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IPARD III - FastAPI Backend
Run instruction: From the src/ directory
uvicorn api:app --reload --port 8000
"""
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from typing import Optional
import time
import json
# Import from rag_pipeline (located in the same src/ directory)
from rag_pipeline import rag_query, rag_query_stream
app = FastAPI(
title="IPARD III RAG API",
description="Hybrid RAG system built on IPARD III official documents",
version="1.1.0",
)
# Enable CORS for cross-origin frontend communication
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["*"],
allow_headers=["*"],
)
# ── Request / Response Models ──────────────────────────────────────────────
class QueryRequest(BaseModel):
query: str
measure: Optional[str] = None # Mapping 'tedbir' to 'measure'
doc_type: Optional[str] = None
class SourceItem(BaseModel):
source_file: str
doc_type: str
measure: Optional[str] = "" # Mapping 'tedbir' to 'measure'
sector: Optional[str] = "" # Mapping 'sektor' to 'sector'
heading: str
rerank_score: float
class QueryResponse(BaseModel):
query: str
answer: str
sources: list[SourceItem]
elapsed_ms: int
# ── Endpoints ─────────────────────────────────────────────────────────────────
@app.get("/health")
def health_check():
"""Simple health check endpoint to verify API status."""
return {"status": "ok"}
@app.post("/query", response_model=QueryResponse)
def query_endpoint(req: QueryRequest):
"""
Standard query endpoint — waits for the full LLM response before returning.
"""
if not req.query.strip():
raise HTTPException(status_code=400, detail="Query cannot be empty.")
if len(req.query) > 500:
raise HTTPException(status_code=400, detail="Query cannot exceed 500 characters.")
start_time = time.time()
try:
# Note: mapping 'measure' back to 'tedbir' parameter expected by rag_query
result = rag_query(
query=req.query,
tedbir=req.measure,
doc_type=req.doc_type,
verbose=False,
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
elapsed = int((time.time() - start_time) * 1000)
# Format source metadata for response
sources = [
SourceItem(
source_file=s.get("source_file") or "",
doc_type=s.get("doc_type") or "",
measure=s.get("measure") or "",
sector=s.get("sector") or "",
heading=s.get("heading") or "",
rerank_score=s.get("rerank_score") or 0.0,
)
for s in result["sources"]
]
return QueryResponse(
query=result["query"],
answer=result["answer"],
sources=sources,
elapsed_ms=elapsed,
)
@app.post("/query/stream")
def query_stream_endpoint(req: QueryRequest):
"""
Streaming query endpoint — sends real-time tokens via Server-Sent Events (SSE).
Event Types:
data: {"type": "sources", "sources": [...]} → List of retrieved sources (sent first)
data: {"type": "token", "text": "..."} → LLM response tokens (streamed)
data: {"type": "done", "elapsed_ms": 1234} → Stream completion status
data: {"type": "error", "detail": "..."} → Error details if applicable
"""
if not req.query.strip():
raise HTTPException(status_code=400, detail="Query cannot be empty.")
if len(req.query) > 500:
raise HTTPException(status_code=400, detail="Query cannot exceed 500 characters.")
def event_generator():
start_time = time.time()
try:
# Map 'measure' from request to 'tedbir' for the generator
for event in rag_query_stream(
query=req.query,
tedbir=req.measure,
doc_type=req.doc_type,
):
yield f"data: {json.dumps(event, ensure_ascii=False)}\n\n"
elapsed = int((time.time() - start_time) * 1000)
yield f"data: {json.dumps({'type': 'done', 'elapsed_ms': elapsed})}\n\n"
except Exception as e:
yield f"data: {json.dumps({'type': 'error', 'detail': str(e)})}\n\n"
return StreamingResponse(
event_generator(),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
},
)
@app.get("/measures")
def list_measures():
"""Returns the list of available IPARD III Measures (Tedbirler)."""
return {
"measures": [
{"code": "101", "name": "Investments in Physical Assets of Agricultural Holdings"},
{"code": "103", "name": "Processing and Marketing of Agriculture and Fishery Products"},
{"code": "201", "name": "Farm Activities and Business Development"},
{"code": "202", "name": "Village Renewal and Development"},
{"code": "302", "name": "Diversification of Farm Activities"},
]
}
# Run with: python api.py
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="127.0.0.1", port=8000)
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