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Upload 7 files
Browse files- mcp/client/host.py +110 -0
- mcp/server/db_schema.py +124 -0
- mcp/server/eval.txt +37 -0
- mcp/server/main.py +24 -0
- mcp/server/routes.py +167 -0
- mcp/server/swiggy_cache.json +1379 -0
- mcp/server/swiggy_scraper.py +179 -0
mcp/client/host.py
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#!/usr/bin/env python3
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"""
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CLI host for the FastAPI-powered Swiggy server.
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Flow
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1. Send natural-language query → /parse_query
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2. If is_swiggy_query == True and dates are present → /get_orders
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3. Pretty-print the result
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"""
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import requests, sys
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from dateutil import parser as dtparse
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API_BASE = "http://127.0.0.1:8000"
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# ----------------------------------------------------------------------
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# Helpers
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# ----------------------------------------------------------------------
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def nice_date(dt_str: str | None) -> str:
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if not dt_str:
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return "??"
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return dtparse.parse(dt_str).strftime("%d %b %Y")
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def pretty_order(order: dict) -> str:
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if "error" in order:
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return f" - Email #{order['email_number']}: ❌ {order['error']}"
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head = (
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f"Restaurant : {order['restaurant_name']}\n"
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f"Date : {nice_date(order['order_date'])} {order['order_time']}\n"
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f"Total : ₹{order['total_price']:.0f}\n"
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"Items:"
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)
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items = "\n".join(
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f" • {it['quantity']} × {it['name']} – ₹{it['price']:.0f}"
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for it in order["items"]
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)
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return head + "\n" + items
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# ----------------------------------------------------------------------
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# Main REPL
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# ----------------------------------------------------------------------
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def main() -> None:
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# Quick health-check
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try:
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requests.get(f"{API_BASE}/docs").raise_for_status()
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except Exception as e:
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print("❌ Cannot reach FastAPI server:", e)
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sys.exit(1)
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print("✅ Connected. Type a Swiggy question (or Ctrl-C to quit).")
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while True:
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try:
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query = input("\n🗨️ You: ").strip()
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except (EOFError, KeyboardInterrupt):
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break
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if not query:
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continue
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# ── Stage 1: parse_query ────────────────────────────────────
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try:
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r = requests.post(f"{API_BASE}/parse_query", json={"query": query})
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r.raise_for_status()
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meta = r.json() # {is_swiggy_query, start_date, end_date, intent}
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except Exception as e:
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print("⚠️ Parse error:", e)
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print("🔎 Server:", r.text if 'r' in locals() else "no response")
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continue
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# Handle non-Swiggy or missing dates
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if not meta.get("is_swiggy_query"):
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print("🤷 That doesn’t look like a Swiggy order query.")
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continue
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if not meta.get("start_date") or not meta.get("end_date"):
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print("⚠️ Couldn’t find a full date range in your question.")
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continue
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print(f" ↳ Date range: {meta['start_date']} → {meta['end_date']}")
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print(f" ↳ Intent : {meta['intent']}")
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# ── Stage 2: get_orders ────────────────────────────────────
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try:
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r2 = requests.post(
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f"{API_BASE}/get_orders",
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json={
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"start_date": meta["start_date"],
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"end_date": meta["end_date"],
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},
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)
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r2.raise_for_status()
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orders = r2.json()
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except Exception as e:
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print("⚠️ Failed to fetch orders:", e)
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print("🔎 Server:", r2.text if 'r2' in locals() else "no response")
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continue
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# ── Output ────────────────────────────────────────────────
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if not orders:
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print("😕 No orders found for that range.")
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continue
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print("\n📦 Orders:")
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for o in orders:
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print(pretty_order(o))
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print("-" * 40)
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print("\n👋 Bye!")
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# ----------------------------------------------------------------------
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if __name__ == "__main__":
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main()
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mcp/server/db_schema.py
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@@ -0,0 +1,124 @@
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# File: db_schema.py
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import sqlite3
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DB_NAME = "swiggy_orders.db"
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def init_db(db_path: str = DB_NAME) -> None:
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"""
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Initialize the SQLite database with the necessary tables.
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"""
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conn = sqlite3.connect(db_path)
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c = conn.cursor()
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# Orders metadata
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c.execute(
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"""
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CREATE TABLE IF NOT EXISTS orders (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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email_number INTEGER,
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order_date TEXT,
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order_time TEXT,
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restaurant_name TEXT,
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delivery_address TEXT,
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total_price REAL
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)
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"""
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)
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# Individual items per order
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c.execute(
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"""
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CREATE TABLE IF NOT EXISTS order_items (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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order_id INTEGER,
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item_name TEXT,
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quantity INTEGER,
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price REAL,
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FOREIGN KEY(order_id) REFERENCES orders(id)
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)
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"""
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)
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conn.commit()
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conn.close()
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def get_db_connection(db_path: str = DB_NAME) -> sqlite3.Connection:
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"""Return a new connection to the database."""
