main.py

from fastapi import FastAPI, HTTPException, UploadFile, File
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, HttpUrl
from typing import Optional
import uvicorn

from services.analyzer import analyze_content
from services.text_extractor import extract_from_url, extract_from_document

app = FastAPI(
    title="HateShield-BN API",
    description="Bilingual Hate Speech Detection System",
    version="1.0.0"
)

# CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["http://localhost:5173", "http://localhost:3000","https://hate-shield-bn-frontend.vercel.app"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Request models
class TextRequest(BaseModel):
    text: str

class URLRequest(BaseModel):
    url: HttpUrl

# Routes
@app.get("/")
async def root():
    return {
        "message": "HateShield-BN API is running!",
        "version": "1.0.0",
        "endpoints": {
            "text": "/api/analyze/text",
            "url": "/api/analyze/url",
            "document": "/api/analyze/document"
        }
    }

@app.post("/api/analyze/text")
async def analyze_text(request: TextRequest):
    """Analyze text for hate speech"""
    try:
        if not request.text or len(request.text.strip()) == 0:
            raise HTTPException(status_code=400, detail="Text cannot be empty")
        
        result = await analyze_content(request.text)
        return result
    except Exception as e:
        print(f"Error analyzing text: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.post("/api/analyze/url")
async def analyze_url(request: URLRequest):
    """Analyze content from URL"""
    try:
        # Note: extract_from_url is now synchronous
        text = extract_from_url(str(request.url))
        
        if not text:
            raise HTTPException(status_code=400, detail="Could not extract text from URL")
        
        result = await analyze_content(text)
        return result
    except HTTPException:
        raise
    except Exception as e:
        print(f"Error analyzing URL: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.post("/api/analyze/document")
async def analyze_document(file: UploadFile = File(...)):
    """Analyze uploaded document"""
    try:
        # Check file type
        allowed_types = [".pdf", ".docx", ".txt"]
        file_ext = f".{file.filename.split('.')[-1].lower()}"
        
        if file_ext not in allowed_types:
            raise HTTPException(
                status_code=400, 
                detail=f"File type {file_ext} not supported. Allowed: {', '.join(allowed_types)}"
            )
        
        # Read file content
        content = await file.read()
        
        # Note: extract_from_document is now synchronous
        text = extract_from_document(content, file_ext)
        
        if not text:
            raise HTTPException(status_code=400, detail="Could not extract text from document")
        
        result = await analyze_content(text)
        return result
    except HTTPException:
        raise
    except Exception as e:
        print(f"Error analyzing document: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.get("/health")
async def health_check():
    return {"status": "healthy"}

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