main.py

from fastapi import FastAPI, File, UploadFile, Form, HTTPException, Request, Depends
from fastapi.staticfiles import StaticFiles
from fastapi.responses import HTMLResponse
from fastapi.responses import JSONResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel, HttpUrl
from typing import Optional
import uvicorn
from fastapi.middleware.cors import CORSMiddleware
from utils import read_file, fetch_job_description, optimize_resume_api
import logging
import os
from fastapi.responses import JSONResponse
API_SECRET = os.getenv("API_SECRET")

# Set up logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)

app = FastAPI(title="Resume Optimizer API")

app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"])

security = HTTPBearer()

class OptimizationResponse(BaseModel):
    optimized_resume: str
    changes_made: str
    metadata: dict

class ErrorResponse(BaseModel):
    detail: str

def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)):
    token = credentials.credentials
    if token != API_SECRET:
        raise HTTPException(status_code=401, detail="Invalid authentication token")
    return token

import re

def extract_xml_content(text, tag):
    pattern = f"<{tag}>(.*?)</{tag}>"
    matches = re.findall(pattern, text, re.DOTALL)
    return matches

@app.post("/api/v1/optimize-resume", response_model=OptimizationResponse, responses={400: {"model": ErrorResponse}, 401: {"model": ErrorResponse}, 500: {"model": ErrorResponse}})
async def optimize_resume(
    resume: Optional[UploadFile] = File(None),
    resumeText: Optional[str] = Form(None),
    jobDescription: Optional[str] = Form(None),
    jobDescriptionUrl: Optional[HttpUrl] = Form(None),
    token: str = Depends(verify_token)
):
    try:
        # Input validation
        if (resume is None) == (resumeText is None):
            raise ValueError("Provide either resume file or resume text, but not both")
        if (jobDescription is None) == (jobDescriptionUrl is None):
            raise ValueError("Provide either job description text or URL, but not both")
        
        # Process resume
        if resume:
            resume_content = read_file(resume)
        else:
            resume_content = resumeText
        
        # Process job description
        if jobDescription:
            job_description_content = jobDescription
        else:
            job_description_content = fetch_job_description(jobDescriptionUrl)

        # Perform optimization
        output = optimize_resume_api(resume_content, job_description_content)
        optimized_resume = extract_xml_content(output, "optimized_resume")
        changes_made = extract_xml_content(output, "changes_made")
        
        # Prepare the response
        response_data = OptimizationResponse(
            optimized_resume=optimized_resume[0] if optimized_resume else "",
            changes_made=changes_made[0] if changes_made else "",
            metadata={
                "original_resume": resume_content,
                "original_jd": job_description_content
            }
        )

        return response_data

    except ValueError as ve:
        logger.error(f"ValueError occurred: {str(ve)}", exc_info=True)
        raise HTTPException(status_code=400, detail=str(ve))
    except Exception as e:
        logger.error(f"Unexpected error occurred: {str(e)}", exc_info=True)
        raise HTTPException(status_code=500, detail=f"An unexpected error occurred: {str(e)}")

# Mount the static directory
app.mount("/static", StaticFiles(directory="static"), name="static")

# Add a route for serving the HTML file
@app.get("/", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/index.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

# Add a route for serving the HTML file
@app.get("/career", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/resume-optimizer.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/followup-agent", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/followup-agent.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/digiyatra", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/digiyatra.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/auth", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/auth.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/auth-success", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/auth-success.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/app-selector", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/v0/app-selector.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)


@app.get("/multi-agent", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/multi-agent.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)
    
@app.get("/medium-report", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/medium-report.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/iresearcher", response_class=HTMLResponse)
async def serve_iresearcher():
    with open("static/iresearcher.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.get("/graph-maker", response_class=HTMLResponse)
async def serve_iresearcher():
    with open("static/graph-maker.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)


@app.get("/indic-tts", response_class=HTMLResponse)
async def serve_indic_tts():
    with open("static/indic-text-to-speech.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)



@app.get("/file-convert", response_class=HTMLResponse)
async def serve_resume_optimizer():
    with open("static/file-convert.html", "r") as file:
        content = file.read()
    return HTMLResponse(content=content)

@app.exception_handler(HTTPException)
async def http_exception_handler(request: Request, exc: HTTPException):
    return JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000, debug=True)