707 lines
27 KiB
Python
707 lines
27 KiB
Python
"""
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日报生成核心逻辑
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"""
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import os
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import json
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from datetime import datetime, timedelta
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from openpyxl import Workbook
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from openpyxl.styles import Font, Alignment, PatternFill
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import pytz
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from lib.db import execute_query, execute_insert
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from lib.field_mapping import get_field_display_name
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# ID字段到名称的映射配置
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# key: 订单表中的ID字段名
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# value: (关联表名, 关联表ID字段, 关联表名称字段)
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ID_TO_NAME_MAPPING = {
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'user_id': ('t_user', 'id', 'user_name'),
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'company_id': ('t_company', 'id', 'company_name'),
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'station_id': ('t_station', 'id', 'station_name'),
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'equipment_id': ('t_equipment', 'id', 'equipment_name'),
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'connector_id': ('t_connector', 'id', 'connector_name'),
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}
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# 特来电表字段映射到报表字段
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# t_hlht_tld 字段 → 报表字段
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TELECOM_FIELD_MAPPING = {
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'order_id': 'order_no', # 订单号
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'station_id': 'station_id', # 场站ID
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'operator_name': 'station_name', # 运营商名称 → 场站名称
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'connector_name': 'equipment_name', # 连接器名称 → 设备名称
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'charge_start_time': 'charge_begin_time', # 开始充电时间
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'charge_end_time': 'charge_end_time', # 结束充电时间
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'total_power': 'charge_degree', # 总电量
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'start_soc': 'charge_begin_soc', # 开始SOC
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'end_soc': 'charge_end_soc', # 结束SOC
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'elec_money': 'charge_elecfee_amount', # 电费
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'service_money': 'charge_service_amount', # 服务费
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'total_money': 'total_money', # 总金额
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'sharp_power': 'sharp_electricity', # 尖时段电量
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'peak_power': 'peak_electricity', # 峰时段电量
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'flat_power': 'flat_electricity', # 平时段电量
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'valley_power': 'valley_electricity', # 谷时段电量
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'vehicle_self_no': 'company_name', # 车量自编号 → 企业名称
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}
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# 特来电数据中名称字段到ID字段的映射（用于匹配selected_fields中的ID字段）
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TELECOM_NAME_TO_ID_FIELDS = {
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'company_name': 'company_id',
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'station_name': 'station_id',
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'equipment_name': 'equipment_id',
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}
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def query_telecom_orders(vehicle_self_nos, start_time_str, end_time_str):
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"""
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查询特来电平台的订单数据
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Args:
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vehicle_self_nos: 车量自编号列表（对应企业名称）
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start_time_str: 开始时间字符串
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end_time_str: 结束时间字符串
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Returns:
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list: 转换后的订单数据，字段映射为报表字段
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"""
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if not vehicle_self_nos:
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return []
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# 构建查询条件
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placeholders = ', '.join(['%s'] * len(vehicle_self_nos))
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sql = f"""
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SELECT
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order_id,
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station_id,
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operator_name,
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connector_name,
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charge_start_time,
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charge_end_time,
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total_power,
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start_soc,
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end_soc,
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elec_money,
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service_money,
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total_money,
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sharp_power,
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peak_power,
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flat_power,
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valley_power,
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vehicle_self_no
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FROM t_hlht_tld
