Spaces:
Sleeping
Sleeping
File size: 2,073 Bytes
2874220 | 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 | from flask import Flask, request, jsonify
import pyarrow.parquet as pq
app = Flask(__name__)
PARQUET_FILE = "mera_data.parquet"
def search_data(query):
query = str(query).strip().lower()
pf = pq.ParquetFile(PARQUET_FILE)
for batch in pf.iter_batches(batch_size=10000):
for i in range(batch.num_rows):
tg_id = str(batch.column("TG_ID")[i].as_py() or "").lower()
tg_username = str(batch.column("TG_USERNAME")[i].as_py() or "").lower()
if query == tg_id or query == tg_username:
return {
"TG_ID": batch.column("TG_ID")[i].as_py(),
"FIRST_NAME": batch.column("FIRST_NAME")[i].as_py(),
"TG_USERNAME": batch.column("TG_USERNAME")[i].as_py(),
"PHONE": batch.column("PHONE")[i].as_py(),
}
return None
@app.route("/search", methods=["GET"])
def search():
query = request.args.get("search", "").strip()
if not query:
return jsonify({
"status": "error",
"message": "Search value required!",
"example": "/search?search=Kudesner77",
"owner": "Code X",
"username": "@C4DX1"
}), 400
result = search_data(query)
if result:
return jsonify({
"status": "found",
"query": query,
"data": result,
"owner": "Code X",
"username": "@C4DX1"
})
else:
return jsonify({
"status": "not found",
"query": query,
"message": "No data found!",
"owner": "Code X",
"username": "@C4DX1"
}), 404
@app.route("/", methods=["GET"])
def home():
return jsonify({
"status": "online",
"name": "Code X API",
"owner": "Code X",
"username": "@C4DX1",
"usage": "/search?search=TG_USERNAME or TG_ID",
"example": "/search?search=Kudesner77"
})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860)
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