TenantCostResponse)
async def get_tenant_costs(
tenant_id: int,
start_date: Optional[str] = Query(None, description="Start date (ISO format)"),
end_date: Optional[str] = Query(None, description="End date (ISO format)"),
days: int = Query(30, ge=1, le=365, description="Days back from now if dates not specified"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Get cost breakdown for a tenant over a date range.
"""
# Check permissions
if current_user.user_type != "super_admin":
if current_user.tenant_id != tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
try:
# Parse dates
if start_date and end_date:
start_dt = datetime.fromisoformat(start_date.replace('Z', '+00:00'))
end_dt = datetime.fromisoformat(end_date.replace('Z', '+00:00'))
else:
end_dt = datetime.utcnow()
start_dt = end_dt - timedelta(days=days)
service = ResourceAllocationService(db)
cost_data = await service.get_tenant_costs(tenant_id, start_dt, end_dt)
if not cost_data:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="No cost data found for tenant"
)
return TenantCostResponse(**cost_data)
except HTTPException:
raise
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get tenant costs: {str(e)}"
)
@router.get("/alerts", response_model=List[ResourceAlertResponse])
async def get_resource_alerts(
tenant_id: Optional[int] = Query(None, description="Filter by tenant ID"),
hours: int = Query(24, ge=1, le=168, description="Hours back to look for alerts"),
alert_level: Optional[str] = Query(None, description="Filter by alert level"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Get resource alerts for tenant(s).
"""
# Check permissions
if current_user.user_type != "super_admin":
# Regular users can only see their own tenant alerts
if tenant_id and current_user.tenant_id != tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
tenant_id = current_user.tenant_id
try:
service = ResourceAllocationService(db)
alerts = await service.get_resource_alerts(tenant_id, hours)
# Filter by alert level if specified
if alert_level:
alerts = [alert for alert in alerts if alert['alert_level'] == alert_level]
return [ResourceAlertResponse(**alert) for alert in alerts]
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get resource alerts: {str(e)}"
)
@router.get("/system/overview", response_model=SystemResourceOverviewResponse)
async def get_system_resource_overview(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Get system-wide resource usage overview (admin only).
"""
# Check admin permissions
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Super admin privileges required"
)
try:
service = ResourceAllocationService(db)
overview = await service.get_system_resource_overview()
if not overview:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="No system resource data available"
)
return SystemResourceOverviewResponse(**overview)
except HTTPException:
raise
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get system overview: {str(e)}"
)
@router.post("/alerts/{alert_id}/acknowledge")
async def acknowledge_alert(
alert_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Acknowledge a resource alert.
"""
try:
from app.models.resource_usage import ResourceAlert
from sqlalchemy import select, update
# Get the alert
result = await db.execute(select(ResourceAlert).where(ResourceAlert.id == alert_id))
alert = result.scalar_one_or_none()
if not alert:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Alert not found"
)
# Check permissions
if current_user.user_type != "super_admin":
if current_user.tenant_id != alert.tenant_id:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Insufficient permissions"
)
# Acknowledge the alert
alert.acknowledge(current_user.email)
await db.commit()
return {"message": "Alert acknowledged successfully", "alert_id": alert_id}
except HTTPException:
raise
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to acknowledge alert: {str(e)}"
)
@router.get("/templates")
async def get_resource_templates(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Get available resource allocation templates.
"""
try:
# Return hardcoded templates for now
templates = {
"startup": {
"name": "startup",
"display_name": "Startup",
"description": "Basic resources for small teams and development",
"monthly_cost": 99.0,
"resources": {
"cpu": {"limit": 2.0, "unit": "cores"},
"memory": {"limit": 4096, "unit": "MB"},
"storage": {"limit": 10240, "unit": "MB"},
"api_calls": {"limit": 10000, "unit": "calls/hour"},
"model_inference": {"limit": 1000, "unit": "tokens"}
}
},
"standard": {
"name": "standard",
"display_name": "Standard",
"description": "Standard resources for production workloads",
"monthly_cost": 299.0,
"resources": {
"cpu": {"limit": 4.0, "unit": "cores"},
"memory": {"limit": 8192, "unit": "MB"},
"storage": {"limit": 51200, "unit": "MB"},
"api_calls": {"limit": 50000, "unit": "calls/hour"},
"model_inference": {"limit": 10000, "unit": "tokens"}
}
},
"enterprise": {
"name": "enterprise",
"display_name": "Enterprise",
"description": "High-performance resources for large organizations",
"monthly_cost": 999.0,
"resources": {
"cpu": {"limit": 16.0, "unit": "cores"},
"memory": {"limit": 32768, "unit": "MB"},
"storage": {"limit": 102400, "unit": "MB"},
"api_calls": {"limit": 200000, "unit": "calls/hour"},
"model_inference": {"limit": 100000, "unit": "tokens"},
"gpu_time": {"limit": 1000, "unit": "minutes"}
}
}
}
return {"templates": templates}
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get resource templates: {str(e)}"
)
# Agent Library Templates Endpoints
class AssistantTemplateRequest(BaseModel):
name: str
description: str
category: str
icon: str = "🤖"
system_prompt: str
capabilities: List[str] = []
tags: List[str] = []
access_groups: List[str] = []
class AssistantTemplateResponse(BaseModel):
id: str
template_id: str
name: str
description: str
category: str
icon: str
version: str
status: str
access_groups: List[str]
deployment_count: int
active_instances: int
popularity_score: int
last_updated: str
created_by: str
created_at: str
capabilities: List[str]
prompt_preview: str
tags: List[str]
compatibility: List[str]
@router.get("/templates/", response_model=dict)
async def list_agent_templates(
page: int = Query(1, ge=1),
limit: int = Query(20, ge=1, le=100),
category: Optional[str] = Query(None),
status: Optional[str] = Query(None),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
List agent templates for the agent library.
"""
try:
# Mock data for now - replace with actual database queries
mock_templates = [
{
"id": "1",
"template_id": "cybersec_analyst",
"name": "Cybersecurity Analyst",
"description": "AI agent specialized in cybersecurity analysis, threat detection, and incident response",
"category": "cybersecurity",
"icon": "🛡️",
"version": "1.2.0",
"status": "published",
"access_groups": ["security_team", "admin"],
"deployment_count": 15,
"active_instances": 8,
"popularity_score": 92,
"last_updated": "2024-01-15T10:30:00Z",
"created_by": "admin@gt2.com",
"created_at": "2024-01-10T14:20:00Z",
"capabilities": ["threat_analysis", "log_analysis", "incident_response", "compliance_check"],
"prompt_preview": "You are a cybersecurity analyst agent...",
"tags": ["security", "analysis", "incident"],
"compatibility": ["gpt-4", "claude-3"]
},
{
"id": "2",
"template_id": "research_assistant",
"name": "Research Agent",
"description": "Academic research helper for literature review, data analysis, and paper writing",
"category": "research",
"icon": "📚",
"version": "2.0.1",
"status": "published",
"access_groups": ["researchers", "academics"],
"deployment_count": 23,
"active_instances": 12,
"popularity_score": 88,
"last_updated": "2024-01-12T16:45:00Z",
"created_by": "research@gt2.com",
"created_at": "2024-01-05T09:15:00Z",
"capabilities": ["literature_search", "data_analysis", "citation_help", "writing_assistance"],
"prompt_preview": "You are an academic research agent...",
"tags": ["research", "academic", "writing"],
"compatibility": ["gpt-4", "claude-3", "llama-2"]
},
{
"id": "3",
"template_id": "code_reviewer",
"name": "Code Reviewer",
"description": "AI agent for code review, best practices, and security vulnerability detection",
"category": "development",
"icon": "💻",
"version": "1.5.0",
"status": "testing",
"access_groups": ["developers", "devops"],
"deployment_count": 7,
"active_instances": 4,
"popularity_score": 85,
"last_updated": "2024-01-18T11:20:00Z",
"created_by": "dev@gt2.com",
"created_at": "2024-01-15T13:30:00Z",
"capabilities": ["code_review", "security_scan", "best_practices", "refactoring"],
"prompt_preview": "You are a senior code reviewer...",
"tags": ["development", "code", "security"],
"compatibility": ["gpt-4", "codex"]
}
]
# Apply filters
filtered_templates = mock_templates
if category:
filtered_templates = [t for t in filtered_templates if t["category"] == category]
if status:
filtered_templates = [t for t in filtered_templates if t["status"] == status]
# Apply pagination
start = (page - 1) * limit
end = start + limit
paginated_templates = filtered_templates[start:end]
return {
"data": {
"templates": paginated_templates,
"total": len(filtered_templates),
"page": page,
"limit": limit
}
}
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to list agent templates: {str(e)}"
)
@router.get("/access-groups/", response_model=dict)
async def list_access_groups(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
List access groups for agent templates.
"""
try:
# Mock data for now
mock_access_groups = [
{
"id": "1",
"name": "security_team",
"description": "Cybersecurity team with access to security-focused agents",
"tenant_count": 8,
"permissions": ["deploy_security", "manage_policies", "view_logs"]
},
{
"id": "2",
"name": "researchers",
"description": "Academic researchers and data analysts",
"tenant_count": 12,
"permissions": ["deploy_research", "access_data", "export_results"]
},
{
"id": "3",
"name": "developers",
"description": "Software development teams",
"tenant_count": 15,
"permissions": ["deploy_code", "review_access", "ci_cd_integration"]
},
{
"id": "4",
"name": "admin",
"description": "System administrators with full access",
"tenant_count": 3,
"permissions": ["full_access", "manage_templates", "system_config"]
}
]
return {
"data": {
"access_groups": mock_access_groups
}
}
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to list access groups: {str(e)}"
)
@router.get("/deployments/", response_model=dict)
async def get_deployments(
template_id: Optional[str] = Query(None),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""
Get deployment status for agent templates.
"""
try:
# Mock data for now
mock_deployments = [
{
"id": "1",
"template_id": "cybersec_analyst",
"tenant_name": "Acme Corp",
"tenant_id": "acme-corp",
"status": "completed",
"deployed_at": "2024-01-16T09:30:00Z",
"customizations": {"theme": "dark", "language": "en"}
},
{
"id": "2",
"template_id": "research_assistant",
"tenant_name": "University Lab",
"tenant_id": "uni-lab",
"status": "processing",
"customizations": {"domain": "biology", "access_level": "restricted"}
},
{
"id": "3",
"template_id": "code_reviewer",
"tenant_name": "DevTeam Inc",
"tenant_id": "devteam-inc",
"status": "failed",
"error_message": "Insufficient resources available",
"customizations": {"languages": ["python", "javascript"]}
}
]
# Filter by template_id if provided
if template_id:
mock_deployments = [d for d in mock_deployments if d["template_id"] == template_id]
return {
"data": {
"deployments": mock_deployments
}
}
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get deployments: {str(e)}"
)

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apps/control-panel-backend/app/api/v1/resources_cbrest.py Normal file
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"""
GT 2.0 Control Panel - Resources API with CB-REST Standards
"""
from typing import List, Optional, Dict, Any
from fastapi import APIRouter, Depends, Query, BackgroundTasks, Request
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel, Field
import logging
import uuid
from datetime import datetime
from app.core.database import get_db
from app.core.api_standards import (
format_response,
format_error,
ErrorCode,
APIError,
require_capability
)
from app.services.resource_service import ResourceService
from app.services.groq_service import groq_service
from app.models.ai_resource import AIResource
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/resources", tags=["AI Resources"])
# Request/Response Models
class ResourceCreateRequest(BaseModel):
name: str = Field(..., min_length=1, max_length=100)
description: Optional[str] = Field(None, max_length=500)
resource_type: str
provider: str
model_name: Optional[str] = None
personalization_mode: str = "shared"
primary_endpoint: Optional[str] = None
api_endpoints: List[str] = []
failover_endpoints: List[str] = []
health_check_url: Optional[str] = None
max_requests_per_minute: int = 60
max_tokens_per_request: int = 4000
cost_per_1k_tokens: float = 0.0
configuration: Dict[str, Any] = {}
class ResourceUpdateRequest(BaseModel):
name: Optional[str] = None
description: Optional[str] = None
personalization_mode: Optional[str] = None
primary_endpoint: Optional[str] = None
api_endpoints: Optional[List[str]] = None
failover_endpoints: Optional[List[str]] = None
health_check_url: Optional[str] = None
max_requests_per_minute: Optional[int] = None
max_tokens_per_request: Optional[int] = None
cost_per_1k_tokens: Optional[float] = None
configuration: Optional[Dict[str, Any]] = None
is_active: Optional[bool] = None
class BulkAssignRequest(BaseModel):
resource_ids: List[int]
tenant_ids: List[int]
usage_limits: Optional[Dict[str, Any]] = None
custom_config: Optional[Dict[str, Any]] = None
@router.get("")
async def list_resources(
request: Request,
db: AsyncSession = Depends(get_db),
resource_type: Optional[str] = Query(None, description="Filter by resource type"),
provider: Optional[str] = Query(None, description="Filter by provider"),
is_active: Optional[bool] = Query(None, description="Filter by active status"),
search: Optional[str] = Query(None, description="Search in name and description"),
limit: int = Query(100, ge=1, le=1000),
offset: int = Query(0, ge=0)
):
"""
List all AI resources with filtering and pagination
CB-REST Capability Required: resource:*:read
"""
try:
service = ResourceService(db)
# Build filters
filters = {}
if resource_type:
filters['resource_type'] = resource_type
if provider:
filters['provider'] = provider
if is_active is not None:
filters['is_active'] = is_active
if search:
filters['search'] = search
resources = await service.list_resources(
filters=filters,
limit=limit,
offset=offset
)
# Get categories for easier filtering
categories = await service.get_resource_categories()
return format_response(
data={
"resources": [r.dict() for r in resources],
"categories": categories,
"total": len(resources),
"limit": limit,
"offset": offset
},
capability_used="resource:*:read",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to list resources: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used="resource:*:read",
request_id=getattr(request.state, 'request_id', None)
)
@router.post("")
async def create_resource(
request: Request,
resource: ResourceCreateRequest,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db)
):
"""
Create a new AI resource
CB-REST Capability Required: resource:*:create
"""
try:
service = ResourceService(db)
# Create resource
new_resource = await service.create_resource(
name=resource.name,
description=resource.description,
resource_type=resource.resource_type,
provider=resource.provider,
model_name=resource.model_name,
personalization_mode=resource.personalization_mode,
primary_endpoint=resource.primary_endpoint,
api_endpoints=resource.api_endpoints,
failover_endpoints=resource.failover_endpoints,
health_check_url=resource.health_check_url,
max_requests_per_minute=resource.max_requests_per_minute,
max_tokens_per_request=resource.max_tokens_per_request,
cost_per_1k_tokens=resource.cost_per_1k_tokens,
configuration=resource.configuration,
created_by=getattr(request.state, 'user_email', 'system')
)
# Schedule health check
if resource.health_check_url:
background_tasks.add_task(
service.perform_health_check,
new_resource.id
)
return format_response(
data={
"resource_id": new_resource.id,
"uuid": new_resource.uuid,
"health_check_scheduled": bool(resource.health_check_url)
},
capability_used="resource:*:create",
request_id=getattr(request.state, 'request_id', None)
)
except ValueError as e:
logger.error(f"Invalid request for resource creation: {e}", exc_info=True)
return format_error(
code=ErrorCode.INVALID_REQUEST,
message="Invalid request parameters",
capability_used="resource:*:create",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to create resource: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used="resource:*:create",
request_id=getattr(request.state, 'request_id', None)
)
@router.get("/{resource_id}")
async def get_resource(
request: Request,
resource_id: int,
db: AsyncSession = Depends(get_db)
):
"""
Get a specific AI resource with full configuration and metrics
CB-REST Capability Required: resource:{resource_id}:read
"""
try:
service = ResourceService(db)
resource = await service.get_resource(resource_id)
if not resource:
return format_error(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Resource {resource_id} not found",
capability_used=f"resource:{resource_id}:read",
request_id=getattr(request.state, 'request_id', None)
)
# Get additional metrics
metrics = await service.get_resource_metrics(resource_id)
return format_response(
data={
**resource.dict(),
"metrics": metrics
},
capability_used=f"resource:{resource_id}:read",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to get resource {resource_id}: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used=f"resource:{resource_id}:read",
request_id=getattr(request.state, 'request_id', None)
)
@router.put("/{resource_id}")
async def update_resource(
request: Request,
resource_id: int,
update: ResourceUpdateRequest,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db)
):
"""
Update an AI resource configuration
CB-REST Capability Required: resource:{resource_id}:update
"""
try:
service = ResourceService(db)
# Update resource
updated_resource = await service.update_resource(
resource_id=resource_id,
**update.dict(exclude_unset=True)
)
if not updated_resource:
return format_error(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Resource {resource_id} not found",
capability_used=f"resource:{resource_id}:update",
request_id=getattr(request.state, 'request_id', None)
)
# Schedule health check if endpoint changed
if update.primary_endpoint or update.health_check_url:
background_tasks.add_task(
service.perform_health_check,
resource_id
)
return format_response(
data={
"resource_id": resource_id,
"updated_fields": list(update.dict(exclude_unset=True).keys()),
"health_check_required": bool(update.primary_endpoint or update.health_check_url)
},
capability_used=f"resource:{resource_id}:update",
request_id=getattr(request.state, 'request_id', None)
)
except ValueError as e:
logger.error(f"Invalid request for resource update: {e}", exc_info=True)
return format_error(
code=ErrorCode.INVALID_REQUEST,
message="Invalid request parameters",
capability_used=f"resource:{resource_id}:update",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to update resource {resource_id}: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used=f"resource:{resource_id}:update",
request_id=getattr(request.state, 'request_id', None)
)
@router.delete("/{resource_id}")
async def delete_resource(
request: Request,
resource_id: int,
db: AsyncSession = Depends(get_db)
):
"""
Archive an AI resource (soft delete)
CB-REST Capability Required: resource:{resource_id}:delete
"""
try:
service = ResourceService(db)
# Get affected tenants before deletion
affected_tenants = await service.get_resource_tenants(resource_id)
# Archive resource
success = await service.archive_resource(resource_id)
if not success:
return format_error(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Resource {resource_id} not found",
capability_used=f"resource:{resource_id}:delete",
request_id=getattr(request.state, 'request_id', None)
)
return format_response(
data={
"archived": True,
"affected_tenants": len(affected_tenants)
},
capability_used=f"resource:{resource_id}:delete",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to delete resource {resource_id}: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used=f"resource:{resource_id}:delete",
request_id=getattr(request.state, 'request_id', None)
)
@router.post("/{resource_id}/health-check")
async def check_resource_health(
request: Request,
resource_id: int,
db: AsyncSession = Depends(get_db)
):
"""
Perform health check on a resource
CB-REST Capability Required: resource:{resource_id}:health
"""
try:
service = ResourceService(db)
# Perform health check
health_result = await service.perform_health_check(resource_id)
if not health_result:
return format_error(
code=ErrorCode.RESOURCE_NOT_FOUND,
message=f"Resource {resource_id} not found",
capability_used=f"resource:{resource_id}:health",
request_id=getattr(request.state, 'request_id', None)
)
return format_response(
data=health_result,
capability_used=f"resource:{resource_id}:health",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to check health for resource {resource_id}: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used=f"resource:{resource_id}:health",
request_id=getattr(request.state, 'request_id', None)
)
@router.get("/types")
async def get_resource_types(request: Request):
"""
Get all available resource types and their access groups
CB-REST Capability Required: resource:*:read
"""
try:
resource_types = {
"ai_ml": {
"name": "AI/ML Models",
"subtypes": ["llm", "embedding", "image_generation", "function_calling", "custom_model"],
"access_groups": ["ai_advanced", "ai_basic"]
},
"rag_engine": {
"name": "RAG Engines",
"subtypes": ["document_processor", "vector_database", "retrieval_strategy"],
"access_groups": ["knowledge_management", "document_processing"]
},
"agentic_workflow": {
"name": "Agentic Workflows",
"subtypes": ["single_agent", "multi_agent", "workflow_chain", "collaborative_agent"],
"access_groups": ["advanced_workflows", "automation"]
},
"app_integration": {
"name": "App Integrations",
"subtypes": ["communication_app", "development_app", "project_management_app", "database_connector"],
"access_groups": ["integration_tools", "development_tools"]
},
"external_service": {
"name": "External Web Services",
"subtypes": ["educational_service", "cybersecurity_service", "development_service", "remote_access_service"],
"access_groups": ["external_platforms", "remote_labs"]
},
"ai_literacy": {
"name": "AI Literacy & Cognitive Skills",
"subtypes": ["strategic_game", "logic_puzzle", "philosophical_dilemma", "educational_content"],
"access_groups": ["ai_literacy", "educational_tools"]
}
}
return format_response(
data={
"resource_types": resource_types,
"access_groups": list(set(
group
for rt in resource_types.values()
for group in rt["access_groups"]
))
},
capability_used="resource:*:read",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to get resource types: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used="resource:*:read",
request_id=getattr(request.state, 'request_id', None)
)
@router.post("/bulk/assign")
async def bulk_assign_resources(
request: Request,
assignment: BulkAssignRequest,
db: AsyncSession = Depends(get_db)
):
"""
Bulk assign resources to tenants
CB-REST Capability Required: resource:*:assign
"""
try:
service = ResourceService(db)
results = await service.bulk_assign_resources(
resource_ids=assignment.resource_ids,
tenant_ids=assignment.tenant_ids,
usage_limits=assignment.usage_limits,
custom_config=assignment.custom_config,
assigned_by=getattr(request.state, 'user_email', 'system')
)
return format_response(
data={
"operation_id": str(uuid.uuid4()),
"assigned": results["assigned"],
"failed": results["failed"]
},
capability_used="resource:*:assign",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to bulk assign resources: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used="resource:*:assign",
request_id=getattr(request.state, 'request_id', None)
)
@router.post("/bulk/health-check")
async def bulk_health_check(
request: Request,
resource_ids: List[int],
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db)
):
"""
Schedule health checks for multiple resources
CB-REST Capability Required: resource:*:health
"""
try:
service = ResourceService(db)
# Schedule health checks
for resource_id in resource_ids:
background_tasks.add_task(
service.perform_health_check,
resource_id
)
return format_response(
data={
"operation_id": str(uuid.uuid4()),
"scheduled_checks": len(resource_ids)
},
capability_used="resource:*:health",
request_id=getattr(request.state, 'request_id', None)
)
except Exception as e:
logger.error(f"Failed to schedule bulk health checks: {e}")
return format_error(
code=ErrorCode.SYSTEM_ERROR,
message="Internal server error",
capability_used="resource:*:health",
request_id=getattr(request.state, 'request_id', None)
)

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apps/control-panel-backend/app/api/v1/system.py Normal file
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"""
System Management API Endpoints
"""
import asyncio
import subprocess
import json
import shutil
import os
from datetime import datetime
from typing import List, Dict, Any, Optional
from fastapi import APIRouter, Depends, HTTPException, status, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, desc, text
from pydantic import BaseModel, Field
import structlog
from app.core.database import get_db
from app.core.auth import get_current_user
from app.models.user import User
from app.models.system import SystemVersion
from app.services.update_service import UpdateService
from app.services.backup_service import BackupService
logger = structlog.get_logger()
router = APIRouter(prefix="/api/v1/system", tags=["System Management"])
# Request/Response Models
class VersionResponse(BaseModel):
"""Response model for version information"""
version: str
installed_at: str
installed_by: Optional[str]
is_current: bool
git_commit: Optional[str]
class SystemInfoResponse(BaseModel):
"""Response model for system information"""
current_version: str
version: str = "" # Alias for frontend compatibility - will be set from current_version
installation_date: str
container_count: Optional[int] = None
database_status: str = "healthy"
class CheckUpdateResponse(BaseModel):
"""Response model for update check"""
update_available: bool
available: bool = False # Alias for frontend compatibility
current_version: str
latest_version: Optional[str]
update_type: Optional[str] = None # "major", "minor", or "patch"
release_notes: Optional[str]
published_at: Optional[str]
released_at: Optional[str] = None # Alias for frontend compatibility
download_url: Optional[str]
checked_at: str # Timestamp when the check was performed
class ValidationCheckResult(BaseModel):
"""Individual validation check result"""
name: str
passed: bool
message: str
details: Dict[str, Any] = {}
class ValidateUpdateResponse(BaseModel):
"""Response model for update validation"""
valid: bool
checks: List[ValidationCheckResult]
warnings: List[str] = []
errors: List[str] = []
class ValidateUpdateRequest(BaseModel):
"""Request model for validating an update"""
target_version: str = Field(..., description="Target version to validate")
class StartUpdateRequest(BaseModel):
"""Request model for starting an update"""
target_version: str = Field(..., description="Version to update to")
create_backup: bool = Field(default=True, description="Create backup before update")
class StartUpdateResponse(BaseModel):
"""Response model for starting an update"""
update_id: str
target_version: str
message: str = "Update initiated"
class UpdateStatusResponse(BaseModel):
"""Response model for update status"""
update_id: str
target_version: str
status: str
started_at: str
completed_at: Optional[str]
current_stage: Optional[str]
logs: List[Dict[str, Any]] = []
error_message: Optional[str]
backup_id: Optional[int]
class RollbackRequest(BaseModel):
"""Request model for rollback"""
reason: Optional[str] = Field(None, description="Reason for rollback")
class BackupResponse(BaseModel):
"""Response model for backup information"""
id: int
uuid: str
backup_type: str
created_at: str
size_mb: Optional[float] # Keep for backward compatibility
size: Optional[int] = None # Size in bytes for frontend
version: Optional[str]
description: Optional[str]
is_valid: bool
download_url: Optional[str] = None # Download URL if available
class CreateBackupRequest(BaseModel):
"""Request model for creating a backup"""
backup_type: str = Field(default="manual", description="Type of backup")
description: Optional[str] = Field(None, description="Backup description")
class RestoreBackupRequest(BaseModel):
"""Request model for restoring a backup"""
backup_id: str = Field(..., description="UUID of backup to restore")
components: Optional[List[str]] = Field(None, description="Components to restore")
class ContainerStatus(BaseModel):
"""Container status from Docker"""
name: str
cluster: str # "admin", "tenant", "resource"
state: str # "running", "exited", "paused"
health: str # "healthy", "unhealthy", "starting", "none"
uptime: str
ports: List[str] = []
class DatabaseStats(BaseModel):
"""PostgreSQL database statistics"""
connections_active: int
connections_max: int
cache_hit_ratio: float
database_size: str
transactions_committed: int
class ClusterSummary(BaseModel):
"""Cluster health summary"""
name: str
healthy: int
unhealthy: int
total: int
class SystemHealthDetailedResponse(BaseModel):
"""Detailed system health response"""
overall_status: str
containers: List[ContainerStatus]
clusters: List[ClusterSummary]
database: DatabaseStats
version: str
# Helper Functions
async def _get_container_status() -> List[ContainerStatus]:
"""Get container status from Docker Compose"""
try:
# Run docker compose ps with JSON format
process = await asyncio.create_subprocess_exec(
"docker", "compose", "ps", "--format", "json",
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
cwd="/Users/hackweasel/Documents/GT-2.0"
)
stdout, stderr = await process.communicate()
if process.returncode != 0:
logger.error("docker_compose_ps_failed", stderr=stderr.decode())
return []
# Parse JSON output (one JSON object per line)
containers = []
for line in stdout.decode().strip().split('\n'):
if not line:
continue
try:
container_data = json.loads(line)
name = container_data.get("Name", "")
state = container_data.get("State", "unknown")
health = container_data.get("Health", "none")
# Map container name to cluster
cluster = "unknown"
if "controlpanel" in name.lower():
cluster = "admin"
elif "tenant" in name.lower() and "controlpanel" not in name.lower():
cluster = "tenant"
elif "resource" in name.lower() or "vllm" in name.lower():
cluster = "resource"
# Extract ports
ports = []
publishers = container_data.get("Publishers", [])
if publishers:
for pub in publishers:
if pub.get("PublishedPort"):
ports.append(f"{pub.get('PublishedPort')}:{pub.get('TargetPort')}")
# Get uptime from status
status_text = container_data.get("Status", "")
uptime = status_text if status_text else "unknown"
containers.append(ContainerStatus(
name=name,
cluster=cluster,
state=state,
health=health if health else "none",
uptime=uptime,
ports=ports
))
except json.JSONDecodeError as e:
logger.warning("failed_to_parse_container_json", line=line, error=str(e))
continue
return containers
except Exception as e:
# Docker is not available inside the container - this is expected behavior
logger.debug("docker_not_available", error=str(e))
return []
async def _get_database_stats(db: AsyncSession) -> DatabaseStats:
"""Get PostgreSQL database statistics"""
try:
# Get connection and transaction stats
stats_query = text("""
SELECT
numbackends as active_connections,
xact_commit as transactions_committed,
ROUND(100.0 * blks_hit / NULLIF(blks_read + blks_hit, 0), 1) as cache_hit_ratio
FROM pg_stat_database
WHERE datname = current_database()
""")
stats_result = await db.execute(stats_query)
stats = stats_result.fetchone()
# Get database size
size_query = text("SELECT pg_size_pretty(pg_database_size(current_database()))")
size_result = await db.execute(size_query)
size = size_result.scalar()
# Get max connections
max_conn_query = text("SELECT current_setting('max_connections')::int")
max_conn_result = await db.execute(max_conn_query)
max_connections = max_conn_result.scalar()
return DatabaseStats(
connections_active=stats[0] if stats else 0,
connections_max=max_connections if max_connections else 100,
cache_hit_ratio=float(stats[2]) if stats and stats[2] else 0.0,
database_size=size if size else "0 bytes",
transactions_committed=stats[1] if stats else 0
)
except Exception as e:
logger.error("failed_to_get_database_stats", error=str(e))
# Return default stats on error
return DatabaseStats(
connections_active=0,
connections_max=100,
cache_hit_ratio=0.0,
database_size="unknown",
transactions_committed=0
)
def _aggregate_clusters(containers: List[ContainerStatus]) -> List[ClusterSummary]:
"""Aggregate container health by cluster"""
cluster_data = {}
for container in containers:
cluster_name = container.cluster
if cluster_name not in cluster_data:
cluster_data[cluster_name] = {"healthy": 0, "unhealthy": 0, "total": 0}
cluster_data[cluster_name]["total"] += 1
# Consider container healthy if running and health is healthy/none
if container.state == "running" and container.health in ["healthy", "none"]:
cluster_data[cluster_name]["healthy"] += 1
else:
cluster_data[cluster_name]["unhealthy"] += 1
# Convert to ClusterSummary objects
summaries = []
for cluster_name, data in cluster_data.items():
summaries.append(ClusterSummary(
name=cluster_name,
healthy=data["healthy"],
unhealthy=data["unhealthy"],
total=data["total"]
))
return summaries
# Dependency for admin-only access
async def require_admin(current_user: User = Depends(get_current_user)):
"""Ensure user is a super admin"""
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Administrator access required"
)
return current_user
# Version Endpoints
@router.get("/version", response_model=SystemInfoResponse)
async def get_system_version(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Get current system version and information"""
# Get current version
stmt = select(SystemVersion).where(
SystemVersion.is_current == True
).order_by(desc(SystemVersion.installed_at)).limit(1)
result = await db.execute(stmt)
current = result.scalar_one_or_none()
if not current:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="System version not found. Please run database migrations: alembic upgrade head"
)
return SystemInfoResponse(
current_version=current.version,
version=current.version, # Set version same as current_version for frontend compatibility
installation_date=current.installed_at.isoformat(),
database_status="healthy"
)
@router.get("/health-detailed", response_model=SystemHealthDetailedResponse)
async def get_detailed_health(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Get comprehensive system health with real container and database metrics"""
# Get current version
stmt = select(SystemVersion).where(
SystemVersion.is_current == True
).order_by(desc(SystemVersion.installed_at)).limit(1)
result = await db.execute(stmt)
current_version = result.scalar_one_or_none()
version_str = current_version.version if current_version else "unknown"
# Gather system metrics concurrently
containers = await _get_container_status()
database_stats = await _get_database_stats(db)
cluster_summaries = _aggregate_clusters(containers)
# Determine overall status
unhealthy_count = sum(cluster.unhealthy for cluster in cluster_summaries)
overall_status = "healthy" if unhealthy_count == 0 else "degraded"
return SystemHealthDetailedResponse(
overall_status=overall_status,
containers=containers,
clusters=cluster_summaries,
database=database_stats,
version=version_str
)
# Update Endpoints
@router.get("/check-update", response_model=CheckUpdateResponse)
async def check_for_updates(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Check for available system updates"""
service = UpdateService(db)
return await service.check_for_updates()
@router.post("/validate-update", response_model=ValidateUpdateResponse)
async def validate_update(
request: ValidateUpdateRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Run pre-update validation checks"""
service = UpdateService(db)
return await service.validate_update(request.target_version)
@router.post("/update", response_model=StartUpdateResponse)
async def start_update(
request: StartUpdateRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Start system update process"""
service = UpdateService(db)
update_id = await service.execute_update(
target_version=request.target_version,
create_backup=request.create_backup,
started_by=current_user.email
)
return StartUpdateResponse(
update_id=update_id,
target_version=request.target_version
)
@router.get("/update/{update_id}/status", response_model=UpdateStatusResponse)
async def get_update_status(
update_id: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Get status of an update job"""
service = UpdateService(db)
status_data = await service.get_update_status(update_id)
return UpdateStatusResponse(
update_id=status_data["uuid"],
target_version=status_data["target_version"],
status=status_data["status"],
started_at=status_data["started_at"],
completed_at=status_data.get("completed_at"),
current_stage=status_data.get("current_stage"),
logs=status_data.get("logs", []),
error_message=status_data.get("error_message"),
backup_id=status_data.get("backup_id")
)
@router.post("/update/{update_id}/rollback")
async def rollback_update(
update_id: str,
request: RollbackRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Rollback a failed update"""
service = UpdateService(db)
return await service.rollback(update_id, request.reason)
# Backup Endpoints
@router.get("/backups", response_model=Dict[str, Any])
async def list_backups(
limit: int = Query(default=50, ge=1, le=100),
offset: int = Query(default=0, ge=0),
backup_type: Optional[str] = Query(default=None, description="Filter by backup type"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""List available backups with storage information"""
service = BackupService(db)
backup_data = await service.list_backups(limit=limit, offset=offset, backup_type=backup_type)
# Add storage information
backup_dir = service.BACKUP_DIR
try:
# Create backup directory if it doesn't exist
os.makedirs(backup_dir, exist_ok=True)
disk_usage = shutil.disk_usage(backup_dir)
storage = {
"used": backup_data.get("storage_used", 0), # From service
"total": disk_usage.total,
"available": disk_usage.free
}
except Exception as e:
logger.debug("backup_dir_unavailable", error=str(e))
storage = {"used": 0, "total": 0, "available": 0}
backup_data["storage"] = storage
return backup_data
@router.post("/backups", response_model=BackupResponse)
async def create_backup(
request: CreateBackupRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Create a new system backup"""
service = BackupService(db)
backup_data = await service.create_backup(
backup_type=request.backup_type,
description=request.description,
created_by=current_user.email
)
return BackupResponse(
id=backup_data["id"],
uuid=backup_data["uuid"],
backup_type=backup_data["backup_type"],
created_at=backup_data["created_at"],
size_mb=backup_data.get("size_mb"),
size=backup_data.get("size"),
version=backup_data.get("version"),
description=backup_data.get("description"),
is_valid=backup_data["is_valid"],
download_url=backup_data.get("download_url")
)
@router.get("/backups/{backup_id}", response_model=BackupResponse)
async def get_backup(
backup_id: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Get details of a specific backup"""
service = BackupService(db)
backup_data = await service.get_backup(backup_id)
return BackupResponse(
id=backup_data["id"],
uuid=backup_data["uuid"],
backup_type=backup_data["backup_type"],
created_at=backup_data["created_at"],
size_mb=backup_data.get("size_mb"),
size=backup_data.get("size"),
version=backup_data.get("version"),
description=backup_data.get("description"),
is_valid=backup_data["is_valid"],
download_url=backup_data.get("download_url")
)
@router.delete("/backups/{backup_id}")
async def delete_backup(
backup_id: str,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Delete a backup"""
service = BackupService(db)
return await service.delete_backup(backup_id)
@router.post("/restore")
async def restore_backup(
request: RestoreBackupRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin)
):
"""Restore system from a backup"""
service = BackupService(db)
return await service.restore_backup(
backup_id=request.backup_id,
components=request.components
)

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apps/control-panel-backend/app/api/v1/templates.py Normal file
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"""
GT 2.0 Tenant Templates API
Manage and apply tenant configuration templates
"""
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, delete
from typing import List
from pydantic import BaseModel
from app.core.database import get_db
from app.models.tenant_template import TenantTemplate
from app.services.template_service import TemplateService
router = APIRouter(prefix="/api/v1/templates", tags=["templates"])
class CreateTemplateRequest(BaseModel):
tenant_id: int
name: str
description: str = ""
class ApplyTemplateRequest(BaseModel):
template_id: int
tenant_id: int
class TemplateResponse(BaseModel):
id: int
name: str
description: str
is_default: bool
resource_counts: dict
created_at: str
@router.get("/", response_model=List[TemplateResponse])
async def list_templates(
db: AsyncSession = Depends(get_db)
):
"""List all tenant templates"""
result = await db.execute(select(TenantTemplate).order_by(TenantTemplate.name))
templates = result.scalars().all()
return [TemplateResponse(**template.get_summary()) for template in templates]
@router.get("/{template_id}")
async def get_template(
template_id: int,
db: AsyncSession = Depends(get_db)
):
"""Get template details including full configuration"""
template = await db.get(TenantTemplate, template_id)
if not template:
raise HTTPException(status_code=404, detail="Template not found")
return template.to_dict()
@router.post("/export")
async def export_template(
request: CreateTemplateRequest,
db: AsyncSession = Depends(get_db)
):
"""Export existing tenant configuration as a new template"""
try:
service = TemplateService()
template = await service.export_tenant_as_template(
tenant_id=request.tenant_id,
template_name=request.name,
template_description=request.description,
control_panel_db=db
)
return {
"success": True,
"message": f"Template '{request.name}' created successfully",
"template": template.get_summary()
}
except ValueError as e:
raise HTTPException(status_code=404, detail=str(e))
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to export template: {str(e)}")
@router.post("/apply")
async def apply_template(
request: ApplyTemplateRequest,
db: AsyncSession = Depends(get_db)
):
"""Apply a template to an existing tenant"""
try:
service = TemplateService()
results = await service.apply_template(
template_id=request.template_id,
tenant_id=request.tenant_id,
control_panel_db=db
)
return {
"success": True,
"message": "Template applied successfully",
"results": results
}
except ValueError as e:
raise HTTPException(status_code=404, detail=str(e))
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to apply template: {str(e)}")
@router.delete("/{template_id}")
async def delete_template(
template_id: int,
db: AsyncSession = Depends(get_db)
):
"""Delete a template"""
template = await db.get(TenantTemplate, template_id)
if not template:
raise HTTPException(status_code=404, detail="Template not found")
await db.delete(template)
await db.commit()
return {
"success": True,
"message": f"Template '{template.name}' deleted successfully"
}

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"""
Tenant Model Management API for GT 2.0 Admin Control Panel
Provides endpoints for managing which models are available to which tenants,
with tenant-specific permissions and rate limits.
"""
from typing import Dict, Any, List, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel, Field
import logging
from app.core.database import get_db
from app.services.model_management_service import get_model_management_service
from app.models.tenant_model_config import TenantModelConfig
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/tenants", tags=["Tenant Model Management"])
# Request/Response Models
class TenantModelAssignRequest(BaseModel):
model_id: str = Field(..., description="Model ID to assign")
rate_limits: Optional[Dict[str, Any]] = Field(None, description="Custom rate limits")
capabilities: Optional[Dict[str, Any]] = Field(None, description="Tenant-specific capabilities")
usage_constraints: Optional[Dict[str, Any]] = Field(None, description="Usage restrictions")
priority: int = Field(1, ge=1, le=10, description="Priority level (1-10)")
model_config = {"protected_namespaces": ()}
class TenantModelUpdateRequest(BaseModel):
is_enabled: Optional[bool] = Field(None, description="Enable/disable model for tenant")
rate_limits: Optional[Dict[str, Any]] = Field(None, description="Updated rate limits")
tenant_capabilities: Optional[Dict[str, Any]] = Field(None, description="Updated capabilities")
usage_constraints: Optional[Dict[str, Any]] = Field(None, description="Updated usage restrictions")
priority: Optional[int] = Field(None, ge=1, le=10, description="Updated priority level")
class ModelAccessCheckRequest(BaseModel):
user_capabilities: Optional[List[str]] = Field(None, description="User capabilities")
user_id: Optional[str] = Field(None, description="User identifier")
class TenantModelResponse(BaseModel):
id: int
tenant_id: int
model_id: str
is_enabled: bool
tenant_capabilities: Dict[str, Any]
rate_limits: Dict[str, Any]
usage_constraints: Dict[str, Any]
priority: int
created_at: str
updated_at: str
class ModelWithTenantConfigResponse(BaseModel):
model_id: str
name: str
provider: str
model_type: str
endpoint: str
tenant_config: TenantModelResponse
@router.post("/{tenant_id}/models", response_model=TenantModelResponse)
async def assign_model_to_tenant(
tenant_id: int,
request: TenantModelAssignRequest,
db: AsyncSession = Depends(get_db)
):
"""Assign a model to a tenant with specific configuration"""
try:
service = get_model_management_service(db)
tenant_model_config = await service.assign_model_to_tenant(
tenant_id=tenant_id,
model_id=request.model_id,
rate_limits=request.rate_limits,
capabilities=request.capabilities,
usage_constraints=request.usage_constraints,
priority=request.priority
)
return TenantModelResponse(**tenant_model_config.to_dict())
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error(f"Error assigning model to tenant: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.delete("/{tenant_id}/models/{model_id:path}")
async def remove_model_from_tenant(
tenant_id: int,
model_id: str,
db: AsyncSession = Depends(get_db)
):
"""Remove model access from a tenant"""
try:
service = get_model_management_service(db)
success = await service.remove_model_from_tenant(tenant_id, model_id)
if not success:
raise HTTPException(status_code=404, detail="Model assignment not found")
return {"message": f"Model {model_id} removed from tenant {tenant_id}"}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error removing model from tenant: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.patch("/{tenant_id}/models/{model_id:path}", response_model=TenantModelResponse)
async def update_tenant_model_config(
tenant_id: int,
model_id: str,
request: TenantModelUpdateRequest,
db: AsyncSession = Depends(get_db)
):
"""Update tenant-specific model configuration"""
try:
service = get_model_management_service(db)
# Convert request to dict, excluding None values
updates = {k: v for k, v in request.dict().items() if v is not None}
tenant_model_config = await service.update_tenant_model_config(
tenant_id=tenant_id,
model_id=model_id,
updates=updates
)
if not tenant_model_config:
raise HTTPException(status_code=404, detail="Tenant model configuration not found")
return TenantModelResponse(**tenant_model_config.to_dict())
except HTTPException:
raise
except Exception as e:
logger.error(f"Error updating tenant model config: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/{tenant_id}/models", response_model=List[ModelWithTenantConfigResponse])
async def get_tenant_models(
tenant_id: int,
enabled_only: bool = Query(False, description="Only return enabled models"),
db: AsyncSession = Depends(get_db)
):
"""Get all models available to a tenant"""
try:
service = get_model_management_service(db)
models = await service.get_tenant_models(
tenant_id=tenant_id,
enabled_only=enabled_only
)
# Format response
response_models = []
for model in models:
tenant_config = model.pop("tenant_config")
response_models.append({
**model,
"tenant_config": TenantModelResponse(**tenant_config)
})
return response_models
except Exception as e:
logger.error(f"Error getting tenant models: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.post("/{tenant_id}/models/{model_id}/check-access")
async def check_tenant_model_access(
tenant_id: int,
model_id: str,
request: ModelAccessCheckRequest,
db: AsyncSession = Depends(get_db)
):
"""Check if a tenant/user can access a specific model"""
try:
service = get_model_management_service(db)
access_info = await service.check_tenant_model_access(
tenant_id=tenant_id,
model_id=model_id,
user_capabilities=request.user_capabilities,
user_id=request.user_id
)
return access_info
except Exception as e:
logger.error(f"Error checking tenant model access: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/{tenant_id}/models/stats")
async def get_tenant_model_stats(
tenant_id: int,
db: AsyncSession = Depends(get_db)
):
"""Get statistics about models for a tenant"""
try:
service = get_model_management_service(db)
stats = await service.get_tenant_model_stats(tenant_id)
return stats
except Exception as e:
logger.error(f"Error getting tenant model stats: {e}")
raise HTTPException(status_code=500, detail=str(e))
# Additional endpoints for model-centric views
@router.get("/models/{model_id:path}/tenants")
async def get_model_tenants(
model_id: str,
db: AsyncSession = Depends(get_db)
):
"""Get all tenants that have access to a model"""
try:
service = get_model_management_service(db)
tenants = await service.get_model_tenants(model_id)
return {
"model_id": model_id,
"tenants": tenants,
"total_tenants": len(tenants)
}
except Exception as e:
logger.error(f"Error getting model tenants: {e}")
raise HTTPException(status_code=500, detail=str(e))
# Global tenant model configuration endpoints
@router.get("/all")
async def get_all_tenant_model_configs(
db: AsyncSession = Depends(get_db)
):
"""Get all tenant model configurations with joined tenant and model data"""
try:
service = get_model_management_service(db)
# This would need to be implemented in the service
configs = await service.get_all_tenant_model_configs()
return configs
except Exception as e:
logger.error(f"Error getting all tenant model configs: {e}")
raise HTTPException(status_code=500, detail=str(e))
# Bulk operations
@router.post("/{tenant_id}/models/bulk-assign")
async def bulk_assign_models_to_tenant(
tenant_id: int,
model_ids: List[str],
default_config: Optional[TenantModelAssignRequest] = None,
db: AsyncSession = Depends(get_db)
):
"""Assign multiple models to a tenant with the same configuration"""
try:
service = get_model_management_service(db)
results = []
errors = []
for model_id in model_ids:
try:
config = default_config if default_config else TenantModelAssignRequest(model_id=model_id)
tenant_model_config = await service.assign_model_to_tenant(
tenant_id=tenant_id,
model_id=model_id,
rate_limits=config.rate_limits,
capabilities=config.capabilities,
usage_constraints=config.usage_constraints,
priority=config.priority
)
results.append({
"model_id": model_id,
"status": "success",
"config": tenant_model_config.to_dict()
})
except Exception as e:
errors.append({
"model_id": model_id,
"status": "error",
"error": str(e)
})
return {
"tenant_id": tenant_id,
"total_requested": len(model_ids),
"successful": len(results),
"failed": len(errors),
"results": results,
"errors": errors
}
except Exception as e:
logger.error(f"Error bulk assigning models: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.delete("/{tenant_id}/models/bulk-remove")
async def bulk_remove_models_from_tenant(
tenant_id: int,
model_ids: List[str],
db: AsyncSession = Depends(get_db)
):
"""Remove multiple models from a tenant"""
try:
service = get_model_management_service(db)
results = []
for model_id in model_ids:
try:
success = await service.remove_model_from_tenant(tenant_id, model_id)
results.append({
"model_id": model_id,
"status": "success" if success else "not_found",
"removed": success
})
except Exception as e:
results.append({
"model_id": model_id,
"status": "error",
"error": str(e)
})
successful = sum(1 for r in results if r["status"] == "success")
return {
"tenant_id": tenant_id,
"total_requested": len(model_ids),
"successful": successful,
"results": results
}
except Exception as e:
logger.error(f"Error bulk removing models: {e}")
raise HTTPException(status_code=500, detail=str(e))

