File size: 1,916 Bytes
478dbbd fed7eb0 478dbbd fed7eb0 478dbbd fed7eb0 478dbbd fed7eb0 478dbbd fed7eb0 478dbbd fed7eb0 478dbbd fed7eb0 478dbbd fed7eb0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
from __future__ import annotations
from typing import Any, Dict, Optional
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from ..deps import get_settings
from ..core.config import Settings
from ..core.schema import PlanRequest, PlanResponse
from ..services.plan_service import generate_plan
router = APIRouter()
class PlanRequestIn(BaseModel):
"""
Permissive boundary model so the Dev UI (and Guardian) can send richer payloads.
We normalize to the strict PlanRequest after basic checks.
"""
mode: Optional[str] = "plan"
context: Dict[str, Any]
constraints: Dict[str, Any]
@router.post("/plan", response_model=PlanResponse)
async def v1_plan(req_in: PlanRequestIn, settings: Settings = Depends(get_settings)):
"""
Generate a structured remediation plan from health/context.
- Accepts permissive input (extra keys allowed).
- Coerces to strict PlanRequest (pydantic) before calling the service.
"""
if (req_in.mode or "plan") != "plan":
raise HTTPException(
status_code=400,
detail=f"Mode '{req_in.mode}' is not enabled. Only 'plan' is supported in Stage 1.",
)
try:
# Coerce to strict schema; pydantic will validate & coerce types
req = PlanRequest.model_validate(
{
"mode": "plan",
"context": req_in.context,
"constraints": req_in.constraints,
}
)
except Exception as e:
# Return a clear validation error rather than generic 500
raise HTTPException(status_code=422, detail=f"Invalid plan payload: {e}")
try:
return await generate_plan(req, settings=settings)
except Exception as e:
# Surface inference/backend errors as 503 (service unavailable)
raise HTTPException(status_code=503, detail=f"Inference service failed: {e}")
|