102 lines
2.9 KiB
Plaintext
102 lines
2.9 KiB
Plaintext
{
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"cells": [
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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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"ExecuteTime": {
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"end_time": "2025-09-15T06:38:10.678825Z",
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"start_time": "2025-09-15T06:38:10.523582Z"
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}
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},
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"source": [
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"from datetime import datetime, timezone, timedelta, date, UTC\n",
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"import holidays\n",
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"from config import Config\n",
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"import psycopg2\n",
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"import pandas as pd\n",
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"import pymysql\n",
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"from api import API\n",
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"from log_config import configure_task_logger, configure_error_task_logger\n",
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"\n",
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"\n",
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"def get_jcb_details():\n",
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" \"\"\"\n",
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" 从固定的数据库中获取前几天的NGV明细。\n",
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" 参数 `days_back` 表示相对于今天的天数偏移量，默认为1（即前一天）。\n",
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" 返回包含NGV明细的pandas DataFrame。\n",
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" \"\"\"\n",
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" # 保存为CSV文件\n",
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" output_dir = \"output\" # 设置输出目录\n",
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"\n",
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" # 创建输出目录（如果不存在）\n",
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" import os\n",
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" os.makedirs(output_dir, exist_ok=True)\n",
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"\n",
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" try:\n",
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" # 获得连接并创建游标\n",
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" conn = pymysql.connect(\n",
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" host=Config.BI_CONN_host,\n",
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" database=Config.BI_CONN_INFO_database,\n",
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" user=Config.BI_CONN_INFO_user,\n",
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" password=Config.BI_CONN_INFO_password,\n",
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" # charset='utf8mb4', # 设置字符集以避免编码问题\n",
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" # cursorclass=pymysql.cursors.DictCursor # 返回字典形式的结果\n",
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" )\n",
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" cursor = conn.cursor()\n",
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"\n",
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" # 获取指定天数前的日期\n",
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" # now_time = datetime.now()\n",
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" # target_time = now_time + timedelta(days=-days_back)\n",
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" target_date_id = \"接车宝\" # 获取目标日期\n",
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"\n",
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" # SQL 查询语句\n",
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" sql = f\"\"\"\n",
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" SELECT * FROM jdy_hs_holo_dws_sales_magic_box_ngv_d;\n",
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" \"\"\"\n",
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"\n",
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" # 执行查询并获取结果\n",
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" cursor.execute(sql)\n",
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" rows = cursor.fetchall() # pymysql 的 DictCursor 会返回字典列表\n",
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" print(rows)\n",
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" except:\n",
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" pass\n",
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"\n",
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"get_jcb_details()"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"()\n"
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]
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}
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],
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"execution_count": 5
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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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