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"""
Client modules for service-to-service communication
"""
from app.clients.resource_cluster_client import ResourceClusterClient, get_resource_cluster_client
__all__ = ["ResourceClusterClient", "get_resource_cluster_client"]

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"""
Resource Cluster Client for service-to-service communication.
Used by Control Panel to notify Resource Cluster of configuration changes
that require cache invalidation (e.g., API key changes).
"""
import logging
from typing import Optional
import httpx
from app.core.config import settings
logger = logging.getLogger(__name__)
class ResourceClusterClient:
"""Client for communicating with Resource Cluster internal APIs"""
def __init__(
self,
resource_cluster_url: str,
service_auth_token: str,
service_name: str = "control-panel-backend"
):
self.resource_cluster_url = resource_cluster_url.rstrip('/')
self.service_auth_token = service_auth_token
self.service_name = service_name
def _get_headers(self) -> dict:
"""Get headers for service-to-service authentication"""
return {
"X-Service-Auth": self.service_auth_token,
"X-Service-Name": self.service_name,
"Content-Type": "application/json"
}
async def invalidate_api_key_cache(
self,
tenant_domain: Optional[str] = None,
provider: Optional[str] = None
) -> bool:
"""
Notify Resource Cluster to invalidate API key cache.
Called when API keys are added, updated, disabled, or removed.
Args:
tenant_domain: If provided, only invalidate for this tenant
provider: If provided with tenant_domain, only invalidate this provider
Returns:
True if successful, False otherwise
"""
url = f"{self.resource_cluster_url}/internal/cache/api-keys/invalidate"
params = {}
if tenant_domain:
params["tenant_domain"] = tenant_domain
if provider:
params["provider"] = provider
try:
async with httpx.AsyncClient(timeout=5.0) as client:
response = await client.post(
url,
params=params,
headers=self._get_headers()
)
if response.status_code == 200:
logger.info(
f"Cache invalidation successful: tenant={tenant_domain}, provider={provider}"
)
return True
else:
logger.warning(
f"Cache invalidation failed: {response.status_code} - {response.text}"
)
return False
except httpx.RequestError as e:
# Don't fail the API key operation if cache invalidation fails
# The cache will expire naturally after TTL
logger.warning(f"Cache invalidation request failed (non-critical): {e}")
return False
except Exception as e:
logger.warning(f"Cache invalidation error (non-critical): {e}")
return False
# Singleton instance
_resource_cluster_client: Optional[ResourceClusterClient] = None
def get_resource_cluster_client() -> ResourceClusterClient:
"""Get or create the singleton Resource Cluster client"""
global _resource_cluster_client
if _resource_cluster_client is None:
# Use Docker service name for inter-container communication
resource_cluster_url = getattr(settings, 'RESOURCE_CLUSTER_URL', None) or "http://resource-cluster:8003"
service_auth_token = getattr(settings, 'SERVICE_AUTH_TOKEN', None) or "internal-service-token"
_resource_cluster_client = ResourceClusterClient(
resource_cluster_url=resource_cluster_url,
service_auth_token=service_auth_token,
service_name="control-panel-backend"
)
return _resource_cluster_client

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"""
GT 2.0 Control Panel Backend - CB-REST API Standards Integration
This module integrates the CB-REST standards into the Control Panel backend
"""
import os
import sys
from pathlib import Path
# Add the api-standards package to the path
api_standards_path = Path(__file__).parent.parent.parent.parent.parent / "packages" / "api-standards" / "src"
if api_standards_path.exists():
sys.path.insert(0, str(api_standards_path))
# Import CB-REST standards
try:
from response import StandardResponse, format_response, format_error
from capability import (
init_capability_verifier,
verify_capability,
require_capability,
Capability,
CapabilityToken
)
from errors import ErrorCode, APIError, raise_api_error
from middleware import (
RequestCorrelationMiddleware,
CapabilityMiddleware,
TenantIsolationMiddleware,
RateLimitMiddleware
)
except ImportError as e:
# Fallback for development - create minimal implementations
print(f"Warning: Could not import api-standards package: {e}")
# Create minimal implementations for development
class StandardResponse:
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
def format_response(data, capability_used, request_id=None):
return {
"data": data,
"error": None,
"capability_used": capability_used,
"request_id": request_id or "dev-mode"
}
def format_error(code, message, capability_used="none", **kwargs):
return {
"data": None,
"error": {
"code": code,
"message": message,
**kwargs
},
"capability_used": capability_used,
"request_id": kwargs.get("request_id", "dev-mode")
}
class ErrorCode:
CAPABILITY_INSUFFICIENT = "CAPABILITY_INSUFFICIENT"
RESOURCE_NOT_FOUND = "RESOURCE_NOT_FOUND"
INVALID_REQUEST = "INVALID_REQUEST"
SYSTEM_ERROR = "SYSTEM_ERROR"
class APIError(Exception):
def __init__(self, code, message, **kwargs):
self.code = code
self.message = message
self.kwargs = kwargs
super().__init__(message)
# Export all CB-REST components
__all__ = [
'StandardResponse',
'format_response',
'format_error',
'init_capability_verifier',
'verify_capability',
'require_capability',
'Capability',
'CapabilityToken',
'ErrorCode',
'APIError',
'raise_api_error',
'RequestCorrelationMiddleware',
'CapabilityMiddleware',
'TenantIsolationMiddleware',
'RateLimitMiddleware'
]
def setup_api_standards(app, secret_key: str):
"""
Setup CB-REST API standards for the application
Args:
app: FastAPI application instance
secret_key: Secret key for JWT signing
"""
# Initialize capability verifier
if 'init_capability_verifier' in globals():
init_capability_verifier(secret_key)
# Add middleware in correct order
if 'RequestCorrelationMiddleware' in globals():
app.add_middleware(RequestCorrelationMiddleware)
if 'RateLimitMiddleware' in globals():
app.add_middleware(
RateLimitMiddleware,
requests_per_minute=100 # Adjust based on your needs
)
if 'TenantIsolationMiddleware' in globals():
app.add_middleware(
TenantIsolationMiddleware,
enforce_isolation=True
)
if 'CapabilityMiddleware' in globals():
app.add_middleware(
CapabilityMiddleware,
exclude_paths=["/health", "/ready", "/metrics", "/docs", "/redoc", "/api/v1/auth/login"]
)

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"""
Authentication and authorization utilities
"""
import jwt
from datetime import datetime, timedelta, timezone
from typing import Optional, Dict, Any
from fastapi import HTTPException, Security, Depends, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from app.core.config import settings
from app.core.database import get_db
from app.models.user import User
security = HTTPBearer()
class JWTHandler:
"""JWT token handler"""
@staticmethod
def create_access_token(
user_id: int,
user_email: str,
user_type: str,
current_tenant: Optional[dict] = None,
available_tenants: Optional[list] = None,
capabilities: Optional[list] = None,
# For token refresh: preserve original login time and absolute expiry
original_iat: Optional[datetime] = None,
original_absolute_exp: Optional[float] = None,
# Server-side session token (Issue #264)
session_token: Optional[str] = None
) -> str:
"""Create a JWT access token with tenant context
NIST SP 800-63B AAL2 Compliant Session Management (Issues #242, #264):
- exp: 12 hours (matches absolute timeout) - serves as JWT-level backstop
- absolute_exp: Absolute timeout (12 hours) - NOT refreshable, forces re-login
- iat: Original login time - preserved across token refreshes
- session_id: Server-side session token for authoritative validation
The server-side session (via SessionService) enforces the 30-minute idle timeout
by tracking last_activity_at. JWT exp is set to 12 hours so it doesn't block
requests before the server-side session validation can check activity-based idle timeout.
"""
now = datetime.now(timezone.utc)
# Use original iat if refreshing, otherwise current time (new login)
iat = original_iat if original_iat else now
# Calculate absolute expiry: iat + absolute timeout hours (only set on initial login)
if original_absolute_exp is not None:
absolute_exp = original_absolute_exp
else:
absolute_exp = (iat + timedelta(hours=settings.JWT_ABSOLUTE_TIMEOUT_HOURS)).timestamp()
payload = {
"sub": str(user_id),
"email": user_email,
"user_type": user_type,
# Current tenant context (most important)
"current_tenant": current_tenant or {},
# Available tenants for switching
"available_tenants": available_tenants or [],
# Base capabilities (rarely used - tenant-specific capabilities are in current_tenant)
"capabilities": capabilities or [],
# NIST/OWASP Session Timeouts (Issues #242, #264)
# exp: Idle timeout - 4 hours from now (refreshable)
"exp": now + timedelta(minutes=settings.JWT_EXPIRES_MINUTES),
# iat: Original login time (preserved across refreshes)
"iat": iat,
# absolute_exp: Absolute timeout from original login (NOT refreshable)
"absolute_exp": absolute_exp,
# session_id: Server-side session token for authoritative validation (Issue #264)
# The server-side session is the source of truth - JWT expiry is secondary
"session_id": session_token
}
# Use HS256 with JWT_SECRET from settings (auto-generated by installer)
return jwt.encode(payload, settings.JWT_SECRET, algorithm=settings.JWT_ALGORITHM)
@staticmethod
def decode_token(token: str) -> Dict[str, Any]:
"""Decode and validate a JWT token"""
try:
# Use HS256 with JWT_SECRET from settings (auto-generated by installer)
payload = jwt.decode(token, settings.JWT_SECRET, algorithms=[settings.JWT_ALGORITHM])
return payload
except jwt.ExpiredSignatureError:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Token has expired"
)
except jwt.InvalidTokenError:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid token"
)
async def get_current_user(
credentials: HTTPAuthorizationCredentials = Security(security),
db: AsyncSession = Depends(get_db)
) -> User:
"""Get the current authenticated user"""
token = credentials.credentials
payload = JWTHandler.decode_token(token)
user_id = int(payload["sub"])
# Get user from database
result = await db.execute(
select(User).where(User.id == user_id)
)
user = result.scalar_one_or_none()
if not user:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="User not found"
)
if not user.is_active:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="User account is inactive"
)
return user
async def require_admin(current_user: User = Depends(get_current_user)) -> User:
"""Require the current user to be a super admin (control panel access)"""
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Super admin access required"
)
return current_user
async def require_super_admin(current_user: User = Depends(get_current_user)) -> User:
"""Require the current user to be a super admin"""
if current_user.user_type != "super_admin":
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Super admin access required"
)
return current_user

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"""
Configuration settings for GT 2.0 Control Panel Backend
"""
import os
from typing import List, Optional
from pydantic_settings import BaseSettings
from pydantic import Field, validator
class Settings(BaseSettings):
"""Application settings"""
# Application
DEBUG: bool = Field(default=False, env="DEBUG")
ENVIRONMENT: str = Field(default="development", env="ENVIRONMENT")
SECRET_KEY: str = Field(default="PRODUCTION_SECRET_KEY_REQUIRED", env="SECRET_KEY")
ALLOWED_ORIGINS: List[str] = Field(
default=["http://localhost:3000", "http://localhost:3001"],
env="ALLOWED_ORIGINS"
)
# Database (PostgreSQL direct connection)
DATABASE_URL: str = Field(
default="postgresql+asyncpg://postgres:gt2_admin_dev_password@postgres:5432/gt2_admin",
env="DATABASE_URL"
)
# Redis removed - PostgreSQL handles all session and caching needs
# MinIO removed - PostgreSQL handles all file storage
# Kubernetes
KUBERNETES_IN_CLUSTER: bool = Field(default=False, env="KUBERNETES_IN_CLUSTER")
KUBECONFIG_PATH: Optional[str] = Field(default=None, env="KUBECONFIG_PATH")
# ChromaDB
CHROMADB_HOST: str = Field(default="localhost", env="CHROMADB_HOST")
CHROMADB_PORT: int = Field(default=8000, env="CHROMADB_PORT")
CHROMADB_AUTH_USER: str = Field(default="admin", env="CHROMADB_AUTH_USER")
CHROMADB_AUTH_PASSWORD: str = Field(default="dev_chroma_password", env="CHROMADB_AUTH_PASSWORD")
# Dremio SQL Federation
DREMIO_URL: Optional[str] = Field(default="http://dremio:9047", env="DREMIO_URL")
DREMIO_USERNAME: Optional[str] = Field(default="admin", env="DREMIO_USERNAME")
DREMIO_PASSWORD: Optional[str] = Field(default="admin123", env="DREMIO_PASSWORD")
# Service Authentication
SERVICE_AUTH_TOKEN: Optional[str] = Field(default="internal-service-token", env="SERVICE_AUTH_TOKEN")
# JWT - NIST/OWASP Compliant Session Timeouts (Issue #242)
JWT_SECRET: str = Field(default="dev-jwt-secret-change-in-production-32-chars-minimum", env="JWT_SECRET")
JWT_ALGORITHM: str = Field(default="HS256", env="JWT_ALGORITHM")
# JWT expiration: 12 hours (matches absolute timeout) - NIST SP 800-63B AAL2 compliant
# Server-side session enforces 30-minute idle timeout via last_activity_at tracking
# JWT exp serves as backstop - prevents tokens from being valid beyond absolute limit
JWT_EXPIRES_MINUTES: int = Field(default=720, env="JWT_EXPIRES_MINUTES")
# Absolute timeout: 12 hours - NIST SP 800-63B AAL2 maximum session duration
JWT_ABSOLUTE_TIMEOUT_HOURS: int = Field(default=12, env="JWT_ABSOLUTE_TIMEOUT_HOURS")
# Legacy support (deprecated - use JWT_EXPIRES_MINUTES instead)
JWT_EXPIRES_HOURS: int = Field(default=4, env="JWT_EXPIRES_HOURS")
# Aliases for compatibility
@property
def secret_key(self) -> str:
return self.JWT_SECRET
@property
def algorithm(self) -> str:
return self.JWT_ALGORITHM
# Encryption
MASTER_ENCRYPTION_KEY: str = Field(
default="dev-master-key-change-in-production-must-be-32-bytes-long",
env="MASTER_ENCRYPTION_KEY"
)
# Tenant Settings
TENANT_DATA_DIR: str = Field(default="/data", env="TENANT_DATA_DIR")
DEFAULT_TENANT_TEMPLATE: str = Field(default="basic", env="DEFAULT_TENANT_TEMPLATE")
# External AI Services
GROQ_API_KEY: Optional[str] = Field(default=None, env="GROQ_API_KEY")
GROQ_BASE_URL: str = Field(default="https://api.groq.com/openai/v1", env="GROQ_BASE_URL")
# Resource Cluster
RESOURCE_CLUSTER_URL: str = Field(default="http://localhost:8003", env="RESOURCE_CLUSTER_URL")
# Logging
LOG_LEVEL: str = Field(default="INFO", env="LOG_LEVEL")
# RabbitMQ (for message bus)
RABBITMQ_URL: str = Field(
default="amqp://admin:dev_rabbitmq_password@localhost:5672/gt2",
env="RABBITMQ_URL"
)
MESSAGE_BUS_SECRET_KEY: str = Field(
default="PRODUCTION_MESSAGE_BUS_SECRET_REQUIRED",
env="MESSAGE_BUS_SECRET_KEY"
)
# Celery (for background tasks) - Using PostgreSQL instead of Redis
CELERY_BROKER_URL: str = Field(
default="db+postgresql://gt2_admin:dev_password_change_in_prod@postgres:5432/gt2_control_panel",
env="CELERY_BROKER_URL"
)
CELERY_RESULT_BACKEND: str = Field(
default="db+postgresql://gt2_admin:dev_password_change_in_prod@postgres:5432/gt2_control_panel",
env="CELERY_RESULT_BACKEND"
)
@validator('ALLOWED_ORIGINS', pre=True)
def parse_cors_origins(cls, v):
if isinstance(v, str):
return [origin.strip() for origin in v.split(',')]
return v
@validator('MASTER_ENCRYPTION_KEY')
def validate_encryption_key_length(cls, v):
if len(v) < 32:
raise ValueError('Master encryption key must be at least 32 characters long')
return v
class Config:
env_file = ".env"
env_file_encoding = "utf-8"
case_sensitive = True
# Global settings instance
settings = Settings()
def get_settings() -> Settings:
"""Get the global settings instance"""
return settings
# Environment-specific configurations
if settings.ENVIRONMENT == "production":
# Production settings
# Validation checks removed for flexibility
pass
else:
# Development/Test settings
import logging
logging.basicConfig(level=getattr(logging, settings.LOG_LEVEL.upper()))

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"""
Database configuration and utilities for GT 2.0 Control Panel
"""
import asyncio
from contextlib import asynccontextmanager, contextmanager
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy import create_engine
from sqlalchemy.orm import DeclarativeBase, sessionmaker, Session
from sqlalchemy.pool import StaticPool
import structlog
from app.core.config import settings
logger = structlog.get_logger()
# Create async engine
engine = create_async_engine(
settings.DATABASE_URL,
echo=settings.DEBUG,
future=True,
pool_pre_ping=True,
pool_size=10,
max_overflow=20
)
# Create sync engine for session management (Issue #264)
# Uses psycopg2 instead of asyncpg for sync operations
sync_database_url = settings.DATABASE_URL.replace("+asyncpg", "").replace("postgresql://", "postgresql+psycopg2://")
if "+psycopg2" not in sync_database_url:
sync_database_url = sync_database_url.replace("postgresql://", "postgresql+psycopg2://")
sync_engine = create_engine(
sync_database_url,
echo=settings.DEBUG,
pool_pre_ping=True,
pool_size=5,
max_overflow=10
)
# Create session makers
async_session_maker = async_sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False
)
sync_session_maker = sessionmaker(
sync_engine,
class_=Session,
expire_on_commit=False
)
class Base(DeclarativeBase):
"""Base class for all database models"""
pass
@asynccontextmanager
async def get_db_session():
"""Get database session context manager"""
async with async_session_maker() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
finally:
await session.close()
async def get_db():
"""Dependency for getting async database session"""
async with get_db_session() as session:
yield session
@contextmanager
def get_sync_db_session():
"""Get synchronous database session context manager (for session management)"""
session = sync_session_maker()
try:
yield session
session.commit()
except Exception:
session.rollback()
raise
finally:
session.close()
def get_sync_db():
"""Dependency for getting synchronous database session (for session management)"""
with get_sync_db_session() as session:
yield session
async def init_db():
"""Initialize database tables"""
try:
# Import all models to ensure they're registered
from app.models import tenant, user, ai_resource, usage, audit, model_config, tenant_model_config
async with engine.begin() as conn:
# Create all tables
await conn.run_sync(Base.metadata.create_all)
logger.info("Database tables created successfully")
except Exception as e:
logger.error("Failed to initialize database", error=str(e))
raise
async def check_db_connection():
"""Check database connection health"""
try:
async with get_db_session() as session:
await session.execute("SELECT 1")
return True
except Exception as e:
logger.error("Database connection check failed", error=str(e))
return False
def create_database_url(
username: str,
password: str,
host: str,
port: int,
database: str,
driver: str = "postgresql+asyncpg"
) -> str:
"""Create database URL from components"""
return f"{driver}://{username}:{password}@{host}:{port}/{database}"

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"""
Email Service for GT 2.0
SMTP integration using Brevo (formerly Sendinblue) for transactional emails.
Supported email types:
- Budget alert emails (FR #257)
"""
import os
import smtplib
from email.mime.text import MIMEText
from typing import Optional, List
import structlog
logger = structlog.get_logger()
def get_smtp_config() -> dict:
"""Get SMTP configuration from environment"""
return {
'host': os.getenv('SMTP_HOST', 'smtp-relay.brevo.com'),
'port': int(os.getenv('SMTP_PORT', '587')),
'username': os.getenv('SMTP_USERNAME'), # Brevo SMTP username (usually your email)
'password': os.getenv('SMTP_PASSWORD'), # Brevo SMTP password (from SMTP settings)
'from_email': os.getenv('SMTP_FROM_EMAIL', 'noreply@gt2.com'),
'from_name': os.getenv('SMTP_FROM_NAME', 'GT 2.0 Platform'),
'use_tls': os.getenv('SMTP_USE_TLS', 'true').lower() == 'true'
}

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"""
Two-Factor Authentication utilities for GT 2.0
Handles TOTP generation, verification, QR code generation, and secret encryption.
"""
import os
import pyotp
import qrcode
import qrcode.image.pil
import io
import base64
from typing import Optional, Tuple
from cryptography.fernet import Fernet
import structlog
logger = structlog.get_logger()
# Get encryption key from environment
TFA_ENCRYPTION_KEY = os.getenv("TFA_ENCRYPTION_KEY")
TFA_ISSUER_NAME = os.getenv("TFA_ISSUER_NAME", "GT 2.0 Enterprise AI")
class TFAManager:
"""Manager for Two-Factor Authentication operations"""
def __init__(self):
if not TFA_ENCRYPTION_KEY:
raise ValueError("TFA_ENCRYPTION_KEY environment variable must be set")
# Initialize Fernet cipher for encryption
self.cipher = Fernet(TFA_ENCRYPTION_KEY.encode())
def generate_secret(self) -> str:
"""Generate a new TOTP secret (32-byte base32)"""
secret = pyotp.random_base32()
logger.info("Generated new TOTP secret")
return secret
def encrypt_secret(self, secret: str) -> str:
"""Encrypt TOTP secret using Fernet"""
try:
encrypted = self.cipher.encrypt(secret.encode())
return encrypted.decode()
except Exception as e:
logger.error("Failed to encrypt TFA secret", error=str(e))
raise
def decrypt_secret(self, encrypted_secret: str) -> str:
"""Decrypt TOTP secret using Fernet"""
try:
decrypted = self.cipher.decrypt(encrypted_secret.encode())
return decrypted.decode()
except Exception as e:
logger.error("Failed to decrypt TFA secret", error=str(e))
raise
def generate_qr_code_uri(self, secret: str, email: str, tenant_name: str) -> str:
"""
Generate otpauth:// URI for QR code scanning
Args:
secret: TOTP secret (unencrypted)
email: User's email address
tenant_name: Tenant name for issuer branding (required, no fallback)
Returns:
otpauth:// URI string
"""
issuer = f"{tenant_name} - GT AI OS"
totp = pyotp.TOTP(secret)
uri = totp.provisioning_uri(name=email, issuer_name=issuer)
logger.info("Generated QR code URI", email=email, issuer=issuer, tenant_name=tenant_name)
return uri
def generate_qr_code_image(self, uri: str) -> str:
"""
Generate base64-encoded QR code image from URI
Args:
uri: otpauth:// URI
Returns:
Base64-encoded PNG image data (data:image/png;base64,...)
"""
try:
# Create QR code with PIL image factory
qr = qrcode.QRCode(
version=1,
error_correction=qrcode.constants.ERROR_CORRECT_L,
box_size=10,
border=4,
image_factory=qrcode.image.pil.PilImage,
)
qr.add_data(uri)
qr.make(fit=True)
# Create image using PIL
img = qr.make_image(fill_color="black", back_color="white")
# Convert to base64
buffer = io.BytesIO()
img.save(buffer, format='PNG')
img_str = base64.b64encode(buffer.getvalue()).decode()
return f"data:image/png;base64,{img_str}"
except Exception as e:
logger.error("Failed to generate QR code image", error=str(e))
raise
def verify_totp(self, secret: str, code: str, window: int = 1) -> bool:
"""
Verify TOTP code with time window tolerance
Args:
secret: TOTP secret (unencrypted)
code: 6-digit code from user
window: Time window tolerance (±30 seconds per window, default=1)
Returns:
True if code is valid, False otherwise
"""
try:
totp = pyotp.TOTP(secret)
is_valid = totp.verify(code, valid_window=window)
if is_valid:
logger.info("TOTP verification successful")
else:
logger.warning("TOTP verification failed")
return is_valid
except Exception as e:
logger.error("TOTP verification error", error=str(e))
return False
def get_current_code(self, secret: str) -> str:
"""
Get current TOTP code (for testing/debugging only)
Args:
secret: TOTP secret (unencrypted)
Returns:
Current 6-digit TOTP code
"""
totp = pyotp.TOTP(secret)
return totp.now()
def setup_new_tfa(self, email: str, tenant_name: str) -> Tuple[str, str, str]:
"""
Complete setup for new TFA: generate secret, encrypt, create QR code
Args:
email: User's email address
tenant_name: Tenant name for QR code issuer (required, no fallback)
Returns:
Tuple of (encrypted_secret, qr_code_image, manual_entry_key)
"""
# Generate secret
secret = self.generate_secret()
# Encrypt for storage
encrypted_secret = self.encrypt_secret(secret)
# Generate QR code URI with tenant branding
qr_code_uri = self.generate_qr_code_uri(secret, email, tenant_name)
# Generate QR code image (base64-encoded PNG for display in <img> tag)
qr_code_image = self.generate_qr_code_image(qr_code_uri)
# Manual entry key (formatted for easier typing)
manual_entry_key = ' '.join([secret[i:i+4] for i in range(0, len(secret), 4)])
logger.info("TFA setup completed", email=email, tenant_name=tenant_name)
return encrypted_secret, qr_code_image, manual_entry_key
# Singleton instance
_tfa_manager: Optional[TFAManager] = None
def get_tfa_manager() -> TFAManager:
"""Get singleton TFAManager instance"""
global _tfa_manager
if _tfa_manager is None:
_tfa_manager = TFAManager()
return _tfa_manager

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"""
GT 2.0 Control Panel Backend - FastAPI Application
"""
import warnings
# Suppress passlib's bcrypt version detection warning (cosmetic only, doesn't affect functionality)
# passlib 1.7.4 tries to read bcrypt.__about__.__version__ which was removed in bcrypt 4.1.x
warnings.filterwarnings("ignore", message=".*module 'bcrypt' has no attribute '__about__'.*")
import logging
import structlog
from contextlib import asynccontextmanager
from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
import time
from app.core.config import settings
from app.core.database import engine, init_db
from app.core.api_standards import setup_api_standards
from app.api import auth, resources, tenants, users, tfa, public
from app.api.v1 import api_keys, analytics, resource_management, models, tenant_models, templates, system
from app.api.internal import api_keys as internal_api_keys
from app.api.internal import optics as internal_optics
from app.api.internal import sessions as internal_sessions
from app.middleware.session_validation import SessionValidationMiddleware
# Configure structured logging
structlog.configure(
processors=[
structlog.stdlib.filter_by_level,
structlog.stdlib.add_logger_name,
structlog.stdlib.add_log_level,
structlog.stdlib.PositionalArgumentsFormatter(),
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.StackInfoRenderer(),
structlog.processors.format_exc_info,
structlog.processors.UnicodeDecoder(),
structlog.processors.JSONRenderer()
],
context_class=dict,
logger_factory=structlog.stdlib.LoggerFactory(),
wrapper_class=structlog.stdlib.BoundLogger,
cache_logger_on_first_use=True,
)
logger = structlog.get_logger()
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan events"""
# Startup
logger.info("Starting GT 2.0 Control Panel Backend")
# Initialize database
await init_db()
logger.info("Database initialized")
yield
# Shutdown
logger.info("Shutting down GT 2.0 Control Panel Backend")
# Create FastAPI application
app = FastAPI(
title="GT 2.0 Control Panel API",
description="Enterprise AI as a Service Platform - Control Panel Backend",
version="1.0.0",
docs_url="/docs" if settings.ENVIRONMENT != "production" else None,
redoc_url="/redoc" if settings.ENVIRONMENT != "production" else None,
lifespan=lifespan
)
# Setup CB-REST API standards (adds middleware)
setup_api_standards(app, settings.SECRET_KEY)
# Add CORS middleware (must be added after CB-REST middleware)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.ALLOWED_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
expose_headers=["X-Session-Warning", "X-Session-Expired"], # Issue #264: Expose session headers to frontend
)
# Add session validation middleware (Issue #264: OWASP/NIST compliant session management)
app.add_middleware(SessionValidationMiddleware)
# Security headers middleware (production only)
@app.middleware("http")
async def security_headers_middleware(request: Request, call_next):
response = await call_next(request)
if settings.ENVIRONMENT == "production":
response.headers["Strict-Transport-Security"] = "max-age=31536000; includeSubDomains"
response.headers["X-Frame-Options"] = "DENY"
response.headers["X-Content-Type-Options"] = "nosniff"
response.headers["Referrer-Policy"] = "strict-origin-when-cross-origin"
return response
# Middleware for request logging
@app.middleware("http")
async def logging_middleware(request: Request, call_next):
start_time = time.time()
# Process request
response = await call_next(request)
# Calculate duration
duration = time.time() - start_time
# Log request
logger.info(
"Request processed",
method=request.method,
path=request.url.path,
status_code=response.status_code,
duration=duration,
user_agent=request.headers.get("user-agent"),
client_ip=request.client.host if request.client else None
)
return response
# Global exception handler
@app.exception_handler(Exception)
async def global_exception_handler(request: Request, exc: Exception):
logger.error(
"Unhandled exception",
path=request.url.path,
method=request.method,
error=str(exc),
exc_info=True
)
return JSONResponse(
status_code=500,
content={
"success": False,
"error": {
"code": "INTERNAL_ERROR",
"message": "Internal server error"
}
}
)
# Health check endpoints
@app.get("/health")
async def health_check():
"""Health check endpoint"""
return {"status": "healthy", "service": "gt2-control-panel-backend"}
@app.get("/ready")
async def readiness_check():
"""Readiness check endpoint"""
try:
# Check database connection
from app.core.database import get_db_session
async with get_db_session() as session:
await session.execute("SELECT 1")
return {"status": "ready", "service": "gt2-control-panel-backend"}
except Exception as e:
logger.error("Readiness check failed", error=str(e))
return JSONResponse(
status_code=503,
content={"status": "not ready", "error": "Database connection failed"}
)
# Include API routers
app.include_router(auth.router, prefix="/api/v1", tags=["Authentication"])
app.include_router(tfa.router, prefix="/api/v1", tags=["Two-Factor Authentication"])
app.include_router(public.router, prefix="/api/v1", tags=["Public"])
app.include_router(tenants.router, prefix="/api/v1", tags=["Tenants"])
app.include_router(users.router, prefix="/api/v1", tags=["Users"])
app.include_router(resources.router, prefix="/api/v1", tags=["AI Resources"])
# V1 API routes
app.include_router(api_keys.router, tags=["API Keys"])
app.include_router(analytics.router, tags=["Analytics"])
app.include_router(resource_management.router, prefix="/api/v1", tags=["Resource Management"])
app.include_router(models.router, prefix="/api/v1", tags=["Model Management"])
app.include_router(tenant_models.router, prefix="/api/v1", tags=["Tenant Model Management"])
app.include_router(tenant_models.router, prefix="/api/v1/tenant-models", tags=["Tenant Model Access"])
app.include_router(templates.router, tags=["Templates"])
app.include_router(system.router, tags=["System Management"])
# Internal service-to-service routes
app.include_router(internal_api_keys.router, tags=["Internal"])
app.include_router(internal_optics.router, tags=["Internal"])
app.include_router(internal_sessions.router, tags=["Internal"])
if __name__ == "__main__":
import uvicorn
uvicorn.run(
"app.main:app",
host="0.0.0.0",
port=8001,
reload=settings.DEBUG,
log_level="info"
)

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# Control Panel Backend Middleware

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"""
GT 2.0 Control Panel Session Validation Middleware
OWASP/NIST Compliant Server-Side Session Validation (Issue #264)
- Validates session_id from JWT against server-side session state
- Updates session activity on every authenticated request
- Adds X-Session-Warning header when < 5 minutes remaining
- Returns 401 with X-Session-Expired header when session is invalid
"""
from fastapi import Request
from fastapi.responses import JSONResponse
from starlette.middleware.base import BaseHTTPMiddleware
import jwt
import logging
from app.core.config import settings
from app.core.database import sync_session_maker
from app.services.session_service import SessionService
logger = logging.getLogger(__name__)
class SessionValidationMiddleware(BaseHTTPMiddleware):
"""
Middleware to validate server-side sessions on every authenticated request.
The server-side session is the authoritative source of truth for session validity.
JWT expiration is secondary - the session can expire before the JWT does.
Response Headers:
- X-Session-Warning: <seconds> - Added when session is about to expire
- X-Session-Expired: idle|absolute - Added on 401 when session expired
"""
# Paths that don't require session validation
SKIP_PATHS = [
"/health",
"/ready",
"/docs",
"/openapi.json",
"/redoc",
"/api/v1/login",
"/api/v1/logout",
"/api/auth/password-reset",
"/api/auth/request-reset",
"/api/auth/verify-reset-token",
"/api/v1/public",
"/api/v1/tfa/verify-login",
"/api/v1/tfa/session-data",
"/api/v1/tfa/session-qr-code",
"/internal/", # Internal service-to-service calls
]
async def dispatch(self, request: Request, call_next):
"""Process request and validate server-side session"""
# Skip session validation for public endpoints
path = request.url.path
if any(path.startswith(skip) for skip in self.SKIP_PATHS):
return await call_next(request)
# Extract JWT from Authorization header
auth_header = request.headers.get("Authorization")
if not auth_header or not auth_header.startswith("Bearer "):
return await call_next(request)
token = auth_header.split(" ")[1]
# Decode JWT to get session_id (without verification - that's done elsewhere)
try:
# We just need to extract the session_id claim
# Full JWT verification happens in the auth dependency
payload = jwt.decode(token, options={"verify_signature": False})
session_token = payload.get("session_id")
except jwt.InvalidTokenError:
# Let the normal auth flow handle invalid tokens
return await call_next(request)
# If no session_id in JWT, skip session validation (backwards compatibility)
# This allows old tokens without session_id to work until they expire
if not session_token:
logger.debug("No session_id in JWT, skipping server-side validation")
return await call_next(request)
# Validate session directly (we're in the control panel backend)
db = sync_session_maker()
try:
session_service = SessionService(db)
is_valid, expiry_reason, seconds_remaining, session_info = session_service.validate_session(
session_token
)
if not is_valid:
# Session is invalid - return 401 with expiry reason
logger.info(f"Session expired: {expiry_reason}")
return JSONResponse(
status_code=401,
content={
"detail": f"Session expired ({expiry_reason})",
"code": "SESSION_EXPIRED",
"expiry_reason": expiry_reason
},
headers={"X-Session-Expired": expiry_reason or "unknown"}
)
# Update session activity
session_service.update_activity(session_token)
# Check if we should show warning
show_warning = session_service.should_show_warning(seconds_remaining) if seconds_remaining else False
finally:
db.close()
# Session is valid - process request
response = await call_next(request)
# Add warning header if session is about to expire
if show_warning and seconds_remaining:
response.headers["X-Session-Warning"] = str(seconds_remaining)
logger.debug(f"Session warning: {seconds_remaining}s remaining")
return response

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"""
Database models for GT 2.0 Control Panel
"""
from app.models.tenant import Tenant, TenantResource
from app.models.user import User
from app.models.user_tenant_assignment import UserTenantAssignment
from app.models.user_data import UserResourceData, UserPreferences, UserProgress
from app.models.ai_resource import AIResource
from app.models.usage import UsageRecord
from app.models.audit import AuditLog
from app.models.model_config import ModelConfig, ModelUsageLog
from app.models.tenant_model_config import TenantModelConfig
from app.models.resource_usage import ResourceQuota, ResourceUsage, ResourceAlert, ResourceTemplate, SystemMetrics
from app.models.system import SystemVersion, UpdateJob, BackupRecord, UpdateStatus, BackupType
from app.models.session import Session
__all__ = [
"Tenant",
"TenantResource",
"User",
"UserTenantAssignment",
"UserResourceData",
"UserPreferences",
"UserProgress",
"AIResource",
"UsageRecord",
"AuditLog",
"ModelConfig",
"ModelUsageLog",
"TenantModelConfig",
"ResourceQuota",
"ResourceUsage",
"ResourceAlert",
"ResourceTemplate",
"SystemMetrics",
"SystemVersion",
"UpdateJob",
"BackupRecord",
"UpdateStatus",
"BackupType",
"Session"
]

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"""
Comprehensive Resource database model for all GT 2.0 resource families with HA support
Supports 6 resource families:
- AI/ML Resources (LLMs, embeddings, image generation, function calling)
- RAG Engine Resources (vector databases, document processing, retrieval systems)
- Agentic Workflow Resources (multi-step AI workflows, agent frameworks)
- App Integration Resources (external tools, APIs, webhooks)
- External Web Services (Canvas LMS, CTFd, Guacamole, iframe-embedded services)
- AI Literacy & Cognitive Skills (educational games, puzzles, learning content)
"""
from datetime import datetime
from typing import Dict, Any, List, Optional
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, Float, JSON
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class AIResource(Base):
"""Comprehensive Resource model for managing all GT 2.0 resource families with HA support"""
__tablename__ = "ai_resources"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
name = Column(String(100), nullable=False)
description = Column(Text, nullable=True)
resource_type = Column(
String(50),
nullable=False,
index=True
) # ai_ml, rag_engine, agentic_workflow, app_integration, external_service, ai_literacy
provider = Column(String(50), nullable=False, index=True)
model_name = Column(String(100), nullable=True) # Optional for non-AI resources
# Resource Family Specific Fields
resource_subtype = Column(String(50), nullable=True, index=True) # llm, vector_db, game, etc.
personalization_mode = Column(
String(20),
nullable=False,
default="shared",
index=True
) # shared, user_scoped, session_based
# High Availability Configuration
api_endpoints = Column(JSON, nullable=False, default=list) # Multiple endpoints for HA
primary_endpoint = Column(Text, nullable=True)
api_key_encrypted = Column(Text, nullable=True)
failover_endpoints = Column(JSON, nullable=False, default=list) # Failover endpoints
health_check_url = Column(Text, nullable=True)
# External Service Configuration (for iframe embedding, etc.)
iframe_url = Column(Text, nullable=True) # For external web services
sandbox_config = Column(JSON, nullable=False, default=dict) # Security sandboxing options
auth_config = Column(JSON, nullable=False, default=dict) # Authentication configuration
# Performance and Limits
max_requests_per_minute = Column(Integer, nullable=False, default=60)
max_tokens_per_request = Column(Integer, nullable=False, default=4000)
cost_per_1k_tokens = Column(Float, nullable=False, default=0.0)
latency_sla_ms = Column(Integer, nullable=False, default=5000)
# Configuration and Status
configuration = Column(JSON, nullable=False, default=dict)
health_status = Column(String(20), nullable=False, default="unknown", index=True) # healthy, unhealthy, unknown
last_health_check = Column(DateTime(timezone=True), nullable=True)
is_active = Column(Boolean, nullable=False, default=True, index=True)
priority = Column(Integer, nullable=False, default=100) # For load balancing weights
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
# Relationships
tenant_resources = relationship("TenantResource", back_populates="ai_resource", cascade="all, delete-orphan")
usage_records = relationship("UsageRecord", back_populates="ai_resource", cascade="all, delete-orphan")
def __repr__(self):
return f"<AIResource(id={self.id}, name='{self.name}', provider='{self.provider}')>"
def to_dict(self, include_sensitive: bool = False) -> Dict[str, Any]:
"""Convert comprehensive resource to dictionary with HA information"""
data = {
"id": self.id,
"uuid": str(self.uuid),
"name": self.name,
"description": self.description,
"resource_type": self.resource_type,
"resource_subtype": self.resource_subtype,
"provider": self.provider,
"model_name": self.model_name,
"personalization_mode": self.personalization_mode,
"primary_endpoint": self.primary_endpoint,
"health_check_url": self.health_check_url,
"iframe_url": self.iframe_url,
"sandbox_config": self.sandbox_config,
"auth_config": self.auth_config,
"max_requests_per_minute": self.max_requests_per_minute,
"max_tokens_per_request": self.max_tokens_per_request,
"cost_per_1k_tokens": self.cost_per_1k_tokens,
"latency_sla_ms": self.latency_sla_ms,
"configuration": self.configuration,
"health_status": self.health_status,
"last_health_check": self.last_health_check.isoformat() if self.last_health_check else None,
"is_active": self.is_active,
"priority": self.priority,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
if include_sensitive:
data["api_key_encrypted"] = self.api_key_encrypted
data["api_endpoints"] = self.api_endpoints
data["failover_endpoints"] = self.failover_endpoints
return data
# Resource Family Properties
@property
def is_ai_ml(self) -> bool:
"""Check if resource is an AI/ML resource"""
return self.resource_type == "ai_ml"
@property
def is_rag_engine(self) -> bool:
"""Check if resource is a RAG engine"""
return self.resource_type == "rag_engine"
@property
def is_agentic_workflow(self) -> bool:
"""Check if resource is an agentic workflow"""
return self.resource_type == "agentic_workflow"
@property
def is_app_integration(self) -> bool:
"""Check if resource is an app integration"""
return self.resource_type == "app_integration"
@property
def is_external_service(self) -> bool:
"""Check if resource is an external web service"""
return self.resource_type == "external_service"
@property
def is_ai_literacy(self) -> bool:
"""Check if resource is an AI literacy resource"""
return self.resource_type == "ai_literacy"
# AI/ML Subtype Properties (legacy compatibility)
@property
def is_llm(self) -> bool:
"""Check if resource is an LLM"""
return self.is_ai_ml and self.resource_subtype == "llm"
@property
def is_embedding(self) -> bool:
"""Check if resource is an embedding model"""
return self.is_ai_ml and self.resource_subtype == "embedding"
@property
def is_image_generation(self) -> bool:
"""Check if resource is an image generation model"""
return self.is_ai_ml and self.resource_subtype == "image_generation"
@property
def is_function_calling(self) -> bool:
"""Check if resource supports function calling"""
return self.is_ai_ml and self.resource_subtype == "function_calling"
# Personalization Properties
@property
def is_shared(self) -> bool:
"""Check if resource uses shared data model"""
return self.personalization_mode == "shared"
@property
def is_user_scoped(self) -> bool:
"""Check if resource uses user-scoped data model"""
return self.personalization_mode == "user_scoped"
@property
def is_session_based(self) -> bool:
"""Check if resource uses session-based data model"""
return self.personalization_mode == "session_based"
@property
def is_healthy(self) -> bool:
"""Check if resource is currently healthy"""
return self.health_status == "healthy" and self.is_active
@property
def has_failover(self) -> bool:
"""Check if resource has failover endpoints configured"""
return bool(self.failover_endpoints and len(self.failover_endpoints) > 0)
def get_default_config(self) -> Dict[str, Any]:
"""Get default configuration based on resource type and subtype"""
if self.is_ai_ml:
return self._get_ai_ml_config()
elif self.is_rag_engine:
return self._get_rag_engine_config()
elif self.is_agentic_workflow:
return self._get_agentic_workflow_config()
elif self.is_app_integration:
return self._get_app_integration_config()
elif self.is_external_service:
return self._get_external_service_config()
elif self.is_ai_literacy:
return self._get_ai_literacy_config()
else:
return {}
def _get_ai_ml_config(self) -> Dict[str, Any]:
"""Get AI/ML specific configuration"""
if self.resource_subtype == "llm":
return {
"max_tokens": 4000,
"temperature": 0.7,
"top_p": 1.0,
"frequency_penalty": 0.0,
"presence_penalty": 0.0,
"stream": False,
"stop": None
}
elif self.resource_subtype == "embedding":
return {
"dimensions": 1536,
"batch_size": 100,
"encoding_format": "float"
}
elif self.resource_subtype == "image_generation":
return {
"size": "1024x1024",
"quality": "standard",
"style": "natural",
"response_format": "url"
}
elif self.resource_subtype == "function_calling":
return {
"max_tokens": 4000,
"temperature": 0.1,
"function_call": "auto",
"tools": []
}
return {}
def _get_rag_engine_config(self) -> Dict[str, Any]:
"""Get RAG engine specific configuration"""
return {
"chunk_size": 512,
"chunk_overlap": 50,
"similarity_threshold": 0.7,
"max_results": 10,
"rerank": True,
"include_metadata": True
}
def _get_agentic_workflow_config(self) -> Dict[str, Any]:
"""Get agentic workflow specific configuration"""
return {
"max_iterations": 10,
"timeout_seconds": 300,
"auto_approve": False,
"human_in_loop": True,
"retry_on_failure": True,
"max_retries": 3
}
def _get_app_integration_config(self) -> Dict[str, Any]:
"""Get app integration specific configuration"""
return {
"timeout_seconds": 30,
"retry_attempts": 3,
"rate_limit_per_minute": 60,
"webhook_secret": None,
"auth_method": "api_key"
}
def _get_external_service_config(self) -> Dict[str, Any]:
"""Get external service specific configuration"""
return {
"iframe_sandbox": [
"allow-same-origin",
"allow-scripts",
"allow-forms",
"allow-popups"
],
"csp_policy": "default-src 'self'",
"session_timeout": 3600,
"auto_logout": True,
"single_sign_on": True
}
def _get_ai_literacy_config(self) -> Dict[str, Any]:
"""Get AI literacy resource specific configuration"""
return {
"difficulty_adaptive": True,
"progress_tracking": True,
"multiplayer_enabled": False,
"explanation_mode": True,
"hint_system": True,
"time_limits": False
}
def merge_config(self, custom_config: Dict[str, Any]) -> Dict[str, Any]:
"""Merge custom configuration with defaults"""
default_config = self.get_default_config()
merged_config = default_config.copy()
merged_config.update(custom_config or {})
merged_config.update(self.configuration or {})
return merged_config
def get_available_endpoints(self) -> List[str]:
"""Get all available endpoints for this resource"""
endpoints = []
if self.primary_endpoint:
endpoints.append(self.primary_endpoint)
if self.api_endpoints:
endpoints.extend([ep for ep in self.api_endpoints if ep != self.primary_endpoint])
if self.failover_endpoints:
endpoints.extend([ep for ep in self.failover_endpoints if ep not in endpoints])
return endpoints
def get_healthy_endpoints(self) -> List[str]:
"""Get list of healthy endpoints (for HA routing)"""
if self.is_healthy:
return self.get_available_endpoints()
return []
def update_health_status(self, status: str, last_check: Optional[datetime] = None) -> None:
"""Update health status of the resource"""
self.health_status = status
self.last_health_check = last_check or datetime.utcnow()
def calculate_cost(self, tokens_used: int) -> int:
"""Calculate cost in cents for token usage"""
if self.cost_per_1k_tokens <= 0:
return 0
return int((tokens_used / 1000) * self.cost_per_1k_tokens * 100)
@classmethod
def get_groq_defaults(cls) -> Dict[str, Any]:
"""Get default configuration for Groq resources"""
return {
"provider": "groq",
"api_endpoints": ["https://api.groq.com/openai/v1"],
"primary_endpoint": "https://api.groq.com/openai/v1",
"health_check_url": "https://api.groq.com/openai/v1/models",
"max_requests_per_minute": 30,
"max_tokens_per_request": 8000,
"latency_sla_ms": 3000,
"priority": 100
}

