#!/usr/bin/env python3
import os, sys, json
from preaggregates import compute_preaggregates, serialize_for_ai

try:
    import mysql.connector
except Exception as e:
    sys.stderr.write("MySQL connector not available: %s\n" % e)
    sys.exit(1)

def getenv(key, default=None):
    return os.environ.get(key, default)

def main():
    cfg = {
        #"host": getenv("MYSQL_HOST", "twinpol-mysql56"),
        "host": getenv("MYSQL_HOST", "localhost"),
        "user": getenv("MYSQL_USER", "root"),
        "password": getenv("MYSQL_PASSWORD", "rootpassword"),
        "database": getenv("MYSQL_DATABASE", "preDb_0dcc87940d3655fa574b253df04ca1c3"),
        "port": int(getenv("MYSQL_PORT", "3306")),
    }

    try:
        cnx = mysql.connector.connect(**cfg)
        cur = cnx.cursor()
        #cur.execute("SELECT COUNT(*) FROM ecminvoiceouts WHERE YEAR(register_date)=2025")
        cur.execute("""
            SELECT i.document_no,
                   i.parent_name,
                   DATE(i.register_date) AS register_date,
                   ii.code,
                   ii.name,
                   ii.quantity,
                   ii.total_netto
            FROM ecminvoiceoutitems AS ii
            JOIN ecminvoiceouts      AS i ON i.id = ii.ecminvoiceout_id
            WHERE i.register_date >= %s
              AND i.register_date <  %s
              AND i.type = %s
        """, ("2025-07-01", "2025-08-01", "normal"))
        rows = cur.fetchall()

        results = compute_preaggregates(rows)

        # 2) podejrzyj wyniki
        #  ['daily_sales', 'product_summary', 'customer_summary', 'product_daily',
        #   'top10_products_by_sales', 'top10_customers_by_sales']
        print(">> available tables:", list(results.keys()))
#         print(results["daily_sales"].head(10))
#         print(results["product_summary"])
#         print(results["customer_summary"])
#         print(results["product_daily"])
#         print(results["top10_products_by_sales"])
#         print(results["top10_customers_by_sales"])
        results["daily_sales"].head(10)
        results["product_summary"]
        results["customer_summary"]
        results["product_daily"]
        results["top10_products_by_sales"]
        results["top10_customers_by_sales"]

        # 3) zserializuj do lekkiego JSON-a (np. do AI lub do pliku)
        ai_payload = serialize_for_ai(results)
        print(json.dumps(ai_payload, ensure_ascii=False, indent=2, default=str))

        cur.close()
        cnx.close()
    except Exception as e:
        sys.stderr.write("Query error: %s\n" % e)
        sys.exit(1)

if __name__ == "__main__":
    main()