104 lines
3.2 KiB
Plaintext
104 lines
3.2 KiB
Plaintext
{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### 日期修复",
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"id": "3ae3e5496f3f8a45"
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},
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true
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},
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"source": [
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"import pandas as pd\n",
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"from datetime import datetime, timezone, timedelta, date, UTC\n",
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"from api import API\n",
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"api_instance = API() \n",
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"\n",
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"df = pd.read_excel(r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Downloads\\门店日使用数据_20250605150559.xlsx\",sheet_name=\"Sheet4\")\n",
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"\n",
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"for index,row in df.iterrows():\n",
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" create_time = row[\"门店创建时间\"]\n",
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" #转换为 UTC 时间（减去 8 小时，并附加 UTC 时区） 本次-16\n",
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" task_start_utc = create_time - timedelta(hours=16)\n",
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" task_start_utc = task_start_utc.replace(tzinfo=timezone.utc) # 显式标记为 UTC\n",
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" # print(task_start_utc)\n",
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" task_start_utc = task_start_utc.strftime(\"%Y-%m-%dT%H:%M:%SZ\")\n",
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" \n",
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" pay_load= {\n",
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" \"api_key\": \"673457d6837e60a418e0e56b\",\n",
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" \"entry_id\": \"67d636bb6212b7619a7a4231\",\n",
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" \"data_id\": row[\"data_id\"],\n",
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" \"data\":\n",
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" {\"_widget_1742091963879\": {\"value\": task_start_utc}, }\n",
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" }\n",
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"\n",
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" api_instance.entry_data_update(pay_load)\n",
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" "
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"metadata": {},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"from datetime import datetime, timezone, timedelta\n",
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"import asyncio\n",
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"from api import API\n",
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"\n",
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"api_instance = API()\n",
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"df = pd.read_excel(r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Downloads\\门店日使用数据_20250605150559.xlsx\", sheet_name=\"Sheet4\")\n",
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"\n",
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"async def process_row(row):\n",
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" create_time = row[\"门店创建时间\"]\n",
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" task_start_utc = create_time - timedelta(hours=16)\n",
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" task_start_utc = task_start_utc.replace(tzinfo=timezone.utc)\n",
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" task_start_utc = task_start_utc.strftime(\"%Y-%m-%dT%H:%M:%SZ\")\n",
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"\n",
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" pay_load = {\n",
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" \"api_key\": \"673457d6837e60a418e0e56b\",\n",
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" \"entry_id\": \"67d636bb6212b7619a7a4231\",\n",
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" \"data_id\": row[\"data_id\"],\n",
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" \"data\": {\"_widget_1742091963879\": {\"value\": task_start_utc}}\n",
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" }\n",
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" await api_instance.entry_data_update(pay_load)\n",
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"\n",
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"async def main():\n",
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" tasks = [process_row(row) for _, row in df.iterrows()]\n",
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" await asyncio.gather(*tasks)\n",
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"\n",
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"asyncio.run(main())"
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],
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"id": "74596d33a4541073",
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"outputs": [],
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"execution_count": null
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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