Files
boc/landvex-admin-backend/app/database.py
T
Bernt aee0f09db8 landvex: Fixar och tester klara för alla komponenter
- Datafabrik: Dockerfile fix, agentorkestrering fungerar
- Vision: Identify-modell, FAISS, OCR alla testade
- API: Alla 7 integrationstester passerade
- Upplösare: Entitetsupplösning verifierad
2026-07-05 06:41:32 +00:00

144 lines
4.4 KiB
Python

"""
Databaskonfiguration och session-hantering för LandveX Admin Backend.
Inkluderar tenant schema-isolering via PostgreSQL search_path.
"""
from contextlib import asynccontextmanager
from typing import AsyncGenerator, Optional
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import declarative_base
from sqlalchemy import text
from app.config import get_settings
settings = get_settings()
# SQLite stödjer inte pool_size/max_overflow
if settings.DATABASE_URL.startswith("sqlite"):
engine = create_async_engine(
settings.DATABASE_URL,
echo=settings.DEBUG,
future=True,
)
else:
engine = create_async_engine(
settings.DATABASE_URL,
pool_size=settings.DATABASE_POOL_SIZE,
max_overflow=settings.DATABASE_MAX_OVERFLOW,
pool_pre_ping=True,
echo=settings.DEBUG,
future=True,
)
AsyncSessionLocal = async_sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False,
autoflush=False,
autocommit=False,
)
Base = declarative_base()
async def get_db() -> AsyncSession:
"""Dependency för FastAPI-endpoints."""
async with AsyncSessionLocal() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
finally:
await session.close()
@asynccontextmanager
async def get_db_context() -> AsyncGenerator[AsyncSession, None]:
"""Context manager för databassessioner."""
async with AsyncSessionLocal() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
finally:
await session.close()
class TenantContext:
"""Context manager för tenant schema-isolering.
Använder PostgreSQL search_path och application context
för att säkerställa dataisolering mellan tenants.
"""
def __init__(self, session: AsyncSession, tenant_schema: Optional[str] = None):
self.session = session
self.tenant_schema = tenant_schema or settings.DEFAULT_TENANT_SCHEMA
async def __aenter__(self):
"""Sätt tenant context på databasanslutningen."""
await self.session.execute(
text(f'SET search_path TO "{self.tenant_schema}", public')
)
await self.session.execute(
text("SELECT set_config('app.current_tenant', :tenant, true)"),
{"tenant": self.tenant_schema}
)
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
"""Återställ tenant context."""
await self.session.execute(text('SET search_path TO public'))
await self.session.execute(
text("SELECT set_config('app.current_tenant', '', true)")
)
return False
async def set_tenant_schema(session: AsyncSession, tenant_schema: str) -> None:
"""Sätt tenant schema för aktuell session."""
await session.execute(
text(f'SET search_path TO "{tenant_schema}", public')
)
await session.execute(
text("SELECT set_config('app.current_tenant', :tenant, true)"),
{"tenant": tenant_schema}
)
async def reset_tenant_schema(session: AsyncSession) -> None:
"""Återställ schema till default."""
await session.execute(text('SET search_path TO public'))
await session.execute(
text("SELECT set_config('app.current_tenant', '', true)")
)
async def create_tenant_schema(schema_name: str) -> None:
"""Skapa ett nytt schema för en tenant."""
async with engine.begin() as conn:
await conn.execute(text(f'CREATE SCHEMA IF NOT EXISTS "{schema_name}"'))
await conn.execute(text(f'GRANT USAGE ON SCHEMA "{schema_name}" TO PUBLIC'))
async def drop_tenant_schema(schema_name: str) -> None:
"""Ta bort ett tenant schema."""
async with engine.begin() as conn:
await conn.execute(text(f'DROP SCHEMA IF EXISTS "{schema_name}" CASCADE'))
async def schema_exists(schema_name: str) -> bool:
"""Kolla om ett schema finns."""
async with engine.connect() as conn:
result = await conn.execute(
text(
"SELECT EXISTS(SELECT 1 FROM information_schema.schemata WHERE schema_name = :schema)"
),
{"schema": schema_name}
)
return result.scalar()