jira-webhook-llm/api/handlers.py
Ireneusz Bachanowicz 935a8a49ae
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Almost stable tests
2025-07-17 02:21:56 +02:00

75 lines
2.5 KiB
Python

from fastapi import APIRouter, Request, HTTPException, Depends
from fastapi.responses import JSONResponse
from typing import Dict, Any
import config
from llm.models import LLMResponse
from database.database import get_db_session # Removed Session import here
from sqlalchemy.orm import Session # Added correct SQLAlchemy import
from database.crud import get_all_analysis_records, delete_all_analysis_records, get_analysis_by_id
router = APIRouter(
prefix="/api",
tags=["API"]
)
@router.get("/requests")
async def get_analysis_records_endpoint(db: Session = Depends(get_db_session)):
"""Get analysis records"""
try:
records = get_all_analysis_records(db)
return JSONResponse(
status_code=200,
content={"data": records}
)
except Exception as e:
return JSONResponse(
status_code=500,
content={"error": str(e)}
)
@router.post("/test-llm")
async def test_llm_endpoint(db: Session = Depends(get_db_session)):
"""Test endpoint for LLM integration"""
try:
from llm.chains import llm
test_prompt = "What is 1 + 1? Respond only with the number."
response = llm.invoke(test_prompt)
return {
"status": "success",
"message": "LLM integration test successful",
"response": str(response)
}
except Exception as e:
return JSONResponse(
status_code=500,
content={
"status": "error",
"message": f"LLM test failed: {str(e)}"
}
)
@router.delete("/requests")
async def delete_analysis_records_endpoint(db: Session = Depends(get_db_session)):
"""Delete analysis records"""
try:
deleted_count = delete_all_analysis_records(db)
return JSONResponse(
status_code=200,
content={"message": f"Successfully deleted {deleted_count} records", "deleted_count": deleted_count}
)
except Exception as e:
return JSONResponse(
status_code=500,
content={"error": str(e)})
@router.get("/requests/{record_id}")
async def get_analysis_record_endpoint(record_id: int, db: Session = Depends(get_db_session)):
"""Get specific analysis record by ID"""
record = get_analysis_by_id(db, record_id)
if not record:
raise HTTPException(status_code=404, detail="Analysis record not found")
return JSONResponse(
status_code=200,
content=record.dict() # Ensure proper data serialization
)