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"""
Audit log database model
"""
from datetime import datetime
from typing import Optional, Dict, Any
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey, Text, JSON
from sqlalchemy.dialects.postgresql import JSONB, INET
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from app.core.database import Base
class AuditLog(Base):
"""System audit log for tracking all administrative actions"""
__tablename__ = "audit_logs"
id = Column(Integer, primary_key=True, index=True)
user_id = Column(Integer, ForeignKey("users.id", ondelete="SET NULL"), nullable=True, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="SET NULL"), nullable=True, index=True)
action = Column(String(100), nullable=False, index=True)
resource_type = Column(String(50), nullable=True, index=True)
resource_id = Column(String(100), nullable=True)
details = Column(JSON, nullable=False, default=dict)
ip_address = Column(String(45), nullable=True) # IPv4: 15 chars, IPv6: 45 chars
user_agent = Column(Text, nullable=True)
# Timestamp
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False, index=True)
# Relationships
user = relationship("User", back_populates="audit_logs")
tenant = relationship("Tenant", back_populates="audit_logs")
def __repr__(self):
return f"<AuditLog(id={self.id}, action='{self.action}', user_id={self.user_id})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert audit log to dictionary"""
return {
"id": self.id,
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"action": self.action,
"resource_type": self.resource_type,
"resource_id": self.resource_id,
"details": self.details,
"ip_address": str(self.ip_address) if self.ip_address else None,
"user_agent": self.user_agent,
"created_at": self.created_at.isoformat() if self.created_at else None
}
@classmethod
def create_log(
cls,
action: str,
user_id: Optional[int] = None,
tenant_id: Optional[int] = None,
resource_type: Optional[str] = None,
resource_id: Optional[str] = None,
details: Optional[Dict[str, Any]] = None,
ip_address: Optional[str] = None,
user_agent: Optional[str] = None
) -> "AuditLog":
"""Create a new audit log entry"""
return cls(
user_id=user_id,
tenant_id=tenant_id,
action=action,
resource_type=resource_type,
resource_id=resource_id,
details=details or {},
ip_address=ip_address,
user_agent=user_agent
)
# Common audit actions
class AuditActions:
"""Standard audit action constants"""
# Authentication
USER_LOGIN = "user.login"
USER_LOGOUT = "user.logout"
USER_LOGIN_FAILED = "user.login_failed"
# User management
USER_CREATE = "user.create"
USER_UPDATE = "user.update"
USER_DELETE = "user.delete"
USER_ACTIVATE = "user.activate"
USER_DEACTIVATE = "user.deactivate"
# Tenant management
TENANT_CREATE = "tenant.create"
TENANT_UPDATE = "tenant.update"
TENANT_DELETE = "tenant.delete"
TENANT_DEPLOY = "tenant.deploy"
TENANT_SUSPEND = "tenant.suspend"
TENANT_ACTIVATE = "tenant.activate"
# Resource management
RESOURCE_CREATE = "resource.create"
RESOURCE_UPDATE = "resource.update"
RESOURCE_DELETE = "resource.delete"
RESOURCE_ASSIGN = "resource.assign"
RESOURCE_UNASSIGN = "resource.unassign"
# System actions
SYSTEM_BACKUP = "system.backup"
SYSTEM_RESTORE = "system.restore"
SYSTEM_CONFIG_UPDATE = "system.config_update"
# Security events
SECURITY_POLICY_UPDATE = "security.policy_update"
SECURITY_BREACH_DETECTED = "security.breach_detected"
SECURITY_ACCESS_DENIED = "security.access_denied"

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"""
Model Configuration Database Schema for GT 2.0 Admin Control Panel
This model stores configurations for all AI models across the GT 2.0 platform.
Configurations are synced to resource clusters via RabbitMQ messages.
"""
from sqlalchemy import Column, String, JSON, Boolean, DateTime, Float, Integer, Text, UniqueConstraint
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class ModelConfig(Base):
"""Model configuration stored in PostgreSQL admin database"""
__tablename__ = "model_configs"
# Primary key - UUID
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
# Business identifier - unique per provider (same model_id can exist for different providers)
model_id = Column(String(255), nullable=False, index=True)
name = Column(String(255), nullable=False)
version = Column(String(50), default="1.0")
# Provider information
provider = Column(String(50), nullable=False) # groq, external, openai, anthropic, nvidia
model_type = Column(String(50), nullable=False) # llm, embedding, audio, tts, vision
# Endpoint configuration
endpoint = Column(String(500), nullable=False)
api_key_name = Column(String(100)) # Environment variable name for API key
# Model specifications
context_window = Column(Integer)
max_tokens = Column(Integer)
dimensions = Column(Integer) # For embedding models
# Capabilities (JSON object)
capabilities = Column(JSON, default={})
# Cost information (per million tokens, as per Groq pricing)
cost_per_million_input = Column(Float, default=0.0)
cost_per_million_output = Column(Float, default=0.0)
# Configuration and metadata
description = Column(Text)
config = Column(JSON, default={}) # Additional provider-specific config
# Status and health
is_active = Column(Boolean, default=True)
health_status = Column(String(20), default="unknown") # healthy, unhealthy, unknown
last_health_check = Column(DateTime)
# Compound model flag (for pass-through pricing based on actual usage)
is_compound = Column(Boolean, default=False)
# Usage tracking (will be updated from resource clusters)
request_count = Column(Integer, default=0)
error_count = Column(Integer, default=0)
success_rate = Column(Float, default=100.0)
avg_latency_ms = Column(Float, default=0.0)
# Tenant access control (JSON array)
# Example: {"allowed_tenants": ["tenant1", "tenant2"], "blocked_tenants": [], "global_access": true}
tenant_restrictions = Column(JSON, default=lambda: {"global_access": True})
# Required capabilities to use this model (JSON array)
# Example: ["llm:execute", "advanced:reasoning", "vision:analyze"]
required_capabilities = Column(JSON, default=list)
# Lifecycle timestamps
created_at = Column(DateTime, default=func.now())
updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
# Relationships
tenant_configs = relationship("TenantModelConfig", back_populates="model_config", cascade="all, delete-orphan")
# Unique constraint: same model_id can exist for different providers
__table_args__ = (
UniqueConstraint('model_id', 'provider', name='model_configs_model_id_provider_unique'),
)
def to_dict(self) -> dict:
"""Convert model to dictionary for API responses"""
return {
"id": str(self.id) if self.id else None,
"model_id": self.model_id,
"name": self.name,
"version": self.version,
"provider": self.provider,
"model_type": self.model_type,
"endpoint": self.endpoint,
"api_key_name": self.api_key_name,
"specifications": {
"context_window": self.context_window,
"max_tokens": self.max_tokens,
"dimensions": self.dimensions,
},
"capabilities": self.capabilities or {},
"cost": {
"per_million_input": self.cost_per_million_input,
"per_million_output": self.cost_per_million_output,
},
"description": self.description,
"config": self.config or {},
"status": {
"is_active": self.is_active,
"is_compound": self.is_compound,
"health_status": self.health_status,
"last_health_check": self.last_health_check.isoformat() if self.last_health_check else None,
},
"usage": {
"request_count": self.request_count,
"error_count": self.error_count,
"success_rate": self.success_rate,
"avg_latency_ms": self.avg_latency_ms,
},
"access_control": {
"tenant_restrictions": self.tenant_restrictions or {},
"required_capabilities": self.required_capabilities or [],
},
"timestamps": {
"created_at": self.created_at.isoformat(),
"updated_at": self.updated_at.isoformat(),
}
}
@classmethod
def from_dict(cls, data: dict) -> 'ModelConfig':
"""Create ModelConfig from dictionary"""
# Handle both nested and flat data formats
specifications = data.get("specifications", {})
cost = data.get("cost", {})
status = data.get("status", {})
access_control = data.get("access_control", {})
return cls(
model_id=data.get("model_id"),
name=data.get("name"),
version=data.get("version", "1.0"),
provider=data.get("provider"),
model_type=data.get("model_type"),
endpoint=data.get("endpoint"),
api_key_name=data.get("api_key_name"),
# Handle both nested and flat context_window/max_tokens with type conversion
context_window=int(specifications.get("context_window") or data.get("context_window", 0)) if (specifications.get("context_window") or data.get("context_window")) else None,
max_tokens=int(specifications.get("max_tokens") or data.get("max_tokens", 0)) if (specifications.get("max_tokens") or data.get("max_tokens")) else None,
dimensions=int(specifications.get("dimensions") or data.get("dimensions", 0)) if (specifications.get("dimensions") or data.get("dimensions")) else None,
capabilities=data.get("capabilities", {}),
# Handle both nested and flat cost fields with type conversion
cost_per_million_input=float(cost.get("per_million_input") or data.get("cost_per_million_input", 0.0)),
cost_per_million_output=float(cost.get("per_million_output") or data.get("cost_per_million_output", 0.0)),
description=data.get("description"),
config=data.get("config", {}),
# Handle both nested and flat is_active
is_active=status.get("is_active") if status.get("is_active") is not None else data.get("is_active", True),
# Handle both nested and flat is_compound
is_compound=status.get("is_compound") if status.get("is_compound") is not None else data.get("is_compound", False),
tenant_restrictions=access_control.get("tenant_restrictions", data.get("tenant_restrictions", {"global_access": True})),
required_capabilities=access_control.get("required_capabilities", data.get("required_capabilities", [])),
)
class ModelUsageLog(Base):
"""Log of model usage events from resource clusters"""
__tablename__ = "model_usage_logs"
id = Column(Integer, primary_key=True, autoincrement=True)
model_id = Column(String(255), nullable=False, index=True)
tenant_id = Column(String(100), nullable=False, index=True)
user_id = Column(String(100), nullable=False)
# Usage metrics
tokens_input = Column(Integer, default=0)
tokens_output = Column(Integer, default=0)
tokens_total = Column(Integer, default=0)
cost = Column(Float, default=0.0)
latency_ms = Column(Float)
# Request metadata
success = Column(Boolean, default=True)
error_message = Column(Text)
request_id = Column(String(100))
# Timestamp
timestamp = Column(DateTime, default=func.now())
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"model_id": self.model_id,
"tenant_id": self.tenant_id,
"user_id": self.user_id,
"tokens": {
"input": self.tokens_input,
"output": self.tokens_output,
"total": self.tokens_total,
},
"cost": self.cost,
"latency_ms": self.latency_ms,
"success": self.success,
"error_message": self.error_message,
"request_id": self.request_id,
"timestamp": self.timestamp.isoformat(),
}

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"""
Resource-specific configuration schemas for comprehensive resource management
Defines Pydantic models for validating configuration data for each resource family:
- AI/ML Resources (LLMs, embeddings, image generation, function calling)
- RAG Engine Resources (vector databases, document processing, retrieval systems)
- Agentic Workflow Resources (multi-step AI workflows, agent frameworks)
- App Integration Resources (external tools, APIs, webhooks)
- External Web Services (Canvas LMS, CTFd, Guacamole, iframe-embedded services)
- AI Literacy & Cognitive Skills (educational games, puzzles, learning content)
"""
from typing import Dict, Any, List, Optional, Union, Literal
from pydantic import BaseModel, Field, validator
from enum import Enum
# Base Configuration Schema
class BaseResourceConfig(BaseModel):
"""Base configuration for all resource types"""
timeout_seconds: Optional[int] = Field(30, ge=1, le=3600, description="Request timeout in seconds")
retry_attempts: Optional[int] = Field(3, ge=0, le=10, description="Number of retry attempts")
rate_limit_per_minute: Optional[int] = Field(60, ge=1, le=10000, description="Rate limit per minute")
# AI/ML Resource Configurations
class LLMConfig(BaseResourceConfig):
"""Configuration for LLM resources"""
max_tokens: Optional[int] = Field(4000, ge=1, le=100000, description="Maximum tokens per request")
temperature: Optional[float] = Field(0.7, ge=0.0, le=2.0, description="Sampling temperature")
top_p: Optional[float] = Field(1.0, ge=0.0, le=1.0, description="Top-p sampling parameter")
frequency_penalty: Optional[float] = Field(0.0, ge=-2.0, le=2.0, description="Frequency penalty")
presence_penalty: Optional[float] = Field(0.0, ge=-2.0, le=2.0, description="Presence penalty")
stream: Optional[bool] = Field(False, description="Enable streaming responses")
stop: Optional[List[str]] = Field(None, description="Stop sequences")
system_prompt: Optional[str] = Field(None, description="Default system prompt")
class EmbeddingConfig(BaseResourceConfig):
"""Configuration for embedding model resources"""
dimensions: Optional[int] = Field(1536, ge=128, le=8192, description="Embedding dimensions")
batch_size: Optional[int] = Field(100, ge=1, le=1000, description="Batch processing size")
encoding_format: Optional[Literal["float", "base64"]] = Field("float", description="Output encoding format")
normalize_embeddings: Optional[bool] = Field(True, description="Normalize embedding vectors")
class ImageGenerationConfig(BaseResourceConfig):
"""Configuration for image generation resources"""
size: Optional[str] = Field("1024x1024", description="Image dimensions")
quality: Optional[Literal["standard", "hd"]] = Field("standard", description="Image quality")
style: Optional[Literal["natural", "vivid"]] = Field("natural", description="Image style")
response_format: Optional[Literal["url", "b64_json"]] = Field("url", description="Response format")
n: Optional[int] = Field(1, ge=1, le=10, description="Number of images to generate")
class FunctionCallingConfig(BaseResourceConfig):
"""Configuration for function calling resources"""
max_tokens: Optional[int] = Field(4000, ge=1, le=100000, description="Maximum tokens per request")
temperature: Optional[float] = Field(0.1, ge=0.0, le=2.0, description="Sampling temperature")
function_call: Optional[Union[str, Dict[str, str]]] = Field("auto", description="Function call behavior")
tools: Optional[List[Dict[str, Any]]] = Field(default_factory=list, description="Available tools/functions")
parallel_tool_calls: Optional[bool] = Field(True, description="Allow parallel tool calls")
# RAG Engine Configurations
class VectorDatabaseConfig(BaseResourceConfig):
"""Configuration for vector database resources"""
chunk_size: Optional[int] = Field(512, ge=64, le=8192, description="Document chunk size")
chunk_overlap: Optional[int] = Field(50, ge=0, le=500, description="Chunk overlap size")
similarity_threshold: Optional[float] = Field(0.7, ge=0.0, le=1.0, description="Similarity threshold")
max_results: Optional[int] = Field(10, ge=1, le=100, description="Maximum search results")
rerank: Optional[bool] = Field(True, description="Enable result reranking")
include_metadata: Optional[bool] = Field(True, description="Include document metadata")
similarity_metric: Optional[Literal["cosine", "euclidean", "dot_product"]] = Field("cosine", description="Similarity metric")
class DocumentProcessorConfig(BaseResourceConfig):
"""Configuration for document processing resources"""
supported_formats: Optional[List[str]] = Field(
default_factory=lambda: ["pdf", "docx", "txt", "md", "html"],
description="Supported document formats"
)
extract_images: Optional[bool] = Field(False, description="Extract images from documents")
ocr_enabled: Optional[bool] = Field(False, description="Enable OCR for scanned documents")
preserve_formatting: Optional[bool] = Field(True, description="Preserve document formatting")
max_file_size_mb: Optional[int] = Field(50, ge=1, le=1000, description="Maximum file size in MB")
# Agentic Workflow Configurations
class WorkflowConfig(BaseResourceConfig):
"""Configuration for agentic workflow resources"""
max_iterations: Optional[int] = Field(10, ge=1, le=100, description="Maximum workflow iterations")
timeout_seconds: Optional[int] = Field(300, ge=30, le=3600, description="Workflow timeout")
auto_approve: Optional[bool] = Field(False, description="Auto-approve workflow steps")
human_in_loop: Optional[bool] = Field(True, description="Require human approval")
retry_on_failure: Optional[bool] = Field(True, description="Retry failed steps")
max_retries: Optional[int] = Field(3, ge=0, le=10, description="Maximum retry attempts per step")
parallel_execution: Optional[bool] = Field(False, description="Enable parallel step execution")
checkpoint_enabled: Optional[bool] = Field(True, description="Save workflow checkpoints")
class AgentFrameworkConfig(BaseResourceConfig):
"""Configuration for agent framework resources"""
agent_type: Optional[str] = Field("conversational", description="Type of agent")
memory_enabled: Optional[bool] = Field(True, description="Enable agent memory")
memory_type: Optional[Literal["buffer", "summary", "vector"]] = Field("buffer", description="Memory storage type")
max_memory_size: Optional[int] = Field(1000, ge=100, le=10000, description="Maximum memory entries")
tools_enabled: Optional[bool] = Field(True, description="Enable agent tools")
max_tool_calls: Optional[int] = Field(5, ge=1, le=20, description="Maximum tool calls per turn")
# App Integration Configurations
class APIIntegrationConfig(BaseResourceConfig):
"""Configuration for API integration resources"""
auth_method: Optional[Literal["api_key", "bearer_token", "oauth2", "basic_auth"]] = Field("api_key", description="Authentication method")
base_url: Optional[str] = Field(None, description="Base URL for API")
headers: Optional[Dict[str, str]] = Field(default_factory=dict, description="Default headers")
webhook_enabled: Optional[bool] = Field(False, description="Enable webhook support")
webhook_secret: Optional[str] = Field(None, description="Webhook validation secret")
rate_limit_strategy: Optional[Literal["fixed", "sliding", "token_bucket"]] = Field("fixed", description="Rate limiting strategy")
class WebhookConfig(BaseResourceConfig):
"""Configuration for webhook resources"""
endpoint_url: Optional[str] = Field(None, description="Webhook endpoint URL")
secret_token: Optional[str] = Field(None, description="Secret for webhook validation")
supported_events: Optional[List[str]] = Field(default_factory=list, description="Supported event types")
retry_policy: Optional[Dict[str, Any]] = Field(
default_factory=lambda: {"max_retries": 3, "backoff_multiplier": 2},
description="Retry policy for failed webhooks"
)
signature_header: Optional[str] = Field("X-Hub-Signature-256", description="Signature header name")
# External Service Configurations
class IframeServiceConfig(BaseResourceConfig):
"""Configuration for iframe-embedded external services"""
iframe_url: str = Field(..., description="URL to embed in iframe")
sandbox_permissions: Optional[List[str]] = Field(
default_factory=lambda: ["allow-same-origin", "allow-scripts", "allow-forms", "allow-popups"],
description="Iframe sandbox permissions"
)
csp_policy: Optional[str] = Field("default-src 'self'", description="Content Security Policy")
session_timeout: Optional[int] = Field(3600, ge=300, le=86400, description="Session timeout in seconds")
auto_logout: Optional[bool] = Field(True, description="Auto logout on session timeout")
single_sign_on: Optional[bool] = Field(True, description="Enable single sign-on")
resize_enabled: Optional[bool] = Field(True, description="Allow iframe resizing")
width: Optional[str] = Field("100%", description="Iframe width")
height: Optional[str] = Field("600px", description="Iframe height")
class LMSIntegrationConfig(IframeServiceConfig):
"""Configuration for Learning Management System integration"""
lms_type: Optional[Literal["canvas", "moodle", "blackboard", "schoology"]] = Field("canvas", description="LMS platform type")
course_id: Optional[str] = Field(None, description="Course identifier")
assignment_sync: Optional[bool] = Field(True, description="Sync assignments")
grade_passback: Optional[bool] = Field(True, description="Enable grade passback")
enrollment_sync: Optional[bool] = Field(False, description="Sync enrollments")
class CyberRangeConfig(IframeServiceConfig):
"""Configuration for cyber range environments (CTFd, Guacamole, etc.)"""
platform_type: Optional[Literal["ctfd", "guacamole", "custom"]] = Field("ctfd", description="Cyber range platform")
vm_template: Optional[str] = Field(None, description="Virtual machine template")
network_isolation: Optional[bool] = Field(True, description="Enable network isolation")
auto_destroy: Optional[bool] = Field(True, description="Auto-destroy sessions")
max_session_duration: Optional[int] = Field(14400, ge=1800, le=86400, description="Maximum session duration")
resource_limits: Optional[Dict[str, str]] = Field(
default_factory=lambda: {"cpu": "2", "memory": "4Gi", "storage": "20Gi"},
description="Resource limits for VMs"
)
# AI Literacy Configurations
class StrategicGameConfig(BaseResourceConfig):
"""Configuration for strategic games (Chess, Go, etc.)"""
game_type: Literal["chess", "go", "poker", "bridge", "custom"] = Field(..., description="Type of strategic game")
ai_opponent_model: Optional[str] = Field(None, description="AI model for opponent")
difficulty_levels: Optional[List[str]] = Field(
default_factory=lambda: ["beginner", "intermediate", "expert", "adaptive"],
description="Available difficulty levels"
)
explanation_mode: Optional[bool] = Field(True, description="Provide move explanations")
hint_system: Optional[bool] = Field(True, description="Enable hints")
multiplayer_enabled: Optional[bool] = Field(False, description="Support multiple players")
time_controls: Optional[Dict[str, int]] = Field(
default_factory=lambda: {"blitz": 300, "rapid": 900, "classical": 1800},
description="Time control options in seconds"
)
class LogicPuzzleConfig(BaseResourceConfig):
"""Configuration for logic puzzles"""
puzzle_types: Optional[List[str]] = Field(
default_factory=lambda: ["sudoku", "logic_grid", "lateral_thinking", "mathematical"],
description="Types of puzzles available"
)
difficulty_adaptive: Optional[bool] = Field(True, description="Adapt difficulty based on performance")
progress_tracking: Optional[bool] = Field(True, description="Track user progress")
hint_system: Optional[bool] = Field(True, description="Provide hints")
time_limits: Optional[bool] = Field(False, description="Enable time limits")
collaborative_solving: Optional[bool] = Field(False, description="Allow collaborative solving")
class PhilosophicalDilemmaConfig(BaseResourceConfig):
"""Configuration for philosophical dilemma resources"""
dilemma_categories: Optional[List[str]] = Field(
default_factory=lambda: ["ethics", "epistemology", "metaphysics", "logic"],
description="Categories of philosophical dilemmas"
)
ai_socratic_method: Optional[bool] = Field(True, description="Use AI for Socratic questioning")
debate_mode: Optional[bool] = Field(True, description="Enable debate functionality")
argument_analysis: Optional[bool] = Field(True, description="Analyze argument structure")
bias_detection: Optional[bool] = Field(True, description="Detect cognitive biases")
multi_perspective: Optional[bool] = Field(True, description="Present multiple perspectives")
class EducationalContentConfig(BaseResourceConfig):
"""Configuration for educational content resources"""
content_type: Optional[Literal["interactive", "video", "text", "mixed"]] = Field("mixed", description="Type of content")
adaptive_learning: Optional[bool] = Field(True, description="Adapt to learner progress")
assessment_enabled: Optional[bool] = Field(True, description="Include assessments")
prerequisite_checking: Optional[bool] = Field(True, description="Check prerequisites")
learning_analytics: Optional[bool] = Field(True, description="Collect learning analytics")
personalization_level: Optional[Literal["none", "basic", "advanced"]] = Field("basic", description="Personalization level")
# Configuration Union Type
ResourceConfigType = Union[
# AI/ML
LLMConfig,
EmbeddingConfig,
ImageGenerationConfig,
FunctionCallingConfig,
# RAG Engine
VectorDatabaseConfig,
DocumentProcessorConfig,
# Agentic Workflow
WorkflowConfig,
AgentFrameworkConfig,
# App Integration
APIIntegrationConfig,
WebhookConfig,
# External Service
IframeServiceConfig,
LMSIntegrationConfig,
CyberRangeConfig,
# AI Literacy
StrategicGameConfig,
LogicPuzzleConfig,
PhilosophicalDilemmaConfig,
EducationalContentConfig
]
def get_config_schema(resource_type: str, resource_subtype: str) -> BaseResourceConfig:
"""Get the appropriate configuration schema for a resource type and subtype"""
if resource_type == "ai_ml":
if resource_subtype == "llm":
return LLMConfig()
elif resource_subtype == "embedding":
return EmbeddingConfig()
elif resource_subtype == "image_generation":
return ImageGenerationConfig()
elif resource_subtype == "function_calling":
return FunctionCallingConfig()
elif resource_type == "rag_engine":
if resource_subtype == "vector_database":
return VectorDatabaseConfig()
elif resource_subtype == "document_processor":
return DocumentProcessorConfig()
elif resource_type == "agentic_workflow":
if resource_subtype == "workflow":
return WorkflowConfig()
elif resource_subtype == "agent_framework":
return AgentFrameworkConfig()
elif resource_type == "app_integration":
if resource_subtype == "api":
return APIIntegrationConfig()
elif resource_subtype == "webhook":
return WebhookConfig()
elif resource_type == "external_service":
if resource_subtype == "lms":
return LMSIntegrationConfig()
elif resource_subtype == "cyber_range":
return CyberRangeConfig()
elif resource_subtype == "iframe":
return IframeServiceConfig()
elif resource_type == "ai_literacy":
if resource_subtype == "strategic_game":
return StrategicGameConfig()
elif resource_subtype == "logic_puzzle":
return LogicPuzzleConfig()
elif resource_subtype == "philosophical_dilemma":
return PhilosophicalDilemmaConfig()
elif resource_subtype == "educational_content":
return EducationalContentConfig()
# Default fallback
return BaseResourceConfig()
def validate_resource_config(resource_type: str, resource_subtype: str, config_data: Dict[str, Any]) -> Dict[str, Any]:
"""Validate resource configuration data against the appropriate schema"""
schema = get_config_schema(resource_type, resource_subtype)
# Create instance with provided data
if resource_type == "ai_ml":
if resource_subtype == "llm":
validated = LLMConfig(**config_data)
elif resource_subtype == "embedding":
validated = EmbeddingConfig(**config_data)
elif resource_subtype == "image_generation":
validated = ImageGenerationConfig(**config_data)
elif resource_subtype == "function_calling":
validated = FunctionCallingConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
elif resource_type == "rag_engine":
if resource_subtype == "vector_database":
validated = VectorDatabaseConfig(**config_data)
elif resource_subtype == "document_processor":
validated = DocumentProcessorConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
elif resource_type == "agentic_workflow":
if resource_subtype == "workflow":
validated = WorkflowConfig(**config_data)
elif resource_subtype == "agent_framework":
validated = AgentFrameworkConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
elif resource_type == "app_integration":
if resource_subtype == "api":
validated = APIIntegrationConfig(**config_data)
elif resource_subtype == "webhook":
validated = WebhookConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
elif resource_type == "external_service":
if resource_subtype == "lms":
validated = LMSIntegrationConfig(**config_data)
elif resource_subtype == "cyber_range":
validated = CyberRangeConfig(**config_data)
elif resource_subtype == "iframe":
validated = IframeServiceConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
elif resource_type == "ai_literacy":
if resource_subtype == "strategic_game":
validated = StrategicGameConfig(**config_data)
elif resource_subtype == "logic_puzzle":
validated = LogicPuzzleConfig(**config_data)
elif resource_subtype == "philosophical_dilemma":
validated = PhilosophicalDilemmaConfig(**config_data)
elif resource_subtype == "educational_content":
validated = EducationalContentConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
else:
validated = BaseResourceConfig(**config_data)
return validated.dict(exclude_unset=True)

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apps/control-panel-backend/app/models/resource_usage.py Normal file
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"""
Resource Usage and Quota Models for GT 2.0 Control Panel
Tracks resource allocation and usage across all tenants with granular monitoring.
"""
from datetime import datetime
from typing import Optional
from sqlalchemy import Column, Integer, String, Float, DateTime, Boolean, Text, ForeignKey
from sqlalchemy.orm import relationship
from app.core.database import Base
class ResourceQuota(Base):
"""
Resource quotas allocated to tenants.
Tracks maximum allowed usage per resource type with cost tracking.
"""
__tablename__ = "resource_quotas"
id = Column(Integer, primary_key=True, autoincrement=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_type = Column(String(50), nullable=False, index=True) # cpu, memory, storage, api_calls, etc.
max_value = Column(Float, nullable=False) # Maximum allowed value
current_usage = Column(Float, default=0.0, nullable=False) # Current usage
warning_threshold = Column(Float, default=0.8, nullable=False) # Warning at 80%
critical_threshold = Column(Float, default=0.95, nullable=False) # Critical at 95%
unit = Column(String(20), nullable=False) # units, MB, cores, calls/hour, etc.
cost_per_unit = Column(Float, default=0.0, nullable=False) # Cost per unit of usage
is_active = Column(Boolean, default=True, nullable=False)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
# Relationships
tenant = relationship("Tenant", back_populates="resource_quotas")
def __repr__(self):
return f"<ResourceQuota(tenant_id={self.tenant_id}, type={self.resource_type}, usage={self.current_usage}/{self.max_value})>"
def to_dict(self):
return {
"id": self.id,
"tenant_id": self.tenant_id,
"resource_type": self.resource_type,
"max_value": self.max_value,
"current_usage": self.current_usage,
"usage_percentage": (self.current_usage / self.max_value * 100) if self.max_value > 0 else 0,
"warning_threshold": self.warning_threshold,
"critical_threshold": self.critical_threshold,
"unit": self.unit,
"cost_per_unit": self.cost_per_unit,
"is_active": self.is_active,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
class ResourceUsage(Base):
"""
Historical resource usage records.
Tracks all resource consumption events for billing and analytics.
"""
__tablename__ = "resource_usage"
id = Column(Integer, primary_key=True, autoincrement=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_type = Column(String(50), nullable=False, index=True)
usage_amount = Column(Float, nullable=False) # Amount of resource used (can be negative for refunds)
cost = Column(Float, default=0.0, nullable=False) # Cost of this usage
timestamp = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
usage_metadata = Column(Text) # JSON metadata about the usage event
user_id = Column(String(100)) # User who initiated the usage (optional)
service = Column(String(50)) # Service that generated the usage (optional)
# Relationships
tenant = relationship("Tenant", back_populates="resource_usage_records")
def __repr__(self):
return f"<ResourceUsage(tenant_id={self.tenant_id}, type={self.resource_type}, amount={self.usage_amount}, cost=${self.cost})>"
def to_dict(self):
return {
"id": self.id,
"tenant_id": self.tenant_id,
"resource_type": self.resource_type,
"usage_amount": self.usage_amount,
"cost": self.cost,
"timestamp": self.timestamp.isoformat() if self.timestamp else None,
"metadata": self.usage_metadata,
"user_id": self.user_id,
"service": self.service
}
class ResourceAlert(Base):
"""
Resource usage alerts and notifications.
Generated when resource usage exceeds thresholds.
"""
__tablename__ = "resource_alerts"
id = Column(Integer, primary_key=True, autoincrement=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_type = Column(String(50), nullable=False, index=True)
alert_level = Column(String(20), nullable=False, index=True) # info, warning, critical
message = Column(Text, nullable=False)
current_usage = Column(Float, nullable=False)
max_value = Column(Float, nullable=False)
percentage_used = Column(Float, nullable=False)
acknowledged = Column(Boolean, default=False, nullable=False)
acknowledged_by = Column(String(100)) # User who acknowledged the alert
acknowledged_at = Column(DateTime)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
# Relationships
tenant = relationship("Tenant", back_populates="resource_alerts")
def __repr__(self):
return f"<ResourceAlert(tenant_id={self.tenant_id}, level={self.alert_level}, type={self.resource_type})>"
def to_dict(self):
return {
"id": self.id,
"tenant_id": self.tenant_id,
"resource_type": self.resource_type,
"alert_level": self.alert_level,
"message": self.message,
"current_usage": self.current_usage,
"max_value": self.max_value,
"percentage_used": self.percentage_used,
"acknowledged": self.acknowledged,
"acknowledged_by": self.acknowledged_by,
"acknowledged_at": self.acknowledged_at.isoformat() if self.acknowledged_at else None,
"created_at": self.created_at.isoformat() if self.created_at else None
}
def acknowledge(self, user_id: str):
"""Acknowledge this alert"""
self.acknowledged = True
self.acknowledged_by = user_id
self.acknowledged_at = datetime.utcnow()
class ResourceTemplate(Base):
"""
Predefined resource allocation templates.
Templates for different tenant tiers (startup, standard, enterprise).
"""
__tablename__ = "resource_templates"
id = Column(Integer, primary_key=True, autoincrement=True)
name = Column(String(50), unique=True, nullable=False, index=True)
display_name = Column(String(100), nullable=False)
description = Column(Text)
template_data = Column(Text, nullable=False) # JSON resource configuration
monthly_cost = Column(Float, default=0.0, nullable=False)
is_active = Column(Boolean, default=True, nullable=False)
created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
def __repr__(self):
return f"<ResourceTemplate(name={self.name}, cost=${self.monthly_cost})>"
def to_dict(self):
return {
"id": self.id,
"name": self.name,
"display_name": self.display_name,
"description": self.description,
"template_data": self.template_data,
"monthly_cost": self.monthly_cost,
"is_active": self.is_active,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
class SystemMetrics(Base):
"""
System-wide resource metrics and capacity planning data.
Tracks aggregate usage across all tenants for capacity planning.
"""
__tablename__ = "system_metrics"
id = Column(Integer, primary_key=True, autoincrement=True)
metric_name = Column(String(100), nullable=False, index=True)
metric_value = Column(Float, nullable=False)
metric_unit = Column(String(20), nullable=False)
timestamp = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
metric_metadata = Column(Text) # JSON metadata about the metric
def __repr__(self):
return f"<SystemMetrics(name={self.metric_name}, value={self.metric_value}, timestamp={self.timestamp})>"
def to_dict(self):
return {
"id": self.id,
"metric_name": self.metric_name,
"metric_value": self.metric_value,
"metric_unit": self.metric_unit,
"timestamp": self.timestamp.isoformat() if self.timestamp else None,
"metadata": self.metric_metadata
}

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"""
Session database model for server-side session tracking.
OWASP/NIST Compliant Session Management (Issue #264):
- Server-side session state is authoritative
- Tracks idle timeout (30 min) and absolute timeout (8 hours)
- Session token hash stored (never plaintext)
"""
from datetime import datetime
from typing import Optional, Dict, Any
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, ForeignKey
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class Session(Base):
"""Server-side session model for OWASP/NIST compliant session management"""
__tablename__ = "sessions"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
session_token_hash = Column(String(64), unique=True, nullable=False, index=True) # SHA-256 hash
# Session timing (NIST SP 800-63B compliant)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
last_activity_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
absolute_expires_at = Column(DateTime(timezone=True), nullable=False)
# Session metadata for security auditing
ip_address = Column(String(45), nullable=True) # IPv6 compatible
user_agent = Column(Text, nullable=True)
tenant_id = Column(Integer, ForeignKey("tenants.id"), nullable=True, index=True)
# Session state
is_active = Column(Boolean, default=True, nullable=False)
revoked_at = Column(DateTime(timezone=True), nullable=True)
revoke_reason = Column(String(50), nullable=True) # 'logout', 'idle_timeout', 'absolute_timeout', 'admin_revoke', 'password_change', 'cleanup_stale'
ended_at = Column(DateTime(timezone=True), nullable=True) # When session ended (any reason: logout, timeout, etc.)
app_type = Column(String(20), default='control_panel', nullable=False) # 'control_panel' or 'tenant_app'
# Relationships
user = relationship("User", back_populates="sessions")
tenant = relationship("Tenant", backref="sessions")
def __repr__(self):
return f"<Session(id={self.id}, user_id={self.user_id}, is_active={self.is_active})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert session to dictionary (excluding sensitive data)"""
return {
"id": str(self.id),
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"created_at": self.created_at.isoformat() if self.created_at else None,
"last_activity_at": self.last_activity_at.isoformat() if self.last_activity_at else None,
"absolute_expires_at": self.absolute_expires_at.isoformat() if self.absolute_expires_at else None,
"ip_address": self.ip_address,
"is_active": self.is_active,
"revoked_at": self.revoked_at.isoformat() if self.revoked_at else None,
"revoke_reason": self.revoke_reason,
"ended_at": self.ended_at.isoformat() if self.ended_at else None,
"app_type": self.app_type,
}
@property
def is_expired(self) -> bool:
"""Check if session is expired (either idle or absolute)"""
if not self.is_active:
return True
now = datetime.now(self.absolute_expires_at.tzinfo) if self.absolute_expires_at.tzinfo else datetime.utcnow()
# Check absolute timeout
if now >= self.absolute_expires_at:
return True
# Check idle timeout (30 minutes)
from datetime import timedelta
idle_timeout = timedelta(minutes=30)
idle_expires_at = self.last_activity_at + idle_timeout
if now >= idle_expires_at:
return True
return False

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"""
System management models for version tracking, updates, and backups
"""
from datetime import datetime
from typing import Optional, Dict, Any, List
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, JSON, Enum as SQLEnum, BigInteger
from sqlalchemy.sql import func
import uuid
import enum
from app.core.database import Base
class UpdateStatus(str, enum.Enum):
"""Update job status states"""
pending = "pending"
in_progress = "in_progress"
completed = "completed"
failed = "failed"
rolled_back = "rolled_back"
class BackupType(str, enum.Enum):
"""Backup types"""
manual = "manual"
pre_update = "pre_update"
scheduled = "scheduled"
class SystemVersion(Base):
"""Track installed system versions"""
__tablename__ = "system_versions"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
version = Column(String(50), nullable=False, index=True)
installed_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
installed_by = Column(String(255), nullable=True) # User email or "system"
is_current = Column(Boolean, default=True, nullable=False)
release_notes = Column(Text, nullable=True)
git_commit = Column(String(40), nullable=True)
def __repr__(self):
return f"<SystemVersion(id={self.id}, version='{self.version}', current={self.is_current})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": self.uuid,
"version": self.version,
"installed_at": self.installed_at.isoformat() if self.installed_at else None,
"installed_by": self.installed_by,
"is_current": self.is_current,
"release_notes": self.release_notes,
"git_commit": self.git_commit
}
class UpdateJob(Base):
"""Track update job execution"""
__tablename__ = "update_jobs"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False, index=True)
target_version = Column(String(50), nullable=False)
status = Column(SQLEnum(UpdateStatus), default=UpdateStatus.pending, nullable=False, index=True)
started_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
completed_at = Column(DateTime(timezone=True), nullable=True)
current_stage = Column(String(100), nullable=True) # e.g., "pulling_images", "backing_up", "migrating_db"
logs = Column(JSON, default=list, nullable=False) # Array of log entries with timestamps
error_message = Column(Text, nullable=True)
backup_id = Column(Integer, nullable=True) # Reference to pre-update backup
started_by = Column(String(255), nullable=True) # User email
rollback_reason = Column(Text, nullable=True)
def __repr__(self):
return f"<UpdateJob(id={self.id}, version='{self.target_version}', status='{self.status}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": self.uuid,
"target_version": self.target_version,
"status": self.status.value if isinstance(self.status, UpdateStatus) else self.status,
"started_at": self.started_at.isoformat() if self.started_at else None,
"completed_at": self.completed_at.isoformat() if self.completed_at else None,
"current_stage": self.current_stage,
"logs": self.logs or [],
"error_message": self.error_message,
"backup_id": self.backup_id,
"started_by": self.started_by,
"rollback_reason": self.rollback_reason
}
def add_log(self, message: str, level: str = "info"):
"""Add a log entry"""
if self.logs is None:
self.logs = []
self.logs.append({
"timestamp": datetime.utcnow().isoformat(),
"level": level,
"message": message
})
class BackupRecord(Base):
"""Track system backups"""
__tablename__ = "backup_records"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False, index=True)
backup_type = Column(SQLEnum(BackupType), nullable=False)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
size_bytes = Column(BigInteger, nullable=True) # Size of backup archive
location = Column(String(500), nullable=False) # Full path to backup file
version = Column(String(50), nullable=True) # System version at backup time
components = Column(JSON, default=dict, nullable=False) # Which components backed up
checksum = Column(String(64), nullable=True) # SHA256 checksum
created_by = Column(String(255), nullable=True) # User email or "system"
description = Column(Text, nullable=True)
is_valid = Column(Boolean, default=True, nullable=False) # False if corrupted
expires_at = Column(DateTime(timezone=True), nullable=True) # Retention policy
def __repr__(self):
return f"<BackupRecord(id={self.id}, type='{self.backup_type}', version='{self.version}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": self.uuid,
"backup_type": self.backup_type.value if isinstance(self.backup_type, BackupType) else self.backup_type,
"created_at": self.created_at.isoformat() if self.created_at else None,
"size_bytes": self.size_bytes,
"size": self.size_bytes, # Alias for frontend compatibility
"size_mb": round(self.size_bytes / (1024 * 1024), 2) if self.size_bytes else None,
"location": self.location,
"version": self.version,
"components": self.components or {},
"checksum": self.checksum,
"created_by": self.created_by,
"description": self.description,
"is_valid": self.is_valid,
"expires_at": self.expires_at.isoformat() if self.expires_at else None,
"download_url": f"/api/v1/system/backups/{self.uuid}/download" if self.is_valid else None
}

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"""
Tenant database model
"""
from datetime import datetime
from typing import Optional, Dict, Any
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, ForeignKey, UniqueConstraint, JSON, Numeric
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class Tenant(Base):
"""Tenant model for multi-tenancy"""
__tablename__ = "tenants"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
name = Column(String(100), nullable=False)
domain = Column(String(50), unique=True, nullable=False, index=True)
template = Column(String(20), nullable=False, default="basic")
status = Column(
String(20),
nullable=False,
default="pending",
index=True
) # pending, deploying, active, suspended, terminated
max_users = Column(Integer, nullable=False, default=100)
resource_limits = Column(
JSON,
nullable=False,
default=lambda: {"cpu": "1000m", "memory": "2Gi", "storage": "10Gi"}
)
namespace = Column(String(100), unique=True, nullable=False)
subdomain = Column(String(50), unique=True, nullable=False)
database_path = Column(String(255), nullable=True)
encryption_key = Column(Text, nullable=True)
# Frontend URL (for password reset emails, etc.)
# If not set, defaults to http://localhost:3002
frontend_url = Column(String(255), nullable=True)
# API Keys (encrypted)
api_keys = Column(JSON, default=dict) # {"groq": {"key": "encrypted", "enabled": true}, ...}
api_key_encryption_version = Column(String(20), default="v1")
# Feature toggles
optics_enabled = Column(Boolean, default=False) # Enable Optics cost tracking tab
# Budget fields (Issue #234)
monthly_budget_cents = Column(Integer, nullable=True) # NULL = unlimited
budget_warning_threshold = Column(Integer, default=80) # Percentage
budget_critical_threshold = Column(Integer, default=90) # Percentage
budget_enforcement_enabled = Column(Boolean, default=True)
# Per-tenant storage pricing overrides (Issue #218)
# Hot tier: NULL = use system default ($0.15/GiB/month)
storage_price_dataset_hot = Column(Numeric(10, 4), nullable=True)
storage_price_conversation_hot = Column(Numeric(10, 4), nullable=True)
# Cold tier: Allocation-based model
# Monthly cost = allocated_tibs × price_per_tib
cold_storage_allocated_tibs = Column(Numeric(10, 4), nullable=True) # NULL = no cold storage
cold_storage_price_per_tib = Column(Numeric(10, 2), nullable=True, default=10.00) # Default $10/TiB/month
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
deleted_at = Column(DateTime(timezone=True), nullable=True)
# Relationships
# users relationship replaced with user_assignments for multi-tenant support
user_assignments = relationship("UserTenantAssignment", back_populates="tenant", cascade="all, delete-orphan")
tenant_resources = relationship("TenantResource", back_populates="tenant", cascade="all, delete-orphan")
usage_records = relationship("UsageRecord", back_populates="tenant", cascade="all, delete-orphan")
audit_logs = relationship("AuditLog", back_populates="tenant", cascade="all, delete-orphan")
# Resource management relationships
resource_quotas = relationship("ResourceQuota", back_populates="tenant", cascade="all, delete-orphan")
resource_usage_records = relationship("ResourceUsage", back_populates="tenant", cascade="all, delete-orphan")
resource_alerts = relationship("ResourceAlert", back_populates="tenant", cascade="all, delete-orphan")
# Model access relationships
model_configs = relationship("TenantModelConfig", back_populates="tenant", cascade="all, delete-orphan")
def __repr__(self):
return f"<Tenant(id={self.id}, domain='{self.domain}', status='{self.status}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert tenant to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"name": self.name,
"domain": self.domain,
"template": self.template,
"status": self.status,
"max_users": self.max_users,
"resource_limits": self.resource_limits,
"namespace": self.namespace,
"subdomain": self.subdomain,
"frontend_url": self.frontend_url,
"api_keys_configured": {k: v.get('enabled', False) for k, v in (self.api_keys or {}).items()},
"optics_enabled": self.optics_enabled or False,
"monthly_budget_cents": self.monthly_budget_cents,
"budget_warning_threshold": self.budget_warning_threshold or 80,
"budget_critical_threshold": self.budget_critical_threshold or 90,
"budget_enforcement_enabled": self.budget_enforcement_enabled or False,
"storage_price_dataset_hot": float(self.storage_price_dataset_hot) if self.storage_price_dataset_hot else None,
"storage_price_conversation_hot": float(self.storage_price_conversation_hot) if self.storage_price_conversation_hot else None,
"cold_storage_allocated_tibs": float(self.cold_storage_allocated_tibs) if self.cold_storage_allocated_tibs else None,
"cold_storage_price_per_tib": float(self.cold_storage_price_per_tib) if self.cold_storage_price_per_tib else 10.00,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
@property
def is_active(self) -> bool:
"""Check if tenant is active"""
return self.status == "active" and self.deleted_at is None
class TenantResource(Base):
"""Tenant resource assignments"""
__tablename__ = "tenant_resources"
id = Column(Integer, primary_key=True, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False)
resource_id = Column(Integer, ForeignKey("ai_resources.id", ondelete="CASCADE"), nullable=False)
usage_limits = Column(
JSON,
nullable=False,
default=lambda: {"max_requests_per_hour": 1000, "max_tokens_per_request": 4000}
)
is_enabled = Column(Boolean, nullable=False, default=True)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationships
tenant = relationship("Tenant", back_populates="tenant_resources")
ai_resource = relationship("AIResource", back_populates="tenant_resources")
# Unique constraint
__table_args__ = (
UniqueConstraint('tenant_id', 'resource_id', name='unique_tenant_resource'),
)
def __repr__(self):
return f"<TenantResource(tenant_id={self.tenant_id}, resource_id={self.resource_id})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert tenant resource to dictionary"""
return {
"id": self.id,
"tenant_id": self.tenant_id,
"resource_id": self.resource_id,
"usage_limits": self.usage_limits,
"is_enabled": self.is_enabled,
"created_at": self.created_at.isoformat() if self.created_at else None
}

