沥青定量添加月度数据测试通过
This commit is contained in:
workpc
parent
5e3389d5dd
commit
991a068bb6
@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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@ -192,8 +192,7 @@
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"\n",
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"def get_cur_time(date = ''):\n",
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" if date == '':\n",
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" import datetime\n",
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" now = datetime.datetime.now()\n",
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" now = datetime.now()\n",
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" else:\n",
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" now = date\n",
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" year = now.year\n",
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@ -545,6 +544,9 @@
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" else:\n",
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" append_rows.append(\"\")\n",
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" save_xls(append_rows)\n",
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" \n",
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" # 获取当月的数据写入到指定文件\n",
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" queryDataListItemNos(token)\n",
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" optimize_Model()\n",
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" upload_data_to_system(token_push)\n",
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" # data_list.append(three_cols)\n",
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@ -582,8 +584,11 @@
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" else:\n",
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" append_rows.append(\"\")\n",
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" save_xls(append_rows)\n",
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" optimize_Model()\n",
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" upload_data_to_system(token_push,date)\n",
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"\n",
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" # 获取当月的数据写入到指定文件\n",
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" queryDataListItemNos(token)\n",
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" # optimize_Model()\n",
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" # upload_data_to_system(token_push,date)\n",
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" # data_list.append(three_cols)\n",
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" # write_xls(data_list)\n",
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"\n",
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@ -786,7 +791,7 @@
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"\n",
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"def save_queryDataListItemNos_xls(data_df,dataItemNoList):\n",
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"\n",
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" current_year_month = datetime.datetime.now().strftime('%Y-%m')\n",
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" current_year_month = datetime.now().strftime('%Y-%m')\n",
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" grouped = data_df.groupby(\"dataDate\")\n",
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"\n",
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" # 打开xls文件\n",
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@ -854,16 +859,19 @@
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"\n",
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"\n",
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"\n",
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"def queryDataListItemNos():\n",
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"def queryDataListItemNos(token=None):\n",
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" df = pd.read_excel('沥青数据项.xls')\n",
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" dataItemNoList = df.iloc[0].tolist()[1:]\n",
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" \n",
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" if token is None:\n",
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" token = get_head_auth()\n",
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"\n",
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" token = get_head_auth()\n",
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" if not token:\n",
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" return\n",
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" if not token:\n",
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" print('token获取失败')\n",
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" return\n",
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"\n",
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" # 获取当前日期\n",
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" current_date = datetime.datetime.now()\n",
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" current_date = datetime.now()\n",
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"\n",
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" # 获取当月1日\n",
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" first_day_of_month = current_date.replace(day=1)\n",
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@ -880,6 +888,7 @@
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" data_df[\"dataDate\"] = pd.to_datetime(data_df[\"dataDate\"])\n",
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" data_df[\"dataDate\"] = data_df[\"dataDate\"].dt.strftime('%Y-%m-%d')\n",
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" save_queryDataListItemNos_xls(data_df,dataItemNoList)\n",
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" print('当月数据更新完成')\n",
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"\n",
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"\n",
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"if __name__ == \"__main__\":\n",
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@ -894,8 +903,7 @@
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" # current_time = time.strftime(\"%H:%M:%S\", time.localtime())\n",
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" # current_time_1 = time.strftime(\"%H:%M:%S\", time.localtime())\n",
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"\n",
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" # 获取当月的数据写入到指定文件\n",
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" # queryDataListItemNos()\n",
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"\n",
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" \n",
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"\n",
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" # # 判断当前时间是否为执行任务的时间点\n",
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@ -906,7 +914,7 @@
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" # 预测训练，\n",
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" # 预测结果上传\n",
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"\n",
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" # start()\n",
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" # start()\n",
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"\n",
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" # # 休眠1秒钟，避免过多占用CPU资源\n",
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" # time.sleep(1)\n",
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@ -926,14 +934,37 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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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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"20250401\n"
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]
