import pandas as pd
from datetime import datetime

# 1. 整体统计数据
overall_data = [
    {"渠道": "学而思", "新增注册总人数": 615, "购课总人数":7, "购课总金额（元）":7794},
    {"渠道": "科大讯飞", "新增注册总人数": 377, "购课总人数":4, "购课总金额（元）":3796},
    {"渠道": "希沃", "新增注册总人数": 122, "购课总人数":1, "购课总金额（元）":599},
    {"渠道": "京东方", "新增注册总人数": 61, "购课总人数":1, "购课总金额（元）":599},
    {"渠道": "合计", "新增注册总人数": 1175, "购课总人数":13, "购课总金额（元）":12788},
]
df_overall = pd.DataFrame(overall_data)

# 2. 每日购课明细数据
purchase_data = [
    {"日期": "2026-03-02", "渠道": "学而思", "购课人数":1, "购课金额（元）":599, "订单号": "zfb202603022031481772454708683943"},
    {"日期": "2026-03-07", "渠道": "学而思", "购课人数":1, "购课金额（元）":599, "订单号": "wx202603071022051772850125753228"},
    {"日期": "2026-03-07", "渠道": "科大讯飞", "购课人数":1, "购课金额（元）":599, "订单号": "wx202603072123501772889830225976"},
    {"日期": "2026-03-10", "渠道": "学而思", "购课人数":1, "购课金额（元）":1999, "订单号": "wx202603101820431773138043948181"},
    {"日期": "2026-03-15", "渠道": "科大讯飞", "购课人数":2, "购课金额（元）":2598, "订单号": "wx202603150854031773536043478685、wx20260315122747177354886748896"},
    {"日期": "2026-03-18", "渠道": "学而思", "购课人数":2, "购课金额（元）":2598, "订单号": "wx202603182055481773838548372991、zfb202603182118201773839900411837"},
    {"日期": "2026-03-23", "渠道": "科大讯飞", "购课人数":1, "购课金额（元）":599, "订单号": "wx202603232015081774268108032833"},
    {"日期": "2026-03-24", "渠道": "京东方", "购课人数":1, "购课金额（元）":599, "订单号": "zfb202603242026431774355203538499"},
    {"日期": "2026-03-27", "渠道": "学而思", "购课人数":1, "购课金额（元）":1999, "订单号": "wx202603271258341774587514141956"},
    {"日期": "2026-03-28", "渠道": "希沃", "购课人数":1, "购课金额（元）":599, "订单号": "wx20260328145038177468063894734"},
]
df_purchase = pd.DataFrame(purchase_data)

