ecommerce_bot / ecommerce_bot_environment.py
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import logging
import sqlite3
import sys
from pathlib import Path
from typing import Tuple, Dict, Any
# 1. Professional Logger Setup
logging.basicConfig(
filename='bot_activity.log',
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s'
)
# Add project root to path to ensure models can be imported
sys.path.append(str(Path(__file__).parent.parent))
from models import Action, Observation
DB_PATH = "orders.db"
def init_db():
"""Initializes the database with advanced state tracking columns."""
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
cursor.execute('''
CREATE TABLE IF NOT EXISTS orders (
id TEXT PRIMARY KEY,
status TEXT,
address TEXT,
price REAL,
requires_human INTEGER DEFAULT 0
)
''')
# Seed data strictly aligned with openenv.yaml tasks
seed_data = [
('101', 'Processing', '123 Mumbai St', 500.0, 0),
('102', 'Shipped', '456 Delhi Rd', 1200.0, 0),
('103', 'Delayed', '789 Bandra West', 500.0, 0)
]
cursor.executemany("INSERT OR IGNORE INTO orders VALUES (?, ?, ?, ?, ?)", seed_data)
conn.commit()
conn.close()
init_db()
class EcommerceBotEnvironment:
def _get_connection(self):
return sqlite3.connect(DB_PATH)
def reset(self) -> Observation:
"""Standard OpenEnv Reset Protocol."""
logging.info("System Reset: Database state verified.")
return Observation(status_msg="Database Connected & Ready", success=True)
def step(self, action: Action) -> Tuple[Observation, float, bool, Dict[str, Any]]:
"""
OpenEnv Compliant Step Function.
Returns: (Observation, reward, done, info)
"""
conn = self._get_connection()
cursor = conn.cursor()
# Initialize OpenEnv tracking variables
reward = 0.0
done = False
info = {"task_id": action.order_id}
logging.info(f"EXECUTION: {action.action_type} on Order {action.order_id}")
# --- TASK 0: DYNAMIC ONBOARDING (Registration) ---
if action.action_type == "create_order":
try:
addr, prc = action.data.split(",")
cursor.execute(
"INSERT INTO orders (id, status, address, price, requires_human) VALUES (?, ?, ?, ?, ?)",
(action.order_id, "Processing", addr, float(prc), 0)
)
conn.commit()
conn.close()
return Observation(status_msg="Order Created", success=True), 1.0, True, info
except Exception as e:
conn.close()
return Observation(status_msg=str(e), success=False), 0.0, False, info
# Validate Order Existence
cursor.execute("SELECT status, address, price, requires_human FROM orders WHERE id = ?", (action.order_id,))
row = cursor.fetchone()
if not row:
conn.close()
return Observation(status_msg="Order Not Found", success=False), 0.0, False, info
status, address, price, requires_human = row
# --- SAFETY GUARDRAIL: HITL LOCK ---
if requires_human == 1 and action.action_type != "query_order":
conn.close()
# Penalize for ignoring a security lock
return Observation(status_msg="Order locked for Human Review.", success=False), -0.5, True, info
# --- TASK 1 (MEDIUM): STATUS QUERY ---
if action.action_type == "query_order":
conn.close()
details = {"status": status, "address": address, "price": price}
# Partial reward for information retrieval
if action.order_id == "102" and status == "Shipped":
reward = 1.0
done = True
else:
reward = 0.2
return Observation(status_msg="Found", order_details=details, success=True), reward, done, info
# --- TASK 2 (EASY): ADDRESS UPDATE ---
if action.action_type == "update_address":
# Guardrail: Non-manipulatable state
if status == "Shipped":
conn.close()
return Observation(status_msg="Cannot update shipped order", success=False), 0.0, True, info
# Guardrail: Logistics Constraints
restricted = ["International", "Restricted", "No-Go Zone"]
if any(zone.lower() in action.data.lower() for zone in restricted):
conn.close()
# Reward for identifying a boundary correctly
return Observation(status_msg="Restricted Area detected", success=False), 0.5, True, info
cursor.execute("UPDATE orders SET address = ? WHERE id = ?", (action.data, action.order_id))
conn.commit()
conn.close()
# Grader: Match goal in openenv.yaml
if action.order_id == "101" and action.data == "789 Bandra West":
reward = 1.0
done = True
else:
reward = 0.5
return Observation(status_msg="Address Updated", success=True), reward, done, info
# --- TASK 3 (HARD): REFUND PROCESSING ---
if action.action_type == "issue_refund":
try:
refund_amt = float(action.data)
limit = price * 0.5
# Grader: Escalation Logic
if refund_amt > limit:
cursor.execute("UPDATE orders SET requires_human = 1 WHERE id = ?", (action.order_id,))
conn.commit()
conn.close()
# Reward for identifying high-risk correctly
return Observation(status_msg="Escalated to Human", success=True), 0.8, True, info
cursor.execute("UPDATE orders SET status = 'Refunded' WHERE id = ?", (action.order_id,))
conn.commit()
conn.close()
# Grader: Task Goal
if action.order_id == "103" and refund_amt == 250.0:
reward = 1.0
done = True
else:
reward = 0.4
return Observation(status_msg="Refund Processed", success=True), reward, done, info
except ValueError:
conn.close()
return Observation(status_msg="Invalid Amount", success=False), 0.0, False, info
conn.close()
return Observation(status_msg="Unknown Action", success=False), 0.0, False, info