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WHERE vehicle_self_no IN ({placeholders})
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AND second_source != '驿来特'
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AND charge_end_time >= %s
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AND charge_end_time < %s
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ORDER BY charge_end_time DESC
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"""
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params = tuple(vehicle_self_nos) + (start_time_str, end_time_str)
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try:
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results = execute_query(sql, params)
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print(f"[特来电] 查询到 {len(results)} 条订单")
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except Exception as e:
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print(f"[特来电] 查询失败: {e}")
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return []
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# 转换字段名
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converted_orders = []
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for row in results:
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converted = {}
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for telecom_field, report_field in TELECOM_FIELD_MAPPING.items():
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if telecom_field in row:
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converted[report_field] = row[telecom_field]
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# 将名称字段复制到对应的ID字段，以便ID转名称逻辑能正确处理
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# 例如：company_name → company_id（值相同），这样 build_id_to_name_map 会查询 t_company 表
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# 但由于值是名称而不是ID，查询会失败，所以我们需要特殊处理
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for name_field, id_field in TELECOM_NAME_TO_ID_FIELDS.items():
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if name_field in converted:
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converted[id_field] = converted[name_field]
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# 添加数据来源标记
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converted['data_source'] = '特来电'
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converted_orders.append(converted)
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return converted_orders
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def build_id_to_name_map(orders, selected_fields):
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"""
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构建ID到名称的映射字典
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Args:
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orders: 订单数据列表
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selected_fields: 选中的字段列表
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Returns:
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dict: {field_name: {id_value: name_value}}
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"""
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id_name_maps = {}
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for field in selected_fields:
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if field not in ID_TO_NAME_MAPPING:
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continue
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table_name, id_field, name_field = ID_TO_NAME_MAPPING[field]
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# 收集所有需要查询的ID值
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id_values = set()
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telecom_name_values = {} # 特来电数据中的名称值（直接使用）
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for order in orders:
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val = order.get(field)
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if val is not None and val != '' and val != 0:
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# 检查是否是特来电订单
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if order.get('data_source') == '特来电' and field in TELECOM_NAME_TO_ID_FIELDS.values():
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# 特来电数据中的ID字段实际是名称，直接使用
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telecom_name_values[str(val)] = str(val)
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else:
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id_values.add(str(val))
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# 合并特来电的名称映射
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if telecom_name_values:
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id_name_maps[field] = telecom_name_values
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print(f"[ID转换] {field}: 特来电数据直接使用名称 {len(telecom_name_values)} 个")
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# 查询驿来特数据的ID映射
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if not id_values:
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continue
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# 批量查询名称
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placeholders = ', '.join(['%s'] * len(id_values))
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sql = f"SELECT {id_field} AS id_val, {name_field} AS name_val FROM {table_name} WHERE {id_field} IN ({placeholders})"
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try:
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results = execute_query(sql, tuple(id_values))
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if field not in id_name_maps:
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id_name_maps[field] = {}
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id_name_maps[field].update({str(row['id_val']): row['name_val'] for row in results})
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print(f"[ID转换] {field}: 查询到 {len(results)} 个名称映射")
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except Exception as e:
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print(f"[ID转换] {field} 查询失败: {e}")
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if field not in id_name_maps:
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id_name_maps[field] = {}
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return id_name_maps
