310491a557
- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
"""
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Tenant Isolation Middleware for GT 2.0
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Ensures perfect tenant isolation for all requests.
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"""
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from fastapi import Request, Response
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from starlette.middleware.base import BaseHTTPMiddleware
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import logging
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from app.core.config import get_settings
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logger = logging.getLogger(__name__)
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settings = get_settings()
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class TenantIsolationMiddleware(BaseHTTPMiddleware):
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"""Middleware to enforce tenant isolation boundaries"""
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async def dispatch(self, request: Request, call_next):
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# Add tenant context to request
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request.state.tenant_id = settings.tenant_id
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request.state.tenant_domain = settings.tenant_domain
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# Validate tenant isolation
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await self._validate_tenant_isolation(request)
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response = await call_next(request)
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# Add tenant headers to response
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response.headers["X-Tenant-Domain"] = settings.tenant_domain
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response.headers["X-Tenant-Isolated"] = "true"
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return response
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async def _validate_tenant_isolation(self, request: Request):
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"""Validate that all operations are tenant-isolated"""
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# This is where we would add tenant boundary validation
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# For now, we just log the tenant context
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logger.debug(
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"Tenant isolation validated",
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extra={
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"tenant_id": settings.tenant_id,
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"tenant_domain": settings.tenant_domain,
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"path": request.url.path,
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"method": request.method,
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}
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) |