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File size: 2,386 Bytes
6da2b52 | 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 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | import os
import logging
import tempfile
import uuid
from langtrace_python_sdk import inject_additional_attributes
from fastapi import FastAPI, UploadFile, File, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from src.services.cv_service import parse_cv
from langtrace_python_sdk import langtrace
langtrace.init(api_key=os.getenv("LANGTRACE_API_KEY"))
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI(
title="CV Parser API",
description="parsing de CV agentique",
version="2.0.0",
docs_url="/docs",
redoc_url="/redoc"
)
ALLOWED_ORIGINS = os.getenv("CORS_ORIGINS", "http://localhost:8000").split(",")
app.add_middleware(
CORSMiddleware,
allow_origins=ALLOWED_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:
session_id = str(uuid.uuid4())
attributes = {
"session.id": session_id,
"user_id": session_id
}
async def _traced_parse():
return await parse_cv(tmp_path)
result = await inject_additional_attributes(
_traced_parse,
attributes
)
except Exception as e:
logger.error(f"Error processing CV: {str(e)}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Internal Server Error: {str(e)}")
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", 8001))
uvicorn.run(app, host="0.0.0.0", port=port)
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