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return sqlite3.connect(db_path)
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def get_orders_by_date_from_db(date_str: str) -> list[dict]:
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"""
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Fetch all orders and their items for a given date from the database.
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"""
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conn = get_db_connection()
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c = conn.cursor()
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c.execute(
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"SELECT id, email_number, order_time, restaurant_name, delivery_address, total_price"
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" FROM orders WHERE order_date = ?",
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(date_str,)
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)
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orders = []
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for order_id, email_number, order_time, restaurant_name, delivery_address, total_price in c.fetchall():
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# fetch items for this order
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c.execute(
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"SELECT item_name, quantity, price FROM order_items WHERE order_id = ?",
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(order_id,)
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)
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items = [
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{"name": name, "quantity": qty, "price": price}
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for name, qty, price in c.fetchall()
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]
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orders.append({
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"email_number": email_number,
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"order_date": date_str,
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"order_time": order_time,
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"restaurant_name": restaurant_name,
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"delivery_address": delivery_address,
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"items": items,
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"total_price": total_price
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})
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conn.close()
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return orders
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def save_orders_to_db(date_str: str, orders: list[dict]) -> None:
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"""
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Insert scraped orders and their items for a given date into the database.
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"""
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conn = get_db_connection()
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c = conn.cursor()
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for order in orders:
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c.execute(
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"""
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INSERT INTO orders
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(email_number, order_date, order_time, restaurant_name, delivery_address, total_price)
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VALUES (?, ?, ?, ?, ?, ?)
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""",
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(
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order["email_number"],
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date_str,
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order["order_time"],
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order["restaurant_name"],
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order["delivery_address"],
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order["total_price"]
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)
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)
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order_id = c.lastrowid
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for item in order.get("items", []):
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c.execute(
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"""
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INSERT INTO order_items
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(order_id, item_name, quantity, price)
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VALUES (?, ?, ?, ?)
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""",
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(
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order_id,
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item["name"],
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item["quantity"],
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item["price"]
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)
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)
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conn.commit()
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conn.close()
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mcp/server/eval.txt
ADDED
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EVALUATIONS
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able to differentiate between swiggy based queries or not
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able to break prompts into 2 instruction. First instruction will be extracting dates.
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second instructions will be analysing the data scrapped.
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able to extract dates
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able to extract the analysis:
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-How much non-veg did I order last week / between date X and date Y?
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-Counts and/or total rupees spent on non-veg dishes.
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-What was my total expense between date X and date Y?
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-What is my average daily spend on Swiggy (overall or for a given period)?
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-Which restaurant got the most orders (or the most money) in that period?
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-What single order cost me the most during that window?
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-Show a day-by-day spend chart between date X and date Y.
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-List every item I’ve ordered only once—my “one-hit wonders.”
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-How many unique cuisines did I try in the last month?
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-Compare veg vs. non-veg spend for the current calendar year.
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-When was my longest streak of days without ordering anything?
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-Identify any “late-night” orders placed after 11 p.m. this week.
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-Tell me my top three most-ordered dishes in the past six months.
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-Which new restaurant did I try most recently, and what did I order?
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-Forecast next month’s spend based on my last three-month trend.
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mcp/server/main.py
ADDED
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
| 1 |
+
# File: main.py
|
| 2 |
+
from fastapi import FastAPI
|
| 3 |
+
from contextlib import asynccontextmanager
|
| 4 |
+
from routes import router
|
| 5 |
+
from db_schema import init_db
|
| 6 |
+
|
| 7 |
+
@asynccontextmanager
|
| 8 |
+
async def lifespan(app: FastAPI):
|
| 9 |
+
print("🚀 Server is starting up...")
|
| 10 |
+
# Ensure SQLite tables exist before handling requests
|
| 11 |
+
init_db()
|
| 12 |
+
yield
|
| 13 |
+
print("🧹 Server is shutting down... Cleaned up!")
