#!/usr/bin/env python3
"""
Script to generate fake sales order data for PostgreSQL
Generates approximately 1GB of data
"""

import psycopg2
import random
from datetime import datetime, timedelta
import uuid
import sys
import os

# Database connection details
DB_HOST = "10.0.21.51"
DB_PORT = "5432"
DB_NAME = "postgres"
DB_USER = "mo"
DB_PASSWORD = "Dell2026!"

# Data generation settings
TARGET_ROWS = int(os.getenv("GEN_ROWS", "5000"))  # light, configurable via GEN_ROWS
BATCH_SIZE = min(10000, max(500, TARGET_ROWS))

# Sample data
REGIONS = ["EU", "APAC", "LATAM", "NA", "EMEA"]
SALES_CHANNELS = ["STORE", "ONLINE", "MOBILE", "B2B"]
CURRENCIES = ["EUR", "USD", "GBP", "JPY", "CNY"]
ORDER_STATUSES = ["SHIPPED", "PENDING", "CANCELLED", "RETURNED", "DELIVERED"]

def generate_fake_order():
    """Generate a single fake sales order"""
    customer_id = random.randint(1, 100000)
    product_id = random.randint(1, 5000)
    region = random.choice(REGIONS)
    sales_channel = random.choice(SALES_CHANNELS)
    
    # Random timestamp within the last 2 years
    days_ago = random.randint(0, 730)
    order_ts = datetime.now() - timedelta(days=days_ago, hours=random.randint(0, 23), 
                                          minutes=random.randint(0, 59))
    
    amount = round(random.uniform(10.0, 10000.0), 2)
    currency = random.choice(CURRENCIES)
    order_status = random.choice(ORDER_STATUSES)
    
    # Generate a long notes field (like the existing data)
    notes = str(uuid.uuid4()) * 10
    
    return (customer_id, product_id, region, sales_channel, order_ts, 
            amount, currency, order_status, notes)

def main():
    print(f"Connecting to PostgreSQL at {DB_HOST}:{DB_PORT}...")
    
    conn = psycopg2.connect(
        host=DB_HOST,
        port=DB_PORT,
        database=DB_NAME,
        user=DB_USER,
        password=DB_PASSWORD
    )
    cursor = conn.cursor()
    
    print(f"Generating {TARGET_ROWS} sales orders...")
    print(f"Batch size: {BATCH_SIZE}")
    
    total_generated = 0
    batch = []
    
    for i in range(TARGET_ROWS):
        batch.append(generate_fake_order())
        
        if len(batch) >= BATCH_SIZE:
            cursor.executemany(
                """
                INSERT INTO sales_orders (customer_id, product_id, region, sales_channel, 
                                         order_ts, amount, currency, order_status, notes)
                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
                """,
                batch
            )
            conn.commit()
            total_generated += len(batch)
            batch = []
            
            if total_generated % 100000 == 0:
                print(f"Generated {total_generated} rows...")
    
    # Insert remaining rows
    if batch:
        cursor.executemany(
            """
            INSERT INTO sales_orders (customer_id, product_id, region, sales_channel, 
                                     order_ts, amount, currency, order_status, notes)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
            """,
            batch
        )
        conn.commit()
        total_generated += len(batch)
    
    cursor.close()
    conn.close()
    
    print(f"Completed! Generated {total_generated} sales orders.")

if __name__ == "__main__":
    main()