app.py

from fastapi import FastAPI, HTTPException, Query
import duckdb
from contextlib import asynccontextmanager

# Global connection object
con = duckdb.connect()

# Lifespan use karke app start hote hi heavy initialization ek baar karenge
@asynccontextmanager
async def lifespan(app: FastAPI):
    print("DuckDB extensions load ho rahi hain aur View ban raha hai...")
    con.execute("INSTALL httpfs; LOAD httpfs;")
    
    # Parquet file ka correct URL
    PARQUET_URL = "https://huggingface.co/datasets/tfqdeadlo/Inddatainonefile/resolve/main/users_data.parquet"
    
    # Startup par hi Ek baar View bana kar metadata cache kar lete hain
    # Isse har API request par network par load nahi padega
    con.execute(f"CREATE OR REPLACE VIEW users_view AS SELECT * FROM read_parquet('{PARQUET_URL}')")
    print("View taiyar hai! API requests ke liye taiyar hai.")
    yield
    con.close()

app = FastAPI(title="Super Fast Search API", lifespan=lifespan)

@app.get("/")
def home():
    return {"message": "Fast API online hai! Use /search?mobile=YOUR_NUMBER"}

@app.get("/search")
async def search_mobile(mobile: str = Query(..., description="Enter mobile number to search")):
    try:
        # Ab hum direct cache kiye hue 'users_view' se data nikalenge
        query = """
            SELECT mobile, name, fname, address, alt, circle, id, email 
            FROM users_view 
            WHERE mobile = ? 
            LIMIT 1
        """
        
        result = con.execute(query, [str(mobile)]).fetchall()
        
        if not result:
            return {
                "status": "error", 
                "message": f"Mobile number {mobile} nahi mila."
            }
        
        # Data mapping
        columns = [desc[0] for desc in con.description]
        row_dict = dict(zip(columns, result[0]))
        
        return {
            "status": "success",
            "data": row_dict
        }
        
    except Exception as e:
        # Internal error ko secure rakhne ke liye mask kiya hai
        raise HTTPException(status_code=500, detail="Query timeout ya process nahi ho payi.")