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},
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{
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"ename": "PermissionError",
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"evalue": "[Errno 13] Permission denied: '沥青数据项.xls'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mPermissionError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[12], line 11\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m start_date \u001b[38;5;241m<\u001b[39m end_date:\n\u001b[0;32m 10\u001b[0m \u001b[38;5;28mprint\u001b[39m(start_date\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m---> 11\u001b[0m start_3(start_date,token,token_push)\n\u001b[0;32m 12\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m 13\u001b[0m start_2(start_date,token)\n",
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"Cell \u001b[1;32mIn[11], line 553\u001b[0m, in \u001b[0;36mstart_3\u001b[1;34m(date, token, token_push)\u001b[0m\n\u001b[0;32m 551\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 552\u001b[0m append_rows\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 553\u001b[0m save_xls(append_rows)\n\u001b[0;32m 555\u001b[0m \u001b[38;5;66;03m# 获取当月的数据写入到指定文件\u001b[39;00m\n\u001b[0;32m 556\u001b[0m queryDataListItemNos(token)\n",
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"Cell \u001b[1;32mIn[11], line 731\u001b[0m, in \u001b[0;36msave_xls\u001b[1;34m(append_rows)\u001b[0m\n\u001b[0;32m 728\u001b[0m new_sheet\u001b[38;5;241m.\u001b[39mwrite(row_count, col, append_rows[col])\n\u001b[0;32m 730\u001b[0m \u001b[38;5;66;03m# 保存新的xls文件\u001b[39;00m\n\u001b[1;32m--> 731\u001b[0m new_workbook\u001b[38;5;241m.\u001b[39msave(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m沥青数据项.xls\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
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"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python311\\site-packages\\xlwt\\Workbook.py:710\u001b[0m, in \u001b[0;36mWorkbook.save\u001b[1;34m(self, filename_or_stream)\u001b[0m\n\u001b[0;32m 707\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m CompoundDoc\n\u001b[0;32m 709\u001b[0m doc \u001b[38;5;241m=\u001b[39m CompoundDoc\u001b[38;5;241m.\u001b[39mXlsDoc()\n\u001b[1;32m--> 710\u001b[0m doc\u001b[38;5;241m.\u001b[39msave(filename_or_stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_biff_data())\n",
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"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python311\\site-packages\\xlwt\\CompoundDoc.py:262\u001b[0m, in \u001b[0;36mXlsDoc.save\u001b[1;34m(self, file_name_or_filelike_obj, stream)\u001b[0m\n\u001b[0;32m 260\u001b[0m we_own_it \u001b[38;5;241m=\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(f, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwrite\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 261\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m we_own_it:\n\u001b[1;32m--> 262\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(file_name_or_filelike_obj, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw+b\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 263\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mheader)\n\u001b[0;32m 264\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpacked_MSAT_1st)\n",
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"\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '沥青数据项.xls'"
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]
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}
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],
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"source": [
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"# from datetime import datetime, timedelta\n",
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"\n",
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"# start_date = datetime(2025, 2, 1)\n",
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"# end_date = datetime(2025, 3, 1)\n",
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"# start_date = datetime(2025, 4, 1)\n",
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"# end_date = datetime(2025, 4, 2)\n",
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"# token = get_head_auth()\n",
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"\n",
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"# token_push = get_head_push_auth()\n",
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@ -945,74 +976,6 @@
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"# start_2(start_date,token)\n",
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"# start_date += timedelta(days=1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:811: DeprecationWarning:\n",
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"\n",
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"The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n",
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"\n",
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"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:302: UserWarning:\n",
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"\n",
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"The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n",
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"\n"
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]
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},
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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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"Using matplotlib backend: QtAgg\n",
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"%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
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"Populating the interactive namespace from numpy and matplotlib\n",
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"Fitting 3 folds for each of 180 candidates, totalling 540 fits\n",
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"Best score: 0.997\n",
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"Best parameters set:\n",
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"\tlearning_rate: 0.1\n",
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"\tmax_depth: 6\n",
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"\tn_estimators: 100\n",
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"日期\n",
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"2025-03-26 3627.309326\n",
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"Name: 日度预测价格, dtype: float32\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:242: UserWarning:\n",
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"\n",
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"The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.\n",
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"\n",
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"C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_19596\\1389844199.py:276: FutureWarning:\n",
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"\n",
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"Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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"\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"3627.31"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"queryDataListItemNos()\n",
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"optimize_Model()\n",
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"forecast_price()"
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]
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}
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],
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"metadata": {
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