#!/usr/bin/env python3
"""
Superset 資料集與儀表板自動設定腳本
MOMO Pro System - UAT 環境

使用方式:
    docker exec momo-superset python /app/setup_datasets.py
"""

import sys
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# 要建立的資料集
DATASETS = [
    {
        "table_name": "daily_sales_snapshot",
        "description": "每日銷售快照 - 用於當日業績分析",
        "main_dttm_col": "snapshot_date",
    },
    {
        "table_name": "realtime_sales_monthly",
        "description": "即時業績月度資料 - 用於銷售分析和成長分析",
        "main_dttm_col": None,
    },
    {
        "table_name": "monthly_summary_analysis",
        "description": "月度總結分析 - 用於月度報表",
        "main_dttm_col": "report_month",
    },
    {
        "table_name": "products",
        "description": "商品資料 - 用於商品看板和 ABC 分析",
        "main_dttm_col": "updated_at",
    },
    {
        "table_name": "price_records",
        "description": "價格記錄 - 用於價格趨勢分析",
        "main_dttm_col": "timestamp",
    },
]


def setup_datasets():
    """建立所有資料集"""
    # 在函數內部導入，確保 app context 正確
    from superset.app import create_app
    app = create_app()

    with app.app_context():
        from superset.extensions import db
        from superset.connectors.sqla.models import SqlaTable
        from superset.models.core import Database

        # 找到 MOMO_UAT 資料庫
        database = db.session.query(Database).filter_by(database_name="MOMO_UAT").first()

        if not database:
            logger.error("找不到 MOMO_UAT 資料庫，請先新增資料庫連線")
            sys.exit(1)

        logger.info(f"找到資料庫: {database.database_name} (ID: {database.id})")

        created_count = 0
        for ds_config in DATASETS:
            table_name = ds_config["table_name"]

            # 檢查是否已存在
            existing = db.session.query(SqlaTable).filter_by(
                table_name=table_name,
                database_id=database.id
            ).first()

            if existing:
                logger.info(f"資料集已存在: {table_name}")
                continue

            # 建立新資料集
            dataset = SqlaTable(
                table_name=table_name,
                database_id=database.id,
                schema="public",
                description=ds_config.get("description", ""),
            )

            # 設定時間欄位
            if ds_config.get("main_dttm_col"):
                dataset.main_dttm_col = ds_config["main_dttm_col"]

            db.session.add(dataset)
            logger.info(f"建立資料集: {table_name}")
            created_count += 1

        db.session.commit()
        logger.info(f"完成! 建立了 {created_count} 個資料集")

        # 同步資料集欄位
        logger.info("同步資料集欄位...")
        for ds_config in DATASETS:
            table_name = ds_config["table_name"]
            dataset = db.session.query(SqlaTable).filter_by(
                table_name=table_name,
                database_id=database.id
            ).first()

            if dataset:
                try:
                    dataset.fetch_metadata()
                    logger.info(f"已同步欄位: {table_name}")
                except Exception as e:
                    logger.warning(f"同步欄位失敗 {table_name}: {e}")

        db.session.commit()
        logger.info("資料集設定完成!")


if __name__ == "__main__":
    setup_datasets()