|
| 14 |
+
|
| 15 |
+
app = FastAPI(
|
| 16 |
+
title="Swiggy Email API",
|
| 17 |
+
description="Extract Swiggy orders from Gmail",
|
| 18 |
+
version="1.0.0",
|
| 19 |
+
lifespan=lifespan
|
| 20 |
+
)
|
| 21 |
+
|
| 22 |
+
app.include_router(router)
|
| 23 |
+
|
| 24 |
+
# Run with: uvicorn main:app --reload
|
mcp/server/routes.py
ADDED
|
@@ -0,0 +1,167 @@
|
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|
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|
|
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|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from fastapi import APIRouter, HTTPException
|
| 2 |
+
from pydantic import BaseModel
|
| 3 |
+
from swiggy_scraper import fetch_swiggy_orders
|
| 4 |
+
from datetime import datetime
|
| 5 |
+
from openai import OpenAI
|
| 6 |
+
import os, json
|
| 7 |
+
|
| 8 |
+
router = APIRouter()
|
| 9 |
+
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
|
| 10 |
+
|
| 11 |
+
class QueryInput(BaseModel):
|
| 12 |
+
query: str
|
| 13 |
+
|
| 14 |
+
class DateRange(BaseModel):
|
| 15 |
+
start_date: str
|
| 16 |
+
end_date: str
|
| 17 |
+
|
| 18 |
+
# @router.post("/parse_query")
|
| 19 |
+
# def parse_query_llm(input: QueryInput):
|
| 20 |
+
|
| 21 |
+
# print("\ninput query:")
|
| 22 |
+
# print(input)
|
| 23 |
+
|
| 24 |
+
# today_str = datetime.today().strftime("%d-%b-%Y")
|
| 25 |
+
# system = (
|
| 26 |
+
# f"You are a date range extractor.\n"
|
| 27 |
+
# f"Today is {today_str}.\n"
|
| 28 |
+
# "Extract start_date and end_date in 'DD-MMM-YYYY' format.\n"
|
| 29 |
+
# "Respond with:\n"
|
| 30 |
+
# "Output ONLY a valid JSON object like:\n"
|
| 31 |
+
# '{ "start_date": "17-May-2025", "end_date": "18-May-2025" }\n'
|
| 32 |
+
# 'no extra commentry needed.'
|
| 33 |
+
# )
|
| 34 |
+
# try:
|
| 35 |
+
# rsp = client.chat.completions.create(
|
| 36 |
+
# model="gpt-4o-mini",
|
| 37 |
+
# temperature=0,
|
| 38 |
+
# messages=[
|
| 39 |
+
# {"role": "system", "content": system},
|
| 40 |
+
# {"role": "user", "content": input.query},
|
| 41 |
+
# ]
|
| 42 |
+
# )
|
| 43 |
+
# result = json.loads(rsp.choices[0].message.content.strip())
|
| 44 |
+
# if "start_date" not in result or "end_date" not in result:
|
| 45 |
+
# raise ValueError("Invalid response format")
|
| 46 |
+
# print("results:", result)
|
| 47 |
+
# return result
|
| 48 |
+
# except Exception as e:
|
| 49 |
+
# raise HTTPException(status_code=400, detail=str(e))
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
def _llm(messages, model="gpt-4o-mini", temperature=0):
|
| 58 |
+
rsp = client.chat.completions.create(
|
| 59 |
+
model=model,
|
| 60 |
+
temperature=temperature,
|
| 61 |
+
messages=messages,
|
| 62 |
+
)
|
| 63 |
+
return rsp.choices[0].message.content.strip()
|
| 64 |
+
|
| 65 |
+
# ---------- Stage 1: classify + extract dates --------------------------
|
| 66 |
+
|
| 67 |
+
def _extract_scope(user_query: str):
|
| 68 |
+
today_str = datetime.today().strftime("%d-%b-%Y")
|
| 69 |
+
|
| 70 |
+
sys_prompt = f"""
|
| 71 |
+
Today is {today_str}.
|
| 72 |
+
You are a SCOPING assistant: decide if the user's text is about Swiggy food orders,
|
| 73 |
+
extract ONE date range, and keep the leftover words.
|
| 74 |
+
|
| 75 |
+
Return ONLY valid JSON like:
|
| 76 |
+
{{
|
| 77 |
+
"is_swiggy_query": true,
|
| 78 |
+
"start_date": "15-May-2025",
|
| 79 |
+
"end_date": "20-May-2025",
|
| 80 |
+
"remainder": "non veg expense"
|
| 81 |
+
}}
|
| 82 |
+
|
| 83 |
+
Rules:
|
| 84 |
+
• Accept natural phrases (“last week”, “since 1 May”).
|
| 85 |
+
• If no dates → start_date & end_date = null.
|
| 86 |
+
• If not Swiggy related → is_swiggy_query=false and remainder is full original text.
|
| 87 |
+
• Do NOT invent a remainder; it is literally whatever words follow the date phrase(s).
|
| 88 |
+
"""
|
| 89 |
+
raw = _llm(
|
| 90 |
+
[
|
| 91 |
+
{"role": "system", "content": sys_prompt},
|
| 92 |
+
{"role": "user", "content": user_query}
|
| 93 |
+
]
|
| 94 |
+
)
|
| 95 |
+
return json.loads(raw)
|
| 96 |
+
|
| 97 |
+
# ---------- Stage 2: shrink “remainder” into an intent -----------------
|
| 98 |
+
|
| 99 |
+
def _extract_intent(remainder: str):
|
| 100 |
+
sys_prompt = """
|
| 101 |
+
You are an INTENT classifier for Swiggy-order analytics.
