import re
import pandas as pd
import mysql.connector


def extract_first_int(value):
    if pd.isna(value) or value == '':
        return 0
    match = re.search(r'\b\d+\b', str(value))
    return int(match.group()) if match else 0


class SalesDataImporter:
    def __init__(self, db_config, excel_file):
        self.db_config = db_config
        self.excel_file = excel_file

    @staticmethod
    def _truncate_and_insert_batch(cursor, df, insert_sql, table_name, batch_size=1000):
        print(f"🔄 清空表 {table_name} 并开始批量插入数据...")
        cursor.execute(f'TRUNCATE TABLE {table_name}')

        total_rows = len(df)
        for start in range(0, total_rows, batch_size):
            end = min(start + batch_size, total_rows)
            batch_data = [tuple(row) for _, row in df.iloc[start:end].iterrows()]
            cursor.executemany(insert_sql, batch_data)
            print(f"✅ 已插入 {end - start} 条记录到 {table_name}")

        print(f"✅ 成功插入 {total_rows} 条记录到 {table_name}")

    def import_data(self):
        conn = mysql.connector.connect(**self.db_config, autocommit=False)
        cursor = conn.cursor()

        try:
            # 导入 sd_big_sales_order
            df_big_sales = pd.read_excel(self.excel_file, sheet_name='大单报表', header=0)
            df_big_sales.columns = [
                'month_id', 'order_date', 'upload_bill_date', 'sale_id', 'city_store_name',
                'store_code', 'receivable_account', 'store_type', 'customer_names', 'total_items_sold',
                'total_amount', 'big_order_items', 'big_order_amount', 'payment_method', 'has_refund',
                'refund_meets_big_order', 'refund_order_number', 'refund_time', 'refund_items',
                'refund_amount', 'refund_remaining_award_items', 'refund_remaining_award_amount',
                'award_coupon_amount', 'is_upload_receipt', 'receipt_thumbnail_url', 'is_rebate_generated'
            ]
            df_big_sales = df_big_sales.where(pd.notnull(df_big_sales), None)
            ## 对特定整型列填充 0 并转为 int 类型
            int_columns = ['refund_items', 'refund_remaining_award_items', 'total_items_sold', 'big_order_items']
            for col in int_columns:
                if col in df_big_sales.columns:
                    df_big_sales[col] = df_big_sales[col].apply(extract_first_int).astype(int)

            insert_sql_big_sales = """
            INSERT INTO sd_big_sales_order VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
            """
            self._truncate_and_insert_batch(cursor, df_big_sales, insert_sql_big_sales, 'sd_big_sales_order')


            # 导入 sd_sales_order
            df_sales = pd.read_excel(self.excel_file, sheet_name='销售价格段明细报表', header=0)
            df_sales.columns = ['sale_id', 'total_items', 'actual_items', 'store_code', 'store_name',
                                'channel_type', 'document_date', 'amount', 'return_exchange_items',
                                'return_exchange_amount', 'payment_method', 'remaining_items_after_return',
                                'remaining_amount_after_return']
            df_sales = df_sales.where(pd.notnull(df_sales), None)
            ## 对特定整型列填充 0 并转为 int 类型
            int_columns = ['total_items', 'actual_items', 'return_exchange_items', 'remaining_items_after_return', 'return_exchange_amount']
            for col in int_columns:
                if col in df_sales.columns:
                    df_sales[col] = df_sales[col].apply(extract_first_int).astype(int)

            insert_sql_sales = """
            INSERT INTO sd_sales_order VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
            """
            self._truncate_and_insert_batch(cursor, df_sales, insert_sql_sales, 'sd_sales_order')


            # 导入 sd_store_info
            df_store = pd.read_excel(self.excel_file, sheet_name='全国客户资料', header=0)
            df_store.columns = ['channel', 'f360_code', 'province', 'store_name',
                                'customer_name', 'group_leader', 'division', 'region',
                                'open_date', 'close_date']
            df_store = df_store.where(pd.notnull(df_store), None)
            insert_sql_store = """
            INSERT INTO sd_store_info VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
            """
            self._truncate_and_insert_batch(cursor, df_store, insert_sql_store, 'sd_store_info')

            conn.commit()
            print("✅ 所有数据已成功导入数据库")
        except Exception as e:
            conn.rollback()
            print(f"❌ 数据导入失败: {e}")
            raise
        finally:
            cursor.close()
            conn.close()