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def calculate_time_period_electricity(orders, time_periods_config):
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"""
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计算分时段电量
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从 t_equipment_charge_order_detail 表查询分时电量数据，
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根据时段配置计算各时段的电量总和。
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Args:
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orders: 订单数据列表
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time_periods_config: 时段配置 {sharp: [11,12], peak: [9,10], flat: [7,8], valley: [0,1,2,3]}
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Returns:
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dict: {order_no: {sharp_electricity: x, peak_electricity: y, flat_electricity: z, valley_electricity: w}}
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"""
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if not time_periods_config or not any(time_periods_config.values()):
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return {}
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# 收集所有订单号
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order_nos = [order.get('order_no') for order in orders if order.get('order_no')]
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if not order_nos:
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return {}
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# 构建小时到时段的映射
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hour_to_period = {}
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for period_key, hours in time_periods_config.items():
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for hour in hours:
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hour_to_period[hour] = period_key
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if not hour_to_period:
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return {}
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# 批量查询订单的分时电量
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placeholders = ', '.join(['%s'] * len(order_nos))
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sql = f"""
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SELECT order_no, charge_degree, charge_startr_time, time_flag
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FROM t_equipment_charge_order_detail
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WHERE order_no IN ({placeholders})
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ORDER BY order_no, charge_startr_time
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"""
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try:
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details = execute_query(sql, tuple(order_nos))
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print(f"[时段电量] 查询到 {len(details)} 条分时记录")
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except Exception as e:
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print(f"[时段电量] 查询失败: {e}")
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return {}
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# 按订单号分组计算各时段电量
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result = {}
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for order_no in order_nos:
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result[order_no] = {
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'sharp_electricity': 0.0,
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'peak_electricity': 0.0,
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'flat_electricity': 0.0,
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'valley_electricity': 0.0
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}
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for detail in details:
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order_no = detail.get('order_no')
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if order_no not in result:
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continue
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charge_degree = float(detail.get('charge_degree', 0) or 0)
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charge_start_time = detail.get('charge_startr_time')
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if not charge_start_time:
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continue
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# 获取小时数
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if isinstance(charge_start_time, datetime):
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hour = charge_start_time.hour
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elif isinstance(charge_start_time, str):
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try:
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hour = datetime.strptime(str(charge_start_time), '%Y-%m-%d %H:%M:%S').hour
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except:
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continue
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else:
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continue
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# 根据小时确定时段
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period_key = hour_to_period.get(hour)
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if period_key and f'{period_key}_electricity' in result[order_no]:
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result[order_no][f'{period_key}_electricity'] += charge_degree
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return result
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def get_beijing_time():
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"""获取北京时间"""
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beijing_tz = pytz.timezone('Asia/Shanghai')
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return datetime.now(beijing_tz)
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def generate_daily_report(config_id, start_time=None, end_time=None):
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"""
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生成日报
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Args:
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config_id: 配置ID
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start_time: 开始时间（可选，默认为昨天8点）
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end_time: 结束时间（可选，默认为今天8点）