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"""
Tenant Model Configuration Database Schema for GT 2.0 Admin Control Panel
This model manages which AI models are available to which tenants,
along with tenant-specific permissions and rate limits.
"""
from sqlalchemy import Column, String, JSON, Boolean, DateTime, Integer, ForeignKey, UniqueConstraint
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from typing import Dict, Any, List, Optional
from datetime import datetime
from app.core.database import Base
class TenantModelConfig(Base):
"""Configuration linking tenants to available models with permissions"""
__tablename__ = "tenant_model_configs"
# Primary key
id = Column(Integer, primary_key=True, autoincrement=True)
# Foreign keys
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
# New UUID foreign key to model_configs.id
model_config_id = Column(UUID(as_uuid=True), ForeignKey("model_configs.id", ondelete="CASCADE"), nullable=False, index=True)
# Keep model_id for backwards compatibility and easier queries (denormalized)
model_id = Column(String(255), nullable=False, index=True)
# Configuration
is_enabled = Column(Boolean, default=True, nullable=False)
# Tenant-specific capabilities (JSON object)
# Example: {"reasoning": true, "function_calling": false, "vision": true}
tenant_capabilities = Column(JSON, default={})
# Tenant-specific rate limits (JSON object)
# Storage: max_requests_per_hour (database format)
# API returns: requests_per_minute (1000/min = 60000/hour)
# Example: {"max_requests_per_hour": 60000, "max_tokens_per_request": 4000, "concurrent_requests": 5}
rate_limits = Column(JSON, default=lambda: {
"max_requests_per_hour": 60000, # 1000 requests per minute
"max_tokens_per_request": 4000,
"concurrent_requests": 5,
"max_cost_per_hour": 10.0
})
# Usage constraints (JSON object)
# Example: {"allowed_users": ["admin", "developer"], "blocked_users": [], "time_restrictions": {}}
usage_constraints = Column(JSON, default={})
# Priority for this tenant (higher = more priority when resources are limited)
priority = Column(Integer, default=1, nullable=False)
# Lifecycle timestamps
created_at = Column(DateTime, default=func.now(), nullable=False)
updated_at = Column(DateTime, default=func.now(), onupdate=func.now(), nullable=False)
# Relationships
tenant = relationship("Tenant", back_populates="model_configs")
model_config = relationship("ModelConfig", back_populates="tenant_configs")
# Unique constraint - one config per tenant-model pair (using UUID now)
__table_args__ = (
UniqueConstraint('tenant_id', 'model_config_id', name='unique_tenant_model_config'),
)
def __repr__(self):
return f"<TenantModelConfig(tenant_id={self.tenant_id}, model_id='{self.model_id}', enabled={self.is_enabled})>"
def to_dict(self) -> Dict[str, Any]:
"""
Convert to dictionary for API responses.
Translation layer: Converts database per-hour values to per-minute for API.
Database stores max_requests_per_hour, API returns requests_per_minute.
"""
# Get raw rate limits from database
db_rate_limits = self.rate_limits or {}
# Translate max_requests_per_hour to requests_per_minute
api_rate_limits = {}
for key, value in db_rate_limits.items():
if key == "max_requests_per_hour":
# Convert to per-minute for API response
api_rate_limits["requests_per_minute"] = value // 60
else:
# Keep other fields as-is
api_rate_limits[key] = value
return {
"id": self.id,
"tenant_id": self.tenant_id,
"model_config_id": str(self.model_config_id) if self.model_config_id else None,
"model_id": self.model_id,
"is_enabled": self.is_enabled,
"tenant_capabilities": self.tenant_capabilities or {},
"rate_limits": api_rate_limits, # Translated to per-minute
"usage_constraints": self.usage_constraints or {},
"priority": self.priority,
"created_at": self.created_at.isoformat(),
"updated_at": self.updated_at.isoformat()
}
def can_user_access(self, user_capabilities: List[str], user_id: str) -> bool:
"""
Check if a user can access this model based on tenant configuration
Args:
user_capabilities: List of user capability strings
user_id: User identifier
Returns:
True if user can access the model
"""
if not self.is_enabled:
return False
constraints = self.usage_constraints or {}
# Check if user is explicitly blocked
if user_id in constraints.get("blocked_users", []):
return False
# Check if there's an allowed users list and user is not in it
allowed_users = constraints.get("allowed_users", [])
if allowed_users and user_id not in allowed_users:
return False
# Check if user has required capabilities for tenant-specific model access
required_caps = constraints.get("required_capabilities", [])
if required_caps:
for required_cap in required_caps:
if required_cap not in user_capabilities:
return False
return True
def get_effective_rate_limits(self) -> Dict[str, Any]:
"""Get effective rate limits with defaults (database format: per-hour)"""
defaults = {
"max_requests_per_hour": 60000, # 1000 requests per minute
"max_tokens_per_request": 4000,
"concurrent_requests": 5,
"max_cost_per_hour": 10.0
}
rate_limits = self.rate_limits or {}
return {**defaults, **rate_limits}
def check_rate_limit(self, metric: str, current_value: float) -> bool:
"""
Check if current usage is within rate limits
Args:
metric: Rate limit metric name
current_value: Current usage value
Returns:
True if within limits
"""
limits = self.get_effective_rate_limits()
limit = limits.get(metric)
if limit is None:
return True # No limit set
return current_value <= limit
@classmethod
def create_default_config(
cls,
tenant_id: int,
model_id: str,
model_config_id: Optional['UUID'] = None,
custom_rate_limits: Optional[Dict[str, Any]] = None,
custom_capabilities: Optional[Dict[str, Any]] = None
) -> 'TenantModelConfig':
"""
Create a default tenant model configuration
Args:
tenant_id: Tenant identifier
model_id: Model identifier (string, for backwards compatibility)
model_config_id: UUID of the model_configs record (required for FK)
custom_rate_limits: Optional custom rate limits
custom_capabilities: Optional custom capabilities
Returns:
New TenantModelConfig instance
"""
default_rate_limits = {
"max_requests_per_hour": 60000, # 1000 requests per minute
"max_tokens_per_request": 4000,
"concurrent_requests": 5,
"max_cost_per_hour": 10.0
}
if custom_rate_limits:
default_rate_limits.update(custom_rate_limits)
return cls(
tenant_id=tenant_id,
model_config_id=model_config_id,
model_id=model_id,
is_enabled=True,
tenant_capabilities=custom_capabilities or {},
rate_limits=default_rate_limits,
usage_constraints={},
priority=1
)

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"""
Tenant Template Model
Stores reusable tenant configuration templates
"""
from datetime import datetime
from typing import Dict, Any
from sqlalchemy import Column, Integer, String, Text, Boolean, DateTime
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.sql import func
from app.core.database import Base
class TenantTemplate(Base):
"""Tenant template model for storing reusable configurations"""
__tablename__ = "tenant_templates"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(100), nullable=False, index=True)
description = Column(Text, nullable=True)
template_data = Column(JSONB, nullable=False)
is_default = Column(Boolean, nullable=False, default=False)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
def __repr__(self):
return f"<TenantTemplate(id={self.id}, name='{self.name}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert template to dictionary"""
return {
"id": self.id,
"name": self.name,
"description": self.description,
"template_data": self.template_data,
"is_default": self.is_default,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
def get_summary(self) -> Dict[str, Any]:
"""Get template summary with resource counts"""
model_count = len(self.template_data.get("model_configs", []))
agent_count = len(self.template_data.get("agents", []))
dataset_count = len(self.template_data.get("datasets", []))
return {
"id": self.id,
"name": self.name,
"description": self.description,
"is_default": self.is_default,
"resource_counts": {
"models": model_count,
"agents": agent_count,
"datasets": dataset_count
},
"created_at": self.created_at.isoformat() if self.created_at else None
}

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"""
TFA Verification Rate Limiting Model
Tracks failed TFA verification attempts per user with 1-minute rolling windows.
"""
from datetime import datetime, timedelta, timezone
from sqlalchemy import Column, Integer, DateTime, ForeignKey, select
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from app.core.database import Base
class TFAVerificationRateLimit(Base):
"""Track TFA verification attempts per user (user-based rate limiting only)"""
__tablename__ = "tfa_verification_rate_limits"
id = Column(Integer, primary_key=True, index=True)
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
request_count = Column(Integer, nullable=False, default=1)
window_start = Column(DateTime(timezone=True), nullable=False)
window_end = Column(DateTime(timezone=True), nullable=False, index=True)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationship
user = relationship("User", foreign_keys=[user_id])
@staticmethod
async def is_rate_limited(user_id: int, db_session) -> bool:
"""
Check if user is rate limited (5 attempts per 1 minute) - async
Args:
user_id: User ID to check
db_session: AsyncSession
Returns:
True if rate limited, False otherwise
"""
now = datetime.now(timezone.utc)
# Find active rate limit record for this user
result = await db_session.execute(
select(TFAVerificationRateLimit).where(
TFAVerificationRateLimit.user_id == user_id,
TFAVerificationRateLimit.window_end > now
)
)
record = result.scalar_one_or_none()
if not record:
return False
# Check if limit exceeded (5 attempts per minute)
return record.request_count >= 5
@staticmethod
async def record_attempt(user_id: int, db_session) -> None:
"""
Record a TFA verification attempt for user - async
Args:
user_id: User ID
db_session: AsyncSession
"""
now = datetime.now(timezone.utc)
# Find or create rate limit record
result = await db_session.execute(
select(TFAVerificationRateLimit).where(
TFAVerificationRateLimit.user_id == user_id,
TFAVerificationRateLimit.window_end > now
)
)
record = result.scalar_one_or_none()
if record:
# Increment existing record
record.request_count += 1
else:
# Create new record with 1-minute window
record = TFAVerificationRateLimit(
user_id=user_id,
request_count=1,
window_start=now,
window_end=now + timedelta(minutes=1)
)
db_session.add(record)
await db_session.commit()
@staticmethod
def cleanup_expired(db_session) -> int:
"""
Clean up expired rate limit records
Args:
db_session: Database session
Returns:
Number of records deleted
"""
now = datetime.utcnow()
deleted = db_session.query(TFAVerificationRateLimit).filter(
TFAVerificationRateLimit.window_end < now
).delete()
db_session.commit()
return deleted
def __repr__(self):
return f"<TFAVerificationRateLimit(user_id={self.user_id}, count={self.request_count}, window_end={self.window_end})>"

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"""
Usage tracking database model
"""
from datetime import datetime
from typing import Dict, Any
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey, JSON
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from app.core.database import Base
class UsageRecord(Base):
"""Usage tracking for billing and monitoring"""
__tablename__ = "usage_records"
id = Column(Integer, primary_key=True, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_id = Column(Integer, ForeignKey("ai_resources.id", ondelete="CASCADE"), nullable=False, index=True)
user_email = Column(String(255), nullable=False, index=True)
request_type = Column(String(50), nullable=False, index=True) # chat, embedding, image_generation, etc.
tokens_used = Column(Integer, nullable=False, default=0)
cost_cents = Column(Integer, nullable=False, default=0)
request_metadata = Column(JSON, nullable=False, default=dict)
# Timestamp
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False, index=True)
# Relationships
tenant = relationship("Tenant", back_populates="usage_records")
ai_resource = relationship("AIResource", back_populates="usage_records")
def __repr__(self):
return f"<UsageRecord(id={self.id}, tenant_id={self.tenant_id}, tokens={self.tokens_used})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert usage record to dictionary"""
return {
"id": self.id,
"tenant_id": self.tenant_id,
"resource_id": self.resource_id,
"user_email": self.user_email,
"request_type": self.request_type,
"tokens_used": self.tokens_used,
"cost_cents": self.cost_cents,
"request_metadata": self.request_metadata,
"created_at": self.created_at.isoformat() if self.created_at else None
}
@property
def cost_dollars(self) -> float:
"""Get cost in dollars"""
return self.cost_cents / 100.0
@classmethod
def calculate_cost(cls, tokens_used: int, resource_type: str, provider: str) -> int:
"""Calculate cost in cents based on usage"""
# Cost calculation logic (example rates)
if provider == "groq":
if resource_type == "llm":
# Groq LLM pricing: ~$0.0001 per 1K tokens
return max(1, int((tokens_used / 1000) * 0.01 * 100)) # Convert to cents
elif resource_type == "embedding":
# Embedding pricing: ~$0.00002 per 1K tokens
return max(1, int((tokens_used / 1000) * 0.002 * 100)) # Convert to cents
# Default fallback cost
return max(1, int((tokens_used / 1000) * 0.001 * 100)) # 0.1 cents per 1K tokens

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"""
Used Temp Token Model for Replay Prevention and TFA Session Management
Tracks temporary tokens that have been used for TFA verification to prevent replay attacks.
Also serves as TFA session storage for server-side session management.
"""
from datetime import datetime, timedelta, timezone
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey, Boolean, Text
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from app.core.database import Base
class UsedTempToken(Base):
"""
Track used temporary tokens to prevent replay attacks.
Also stores TFA session data for server-side session management.
"""
__tablename__ = "used_temp_tokens"
id = Column(Integer, primary_key=True, index=True)
token_id = Column(String(255), nullable=False, unique=True, index=True)
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False)
used_at = Column(DateTime(timezone=True), nullable=True) # NULL until token is used
expires_at = Column(DateTime(timezone=True), nullable=False, index=True)
# TFA Session Data (for server-side session management)
user_email = Column(String(255), nullable=True) # User email for TFA session
tfa_configured = Column(Boolean, nullable=True) # Whether TFA is already configured
qr_code_uri = Column(Text, nullable=True) # QR code data URI (only if setup needed)
manual_entry_key = Column(String(255), nullable=True) # Manual entry key (only if setup needed)
temp_token = Column(Text, nullable=True) # Actual JWT temp token for verification
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationship
user = relationship("User", foreign_keys=[user_id])
@staticmethod
async def is_token_used(token_id: str, db_session) -> bool:
"""
Check if token has already been used (async)
Note: A token is "used" if used_at is NOT NULL.
Records with used_at=NULL are active TFA sessions, not used tokens.
Args:
token_id: Unique token identifier
db_session: AsyncSession
Returns:
True if token has been used (used_at is set), False otherwise
"""
from sqlalchemy import select
result = await db_session.execute(
select(UsedTempToken).where(
UsedTempToken.token_id == token_id,
UsedTempToken.used_at.isnot(None), # Check if used_at is set
UsedTempToken.expires_at > datetime.now(timezone.utc)
)
)
record = result.scalar_one_or_none()
return record is not None
@staticmethod
def create_tfa_session(
token_id: str,
user_id: int,
user_email: str,
tfa_configured: bool,
temp_token: str,
qr_code_uri: str = None,
manual_entry_key: str = None,
db_session = None,
expires_minutes: int = 5
) -> 'UsedTempToken':
"""
Create a new TFA session (server-side)
Args:
token_id: Unique token identifier (session ID)
user_id: User ID
user_email: User email
tfa_configured: Whether TFA is already configured
temp_token: JWT temp token for verification
qr_code_uri: QR code data URI (if setup needed)
manual_entry_key: Manual entry key (if setup needed)
db_session: Database session
expires_minutes: Minutes until expiry (default 5)
Returns:
Created session record
"""
now = datetime.now(timezone.utc)
record = UsedTempToken(
token_id=token_id,
user_id=user_id,
user_email=user_email,
tfa_configured=tfa_configured,
temp_token=temp_token,
qr_code_uri=qr_code_uri,
manual_entry_key=manual_entry_key,
created_at=now,
used_at=None, # Not used yet
expires_at=now + timedelta(minutes=expires_minutes)
)
db_session.add(record)
db_session.commit()
return record
@staticmethod
def mark_token_used(token_id: str, user_id: int, db_session, expires_minutes: int = 5) -> None:
"""
Mark token as used (backward compatibility for existing code)
Args:
token_id: Unique token identifier
user_id: User ID
db_session: Database session
expires_minutes: Minutes until expiry (default 5)
"""
now = datetime.now(timezone.utc)
record = UsedTempToken(
token_id=token_id,
user_id=user_id,
used_at=now,
expires_at=now + timedelta(minutes=expires_minutes)
)
db_session.add(record)
db_session.commit()
@staticmethod
def cleanup_expired(db_session) -> int:
"""
Clean up expired token records
Args:
db_session: Database session
Returns:
Number of records deleted
"""
now = datetime.now(timezone.utc)
deleted = db_session.query(UsedTempToken).filter(
UsedTempToken.expires_at < now
).delete()
db_session.commit()
return deleted
def __repr__(self):
return f"<UsedTempToken(token_id={self.token_id}, user_id={self.user_id}, used_at={self.used_at})>"

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"""
User database model
"""
from datetime import datetime
from typing import Optional, Dict, Any, List
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, ForeignKey, JSON
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class User(Base):
"""User model with capability-based authorization"""
__tablename__ = "users"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
email = Column(String(255), unique=True, nullable=False, index=True)
full_name = Column(String(100), nullable=False)
hashed_password = Column(String(255), nullable=False)
user_type = Column(
String(20),
nullable=False,
default="tenant_user"
) # super_admin, tenant_admin, tenant_user
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=True)
current_tenant_id = Column(Integer, ForeignKey("tenants.id"), nullable=True, index=True) # Current active tenant for multi-tenant users
capabilities = Column(JSON, nullable=False, default=list)
is_active = Column(Boolean, nullable=False, default=True)
last_login = Column(DateTime(timezone=True), nullable=True) # For billing calculation
last_login_at = Column(DateTime(timezone=True), nullable=True)
# Two-Factor Authentication fields
tfa_enabled = Column(Boolean, nullable=False, default=False)
tfa_secret = Column(Text, nullable=True) # Encrypted TOTP secret
tfa_required = Column(Boolean, nullable=False, default=False) # Admin can enforce TFA
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
deleted_at = Column(DateTime(timezone=True), nullable=True)
# Relationships
tenant_assignments = relationship("UserTenantAssignment", foreign_keys="UserTenantAssignment.user_id", back_populates="user", cascade="all, delete-orphan")
audit_logs = relationship("AuditLog", back_populates="user", cascade="all, delete-orphan")
resource_data = relationship("UserResourceData", back_populates="user", cascade="all, delete-orphan")
preferences = relationship("UserPreferences", back_populates="user", cascade="all, delete-orphan", uselist=False)
progress = relationship("UserProgress", back_populates="user", cascade="all, delete-orphan")
sessions = relationship("Session", back_populates="user", passive_deletes=True) # Let DB CASCADE handle deletion
def __repr__(self):
return f"<User(id={self.id}, email='{self.email}', user_type='{self.user_type}')>"
def to_dict(self, include_sensitive: bool = False, include_tenants: bool = False) -> Dict[str, Any]:
"""Convert user to dictionary"""
data = {
"id": self.id,
"uuid": str(self.uuid),
"email": self.email,
"full_name": self.full_name,
"user_type": self.user_type,
"current_tenant_id": self.current_tenant_id,
"capabilities": self.capabilities,
"is_active": self.is_active,
"last_login_at": self.last_login_at.isoformat() if self.last_login_at else None,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
# TFA fields (never include tfa_secret for security)
"tfa_enabled": self.tfa_enabled,
"tfa_required": self.tfa_required,
"tfa_status": self.tfa_status
}
if include_tenants:
data["tenant_assignments"] = [
assignment.to_dict() for assignment in self.tenant_assignments
if assignment.is_active and not assignment.deleted_at
]
if include_sensitive:
data["hashed_password"] = self.hashed_password
return data
@property
def is_super_admin(self) -> bool:
"""Check if user is super admin"""
return self.user_type == "super_admin"
@property
def is_tenant_admin(self) -> bool:
"""Check if user is tenant admin"""
return self.user_type == "tenant_admin"
@property
def is_tenant_user(self) -> bool:
"""Check if user is regular tenant user"""
return self.user_type == "tenant_user"
@property
def tfa_status(self) -> str:
"""Get TFA status: disabled, enabled, or enforced"""
if self.tfa_required:
return "enforced"
elif self.tfa_enabled:
return "enabled"
else:
return "disabled"
def has_capability(self, resource: str, action: str) -> bool:
"""Check if user has specific capability"""
if not self.capabilities:
return False
for capability in self.capabilities:
# Check resource match (support wildcards)
resource_match = (
capability.get("resource") == "*" or
capability.get("resource") == resource or
(capability.get("resource", "").endswith("*") and
resource.startswith(capability.get("resource", "").rstrip("*")))
)
# Check action match
actions = capability.get("actions", [])
action_match = "*" in actions or action in actions
if resource_match and action_match:
# Check constraints if present
constraints = capability.get("constraints", {})
if constraints:
# Check validity period
valid_until = constraints.get("valid_until")
if valid_until:
from datetime import datetime
if datetime.fromisoformat(valid_until.replace('Z', '+00:00')) < datetime.now():
continue
return True
return False
def get_tenant_assignment(self, tenant_id: int) -> Optional['UserTenantAssignment']:
"""Get user's assignment for specific tenant"""
from app.models.user_tenant_assignment import UserTenantAssignment
for assignment in self.tenant_assignments:
if assignment.tenant_id == tenant_id and assignment.is_active and not assignment.deleted_at:
return assignment
return None
def get_current_tenant_assignment(self) -> Optional['UserTenantAssignment']:
"""Get user's current active tenant assignment"""
if not self.current_tenant_id:
return self.get_primary_tenant_assignment()
return self.get_tenant_assignment(self.current_tenant_id)
def get_primary_tenant_assignment(self) -> Optional['UserTenantAssignment']:
"""Get user's primary tenant assignment"""
for assignment in self.tenant_assignments:
if assignment.is_primary_tenant and assignment.is_active and not assignment.deleted_at:
return assignment
# Fallback to first active assignment
active_assignments = [a for a in self.tenant_assignments if a.is_active and not a.deleted_at]
return active_assignments[0] if active_assignments else None
def get_available_tenants(self) -> List['UserTenantAssignment']:
"""Get all tenant assignments user has access to"""
return [
assignment for assignment in self.tenant_assignments
if assignment.is_active and not assignment.deleted_at
]
def has_tenant_access(self, tenant_id: int) -> bool:
"""Check if user has access to specific tenant"""
return self.get_tenant_assignment(tenant_id) is not None
def switch_to_tenant(self, tenant_id: int) -> bool:
"""Switch user's current tenant context"""
if self.has_tenant_access(tenant_id):
self.current_tenant_id = tenant_id
return True
return False
def get_tenant_capabilities(self, tenant_id: Optional[int] = None) -> List[Dict[str, Any]]:
"""Get capabilities for specific tenant or current tenant"""
target_tenant_id = tenant_id or self.current_tenant_id
if not target_tenant_id:
return []
assignment = self.get_tenant_assignment(target_tenant_id)
if not assignment:
return []
return assignment.tenant_capabilities or []
def has_tenant_capability(self, resource: str, action: str, tenant_id: Optional[int] = None) -> bool:
"""Check if user has specific capability in tenant"""
target_tenant_id = tenant_id or self.current_tenant_id
if not target_tenant_id:
return False
assignment = self.get_tenant_assignment(target_tenant_id)
if not assignment:
return False
return assignment.has_capability(resource, action)
def is_tenant_admin(self, tenant_id: Optional[int] = None) -> bool:
"""Check if user is admin in specific tenant"""
target_tenant_id = tenant_id or self.current_tenant_id
if not target_tenant_id:
return False
assignment = self.get_tenant_assignment(target_tenant_id)
if not assignment:
return False
return assignment.is_tenant_admin
def get_current_tenant_context(self) -> Optional[Dict[str, Any]]:
"""Get current tenant context for JWT token"""
assignment = self.get_current_tenant_assignment()
if not assignment:
return None
return assignment.get_tenant_context()

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"""
User data separation models for comprehensive personalization support
Supports 3 personalization modes:
- Shared: Data shared across all users (default for most resources)
- User-scoped: Each user has isolated data (conversations, preferences, progress)
- Session-based: Data isolated per session (temporary, disposable)
"""
from datetime import datetime, timedelta
from typing import Dict, Any, Optional
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, Float, JSON, ForeignKey
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class UserResourceData(Base):
"""User-specific data for resources that support personalization"""
__tablename__ = "user_resource_data"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Foreign Keys
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_id = Column(Integer, ForeignKey("ai_resources.id", ondelete="CASCADE"), nullable=False, index=True)
# Data Storage
data_type = Column(String(50), nullable=False, index=True) # preferences, progress, state, conversation
data_key = Column(String(100), nullable=False, index=True) # Identifier for the specific data
data_value = Column(JSON, nullable=False, default=dict) # The actual data
# Metadata
is_encrypted = Column(Boolean, nullable=False, default=False)
expiry_date = Column(DateTime(timezone=True), nullable=True) # For session-based data
version = Column(Integer, nullable=False, default=1) # For data versioning
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
accessed_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationships
user = relationship("User", back_populates="resource_data")
tenant = relationship("Tenant")
resource = relationship("AIResource")
def __repr__(self):
return f"<UserResourceData(user_id={self.user_id}, resource_id={self.resource_id}, data_type='{self.data_type}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"resource_id": self.resource_id,
"data_type": self.data_type,
"data_key": self.data_key,
"data_value": self.data_value,
"is_encrypted": self.is_encrypted,
"expiry_date": self.expiry_date.isoformat() if self.expiry_date else None,
"version": self.version,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
"accessed_at": self.accessed_at.isoformat() if self.accessed_at else None
}
@property
def is_expired(self) -> bool:
"""Check if data has expired (for session-based resources)"""
if not self.expiry_date:
return False
return datetime.utcnow() > self.expiry_date
def update_access_time(self) -> None:
"""Update the last accessed timestamp"""
self.accessed_at = datetime.utcnow()
class UserPreferences(Base):
"""User preferences for various resources and system settings"""
__tablename__ = "user_preferences"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Foreign Keys
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
# Preference Categories
ui_preferences = Column(JSON, nullable=False, default=dict) # Theme, layout, accessibility
ai_preferences = Column(JSON, nullable=False, default=dict) # Model preferences, system prompts
learning_preferences = Column(JSON, nullable=False, default=dict) # AI literacy settings, difficulty
privacy_preferences = Column(JSON, nullable=False, default=dict) # Data sharing, analytics opt-out
notification_preferences = Column(JSON, nullable=False, default=dict) # Email, in-app notifications
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
# Relationships
user = relationship("User", back_populates="preferences")
tenant = relationship("Tenant")
def __repr__(self):
return f"<UserPreferences(user_id={self.user_id}, tenant_id={self.tenant_id})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"ui_preferences": self.ui_preferences,
"ai_preferences": self.ai_preferences,
"learning_preferences": self.learning_preferences,
"privacy_preferences": self.privacy_preferences,
"notification_preferences": self.notification_preferences,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
def get_preference(self, category: str, key: str, default: Any = None) -> Any:
"""Get a specific preference value"""
category_data = getattr(self, f"{category}_preferences", {})
return category_data.get(key, default)
def set_preference(self, category: str, key: str, value: Any) -> None:
"""Set a specific preference value"""
if hasattr(self, f"{category}_preferences"):
current_prefs = getattr(self, f"{category}_preferences") or {}
current_prefs[key] = value
setattr(self, f"{category}_preferences", current_prefs)
class UserProgress(Base):
"""User progress tracking for AI literacy and learning resources"""
__tablename__ = "user_progress"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Foreign Keys
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_id = Column(Integer, ForeignKey("ai_resources.id", ondelete="CASCADE"), nullable=False, index=True)
# Progress Data
skill_area = Column(String(50), nullable=False, index=True) # chess, logic, critical_thinking, etc.
current_level = Column(String(20), nullable=False, default="beginner") # beginner, intermediate, expert
experience_points = Column(Integer, nullable=False, default=0)
completion_percentage = Column(Float, nullable=False, default=0.0) # 0.0 to 100.0
# Performance Metrics
total_sessions = Column(Integer, nullable=False, default=0)
total_time_minutes = Column(Integer, nullable=False, default=0)
success_rate = Column(Float, nullable=False, default=0.0) # 0.0 to 100.0
average_score = Column(Float, nullable=False, default=0.0)
# Detailed Progress Data
achievements = Column(JSON, nullable=False, default=list) # List of earned achievements
milestones = Column(JSON, nullable=False, default=dict) # Progress milestones
learning_analytics = Column(JSON, nullable=False, default=dict) # Detailed analytics data
# Adaptive Learning
difficulty_adjustments = Column(JSON, nullable=False, default=dict) # Difficulty level adjustments
strength_areas = Column(JSON, nullable=False, default=list) # Areas of strength
improvement_areas = Column(JSON, nullable=False, default=list) # Areas needing improvement
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
last_activity = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationships
user = relationship("User", back_populates="progress")
tenant = relationship("Tenant")
resource = relationship("AIResource")
def __repr__(self):
return f"<UserProgress(user_id={self.user_id}, skill_area='{self.skill_area}', level='{self.current_level}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"resource_id": self.resource_id,
"skill_area": self.skill_area,
"current_level": self.current_level,
"experience_points": self.experience_points,
"completion_percentage": self.completion_percentage,
"total_sessions": self.total_sessions,
"total_time_minutes": self.total_time_minutes,
"success_rate": self.success_rate,
"average_score": self.average_score,
"achievements": self.achievements,
"milestones": self.milestones,
"learning_analytics": self.learning_analytics,
"difficulty_adjustments": self.difficulty_adjustments,
"strength_areas": self.strength_areas,
"improvement_areas": self.improvement_areas,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
"last_activity": self.last_activity.isoformat() if self.last_activity else None
}
def add_achievement(self, achievement: str) -> None:
"""Add an achievement to the user's list"""
if achievement not in self.achievements:
achievements = self.achievements or []
achievements.append(achievement)
self.achievements = achievements
def update_score(self, new_score: float) -> None:
"""Update average score with new score"""
if self.total_sessions == 0:
self.average_score = new_score
else:
total_score = self.average_score * self.total_sessions
total_score += new_score
self.total_sessions += 1
self.average_score = total_score / self.total_sessions
def calculate_success_rate(self, successful_attempts: int, total_attempts: int) -> None:
"""Calculate and update success rate"""
if total_attempts > 0:
self.success_rate = (successful_attempts / total_attempts) * 100.0
class SessionData(Base):
"""Session-based data for temporary, disposable user interactions"""
__tablename__ = "session_data"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Foreign Keys
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
resource_id = Column(Integer, ForeignKey("ai_resources.id", ondelete="CASCADE"), nullable=False, index=True)
# Session Info
session_id = Column(String(100), nullable=False, index=True) # Browser/app session ID
data_type = Column(String(50), nullable=False, index=True) # conversation, game_state, temp_files
data_content = Column(JSON, nullable=False, default=dict) # Session-specific data
# Auto-cleanup
expires_at = Column(DateTime(timezone=True), nullable=False, index=True)
auto_cleanup = Column(Boolean, nullable=False, default=True)
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
last_accessed = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationships
user = relationship("User")
tenant = relationship("Tenant")
resource = relationship("AIResource")
def __repr__(self):
return f"<SessionData(session_id='{self.session_id}', user_id={self.user_id}, data_type='{self.data_type}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"resource_id": self.resource_id,
"session_id": self.session_id,
"data_type": self.data_type,
"data_content": self.data_content,
"expires_at": self.expires_at.isoformat() if self.expires_at else None,
"auto_cleanup": self.auto_cleanup,
"created_at": self.created_at.isoformat() if self.created_at else None,
"last_accessed": self.last_accessed.isoformat() if self.last_accessed else None
}
@property
def is_expired(self) -> bool:
"""Check if session data has expired"""
return datetime.utcnow() > self.expires_at
def extend_expiry(self, minutes: int = 60) -> None:
"""Extend the expiry time by specified minutes"""
self.expires_at = datetime.utcnow() + timedelta(minutes=minutes)
self.last_accessed = datetime.utcnow()
# Data separation utility functions
def get_user_data_scope(resource, user_id: int, tenant_id: int, session_id: Optional[str] = None) -> Dict[str, Any]:
"""Get appropriate data scope based on resource personalization mode"""
if resource.personalization_mode == "shared":
return {"scope": "tenant", "tenant_id": tenant_id}
elif resource.personalization_mode == "user_scoped":
return {"scope": "user", "user_id": user_id, "tenant_id": tenant_id}
elif resource.personalization_mode == "session_based":
return {"scope": "session", "user_id": user_id, "tenant_id": tenant_id, "session_id": session_id}
else:
# Default to shared
return {"scope": "tenant", "tenant_id": tenant_id}
def cleanup_expired_session_data() -> None:
"""Utility function to clean up expired session data (should be run periodically)"""
from sqlalchemy.orm import sessionmaker
from app.core.database import engine
Session = sessionmaker(bind=engine)
db = Session()
try:
# Delete expired session data
expired_count = db.query(SessionData).filter(
SessionData.expires_at < datetime.utcnow(),
SessionData.auto_cleanup == True
).delete()
# Clean up expired user resource data
expired_user_data = db.query(UserResourceData).filter(
UserResourceData.expiry_date < datetime.utcnow(),
UserResourceData.expiry_date.isnot(None)
).delete()
db.commit()
return {"session_data_cleaned": expired_count, "user_data_cleaned": expired_user_data}
except Exception as e:
db.rollback()
raise e
finally:
db.close()

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"""
User-Tenant Assignment Model for Multi-Tenant User Management
Manages the many-to-many relationship between users and tenants with
tenant-specific user details, roles, and capabilities.
"""
from datetime import datetime
from typing import Optional, Dict, Any, List
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, ForeignKey, JSON, UniqueConstraint
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class UserTenantAssignment(Base):
"""
User-Tenant Assignment with tenant-specific user details and roles
This model allows users to:
- Belong to multiple tenants with different roles
- Have tenant-specific display names and contact info
- Have different capabilities per tenant
- Track activity per tenant
"""
__tablename__ = "user_tenant_assignments"
# Composite primary key
id = Column(Integer, primary_key=True, index=True)
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
# Tenant-specific user profile
tenant_user_role = Column(
String(20),
nullable=False,
default="tenant_user"
) # super_admin, tenant_admin, tenant_user
tenant_display_name = Column(String(100), nullable=True) # Optional tenant-specific name
tenant_email = Column(String(255), nullable=True, index=True) # Optional tenant-specific email
tenant_department = Column(String(100), nullable=True) # Department within tenant
tenant_title = Column(String(100), nullable=True) # Job title within tenant
# Tenant-specific authentication (optional)
tenant_password_hash = Column(String(255), nullable=True) # Tenant-specific password if required
requires_2fa = Column(Boolean, nullable=False, default=False)
last_password_change = Column(DateTime(timezone=True), nullable=True)
# Tenant-specific permissions and limits
tenant_capabilities = Column(JSON, nullable=False, default=list) # Tenant-specific capabilities
resource_limits = Column(
JSON,
nullable=False,
default=lambda: {
"max_conversations": 100,
"max_datasets": 10,
"max_agents": 20,
"daily_api_calls": 1000
}
)
# Status and activity tracking
is_active = Column(Boolean, nullable=False, default=True)
is_primary_tenant = Column(Boolean, nullable=False, default=False) # User's main tenant
joined_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
last_accessed = Column(DateTime(timezone=True), nullable=True)
last_login_at = Column(DateTime(timezone=True), nullable=True)
# Invitation tracking
invited_by = Column(Integer, ForeignKey("users.id"), nullable=True)
invitation_accepted_at = Column(DateTime(timezone=True), nullable=True)
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
deleted_at = Column(DateTime(timezone=True), nullable=True) # Soft delete
# Relationships
user = relationship("User", foreign_keys=[user_id], back_populates="tenant_assignments")
tenant = relationship("Tenant", back_populates="user_assignments")
inviter = relationship("User", foreign_keys=[invited_by])
# Unique constraint to prevent duplicate assignments
__table_args__ = (
UniqueConstraint('user_id', 'tenant_id', name='unique_user_tenant_assignment'),
)
def __repr__(self):
return f"<UserTenantAssignment(user_id={self.user_id}, tenant_id={self.tenant_id}, role='{self.tenant_user_role}')>"
def to_dict(self, include_sensitive: bool = False) -> Dict[str, Any]:
"""Convert assignment to dictionary"""
data = {
"id": self.id,
"user_id": self.user_id,
"tenant_id": self.tenant_id,
"tenant_user_role": self.tenant_user_role,
"tenant_display_name": self.tenant_display_name,
"tenant_email": self.tenant_email,
"tenant_department": self.tenant_department,
"tenant_title": self.tenant_title,
"requires_2fa": self.requires_2fa,
"tenant_capabilities": self.tenant_capabilities,
"resource_limits": self.resource_limits,
"is_active": self.is_active,
"is_primary_tenant": self.is_primary_tenant,
"joined_at": self.joined_at.isoformat() if self.joined_at else None,
"last_accessed": self.last_accessed.isoformat() if self.last_accessed else None,
"last_login_at": self.last_login_at.isoformat() if self.last_login_at else None,
"invitation_accepted_at": self.invitation_accepted_at.isoformat() if self.invitation_accepted_at else None,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
if include_sensitive:
data["tenant_password_hash"] = self.tenant_password_hash
data["last_password_change"] = self.last_password_change.isoformat() if self.last_password_change else None
return data
@property
def is_tenant_admin(self) -> bool:
"""Check if user is tenant admin in this tenant"""
return self.tenant_user_role in ["super_admin", "tenant_admin"]
@property
def is_super_admin(self) -> bool:
"""Check if user is super admin in this tenant"""
return self.tenant_user_role == "super_admin"
@property
def effective_display_name(self) -> str:
"""Get effective display name (tenant-specific or fallback to user's name)"""
if self.tenant_display_name:
return self.tenant_display_name
return self.user.full_name if self.user else "Unknown User"
@property
def effective_email(self) -> str:
"""Get effective email (tenant-specific or fallback to user's email)"""
if self.tenant_email:
return self.tenant_email
return self.user.email if self.user else "unknown@example.com"
def has_capability(self, resource: str, action: str) -> bool:
"""Check if user has specific capability in this tenant"""
if not self.tenant_capabilities:
return False
for capability in self.tenant_capabilities:
# Check resource match (support wildcards)
resource_match = (
capability.get("resource") == "*" or
capability.get("resource") == resource or
(capability.get("resource", "").endswith("*") and
resource.startswith(capability.get("resource", "").rstrip("*")))
)
# Check action match
actions = capability.get("actions", [])
action_match = "*" in actions or action in actions
if resource_match and action_match:
# Check constraints if present
constraints = capability.get("constraints", {})
if constraints:
# Check validity period
valid_until = constraints.get("valid_until")
if valid_until:
from datetime import datetime
if datetime.fromisoformat(valid_until.replace('Z', '+00:00')) < datetime.now():
continue
return True
return False
def update_last_access(self) -> None:
"""Update last accessed timestamp"""
self.last_accessed = datetime.utcnow()
def update_last_login(self) -> None:
"""Update last login timestamp"""
self.last_login_at = datetime.utcnow()
self.last_accessed = datetime.utcnow()
def get_resource_limit(self, resource_type: str, default: int = 0) -> int:
"""Get resource limit for specific resource type"""
if not self.resource_limits:
return default
return self.resource_limits.get(resource_type, default)
def can_create_resource(self, resource_type: str, current_count: int) -> bool:
"""Check if user can create another resource of given type"""
limit = self.get_resource_limit(resource_type)
return limit == 0 or current_count < limit # 0 means unlimited
def set_as_primary_tenant(self) -> None:
"""Mark this tenant as user's primary tenant"""
# This should be called within a transaction to ensure only one primary per user
self.is_primary_tenant = True
def add_capability(self, resource: str, actions: List[str], constraints: Optional[Dict] = None) -> None:
"""Add a capability to this user-tenant assignment"""
capability = {
"resource": resource,
"actions": actions
}
if constraints:
capability["constraints"] = constraints
if not self.tenant_capabilities:
self.tenant_capabilities = []
# Remove existing capability for same resource if exists
self.tenant_capabilities = [
cap for cap in self.tenant_capabilities
if cap.get("resource") != resource
]
self.tenant_capabilities.append(capability)
def remove_capability(self, resource: str) -> None:
"""Remove capability for specific resource"""
if not self.tenant_capabilities:
return
self.tenant_capabilities = [
cap for cap in self.tenant_capabilities
if cap.get("resource") != resource
]
def get_tenant_context(self) -> Dict[str, Any]:
"""Get tenant context for JWT token"""
return {
"id": str(self.tenant_id), # Ensure tenant ID is string for JWT consistency
"domain": self.tenant.domain if self.tenant else "unknown",
"name": self.tenant.name if self.tenant else "Unknown Tenant",
"role": self.tenant_user_role,
"display_name": self.effective_display_name,
"email": self.effective_email,
"department": self.tenant_department,
"title": self.tenant_title,
"capabilities": self.tenant_capabilities or [],
"resource_limits": self.resource_limits or {},
"is_primary": self.is_primary_tenant
}