|
| 102 |
+
Map the sentence into one concise snake_case intent.
|
| 103 |
+
Allowed intents (extendable):
|
| 104 |
+
|
| 105 |
+
• calculate_expense
|
| 106 |
+
• list_orders
|
| 107 |
+
• list_items
|
| 108 |
+
• list_nonveg_items
|
| 109 |
+
• list_veg_items
|
| 110 |
+
• count_orders
|
| 111 |
+
• unknown
|
| 112 |
+
|
| 113 |
+
Return JSON: { "intent": "calculate_expense" }
|
| 114 |
+
If unsure choose "unknown".
|
| 115 |
+
"""
|
| 116 |
+
raw = _llm(
|
| 117 |
+
[
|
| 118 |
+
{"role": "system", "content": sys_prompt},
|
| 119 |
+
{"role": "user", "content": remainder.strip()}
|
| 120 |
+
]
|
| 121 |
+
)
|
| 122 |
+
return json.loads(raw)["intent"]
|
| 123 |
+
|
| 124 |
+
# ---------- FastAPI route ----------------------------------------------
|
| 125 |
+
|
| 126 |
+
@router.post("/parse_query")
|
| 127 |
+
def parse_query_llm(input: QueryInput):
|
| 128 |
+
try:
|
| 129 |
+
scope = _extract_scope(input.query)
|
| 130 |
+
print("scope")
|
| 131 |
+
print(scope)
|
| 132 |
+
# If it is a Swiggy query, classify intent; else, intent = "unrelated"
|
| 133 |
+
if scope.get("is_swiggy_query", False):
|
| 134 |
+
intent = _extract_intent(scope.get("remainder", ""))
|
| 135 |
+
else:
|
| 136 |
+
intent = "unrelated"
|
| 137 |
+
|
| 138 |
+
result = {
|
| 139 |
+
"is_swiggy_query": scope["is_swiggy_query"],
|
| 140 |
+
"start_date": scope["start_date"],
|
| 141 |
+
"end_date": scope["end_date"],
|
| 142 |
+
"intent": intent
|
| 143 |
+
}
|
| 144 |
+
|
| 145 |
+
|
| 146 |
+
print("result")
|
| 147 |
+
print(result)
|
| 148 |
+
|
| 149 |
+
return result
|
| 150 |
+
|
| 151 |
+
except Exception as e:
|
| 152 |
+
raise HTTPException(status_code=400, detail=str(e))
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
|
| 158 |
+
|
| 159 |
+
|
| 160 |
+
|
| 161 |
+
@router.post("/get_orders")
|
| 162 |
+
def get_orders(range: DateRange):
|
| 163 |
+
try:
|
| 164 |
+
orders = fetch_swiggy_orders(range.start_date, range.end_date)
|
| 165 |
+
return orders
|
| 166 |
+
except Exception as e:
|
| 167 |
+
raise HTTPException(status_code=500, detail=str(e))
|
mcp/server/swiggy_cache.json
ADDED
|
@@ -0,0 +1,1379 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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| 1 |
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| 2 |
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| 3 |
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{
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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|
| 93 |
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| 94 |
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|
| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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|
| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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|
| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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|
| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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|
| 145 |
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|
| 146 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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|
| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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|
| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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|
| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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|
| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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|
| 201 |
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{
|
| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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{
|
| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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{
|
| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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{
|
| 227 |
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| 228 |
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| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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| 240 |
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|
| 241 |
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{
|
| 242 |
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| 243 |
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| 244 |
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| 245 |
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| 246 |
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| 247 |
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| 248 |
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| 249 |
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| 250 |
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| 251 |
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| 252 |
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| 253 |
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| 254 |
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| 255 |