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Returns:
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dict: 生成结果，包含 success, message, file_path, total_orders, total_amount, sum_results
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"""
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try:
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# 获取配置信息
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configs = execute_query(
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'SELECT * FROM t_daily_report_config WHERE id = %s',
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(config_id,)
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)
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if not configs:
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return {'success': False, 'message': '配置不存在'}
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config = configs[0]
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# 解析字段
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selected_fields = json.loads(config['selected_fields'])
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sum_fields = json.loads(config['sum_fields']) if config['sum_fields'] else []
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# 设置时间范围
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if not start_time or not end_time:
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now = get_beijing_time()
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end_time = now.replace(hour=8, minute=0, second=0, microsecond=0)
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start_time = end_time - timedelta(days=1)
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# 格式化时间
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start_time_str = start_time.strftime('%Y-%m-%d %H:%M:%S')
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end_time_str = end_time.strftime('%Y-%m-%d %H:%M:%S')
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print(f"[日报生成] 开始生成日报")
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print(f" 配置ID: {config_id}")
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print(f" 配置名称: {config['config_name']}")
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print(f" 拆分方式: {config['split_type']} = {config['split_value']}")
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print(f" 时间范围: {start_time_str} 至 {end_time_str}")
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print(f" 选择字段: {len(selected_fields)} 个")
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# 构建查询SQL - 过滤掉虚拟字段（时段电量等）
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# 虚拟字段不是数据库表中的实际字段，需要动态计算
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TIME_PERIOD_FIELDS = {'sharp_electricity', 'peak_electricity', 'flat_electricity', 'valley_electricity'}
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db_fields = [f for f in selected_fields if f not in TIME_PERIOD_FIELDS]
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# 确保至少有 order_no 字段用于关联分时数据
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if 'order_no' not in db_fields:
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db_fields.append('order_no')
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fields_str = ', '.join(db_fields)
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# 检查是否为多选值（逗号分隔）
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split_values = [v.strip() for v in config['split_value'].split(',') if v.strip()]
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if len(split_values) > 1:
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# 多选：使用 IN 查询
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placeholders = ', '.join(['%s'] * len(split_values))
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sql = f"""
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SELECT {fields_str}
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FROM t_equipment_charge_order
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WHERE state = 3
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AND report_time >= %s
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AND report_time < %s
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AND {config['split_type']} IN ({placeholders})
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ORDER BY report_time DESC
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"""
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params = [start_time_str, end_time_str] + split_values
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else:
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# 单选：使用 = 查询
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sql = f"""
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SELECT {fields_str}
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FROM t_equipment_charge_order
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WHERE state = 3
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AND report_time >= %s
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AND report_time < %s
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AND {config['split_type']} = %s
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ORDER BY report_time DESC
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"""
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params = [start_time_str, end_time_str, config['split_value']]
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# 执行查询
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orders = execute_query(sql, tuple(params))
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print(f"[日报生成] 驿来特查询到 {len(orders)} 条订单")
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# 添加数据来源标记
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for order in orders:
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order['data_source'] = '驿来特'
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# 检查是否有补单记录（finish_type = 2 表示补单结束）
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has_supplement = any(order.get('finish_type') == 2 for order in orders)
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if has_supplement:
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print(f"[日报生成] 检测到补单记录，将在文件名中添加标记")
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# 检查是否需要合并特来电数据
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merge_telecom = config.get('merge_telecom', 0)