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"""
Dynamic Wiki & Documentation System Models
Supports context-aware documentation that adapts based on:
- User's current resource/tool being used
- User's role and permissions
- Tenant configuration
- Learning progress and skill level
Features:
- Versioned content management
- Role-based content visibility
- Interactive tutorials and guides
- Searchable knowledge base
- AI-powered content suggestions
"""
from datetime import datetime
from typing import Dict, Any, List, Optional
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Text, Float, JSON, ForeignKey, Index
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
import uuid
from app.core.database import Base
class WikiPage(Base):
"""Core wiki page model with versioning and context awareness"""
__tablename__ = "wiki_pages"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Page Identity
title = Column(String(200), nullable=False, index=True)
slug = Column(String(250), nullable=False, unique=True, index=True)
category = Column(String(50), nullable=False, index=True) # getting_started, tutorials, reference, troubleshooting
# Content
content = Column(Text, nullable=False) # Markdown content
excerpt = Column(String(500), nullable=True) # Brief description
content_type = Column(
String(20),
nullable=False,
default="markdown",
index=True
) # markdown, html, interactive
# Context Targeting
target_resources = Column(JSON, nullable=False, default=list) # Resource IDs this content applies to
target_roles = Column(JSON, nullable=False, default=list) # User roles this content is for
target_skill_levels = Column(JSON, nullable=False, default=list) # beginner, intermediate, expert
tenant_specific = Column(Boolean, nullable=False, default=False) # Tenant-specific content
# Metadata
tags = Column(JSON, nullable=False, default=list) # Searchable tags
search_keywords = Column(Text, nullable=True) # Additional search terms
featured = Column(Boolean, nullable=False, default=False) # Featured content
priority = Column(Integer, nullable=False, default=100) # Display priority (lower = higher priority)
# Versioning
version = Column(Integer, nullable=False, default=1)
is_current_version = Column(Boolean, nullable=False, default=True, index=True)
parent_page_id = Column(Integer, ForeignKey("wiki_pages.id"), nullable=True) # For versioning
# Publishing
is_published = Column(Boolean, nullable=False, default=False, index=True)
published_at = Column(DateTime(timezone=True), nullable=True)
# Analytics
view_count = Column(Integer, nullable=False, default=0)
helpful_votes = Column(Integer, nullable=False, default=0)
not_helpful_votes = Column(Integer, nullable=False, default=0)
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
# Relationships
versions = relationship("WikiPage", remote_side=[id], cascade="all, delete-orphan")
parent_page = relationship("WikiPage", remote_side=[id])
attachments = relationship("WikiAttachment", back_populates="wiki_page", cascade="all, delete-orphan")
# Indexes for performance
__table_args__ = (
Index('idx_wiki_context', 'category', 'is_published', 'is_current_version'),
Index('idx_wiki_search', 'title', 'tags', 'search_keywords'),
Index('idx_wiki_targeting', 'target_roles', 'target_skill_levels'),
)
def __repr__(self):
return f"<WikiPage(id={self.id}, title='{self.title}', category='{self.category}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"title": self.title,
"slug": self.slug,
"category": self.category,
"content": self.content,
"excerpt": self.excerpt,
"content_type": self.content_type,
"target_resources": self.target_resources,
"target_roles": self.target_roles,
"target_skill_levels": self.target_skill_levels,
"tenant_specific": self.tenant_specific,
"tags": self.tags,
"search_keywords": self.search_keywords,
"featured": self.featured,
"priority": self.priority,
"version": self.version,
"is_current_version": self.is_current_version,
"parent_page_id": self.parent_page_id,
"is_published": self.is_published,
"published_at": self.published_at.isoformat() if self.published_at else None,
"view_count": self.view_count,
"helpful_votes": self.helpful_votes,
"not_helpful_votes": self.not_helpful_votes,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
@property
def helpfulness_score(self) -> float:
"""Calculate helpfulness score (0-100)"""
total_votes = self.helpful_votes + self.not_helpful_votes
if total_votes == 0:
return 0.0
return (self.helpful_votes / total_votes) * 100.0
def increment_view(self) -> None:
"""Increment view count"""
self.view_count += 1
def add_helpful_vote(self) -> None:
"""Add helpful vote"""
self.helpful_votes += 1
def add_not_helpful_vote(self) -> None:
"""Add not helpful vote"""
self.not_helpful_votes += 1
def matches_context(self, resource_ids: List[int], user_role: str, skill_level: str) -> bool:
"""Check if page matches current user context"""
# Check resource targeting
if self.target_resources and not any(rid in self.target_resources for rid in resource_ids):
return False
# Check role targeting
if self.target_roles and user_role not in self.target_roles:
return False
# Check skill level targeting
if self.target_skill_levels and skill_level not in self.target_skill_levels:
return False
return True
class WikiAttachment(Base):
"""Attachments for wiki pages (images, files, etc.)"""
__tablename__ = "wiki_attachments"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Foreign Keys
wiki_page_id = Column(Integer, ForeignKey("wiki_pages.id", ondelete="CASCADE"), nullable=False, index=True)
# File Information
filename = Column(String(255), nullable=False)
original_filename = Column(String(255), nullable=False)
file_type = Column(String(50), nullable=False, index=True) # image, document, video, etc.
mime_type = Column(String(100), nullable=False)
file_size_bytes = Column(Integer, nullable=False)
# Storage
storage_path = Column(String(500), nullable=False) # Path to file in storage
public_url = Column(String(500), nullable=True) # Public URL if applicable
# Metadata
alt_text = Column(String(200), nullable=True) # For accessibility
caption = Column(String(500), nullable=True)
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
# Relationships
wiki_page = relationship("WikiPage", back_populates="attachments")
def __repr__(self):
return f"<WikiAttachment(id={self.id}, filename='{self.filename}', page_id={self.wiki_page_id})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"wiki_page_id": self.wiki_page_id,
"filename": self.filename,
"original_filename": self.original_filename,
"file_type": self.file_type,
"mime_type": self.mime_type,
"file_size_bytes": self.file_size_bytes,
"storage_path": self.storage_path,
"public_url": self.public_url,
"alt_text": self.alt_text,
"caption": self.caption,
"created_at": self.created_at.isoformat() if self.created_at else None
}
class InteractiveTutorial(Base):
"""Interactive step-by-step tutorials"""
__tablename__ = "interactive_tutorials"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Tutorial Identity
title = Column(String(200), nullable=False, index=True)
description = Column(Text, nullable=True)
difficulty_level = Column(String(20), nullable=False, default="beginner", index=True)
estimated_duration = Column(Integer, nullable=True) # Minutes
# Tutorial Structure
steps = Column(JSON, nullable=False, default=list) # Ordered list of tutorial steps
prerequisites = Column(JSON, nullable=False, default=list) # Required knowledge/skills
learning_objectives = Column(JSON, nullable=False, default=list) # What user will learn
# Context
resource_id = Column(Integer, ForeignKey("ai_resources.id"), nullable=True, index=True)
category = Column(String(50), nullable=False, index=True)
tags = Column(JSON, nullable=False, default=list)
# Configuration
allows_skipping = Column(Boolean, nullable=False, default=True)
tracks_progress = Column(Boolean, nullable=False, default=True)
provides_feedback = Column(Boolean, nullable=False, default=True)
# Publishing
is_active = Column(Boolean, nullable=False, default=True, index=True)
# Analytics
completion_count = Column(Integer, nullable=False, default=0)
average_completion_time = Column(Integer, nullable=True) # Minutes
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
# Relationships
resource = relationship("AIResource")
progress_records = relationship("TutorialProgress", back_populates="tutorial", cascade="all, delete-orphan")
def __repr__(self):
return f"<InteractiveTutorial(id={self.id}, title='{self.title}', difficulty='{self.difficulty_level}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"title": self.title,
"description": self.description,
"difficulty_level": self.difficulty_level,
"estimated_duration": self.estimated_duration,
"steps": self.steps,
"prerequisites": self.prerequisites,
"learning_objectives": self.learning_objectives,
"resource_id": self.resource_id,
"category": self.category,
"tags": self.tags,
"allows_skipping": self.allows_skipping,
"tracks_progress": self.tracks_progress,
"provides_feedback": self.provides_feedback,
"is_active": self.is_active,
"completion_count": self.completion_count,
"average_completion_time": self.average_completion_time,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
class TutorialProgress(Base):
"""User progress through interactive tutorials"""
__tablename__ = "tutorial_progress"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Foreign Keys
user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
tutorial_id = Column(Integer, ForeignKey("interactive_tutorials.id", ondelete="CASCADE"), nullable=False, index=True)
tenant_id = Column(Integer, ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, index=True)
# Progress Data
current_step = Column(Integer, nullable=False, default=0)
completed_steps = Column(JSON, nullable=False, default=list) # List of completed step indices
is_completed = Column(Boolean, nullable=False, default=False)
completion_percentage = Column(Float, nullable=False, default=0.0)
# Performance
start_time = Column(DateTime(timezone=True), nullable=False, server_default=func.now())
completion_time = Column(DateTime(timezone=True), nullable=True)
total_time_spent = Column(Integer, nullable=False, default=0) # Seconds
# Feedback and Notes
user_feedback = Column(Text, nullable=True)
difficulty_rating = Column(Integer, nullable=True) # 1-5 scale
notes = Column(Text, nullable=True) # User's personal notes
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
# Relationships
user = relationship("User")
tutorial = relationship("InteractiveTutorial", back_populates="progress_records")
tenant = relationship("Tenant")
def __repr__(self):
return f"<TutorialProgress(user_id={self.user_id}, tutorial_id={self.tutorial_id}, step={self.current_step})>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"user_id": self.user_id,
"tutorial_id": self.tutorial_id,
"tenant_id": self.tenant_id,
"current_step": self.current_step,
"completed_steps": self.completed_steps,
"is_completed": self.is_completed,
"completion_percentage": self.completion_percentage,
"start_time": self.start_time.isoformat() if self.start_time else None,
"completion_time": self.completion_time.isoformat() if self.completion_time else None,
"total_time_spent": self.total_time_spent,
"user_feedback": self.user_feedback,
"difficulty_rating": self.difficulty_rating,
"notes": self.notes,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
def advance_step(self) -> None:
"""Advance to next step"""
if self.current_step not in self.completed_steps:
completed = self.completed_steps or []
completed.append(self.current_step)
self.completed_steps = completed
self.current_step += 1
self.completion_percentage = (len(self.completed_steps) / len(self.tutorial.steps)) * 100.0
if self.completion_percentage >= 100.0:
self.is_completed = True
self.completion_time = datetime.utcnow()
class ContextualHelp(Base):
"""Context-aware help system that provides relevant assistance based on current state"""
__tablename__ = "contextual_help"
id = Column(Integer, primary_key=True, index=True)
uuid = Column(String(36), default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
# Help Context
trigger_context = Column(String(100), nullable=False, index=True) # page_url, resource_id, error_code, etc.
help_type = Column(
String(20),
nullable=False,
default="tooltip",
index=True
) # tooltip, modal, sidebar, inline, notification
# Content
title = Column(String(200), nullable=False)
content = Column(Text, nullable=False)
content_type = Column(String(20), nullable=False, default="markdown")
# Targeting
target_user_types = Column(JSON, nullable=False, default=list) # User types this help applies to
trigger_conditions = Column(JSON, nullable=False, default=dict) # Conditions for showing help
display_priority = Column(Integer, nullable=False, default=100)
# Behavior
is_dismissible = Column(Boolean, nullable=False, default=True)
auto_show = Column(Boolean, nullable=False, default=False) # Show automatically
show_once_per_user = Column(Boolean, nullable=False, default=False) # Only show once
# Status
is_active = Column(Boolean, nullable=False, default=True, index=True)
# Analytics
view_count = Column(Integer, nullable=False, default=0)
dismiss_count = Column(Integer, nullable=False, default=0)
# Timestamps
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
def __repr__(self):
return f"<ContextualHelp(id={self.id}, context='{self.trigger_context}', type='{self.help_type}')>"
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"uuid": str(self.uuid),
"trigger_context": self.trigger_context,
"help_type": self.help_type,
"title": self.title,
"content": self.content,
"content_type": self.content_type,
"target_user_types": self.target_user_types,
"trigger_conditions": self.trigger_conditions,
"display_priority": self.display_priority,
"is_dismissible": self.is_dismissible,
"auto_show": self.auto_show,
"show_once_per_user": self.show_once_per_user,
"is_active": self.is_active,
"view_count": self.view_count,
"dismiss_count": self.dismiss_count,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
def should_show_for_user(self, user_type: str, context_data: Dict[str, Any]) -> bool:
"""Check if help should be shown for given user and context"""
# Check if help is active
if not self.is_active:
return False
# Check user type targeting
if self.target_user_types and user_type not in self.target_user_types:
return False
# Check trigger conditions
if self.trigger_conditions:
for condition_key, condition_value in self.trigger_conditions.items():
if context_data.get(condition_key) != condition_value:
return False
return True
# Search and Discovery utilities
def search_wiki_content(
query: str,
resource_ids: List[int] = None,
user_role: str = None,
skill_level: str = None,
categories: List[str] = None,
limit: int = 10
) -> List[WikiPage]:
"""Search wiki content with context filtering"""
from sqlalchemy.orm import sessionmaker
from app.core.database import engine
Session = sessionmaker(bind=engine)
db = Session()
try:
query_obj = db.query(WikiPage).filter(
WikiPage.is_published == True,
WikiPage.is_current_version == True
)
# Text search
if query:
query_obj = query_obj.filter(
WikiPage.title.ilike(f"%{query}%") |
WikiPage.content.ilike(f"%{query}%") |
WikiPage.search_keywords.ilike(f"%{query}%")
)
# Category filtering
if categories:
query_obj = query_obj.filter(WikiPage.category.in_(categories))
# Context filtering
if resource_ids:
query_obj = query_obj.filter(
WikiPage.target_resources.overlap(resource_ids) |
(WikiPage.target_resources == [])
)
if user_role:
query_obj = query_obj.filter(
WikiPage.target_roles.contains([user_role]) |
(WikiPage.target_roles == [])
)
if skill_level:
query_obj = query_obj.filter(
WikiPage.target_skill_levels.contains([skill_level]) |
(WikiPage.target_skill_levels == [])
)
# Order by priority and helpfulness
query_obj = query_obj.order_by(
WikiPage.featured.desc(),
WikiPage.priority.asc(),
WikiPage.helpful_votes.desc()
)
return query_obj.limit(limit).all()
finally:
db.close()

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apps/control-panel-backend/app/schemas/messages.py Normal file
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"""
Message schemas for RabbitMQ cross-cluster communication
"""
from datetime import datetime
from typing import Dict, Any, Optional, List
from pydantic import BaseModel, Field
from enum import Enum
class CommandType(str, Enum):
"""Types of admin commands"""
# Tenant commands
TENANT_PROVISION = "tenant_provision"
TENANT_DEPLOY = "tenant_deploy"
TENANT_SUSPEND = "tenant_suspend"
TENANT_RESUME = "tenant_resume"
TENANT_DELETE = "tenant_delete"
TENANT_UPDATE_CONFIG = "tenant_update_config"
# Resource commands
RESOURCE_ASSIGN = "resource_assign"
RESOURCE_UNASSIGN = "resource_unassign"
RESOURCE_UPDATE = "resource_update"
RESOURCE_HEALTH_CHECK = "resource_health_check"
# User commands
USER_CREATE = "user_create"
USER_UPDATE = "user_update"
USER_SUSPEND = "user_suspend"
USER_DELETE = "user_delete"
# System commands
SYSTEM_HEALTH_CHECK = "system_health_check"
SYSTEM_UPDATE_CONFIG = "system_update_config"
SYSTEM_BACKUP = "system_backup"
SYSTEM_RESTORE = "system_restore"
class AlertSeverity(str, Enum):
"""Alert severity levels"""
INFO = "info"
WARNING = "warning"
ERROR = "error"
CRITICAL = "critical"
class AlertType(str, Enum):
"""Types of system alerts"""
SECURITY = "security"
HEALTH = "health"
DEPLOYMENT = "deployment"
RESOURCE = "resource"
TENANT = "tenant"
PERFORMANCE = "performance"
class TenantProvisionCommand(BaseModel):
"""Command to provision a new tenant"""
tenant_id: int
tenant_name: str
domain: str
template: str = "basic"
namespace: str
max_users: int = 100
resource_limits: Dict[str, Any] = Field(default_factory=dict)
initial_resources: List[int] = Field(default_factory=list) # Resource IDs to assign
admin_email: str
admin_name: str
configuration: Dict[str, Any] = Field(default_factory=dict)
class TenantDeployCommand(BaseModel):
"""Command to deploy tenant infrastructure"""
tenant_id: int
namespace: str
deployment_config: Dict[str, Any] = Field(default_factory=dict)
kubernetes_config: Dict[str, Any] = Field(default_factory=dict)
storage_config: Dict[str, Any] = Field(default_factory=dict)
network_config: Dict[str, Any] = Field(default_factory=dict)
force_redeploy: bool = False
class ResourceAssignmentCommand(BaseModel):
"""Command to assign resources to tenant"""
tenant_id: int
namespace: str
resource_ids: List[int]
usage_limits: Dict[str, Any] = Field(default_factory=dict)
custom_config: Dict[str, Any] = Field(default_factory=dict)
effective_from: Optional[datetime] = None
effective_until: Optional[datetime] = None
class ResourceHealthCheckCommand(BaseModel):
"""Command to check resource health"""
resource_ids: List[int]
check_types: List[str] = Field(default=["connectivity", "performance", "availability"])
timeout_seconds: int = 30
detailed_diagnostics: bool = False
class DeploymentStatusUpdate(BaseModel):
"""Update on deployment status"""
command_id: str
tenant_id: int
namespace: str
status: str # 'started', 'in_progress', 'completed', 'failed'
progress_percentage: Optional[int] = None
current_step: Optional[str] = None
total_steps: Optional[int] = None
error_message: Optional[str] = None
details: Dict[str, Any] = Field(default_factory=dict)
timestamp: datetime = Field(default_factory=datetime.utcnow)
class SystemAlert(BaseModel):
"""System alert message"""
alert_id: str
alert_type: AlertType
severity: AlertSeverity
source: str # Which cluster/component generated the alert
message: str
details: Dict[str, Any] = Field(default_factory=dict)
affected_tenants: List[str] = Field(default_factory=list)
affected_resources: List[str] = Field(default_factory=list)
timestamp: datetime = Field(default_factory=datetime.utcnow)
auto_resolved: bool = False
resolution_steps: List[str] = Field(default_factory=list)
class CommandResponse(BaseModel):
"""Response to admin command"""
command_id: str
command_type: str
success: bool
status_code: int = 200
message: str
payload: Dict[str, Any] = Field(default_factory=dict)
errors: List[str] = Field(default_factory=list)
warnings: List[str] = Field(default_factory=list)
execution_time_ms: Optional[int] = None
timestamp: datetime = Field(default_factory=datetime.utcnow)
class UserProvisionCommand(BaseModel):
"""Command to provision a new user"""
tenant_id: int
namespace: str
email: str
full_name: str
user_type: str = "tenant_user"
capabilities: List[str] = Field(default_factory=list)
access_groups: List[str] = Field(default_factory=list)
initial_password: Optional[str] = None
send_welcome_email: bool = True
class BackupCommand(BaseModel):
"""Command to initiate backup"""
backup_id: str
tenant_id: Optional[int] = None # None for system-wide backup
namespace: Optional[str] = None
backup_type: str = "full" # 'full', 'incremental', 'differential'
include_databases: bool = True
include_files: bool = True
include_configurations: bool = True
destination: str = "s3" # 's3', 'local', 'nfs'
retention_days: int = 30
encryption_enabled: bool = True
class MetricsSnapshot(BaseModel):
"""System metrics snapshot"""
tenant_id: Optional[int] = None
namespace: Optional[str] = None
timestamp: datetime = Field(default_factory=datetime.utcnow)
# Resource metrics
cpu_usage_percent: float
memory_usage_percent: float
disk_usage_percent: float
network_in_mbps: float
network_out_mbps: float
# Application metrics
active_users: int
api_calls_per_minute: int
average_response_time_ms: float
error_rate_percent: float
# AI/ML metrics
tokens_consumed: int
embeddings_generated: int
documents_processed: int
rag_queries_executed: int
# Storage metrics
database_size_gb: float
vector_store_size_gb: float
object_storage_size_gb: float
details: Dict[str, Any] = Field(default_factory=dict)

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apps/control-panel-backend/app/services/__init__.py Normal file
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"""
GT 2.0 Control Panel Services
"""

461
apps/control-panel-backend/app/services/api_key_service.py Normal file
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"""
API Key Management Service for tenant-specific external API keys
"""
import os
import json
from typing import Dict, Any, Optional, List
from datetime import datetime
from cryptography.fernet import Fernet
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update
from sqlalchemy.orm.attributes import flag_modified
from app.models.tenant import Tenant
from app.models.audit import AuditLog
from app.core.config import settings
class APIKeyService:
"""Service for managing tenant-specific API keys"""
# Supported API key providers - NVIDIA, Groq, and Backblaze
SUPPORTED_PROVIDERS = {
'nvidia': {
'name': 'NVIDIA NIM',
'description': 'GPU-accelerated inference on DGX Cloud via build.nvidia.com',
'required_format': 'nvapi-*',
'test_endpoint': 'https://integrate.api.nvidia.com/v1/models'
},
'groq': {
'name': 'Groq Cloud LLM',
'description': 'High-performance LLM inference',
'required_format': 'gsk_*',
'test_endpoint': 'https://api.groq.com/openai/v1/models'
},
'backblaze': {
'name': 'Backblaze B2',
'description': 'S3-compatible backup storage',
'required_format': None, # Key ID and Application Key
'test_endpoint': None
}
}
def __init__(self, db: AsyncSession):
self.db = db
# Use environment variable or generate a key for encryption
encryption_key = os.getenv('API_KEY_ENCRYPTION_KEY')
if not encryption_key:
# In production, this should be stored securely
encryption_key = Fernet.generate_key().decode()
os.environ['API_KEY_ENCRYPTION_KEY'] = encryption_key
self.cipher = Fernet(encryption_key.encode() if isinstance(encryption_key, str) else encryption_key)
async def set_api_key(
self,
tenant_id: int,
provider: str,
api_key: str,
api_secret: Optional[str] = None,
enabled: bool = True,
metadata: Optional[Dict[str, Any]] = None
) -> Dict[str, Any]:
"""Set or update an API key for a tenant"""
if provider not in self.SUPPORTED_PROVIDERS:
raise ValueError(f"Unsupported provider: {provider}")
# Validate key format if required
provider_info = self.SUPPORTED_PROVIDERS[provider]
if provider_info['required_format'] and not api_key.startswith(provider_info['required_format'].replace('*', '')):
raise ValueError(f"Invalid API key format for {provider}")
# Get tenant
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
# Encrypt API key
encrypted_key = self.cipher.encrypt(api_key.encode()).decode()
encrypted_secret = None
if api_secret:
encrypted_secret = self.cipher.encrypt(api_secret.encode()).decode()
# Update tenant's API keys
api_keys = tenant.api_keys or {}
api_keys[provider] = {
'key': encrypted_key,
'secret': encrypted_secret,
'enabled': enabled,
'metadata': metadata or {},
'updated_at': datetime.utcnow().isoformat(),
'updated_by': 'admin' # Should come from auth context
}
tenant.api_keys = api_keys
flag_modified(tenant, "api_keys")
await self.db.commit()
# Log the action
audit_log = AuditLog(
tenant_id=tenant_id,
action='api_key_updated',
resource_type='api_key',
resource_id=provider,
details={'provider': provider, 'enabled': enabled}
)
self.db.add(audit_log)
await self.db.commit()
# Invalidate Resource Cluster cache so it picks up the new key
await self._invalidate_resource_cluster_cache(tenant.domain, provider)
return {
'tenant_id': tenant_id,
'provider': provider,
'enabled': enabled,
'updated_at': api_keys[provider]['updated_at']
}
async def get_api_keys(self, tenant_id: int) -> Dict[str, Any]:
"""Get all API keys for a tenant (without decryption)"""
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
api_keys = tenant.api_keys or {}
# Return key status without actual keys
return {
provider: {
'configured': True,
'enabled': info.get('enabled', False),
'updated_at': info.get('updated_at'),
'metadata': info.get('metadata', {})
}
for provider, info in api_keys.items()
}
async def get_decrypted_key(
self,
tenant_id: int,
provider: str,
require_enabled: bool = True
) -> Dict[str, Any]:
"""Get decrypted API key for a specific provider"""
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
api_keys = tenant.api_keys or {}
if provider not in api_keys:
raise ValueError(f"API key for {provider} not configured for tenant {tenant_id}")
key_info = api_keys[provider]
if require_enabled and not key_info.get('enabled', False):
raise ValueError(f"API key for {provider} is disabled for tenant {tenant_id}")
# Decrypt the key
decrypted_key = self.cipher.decrypt(key_info['key'].encode()).decode()
decrypted_secret = None
if key_info.get('secret'):
decrypted_secret = self.cipher.decrypt(key_info['secret'].encode()).decode()
return {
'provider': provider,
'api_key': decrypted_key,
'api_secret': decrypted_secret,
'metadata': key_info.get('metadata', {}),
'enabled': key_info.get('enabled', False)
}
async def disable_api_key(self, tenant_id: int, provider: str) -> bool:
"""Disable an API key without removing it"""
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
api_keys = tenant.api_keys or {}
if provider not in api_keys:
raise ValueError(f"API key for {provider} not configured")
api_keys[provider]['enabled'] = False
api_keys[provider]['updated_at'] = datetime.utcnow().isoformat()
tenant.api_keys = api_keys
flag_modified(tenant, "api_keys")
await self.db.commit()
# Log the action
audit_log = AuditLog(
tenant_id=tenant_id,
action='api_key_disabled',
resource_type='api_key',
resource_id=provider,
details={'provider': provider}
)
self.db.add(audit_log)
await self.db.commit()
# Invalidate Resource Cluster cache
await self._invalidate_resource_cluster_cache(tenant.domain, provider)
return True
async def remove_api_key(self, tenant_id: int, provider: str) -> bool:
"""Completely remove an API key"""
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
api_keys = tenant.api_keys or {}
if provider in api_keys:
del api_keys[provider]
tenant.api_keys = api_keys
flag_modified(tenant, "api_keys")
await self.db.commit()
# Log the action
audit_log = AuditLog(
tenant_id=tenant_id,
action='api_key_removed',
resource_type='api_key',
resource_id=provider,
details={'provider': provider}
)
self.db.add(audit_log)
await self.db.commit()
# Invalidate Resource Cluster cache
await self._invalidate_resource_cluster_cache(tenant.domain, provider)
return True
return False
async def test_api_key(self, tenant_id: int, provider: str) -> Dict[str, Any]:
"""Test if an API key is valid by making a test request with detailed error mapping"""
import httpx
# Get decrypted key
key_info = await self.get_decrypted_key(tenant_id, provider)
provider_info = self.SUPPORTED_PROVIDERS[provider]
if not provider_info.get('test_endpoint'):
return {
'provider': provider,
'testable': False,
'valid': False,
'message': 'No test endpoint available for this provider',
'error_type': 'not_testable'
}
# Validate key format before making request
api_key = key_info['api_key']
if provider == 'nvidia' and not api_key.startswith('nvapi-'):
return {
'provider': provider,
'valid': False,
'message': 'Invalid key format (should start with nvapi-)',
'error_type': 'invalid_format'
}
if provider == 'groq' and not api_key.startswith('gsk_'):
return {
'provider': provider,
'valid': False,
'message': 'Invalid key format (should start with gsk_)',
'error_type': 'invalid_format'
}
# Build authorization headers based on provider
headers = self._get_auth_headers(provider, api_key)
try:
async with httpx.AsyncClient() as client:
response = await client.get(
provider_info['test_endpoint'],
headers=headers,
timeout=10.0
)
# Extract rate limit headers
rate_limit_remaining = None
rate_limit_reset = None
if 'x-ratelimit-remaining' in response.headers:
try:
rate_limit_remaining = int(response.headers['x-ratelimit-remaining'])
except (ValueError, TypeError):
pass
if 'x-ratelimit-reset' in response.headers:
rate_limit_reset = response.headers['x-ratelimit-reset']
# Count available models if response is successful
models_available = None
if response.status_code == 200:
try:
data = response.json()
if 'data' in data and isinstance(data['data'], list):
models_available = len(data['data'])
except Exception:
pass
# Detailed error mapping
if response.status_code == 200:
return {
'provider': provider,
'valid': True,
'message': 'API key is valid',
'status_code': response.status_code,
'rate_limit_remaining': rate_limit_remaining,
'rate_limit_reset': rate_limit_reset,
'models_available': models_available
}
elif response.status_code == 401:
return {
'provider': provider,
'valid': False,
'message': 'Invalid or expired API key',
'status_code': response.status_code,
'error_type': 'auth_failed',
'rate_limit_remaining': rate_limit_remaining,
'rate_limit_reset': rate_limit_reset
}
elif response.status_code == 403:
return {
'provider': provider,
'valid': False,
'message': 'Insufficient permissions for this API key',
'status_code': response.status_code,
'error_type': 'insufficient_permissions',
'rate_limit_remaining': rate_limit_remaining,
'rate_limit_reset': rate_limit_reset
}
elif response.status_code == 429:
return {
'provider': provider,
'valid': True, # Key is valid, just rate limited
'message': 'Rate limit exceeded - key is valid but currently limited',
'status_code': response.status_code,
'error_type': 'rate_limited',
'rate_limit_remaining': rate_limit_remaining,
'rate_limit_reset': rate_limit_reset
}
else:
return {
'provider': provider,
'valid': False,
'message': f'Test failed with HTTP {response.status_code}',
'status_code': response.status_code,
'error_type': 'server_error' if response.status_code >= 500 else 'unknown',
'rate_limit_remaining': rate_limit_remaining,
'rate_limit_reset': rate_limit_reset
}
except httpx.ConnectError:
return {
'provider': provider,
'valid': False,
'message': f"Connection failed: Unable to reach {provider_info['test_endpoint']}",
'error_type': 'connection_error'
}
except httpx.TimeoutException:
return {
'provider': provider,
'valid': False,
'message': 'Connection timed out after 10 seconds',
'error_type': 'timeout'
}
except Exception as e:
return {
'provider': provider,
'valid': False,
'error': str(e),
'message': f"Test failed: {str(e)}",
'error_type': 'unknown'
}
def _get_auth_headers(self, provider: str, api_key: str) -> Dict[str, str]:
"""Build authorization headers based on provider"""
if provider in ('nvidia', 'groq', 'openai', 'cohere', 'huggingface'):
return {'Authorization': f"Bearer {api_key}"}
elif provider == 'anthropic':
return {'x-api-key': api_key}
else:
return {'Authorization': f"Bearer {api_key}"}
async def get_api_key_usage(self, tenant_id: int, provider: str) -> Dict[str, Any]:
"""Get usage statistics for an API key"""
# This would query usage records for the specific provider
# For now, return mock data
return {
'provider': provider,
'tenant_id': tenant_id,
'usage': {
'requests_today': 1234,
'tokens_today': 456789,
'cost_today_cents': 234,
'requests_month': 45678,
'tokens_month': 12345678,
'cost_month_cents': 8901
}
}
async def _invalidate_resource_cluster_cache(
self,
tenant_domain: str,
provider: str
) -> None:
"""
Notify Resource Cluster to invalidate its API key cache.
This is called after API keys are modified, disabled, or removed
to ensure the Resource Cluster doesn't use stale cached keys.
Non-critical: If this fails, the cache will expire naturally after TTL.
"""
try:
from app.clients.resource_cluster_client import get_resource_cluster_client
client = get_resource_cluster_client()
await client.invalidate_api_key_cache(
tenant_domain=tenant_domain,
provider=provider
)
except Exception as e:
# Log but don't fail the main operation
import logging
logger = logging.getLogger(__name__)
logger.warning(f"Failed to invalidate Resource Cluster cache (non-critical): {e}")
@classmethod
def get_supported_providers(cls) -> List[Dict[str, Any]]:
"""Get list of supported API key providers"""
return [
{
'id': provider_id,
'name': info['name'],
'description': info['description'],
'requires_secret': provider_id == 'backblaze'
}
for provider_id, info in cls.SUPPORTED_PROVIDERS.items()
]

344
apps/control-panel-backend/app/services/backup_service.py Normal file
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"""
Backup Service - Manages system backups and restoration
"""
import os
import asyncio
import hashlib
from typing import Dict, Any, Optional, List
from datetime import datetime
from pathlib import Path
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, desc, and_
from fastapi import HTTPException, status
import structlog
from app.models.system import BackupRecord, BackupType
logger = structlog.get_logger()
class BackupService:
"""Service for creating and managing system backups"""
BACKUP_SCRIPT = "/app/scripts/backup/backup-compose.sh"
RESTORE_SCRIPT = "/app/scripts/backup/restore-compose.sh"
BACKUP_DIR = os.getenv("GT2_BACKUP_DIR", "/app/backups")
def __init__(self, db: AsyncSession):
self.db = db
async def create_backup(
self,
backup_type: str = "manual",
description: str = None,
created_by: str = None
) -> Dict[str, Any]:
"""Create a new system backup"""
try:
# Validate backup type
if backup_type not in ["manual", "pre_update", "scheduled"]:
raise ValueError(f"Invalid backup type: {backup_type}")
# Ensure backup directory exists
os.makedirs(self.BACKUP_DIR, exist_ok=True)
# Generate backup filename
timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S")
backup_filename = f"gt2_backup_{timestamp}.tar.gz"
backup_path = os.path.join(self.BACKUP_DIR, backup_filename)
# Get current version
current_version = await self._get_current_version()
# Create backup record
backup_record = BackupRecord(
backup_type=BackupType[backup_type],
location=backup_path,
version=current_version,
description=description or f"{backup_type.replace('_', ' ').title()} backup",
created_by=created_by,
components=self._get_backup_components()
)
self.db.add(backup_record)
await self.db.commit()
await self.db.refresh(backup_record)
# Run backup script in background
asyncio.create_task(
self._run_backup_process(backup_record.uuid, backup_path)
)
logger.info(f"Backup job {backup_record.uuid} created")
return backup_record.to_dict()
except Exception as e:
logger.error(f"Failed to create backup: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to create backup: {str(e)}"
)
async def list_backups(
self,
limit: int = 50,
offset: int = 0,
backup_type: str = None
) -> Dict[str, Any]:
"""List available backups"""
try:
# Build query
query = select(BackupRecord)
if backup_type:
query = query.where(BackupRecord.backup_type == BackupType[backup_type])
query = query.order_by(desc(BackupRecord.created_at)).limit(limit).offset(offset)
result = await self.db.execute(query)
backups = result.scalars().all()
# Get total count
count_query = select(BackupRecord)
if backup_type:
count_query = count_query.where(BackupRecord.backup_type == BackupType[backup_type])
count_result = await self.db.execute(count_query)
total = len(count_result.scalars().all())
# Calculate total storage used by backups
backup_list = [b.to_dict() for b in backups]
storage_used = sum(b.get("size", 0) or 0 for b in backup_list)
return {
"backups": backup_list,
"total": total,
"limit": limit,
"offset": offset,
"storage_used": storage_used
}
except Exception as e:
logger.error(f"Failed to list backups: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to list backups: {str(e)}"
)
async def get_backup(self, backup_id: str) -> Dict[str, Any]:
"""Get details of a specific backup"""
stmt = select(BackupRecord).where(BackupRecord.uuid == backup_id)
result = await self.db.execute(stmt)
backup = result.scalar_one_or_none()
if not backup:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Backup {backup_id} not found"
)
# Check if file actually exists
file_exists = os.path.exists(backup.location)
backup_dict = backup.to_dict()
backup_dict["file_exists"] = file_exists
return backup_dict
async def restore_backup(
self,
backup_id: str,
components: List[str] = None
) -> Dict[str, Any]:
"""Restore from a backup"""
# Get backup record
stmt = select(BackupRecord).where(BackupRecord.uuid == backup_id)
result = await self.db.execute(stmt)
backup = result.scalar_one_or_none()
if not backup:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Backup {backup_id} not found"
)
if not backup.is_valid:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Backup is marked as invalid and cannot be restored"
)
# Check if backup file exists
if not os.path.exists(backup.location):
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Backup file not found on disk"
)
# Verify checksum if available
if backup.checksum:
calculated_checksum = await self._calculate_checksum(backup.location)
if calculated_checksum != backup.checksum:
backup.is_valid = False
await self.db.commit()
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Backup checksum mismatch - file may be corrupted"
)
# Run restore in background
asyncio.create_task(self._run_restore_process(backup.location, components))
return {
"message": "Restore initiated",
"backup_id": backup_id,
"version": backup.version,
"components": components or list(backup.components.keys())
}
async def delete_backup(self, backup_id: str) -> Dict[str, Any]:
"""Delete a backup"""
stmt = select(BackupRecord).where(BackupRecord.uuid == backup_id)
result = await self.db.execute(stmt)
backup = result.scalar_one_or_none()
if not backup:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Backup {backup_id} not found"
)
# Delete file from disk
try:
if os.path.exists(backup.location):
os.remove(backup.location)
logger.info(f"Deleted backup file: {backup.location}")
except Exception as e:
logger.warning(f"Failed to delete backup file: {str(e)}")
# Delete database record
await self.db.delete(backup)
await self.db.commit()
return {
"message": "Backup deleted",
"backup_id": backup_id
}
async def _run_backup_process(self, backup_uuid: str, backup_path: str):
"""Background task to create backup"""
try:
# Reload backup record
stmt = select(BackupRecord).where(BackupRecord.uuid == backup_uuid)
result = await self.db.execute(stmt)
backup = result.scalar_one_or_none()
if not backup:
logger.error(f"Backup {backup_uuid} not found")
return
logger.info(f"Starting backup process: {backup_uuid}")
# Run backup script
process = await asyncio.create_subprocess_exec(
self.BACKUP_SCRIPT,
backup_path,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
if process.returncode == 0:
# Success - calculate file size and checksum
if os.path.exists(backup_path):
backup.size_bytes = os.path.getsize(backup_path)
backup.checksum = await self._calculate_checksum(backup_path)
logger.info(f"Backup completed: {backup_uuid} ({backup.size_bytes} bytes)")
else:
backup.is_valid = False
logger.error(f"Backup file not created: {backup_path}")
else:
# Failure
backup.is_valid = False
error_msg = stderr.decode() if stderr else "Unknown error"
logger.error(f"Backup failed: {error_msg}")
await self.db.commit()
except Exception as e:
logger.error(f"Backup process error: {str(e)}")
# Mark backup as invalid
stmt = select(BackupRecord).where(BackupRecord.uuid == backup_uuid)
result = await self.db.execute(stmt)
backup = result.scalar_one_or_none()
if backup:
backup.is_valid = False
await self.db.commit()
async def _run_restore_process(self, backup_path: str, components: List[str] = None):
"""Background task to restore from backup"""
try:
logger.info(f"Starting restore process from: {backup_path}")
# Build restore command
cmd = [self.RESTORE_SCRIPT, backup_path]
if components:
cmd.extend(components)
# Run restore script
process = await asyncio.create_subprocess_exec(
*cmd,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
if process.returncode == 0:
logger.info("Restore completed successfully")
else:
error_msg = stderr.decode() if stderr else "Unknown error"
logger.error(f"Restore failed: {error_msg}")
except Exception as e:
logger.error(f"Restore process error: {str(e)}")
async def _get_current_version(self) -> str:
"""Get current system version"""
try:
from app.models.system import SystemVersion
stmt = select(SystemVersion.version).where(
SystemVersion.is_current == True
).order_by(desc(SystemVersion.installed_at)).limit(1)
result = await self.db.execute(stmt)
version = result.scalar_one_or_none()
return version or "unknown"
except Exception:
return "unknown"
def _get_backup_components(self) -> Dict[str, bool]:
"""Get list of components to backup"""
return {
"databases": True,
"docker_volumes": True,
"configs": True,
"logs": False # Logs typically excluded to save space
}
async def _calculate_checksum(self, filepath: str) -> str:
"""Calculate SHA256 checksum of a file"""
try:
sha256_hash = hashlib.sha256()
with open(filepath, "rb") as f:
# Read file in chunks to handle large files
for byte_block in iter(lambda: f.read(4096), b""):
sha256_hash.update(byte_block)
return sha256_hash.hexdigest()
except Exception as e:
logger.error(f"Failed to calculate checksum: {str(e)}")
return ""

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apps/control-panel-backend/app/services/default_models.py Normal file
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"""
Default Model Configurations for GT 2.0
This module contains the default configuration for all 19 Groq models
plus the BGE-M3 embedding model on GT Edge network.
"""
from typing import List, Dict, Any
def get_default_models() -> List[Dict[str, Any]]:
"""Get list of all default model configurations"""
# Groq LLM Models (11 models)
groq_llm_models = [
{
"model_id": "llama-3.3-70b-versatile",
"name": "Llama 3.3 70B Versatile",
"version": "3.3",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 128000,
"max_tokens": 32768,
},
"capabilities": {
"reasoning": True,
"function_calling": True,
"streaming": True,
"multilingual": True
},
"cost": {
"per_1k_input": 0.59,
"per_1k_output": 0.79
},
"description": "Latest Llama 3.3 70B model optimized for versatile tasks with large context window",
"is_active": True
},
{
"model_id": "llama-3.3-70b-specdec",
"name": "Llama 3.3 70B Speculative Decoding",
"version": "3.3",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 8192,
"max_tokens": 8192,
},
"capabilities": {
"reasoning": True,
"function_calling": True,
"streaming": True
},
"cost": {
"per_1k_input": 0.59,
"per_1k_output": 0.79
},
"description": "Llama 3.3 70B with speculative decoding for faster inference",
"is_active": True
},
{
"model_id": "llama-3.2-90b-text-preview",
"name": "Llama 3.2 90B Text Preview",
"version": "3.2",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 128000,
"max_tokens": 8000,
},
"capabilities": {
"reasoning": True,
"function_calling": True,
"streaming": True
},
"cost": {
"per_1k_input": 0.2,
"per_1k_output": 0.2
},
"description": "Large Llama 3.2 model with enhanced text processing capabilities",
"is_active": True
},
{
"model_id": "llama-3.1-405b-reasoning",
"name": "Llama 3.1 405B Reasoning",
"version": "3.1",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 131072,
"max_tokens": 32768,
},
"capabilities": {
"reasoning": True,
"function_calling": True,
"streaming": True,
"multilingual": True
},
"cost": {
"per_1k_input": 2.5,
"per_1k_output": 2.5
},
"description": "Largest Llama model optimized for complex reasoning tasks",
"is_active": True
},
{
"model_id": "llama-3.1-70b-versatile",
"name": "Llama 3.1 70B Versatile",
"version": "3.1",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 131072,
"max_tokens": 32768,
},
"capabilities": {
"reasoning": True,
"function_calling": True,
"streaming": True,
"multilingual": True
},
"cost": {
"per_1k_input": 0.59,
"per_1k_output": 0.79
},
"description": "Balanced Llama model for general-purpose tasks with large context",
"is_active": True
},
{
"model_id": "llama-3.1-8b-instant",
"name": "Llama 3.1 8B Instant",
"version": "3.1",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 131072,
"max_tokens": 8192,
},
"capabilities": {
"streaming": True,
"multilingual": True
},
"cost": {
"per_1k_input": 0.05,
"per_1k_output": 0.08
},
"description": "Fast and efficient Llama model for quick responses",
"is_active": True
},
{
"model_id": "llama3-groq-70b-8192-tool-use-preview",
"name": "Llama 3 Groq 70B Tool Use Preview",
"version": "3.0",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 8192,
"max_tokens": 8192,
},
"capabilities": {
"function_calling": True,
"streaming": True
},
"cost": {
"per_1k_input": 0.89,
"per_1k_output": 0.89
},
"description": "Llama 3 70B optimized for tool use and function calling",
"is_active": True
},
{
"model_id": "llama3-groq-8b-8192-tool-use-preview",
"name": "Llama 3 Groq 8B Tool Use Preview",
"version": "3.0",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 8192,
"max_tokens": 8192,
},
"capabilities": {
"function_calling": True,
"streaming": True
},
"cost": {
"per_1k_input": 0.19,
"per_1k_output": 0.19
},
"description": "Compact Llama 3 model optimized for tool use and function calling",
"is_active": True
},
{
"model_id": "mixtral-8x7b-32768",
"name": "Mixtral 8x7B",
"version": "1.0",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 32768,
"max_tokens": 32768,
},
"capabilities": {
"reasoning": True,
"streaming": True,
"multilingual": True
},
"cost": {
"per_1k_input": 0.24,
"per_1k_output": 0.24
},
"description": "Mixture of experts model with strong multilingual capabilities",
"is_active": True
},
{
"model_id": "gemma2-9b-it",
"name": "Gemma 2 9B Instruction Tuned",
"version": "2.0",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 8192,
"max_tokens": 8192,
},
"capabilities": {
"streaming": True,
"multilingual": False
},
"cost": {
"per_1k_input": 0.2,
"per_1k_output": 0.2
},
"description": "Google's Gemma 2 model optimized for instruction following",
"is_active": True
},
{
"model_id": "llama-guard-3-8b",
"name": "Llama Guard 3 8B",
"version": "3.0",
"provider": "groq",
"model_type": "llm",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"specifications": {
"context_window": 8192,
"max_tokens": 8192,
},
"capabilities": {
"streaming": False,
"safety_classification": True
},
"cost": {
"per_1k_input": 0.2,
"per_1k_output": 0.2
},
"description": "Safety classification model for content moderation",
"is_active": True
}
]
# Groq Audio Models (3 models)
groq_audio_models = [
{
"model_id": "whisper-large-v3",
"name": "Whisper Large v3",
"version": "3.0",
"provider": "groq",
"model_type": "audio",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"capabilities": {
"transcription": True,
"multilingual": True
},
"cost": {
"per_1k_input": 0.111,
"per_1k_output": 0.111
},
"description": "High-quality speech transcription with multilingual support",
"is_active": True
},
{
"model_id": "whisper-large-v3-turbo",
"name": "Whisper Large v3 Turbo",
"version": "3.0",
"provider": "groq",
"model_type": "audio",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"capabilities": {
"transcription": True,
"multilingual": True
},
"cost": {
"per_1k_input": 0.04,
"per_1k_output": 0.04
},
"description": "Fast speech transcription optimized for speed",
"is_active": True
},
{
"model_id": "distil-whisper-large-v3-en",
"name": "Distil-Whisper Large v3 English",
"version": "3.0",
"provider": "groq",
"model_type": "audio",
"endpoint": "https://api.groq.com/openai/v1",
"api_key_name": "GROQ_API_KEY",
"capabilities": {
"transcription": True,
"multilingual": False
},
"cost": {
"per_1k_input": 0.02,
"per_1k_output": 0.02
},
"description": "Compact English-only transcription model",
"is_active": True
}
]
# BGE-M3 Embedding Model (External on GT Edge)
external_models = [
{
"model_id": "bge-m3",
"name": "BAAI BGE-M3 Multilingual Embeddings",
"version": "1.0",
"provider": "external",
"model_type": "embedding",
"endpoint": "http://10.0.1.50:8080", # GT Edge local network
"specifications": {
"dimensions": 1024,
"max_tokens": 8192,
},
"capabilities": {
"multilingual": True,
"dense_retrieval": True,
"sparse_retrieval": True,
"colbert": True
},
"cost": {
"per_1k_input": 0.0,
"per_1k_output": 0.0
},
"description": "State-of-the-art multilingual embedding model running on GT Edge local network",
"config": {
"batch_size": 32,
"normalize": True,
"pooling_method": "mean"
},
"is_active": True
}
]
# Local Ollama Models (for on-premise deployments)
ollama_models = [
{
"model_id": "ollama-local-dgx-x86",
"name": "Local Ollama (DGX/X86)",
"version": "1.0",
"provider": "ollama",
"model_type": "llm",
"endpoint": "http://ollama-host:11434/v1/chat/completions",
"api_key_name": None, # No API key needed for local Ollama
"specifications": {
"context_window": 131072,
"max_tokens": 4096,
},
"capabilities": {
"streaming": True,
"function_calling": False
},
"cost": {
"per_1k_input": 0.0,
"per_1k_output": 0.0
},
"description": "Local Ollama instance for DGX and x86 Linux deployments. Uses ollama-host DNS resolution.",
"is_active": True
},
{
"model_id": "ollama-local-macos",
"name": "Local Ollama (MacOS)",
"version": "1.0",
"provider": "ollama",
"model_type": "llm",
"endpoint": "http://host.docker.internal:11434/v1/chat/completions",
"api_key_name": None, # No API key needed for local Ollama
"specifications": {
"context_window": 131072,
"max_tokens": 4096,
},
"capabilities": {
"streaming": True,
"function_calling": False
},
"cost": {
"per_1k_input": 0.0,
"per_1k_output": 0.0
},
"description": "Local Ollama instance for macOS deployments. Uses host.docker.internal for Docker-to-host networking.",
"is_active": True
}
]
# TTS Models (placeholder - will be added when available)
tts_models = [
# Future TTS models from Groq/PlayAI
]
# Combine all models
all_models = groq_llm_models + groq_audio_models + external_models + ollama_models + tts_models
return all_models
def get_groq_models() -> List[Dict[str, Any]]:
"""Get only Groq models"""
return [model for model in get_default_models() if model["provider"] == "groq"]
def get_external_models() -> List[Dict[str, Any]]:
"""Get only external models (BGE-M3, etc.)"""
return [model for model in get_default_models() if model["provider"] == "external"]
def get_ollama_models() -> List[Dict[str, Any]]:
"""Get only Ollama models (local inference)"""
return [model for model in get_default_models() if model["provider"] == "ollama"]
def get_models_by_type(model_type: str) -> List[Dict[str, Any]]:
"""Get models by type (llm, embedding, audio, tts)"""
return [model for model in get_default_models() if model["model_type"] == model_type]

