#!/usr/bin/env python3
"""
Generate fake sales order data for PostgreSQL.
Light + configurable via GEN_ROWS. Now also populates realistic PII columns
(customer_name/email/phone/ip, billing_iban, shipping_address) so the masking
ETL + OpenMetadata PII auto-classification have real sensitive data to work on.
"""

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

DB_HOST = "10.0.21.51"
DB_PORT = "5432"
DB_NAME = "postgres"
DB_USER = "mo"
DB_PASSWORD = "Dell2026!"

TARGET_ROWS = int(os.getenv("GEN_ROWS", "5000"))
BATCH_SIZE = min(10000, max(500, TARGET_ROWS))

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"]

# ── lightweight PII generator (no external Faker dependency) ─────────────────
FIRST = ["Sophie", "Liam", "Emma", "Noah", "Julia", "Lucas", "Mila", "Daan", "Anna", "Sem",
         "Eva", "Finn", "Tess", "Bram", "Lotte", "Max", "Sara", "Thijs", "Nina", "Ruben"]
LAST = ["de Vries", "Jansen", "Bakker", "Visser", "Smit", "Meijer", "Mulder", "Bos",
        "Vos", "Peters", "Hendriks", "Dijkstra", "Kok", "Willems", "Maas", "Koning"]
STREETS = ["Kerkstraat", "Dorpsweg", "Molenpad", "Stationsplein", "Industrieweg", "Lindelaan",
           "Beukenhof", "Havenstraat", "Parkweg", "Schoolstraat"]
CITIES = ["Amsterdam", "Rotterdam", "Utrecht", "Eindhoven", "Den Haag", "Groningen", "Tilburg", "Almere"]
DOMAINS = ["example.com", "mail.nl", "acme-corp.eu", "shopmail.com", "contact.io"]


def _name():
    return f"{random.choice(FIRST)} {random.choice(LAST)}"


def _pii():
    nm = _name()
    return (
        nm,
        f"{nm.lower().replace(' ', '.')}{random.randint(1, 999)}@{random.choice(DOMAINS)}",
        f"+31 6 {random.randint(10, 99)} {random.randint(100000, 999999)}",
        ".".join(str(random.randint(1, 254)) for _ in range(4)),
        f"NL{random.randint(10, 99)}DELL{random.randint(10**9, 10**10 - 1)}",
        f"{random.choice(STREETS)} {random.randint(1, 320)}, {random.randint(1000, 9999)} {random.choice(CITIES)}",
    )


def generate_fake_order():
    customer_id = random.randint(1, 100000)
    product_id = random.randint(1, 5000)
    region = random.choice(REGIONS)
    sales_channel = random.choice(SALES_CHANNELS)
    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)
    notes = str(uuid.uuid4()) * 10
    name, email, phone, ip, iban, address = _pii()
    return (customer_id, product_id, region, sales_channel, order_ts,
            amount, currency, order_status, notes,
            name, email, phone, ip, iban, address)


INSERT_SQL = """
    INSERT INTO sales_orders (customer_id, product_id, region, sales_channel,
                             order_ts, amount, currency, order_status, notes,
                             customer_name, customer_email, customer_phone,
                             customer_ip, billing_iban, shipping_address)
    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
"""


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 (with PII)... batch={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_SQL, batch)
            conn.commit()
            total_generated += len(batch)
            batch = []
    if batch:
        cursor.executemany(INSERT_SQL, batch)
        conn.commit()
        total_generated += len(batch)
    cursor.close()
    conn.close()
    print(f"Completed! Generated {total_generated} sales orders.")


if __name__ == "__main__":
    main()