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Update app.py
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app.py
CHANGED
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@@ -1,4 +1,4 @@
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import duckdb
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from contextlib import asynccontextmanager
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@@ -9,17 +9,22 @@ con = duckdb.connect()
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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print("DuckDB extensions load ho rahi hain aur View ban raha hai...")
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yield
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app = FastAPI(title="Super Fast Search API", lifespan=lifespan)
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@@ -30,7 +35,7 @@ def home():
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@app.get("/search")
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async def search_mobile(mobile: str = Query(..., description="Enter mobile number to search")):
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try:
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#
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query = """
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SELECT mobile, name, fname, address, alt, circle, id, email
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FROM users_view
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@@ -56,6 +61,7 @@ async def search_mobile(mobile: str = Query(..., description="Enter mobile numbe
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}
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except Exception as e:
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# Internal error ko secure rakhne ke liye mask kiya hai
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raise HTTPException(status_code=500, detail="Query timeout ya process nahi ho payi.")
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from fastapi import FastAPI, HTTPException, Query
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import duckdb
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from contextlib import asynccontextmanager
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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print("DuckDB extensions load ho rahi hain aur View ban raha hai...")
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try:
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con.execute("INSTALL httpfs; LOAD httpfs;")
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# Parquet file ka correct URL
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PARQUET_URL = "https://huggingface.co/datasets/tfqdeadlo/Inddatainonefile/resolve/main/users_data.parquet"
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# Startup par hi Ek baar View bana kar metadata cache kar lete hain
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con.execute(f"CREATE OR REPLACE VIEW users_view AS SELECT * FROM read_parquet('{PARQUET_URL}')")
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print("View taiyar hai! API requests ke liye taiyar hai.")
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except Exception as e:
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print(f"❌ Startup Initialization me error aaya: {e}")
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yield
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try:
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con.close()
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except Exception:
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pass
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app = FastAPI(title="Super Fast Search API", lifespan=lifespan)
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@app.get("/search")
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async def search_mobile(mobile: str = Query(..., description="Enter mobile number to search")):
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try:
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# Cache kiye hue 'users_view' se data nikalenge
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query = """
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SELECT mobile, name, fname, address, alt, circle, id, email
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FROM users_view
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}
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except Exception as e:
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print(f"❌ Query execute karne me error: {e}")
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# Internal error ko secure rakhne ke liye mask kiya hai
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raise HTTPException(status_code=500, detail="Query timeout ya process nahi ho payi.")
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