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apps/control-panel-backend/app/services/dremio_service.py Normal file
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"""
Dremio SQL Federation Service for cross-cluster analytics
"""
import asyncio
import json
from typing import Dict, Any, List, Optional
from datetime import datetime, timedelta
import httpx
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, text
from app.models.tenant import Tenant
from app.models.user import User
from app.models.ai_resource import AIResource
from app.models.usage import UsageRecord
from app.core.config import settings
class DremioService:
"""Service for Dremio SQL federation and cross-cluster queries"""
def __init__(self, db: AsyncSession):
self.db = db
self.dremio_url = settings.DREMIO_URL or "http://dremio:9047"
self.dremio_username = settings.DREMIO_USERNAME or "admin"
self.dremio_password = settings.DREMIO_PASSWORD or "admin123"
self.auth_token = None
self.token_expires = None
async def _authenticate(self) -> str:
"""Authenticate with Dremio and get token"""
# Check if we have a valid token
if self.auth_token and self.token_expires and self.token_expires > datetime.utcnow():
return self.auth_token
# Get new token
async with httpx.AsyncClient() as client:
response = await client.post(
f"{self.dremio_url}/apiv2/login",
json={
"userName": self.dremio_username,
"password": self.dremio_password
}
)
if response.status_code == 200:
data = response.json()
self.auth_token = data['token']
# Token typically expires in 24 hours
self.token_expires = datetime.utcnow() + timedelta(hours=23)
return self.auth_token
else:
raise Exception(f"Dremio authentication failed: {response.status_code}")
async def execute_query(self, sql: str) -> List[Dict[str, Any]]:
"""Execute a SQL query via Dremio"""
token = await self._authenticate()
async with httpx.AsyncClient() as client:
response = await client.post(
f"{self.dremio_url}/api/v3/sql",
headers={
"Authorization": f"Bearer {token}",
"Content-Type": "application/json"
},
json={"sql": sql},
timeout=30.0
)
if response.status_code == 200:
job_id = response.json()['id']
# Wait for job completion
while True:
job_response = await client.get(
f"{self.dremio_url}/api/v3/job/{job_id}",
headers={"Authorization": f"Bearer {token}"}
)
job_data = job_response.json()
if job_data['jobState'] == 'COMPLETED':
break
elif job_data['jobState'] in ['FAILED', 'CANCELLED']:
raise Exception(f"Query failed: {job_data.get('errorMessage', 'Unknown error')}")
await asyncio.sleep(0.5)
# Get results
results_response = await client.get(
f"{self.dremio_url}/api/v3/job/{job_id}/results",
headers={"Authorization": f"Bearer {token}"}
)
if results_response.status_code == 200:
return results_response.json()['rows']
else:
raise Exception(f"Failed to get results: {results_response.status_code}")
else:
raise Exception(f"Query execution failed: {response.status_code}")
async def get_tenant_dashboard_data(self, tenant_id: int) -> Dict[str, Any]:
"""Get comprehensive dashboard data for a tenant"""
# Get tenant info
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
# Federated queries across clusters
dashboard_data = {
'tenant': tenant.to_dict(),
'metrics': {},
'analytics': {},
'alerts': []
}
# 1. User metrics from Admin Cluster
user_metrics = await self._get_user_metrics(tenant_id)
dashboard_data['metrics']['users'] = user_metrics
# 2. Resource usage from Resource Cluster (via Dremio)
resource_usage = await self._get_resource_usage_federated(tenant_id)
dashboard_data['metrics']['resources'] = resource_usage
# 3. Application metrics from Tenant Cluster (via Dremio)
app_metrics = await self._get_application_metrics_federated(tenant.domain)
dashboard_data['metrics']['applications'] = app_metrics
# 4. Performance metrics
performance_data = await self._get_performance_metrics(tenant_id)
dashboard_data['analytics']['performance'] = performance_data
# 6. Security alerts
security_alerts = await self._get_security_alerts(tenant_id)
dashboard_data['alerts'] = security_alerts
return dashboard_data
async def _get_user_metrics(self, tenant_id: int) -> Dict[str, Any]:
"""Get user metrics from Admin Cluster database"""
# Total users
user_count_result = await self.db.execute(
select(User).where(User.tenant_id == tenant_id)
)
users = user_count_result.scalars().all()
# Active users (logged in within 7 days)
seven_days_ago = datetime.utcnow() - timedelta(days=7)
active_users = [u for u in users if u.last_login and u.last_login > seven_days_ago]
return {
'total_users': len(users),
'active_users': len(active_users),
'inactive_users': len(users) - len(active_users),
'user_growth_7d': 0, # Would calculate from historical data
'by_role': {
'admin': len([u for u in users if u.user_type == 'tenant_admin']),
'developer': len([u for u in users if u.user_type == 'developer']),
'analyst': len([u for u in users if u.user_type == 'analyst']),
'student': len([u for u in users if u.user_type == 'student'])
}
}
async def _get_resource_usage_federated(self, tenant_id: int) -> Dict[str, Any]:
"""Get resource usage via Dremio federation to Resource Cluster"""
try:
# Query Resource Cluster data via Dremio
sql = f"""
SELECT
resource_type,
COUNT(*) as request_count,
SUM(tokens_used) as total_tokens,
SUM(cost_cents) as total_cost_cents,
AVG(processing_time_ms) as avg_latency_ms
FROM resource_cluster.usage_records
WHERE tenant_id = {tenant_id}
AND started_at >= CURRENT_DATE - INTERVAL '7' DAY
GROUP BY resource_type
"""
results = await self.execute_query(sql)
# Process results
usage_by_type = {}
total_requests = 0
total_tokens = 0
total_cost = 0
for row in results:
usage_by_type[row['resource_type']] = {
'requests': row['request_count'],
'tokens': row['total_tokens'],
'cost_cents': row['total_cost_cents'],
'avg_latency_ms': row['avg_latency_ms']
}
total_requests += row['request_count']
total_tokens += row['total_tokens'] or 0
total_cost += row['total_cost_cents'] or 0
return {
'total_requests_7d': total_requests,
'total_tokens_7d': total_tokens,
'total_cost_cents_7d': total_cost,
'by_resource_type': usage_by_type
}
except Exception as e:
# Fallback to local database query if Dremio fails
print(f"Dremio query failed, using local data: {e}")
return await self._get_resource_usage_local(tenant_id)
async def _get_resource_usage_local(self, tenant_id: int) -> Dict[str, Any]:
"""Fallback: Get resource usage from local database"""
seven_days_ago = datetime.utcnow() - timedelta(days=7)
result = await self.db.execute(
select(UsageRecord).where(
UsageRecord.tenant_id == tenant_id,
UsageRecord.started_at >= seven_days_ago
)
)
usage_records = result.scalars().all()
usage_by_type = {}
total_requests = len(usage_records)
total_tokens = sum(r.tokens_used or 0 for r in usage_records)
total_cost = sum(r.cost_cents or 0 for r in usage_records)
for record in usage_records:
if record.operation_type not in usage_by_type:
usage_by_type[record.operation_type] = {
'requests': 0,
'tokens': 0,
'cost_cents': 0
}
usage_by_type[record.operation_type]['requests'] += 1
usage_by_type[record.operation_type]['tokens'] += record.tokens_used or 0
usage_by_type[record.operation_type]['cost_cents'] += record.cost_cents or 0
return {
'total_requests_7d': total_requests,
'total_tokens_7d': total_tokens,
'total_cost_cents_7d': total_cost,
'by_resource_type': usage_by_type
}
async def _get_application_metrics_federated(self, tenant_domain: str) -> Dict[str, Any]:
"""Get application metrics via Dremio federation to Tenant Cluster"""
try:
# Query Tenant Cluster data via Dremio
sql = f"""
SELECT
COUNT(DISTINCT c.id) as total_conversations,
COUNT(m.id) as total_messages,
COUNT(DISTINCT a.id) as total_assistants,
COUNT(DISTINCT d.id) as total_documents,
SUM(d.chunk_count) as total_chunks,
AVG(m.processing_time_ms) as avg_response_time_ms
FROM tenant_{tenant_domain}.conversations c
LEFT JOIN tenant_{tenant_domain}.messages m ON c.id = m.conversation_id
LEFT JOIN tenant_{tenant_domain}.agents a ON c.agent_id = a.id
LEFT JOIN tenant_{tenant_domain}.documents d ON d.created_at >= CURRENT_DATE - INTERVAL '7' DAY
WHERE c.created_at >= CURRENT_DATE - INTERVAL '7' DAY
"""
results = await self.execute_query(sql)
if results:
row = results[0]
return {
'conversations': row['total_conversations'] or 0,
'messages': row['total_messages'] or 0,
'agents': row['total_assistants'] or 0,
'documents': row['total_documents'] or 0,
'document_chunks': row['total_chunks'] or 0,
'avg_response_time_ms': row['avg_response_time_ms'] or 0
}
except Exception as e:
print(f"Dremio tenant query failed: {e}")
# Return default metrics if query fails
return {
'conversations': 0,
'messages': 0,
'agents': 0,
'documents': 0,
'document_chunks': 0,
'avg_response_time_ms': 0
}
async def _get_performance_metrics(self, tenant_id: int) -> Dict[str, Any]:
"""Get performance metrics for the tenant"""
# This would aggregate performance data from various sources
return {
'api_latency_p50_ms': 45,
'api_latency_p95_ms': 120,
'api_latency_p99_ms': 250,
'uptime_percentage': 99.95,
'error_rate_percentage': 0.12,
'concurrent_users': 23,
'requests_per_second': 45.6
}
async def _get_security_alerts(self, tenant_id: int) -> List[Dict[str, Any]]:
"""Get security alerts for the tenant"""
# This would query security monitoring systems
alerts = []
# Check for common security issues
# 1. Check for expired API keys
result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = result.scalar_one_or_none()
if tenant and tenant.api_keys:
for provider, info in tenant.api_keys.items():
updated_at = datetime.fromisoformat(info.get('updated_at', '2020-01-01T00:00:00'))
if (datetime.utcnow() - updated_at).days > 90:
alerts.append({
'severity': 'warning',
'type': 'api_key_rotation',
'message': f'API key for {provider} has not been rotated in over 90 days',
'timestamp': datetime.utcnow().isoformat()
})
# 2. Check for high error rates (would come from monitoring)
# 3. Check for unusual access patterns (would come from logs)
return alerts
async def create_virtual_datasets(self, tenant_id: int) -> Dict[str, Any]:
"""Create Dremio virtual datasets for tenant analytics"""
token = await self._authenticate()
# Create virtual datasets that join data across clusters
datasets = [
{
'name': f'tenant_{tenant_id}_unified_usage',
'sql': f"""
SELECT
ac.user_email,
ac.user_type,
rc.resource_type,
rc.operation_type,
rc.tokens_used,
rc.cost_cents,
rc.started_at,
tc.conversation_id,
tc.assistant_name
FROM admin_cluster.users ac
JOIN resource_cluster.usage_records rc ON ac.email = rc.user_id
LEFT JOIN tenant_cluster.conversations tc ON rc.conversation_id = tc.id
WHERE ac.tenant_id = {tenant_id}
"""
},
{
'name': f'tenant_{tenant_id}_cost_analysis',
'sql': f"""
SELECT
DATE_TRUNC('day', started_at) as date,
resource_type,
SUM(tokens_used) as daily_tokens,
SUM(cost_cents) as daily_cost_cents,
COUNT(*) as daily_requests
FROM resource_cluster.usage_records
WHERE tenant_id = {tenant_id}
GROUP BY DATE_TRUNC('day', started_at), resource_type
"""
}
]
created_datasets = []
for dataset in datasets:
async with httpx.AsyncClient() as client:
response = await client.post(
f"{self.dremio_url}/api/v3/catalog",
headers={
"Authorization": f"Bearer {token}",
"Content-Type": "application/json"
},
json={
"entityType": "dataset",
"path": ["Analytics", dataset['name']],
"dataset": {
"type": "VIRTUAL",
"sql": dataset['sql'],
"sqlContext": ["@admin"]
}
}
)
if response.status_code in [200, 201]:
created_datasets.append(dataset['name'])
return {
'tenant_id': tenant_id,
'datasets_created': created_datasets,
'status': 'success'
}
async def get_custom_analytics(
self,
tenant_id: int,
query_type: str,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None
) -> List[Dict[str, Any]]:
"""Run custom analytics queries for a tenant"""
if not start_date:
start_date = datetime.utcnow() - timedelta(days=30)
if not end_date:
end_date = datetime.utcnow()
queries = {
'user_activity': f"""
SELECT
u.email,
u.user_type,
COUNT(DISTINCT ur.conversation_id) as conversations,
SUM(ur.tokens_used) as total_tokens,
SUM(ur.cost_cents) as total_cost_cents
FROM admin_cluster.users u
LEFT JOIN resource_cluster.usage_records ur ON u.email = ur.user_id
WHERE u.tenant_id = {tenant_id}
AND ur.started_at BETWEEN '{start_date.isoformat()}' AND '{end_date.isoformat()}'
GROUP BY u.email, u.user_type
ORDER BY total_cost_cents DESC
""",
'resource_trends': f"""
SELECT
DATE_TRUNC('day', started_at) as date,
resource_type,
COUNT(*) as requests,
SUM(tokens_used) as tokens,
SUM(cost_cents) as cost_cents
FROM resource_cluster.usage_records
WHERE tenant_id = {tenant_id}
AND started_at BETWEEN '{start_date.isoformat()}' AND '{end_date.isoformat()}'
GROUP BY DATE_TRUNC('day', started_at), resource_type
ORDER BY date DESC
""",
'cost_optimization': f"""
SELECT
resource_type,
operation_type,
AVG(tokens_used) as avg_tokens,
AVG(cost_cents) as avg_cost_cents,
COUNT(*) as request_count,
SUM(cost_cents) as total_cost_cents
FROM resource_cluster.usage_records
WHERE tenant_id = {tenant_id}
AND started_at BETWEEN '{start_date.isoformat()}' AND '{end_date.isoformat()}'
GROUP BY resource_type, operation_type
HAVING COUNT(*) > 10
ORDER BY total_cost_cents DESC
LIMIT 20
"""
}
if query_type not in queries:
raise ValueError(f"Unknown query type: {query_type}")
try:
results = await self.execute_query(queries[query_type])
return results
except Exception as e:
print(f"Analytics query failed: {e}")
return []

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apps/control-panel-backend/app/services/groq_service.py Normal file
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"""
Groq LLM integration service with high availability and failover support
"""
import asyncio
import time
from typing import Dict, Any, List, Optional, AsyncGenerator
from datetime import datetime, timedelta
import httpx
import json
import logging
from contextlib import asynccontextmanager
from app.models.ai_resource import AIResource
from app.models.usage import UsageRecord
logger = logging.getLogger(__name__)
class GroqAPIError(Exception):
"""Custom exception for Groq API errors"""
def __init__(self, message: str, status_code: Optional[int] = None, response_body: Optional[str] = None):
self.message = message
self.status_code = status_code
self.response_body = response_body
super().__init__(self.message)
class GroqClient:
"""High-availability Groq API client with automatic failover"""
def __init__(self, resource: AIResource, api_key: str):
self.resource = resource
self.api_key = api_key
self.client = httpx.AsyncClient(
timeout=httpx.Timeout(30.0),
limits=httpx.Limits(max_keepalive_connections=5, max_connections=10),
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
)
self._current_endpoint_index = 0
self._endpoint_failures = {}
self._rate_limit_reset = None
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
await self.client.aclose()
def _get_next_endpoint(self) -> Optional[str]:
"""Get next available endpoint with circuit breaker logic"""
endpoints = self.resource.get_available_endpoints()
if not endpoints:
return None
# Try current endpoint first if not in failure state
current_endpoint = endpoints[self._current_endpoint_index % len(endpoints)]
failure_info = self._endpoint_failures.get(current_endpoint)
if not failure_info or failure_info["reset_time"] < datetime.utcnow():
return current_endpoint
# Find next healthy endpoint
for i in range(len(endpoints)):
endpoint = endpoints[(self._current_endpoint_index + i + 1) % len(endpoints)]
failure_info = self._endpoint_failures.get(endpoint)
if not failure_info or failure_info["reset_time"] < datetime.utcnow():
self._current_endpoint_index = (self._current_endpoint_index + i + 1) % len(endpoints)
return endpoint
return None
def _mark_endpoint_failed(self, endpoint: str, backoff_minutes: int = 5):
"""Mark endpoint as failed with exponential backoff"""
current_failures = self._endpoint_failures.get(endpoint, {"count": 0})
current_failures["count"] += 1
# Exponential backoff: 5min, 10min, 20min, 40min, max 60min
backoff_time = min(backoff_minutes * (2 ** (current_failures["count"] - 1)), 60)
current_failures["reset_time"] = datetime.utcnow() + timedelta(minutes=backoff_time)
self._endpoint_failures[endpoint] = current_failures
logger.warning(f"Marked endpoint {endpoint} as failed for {backoff_time} minutes (failure #{current_failures['count']})")
def _reset_endpoint_failures(self, endpoint: str):
"""Reset failure count for successful endpoint"""
if endpoint in self._endpoint_failures:
del self._endpoint_failures[endpoint]
async def _make_request(self, method: str, path: str, **kwargs) -> Dict[str, Any]:
"""Make HTTP request with automatic failover"""
last_error = None
for attempt in range(len(self.resource.get_available_endpoints()) + 1):
endpoint = self._get_next_endpoint()
if not endpoint:
raise GroqAPIError("No healthy endpoints available")
url = f"{endpoint.rstrip('/')}/{path.lstrip('/')}"
try:
logger.debug(f"Making {method} request to {url}")
response = await self.client.request(method, url, **kwargs)
# Handle rate limiting
if response.status_code == 429:
retry_after = int(response.headers.get("retry-after", "60"))
self._rate_limit_reset = datetime.utcnow() + timedelta(seconds=retry_after)
raise GroqAPIError(f"Rate limited, retry after {retry_after} seconds", 429)
# Handle server errors with failover
if response.status_code >= 500:
self._mark_endpoint_failed(endpoint)
last_error = GroqAPIError(f"Server error: {response.status_code}", response.status_code, response.text)
continue
# Handle client errors (don't retry)
if response.status_code >= 400:
raise GroqAPIError(f"Client error: {response.status_code}", response.status_code, response.text)
# Success - reset failures for this endpoint
self._reset_endpoint_failures(endpoint)
return response.json()
except httpx.RequestError as e:
logger.warning(f"Request failed for endpoint {endpoint}: {e}")
self._mark_endpoint_failed(endpoint)
last_error = GroqAPIError(f"Request failed: {str(e)}")
continue
# All endpoints failed
raise last_error or GroqAPIError("All endpoints failed")
async def health_check(self) -> bool:
"""Check if the Groq API is healthy"""
try:
await self._make_request("GET", "models")
return True
except Exception as e:
logger.error(f"Health check failed: {e}")
return False
async def list_models(self) -> List[Dict[str, Any]]:
"""List available models"""
response = await self._make_request("GET", "models")
return response.get("data", [])
async def chat_completion(
self,
messages: List[Dict[str, str]],
model: Optional[str] = None,
stream: bool = False,
**kwargs
) -> Dict[str, Any]:
"""Create chat completion"""
config = self.resource.merge_config(kwargs)
payload = {
"model": model or self.resource.model_name,
"messages": messages,
"stream": stream,
**config
}
# Remove None values
payload = {k: v for k, v in payload.items() if v is not None}
start_time = time.time()
response = await self._make_request("POST", "chat/completions", json=payload)
latency_ms = int((time.time() - start_time) * 1000)
# Log performance metrics
if latency_ms > self.resource.latency_sla_ms:
logger.warning(f"Request exceeded SLA: {latency_ms}ms > {self.resource.latency_sla_ms}ms")
return {
**response,
"_metadata": {
"latency_ms": latency_ms,
"model_used": payload["model"],
"endpoint_used": self._get_next_endpoint()
}
}
async def chat_completion_stream(
self,
messages: List[Dict[str, str]],
model: Optional[str] = None,
**kwargs
) -> AsyncGenerator[Dict[str, Any], None]:
"""Create streaming chat completion"""
config = self.resource.merge_config(kwargs)
payload = {
"model": model or self.resource.model_name,
"messages": messages,
"stream": True,
**config
}
# Remove None values
payload = {k: v for k, v in payload.items() if v is not None}
endpoint = self._get_next_endpoint()
if not endpoint:
raise GroqAPIError("No healthy endpoints available")
url = f"{endpoint.rstrip('/')}/chat/completions"
async with self.client.stream("POST", url, json=payload) as response:
if response.status_code >= 400:
error_text = await response.aread()
raise GroqAPIError(f"Stream error: {response.status_code}", response.status_code, error_text.decode())
async for line in response.aiter_lines():
if line.startswith("data: "):
data = line[6:] # Remove "data: " prefix
if data.strip() == "[DONE]":
break
try:
yield json.loads(data)
except json.JSONDecodeError:
continue
class GroqService:
"""Service for managing Groq resources and API interactions"""
def __init__(self):
self._clients: Dict[int, GroqClient] = {}
@asynccontextmanager
async def get_client(self, resource: AIResource, api_key: str):
"""Get or create a Groq client for the resource"""
if resource.id not in self._clients:
self._clients[resource.id] = GroqClient(resource, api_key)
try:
yield self._clients[resource.id]
finally:
# Keep clients alive for reuse, cleanup handled separately
pass
async def health_check_resource(self, resource: AIResource, api_key: str) -> bool:
"""Perform health check on a Groq resource"""
try:
async with self.get_client(resource, api_key) as client:
is_healthy = await client.health_check()
resource.update_health_status("healthy" if is_healthy else "unhealthy")
return is_healthy
except Exception as e:
logger.error(f"Health check failed for resource {resource.id}: {e}")
resource.update_health_status("unhealthy")
return False
async def chat_completion(
self,
resource: AIResource,
api_key: str,
messages: List[Dict[str, str]],
user_email: str,
tenant_id: int,
**kwargs
) -> Dict[str, Any]:
"""Create chat completion with usage tracking"""
async with self.get_client(resource, api_key) as client:
response = await client.chat_completion(messages, **kwargs)
# Extract usage information
usage = response.get("usage", {})
total_tokens = usage.get("total_tokens", 0)
# Calculate cost
cost_cents = resource.calculate_cost(total_tokens)
# Create usage record (would be saved to database)
usage_record = {
"tenant_id": tenant_id,
"resource_id": resource.id,
"user_email": user_email,
"request_type": "chat_completion",
"tokens_used": total_tokens,
"cost_cents": cost_cents,
"model_used": response.get("_metadata", {}).get("model_used", resource.model_name),
"latency_ms": response.get("_metadata", {}).get("latency_ms", 0)
}
logger.info(f"Chat completion: {total_tokens} tokens, ${cost_cents/100:.4f} cost")
return {
**response,
"_usage_record": usage_record
}
async def cleanup_clients(self):
"""Cleanup inactive clients"""
for resource_id, client in list(self._clients.items()):
try:
await client.client.aclose()
except Exception:
pass
self._clients.clear()
# Global service instance
groq_service = GroqService()

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"""
RabbitMQ Message Bus Service for cross-cluster communication
Implements secure message passing between Admin, Tenant, and Resource clusters
with cryptographic signing and air-gap communication protocol.
"""
import asyncio
import json
import logging
import hashlib
import hmac
import uuid
from datetime import datetime, timedelta
from typing import Dict, Any, Optional, List, Callable
from dataclasses import dataclass, asdict
import aio_pika
from aio_pika import Message, ExchangeType, DeliveryMode
from aio_pika.abc import AbstractRobustConnection, AbstractRobustChannel
from app.core.config import settings
logger = logging.getLogger(__name__)
@dataclass
class AdminCommand:
"""Base class for admin commands sent via message bus"""
command_id: str
command_type: str
target_cluster: str # 'tenant' or 'resource'
target_namespace: Optional[str] # For tenant-specific commands
payload: Dict[str, Any]
timestamp: str
signature: str = ""
def to_dict(self) -> Dict[str, Any]:
"""Convert command to dictionary for JSON serialization"""
return asdict(self)
def sign(self, secret_key: str) -> None:
"""Sign the command with HMAC-SHA256"""
# Create message to sign (exclude signature field)
message = json.dumps({
'command_id': self.command_id,
'command_type': self.command_type,
'target_cluster': self.target_cluster,
'target_namespace': self.target_namespace,
'payload': self.payload,
'timestamp': self.timestamp
}, sort_keys=True)
# Generate signature
self.signature = hmac.new(
secret_key.encode(),
message.encode(),
hashlib.sha256
).hexdigest()
@classmethod
def verify_signature(cls, data: Dict[str, Any], secret_key: str) -> bool:
"""Verify command signature"""
signature = data.get('signature', '')
# Create message to verify (exclude signature field)
message = json.dumps({
'command_id': data.get('command_id'),
'command_type': data.get('command_type'),
'target_cluster': data.get('target_cluster'),
'target_namespace': data.get('target_namespace'),
'payload': data.get('payload'),
'timestamp': data.get('timestamp')
}, sort_keys=True)
# Verify signature
expected_signature = hmac.new(
secret_key.encode(),
message.encode(),
hashlib.sha256
).hexdigest()
return hmac.compare_digest(signature, expected_signature)
class MessageBusService:
"""RabbitMQ message bus service for cross-cluster communication"""
def __init__(self):
self.connection: Optional[AbstractRobustConnection] = None
self.channel: Optional[AbstractRobustChannel] = None
self.command_callbacks: Dict[str, List[Callable]] = {}
self.response_futures: Dict[str, asyncio.Future] = {}
self.secret_key = settings.MESSAGE_BUS_SECRET_KEY or "PRODUCTION_MESSAGE_BUS_SECRET_REQUIRED"
async def connect(self) -> None:
"""Establish connection to RabbitMQ"""
try:
# Get connection URL from settings
rabbitmq_url = settings.RABBITMQ_URL or "amqp://admin:dev_rabbitmq_password@localhost:5672/gt2"
# Create robust connection (auto-reconnect on failure)
self.connection = await aio_pika.connect_robust(
rabbitmq_url,
client_properties={
'connection_name': 'gt2-control-panel'
}
)
# Create channel
self.channel = await self.connection.channel()
await self.channel.set_qos(prefetch_count=10)
# Declare exchanges
await self._declare_exchanges()
# Set up queues for receiving responses
await self._setup_response_queue()
logger.info("Connected to RabbitMQ message bus")
except Exception as e:
logger.error(f"Failed to connect to RabbitMQ: {e}")
raise
async def disconnect(self) -> None:
"""Close RabbitMQ connection"""
if self.channel:
await self.channel.close()
if self.connection:
await self.connection.close()
logger.info("Disconnected from RabbitMQ message bus")
async def _declare_exchanges(self) -> None:
"""Declare message exchanges for cross-cluster communication"""
# Admin commands exchange (fanout to all clusters)
await self.channel.declare_exchange(
name='gt2.admin.commands',
type=ExchangeType.TOPIC,
durable=True
)
# Tenant cluster exchange
await self.channel.declare_exchange(
name='gt2.tenant.commands',
type=ExchangeType.DIRECT,
durable=True
)
# Resource cluster exchange
await self.channel.declare_exchange(
name='gt2.resource.commands',
type=ExchangeType.DIRECT,
durable=True
)
# Response exchange (for command responses)
await self.channel.declare_exchange(
name='gt2.responses',
type=ExchangeType.DIRECT,
durable=True
)
# System alerts exchange
await self.channel.declare_exchange(
name='gt2.alerts',
type=ExchangeType.FANOUT,
durable=True
)
async def _setup_response_queue(self) -> None:
"""Set up queue for receiving command responses"""
# Declare response queue for this control panel instance
queue_name = f"gt2.admin.responses.{uuid.uuid4().hex[:8]}"
queue = await self.channel.declare_queue(
name=queue_name,
exclusive=True, # Exclusive to this connection
auto_delete=True # Delete when connection closes
)
# Bind to response exchange
await queue.bind(
exchange='gt2.responses',
routing_key=queue_name
)
# Start consuming responses
await queue.consume(self._handle_response)
self.response_queue_name = queue_name
async def send_tenant_command(
self,
command_type: str,
tenant_namespace: str,
payload: Dict[str, Any],
wait_for_response: bool = False,
timeout: int = 30
) -> Optional[Dict[str, Any]]:
"""
Send command to tenant cluster
Args:
command_type: Type of command (e.g., 'provision', 'deploy', 'suspend')
tenant_namespace: Target tenant namespace
payload: Command payload
wait_for_response: Whether to wait for response
timeout: Response timeout in seconds
Returns:
Response data if wait_for_response is True, else None
"""
command = AdminCommand(
command_id=str(uuid.uuid4()),
command_type=command_type,
target_cluster='tenant',
target_namespace=tenant_namespace,
payload=payload,
timestamp=datetime.utcnow().isoformat()
)
# Sign the command
command.sign(self.secret_key)
# Create response future if needed
if wait_for_response:
future = asyncio.Future()
self.response_futures[command.command_id] = future
# Send command
await self._publish_command(command)
# Wait for response if requested
if wait_for_response:
try:
response = await asyncio.wait_for(future, timeout=timeout)
return response
except asyncio.TimeoutError:
logger.error(f"Command {command.command_id} timed out after {timeout}s")
del self.response_futures[command.command_id]
return None
finally:
# Clean up future
if command.command_id in self.response_futures:
del self.response_futures[command.command_id]
return None
async def send_resource_command(
self,
command_type: str,
payload: Dict[str, Any],
wait_for_response: bool = False,
timeout: int = 30
) -> Optional[Dict[str, Any]]:
"""
Send command to resource cluster
Args:
command_type: Type of command (e.g., 'health_check', 'update_config')
payload: Command payload
wait_for_response: Whether to wait for response
timeout: Response timeout in seconds
Returns:
Response data if wait_for_response is True, else None
"""
command = AdminCommand(
command_id=str(uuid.uuid4()),
command_type=command_type,
target_cluster='resource',
target_namespace=None,
payload=payload,
timestamp=datetime.utcnow().isoformat()
)
# Sign the command
command.sign(self.secret_key)
# Create response future if needed
if wait_for_response:
future = asyncio.Future()
self.response_futures[command.command_id] = future
# Send command
await self._publish_command(command)
# Wait for response if requested
if wait_for_response:
try:
response = await asyncio.wait_for(future, timeout=timeout)
return response
except asyncio.TimeoutError:
logger.error(f"Command {command.command_id} timed out after {timeout}s")
del self.response_futures[command.command_id]
return None
finally:
# Clean up future
if command.command_id in self.response_futures:
del self.response_futures[command.command_id]
return None
async def _publish_command(self, command: AdminCommand) -> None:
"""Publish command to appropriate exchange"""
# Determine exchange and routing key
if command.target_cluster == 'tenant':
exchange_name = 'gt2.tenant.commands'
routing_key = command.target_namespace or 'all'
elif command.target_cluster == 'resource':
exchange_name = 'gt2.resource.commands'
routing_key = 'all'
else:
exchange_name = 'gt2.admin.commands'
routing_key = f"{command.target_cluster}.{command.command_type}"
# Create message
message = Message(
body=json.dumps(command.to_dict()).encode(),
delivery_mode=DeliveryMode.PERSISTENT,
headers={
'command_id': command.command_id,
'command_type': command.command_type,
'timestamp': command.timestamp,
'reply_to': self.response_queue_name if hasattr(self, 'response_queue_name') else None
}
)
# Get exchange
exchange = await self.channel.get_exchange(exchange_name)
# Publish message
await exchange.publish(
message=message,
routing_key=routing_key
)
logger.info(f"Published command {command.command_id} to {exchange_name}/{routing_key}")
async def _handle_response(self, message: aio_pika.IncomingMessage) -> None:
"""Handle response messages"""
async with message.process():
try:
# Parse response
data = json.loads(message.body.decode())
# Verify signature
if not AdminCommand.verify_signature(data, self.secret_key):
logger.error(f"Invalid signature for response: {data.get('command_id')}")
return
command_id = data.get('command_id')
# Check if we're waiting for this response
if command_id in self.response_futures:
future = self.response_futures[command_id]
if not future.done():
future.set_result(data.get('payload'))
# Log response
logger.info(f"Received response for command {command_id}")
except Exception as e:
logger.error(f"Error handling response: {e}")
async def publish_alert(
self,
alert_type: str,
severity: str,
message: str,
details: Optional[Dict[str, Any]] = None
) -> None:
"""
Publish system alert to all clusters
Args:
alert_type: Type of alert (e.g., 'security', 'health', 'deployment')
severity: Alert severity ('info', 'warning', 'error', 'critical')
message: Alert message
details: Additional alert details
"""
alert_data = {
'alert_id': str(uuid.uuid4()),
'alert_type': alert_type,
'severity': severity,
'message': message,
'details': details or {},
'timestamp': datetime.utcnow().isoformat(),
'source': 'admin_cluster'
}
# Sign the alert
alert_json = json.dumps(alert_data, sort_keys=True)
signature = hmac.new(
self.secret_key.encode(),
alert_json.encode(),
hashlib.sha256
).hexdigest()
alert_data['signature'] = signature
# Create message
message = Message(
body=json.dumps(alert_data).encode(),
delivery_mode=DeliveryMode.PERSISTENT,
headers={
'alert_type': alert_type,
'severity': severity,
'timestamp': alert_data['timestamp']
}
)
# Get alerts exchange
exchange = await self.channel.get_exchange('gt2.alerts')
# Publish alert
await exchange.publish(
message=message,
routing_key='' # Fanout exchange, routing key ignored
)
logger.info(f"Published {severity} alert: {message}")
# Global message bus instance
message_bus = MessageBusService()
async def initialize_message_bus():
"""Initialize the message bus connection"""
await message_bus.connect()
async def shutdown_message_bus():
"""Shutdown the message bus connection"""
await message_bus.disconnect()

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apps/control-panel-backend/app/services/message_dmz.py Normal file
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"""
Message DMZ Service for secure air-gap communication
Implements security controls for cross-cluster messaging including:
- Message validation and sanitization
- Command signature verification
- Audit logging
- Rate limiting
- Security policy enforcement
"""
import json
import logging
import hashlib
import hmac
import re
from datetime import datetime, timedelta
from typing import Dict, Any, Optional, List, Set
from collections import defaultdict
import asyncio
from app.core.config import settings
from app.schemas.messages import CommandType, AlertSeverity
logger = logging.getLogger(__name__)
class SecurityViolation(Exception):
"""Raised when a security policy is violated"""
pass
class MessageDMZ:
"""
Security DMZ for message bus communication
Provides defense-in-depth security controls for cross-cluster messaging
"""
def __init__(self):
# Rate limiting
self.rate_limits: Dict[str, List[datetime]] = defaultdict(list)
self.rate_limit_window = timedelta(minutes=1)
self.max_messages_per_minute = 100
# Command whitelist
self.allowed_commands = set(CommandType)
# Blocked patterns (for detecting potential injection attacks)
self.blocked_patterns = [
r'<script[^>]*>.*?</script>', # XSS
r'javascript:', # JavaScript URI
r'on\w+\s*=', # Event handlers
r'DROP\s+TABLE', # SQL injection
r'DELETE\s+FROM', # SQL injection
r'INSERT\s+INTO', # SQL injection
r'UPDATE\s+SET', # SQL injection
r'--', # SQL comment
r'/\*.*\*/', # SQL block comment
r'\.\./+', # Path traversal
r'\\x[0-9a-fA-F]{2}', # Hex encoding
r'%[0-9a-fA-F]{2}', # URL encoding suspicious patterns
]
# Audit log
self.audit_log: List[Dict[str, Any]] = []
self.max_audit_entries = 10000
# Security metrics
self.metrics = {
'messages_validated': 0,
'messages_rejected': 0,
'signature_failures': 0,
'rate_limit_violations': 0,
'injection_attempts': 0,
}
async def validate_incoming_message(
self,
message: Dict[str, Any],
source: str
) -> Dict[str, Any]:
"""
Validate incoming message from another cluster
Args:
message: Raw message data
source: Source cluster identifier
Returns:
Validated and sanitized message
Raises:
SecurityViolation: If message fails validation
"""
try:
# Check rate limits
if not self._check_rate_limit(source):
self.metrics['rate_limit_violations'] += 1
raise SecurityViolation(f"Rate limit exceeded for source: {source}")
# Verify required fields
required_fields = ['command_id', 'command_type', 'timestamp', 'signature']
for field in required_fields:
if field not in message:
raise SecurityViolation(f"Missing required field: {field}")
# Verify timestamp (prevent replay attacks)
if not self._verify_timestamp(message['timestamp']):
raise SecurityViolation("Message timestamp is too old or invalid")
# Verify command type is allowed
if message['command_type'] not in self.allowed_commands:
raise SecurityViolation(f"Unknown command type: {message['command_type']}")
# Verify signature
if not self._verify_signature(message):
self.metrics['signature_failures'] += 1
raise SecurityViolation("Invalid message signature")
# Sanitize payload
if 'payload' in message:
message['payload'] = self._sanitize_payload(message['payload'])
# Log successful validation
self._audit_log('message_validated', source, message['command_id'])
self.metrics['messages_validated'] += 1
return message
except SecurityViolation:
self.metrics['messages_rejected'] += 1
self._audit_log('message_rejected', source, message.get('command_id', 'unknown'))
raise
except Exception as e:
logger.error(f"Unexpected error validating message: {e}")
self.metrics['messages_rejected'] += 1
raise SecurityViolation(f"Message validation failed: {str(e)}")
async def prepare_outgoing_message(
self,
command_type: str,
payload: Dict[str, Any],
target: str
) -> Dict[str, Any]:
"""
Prepare message for sending to another cluster
Args:
command_type: Type of command
payload: Command payload
target: Target cluster identifier
Returns:
Prepared and signed message
"""
# Sanitize payload
sanitized_payload = self._sanitize_payload(payload)
# Create message structure
message = {
'command_type': command_type,
'payload': sanitized_payload,
'target_cluster': target,
'timestamp': datetime.utcnow().isoformat(),
'source': 'admin_cluster'
}
# Sign message
signature = self._create_signature(message)
message['signature'] = signature
# Audit log
self._audit_log('message_prepared', target, command_type)
return message
def _check_rate_limit(self, source: str) -> bool:
"""Check if source has exceeded rate limits"""
now = datetime.utcnow()
# Clean old entries
cutoff = now - self.rate_limit_window
self.rate_limits[source] = [
ts for ts in self.rate_limits[source]
if ts > cutoff
]
# Check limit
if len(self.rate_limits[source]) >= self.max_messages_per_minute:
return False
# Add current timestamp
self.rate_limits[source].append(now)
return True
def _verify_timestamp(self, timestamp_str: str, max_age_seconds: int = 300) -> bool:
"""Verify message timestamp is recent (prevent replay attacks)"""
try:
timestamp = datetime.fromisoformat(timestamp_str.replace('Z', '+00:00'))
age = (datetime.utcnow() - timestamp.replace(tzinfo=None)).total_seconds()
# Message too old
if age > max_age_seconds:
return False
# Message from future (clock skew tolerance of 30 seconds)
if age < -30:
return False
return True
except (ValueError, AttributeError):
return False
def _verify_signature(self, message: Dict[str, Any]) -> bool:
"""Verify message signature"""
signature = message.get('signature', '')
# Create message to verify (exclude signature field)
message_copy = {k: v for k, v in message.items() if k != 'signature'}
message_json = json.dumps(message_copy, sort_keys=True)
# Verify signature
expected_signature = hmac.new(
settings.MESSAGE_BUS_SECRET_KEY.encode(),
message_json.encode(),
hashlib.sha256
).hexdigest()
return hmac.compare_digest(signature, expected_signature)
def _create_signature(self, message: Dict[str, Any]) -> str:
"""Create message signature"""
message_json = json.dumps(message, sort_keys=True)
return hmac.new(
settings.MESSAGE_BUS_SECRET_KEY.encode(),
message_json.encode(),
hashlib.sha256
).hexdigest()
def _sanitize_payload(self, payload: Any) -> Any:
"""
Sanitize payload to prevent injection attacks
Recursively sanitizes strings in dictionaries and lists
"""
if isinstance(payload, str):
# Check for blocked patterns
for pattern in self.blocked_patterns:
if re.search(pattern, payload, re.IGNORECASE):
self.metrics['injection_attempts'] += 1
raise SecurityViolation(f"Potential injection attempt detected")
# Basic sanitization
# Remove control characters except standard whitespace
sanitized = re.sub(r'[\x00-\x08\x0B\x0C\x0E-\x1F\x7F-\x9F]', '', payload)
# Limit string length
max_length = 10000
if len(sanitized) > max_length:
sanitized = sanitized[:max_length]
return sanitized
elif isinstance(payload, dict):
return {
self._sanitize_payload(k): self._sanitize_payload(v)
for k, v in payload.items()
}
elif isinstance(payload, list):
return [self._sanitize_payload(item) for item in payload]
else:
# Numbers, booleans, None are safe
return payload
def _audit_log(
self,
event_type: str,
target: str,
details: Any
) -> None:
"""Add entry to audit log"""
entry = {
'timestamp': datetime.utcnow().isoformat(),
'event_type': event_type,
'target': target,
'details': details
}
self.audit_log.append(entry)
# Rotate log if too large
if len(self.audit_log) > self.max_audit_entries:
self.audit_log = self.audit_log[-self.max_audit_entries:]
# Log to application logger
logger.info(f"DMZ Audit: {event_type} - Target: {target} - Details: {details}")
def get_security_metrics(self) -> Dict[str, Any]:
"""Get security metrics"""
return {
**self.metrics,
'audit_log_size': len(self.audit_log),
'rate_limited_sources': len(self.rate_limits),
'timestamp': datetime.utcnow().isoformat()
}
def get_audit_log(
self,
limit: int = 100,
event_type: Optional[str] = None
) -> List[Dict[str, Any]]:
"""Get audit log entries"""
logs = self.audit_log[-limit:]
if event_type:
logs = [log for log in logs if log['event_type'] == event_type]
return logs
async def validate_command_permissions(
self,
command_type: str,
user_id: int,
user_type: str,
tenant_id: Optional[int] = None
) -> bool:
"""
Validate user has permission to execute command
Args:
command_type: Type of command
user_id: User ID
user_type: User type (super_admin, tenant_admin, tenant_user)
tenant_id: Tenant ID (for tenant-scoped commands)
Returns:
True if user has permission, False otherwise
"""
# Super admins can execute all commands
if user_type == 'super_admin':
return True
# Tenant admins can execute tenant-scoped commands for their tenant
if user_type == 'tenant_admin' and tenant_id:
tenant_commands = [
CommandType.USER_CREATE,
CommandType.USER_UPDATE,
CommandType.USER_SUSPEND,
CommandType.RESOURCE_ASSIGN,
CommandType.RESOURCE_UNASSIGN
]
return command_type in tenant_commands
# Regular users cannot execute admin commands
return False
# Global DMZ instance
message_dmz = MessageDMZ()