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| 256 |
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| 257 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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| 269 |
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| 270 |
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| 271 |
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| 272 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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| 278 |
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| 279 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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| 285 |
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| 286 |
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| 287 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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|
| 293 |
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|
| 294 |
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| 295 |
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|
| 296 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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| 302 |
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| 303 |
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| 304 |
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| 306 |
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| 307 |
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| 309 |
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| 310 |
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| 311 |
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| 312 |
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| 313 |
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|
| 314 |
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| 315 |
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| 316 |
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| 317 |
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| 318 |
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| 319 |
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| 320 |
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| 321 |
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| 322 |
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| 323 |
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| 324 |
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| 325 |
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| 326 |
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| 327 |
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| 328 |
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| 329 |
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| 330 |
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| 331 |
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| 332 |
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| 335 |
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|
| 1141 |
+
"order_date": "16-May-2025",
|
| 1142 |
+
"order_time": "15:43:43",
|
| 1143 |
+
"restaurant_name": "Glen's Bakehouse",
|
| 1144 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1145 |
+
"items": [
|
| 1146 |
+
{
|
| 1147 |
+
"name": "Mushroom Puff",
|
| 1148 |
+
"quantity": 1,
|
| 1149 |
+
"price": 62.86
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"name": "Chicken Puff",
|
| 1153 |
+
"quantity": 1,
|
| 1154 |
+
"price": 84.23
|
| 1155 |
+
}
|
| 1156 |
+
],
|
| 1157 |
+
"total_price": 235
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"email_number": 2,
|
| 1161 |
+
"order_date": "16-May-2025",
|
| 1162 |
+
"order_time": "15:48:57",
|
| 1163 |
+
"restaurant_name": "The Himalayan Momo Company",
|
| 1164 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1165 |
+
"items": [
|
| 1166 |
+
{
|
| 1167 |
+
"name": "Woked Maggi",
|
| 1168 |
+
"quantity": 1,
|
| 1169 |
+
"price": 209
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"name": "Himalayan Steamed Chicken Momos",
|
| 1173 |
+
"quantity": 2,
|
| 1174 |
+
"price": 318
|
| 1175 |
+
}
|
| 1176 |
+
],
|
| 1177 |
+
"total_price": 547
|
| 1178 |
+
}
|
| 1179 |
+
],
|
| 1180 |
+
"2025-05-18": [
|
| 1181 |
+
{
|
| 1182 |
+
"email_number": 1,
|
| 1183 |
+
"order_date": "18-May-2025",
|
| 1184 |
+
"order_time": "12:57:21",
|
| 1185 |
+
"restaurant_name": "Starbucks Coffee",
|
| 1186 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1187 |
+
"items": [
|
| 1188 |
+
{
|
| 1189 |
+
"name": "Caffe Americano",
|
| 1190 |
+
"quantity": 1,
|
| 1191 |
+
"price": 315
|
| 1192 |
+
}
|
| 1193 |
+
],
|
| 1194 |
+
"total_price": 363
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"email_number": 2,
|
| 1198 |
+
"order_date": "18-May-2025",
|
| 1199 |
+
"order_time": "13:02:51",
|
| 1200 |
+
"restaurant_name": "Maiz Mexican Kitchen",
|
| 1201 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1202 |
+
"items": [
|
| 1203 |
+
{
|
| 1204 |
+
"name": "Chips With Guacamole",
|
| 1205 |
+
"quantity": 1,
|
| 1206 |
+
"price": 249
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"name": "Fresh Tomato Salsa (50ml)",
|
| 1210 |
+
"quantity": 1,
|
| 1211 |
+
"price": 69
