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import os
import logging
import tempfile
from fastapi import FastAPI, UploadFile, File, HTTPException, Query
from fastapi.concurrency import run_in_threadpool
from fastapi.middleware.cors import CORSMiddleware
from src.services.cv_service import parse_cv
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI(
title="CV Parser API",
description="API for parsing CVs.",
version="1.0.0",
docs_url="/docs",
redoc_url="/redoc"
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
from pydantic import BaseModel
class HealthCheck(BaseModel):
status: str = "ok"
@app.get("/", response_model=HealthCheck, tags=["Status"])
async def health_check():
return HealthCheck()
@app.post("/parse-cv/", tags=["CV Parsing"])
async def parse_cv_endpoint(
file: UploadFile = File(...)
):
"""
Parses a CV file (PDF) and returns the parsed data.
"""
if file.content_type != "application/pdf":
raise HTTPException(status_code=400, detail="PDF file required")
contents = await file.read()
with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
tmp.write(contents)
tmp_path = tmp.name
try:
result = await parse_cv(tmp_path)
finally:
if os.path.exists(tmp_path):
os.remove(tmp_path)
if not result:
raise HTTPException(status_code=500, detail="Failed to extract data from CV.")
return result
if __name__ == "__main__":
import uvicorn
port = int(os.getenv("PORT", 7860)) # Use PORT environment variable, default to 8001
uvicorn.run(app, host="0.0.0.0", port=port)
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