32 lines
1.5 KiB
Python
Executable File
32 lines
1.5 KiB
Python
Executable File
# /opt/docker/dev/service_finder/backend/app/api/v1/endpoints/evidence.py
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import logging
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from fastapi import APIRouter, UploadFile, File, HTTPException, status, Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, func, text
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from app.api.deps import get_db, get_current_user
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from app.models.identity import User
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from app.models import Asset # JAVÍTVA: Asset modell
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logger = logging.getLogger(__name__)
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router = APIRouter()
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@router.post("/scan-registration")
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async def scan_registration_document(file: UploadFile = File(...), db: AsyncSession = Depends(get_db), current_user: User = Depends(get_current_user)):
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stmt_limit = text("SELECT (value->>:plan)::int FROM system.system_parameters WHERE key = 'VEHICLE_LIMIT'")
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plan_key = (current_user.subscription_plan or "free").lower()
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res = await db.execute(stmt_limit, {"plan": plan_key})
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max_allowed = max(res.scalar() or 1, 1)
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stmt_count = select(func.count(Asset.id)).where(
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Asset.owner_org_id == current_user.scope_id,
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Asset.status == "active"
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)
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count = (await db.execute(stmt_count)).scalar() or 0
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if count >= max_allowed:
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logger.error(f"QUOTA BLOCK TRIGGERED - User Person ID: {current_user.person_id}, Active Count: {count}, Limit: {max_allowed}")
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raise HTTPException(status_code=403, detail=f"Limit túllépés: {max_allowed} jármű engedélyezett.")
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# OCR hívás helye...
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return {"success": True, "message": "Feldolgozás megkezdődött."} |