# 3. 每日新增注册数据
register_data = [
    {"日期": "2026-03-01", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-01", "渠道": "学而思", "新增注册人数": 48},
    {"日期": "2026-03-01", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-02", "渠道": "京东方", "新增注册人数": 3},
    {"日期": "2026-03-02", "渠道": "学而思", "新增注册人数": 38},
    {"日期": "2026-03-02", "渠道": "希沃", "新增注册人数": 1},
    {"日期": "2026-03-03", "渠道": "学而思", "新增注册人数": 24},
    {"日期": "2026-03-03", "渠道": "希沃", "新增注册人数": 4},
    {"日期": "2026-03-04", "渠道": "京东方", "新增注册人数": 4},
    {"日期": "2026-03-04", "渠道": "学而思", "新增注册人数": 20},
    {"日期": "2026-03-04", "渠道": "希沃", "新增注册人数": 10},
    {"日期": "2026-03-04", "渠道": "科大讯飞", "新增注册人数": 3},
    {"日期": "2026-03-05", "渠道": "京东方", "新增注册人数": 7},
    {"日期": "2026-03-05", "渠道": "学而思", "新增注册人数": 37},
    {"日期": "2026-03-05", "渠道": "希沃", "新增注册人数": 15},
    {"日期": "2026-03-05", "渠道": "科大讯飞", "新增注册人数": 17},
    {"日期": "2026-03-06", "渠道": "京东方", "新增注册人数": 6},
    {"日期": "2026-03-06", "渠道": "学而思", "新增注册人数": 26},
    {"日期": "2026-03-06", "渠道": "希沃", "新增注册人数": 9},
    {"日期": "2026-03-06", "渠道": "科大讯飞", "新增注册人数": 12},
    {"日期": "2026-03-07", "渠道": "京东方", "新增注册人数": 5},
    {"日期": "2026-03-07", "渠道": "学而思", "新增注册人数": 35},
    {"日期": "2026-03-07", "渠道": "希沃", "新增注册人数": 5},
    {"日期": "2026-03-07", "渠道": "科大讯飞", "新增注册人数": 34},
    {"日期": "2026-03-08", "渠道": "京东方", "新增注册人数": 3},
    {"日期": "2026-03-08", "渠道": "学而思", "新增注册人数": 33},
    {"日期": "2026-03-08", "渠道": "希沃", "新增注册人数": 12},
    {"日期": "2026-03-08", "渠道": "科大讯飞", "新增注册人数": 34},
    {"日期": "2026-03-09", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-09", "渠道": "学而思", "新增注册人数": 27},
    {"日期": "2026-03-09", "渠道": "希沃", "新增注册人数": 5},
    {"日期": "2026-03-09", "渠道": "科大讯飞", "新增注册人数": 15},
    {"日期": "2026-03-10", "渠道": "学而思", "新增注册人数": 15},
    {"日期": "2026-03-10", "渠道": "希沃", "新增注册人数": 3},
    {"日期": "2026-03-10", "渠道": "科大讯飞", "新增注册人数": 9},
    {"日期": "2026-03-11", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-11", "渠道": "学而思", "新增注册人数": 25},
    {"日期": "2026-03-11", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-11", "渠道": "科大讯飞", "新增注册人数": 13},
    {"日期": "2026-03-12", "渠道": "京东方", "新增注册人数": 5},
    {"日期": "2026-03-12", "渠道": "学而思", "新增注册人数": 24},
    {"日期": "2026-03-12", "渠道": "希沃", "新增注册人数": 5},
    {"日期": "2026-03-12", "渠道": "科大讯飞", "新增注册人数": 15},
    {"日期": "2026-03-13", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-13", "渠道": "学而思", "新增注册人数": 31},
    {"日期": "2026-03-13", "渠道": "希沃", "新增注册人数": 7},
    {"日期": "2026-03-13", "渠道": "科大讯飞", "新增注册人数": 8},
    {"日期": "2026-03-14", "渠道": "学而思", "新增注册人数": 30},
    {"日期": "2026-03-14", "渠道": "希沃", "新增注册人数": 3},
    {"日期": "2026-03-14", "渠道": "科大讯飞", "新增注册人数": 22},
    {"日期": "2026-03-15", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-15", "渠道": "学而思", "新增注册人数": 22},
    {"日期": "2026-03-15", "渠道": "希沃", "新增注册人数": 3},
    {"日期": "2026-03-15", "渠道": "科大讯飞", "新增注册人数": 22},
    {"日期": "2026-03-16", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-16", "渠道": "学而思", "新增注册人数": 6},
    {"日期": "2026-03-16", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-16", "渠道": "科大讯飞", "新增注册人数": 10},
    {"日期": "2026-03-17", "渠道": "京东方", "新增注册人数": 3},
    {"日期": "2026-03-17", "渠道": "学而思", "新增注册人数": 12},
    {"日期": "2026-03-17", "渠道": "希沃", "新增注册人数": 3},
    {"日期": "2026-03-17", "渠道": "科大讯飞", "新增注册人数": 6},
    {"日期": "2026-03-18", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-18", "渠道": "学而思", "新增注册人数": 9},
    {"日期": "2026-03-18", "渠道": "科大讯飞", "新增注册人数": 11},
    {"日期": "2026-03-19", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-19", "渠道": "学而思", "新增注册人数": 6},
    {"日期": "2026-03-19", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-19", "渠道": "科大讯飞", "新增注册人数": 9},
    {"日期": "2026-03-20", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-20", "渠道": "学而思", "新增注册人数": 13},
    {"日期": "2026-03-20", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-20", "渠道": "科大讯飞", "新增注册人数": 12},
    {"日期": "2026-03-21", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-21", "渠道": "学而思", "新增注册人数": 27},
    {"日期": "2026-03-21", "渠道": "科大讯飞", "新增注册人数": 26},
    {"日期": "2026-03-22", "渠道": "学而思", "新增注册人数": 12},
    {"日期": "2026-03-22", "渠道": "希沃", "新增注册人数": 4},
    {"日期": "2026-03-22", "渠道": "科大讯飞", "新增注册人数": 22},
    {"日期": "2026-03-23", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-23", "渠道": "学而思", "新增注册人数": 9},
    {"日期": "2026-03-23", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-23", "渠道": "科大讯飞", "新增注册人数": 5},
    {"日期": "2026-03-24", "渠道": "学而思", "新增注册人数": 4},
    {"日期": "2026-03-24", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-24", "渠道": "科大讯飞", "新增注册人数": 8},
    {"日期": "2026-03-25", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-25", "渠道": "学而思", "新增注册人数": 12},
    {"日期": "2026-03-25", "渠道": "希沃", "新增注册人数": 5},
    {"日期": "2026-03-25", "渠道": "科大讯飞", "新增注册人数": 13},
    {"日期": "2026-03-26", "渠道": "京东方", "新增注册人数": 1},
    {"日期": "2026-03-26", "渠道": "学而思", "新增注册人数": 8},
    {"日期": "2026-03-26", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-26", "渠道": "科大讯飞", "新增注册人数": 8},
    {"日期": "2026-03-27", "渠道": "学而思", "新增注册人数": 9},
    {"日期": "2026-03-27", "渠道": "希沃", "新增注册人数": 6},
    {"日期": "2026-03-27", "渠道": "科大讯飞", "新增注册人数": 6},
    {"日期": "2026-03-28", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-28", "渠道": "学而思", "新增注册人数": 20},
    {"日期": "2026-03-28", "渠道": "希沃", "新增注册人数": 4},
    {"日期": "2026-03-28", "渠道": "科大讯飞", "新增注册人数": 12},
    {"日期": "2026-03-29", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-29", "渠道": "学而思", "新增注册人数": 16},
    {"日期": "2026-03-29", "渠道": "科大讯飞", "新增注册人数": 9},
    {"日期": "2026-03-30", "渠道": "京东方", "新增注册人数": 2},
    {"日期": "2026-03-30", "渠道": "学而思", "新增注册人数": 7},
    {"日期": "2026-03-30", "渠道": "希沃", "新增注册人数": 2},
    {"日期": "2026-03-30", "渠道": "科大讯飞", "新增注册人数": 6},
    {"日期": "2026-03-31", "渠道": "京东方", "新增注册人数": 3},
    {"日期": "2026-03-31", "渠道": "学而思", "新增注册人数": 10},
    {"日期": "2026-03-31", "渠道": "科大讯飞", "新增注册人数": 10},
]
df_register = pd.DataFrame(register_data)

# 生成Excel文件
output_path = "/root/.openclaw/workspace/2026年3月硬件渠道数据汇总.xlsx"
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
    df_overall.to_excel(writer, sheet_name='整体统计', index=False)
    df_purchase.to_excel(writer, sheet_name='每日购课明细', index=False)
    df_register.to_excel(writer, sheet_name='每日新增注册明细', index=False)

print(f"文件已生成：{output_path}")