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"name": "Chipotle Chicken Burrito",
|
| 1215 |
+
"quantity": 1,
|
| 1216 |
+
"price": 299
|
| 1217 |
+
}
|
| 1218 |
+
],
|
| 1219 |
+
"total_price": 491
|
| 1220 |
+
}
|
| 1221 |
+
],
|
| 1222 |
+
"2025-05-20": [
|
| 1223 |
+
{
|
| 1224 |
+
"email_number": 1,
|
| 1225 |
+
"order_date": "20-May-2025",
|
| 1226 |
+
"order_time": "11:24:05",
|
| 1227 |
+
"restaurant_name": "IDC Kitchen",
|
| 1228 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1229 |
+
"items": [
|
| 1230 |
+
{
|
| 1231 |
+
"name": "Vada (1 Pc)",
|
| 1232 |
+
"quantity": 1,
|
| 1233 |
+
"price": 58
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"name": "Masala Dosa",
|
| 1237 |
+
"quantity": 1,
|
| 1238 |
+
"price": 140
|
| 1239 |
+
}
|
| 1240 |
+
],
|
| 1241 |
+
"total_price": 167
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"email_number": 2,
|
| 1245 |
+
"order_date": "20-May-2025",
|
| 1246 |
+
"order_time": "16:15:50",
|
| 1247 |
+
"restaurant_name": "Irani Std. Tea",
|
| 1248 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1249 |
+
"items": [
|
| 1250 |
+
{
|
| 1251 |
+
"name": "Bun Omelette",
|
| 1252 |
+
"quantity": 1,
|
| 1253 |
+
"price": 139
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"name": "Osmania Biscuits 100 Grams",
|
| 1257 |
+
"quantity": 1,
|
| 1258 |
+
"price": 100
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"name": "Plain Maggie",
|
| 1262 |
+
"quantity": 1,
|
| 1263 |
+
"price": 119
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"name": "Bun Maska",
|
| 1267 |
+
"quantity": 1,
|
| 1268 |
+
"price": 79
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"name": "Irani Ginger Chai",
|
| 1272 |
+
"quantity": 1,
|
| 1273 |
+
"price": 219
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"name": "Aloo Samosa",
|
| 1277 |
+
"quantity": 1,
|
| 1278 |
+
"price": 49
|
| 1279 |
+
}
|
| 1280 |
+
],
|
| 1281 |
+
"total_price": 627
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"email_number": 3,
|
| 1285 |
+
"order_date": "20-May-2025",
|
| 1286 |
+
"order_time": "20:13:33",
|
| 1287 |
+
"restaurant_name": "Gayatri Sandwich(Mithibai College)",
|
| 1288 |
+
"delivery_address": "Shobhit, ground floor, Vile Parle East, Vile Parle, Mumbai, Maharashtra, India. (T1)",
|
| 1289 |
+
"items": [
|
| 1290 |
+
{
|
| 1291 |
+
"name": "Sada Sandwich",
|
| 1292 |
+
"quantity": 1,
|
| 1293 |
+
"price": 50
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"name": "Vada Pav",
|
| 1297 |
+
"quantity": 1,
|
| 1298 |
+
"price": 25
|
| 1299 |
+
}
|
| 1300 |
+
],
|
| 1301 |
+
"total_price": 178
|
| 1302 |
+
}
|
| 1303 |
+
],
|
| 1304 |
+
"2025-05-21": [
|
| 1305 |
+
{
|
| 1306 |
+
"email_number": 1,
|
| 1307 |
+
"order_date": "21-May-2025",
|
| 1308 |
+
"order_time": "12:56:56",
|
| 1309 |
+
"restaurant_name": "Starbucks Coffee",
|
| 1310 |
+
"delivery_address": "Shobhit\n2C, Orchard Green Apartment\n2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1311 |
+
"items": [
|
| 1312 |
+
{
|
| 1313 |
+
"name": "Cold Brew Black (Cold Brew)",
|
| 1314 |
+
"quantity": 1,
|
| 1315 |
+
"price": 390
|
| 1316 |
+
}
|
| 1317 |
+
],
|
| 1318 |
+
"total_price": 401
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"email_number": 2,
|
| 1322 |
+
"order_date": "21-May-2025",
|
| 1323 |
+
"order_time": "12:58:49",
|
| 1324 |
+
"restaurant_name": "Starbucks Coffee",
|
| 1325 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1326 |
+
"items": [
|
| 1327 |
+
{
|
| 1328 |
+
"name": "Caffe Americano",
|
| 1329 |
+
"quantity": 1,
|
| 1330 |
+
"price": 315
|
| 1331 |
+
}
|
| 1332 |
+
],
|
| 1333 |
+
"total_price": 363
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"email_number": 3,
|
| 1337 |
+
"order_date": "21-May-2025",
|
| 1338 |
+
"order_time": "22:07:56",
|
| 1339 |
+
"restaurant_name": "Magnolia Bakery",
|
| 1340 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1341 |
+
"items": [
|
| 1342 |
+
{
|
| 1343 |
+
"name": "Chocolate Cake with Chocolate Buttercream Cake Slice",
|
| 1344 |
+
"quantity": 1,
|
| 1345 |
+
"price": 260
|
| 1346 |
+
},
|
| 1347 |
+
{
|
| 1348 |
+
"name": "CLASSIC TRES LECHES",
|
| 1349 |
+
"quantity": 1,
|
| 1350 |
+
"price": 410
|
| 1351 |
+
}
|
| 1352 |
+
],
|
| 1353 |
+
"total_price": 850
|
| 1354 |
+
}
|
| 1355 |
+
],
|
| 1356 |
+
"2025-05-22": [
|
| 1357 |
+
{
|
| 1358 |
+
"email_number": 1,
|
| 1359 |
+
"order_date": "22-May-2025",
|
| 1360 |
+
"order_time": "12:00:34",
|
| 1361 |
+
"restaurant_name": "Yogisthaan",
|
| 1362 |
+
"delivery_address": "2C, Orchard Green Apartment, 2nd Main Rd, Domlur, Bangalore, Karnataka 560071, India. (Orchard Green)",
|
| 1363 |
+
"items": [
|
| 1364 |
+
{
|
| 1365 |
+
"name": "Poha (quick Of Breakfast)",
|
| 1366 |
+
"quantity": 1,
|
| 1367 |
+
"price": 288
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"name": "Tapioca (sabu Dana) Khichadi",
|
| 1371 |
+
"quantity": 1,
|
| 1372 |
+
"price": 252
|
| 1373 |
+
}
|
| 1374 |
+
],
|
| 1375 |
+
"total_price": 547
|
| 1376 |
+
}
|
| 1377 |
+
],
|
| 1378 |
+
"2025-05-23": []
|
| 1379 |
+
}
|
mcp/server/swiggy_scraper.py
ADDED
|
@@ -0,0 +1,179 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
Reusable helper to fetch Swiggy order e-mails and return a list[dict].