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apps/control-panel-backend/app/services/model_management_service.py Normal file
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apps/control-panel-backend/app/services/resource_allocation.py Normal file
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"""
GT 2.0 Resource Allocation Management Service
Manages CPU, memory, storage, and API quotas for tenants following GT 2.0 principles:
- Granular resource control per tenant
- Real-time usage monitoring
- Automatic scaling within limits
- Cost tracking and optimization
"""
import asyncio
import logging
from dataclasses import dataclass
from datetime import datetime, timedelta
from typing import Dict, Any, List, Optional, Tuple
from enum import Enum
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update, func, and_
from app.models.tenant import Tenant
from app.models.resource_usage import ResourceUsage, ResourceQuota, ResourceAlert
from app.core.config import get_settings
logger = logging.getLogger(__name__)
settings = get_settings()
class ResourceType(Enum):
"""Types of resources that can be allocated"""
CPU = "cpu"
MEMORY = "memory"
STORAGE = "storage"
API_CALLS = "api_calls"
GPU_TIME = "gpu_time"
VECTOR_OPERATIONS = "vector_operations"
MODEL_INFERENCE = "model_inference"
class AlertLevel(Enum):
"""Resource usage alert levels"""
INFO = "info"
WARNING = "warning"
CRITICAL = "critical"
@dataclass
class ResourceLimit:
"""Resource limit configuration"""
resource_type: ResourceType
max_value: float
warning_threshold: float = 0.8 # 80% of max
critical_threshold: float = 0.95 # 95% of max
unit: str = "units"
cost_per_unit: float = 0.0
@dataclass
class ResourceUsageData:
"""Current resource usage data"""
resource_type: ResourceType
current_usage: float
max_allowed: float
percentage_used: float
cost_accrued: float
last_updated: datetime
class ResourceAllocationService:
"""
Service for managing resource allocation and monitoring usage across tenants.
Features:
- Dynamic quota allocation
- Real-time usage tracking
- Automatic scaling policies
- Cost optimization
- Alert generation
"""
def __init__(self, db: AsyncSession):
self.db = db
# Default resource templates
self.resource_templates = {
"startup": {
ResourceType.CPU: ResourceLimit(ResourceType.CPU, 2.0, unit="cores", cost_per_unit=0.10),
ResourceType.MEMORY: ResourceLimit(ResourceType.MEMORY, 4096, unit="MB", cost_per_unit=0.05),
ResourceType.STORAGE: ResourceLimit(ResourceType.STORAGE, 10240, unit="MB", cost_per_unit=0.01),
ResourceType.API_CALLS: ResourceLimit(ResourceType.API_CALLS, 10000, unit="calls/hour", cost_per_unit=0.001),
ResourceType.MODEL_INFERENCE: ResourceLimit(ResourceType.MODEL_INFERENCE, 1000, unit="tokens", cost_per_unit=0.002),
},
"standard": {
ResourceType.CPU: ResourceLimit(ResourceType.CPU, 4.0, unit="cores", cost_per_unit=0.10),
ResourceType.MEMORY: ResourceLimit(ResourceType.MEMORY, 8192, unit="MB", cost_per_unit=0.05),
ResourceType.STORAGE: ResourceLimit(ResourceType.STORAGE, 51200, unit="MB", cost_per_unit=0.01),
ResourceType.API_CALLS: ResourceLimit(ResourceType.API_CALLS, 50000, unit="calls/hour", cost_per_unit=0.001),
ResourceType.MODEL_INFERENCE: ResourceLimit(ResourceType.MODEL_INFERENCE, 10000, unit="tokens", cost_per_unit=0.002),
},
"enterprise": {
ResourceType.CPU: ResourceLimit(ResourceType.CPU, 16.0, unit="cores", cost_per_unit=0.10),
ResourceType.MEMORY: ResourceLimit(ResourceType.MEMORY, 32768, unit="MB", cost_per_unit=0.05),
ResourceType.STORAGE: ResourceLimit(ResourceType.STORAGE, 102400, unit="MB", cost_per_unit=0.01),
ResourceType.API_CALLS: ResourceLimit(ResourceType.API_CALLS, 200000, unit="calls/hour", cost_per_unit=0.001),
ResourceType.MODEL_INFERENCE: ResourceLimit(ResourceType.MODEL_INFERENCE, 100000, unit="tokens", cost_per_unit=0.002),
ResourceType.GPU_TIME: ResourceLimit(ResourceType.GPU_TIME, 1000, unit="minutes", cost_per_unit=0.50),
}
}
async def allocate_resources(self, tenant_id: int, template: str = "standard") -> bool:
"""
Allocate initial resources to a tenant based on template.
Args:
tenant_id: Tenant database ID
template: Resource template name
Returns:
True if allocation successful
"""
try:
# Get tenant
result = await self.db.execute(select(Tenant).where(Tenant.id == tenant_id))
tenant = result.scalar_one_or_none()
if not tenant:
logger.error(f"Tenant {tenant_id} not found")
return False
# Get resource template
if template not in self.resource_templates:
logger.error(f"Unknown resource template: {template}")
return False
resources = self.resource_templates[template]
# Create resource quotas
for resource_type, limit in resources.items():
quota = ResourceQuota(
tenant_id=tenant_id,
resource_type=resource_type.value,
max_value=limit.max_value,
warning_threshold=limit.warning_threshold,
critical_threshold=limit.critical_threshold,
unit=limit.unit,
cost_per_unit=limit.cost_per_unit,
current_usage=0.0,
is_active=True
)
self.db.add(quota)
await self.db.commit()
logger.info(f"Allocated {template} resources to tenant {tenant.domain}")
return True
except Exception as e:
logger.error(f"Failed to allocate resources to tenant {tenant_id}: {e}")
await self.db.rollback()
return False
async def get_tenant_resource_usage(self, tenant_id: int) -> Dict[str, ResourceUsageData]:
"""
Get current resource usage for a tenant.
Args:
tenant_id: Tenant database ID
Returns:
Dictionary of resource usage data
"""
try:
# Get all quotas for tenant
result = await self.db.execute(
select(ResourceQuota).where(
and_(ResourceQuota.tenant_id == tenant_id, ResourceQuota.is_active == True)
)
)
quotas = result.scalars().all()
usage_data = {}
for quota in quotas:
resource_type = ResourceType(quota.resource_type)
percentage_used = (quota.current_usage / quota.max_value) * 100 if quota.max_value > 0 else 0
usage_data[quota.resource_type] = ResourceUsageData(
resource_type=resource_type,
current_usage=quota.current_usage,
max_allowed=quota.max_value,
percentage_used=percentage_used,
cost_accrued=quota.current_usage * quota.cost_per_unit,
last_updated=quota.updated_at
)
return usage_data
except Exception as e:
logger.error(f"Failed to get resource usage for tenant {tenant_id}: {e}")
return {}
async def update_resource_usage(
self,
tenant_id: int,
resource_type: ResourceType,
usage_delta: float
) -> bool:
"""
Update resource usage for a tenant.
Args:
tenant_id: Tenant database ID
resource_type: Type of resource being used
usage_delta: Change in usage (positive for increase, negative for decrease)
Returns:
True if update successful
"""
try:
# Get resource quota
result = await self.db.execute(
select(ResourceQuota).where(
and_(
ResourceQuota.tenant_id == tenant_id,
ResourceQuota.resource_type == resource_type.value,
ResourceQuota.is_active == True
)
)
)
quota = result.scalar_one_or_none()
if not quota:
logger.warning(f"No quota found for {resource_type.value} for tenant {tenant_id}")
return False
# Calculate new usage
new_usage = max(0, quota.current_usage + usage_delta)
# Check if usage exceeds quota
if new_usage > quota.max_value:
logger.warning(
f"Resource usage would exceed quota for tenant {tenant_id}: "
f"{resource_type.value} {new_usage} > {quota.max_value}"
)
return False
# Update usage
quota.current_usage = new_usage
quota.updated_at = datetime.utcnow()
# Record usage history
usage_record = ResourceUsage(
tenant_id=tenant_id,
resource_type=resource_type.value,
usage_amount=usage_delta,
timestamp=datetime.utcnow(),
cost=usage_delta * quota.cost_per_unit
)
self.db.add(usage_record)
await self.db.commit()
# Check for alerts
await self._check_usage_alerts(tenant_id, quota)
return True
except Exception as e:
logger.error(f"Failed to update resource usage: {e}")
await self.db.rollback()
return False
async def _check_usage_alerts(self, tenant_id: int, quota: ResourceQuota) -> None:
"""Check if resource usage triggers alerts"""
try:
percentage_used = (quota.current_usage / quota.max_value) if quota.max_value > 0 else 0
alert_level = None
message = None
if percentage_used >= quota.critical_threshold:
alert_level = AlertLevel.CRITICAL
message = f"Critical: {quota.resource_type} usage at {percentage_used:.1f}%"
elif percentage_used >= quota.warning_threshold:
alert_level = AlertLevel.WARNING
message = f"Warning: {quota.resource_type} usage at {percentage_used:.1f}%"
if alert_level:
# Check if we already have a recent alert
recent_alert = await self.db.execute(
select(ResourceAlert).where(
and_(
ResourceAlert.tenant_id == tenant_id,
ResourceAlert.resource_type == quota.resource_type,
ResourceAlert.alert_level == alert_level.value,
ResourceAlert.created_at >= datetime.utcnow() - timedelta(hours=1)
)
)
)
if not recent_alert.scalar_one_or_none():
# Create new alert
alert = ResourceAlert(
tenant_id=tenant_id,
resource_type=quota.resource_type,
alert_level=alert_level.value,
message=message,
current_usage=quota.current_usage,
max_value=quota.max_value,
percentage_used=percentage_used
)
self.db.add(alert)
await self.db.commit()
logger.warning(f"Resource alert for tenant {tenant_id}: {message}")
except Exception as e:
logger.error(f"Failed to check usage alerts: {e}")
async def get_tenant_costs(self, tenant_id: int, start_date: datetime, end_date: datetime) -> Dict[str, Any]:
"""
Calculate costs for a tenant over a date range.
Args:
tenant_id: Tenant database ID
start_date: Start of cost calculation period
end_date: End of cost calculation period
Returns:
Cost breakdown by resource type
"""
try:
# Get usage records for the period
result = await self.db.execute(
select(ResourceUsage).where(
and_(
ResourceUsage.tenant_id == tenant_id,
ResourceUsage.timestamp >= start_date,
ResourceUsage.timestamp <= end_date
)
)
)
usage_records = result.scalars().all()
# Calculate costs by resource type
costs_by_type = {}
total_cost = 0.0
for record in usage_records:
if record.resource_type not in costs_by_type:
costs_by_type[record.resource_type] = {
"total_usage": 0.0,
"total_cost": 0.0,
"usage_events": 0
}
costs_by_type[record.resource_type]["total_usage"] += record.usage_amount
costs_by_type[record.resource_type]["total_cost"] += record.cost
costs_by_type[record.resource_type]["usage_events"] += 1
total_cost += record.cost
return {
"tenant_id": tenant_id,
"period_start": start_date.isoformat(),
"period_end": end_date.isoformat(),
"total_cost": round(total_cost, 4),
"costs_by_resource": costs_by_type,
"currency": "USD"
}
except Exception as e:
logger.error(f"Failed to calculate costs for tenant {tenant_id}: {e}")
return {}
async def scale_tenant_resources(
self,
tenant_id: int,
resource_type: ResourceType,
scale_factor: float
) -> bool:
"""
Scale tenant resources up or down.
Args:
tenant_id: Tenant database ID
resource_type: Type of resource to scale
scale_factor: Scaling factor (1.5 = 50% increase, 0.8 = 20% decrease)
Returns:
True if scaling successful
"""
try:
# Get current quota
result = await self.db.execute(
select(ResourceQuota).where(
and_(
ResourceQuota.tenant_id == tenant_id,
ResourceQuota.resource_type == resource_type.value,
ResourceQuota.is_active == True
)
)
)
quota = result.scalar_one_or_none()
if not quota:
logger.error(f"No quota found for {resource_type.value} for tenant {tenant_id}")
return False
# Calculate new limit
new_max_value = quota.max_value * scale_factor
# Ensure we don't scale below current usage
if new_max_value < quota.current_usage:
logger.warning(
f"Cannot scale {resource_type.value} below current usage: "
f"{new_max_value} < {quota.current_usage}"
)
return False
# Update quota
quota.max_value = new_max_value
quota.updated_at = datetime.utcnow()
await self.db.commit()
logger.info(
f"Scaled {resource_type.value} for tenant {tenant_id} by {scale_factor}x to {new_max_value}"
)
return True
except Exception as e:
logger.error(f"Failed to scale resources for tenant {tenant_id}: {e}")
await self.db.rollback()
return False
async def get_system_resource_overview(self) -> Dict[str, Any]:
"""
Get system-wide resource usage overview.
Returns:
System resource usage statistics
"""
try:
# Get aggregate usage by resource type
result = await self.db.execute(
select(
ResourceQuota.resource_type,
func.sum(ResourceQuota.current_usage).label('total_usage'),
func.sum(ResourceQuota.max_value).label('total_allocated'),
func.count(ResourceQuota.tenant_id).label('tenant_count')
).where(ResourceQuota.is_active == True)
.group_by(ResourceQuota.resource_type)
)
overview = {}
for row in result:
resource_type = row.resource_type
total_usage = float(row.total_usage or 0)
total_allocated = float(row.total_allocated or 0)
tenant_count = int(row.tenant_count or 0)
utilization = (total_usage / total_allocated) * 100 if total_allocated > 0 else 0
overview[resource_type] = {
"total_usage": total_usage,
"total_allocated": total_allocated,
"utilization_percentage": round(utilization, 2),
"tenant_count": tenant_count
}
return {
"timestamp": datetime.utcnow().isoformat(),
"resource_overview": overview,
"total_tenants": len(set([row.tenant_count for row in result]))
}
except Exception as e:
logger.error(f"Failed to get system resource overview: {e}")
return {}
async def get_resource_alerts(self, tenant_id: Optional[int] = None, hours: int = 24) -> List[Dict[str, Any]]:
"""
Get resource alerts for tenant(s).
Args:
tenant_id: Specific tenant ID (None for all tenants)
hours: Hours back to look for alerts
Returns:
List of alert dictionaries
"""
try:
query = select(ResourceAlert).where(
ResourceAlert.created_at >= datetime.utcnow() - timedelta(hours=hours)
)
if tenant_id:
query = query.where(ResourceAlert.tenant_id == tenant_id)
query = query.order_by(ResourceAlert.created_at.desc())
result = await self.db.execute(query)
alerts = result.scalars().all()
return [
{
"id": alert.id,
"tenant_id": alert.tenant_id,
"resource_type": alert.resource_type,
"alert_level": alert.alert_level,
"message": alert.message,
"current_usage": alert.current_usage,
"max_value": alert.max_value,
"percentage_used": alert.percentage_used,
"created_at": alert.created_at.isoformat()
}
for alert in alerts
]
except Exception as e:
logger.error(f"Failed to get resource alerts: {e}")
return []

821
apps/control-panel-backend/app/services/resource_service.py Normal file
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"""
Comprehensive Resource management service for all GT 2.0 resource families
Supports business logic and validation for:
- AI/ML Resources (LLMs, embeddings, image generation, function calling)
- RAG Engine Resources (vector databases, document processing, retrieval systems)
- Agentic Workflow Resources (multi-step AI workflows, agent frameworks)
- App Integration Resources (external tools, APIs, webhooks)
- External Web Services (Canvas LMS, CTFd, Guacamole, iframe-embedded services)
- AI Literacy & Cognitive Skills (educational games, puzzles, learning content)
"""
import asyncio
from typing import Dict, Any, List, Optional, Union
from datetime import datetime, timedelta
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, and_, or_, func
from sqlalchemy.orm import selectinload
import logging
import json
import base64
from cryptography.fernet import Fernet
from app.core.config import get_settings
from app.models.ai_resource import AIResource
from app.models.tenant import Tenant, TenantResource
from app.models.usage import UsageRecord
from app.models.user_data import UserResourceData, UserPreferences, UserProgress, SessionData
from app.models.resource_schemas import validate_resource_config, get_config_schema
from app.services.groq_service import groq_service
# Use existing encryption implementation from GT 2.0
from cryptography.fernet import Fernet
import base64
logger = logging.getLogger(__name__)
class ResourceService:
"""Comprehensive service for managing all GT 2.0 resource families with HA and business logic"""
def __init__(self, db: AsyncSession):
self.db = db
async def create_resource(self, resource_data: Dict[str, Any]) -> AIResource:
"""Create a new resource with comprehensive validation for all resource families"""
# Validate required fields (model_name is now optional for non-AI resources)
required_fields = ["name", "resource_type", "provider"]
for field in required_fields:
if field not in resource_data:
raise ValueError(f"Missing required field: {field}")
# Validate resource type
valid_resource_types = [
"ai_ml", "rag_engine", "agentic_workflow",
"app_integration", "external_service", "ai_literacy"
]
if resource_data["resource_type"] not in valid_resource_types:
raise ValueError(f"Invalid resource_type. Must be one of: {valid_resource_types}")
# Validate and apply configuration based on resource type and subtype
resource_subtype = resource_data.get("resource_subtype")
if "configuration" in resource_data:
try:
validated_config = validate_resource_config(
resource_data["resource_type"],
resource_subtype or "default",
resource_data["configuration"]
)
resource_data["configuration"] = validated_config
except Exception as e:
logger.warning(f"Configuration validation failed: {e}. Using provided config as-is.")
# Apply resource-family-specific defaults
await self._apply_resource_defaults(resource_data)
# Validate specific requirements by resource family
await self._validate_resource_requirements(resource_data)
# Create resource
resource = AIResource(**resource_data)
self.db.add(resource)
await self.db.commit()
await self.db.refresh(resource)
logger.info(f"Created {resource.resource_type} resource: {resource.name} ({resource.provider})")
return resource
async def get_resource(self, resource_id: int) -> Optional[AIResource]:
"""Get resource by ID with relationships"""
result = await self.db.execute(
select(AIResource)
.options(selectinload(AIResource.tenant_resources))
.where(AIResource.id == resource_id)
)
return result.scalar_one_or_none()
async def get_resource_by_uuid(self, resource_uuid: str) -> Optional[AIResource]:
"""Get resource by UUID"""
result = await self.db.execute(
select(AIResource)
.where(AIResource.uuid == resource_uuid)
)
return result.scalar_one_or_none()
async def list_resources(
self,
provider: Optional[str] = None,
resource_type: Optional[str] = None,
is_active: Optional[bool] = None,
health_status: Optional[str] = None
) -> List[AIResource]:
"""List resources with filtering"""
query = select(AIResource).options(selectinload(AIResource.tenant_resources))
conditions = []
if provider:
conditions.append(AIResource.provider == provider)
if resource_type:
conditions.append(AIResource.resource_type == resource_type)
if is_active is not None:
conditions.append(AIResource.is_active == is_active)
if health_status:
conditions.append(AIResource.health_status == health_status)
if conditions:
query = query.where(and_(*conditions))
result = await self.db.execute(query.order_by(AIResource.priority.desc(), AIResource.created_at))
return result.scalars().all()
async def update_resource(self, resource_id: int, updates: Dict[str, Any]) -> Optional[AIResource]:
"""Update resource with validation"""
resource = await self.get_resource(resource_id)
if not resource:
return None
# Update fields
for key, value in updates.items():
if hasattr(resource, key):
setattr(resource, key, value)
resource.updated_at = datetime.utcnow()
await self.db.commit()
await self.db.refresh(resource)
logger.info(f"Updated resource {resource_id}: {list(updates.keys())}")
return resource
async def delete_resource(self, resource_id: int) -> bool:
"""Delete resource (soft delete by deactivating)"""
resource = await self.get_resource(resource_id)
if not resource:
return False
# Check if resource is in use by tenants
result = await self.db.execute(
select(TenantResource)
.where(and_(
TenantResource.resource_id == resource_id,
TenantResource.is_enabled == True
))
)
active_assignments = result.scalars().all()
if active_assignments:
raise ValueError(f"Cannot delete resource in use by {len(active_assignments)} tenants")
# Soft delete
resource.is_active = False
resource.health_status = "deleted"
resource.updated_at = datetime.utcnow()
await self.db.commit()
logger.info(f"Deleted resource {resource_id}")
return True
async def assign_resource_to_tenant(
self,
resource_id: int,
tenant_id: int,
usage_limits: Optional[Dict[str, Any]] = None
) -> TenantResource:
"""Assign resource to tenant with usage limits"""
# Validate resource exists and is active
resource = await self.get_resource(resource_id)
if not resource or not resource.is_active:
raise ValueError("Resource not found or inactive")
# Validate tenant exists
tenant_result = await self.db.execute(
select(Tenant).where(Tenant.id == tenant_id)
)
tenant = tenant_result.scalar_one_or_none()
if not tenant:
raise ValueError("Tenant not found")
# Check if assignment already exists
existing_result = await self.db.execute(
select(TenantResource)
.where(and_(
TenantResource.tenant_id == tenant_id,
TenantResource.resource_id == resource_id
))
)
existing = existing_result.scalar_one_or_none()
if existing:
# Update existing assignment
existing.is_enabled = True
existing.usage_limits = usage_limits or {}
existing.updated_at = datetime.utcnow()
await self.db.commit()
return existing
# Create new assignment
assignment = TenantResource(
tenant_id=tenant_id,
resource_id=resource_id,
usage_limits=usage_limits or {},
is_enabled=True
)
self.db.add(assignment)
await self.db.commit()
await self.db.refresh(assignment)
logger.info(f"Assigned resource {resource_id} to tenant {tenant_id}")
return assignment
async def unassign_resource_from_tenant(self, resource_id: int, tenant_id: int) -> bool:
"""Remove resource assignment from tenant"""
result = await self.db.execute(
select(TenantResource)
.where(and_(
TenantResource.tenant_id == tenant_id,
TenantResource.resource_id == resource_id
))
)
assignment = result.scalar_one_or_none()
if not assignment:
return False
assignment.is_enabled = False
assignment.updated_at = datetime.utcnow()
await self.db.commit()
logger.info(f"Unassigned resource {resource_id} from tenant {tenant_id}")
return True
async def get_tenant_resources(self, tenant_id: int) -> List[AIResource]:
"""Get all resources assigned to a tenant"""
result = await self.db.execute(
select(AIResource)
.join(TenantResource)
.where(and_(
TenantResource.tenant_id == tenant_id,
TenantResource.is_enabled == True,
AIResource.is_active == True
))
.order_by(AIResource.priority.desc())
)
return result.scalars().all()
async def health_check_all_resources(self) -> Dict[str, Any]:
"""Perform health checks on all active resources"""
resources = await self.list_resources(is_active=True)
results = {
"total_resources": len(resources),
"healthy": 0,
"unhealthy": 0,
"unknown": 0,
"details": []
}
# Run health checks concurrently
tasks = []
for resource in resources:
if resource.provider == "groq" and resource.api_key_encrypted:
# Decrypt API key for health check
try:
# Decrypt API key using tenant encryption key
api_key = await self._decrypt_api_key(resource.api_key_encrypted, resource.tenant_id)
task = self._health_check_resource(resource, api_key)
tasks.append(task)
except Exception as e:
logger.error(f"Failed to decrypt API key for resource {resource.id}: {e}")
resource.update_health_status("unhealthy")
if tasks:
health_results = await asyncio.gather(*tasks, return_exceptions=True)
for i, result in enumerate(health_results):
resource = resources[i]
if isinstance(result, Exception):
logger.error(f"Health check failed for resource {resource.id}: {result}")
resource.update_health_status("unhealthy")
else:
# result is already updated in _health_check_resource
pass
# Count results
for resource in resources:
results["details"].append({
"id": resource.id,
"name": resource.name,
"provider": resource.provider,
"health_status": resource.health_status,
"last_check": resource.last_health_check.isoformat() if resource.last_health_check else None
})
if resource.health_status == "healthy":
results["healthy"] += 1
elif resource.health_status == "unhealthy":
results["unhealthy"] += 1
else:
results["unknown"] += 1
await self.db.commit() # Save health status updates
return results
async def _health_check_resource(self, resource: AIResource, api_key: str) -> bool:
"""Internal method to health check a single resource"""
try:
if resource.provider == "groq":
return await groq_service.health_check_resource(resource, api_key)
else:
# For other providers, implement specific health checks
logger.warning(f"No health check implementation for provider: {resource.provider}")
resource.update_health_status("unknown")
return False
except Exception as e:
logger.error(f"Health check failed for resource {resource.id}: {e}")
resource.update_health_status("unhealthy")
return False
async def get_resource_usage_stats(
self,
resource_id: int,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None
) -> Dict[str, Any]:
"""Get usage statistics for a resource"""
if not start_date:
start_date = datetime.utcnow() - timedelta(days=30)
if not end_date:
end_date = datetime.utcnow()
# Get usage records
result = await self.db.execute(
select(UsageRecord)
.where(and_(
UsageRecord.resource_id == resource_id,
UsageRecord.created_at >= start_date,
UsageRecord.created_at <= end_date
))
.order_by(UsageRecord.created_at.desc())
)
usage_records = result.scalars().all()
# Calculate statistics
total_requests = len(usage_records)
total_tokens = sum(record.tokens_used for record in usage_records)
total_cost_cents = sum(record.cost_cents for record in usage_records)
avg_tokens_per_request = total_tokens / total_requests if total_requests > 0 else 0
avg_cost_per_request = total_cost_cents / total_requests if total_requests > 0 else 0
# Group by day for trending
daily_stats = {}
for record in usage_records:
date_key = record.created_at.date().isoformat()
if date_key not in daily_stats:
daily_stats[date_key] = {
"requests": 0,
"tokens": 0,
"cost_cents": 0
}
daily_stats[date_key]["requests"] += 1
daily_stats[date_key]["tokens"] += record.tokens_used
daily_stats[date_key]["cost_cents"] += record.cost_cents
return {
"resource_id": resource_id,
"period": {
"start_date": start_date.isoformat(),
"end_date": end_date.isoformat()
},
"summary": {
"total_requests": total_requests,
"total_tokens": total_tokens,
"total_cost_dollars": total_cost_cents / 100,
"avg_tokens_per_request": round(avg_tokens_per_request, 2),
"avg_cost_per_request_cents": round(avg_cost_per_request, 2)
},
"daily_stats": daily_stats
}
async def get_tenant_usage_stats(
self,
tenant_id: int,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None
) -> Dict[str, Any]:
"""Get usage statistics for all resources used by a tenant"""
if not start_date:
start_date = datetime.utcnow() - timedelta(days=30)
if not end_date:
end_date = datetime.utcnow()
# Get usage records with resource information
result = await self.db.execute(
select(UsageRecord, AIResource)
.join(AIResource, UsageRecord.resource_id == AIResource.id)
.where(and_(
UsageRecord.tenant_id == tenant_id,
UsageRecord.created_at >= start_date,
UsageRecord.created_at <= end_date
))
.order_by(UsageRecord.created_at.desc())
)
records_with_resources = result.all()
# Calculate statistics by resource
resource_stats = {}
total_cost_cents = 0
total_requests = 0
for usage_record, ai_resource in records_with_resources:
resource_id = ai_resource.id
if resource_id not in resource_stats:
resource_stats[resource_id] = {
"resource_name": ai_resource.name,
"provider": ai_resource.provider,
"model_name": ai_resource.model_name,
"requests": 0,
"tokens": 0,
"cost_cents": 0
}
resource_stats[resource_id]["requests"] += 1
resource_stats[resource_id]["tokens"] += usage_record.tokens_used
resource_stats[resource_id]["cost_cents"] += usage_record.cost_cents
total_cost_cents += usage_record.cost_cents
total_requests += 1
return {
"tenant_id": tenant_id,
"period": {
"start_date": start_date.isoformat(),
"end_date": end_date.isoformat()
},
"summary": {
"total_requests": total_requests,
"total_cost_dollars": total_cost_cents / 100,
"resources_used": len(resource_stats)
},
"by_resource": resource_stats
}
# Resource-family-specific methods
async def _apply_resource_defaults(self, resource_data: Dict[str, Any]) -> None:
"""Apply defaults based on resource family and provider"""
resource_type = resource_data["resource_type"]
provider = resource_data["provider"]
if resource_type == "ai_ml" and provider == "groq":
# Apply Groq-specific defaults for AI/ML resources
groq_defaults = AIResource.get_groq_defaults()
for key, value in groq_defaults.items():
if key not in resource_data:
resource_data[key] = value
elif resource_type == "external_service":
# Apply defaults for external web services
if "sandbox_config" not in resource_data:
resource_data["sandbox_config"] = {
"permissions": ["allow-same-origin", "allow-scripts", "allow-forms"],
"csp_policy": "default-src 'self'",
"secure": True
}
if "personalization_mode" not in resource_data:
resource_data["personalization_mode"] = "user_scoped" # Most external services are user-specific
elif resource_type == "ai_literacy":
# Apply defaults for AI literacy resources
if "personalization_mode" not in resource_data:
resource_data["personalization_mode"] = "user_scoped" # Track individual progress
if "configuration" not in resource_data:
resource_data["configuration"] = {
"difficulty_adaptive": True,
"progress_tracking": True,
"explanation_mode": True
}
elif resource_type == "rag_engine":
# Apply defaults for RAG engines
if "personalization_mode" not in resource_data:
resource_data["personalization_mode"] = "shared" # RAG engines typically shared
if "configuration" not in resource_data:
resource_data["configuration"] = {
"chunk_size": 512,
"similarity_threshold": 0.7,
"max_results": 10
}
elif resource_type == "agentic_workflow":
# Apply defaults for agentic workflows
if "personalization_mode" not in resource_data:
resource_data["personalization_mode"] = "user_scoped" # Workflows are typically user-specific
if "configuration" not in resource_data:
resource_data["configuration"] = {
"max_iterations": 10,
"human_in_loop": True,
"retry_on_failure": True
}
elif resource_type == "app_integration":
# Apply defaults for app integrations
if "personalization_mode" not in resource_data:
resource_data["personalization_mode"] = "shared" # Most integrations are shared
if "configuration" not in resource_data:
resource_data["configuration"] = {
"timeout_seconds": 30,
"retry_attempts": 3,
"auth_method": "api_key"
}
# Set default personalization mode if not specified
if "personalization_mode" not in resource_data:
resource_data["personalization_mode"] = "shared"
async def _validate_resource_requirements(self, resource_data: Dict[str, Any]) -> None:
"""Validate resource-specific requirements"""
resource_type = resource_data["resource_type"]
resource_subtype = resource_data.get("resource_subtype")
if resource_type == "ai_ml":
# AI/ML resources must have model_name
if not resource_data.get("model_name"):
raise ValueError("AI/ML resources must specify model_name")
# Validate AI/ML subtypes
valid_ai_subtypes = ["llm", "embedding", "image_generation", "function_calling"]
if resource_subtype and resource_subtype not in valid_ai_subtypes:
raise ValueError(f"Invalid AI/ML subtype. Must be one of: {valid_ai_subtypes}")
elif resource_type == "external_service":
# External services must have iframe_url or primary_endpoint
if not resource_data.get("iframe_url") and not resource_data.get("primary_endpoint"):
raise ValueError("External service resources must specify iframe_url or primary_endpoint")
# Validate external service subtypes
valid_external_subtypes = ["lms", "cyber_range", "iframe", "custom"]
if resource_subtype and resource_subtype not in valid_external_subtypes:
raise ValueError(f"Invalid external service subtype. Must be one of: {valid_external_subtypes}")
elif resource_type == "ai_literacy":
# AI literacy resources must have appropriate subtype
valid_literacy_subtypes = ["strategic_game", "logic_puzzle", "philosophical_dilemma", "educational_content"]
if not resource_subtype or resource_subtype not in valid_literacy_subtypes:
raise ValueError(f"AI literacy resources must specify valid subtype: {valid_literacy_subtypes}")
elif resource_type == "rag_engine":
# RAG engines must have appropriate configuration
valid_rag_subtypes = ["vector_database", "document_processor", "retrieval_system"]
if resource_subtype and resource_subtype not in valid_rag_subtypes:
raise ValueError(f"Invalid RAG engine subtype. Must be one of: {valid_rag_subtypes}")
elif resource_type == "agentic_workflow":
# Agentic workflows must have appropriate configuration
valid_workflow_subtypes = ["workflow", "agent_framework", "multi_agent"]
if resource_subtype and resource_subtype not in valid_workflow_subtypes:
raise ValueError(f"Invalid agentic workflow subtype. Must be one of: {valid_workflow_subtypes}")
elif resource_type == "app_integration":
# App integrations must have endpoint or webhook configuration
if not resource_data.get("primary_endpoint") and not resource_data.get("configuration", {}).get("webhook_enabled"):
raise ValueError("App integration resources must specify primary_endpoint or enable webhooks")
valid_integration_subtypes = ["api", "webhook", "oauth_app", "custom"]
if resource_subtype and resource_subtype not in valid_integration_subtypes:
raise ValueError(f"Invalid app integration subtype. Must be one of: {valid_integration_subtypes}")
# User data separation methods
async def get_user_resource_data(
self,
user_id: int,
resource_id: int,
data_type: str,
session_id: Optional[str] = None
) -> Optional[UserResourceData]:
"""Get user-specific data for a resource"""
query = select(UserResourceData).where(and_(
UserResourceData.user_id == user_id,
UserResourceData.resource_id == resource_id,
UserResourceData.data_type == data_type
))
result = await self.db.execute(query)
return result.scalar_one_or_none()
async def set_user_resource_data(
self,
user_id: int,
tenant_id: int,
resource_id: int,
data_type: str,
data_key: str,
data_value: Dict[str, Any],
session_id: Optional[str] = None,
expires_minutes: Optional[int] = None
) -> UserResourceData:
"""Set user-specific data for a resource"""
# Check if data already exists
existing = await self.get_user_resource_data(user_id, resource_id, data_type)
if existing:
# Update existing data
existing.data_key = data_key
existing.data_value = data_value
existing.accessed_at = datetime.utcnow()
if expires_minutes:
existing.expiry_date = datetime.utcnow() + timedelta(minutes=expires_minutes)
await self.db.commit()
await self.db.refresh(existing)
return existing
else:
# Create new data
expiry_date = None
if expires_minutes:
expiry_date = datetime.utcnow() + timedelta(minutes=expires_minutes)
user_data = UserResourceData(
user_id=user_id,
tenant_id=tenant_id,
resource_id=resource_id,
data_type=data_type,
data_key=data_key,
data_value=data_value,
expiry_date=expiry_date
)
self.db.add(user_data)
await self.db.commit()
await self.db.refresh(user_data)
logger.info(f"Created user data: user={user_id}, resource={resource_id}, type={data_type}")
return user_data
async def get_user_progress(self, user_id: int, resource_id: int) -> Optional[UserProgress]:
"""Get user progress for AI literacy resources"""
result = await self.db.execute(
select(UserProgress).where(and_(
UserProgress.user_id == user_id,
UserProgress.resource_id == resource_id
))
)
return result.scalar_one_or_none()
async def update_user_progress(
self,
user_id: int,
tenant_id: int,
resource_id: int,
skill_area: str,
progress_data: Dict[str, Any]
) -> UserProgress:
"""Update user progress for learning resources"""
existing = await self.get_user_progress(user_id, resource_id)
if existing:
# Update existing progress
for key, value in progress_data.items():
if hasattr(existing, key):
setattr(existing, key, value)
existing.last_activity = datetime.utcnow()
await self.db.commit()
await self.db.refresh(existing)
return existing
else:
# Create new progress record
progress = UserProgress(
user_id=user_id,
tenant_id=tenant_id,
resource_id=resource_id,
skill_area=skill_area,
**progress_data
)
self.db.add(progress)
await self.db.commit()
await self.db.refresh(progress)
logger.info(f"Created user progress: user={user_id}, resource={resource_id}, skill={skill_area}")
return progress
# Enhanced filtering and search
async def list_resources_by_family(
self,
resource_type: str,
resource_subtype: Optional[str] = None,
tenant_id: Optional[int] = None,
user_id: Optional[int] = None,
include_inactive: bool = False
) -> List[AIResource]:
"""List resources by resource family with optional filtering"""
query = select(AIResource).options(selectinload(AIResource.tenant_resources))
conditions = [AIResource.resource_type == resource_type]
if resource_subtype:
conditions.append(AIResource.resource_subtype == resource_subtype)
if not include_inactive:
conditions.append(AIResource.is_active == True)
if tenant_id:
# Filter to resources available to this tenant
query = query.join(TenantResource).where(and_(
TenantResource.tenant_id == tenant_id,
TenantResource.is_enabled == True
))
if conditions:
query = query.where(and_(*conditions))
result = await self.db.execute(
query.order_by(AIResource.priority.desc(), AIResource.created_at)
)
return result.scalars().all()
async def get_resource_families_summary(self, tenant_id: Optional[int] = None) -> Dict[str, Any]:
"""Get summary of all resource families"""
base_query = select(
AIResource.resource_type,
AIResource.resource_subtype,
func.count(AIResource.id).label('count'),
func.count(func.nullif(AIResource.health_status == 'healthy', False)).label('healthy_count')
).group_by(AIResource.resource_type, AIResource.resource_subtype)
if tenant_id:
base_query = base_query.join(TenantResource).where(and_(
TenantResource.tenant_id == tenant_id,
TenantResource.is_enabled == True,
AIResource.is_active == True
))
else:
base_query = base_query.where(AIResource.is_active == True)
result = await self.db.execute(base_query)
rows = result.all()
# Organize by resource family
families = {}
for row in rows:
family = row.resource_type
if family not in families:
families[family] = {
"total_resources": 0,
"healthy_resources": 0,
"subtypes": {}
}
subtype = row.resource_subtype or "default"
families[family]["total_resources"] += row.count
families[family]["healthy_resources"] += row.healthy_count or 0
families[family]["subtypes"][subtype] = {
"count": row.count,
"healthy_count": row.healthy_count or 0
}
return families
async def _decrypt_api_key(self, encrypted_api_key: str, tenant_id: str) -> str:
"""Decrypt API key using tenant-specific encryption key"""
try:
settings = get_settings()
# Generate tenant-specific encryption key from settings secret
tenant_key = base64.urlsafe_b64encode(
f"{settings.secret_key}:{tenant_id}".encode()[:32].ljust(32, b'\0')
)
cipher = Fernet(tenant_key)
# Decrypt the API key
decrypted_bytes = cipher.decrypt(encrypted_api_key.encode())
return decrypted_bytes.decode()
except Exception as e:
logger.error(f"Failed to decrypt API key for tenant {tenant_id}: {e}")
raise ValueError(f"API key decryption failed: {e}")
async def _encrypt_api_key(self, api_key: str, tenant_id: str) -> str:
"""Encrypt API key using tenant-specific encryption key"""
try:
settings = get_settings()
# Generate tenant-specific encryption key from settings secret
tenant_key = base64.urlsafe_b64encode(
f"{settings.secret_key}:{tenant_id}".encode()[:32].ljust(32, b'\0')
)
cipher = Fernet(tenant_key)
# Encrypt the API key
encrypted_bytes = cipher.encrypt(api_key.encode())
return encrypted_bytes.decode()
except Exception as e:
logger.error(f"Failed to encrypt API key for tenant {tenant_id}: {e}")
raise ValueError(f"API key encryption failed: {e}")

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"""
GT 2.0 Session Management Service
NIST SP 800-63B AAL2 Compliant Server-Side Session Management (Issue #264)
- Server-side session tracking is authoritative
- Idle timeout: 30 minutes (NIST AAL2 requirement)
- Absolute timeout: 12 hours (NIST AAL2 maximum)
- Warning threshold: 5 minutes before expiry
- Session tokens are SHA-256 hashed before storage
"""
from typing import Optional, Tuple, Dict, Any
from datetime import datetime, timedelta, timezone
from sqlalchemy.orm import Session as DBSession
from sqlalchemy import and_
import secrets
import hashlib
import logging
from app.models.session import Session
logger = logging.getLogger(__name__)
class SessionService:
"""
Service for OWASP/NIST compliant session management.
Key features:
- Server-side session state is the single source of truth
- Session tokens hashed with SHA-256 (never stored in plaintext)
- Idle timeout tracked via last_activity_at
- Absolute timeout prevents indefinite session extension
- Warning signals sent when approaching expiry
"""
# Session timeout configuration (NIST SP 800-63B AAL2 Compliant)
IDLE_TIMEOUT_MINUTES = 30 # 30 minutes - NIST AAL2 requirement for inactivity timeout
ABSOLUTE_TIMEOUT_HOURS = 12 # 12 hours - NIST AAL2 maximum session duration
# Warning threshold: Show notice 30 minutes before absolute timeout
ABSOLUTE_WARNING_THRESHOLD_MINUTES = 30
def __init__(self, db: DBSession):
self.db = db
@staticmethod
def generate_session_token() -> str:
"""
Generate a cryptographically secure session token.
Uses secrets.token_urlsafe for CSPRNG (Cryptographically Secure
Pseudo-Random Number Generator). 32 bytes = 256 bits of entropy.
"""
return secrets.token_urlsafe(32)
@staticmethod
def hash_token(token: str) -> str:
"""
Hash session token with SHA-256 for secure storage.
OWASP: Never store session tokens in plaintext.
"""
return hashlib.sha256(token.encode('utf-8')).hexdigest()
def create_session(
self,
user_id: int,
tenant_id: Optional[int] = None,
ip_address: Optional[str] = None,
user_agent: Optional[str] = None,
app_type: str = 'control_panel'
) -> Tuple[str, datetime]:
"""
Create a new server-side session.
Args:
user_id: The authenticated user's ID
tenant_id: Optional tenant context
ip_address: Client IP for security auditing
user_agent: Client user agent for security auditing
app_type: 'control_panel' or 'tenant_app' to distinguish session source
Returns:
Tuple of (session_token, absolute_expires_at)
The token should be included in JWT claims.
"""
# Generate session token (this gets sent to client in JWT)
session_token = self.generate_session_token()
token_hash = self.hash_token(session_token)
# Calculate absolute expiration
now = datetime.now(timezone.utc)
absolute_expires_at = now + timedelta(hours=self.ABSOLUTE_TIMEOUT_HOURS)
# Create session record
session = Session(
user_id=user_id,
session_token_hash=token_hash,
absolute_expires_at=absolute_expires_at,
ip_address=ip_address,
user_agent=user_agent[:500] if user_agent and len(user_agent) > 500 else user_agent,
tenant_id=tenant_id,
is_active=True,
app_type=app_type
)
self.db.add(session)
self.db.commit()
self.db.refresh(session)
logger.info(f"Created session for user_id={user_id}, tenant_id={tenant_id}, app_type={app_type}, expires={absolute_expires_at}")
return session_token, absolute_expires_at
def validate_session(self, session_token: str) -> Tuple[bool, Optional[str], Optional[int], Optional[Dict[str, Any]]]:
"""
Validate a session and return status information.
This is the core validation method called on every authenticated request.
Args:
session_token: The plaintext session token from JWT
Returns:
Tuple of (is_valid, expiry_reason, seconds_until_idle_expiry, session_info)
- is_valid: Whether the session is currently valid
- expiry_reason: 'idle' or 'absolute' if expired, None if valid
- seconds_until_idle_expiry: Seconds until idle timeout (for warning)
- session_info: Dict with user_id, tenant_id if valid
"""
token_hash = self.hash_token(session_token)
# Find active session
session = self.db.query(Session).filter(
and_(
Session.session_token_hash == token_hash,
Session.is_active == True
)
).first()
if not session:
logger.debug(f"Session not found or inactive for token hash prefix: {token_hash[:8]}...")
return False, 'not_found', None, None
now = datetime.now(timezone.utc)
# Ensure session timestamps are timezone-aware for comparison
absolute_expires = session.absolute_expires_at
if absolute_expires.tzinfo is None:
absolute_expires = absolute_expires.replace(tzinfo=timezone.utc)
last_activity = session.last_activity_at
if last_activity.tzinfo is None:
last_activity = last_activity.replace(tzinfo=timezone.utc)
# Check absolute timeout first (cannot be extended)
if now >= absolute_expires:
self._revoke_session_internal(session, 'absolute_timeout')
logger.info(f"Session expired (absolute) for user_id={session.user_id}")
return False, 'absolute', None, {'user_id': session.user_id, 'tenant_id': session.tenant_id}
# Check idle timeout
idle_expires_at = last_activity + timedelta(minutes=self.IDLE_TIMEOUT_MINUTES)
if now >= idle_expires_at:
self._revoke_session_internal(session, 'idle_timeout')
logger.info(f"Session expired (idle) for user_id={session.user_id}")
return False, 'idle', None, {'user_id': session.user_id, 'tenant_id': session.tenant_id}
# Session is valid - calculate time until idle expiry
seconds_until_idle = int((idle_expires_at - now).total_seconds())
# Also check seconds until absolute expiry (use whichever is sooner)
seconds_until_absolute = int((absolute_expires - now).total_seconds())
seconds_remaining = min(seconds_until_idle, seconds_until_absolute)
return True, None, seconds_remaining, {
'user_id': session.user_id,
'tenant_id': session.tenant_id,
'session_id': str(session.id),
'absolute_seconds_remaining': seconds_until_absolute
}
def update_activity(self, session_token: str) -> bool:
"""
Update the last_activity_at timestamp for a session.
This should be called on every authenticated request to track idle time.
Args:
session_token: The plaintext session token from JWT
Returns:
True if session was updated, False if session not found/inactive
"""
token_hash = self.hash_token(session_token)
result = self.db.query(Session).filter(
and_(
Session.session_token_hash == token_hash,
Session.is_active == True
)
).update({
Session.last_activity_at: datetime.now(timezone.utc)
})
self.db.commit()
if result > 0:
logger.debug(f"Updated activity for session hash prefix: {token_hash[:8]}...")
return True
return False
def revoke_session(self, session_token: str, reason: str = 'logout') -> bool:
"""
Revoke a session (e.g., on logout).
Args:
session_token: The plaintext session token
reason: Revocation reason ('logout', 'admin_revoke', etc.)
Returns:
True if session was revoked, False if not found
"""
token_hash = self.hash_token(session_token)
session = self.db.query(Session).filter(
and_(
Session.session_token_hash == token_hash,
Session.is_active == True
)
).first()
if not session:
return False
self._revoke_session_internal(session, reason)
logger.info(f"Session revoked for user_id={session.user_id}, reason={reason}")
return True
def revoke_all_user_sessions(self, user_id: int, reason: str = 'password_change') -> int:
"""
Revoke all active sessions for a user.
This should be called on password change, account lockout, etc.
Args:
user_id: The user whose sessions to revoke
reason: Revocation reason
Returns:
Number of sessions revoked
"""
now = datetime.now(timezone.utc)
result = self.db.query(Session).filter(
and_(
Session.user_id == user_id,
Session.is_active == True
)
).update({
Session.is_active: False,
Session.revoked_at: now,
Session.ended_at: now, # Always set ended_at when session ends
Session.revoke_reason: reason
})
self.db.commit()
if result > 0:
logger.info(f"Revoked {result} sessions for user_id={user_id}, reason={reason}")
return result
def get_active_sessions_for_user(self, user_id: int) -> list:
"""
Get all active sessions for a user.
Useful for "active sessions" UI where users can see/revoke their sessions.
Args:
user_id: The user to query
Returns:
List of session dictionaries (without sensitive data)
"""
sessions = self.db.query(Session).filter(
and_(
Session.user_id == user_id,
Session.is_active == True
)
).all()
return [s.to_dict() for s in sessions]
def cleanup_expired_sessions(self) -> int:
"""
Clean up expired sessions (for scheduled maintenance).
This marks expired sessions as inactive rather than deleting them
to preserve audit trail.
Returns:
Number of sessions cleaned up
"""
now = datetime.now(timezone.utc)
idle_cutoff = now - timedelta(minutes=self.IDLE_TIMEOUT_MINUTES)
# Mark absolute-expired sessions
absolute_count = self.db.query(Session).filter(
and_(
Session.is_active == True,
Session.absolute_expires_at < now
)
).update({
Session.is_active: False,
Session.revoked_at: now,
Session.ended_at: now, # Always set ended_at when session ends
Session.revoke_reason: 'absolute_timeout'
})
# Mark idle-expired sessions
idle_count = self.db.query(Session).filter(
and_(
Session.is_active == True,
Session.last_activity_at < idle_cutoff
)
).update({
Session.is_active: False,
Session.revoked_at: now,
Session.ended_at: now, # Always set ended_at when session ends
Session.revoke_reason: 'idle_timeout'
})
self.db.commit()
total = absolute_count + idle_count
if total > 0:
logger.info(f"Cleaned up {total} expired sessions (absolute={absolute_count}, idle={idle_count})")
return total
def _revoke_session_internal(self, session: Session, reason: str) -> None:
"""Internal helper to revoke a session."""
now = datetime.now(timezone.utc)
session.is_active = False
session.revoked_at = now
session.ended_at = now # Always set ended_at when session ends
session.revoke_reason = reason
self.db.commit()
def should_show_warning(self, absolute_seconds_remaining: int) -> bool:
"""
Check if a warning should be shown to the user.
Warning is based on ABSOLUTE timeout (not idle), because:
- If browser is open, polling keeps idle timeout from expiring
- Absolute timeout is the only one that will actually log user out
- This gives users 30 minutes notice before forced re-authentication
Args:
absolute_seconds_remaining: Seconds until absolute session expiry
Returns:
True if warning should be shown (< 30 minutes until absolute timeout)
"""
return absolute_seconds_remaining <= (self.ABSOLUTE_WARNING_THRESHOLD_MINUTES * 60)