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telecom_vehicle_no = config.get('telecom_vehicle_no', '')
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if merge_telecom and config['split_type'] == 'company_id' and telecom_vehicle_no:
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# 解析车量自编号（支持逗号分隔的多个）
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vehicle_nos = [v.strip() for v in telecom_vehicle_no.split(',') if v.strip()]
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if vehicle_nos:
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print(f"[日报生成] 开始合并特来电数据，车量自编号: {vehicle_nos}")
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telecom_orders = query_telecom_orders(vehicle_nos, start_time_str, end_time_str)
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if telecom_orders:
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# 将特来电数据添加到订单列表
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orders.extend(telecom_orders)
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print(f"[日报生成] 合并后总订单数: {len(orders)}")
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# 检查特来电数据中是否有补单记录
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if not has_supplement:
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has_supplement = any(order.get('finish_type') == 2 for order in telecom_orders)
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if not orders:
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# 即使没有数据，也保存一条失败记录
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save_report_history(
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report_date=start_time.strftime('%Y-%m-%d'),
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start_time=start_time_str,
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end_time=end_time_str,
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split_type=config['split_type'],
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split_value=config['split_value'],
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split_name=config.get('split_name', config['split_value']),
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config_id=config_id,
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total_orders=0,
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total_amount=0,
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sum_results={},
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file_path='',
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status=0
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)
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return {
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'success': False,
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'message': f'时间范围内没有符合条件的订单数据（查询条件：{start_time_str} 至 {end_time_str}，{config["split_type"]}={config["split_value"]}，state=3）'
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}
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# 解析时段配置并计算分时段电量
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time_periods_config = json.loads(config['time_periods']) if config.get('time_periods') else {}
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if time_periods_config and any(time_periods_config.values()):
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print(f"[日报生成] 时段配置: {time_periods_config}")
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time_period_electricity = calculate_time_period_electricity(orders, time_periods_config)
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# 将分时段电量添加到订单数据中（仅对驿来特订单，特来电订单已有数据）
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for order in orders:
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# 特来电订单已有尖峰平谷电量数据，不需要重新计算
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if order.get('data_source') == '特来电':
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continue
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order_no = order.get('order_no')
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if order_no and order_no in time_period_electricity:
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ep = time_period_electricity[order_no]
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||
order['sharp_electricity'] = ep['sharp_electricity']
|
||
order['peak_electricity'] = ep['peak_electricity']
|
||
order['flat_electricity'] = ep['flat_electricity']
|
||
order['valley_electricity'] = ep['valley_electricity']
|
||
|
||
print(f"[日报生成] 已计算 {len(time_period_electricity)} 条订单的分时段电量")
|
||
|
||
# 计算求和（保留三位小数）
|
||
sum_results = {}
|
||
for field in sum_fields:
|
||
if field in orders[0]:
|
||
total = sum(float(order.get(field, 0) or 0) for order in orders)
|
||
sum_results[field] = round(total, 3)
|
||
|
||
# 构建ID到名称的映射
|
||
id_name_maps = build_id_to_name_map(orders, selected_fields)
|
||
|
||
# 生成Excel文件
|
||
file_path = generate_excel(
|
||
orders=orders,
|
||
selected_fields=selected_fields,
|
||
sum_fields=sum_fields,
|
||
sum_results=sum_results,
|
||
config_name=config['config_name'],
|
||
split_name=config.get('split_name', config['split_value']),
|
||
start_time=start_time_str,
|
||
end_time=end_time_str,
|
||
id_name_maps=id_name_maps,
|
||
field_custom_names=config.get('field_custom_names'),
|
||
has_supplement=has_supplement
|
||
)
|
||
|
||
print(f"[日报生成] Excel文件已生成: {file_path}")
|
||
|
||
# 计算总金额
|
||
total_amount = sum(float(order.get('total_money', 0) or 0) for order in orders)
|
||
|
||
# 保存历史记录
|
||
print(f"[日报生成] 准备保存历史记录，file_path={file_path}")
|
||
history_id = save_report_history(
|
||
report_date=start_time.strftime('%Y-%m-%d'),
|
||
start_time=start_time_str,
|
||
end_time=end_time_str,
|
||
split_type=config['split_type'],
|
||
split_value=config['split_value'],
|
||
split_name=config.get('split_name', config['split_value']),
|
||
config_id=config_id,
|
||
total_orders=len(orders),
|
||
total_amount=total_amount,
|
||
sum_results=sum_results,
|
||
file_path=file_path,
|
||
status=1
|
||
)
|
||
print(f"[日报生成] 历史记录已保存，ID={history_id}")
|
||
|
||
print(f"[日报生成] ✓ 生成成功")
|
||
print(f" 订单数量: {len(orders)}")
|
||
print(f" 总金额: {total_amount}")
|
||
print(f" 文件路径: {file_path}")
|
||
print(f" 历史记录ID: {history_id}")
|
||
|
||
return {
|
||
'success': True,
|
||
'message': '日报生成成功',
|
||
'file_path': file_path,
|
||
'total_orders': len(orders),
|
||
'total_amount': total_amount,
|
||
'sum_results': sum_results,
|
||
'history_id': history_id
|
||
}
|
||
|
||
except Exception as e:
|
||
print(f"[日报生成] ✗ 生成失败: {str(e)}")
|
||
import traceback