|
| 3 |
+
|
| 4 |
+
Usage:
|
| 5 |
+
from swiggy_scraper import fetch_swiggy_orders
|
| 6 |
+
orders = fetch_swiggy_orders("17-May-2025", "20-May-2025")
|
| 7 |
+
"""
|
| 8 |
+
|
| 9 |
+
import os, imaplib, json
|
| 10 |
+
from email import message_from_bytes
|
| 11 |
+
from bs4 import BeautifulSoup
|
| 12 |
+
from openai import OpenAI
|
| 13 |
+
from dotenv import load_dotenv
|
| 14 |
+
from datetime import datetime, timedelta
|
| 15 |
+
from email.utils import parsedate_to_datetime
|
| 16 |
+
from zoneinfo import ZoneInfo
|
| 17 |
+
|
| 18 |
+
from db_schema import init_db, get_orders_by_date_from_db, save_orders_to_db
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
load_dotenv()
|
| 22 |
+
|
| 23 |
+
APP_PASSWORD = os.getenv("APP_PASSWORD")
|
| 24 |
+
EMAIL_ID = os.getenv("EMAIL_ID")
|
| 25 |
+
OPENAI_KEY = os.getenv("OPENAI_API_KEY")
|
| 26 |
+
|
| 27 |
+
client = OpenAI(api_key=OPENAI_KEY)
|
| 28 |
+
|
| 29 |
+
def _imap_connect():
|
| 30 |
+
m = imaplib.IMAP4_SSL("imap.gmail.com")
|
| 31 |
+
m.login(EMAIL_ID, APP_PASSWORD)
|
| 32 |
+
m.select('"[Gmail]/All Mail"')
|
| 33 |
+
return m
|
| 34 |
+
|
| 35 |
+
def _email_to_clean_text(msg):
|
| 36 |
+
html = next(
|
| 37 |
+
(part.get_payload(decode=True).decode(errors="ignore")
|
| 38 |
+
for part in msg.walk()
|
| 39 |
+
if part.get_content_type() == "text/html"),
|
| 40 |
+
None,
|
| 41 |
+
)
|
| 42 |
+
if not html:
|
| 43 |
+
return ""
|
| 44 |
+
soup = BeautifulSoup(html, "html.parser")
|
| 45 |
+
for t in soup(["script", "style", "head", "meta", "link"]):
|
| 46 |
+
t.decompose()
|
| 47 |
+
return "\n".join(
|
| 48 |
+
line.strip() for line in soup.get_text("\n").splitlines() if line.strip()
|
| 49 |
+
)
|
| 50 |
+
|
| 51 |
+
def _get_all_dates(start_date: str, end_date: str):
|
| 52 |
+
start = datetime.strptime(start_date, "%d-%b-%Y")
|
| 53 |
+
end = datetime.strptime(end_date, "%d-%b-%Y")
|
| 54 |
+
delta = (end - start).days + 1
|
| 55 |
+
return [(start + timedelta(days=i)).strftime("%Y-%m-%d") for i in range(delta)]
|
| 56 |
+
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
def _extract_with_llm(email_number, subject, body, email_date, email_time):
|
| 61 |
+
current_email = {
|
| 62 |
+
"subject": subject,
|
| 63 |
+
"body": body
|
| 64 |
+
}
|
| 65 |
+
|
| 66 |
+
prompt = f"""
|
| 67 |
+
You are given a Swiggy order confirmation email with a subject and body.
|
| 68 |
+
|
| 69 |
+
Extract and return only the following:
|
| 70 |
+
- "restaurant_name": name of the restaurant
|
| 71 |
+
- "delivery_address": the delivery address
|
| 72 |
+
- "items": a list of ordered items, each with "name", "quantity", and "price" (number)
|
| 73 |
+
- "total_price": the total bill paid including taxes, charges, etc.
|
| 74 |
+
|
| 75 |
+
Example output format:
|
| 76 |
+
{{
|
| 77 |
+
"restaurant_name": "Dominos Pizza",
|
| 78 |
+
"delivery_address": "123 Main St, City",
|
| 79 |
+
"total_price": 567,
|
| 80 |
+
"items": [
|
| 81 |
+
{{ "name": "Veg Pizza", "quantity": 2, "price": 199 }},
|
| 82 |
+
{{ "name": "Coke", "quantity": 1, "price": 45 }}
|
| 83 |
+
]
|
| 84 |
+
}}
|
| 85 |
+
|
| 86 |
+
Return only valid JSON. No extra text or comments.