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"""
GT 2.0 Template Service
Handles applying tenant templates to existing tenants
"""
import logging
import os
import uuid
from typing import Dict, Any, List
from datetime import datetime
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, text
from sqlalchemy.dialects.postgresql import insert
from app.models.tenant_template import TenantTemplate
from app.models.tenant import Tenant
from app.models.tenant_model_config import TenantModelConfig
logger = logging.getLogger(__name__)
class TemplateService:
"""Service for applying tenant templates"""
def __init__(self):
tenant_password = os.environ["TENANT_POSTGRES_PASSWORD"]
self.tenant_db_url = f"postgresql://gt2_tenant_user:{tenant_password}@gentwo-tenant-postgres-primary:5432/gt2_tenants"
async def apply_template(
self,
template_id: int,
tenant_id: int,
control_panel_db: AsyncSession
) -> Dict[str, Any]:
"""
Apply a template to an existing tenant
Args:
template_id: ID of template to apply
tenant_id: ID of tenant to apply to
control_panel_db: Control panel database session
Returns:
Dict with applied resources summary
"""
try:
template = await control_panel_db.get(TenantTemplate, template_id)
if not template:
raise ValueError(f"Template {template_id} not found")
tenant = await control_panel_db.get(Tenant, tenant_id)
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
logger.info(f"Applying template '{template.name}' to tenant '{tenant.domain}'")
template_data = template.template_data
results = {
"models_added": 0,
"agents_added": 0,
"datasets_added": 0
}
results["models_added"] = await self._apply_model_configs(
template_data.get("model_configs", []),
tenant_id,
control_panel_db
)
tenant_schema = f"tenant_{tenant.domain.replace('-', '_').replace('.', '_')}"
results["agents_added"] = await self._apply_agents(
template_data.get("agents", []),
tenant_schema
)
results["datasets_added"] = await self._apply_datasets(
template_data.get("datasets", []),
tenant_schema
)
logger.info(f"Template applied successfully: {results}")
return results
except Exception as e:
logger.error(f"Failed to apply template: {e}")
raise
async def _apply_model_configs(
self,
model_configs: List[Dict],
tenant_id: int,
db: AsyncSession
) -> int:
"""Apply model configurations to control panel DB"""
count = 0
for config in model_configs:
stmt = insert(TenantModelConfig).values(
tenant_id=tenant_id,
model_id=config["model_id"],
is_enabled=config.get("is_enabled", True),
rate_limits=config.get("rate_limits", {}),
usage_constraints=config.get("usage_constraints", {}),
priority=config.get("priority", 5),
created_at=datetime.utcnow(),
updated_at=datetime.utcnow()
).on_conflict_do_update(
index_elements=['tenant_id', 'model_id'],
set_={
'is_enabled': config.get("is_enabled", True),
'rate_limits': config.get("rate_limits", {}),
'updated_at': datetime.utcnow()
}
)
await db.execute(stmt)
count += 1
await db.commit()
logger.info(f"Applied {count} model configs")
return count
async def _apply_agents(
self,
agents: List[Dict],
tenant_schema: str
) -> int:
"""Apply agents to tenant DB"""
from asyncpg import connect
count = 0
conn = await connect(self.tenant_db_url)
try:
for agent in agents:
result = await conn.fetchrow(f"""
SELECT id FROM {tenant_schema}.tenants LIMIT 1
""")
tenant_id = result['id'] if result else None
result = await conn.fetchrow(f"""
SELECT id FROM {tenant_schema}.users LIMIT 1
""")
created_by = result['id'] if result else None
if not tenant_id or not created_by:
logger.warning(f"No tenant or user found in {tenant_schema}, skipping agents")
break
agent_id = str(uuid.uuid4())
await conn.execute(f"""
INSERT INTO {tenant_schema}.agents (
id, name, description, system_prompt, tenant_id, created_by,
model, temperature, max_tokens, visibility, configuration,
is_active, access_group, agent_type, disclaimer, easy_prompts,
created_at, updated_at
) VALUES (
$1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16, NOW(), NOW()
)
ON CONFLICT (id) DO NOTHING
""",
agent_id,
agent.get("name"),
agent.get("description"),
agent.get("system_prompt"),
tenant_id,
created_by,
agent.get("model"),
agent.get("temperature"),
agent.get("max_tokens"),
agent.get("visibility", "individual"),
agent.get("configuration", {}),
True,
"individual",
agent.get("agent_type", "conversational"),
agent.get("disclaimer"),
agent.get("easy_prompts", [])
)
count += 1
logger.info(f"Applied {count} agents to {tenant_schema}")
finally:
await conn.close()
return count
async def _apply_datasets(
self,
datasets: List[Dict],
tenant_schema: str
) -> int:
"""Apply datasets to tenant DB"""
from asyncpg import connect
count = 0
conn = await connect(self.tenant_db_url)
try:
for dataset in datasets:
result = await conn.fetchrow(f"""
SELECT id FROM {tenant_schema}.tenants LIMIT 1
""")
tenant_id = result['id'] if result else None
result = await conn.fetchrow(f"""
SELECT id FROM {tenant_schema}.users LIMIT 1
""")
created_by = result['id'] if result else None
if not tenant_id or not created_by:
logger.warning(f"No tenant or user found in {tenant_schema}, skipping datasets")
break
dataset_id = str(uuid.uuid4())
collection_name = f"dataset_{dataset_id.replace('-', '_')}"
await conn.execute(f"""
INSERT INTO {tenant_schema}.datasets (
id, name, description, tenant_id, created_by, collection_name,
document_count, total_size_bytes, embedding_model, visibility,
metadata, is_active, access_group, search_method,
specialized_language, chunk_size, chunk_overlap,
created_at, updated_at
) VALUES (
$1, $2, $3, $4, $5, $6, 0, 0, $7, $8, $9, $10, $11, $12, $13, $14, $15, NOW(), NOW()
)
ON CONFLICT (id) DO NOTHING
""",
dataset_id,
dataset.get("name"),
dataset.get("description"),
tenant_id,
created_by,
collection_name,
dataset.get("embedding_model", "BAAI/bge-m3"),
dataset.get("visibility", "individual"),
dataset.get("metadata", {}),
True,
"individual",
dataset.get("search_method", "hybrid"),
dataset.get("specialized_language", False),
dataset.get("chunk_size", 512),
dataset.get("chunk_overlap", 128)
)
count += 1
logger.info(f"Applied {count} datasets to {tenant_schema}")
finally:
await conn.close()
return count
async def export_tenant_as_template(
self,
tenant_id: int,
template_name: str,
template_description: str,
control_panel_db: AsyncSession
) -> TenantTemplate:
"""Export existing tenant configuration as a new template"""
try:
tenant = await control_panel_db.get(Tenant, tenant_id)
if not tenant:
raise ValueError(f"Tenant {tenant_id} not found")
logger.info(f"Exporting tenant '{tenant.domain}' as template '{template_name}'")
result = await control_panel_db.execute(
select(TenantModelConfig).where(TenantModelConfig.tenant_id == tenant_id)
)
model_configs = result.scalars().all()
model_config_data = [
{
"model_id": mc.model_id,
"is_enabled": mc.is_enabled,
"rate_limits": mc.rate_limits,
"usage_constraints": mc.usage_constraints,
"priority": mc.priority
}
for mc in model_configs
]
tenant_schema = f"tenant_{tenant.domain.replace('-', '_').replace('.', '_')}"
from asyncpg import connect
conn = await connect(self.tenant_db_url)
try:
query = f"""
SELECT name, description, system_prompt, model, temperature, max_tokens,
visibility, configuration, agent_type, disclaimer, easy_prompts
FROM {tenant_schema}.agents
WHERE is_active = true
"""
logger.info(f"Executing agents query: {query}")
agents_data = await conn.fetch(query)
logger.info(f"Found {len(agents_data)} agents")
agents = [dict(row) for row in agents_data]
datasets_data = await conn.fetch(f"""
SELECT name, description, embedding_model, visibility, metadata,
search_method, specialized_language, chunk_size, chunk_overlap
FROM {tenant_schema}.datasets
WHERE is_active = true
LIMIT 10
""")
datasets = [dict(row) for row in datasets_data]
finally:
await conn.close()
template_data = {
"model_configs": model_config_data,
"agents": agents,
"datasets": datasets
}
new_template = TenantTemplate(
name=template_name,
description=template_description,
template_data=template_data,
is_default=False,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow()
)
control_panel_db.add(new_template)
await control_panel_db.commit()
await control_panel_db.refresh(new_template)
logger.info(f"Template '{template_name}' created successfully with ID {new_template.id}")
return new_template
except Exception as e:
logger.error(f"Failed to export tenant as template: {e}")
await control_panel_db.rollback()
raise

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"""
GT 2.0 Tenant Provisioning Service
Implements automated tenant infrastructure provisioning following GT 2.0 principles:
- File-based isolation with OS-level permissions
- Perfect tenant separation
- Zero downtime deployment
- Self-contained security
"""
import os
import asyncio
import logging
# DuckDB removed - PostgreSQL + PGVector unified storage
import json
import subprocess
from pathlib import Path
from typing import Dict, Any, Optional
from datetime import datetime
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update
from app.models.tenant import Tenant
from app.core.config import get_settings
from app.services.message_bus import message_bus
logger = logging.getLogger(__name__)
settings = get_settings()
class TenantProvisioningService:
"""
Service for automated tenant infrastructure provisioning.
Follows GT 2.0 PostgreSQL + PGVector architecture principles:
- PostgreSQL schema per tenant (MVCC concurrency)
- PGVector embeddings per tenant (replaces ChromaDB)
- Database-level tenant isolation with RLS
- Encrypted data at rest
"""
def __init__(self):
self.base_data_path = Path("/data")
self.message_bus = message_bus
async def provision_tenant(self, tenant_id: int, db: AsyncSession) -> bool:
"""
Complete tenant provisioning process.
Args:
tenant_id: Database ID of tenant to provision
db: Database session
Returns:
True if successful, False otherwise
"""
try:
# Get tenant details
result = await db.execute(select(Tenant).where(Tenant.id == tenant_id))
tenant = result.scalar_one_or_none()
if not tenant:
logger.error(f"Tenant {tenant_id} not found")
return False
logger.info(f"Starting provisioning for tenant {tenant.domain}")
# Step 1: Create tenant directory structure
await self._create_directory_structure(tenant)
# Step 2: Initialize PostgreSQL schema
await self._initialize_database(tenant)
# Step 3: Setup PGVector extensions (handled by schema creation)
# Step 4: Create configuration files
await self._create_configuration_files(tenant)
# Step 5: Setup OS user (for production)
await self._setup_os_user(tenant)
# Step 6: Send provisioning message to tenant cluster
await self._notify_tenant_cluster(tenant)
# Step 7: Update tenant status
await self._update_tenant_status(tenant_id, "active", db)
logger.info(f"Tenant {tenant.domain} provisioned successfully")
return True
except Exception as e:
logger.error(f"Failed to provision tenant {tenant_id}: {e}")
await self._update_tenant_status(tenant_id, "failed", db)
return False
async def _create_directory_structure(self, tenant: Tenant) -> None:
"""Create tenant directory structure with proper permissions"""
tenant_path = self.base_data_path / tenant.domain
# Create main directories
directories = [
tenant_path,
tenant_path / "shared",
tenant_path / "shared" / "models",
tenant_path / "shared" / "configs",
tenant_path / "users",
tenant_path / "sessions",
tenant_path / "documents",
tenant_path / "vector_storage",
tenant_path / "backups"
]
for directory in directories:
directory.mkdir(parents=True, exist_ok=True, mode=0o700)
logger.info(f"Created directory structure for {tenant.domain}")
async def _initialize_database(self, tenant: Tenant) -> None:
"""Initialize PostgreSQL schema for tenant"""
schema_name = f"tenant_{tenant.domain.replace('-', '_').replace('.', '_')}"
# PostgreSQL schema creation is handled by the main database migration scripts
# Schema name follows pattern: tenant_{domain}
logger.info(f"PostgreSQL schema initialization for {tenant.domain} handled by migration scripts")
return True
async def _setup_vector_storage(self, tenant: Tenant) -> None:
"""Setup PGVector extensions for tenant (handled by PostgreSQL migration)"""
# PGVector extensions handled by PostgreSQL migration scripts
# Vector storage is now unified within PostgreSQL schema
logger.info(f"PGVector setup for {tenant.domain} handled by PostgreSQL migration scripts")
async def _create_configuration_files(self, tenant: Tenant) -> None:
"""Create tenant-specific configuration files"""
tenant_path = self.base_data_path / tenant.domain
config_path = tenant_path / "shared" / "configs"
# Main tenant configuration
tenant_config = {
"tenant_id": tenant.uuid,
"tenant_domain": tenant.domain,
"tenant_name": tenant.name,
"template": tenant.template,
"max_users": tenant.max_users,
"resource_limits": tenant.resource_limits,
"postgresql_schema": f"tenant_{tenant.domain.replace('-', '_').replace('.', '_')}",
"vector_storage_path": str(tenant_path / "vector_storage"),
"documents_path": str(tenant_path / "documents"),
"created_at": datetime.utcnow().isoformat(),
"encryption_enabled": True,
"backup_enabled": True
}
config_file = config_path / "tenant_config.json"
with open(config_file, 'w') as f:
json.dump(tenant_config, f, indent=2)
os.chmod(config_file, 0o600)
# Environment file for tenant backend
tenant_db_password = os.environ["TENANT_POSTGRES_PASSWORD"]
env_config = f"""
# GT 2.0 Tenant Configuration - {tenant.domain}
ENVIRONMENT=production
TENANT_ID={tenant.uuid}
TENANT_DOMAIN={tenant.domain}
DATABASE_URL=postgresql://gt2_tenant_user:{tenant_db_password}@tenant-pgbouncer:5432/gt2_tenants
POSTGRES_SCHEMA=tenant_{tenant.domain.replace('-', '_').replace('.', '_')}
DOCUMENTS_PATH={tenant_path}/documents
# Security
SECRET_KEY=will_be_replaced_with_vault_key
ENCRYPT_DATA=true
SECURE_DELETE=true
# Resource Limits
MAX_USERS={tenant.max_users}
MAX_STORAGE_GB={tenant.resource_limits.get('max_storage_gb', 100)}
MAX_API_CALLS_PER_HOUR={tenant.resource_limits.get('max_api_calls_per_hour', 1000)}
# Integration
CONTROL_PANEL_URL=http://control-panel-backend:8001
RESOURCE_CLUSTER_URL=http://resource-cluster:8004
"""
# Write tenant environment configuration file
# Security Note: This file contains tenant-specific configuration values (URLs, limits),
# not sensitive credentials like API keys or passwords. File permissions are set to 0o600
# (owner read/write only) for defense in depth. Actual secrets are stored securely in the
# database and accessed via the Control Panel API.
env_file = config_path / "tenant.env"
with open(env_file, 'w') as f:
f.write(env_config)
os.chmod(env_file, 0o600)
logger.info(f"Created configuration files for {tenant.domain}")
async def _setup_os_user(self, tenant: Tenant) -> None:
"""Create OS user for tenant (production only)"""
if settings.environment == "development":
logger.info(f"Skipping OS user creation in development for {tenant.domain}")
return
try:
# Create system user for tenant
username = f"gt-{tenant.domain}"
tenant_path = self.base_data_path / tenant.domain
# Check if user already exists
result = subprocess.run(
["id", username],
capture_output=True,
text=True
)
if result.returncode != 0:
# Create user
subprocess.run([
"useradd",
"--system",
"--home-dir", str(tenant_path),
"--shell", "/usr/sbin/nologin",
"--comment", f"GT 2.0 Tenant {tenant.domain}",
username
], check=True)
logger.info(f"Created OS user {username}")
# Set ownership
subprocess.run([
"chown", "-R", f"{username}:{username}", str(tenant_path)
], check=True)
logger.info(f"Set ownership for {tenant.domain}")
except subprocess.CalledProcessError as e:
logger.error(f"Failed to setup OS user for {tenant.domain}: {e}")
# Don't fail the entire provisioning for this
async def _notify_tenant_cluster(self, tenant: Tenant) -> None:
"""Send provisioning message to tenant cluster via RabbitMQ"""
try:
message = {
"action": "tenant_provisioned",
"tenant_id": tenant.uuid,
"tenant_domain": tenant.domain,
"namespace": tenant.namespace,
"config_path": f"/data/{tenant.domain}/shared/configs/tenant_config.json",
"timestamp": datetime.utcnow().isoformat()
}
await self.message_bus.send_tenant_command(
command_type="tenant_provisioned",
tenant_namespace=tenant.namespace,
payload=message
)
logger.info(f"Sent provisioning notification for {tenant.domain}")
except Exception as e:
logger.error(f"Failed to notify tenant cluster for {tenant.domain}: {e}")
# Don't fail provisioning for this
async def _update_tenant_status(self, tenant_id: int, status: str, db: AsyncSession) -> None:
"""Update tenant status in database"""
try:
await db.execute(
update(Tenant)
.where(Tenant.id == tenant_id)
.values(
status=status,
updated_at=datetime.utcnow()
)
)
await db.commit()
except Exception as e:
logger.error(f"Failed to update tenant status: {e}")
async def deprovision_tenant(self, tenant_id: int, db: AsyncSession) -> bool:
"""
Safely deprovision tenant (archive data, don't delete).
Args:
tenant_id: Database ID of tenant to deprovision
db: Database session
Returns:
True if successful, False otherwise
"""
try:
# Get tenant details
result = await db.execute(select(Tenant).where(Tenant.id == tenant_id))
tenant = result.scalar_one_or_none()
if not tenant:
logger.error(f"Tenant {tenant_id} not found")
return False
logger.info(f"Starting deprovisioning for tenant {tenant.domain}")
# Step 1: Create backup
await self._create_tenant_backup(tenant)
# Step 2: Notify tenant cluster to stop services
await self._notify_tenant_shutdown(tenant)
# Step 3: Archive data (don't delete)
await self._archive_tenant_data(tenant)
# Step 4: Update status
await self._update_tenant_status(tenant_id, "archived", db)
logger.info(f"Tenant {tenant.domain} deprovisioned successfully")
return True
except Exception as e:
logger.error(f"Failed to deprovision tenant {tenant_id}: {e}")
return False
async def _create_tenant_backup(self, tenant: Tenant) -> None:
"""Create complete backup of tenant data"""
tenant_path = self.base_data_path / tenant.domain
backup_path = tenant_path / "backups" / f"full_backup_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}.tar.gz"
# Create compressed backup
subprocess.run([
"tar", "-czf", str(backup_path),
"-C", str(tenant_path.parent),
tenant.domain,
"--exclude", "backups"
], check=True)
logger.info(f"Created backup for {tenant.domain}: {backup_path}")
async def _notify_tenant_shutdown(self, tenant: Tenant) -> None:
"""Notify tenant cluster to shutdown services"""
try:
message = {
"action": "tenant_shutdown",
"tenant_id": tenant.uuid,
"tenant_domain": tenant.domain,
"timestamp": datetime.utcnow().isoformat()
}
await self.message_bus.send_tenant_command(
command_type="tenant_shutdown",
tenant_namespace=tenant.namespace,
payload=message
)
except Exception as e:
logger.error(f"Failed to notify tenant shutdown: {e}")
async def _archive_tenant_data(self, tenant: Tenant) -> None:
"""Archive tenant data (rename directory)"""
tenant_path = self.base_data_path / tenant.domain
archive_path = self.base_data_path / f"{tenant.domain}_archived_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}"
if tenant_path.exists():
tenant_path.rename(archive_path)
logger.info(f"Archived tenant data: {archive_path}")
# Background task function for FastAPI
async def deploy_tenant_infrastructure(tenant_id: int) -> None:
"""Background task to deploy tenant infrastructure"""
from app.core.database import get_db_session
provisioning_service = TenantProvisioningService()
async with get_db_session() as db:
success = await provisioning_service.provision_tenant(tenant_id, db)
if success:
logger.info(f"Tenant {tenant_id} provisioned successfully")
else:
logger.error(f"Failed to provision tenant {tenant_id}")
async def archive_tenant_infrastructure(tenant_id: int) -> None:
"""Background task to archive tenant infrastructure"""
from app.core.database import get_db_session
provisioning_service = TenantProvisioningService()
async with get_db_session() as db:
success = await provisioning_service.deprovision_tenant(tenant_id, db)
if success:
logger.info(f"Tenant {tenant_id} archived successfully")
else:
logger.error(f"Failed to archive tenant {tenant_id}")

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"""
Update Service - Manages system updates and version checking
"""
import os
import json
import asyncio
import httpx
from typing import Dict, Any, Optional, List
from datetime import datetime
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, and_, desc
from fastapi import HTTPException, status
import structlog
from app.models.system import SystemVersion, UpdateJob, UpdateStatus, BackupRecord
from app.services.backup_service import BackupService
logger = structlog.get_logger()
class UpdateService:
"""Service for checking and executing system updates"""
GITHUB_API_BASE = "https://api.github.com"
REPO_OWNER = "GT-Edge-AI-Internal"
REPO_NAME = "gt-ai-os-community"
DEPLOY_SCRIPT = "/app/scripts/deploy.sh"
ROLLBACK_SCRIPT = "/app/scripts/rollback.sh"
MIN_DISK_SPACE_GB = 5
def __init__(self, db: AsyncSession):
self.db = db
async def check_for_updates(self) -> Dict[str, Any]:
"""Check GitHub for available updates"""
try:
# Get current version
current_version = await self._get_current_version()
# Query GitHub releases API
url = f"{self.GITHUB_API_BASE}/repos/{self.REPO_OWNER}/{self.REPO_NAME}/releases/latest"
async with httpx.AsyncClient(timeout=httpx.Timeout(10.0)) as client:
response = await client.get(url)
if response.status_code == 404:
logger.warning("No releases found in repository")
return {
"update_available": False,
"current_version": current_version,
"latest_version": None,
"release_notes": None,
"published_at": None,
"download_url": None,
"checked_at": datetime.utcnow().isoformat()
}
if response.status_code != 200:
logger.error(f"GitHub API error: {response.status_code}")
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail="Unable to check for updates from GitHub"
)
release_data = response.json()
latest_version = release_data.get("tag_name", "").lstrip("v")
release_notes = release_data.get("body", "")
published_at = release_data.get("published_at")
update_available = self._is_newer_version(latest_version, current_version)
update_type = self._determine_update_type(latest_version, current_version) if update_available else None
return {
"update_available": update_available,
"available": update_available, # Alias for frontend compatibility
"current_version": current_version,
"latest_version": latest_version,
"update_type": update_type,
"release_notes": release_notes,
"published_at": published_at,
"released_at": published_at, # Alias for frontend compatibility
"download_url": release_data.get("html_url"),
"checked_at": datetime.utcnow().isoformat()
}
except httpx.RequestError as e:
logger.error(f"Network error checking for updates: {str(e)}")
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail="Network error while checking for updates"
)
except Exception as e:
logger.error(f"Error checking for updates: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to check for updates: {str(e)}"
)
async def validate_update(self, target_version: str) -> Dict[str, Any]:
"""Run pre-update validation checks"""
validation_results = {
"valid": True,
"checks": [],
"warnings": [],
"errors": []
}
# Check 1: Disk space
disk_check = await self._check_disk_space()
validation_results["checks"].append(disk_check)
if not disk_check["passed"]:
validation_results["valid"] = False
validation_results["errors"].append(disk_check["message"])
# Check 2: Container health
container_check = await self._check_container_health()
validation_results["checks"].append(container_check)
if not container_check["passed"]:
validation_results["valid"] = False
validation_results["errors"].append(container_check["message"])
# Check 3: Database connectivity
db_check = await self._check_database_connectivity()
validation_results["checks"].append(db_check)
if not db_check["passed"]:
validation_results["valid"] = False
validation_results["errors"].append(db_check["message"])
# Check 4: Recent backup exists
backup_check = await self._check_recent_backup()
validation_results["checks"].append(backup_check)
if not backup_check["passed"]:
validation_results["warnings"].append(backup_check["message"])
# Check 5: No running updates
running_update = await self._check_running_updates()
if running_update:
validation_results["valid"] = False
validation_results["errors"].append(
f"Update job {running_update} is already in progress"
)
return validation_results
async def execute_update(
self,
target_version: str,
create_backup: bool = True,
started_by: str = None
) -> str:
"""Execute system update"""
# Create update job
update_job = UpdateJob(
target_version=target_version,
status=UpdateStatus.pending,
started_by=started_by
)
update_job.add_log(f"Update to version {target_version} initiated", "info")
self.db.add(update_job)
await self.db.commit()
await self.db.refresh(update_job)
job_uuid = update_job.uuid
# Start update in background
asyncio.create_task(self._run_update_process(job_uuid, target_version, create_backup))
logger.info(f"Update job {job_uuid} created for version {target_version}")
return job_uuid
async def get_update_status(self, update_id: str) -> Dict[str, Any]:
"""Get current status of an update job"""
stmt = select(UpdateJob).where(UpdateJob.uuid == update_id)
result = await self.db.execute(stmt)
update_job = result.scalar_one_or_none()
if not update_job:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Update job {update_id} not found"
)
return update_job.to_dict()
async def rollback(self, update_id: str, reason: str = None) -> Dict[str, Any]:
"""Rollback a failed update"""
stmt = select(UpdateJob).where(UpdateJob.uuid == update_id)
result = await self.db.execute(stmt)
update_job = result.scalar_one_or_none()
if not update_job:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Update job {update_id} not found"
)
if update_job.status not in [UpdateStatus.failed, UpdateStatus.in_progress]:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Cannot rollback update in status: {update_job.status}"
)
update_job.rollback_reason = reason or "Manual rollback requested"
update_job.add_log(f"Rollback initiated: {update_job.rollback_reason}", "warning")
await self.db.commit()
# Execute rollback in background
asyncio.create_task(self._run_rollback_process(update_id))
return {"message": "Rollback initiated", "update_id": update_id}
async def _run_update_process(
self,
job_uuid: str,
target_version: str,
create_backup: bool
):
"""Background task to run update process"""
try:
# Reload job from database
stmt = select(UpdateJob).where(UpdateJob.uuid == job_uuid)
result = await self.db.execute(stmt)
update_job = result.scalar_one_or_none()
if not update_job:
logger.error(f"Update job {job_uuid} not found")
return
update_job.status = UpdateStatus.in_progress
await self.db.commit()
# Stage 1: Create pre-update backup
if create_backup:
update_job.current_stage = "creating_backup"
update_job.add_log("Creating pre-update backup", "info")
await self.db.commit()
backup_service = BackupService(self.db)
backup_result = await backup_service.create_backup(
backup_type="pre_update",
description=f"Pre-update backup before upgrading to {target_version}"
)
update_job.backup_id = backup_result["id"]
update_job.add_log(f"Backup created: {backup_result['uuid']}", "info")
await self.db.commit()
# Stage 2: Execute deploy script
update_job.current_stage = "executing_update"
update_job.add_log(f"Running deploy script for version {target_version}", "info")
await self.db.commit()
# Run deploy.sh script
process = await asyncio.create_subprocess_exec(
self.DEPLOY_SCRIPT,
target_version,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
if process.returncode == 0:
# Success
update_job.status = UpdateStatus.completed
update_job.current_stage = "completed"
update_job.completed_at = datetime.utcnow()
update_job.add_log(f"Update to {target_version} completed successfully", "info")
# Record new version
await self._record_version(target_version, update_job.started_by)
else:
# Failure
update_job.status = UpdateStatus.failed
update_job.current_stage = "failed"
update_job.completed_at = datetime.utcnow()
error_msg = stderr.decode() if stderr else "Unknown error"
update_job.error_message = error_msg
update_job.add_log(f"Update failed: {error_msg}", "error")
await self.db.commit()
except Exception as e:
logger.error(f"Update process error: {str(e)}")
stmt = select(UpdateJob).where(UpdateJob.uuid == job_uuid)
result = await self.db.execute(stmt)
update_job = result.scalar_one_or_none()
if update_job:
update_job.status = UpdateStatus.failed
update_job.error_message = str(e)
update_job.completed_at = datetime.utcnow()
update_job.add_log(f"Update process exception: {str(e)}", "error")
await self.db.commit()
async def _run_rollback_process(self, job_uuid: str):
"""Background task to run rollback process"""
try:
stmt = select(UpdateJob).where(UpdateJob.uuid == job_uuid)
result = await self.db.execute(stmt)
update_job = result.scalar_one_or_none()
if not update_job:
logger.error(f"Update job {job_uuid} not found")
return
update_job.current_stage = "rolling_back"
update_job.add_log("Executing rollback script", "warning")
await self.db.commit()
# Run rollback script
process = await asyncio.create_subprocess_exec(
self.ROLLBACK_SCRIPT,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
if process.returncode == 0:
update_job.status = UpdateStatus.rolled_back
update_job.current_stage = "rolled_back"
update_job.completed_at = datetime.utcnow()
update_job.add_log("Rollback completed successfully", "info")
else:
error_msg = stderr.decode() if stderr else "Unknown error"
update_job.add_log(f"Rollback failed: {error_msg}", "error")
await self.db.commit()
except Exception as e:
logger.error(f"Rollback process error: {str(e)}")
async def _get_current_version(self) -> str:
"""Get currently installed version"""
stmt = select(SystemVersion).where(
SystemVersion.is_current == True
).order_by(desc(SystemVersion.installed_at)).limit(1)
result = await self.db.execute(stmt)
current = result.scalar_one_or_none()
return current.version if current else "unknown"
async def _record_version(self, version: str, installed_by: str):
"""Record new system version"""
# Mark all versions as not current
stmt = select(SystemVersion).where(SystemVersion.is_current == True)
result = await self.db.execute(stmt)
old_versions = result.scalars().all()
for old_version in old_versions:
old_version.is_current = False
# Create new version record
new_version = SystemVersion(
version=version,
installed_by=installed_by,
is_current=True
)
self.db.add(new_version)
await self.db.commit()
def _is_newer_version(self, latest: str, current: str) -> bool:
"""Compare version strings"""
try:
latest_parts = [int(x) for x in latest.split(".")]
current_parts = [int(x) for x in current.split(".")]
# Pad shorter version with zeros
max_len = max(len(latest_parts), len(current_parts))
latest_parts += [0] * (max_len - len(latest_parts))
current_parts += [0] * (max_len - len(current_parts))
return latest_parts > current_parts
except (ValueError, AttributeError):
return False
def _determine_update_type(self, latest: str, current: str) -> str:
"""Determine if update is major, minor, or patch"""
try:
latest_parts = [int(x) for x in latest.split(".")]
current_parts = [int(x) for x in current.split(".")]
# Pad to at least 3 parts for comparison
while len(latest_parts) < 3:
latest_parts.append(0)
while len(current_parts) < 3:
current_parts.append(0)
if latest_parts[0] > current_parts[0]:
return "major"
elif latest_parts[1] > current_parts[1]:
return "minor"
else:
return "patch"
except (ValueError, IndexError, AttributeError):
return "patch"
async def _check_disk_space(self) -> Dict[str, Any]:
"""Check available disk space"""
try:
stat = os.statvfs("/")
free_gb = (stat.f_bavail * stat.f_frsize) / (1024 ** 3)
passed = free_gb >= self.MIN_DISK_SPACE_GB
return {
"name": "disk_space",
"passed": passed,
"message": f"Available disk space: {free_gb:.2f} GB (minimum: {self.MIN_DISK_SPACE_GB} GB)",
"details": {"free_gb": round(free_gb, 2)}
}
except Exception as e:
return {
"name": "disk_space",
"passed": False,
"message": f"Failed to check disk space: {str(e)}",
"details": {}
}
async def _check_container_health(self) -> Dict[str, Any]:
"""Check Docker container health"""
try:
# Run docker ps to check container status
process = await asyncio.create_subprocess_exec(
"docker", "ps", "--format", "{{.Names}}|{{.Status}}",
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
if process.returncode != 0:
return {
"name": "container_health",
"passed": False,
"message": "Failed to check container status",
"details": {"error": stderr.decode()}
}
containers = stdout.decode().strip().split("\n")
unhealthy = [c for c in containers if "unhealthy" in c.lower()]
return {
"name": "container_health",
"passed": len(unhealthy) == 0,
"message": f"Container health check: {len(containers)} running, {len(unhealthy)} unhealthy",
"details": {"total": len(containers), "unhealthy": len(unhealthy)}
}
except Exception as e:
return {
"name": "container_health",
"passed": False,
"message": f"Failed to check container health: {str(e)}",
"details": {}
}
async def _check_database_connectivity(self) -> Dict[str, Any]:
"""Check database connection"""
try:
await self.db.execute(select(1))
return {
"name": "database_connectivity",
"passed": True,
"message": "Database connection healthy",
"details": {}
}
except Exception as e:
return {
"name": "database_connectivity",
"passed": False,
"message": f"Database connection failed: {str(e)}",
"details": {}
}
async def _check_recent_backup(self) -> Dict[str, Any]:
"""Check if a recent backup exists"""
try:
from datetime import timedelta
from app.models.system import BackupRecord
one_day_ago = datetime.utcnow() - timedelta(days=1)
stmt = select(BackupRecord).where(
and_(
BackupRecord.created_at >= one_day_ago,
BackupRecord.is_valid == True
)
).order_by(desc(BackupRecord.created_at)).limit(1)
result = await self.db.execute(stmt)
recent_backup = result.scalar_one_or_none()
if recent_backup:
return {
"name": "recent_backup",
"passed": True,
"message": f"Recent backup found: {recent_backup.uuid}",
"details": {"backup_id": recent_backup.id, "created_at": recent_backup.created_at.isoformat()}
}
else:
return {
"name": "recent_backup",
"passed": False,
"message": "No backup found within last 24 hours",
"details": {}
}
except Exception as e:
return {
"name": "recent_backup",
"passed": False,
"message": f"Failed to check for recent backups: {str(e)}",
"details": {}
}
async def _check_running_updates(self) -> Optional[str]:
"""Check for running update jobs"""
stmt = select(UpdateJob.uuid).where(
UpdateJob.status == UpdateStatus.in_progress
).limit(1)
result = await self.db.execute(stmt)
running = result.scalar_one_or_none()
return running

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# Static Assets for Control Panel Backend
This directory contains static assets used by the control panel backend services, particularly for email templates.
## Assets
### Email Resources (`assets/`)
- **gt-edge-ai-logo.png** - GT Edge AI logo used in email templates (password reset, notifications, etc.)
- Source: `/apps/tenant-app/public/gt-edge-ai-new-logo.png`
- Used in: Password reset emails with Content-ID: `<gt_logo>`
- Dimensions: Optimized for email clients
- Format: PNG with transparency
## Usage in Email Templates
The logo is embedded in emails using MIME multipart with Content-ID references:
```python
# In email.py
logo_img = MIMEImage(f.read())
logo_img.add_header('Content-ID', '<gt_logo>')
msg.attach(logo_img)
```
```html
<!-- In HTML email template -->
<img src="cid:gt_logo" alt="GT Edge AI" />
```
## Deployment Notes
- Ensure this directory and its contents are included in Docker images
- The logo file should be accessible at runtime for email generation
- Fallback paths are configured in `app/core/email.py` for different deployment scenarios

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[build-system]
requires = ["setuptools>=64", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "gt2-control-panel-backend"
version = "1.0.0"
description = "GT 2.0 Control Panel Backend API"
dependencies = [
"fastapi>=0.104.1",
"uvicorn[standard]>=0.24.0",
"sqlalchemy>=2.0.23",
"alembic>=1.13.1",
"psycopg2-binary>=2.9.9",
# "redis>=5.0.1", # Redis removed - PostgreSQL handles all caching
"pydantic>=2.5.2",
"pydantic-settings>=2.1.0",
"python-multipart>=0.0.6",
"python-jose[cryptography]>=3.3.0",
"passlib[bcrypt]>=1.7.4",
"bcryptjs>=3.2.0",
"structlog>=23.2.0",
"kubernetes>=28.1.0",
"asyncpg>=0.29.0",
"httpx>=0.25.2",
"celery>=5.3.4",
# "minio>=7.2.0" # MinIO removed - PostgreSQL handles all file storage
]
[tool.black]
line-length = 88
target-version = ['py311']
[tool.isort]
profile = "black"
line_length = 88
[tool.pydocstyle]
convention = "google"
add-ignore = ["D100", "D104"] # Allow missing docstrings in __init__.py
match = "(?!test_).*\\.py" # Exclude test files
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = [
"--cov=app",
"--cov-report=html",
"--cov-report=term-missing",
"--cov-fail-under=80",
"--strict-markers",
"-v",
]
markers = [
"unit: Fast isolated tests (<100ms)",
"integration: Cross-service tests",
"slow: Long-running tests (>1s)",
"security: Security-focused tests",
]
asyncio_mode = "auto"
[tool.coverage.run]
source = ["app"]
omit = [
"*/tests/*",
"*/migrations/*",
"*/venv/*",
"*/env/*",
]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"raise AssertionError",
"raise NotImplementedError",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]
[tool.bandit]
exclude_dirs = ["tests", "migrations", "venv", ".venv"]
skips = ["B101", "B601"] # B101=assert_used, B601=shell_injection (for subprocess)

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[tool:pytest]
minversion = 6.0
addopts =
-ra
--strict-markers
--strict-config
--cov=app
--cov-report=term-missing:skip-covered
--cov-report=html:htmlcov
--cov-report=xml
--cov-fail-under=80
-p no:warnings
testpaths = tests
python_files = test_*.py
python_classes = Test*
python_functions = test_*
markers =
slow: marks tests as slow
integration: marks tests as integration tests
unit: marks tests as unit tests
security: marks tests as security-focused
asyncio_mode = auto
env =
DATABASE_URL = sqlite+aiosqlite:///:memory:
REDIS_URL = redis://localhost:6379/15
SECRET_KEY = test-secret-key-for-testing-only
JWT_SECRET = test-jwt-secret-for-testing-only
MASTER_ENCRYPTION_KEY = test-master-key-32-bytes-long-test
DEBUG = True

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# GT 2.0 Control Panel Backend Development Dependencies
# Install with: pip install -r requirements-dev.txt
-r requirements.txt
# Testing
pytest==7.4.3
pytest-asyncio==0.21.1
pytest-cov==4.1.0
# Code Quality
black==24.10.0
isort==5.12.0
flake8==6.1.0
mypy==1.7.0

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apps/control-panel-backend/requirements-test.txt Normal file
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# Testing dependencies for GT 2.0 Control Panel Backend
pytest==7.4.3
pytest-asyncio==0.21.1
pytest-mock==3.12.0
pytest-cov==4.1.0
httpx==0.25.2
factory-boy==3.3.0
faker==20.1.0
freezegun==1.2.2
pytest-env==1.1.3
pytest-xdist==3.3.1

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apps/control-panel-backend/requirements.txt Normal file
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# GT 2.0 Control Panel Backend Dependencies (Production)
# FastAPI Core
fastapi==0.121.2
uvicorn[standard]==0.38.0
pydantic[email]==2.12.4
pydantic-settings==2.1.0
# Database - PostgreSQL
sqlalchemy==2.0.44
alembic==1.16.2
asyncpg==0.30.0
psycopg2-binary==2.9.9
# Authentication & Security
python-multipart==0.0.20
python-jose[cryptography]==3.4.0
PyJWT==2.10.1
passlib[bcrypt]==1.7.4
bcrypt==4.1.3
# Two-Factor Authentication
pyotp==2.9.0
qrcode==7.4.2
pillow==11.1.0
# Logging
structlog==23.2.0
# HTTP Client
httpx==0.28.1
# Message Queue
aio-pika==9.3.1
# Note: kubernetes removed - only used by resource-cluster
# Note: apscheduler removed - not currently imported/used
# Note: celery removed - not currently imported/used

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{
"extends": ["next/core-web-vitals"]
}

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# Control Panel Frontend Dockerfile
FROM node:18-alpine AS builder
WORKDIR /app
# Accept build args for Docker internal URLs
ARG INTERNAL_API_URL
ARG NEXT_PUBLIC_API_URL
ARG NEXT_PUBLIC_WS_URL
# Set as env vars so next.config.js can use them during build
ENV INTERNAL_API_URL=$INTERNAL_API_URL
ENV NEXT_PUBLIC_API_URL=$NEXT_PUBLIC_API_URL
ENV NEXT_PUBLIC_WS_URL=$NEXT_PUBLIC_WS_URL
# Copy package files
COPY package*.json ./
# Install dependencies (including devDependencies needed for build)
RUN npm install
# Copy application code
COPY . .
# Set NODE_ENV to production AFTER install, BEFORE build
# This enables Next.js production optimizations without breaking npm install
ENV NODE_ENV=production
# Build the application (next.config.js will use env vars above)
RUN npm run build
# Production stage
FROM node:18-alpine
WORKDIR /app
# Set environment to production
ENV NODE_ENV=production
ENV PORT=3000
# Copy built application
COPY --from=builder /app/.next ./.next
COPY --from=builder /app/package*.json ./
COPY --from=builder /app/next.config.js ./
# Copy public directory if it exists
RUN mkdir -p ./public
# Install production dependencies only
RUN npm install --only=production
# Create non-root user
RUN addgroup -g 1001 -S nodejs && \
adduser -S nextjs -u 1001 && \
chown -R nextjs:nodejs /app
USER nextjs
# Expose port
EXPOSE 3000
# Run the application with npm start (uses PORT env var)
CMD ["npm", "start"]

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# Development Dockerfile for Control Panel Frontend
# This is separate from production Dockerfile
FROM node:18-alpine
WORKDIR /app
# Install dependencies for building native modules
RUN apk add --no-cache python3 make g++ git
# Copy package files from the app
COPY package.json ./
# Remove problematic Radix UI packages temporarily
RUN sed -i '/"@radix-ui\/react-badge":/d; /"@radix-ui\/react-button":/d; /"@radix-ui\/react-card":/d; /"@radix-ui\/react-form":/d; /"@radix-ui\/react-input":/d; /"@radix-ui\/react-table":/d' package.json
# Remove workspace dependencies temporarily for install
RUN sed -i '/"@gt2\/types":/d; /"@gt2\/utils":/d' package.json
# Install dependencies (using npm install since we don't have lock files)
RUN npm install
# Copy application code
COPY . .
# Create minimal workspace packages
RUN mkdir -p node_modules/@gt2/types node_modules/@gt2/utils
RUN echo "export const GT2_VERSION = '1.0.0-dev';" > node_modules/@gt2/types/index.js
RUN echo "export const formatDate = (d) => new Date(d).toLocaleDateString();" > node_modules/@gt2/utils/index.js
# Expose port
EXPOSE 3000
# Development command (will be overridden by docker-compose)
CMD ["npm", "run", "dev"]

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# Multi-stage production build for Control Panel Frontend
# Stage 1: Builder
FROM node:18-alpine AS builder
WORKDIR /app
# Install build dependencies
RUN apk add --no-cache python3 make g++ git
# Copy package files
COPY package.json ./
# Remove problematic dependencies (same as dev)
RUN sed -i '/"@radix-ui\/react-badge":/d; /"@radix-ui\/react-button":/d; /"@radix-ui\/react-card":/d; /"@radix-ui\/react-form":/d; /"@radix-ui\/react-input":/d; /"@radix-ui\/react-table":/d' package.json
RUN sed -i '/"@gt2\/types":/d; /"@gt2\/utils":/d' package.json
# Install dependencies
RUN npm install
# Copy source code
COPY . .
# Create mock packages
RUN mkdir -p node_modules/@gt2/types node_modules/@gt2/utils
RUN echo "export const GT2_VERSION = '1.0.0-dev';" > node_modules/@gt2/types/index.js
RUN echo "export const formatDate = (d) => new Date(d).toLocaleDateString();" > node_modules/@gt2/utils/index.js
# Build for production (this applies compiler.removeConsole)
ENV NODE_ENV=production
RUN npm run build
# Stage 2: Production Runner
FROM node:18-alpine AS runner
WORKDIR /app
ENV NODE_ENV=production
ENV NEXT_TELEMETRY_DISABLED=1
# Create non-root user
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
# Copy necessary files from builder
COPY --from=builder /app/public ./public
COPY --from=builder /app/.next/standalone ./
COPY --from=builder /app/.next/static ./.next/static
# Set correct permissions
RUN chown -R nextjs:nodejs /app
USER nextjs
EXPOSE 3000
ENV PORT 3000
ENV HOSTNAME "0.0.0.0"
CMD ["node", "server.js"]

45
apps/control-panel-frontend/jest.config.js Normal file
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const nextJest = require('next/jest')
const createJestConfig = nextJest({
// Provide the path to your Next.js app to load next.config.js and .env files
dir: './',
})
// Add any custom config to be passed to Jest
const customJestConfig = {
setupFilesAfterEnv: ['<rootDir>/jest.setup.js'],
moduleNameMapping: {
// Handle module aliases (this will be automatically configured for you based on your tsconfig.json paths)
'^@/(.*)$': '<rootDir>/src/$1',
},
testEnvironment: 'jest-environment-jsdom',
collectCoverageFrom: [
'src/**/*.{js,jsx,ts,tsx}',
'!src/**/*.d.ts',
'!src/app/layout.tsx',
'!src/app/globals.css',
'!src/**/*.stories.{js,jsx,ts,tsx}',
],
coverageThreshold: {
global: {
branches: 80,
functions: 80,
lines: 80,
statements: 80,
},
},
testMatch: [
'<rootDir>/src/**/__tests__/**/*.{js,jsx,ts,tsx}',
'<rootDir>/src/**/*.{test,spec}.{js,jsx,ts,tsx}',
],
transform: {
'^.+\\.(js|jsx|ts|tsx)$': ['babel-jest', { presets: ['next/babel'] }],
},
transformIgnorePatterns: [
'/node_modules/',
'^.+\\.module\\.(css|sass|scss)$',
],
}
// createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
module.exports = createJestConfig(customJestConfig)

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