|
||
traceback.print_exc()
|
||
|
||
# 保存失败记录
|
||
try:
|
||
save_report_history(
|
||
report_date=start_time.strftime('%Y-%m-%d') if start_time else datetime.now().strftime('%Y-%m-%d'),
|
||
start_time=start_time_str if 'start_time_str' in locals() else '',
|
||
end_time=end_time_str if 'end_time_str' in locals() else '',
|
||
split_type=config['split_type'] if 'config' in locals() and config else '',
|
||
split_value=config['split_value'] if 'config' in locals() and config else '',
|
||
split_name=config.get('split_name', '') if 'config' in locals() and config else '',
|
||
config_id=config_id,
|
||
total_orders=0,
|
||
total_amount=0,
|
||
sum_results={},
|
||
file_path='',
|
||
status=0
|
||
)
|
||
print(f"[日报生成] 已保存失败记录到历史表")
|
||
except Exception as save_error:
|
||
print(f"[日报生成] 保存失败记录时出错: {str(save_error)}")
|
||
|
||
return {
|
||
'success': False,
|
||
'message': f'生成日报失败: {str(e)}'
|
||
}
|
||
|
||
|
||
def generate_excel(orders, selected_fields, sum_fields, sum_results,
|
||
config_name, split_name, start_time, end_time,
|
||
id_name_maps=None, field_custom_names=None, has_supplement=False):
|
||
"""
|
||
生成Excel文件
|
||
|
||
Args:
|
||
id_name_maps: ID到名称的映射字典，格式为 {field_name: {id_value: name_value}}
|
||
field_custom_names: 字段自定义名头字典，格式为 {field_key: custom_name}
|
||
has_supplement: 是否有补单记录
|
||
|
||
Returns:
|
||
str: 文件路径
|
||
"""
|
||
if id_name_maps is None:
|
||
id_name_maps = {}
|
||
# 创建reports目录
|
||
reports_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'public', 'reports')
|
||
os.makedirs(reports_dir, exist_ok=True)
|
||
|
||
# 生成文件名 - 格式：配置名称_几月几日消费记录.xlsx
|
||
# 从 start_time 提取日期（报表数据对应的是开始时间那天的数据）
|
||
try:
|
||
start_dt = datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S')
|
||
date_str = f'{start_dt.month}月{start_dt.day}日'
|
||
except:
|
||
date_str = datetime.now().strftime('%m月%d日')
|
||
|
||
# 如果有补单，添加标记
|
||
supplement_suffix = '_有补单' if has_supplement else ''
|
||
filename = f'{config_name}_{date_str}消费记录{supplement_suffix}.xlsx'
|
||
file_path = os.path.join(reports_dir, filename)
|
||
|
||
# 创建工作簿
|
||
wb = Workbook()
|
||
ws = wb.active
|
||
ws.title = '日报'
|
||
|
||
# 写入标题
|
||
ws.merge_cells(start_row=1, start_column=1, end_row=1, end_column=len(selected_fields))
|
||
title_cell = ws.cell(row=1, column=1)
|
||
title_cell.value = f'{config_name} - {split_name} 日报'
|
||
title_cell.font = Font(size=16, bold=True)
|
||
title_cell.alignment = Alignment(horizontal='center')
|
||
|
||
# 写入时间范围
|
||
ws.merge_cells(start_row=2, start_column=1, end_row=2, end_column=len(selected_fields))
|
||
time_cell = ws.cell(row=2, column=1)
|
||
time_cell.value = f'统计时间: {start_time} 至 {end_time}'
|
||
time_cell.alignment = Alignment(horizontal='center')
|
||
|
||
# 写入表头（中文）
|
||
header_row = 4
|
||
field_custom_names = field_custom_names or {}
|
||
for col_idx, field in enumerate(selected_fields, 1):
|
||
cell = ws.cell(row=header_row, column=col_idx)
|
||
# 优先使用自定义名头
|
||
if field in field_custom_names and field_custom_names[field]:
|
||
display_name = field_custom_names[field]
|
||
# 如果是ID字段且有名称映射，表头显示为名称而不是ID
|
||
elif field in id_name_maps and id_name_maps[field]:
|
||
# 将"用户ID"改为"用户"，"企业ID"改为"企业"等
|
||
display_name = get_field_display_name(field).replace('ID', '')
|
||
else:
|
||
display_name = get_field_display_name(field)
|
||
cell.value = display_name
|
||
cell.font = Font(bold=True)
|
||
cell.fill = PatternFill(start_color='D3D3D3', end_color='D3D3D3', fill_type='solid')
|
||
cell.alignment = Alignment(horizontal='center')
|
||
|
||
# 写入数据
|
||
for row_idx, order in enumerate(orders, header_row + 1):
|
||
for col_idx, field in enumerate(selected_fields, 1):
|
||
cell = ws.cell(row=row_idx, column=col_idx)
|
||
value = order.get(field, '')
|
||
|
||
# 格式化时间字段
|
||
if field in ['report_time', 'start_time', 'end_time', 'create_time', 'update_time', 'pay_time']:
|
||
if isinstance(value, datetime):
|
||
value = value.strftime('%Y-%m-%d %H:%M:%S')
|
||
|
||
# 将ID转换为名称
|
||
if field in id_name_maps and value is not None and value != '':
|
||
name_map = id_name_maps[field]
|
||
name_value = name_map.get(str(value))
|
||
if name_value:
|
||
value = name_value
|
||
|
||
cell.value = value
|
||
|
||
# 写入求和行
|
||
if sum_fields:
|
||
sum_row = header_row + len(orders) + 1
|
||
ws.cell(row=sum_row, column=1).value = '合计'
|
||
ws.cell(row=sum_row, column=1).font = Font(bold=True)
|
||
|
||
for col_idx, field in enumerate(selected_fields, 1):
|
||
if field in sum_fields and field in sum_results:
|
||
cell = ws.cell(row=sum_row, column=col_idx)
|
||
cell.value = sum_results[field]
|
||
cell.font = Font(bold=True)
|
||
cell.number_format = '0.000' # 保留三位小数
|
||
|
||
# 调整列宽
|
||
for col_idx, field in enumerate(selected_fields, 1):
|
||
max_length = len(get_field_display_name(field))
|
||
for row in ws.iter_rows(min_row=header_row + 1, max_row=header_row + len(orders),
|
||
min_col=col_idx, max_col=col_idx):
|
||
for cell in row:
|
||
if cell.value:
|
||
max_length = max(max_length, len(str(cell.value)))
|
||
# 使用 openpyxl 的列字母转换函数
|
||
from openpyxl.utils import get_column_letter
|
||
col_letter = get_column_letter(col_idx)
|
||
ws.column_dimensions[col_letter].width = min(max_length + 2, 50)
|
||
|
||
# 保存文件
|
||
wb.save(file_path)
|
||
|
||
# 返回相对路径
|
||
return f'/reports/{filename}'
|
||
|
||
|
||
def save_report_history(report_date, start_time, end_time, split_type, split_value,
|
||
split_name, config_id, total_orders, total_amount,
|
||
sum_results, file_path, status):
|
||
"""
|
||
保存日报生成历史记录
|
||
|
||
Returns:
|
||
int: 历史记录ID
|
||
"""
|
||
# 生成ID
|
||
history_id = int(datetime.now().timestamp() * 1000)
|
||
|
||
print(f"[保存历史] 准备保存历史记录")
|
||
print(f" ID: {history_id}")
|
||
print(f" file_path: '{file_path}'")
|
||
print(f" status: {status}")
|
||
|
||
sql = """
|
||
INSERT INTO t_daily_report_history
|
||
(id, report_date, start_time, end_time, split_type, split_value, split_name,
|
||
config_id, total_orders, total_amount, sum_results, file_path, status, create_time)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
"""
|
||
|
||
params = (
|
||
history_id,
|
||
report_date,
|
||
start_time,
|
||
end_time,
|
||
split_type,
|
||
split_value,
|
||
split_name,
|
||
config_id,
|
||
total_orders,
|
||
total_amount,
|
||
json.dumps(sum_results, ensure_ascii=False),
|
||
file_path,
|
||
status
|
||
)
|
||
|
||
print(f"[保存历史] 执行SQL插入...")
|
||
result = execute_insert(sql, params)
|
||
print(f"[保存历史] 插入完成，返回ID: {result}")
|
||
|
||
return history_id |