|
| 87 |
+
|
| 88 |
+
{json.dumps(current_email, indent=2)}
|
| 89 |
+
"""
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
try:
|
| 93 |
+
rsp = client.chat.completions.create(
|
| 94 |
+
model="gpt-4o-mini",
|
| 95 |
+
temperature=0,
|
| 96 |
+
messages=[
|
| 97 |
+
{"role": "system", "content": "You are a precise JSON extractor."},
|
| 98 |
+
{"role": "user", "content": prompt},
|
| 99 |
+
],
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
# Attempt to parse the returned content
|
| 103 |
+
parsed_data = json.loads(rsp.choices[0].message.content)
|
| 104 |
+
|
| 105 |
+
# Wrap into final structure
|
| 106 |
+
final_output = {
|
| 107 |
+
"email_number": email_number,
|
| 108 |
+
"order_date": email_date,
|
| 109 |
+
"order_time": email_time,
|
| 110 |
+
"restaurant_name": parsed_data.get("restaurant_name", ""),
|
| 111 |
+
"delivery_address": parsed_data.get("delivery_address", ""),
|
| 112 |
+
"items": parsed_data.get("items", []),
|
| 113 |
+
"total_price": parsed_data.get("total_price", 0)
|
| 114 |
+
}
|
| 115 |
+
|
| 116 |
+
|
| 117 |
+
return final_output
|
| 118 |
+
|
| 119 |
+
except json.JSONDecodeError as json_err:
|
| 120 |
+
return {
|
| 121 |
+
"email_number": email_number,
|
| 122 |
+
"error": f"JSON decoding failed: {str(json_err)}",
|
| 123 |
+
"raw_response": rsp.choices[0].message.content if 'rsp' in locals() else None
|
| 124 |
+
}
|
| 125 |
+
|
| 126 |
+
except Exception as e:
|
| 127 |
+
return {
|
| 128 |
+
"email_number": email_number,
|
| 129 |
+
"error": f"Unexpected error: {str(e)}"
|
| 130 |
+
}
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
def fetch_swiggy_orders(start_date: str, end_date: str) -> list[dict]:
|
| 135 |
+
mail = _imap_connect()
|
| 136 |
+
all_dates = _get_all_dates(start_date, end_date)
|
| 137 |
+
orders = []
|
| 138 |
+
|
| 139 |
+
for date_str in all_dates:
|
| 140 |
+
# 1) Try loading from DB
|
| 141 |
+
day_orders = get_orders_by_date_from_db(date_str)
|
| 142 |
+
if day_orders:
|
| 143 |
+
print(f"{date_str} loaded from DB")
|
| 144 |
+
orders.extend(day_orders)
|
| 145 |
+
continue
|
| 146 |
+
|
| 147 |
+
# 2) Otherwise scrape emails for that date
|
| 148 |
+
print(f"Fetching Swiggy emails for {date_str}")
|
| 149 |
+
dt_obj = datetime.strptime(date_str, "%Y-%m-%d")
|
| 150 |
+
next_day = (dt_obj + timedelta(days=1)).strftime("%d-%b-%Y")
|
| 151 |
+
this_day = dt_obj.strftime("%d-%b-%Y")
|
| 152 |
+
|
| 153 |
+
crit = f'(FROM "noreply@swiggy.in") SINCE "{this_day}" BEFORE "{next_day}"'
|
| 154 |
+
_, data = mail.search(None, crit)
|
| 155 |
+
ids = data[0].split()
|
| 156 |
+
|
| 157 |
+
scraped_orders = []
|
| 158 |
+
for idx, eid in enumerate(ids, 1):
|
| 159 |
+
_, msg_data = mail.fetch(eid, "(RFC822)")
|
| 160 |
+
msg = message_from_bytes(msg_data[0][1])
|
| 161 |
+
subject = msg.get("Subject", "")
|
| 162 |
+
body_text = _email_to_clean_text(msg)
|
| 163 |
+
|
| 164 |
+
try:
|
| 165 |
+
dt_obj = parsedate_to_datetime(msg["Date"]).astimezone(ZoneInfo("Asia/Kolkata"))
|
| 166 |
+
email_date = dt_obj.strftime("%d-%b-%Y")
|
| 167 |
+
email_time = dt_obj.strftime("%H:%M:%S")
|
| 168 |
+
|
| 169 |
+
order = _extract_with_llm(idx, subject, body_text, email_date, email_time)
|
| 170 |
+
scraped_orders.append(order)
|
| 171 |
+
except Exception as exc:
|
| 172 |
+
scraped_orders.append({"email_number": idx, "error": str(exc)})
|
| 173 |
+
|
| 174 |
+
# 3) Save newly scraped data to DB
|
| 175 |
+
save_orders_to_db(date_str, scraped_orders)
|
| 176 |
+
orders.extend(scraped_orders)
|
| 177 |
+
|
| 178 |
+
mail.logout()
|
| 179 |
+
return orders
|