From ac8086d2d88803ad8476e92c37ea38943fe4f8ea Mon Sep 17 00:00:00 2001
From: workpc <liurui_test@163.com>
Date: Tue, 8 Apr 2025 10:13:28 +0800
Subject: [PATCH] =?UTF-8?q?=E7=BA=AF=E8=8B=AF=E6=AF=8F=E6=9C=88=E6=95=B0?=
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---
 aisenzhecode/石油苯/日度价格预测_最佳模型.pkl |  Bin 178996 -> 177432 bytes
 .../石油苯/纯苯价格预测-自定义日期ytj.ipynb   | 1042 ++---------------
 aisenzhecode/石油苯/纯苯数据项.xls            |  Bin 154112 -> 158208 bytes
 3 files changed, 90 insertions(+), 952 deletions(-)

diff --git a/aisenzhecode/石油苯/日度价格预测_最佳模型.pkl b/aisenzhecode/石油苯/日度价格预测_最佳模型.pkl
index 06b4fce4c8e09f5f12621c6e63f1e47c450e8a60..b25f3a29882afc2aef3f31849e2e9a9e3a69171b 100644
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diff --git a/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb b/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb
index b2e2801..944eb98 100644
--- a/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb
+++ b/aisenzhecode/石油苯/纯苯价格预测-自定义日期ytj.ipynb
@@ -11,23 +11,23 @@
        "        <script type=\"text/javascript\">\n",
        "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
        "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.12.1.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
        "        </script>\n",
-       "        <script type=\"module\">import \"https://cdn.plot.ly/plotly-3.0.1.min\"</script>\n",
        "        "
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\h5218\\AppData\\Local\\Temp\\ipykernel_35936\\3451377547.py:725: DeprecationWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
     }
    ],
    "source": [
@@ -35,7 +35,7 @@
     "import json\n",
     "import xlrd\n",
     "import xlwt\n",
-    "from datetime import datetime\n",
+    "from datetime import datetime,timedelta\n",
     "import time\n",
     "# 变量定义\n",
     "login_url = \"http://10.200.32.39/jingbo-api/api/server/login\"\n",
@@ -96,7 +96,6 @@
     "from sklearn.linear_model import Lasso\n",
     "from xgboost import XGBRegressor\n",
     "\n",
-    "import datetime\n",
     "import statsmodels.api as sm\n",
     "try:\n",
     "    from keras.preprocessing.sequence import TimeseriesGenerator\n",
@@ -191,8 +190,7 @@
     "\n",
     "def get_cur_time(date=''):\n",
     "    if date == '':\n",
-    "        import datetime\n",
-    "        now = datetime.datetime.now()\n",
+    "        now = datetime.now()\n",
     "    else:\n",
     "        now = date\n",
     "    year = now.year\n",
@@ -222,22 +220,22 @@
     "\n",
     "def upload_data_to_system(token_push,date):\n",
     "    datavalue = forecast_price()\n",
-    "    data = {\n",
-    "        \"funcModule\": \"数据表信息列表\",\n",
-    "        \"funcOperation\": \"新增\",\n",
-    "        \"data\": [\n",
-    "            {\"dataItemNo\": \"C01100047|FORECAST_PRICE\",\n",
-    "             \"dataDate\": get_cur_time(date)[0],\n",
-    "             \"dataStatus\": \"add\",\n",
-    "             \"dataValue\": datavalue\n",
-    "             }\n",
+    "    # data = {\n",
+    "    #     \"funcModule\": \"数据表信息列表\",\n",
+    "    #     \"funcOperation\": \"新增\",\n",
+    "    #     \"data\": [\n",
+    "    #         {\"dataItemNo\": \"C01100047|FORECAST_PRICE\",\n",
+    "    #          \"dataDate\": get_cur_time(date)[0],\n",
+    "    #          \"dataStatus\": \"add\",\n",
+    "    #          \"dataValue\": datavalue\n",
+    "    #          }\n",
     "\n",
-    "        ]\n",
-    "    }\n",
-    "    print(data)\n",
-    "    headers = {\"Authorization\": token_push}\n",
-    "    res = requests.post(url=upload_url, headers=headers, json=data, timeout=(3, 5))\n",
-    "    print(res.text)\n",
+    "    #     ]\n",
+    "    # }\n",
+    "    # print(data)\n",
+    "    # headers = {\"Authorization\": token_push}\n",
+    "    # res = requests.post(url=upload_url, headers=headers, json=data, timeout=(3, 5))\n",
+    "    # print(res.text)\n",
     "\n",
     "    \n",
     "# def upload_data_to_system(token):\n",
@@ -336,7 +334,6 @@
     "    from sklearn.linear_model import Lasso\n",
     "    from xgboost import XGBRegressor\n",
     "\n",
-    "    from datetime import datetime\n",
     "    import statsmodels.api as sm\n",
     "    try:\n",
     "        from keras.preprocessing.sequence import TimeseriesGenerator\n",
@@ -506,19 +503,17 @@
     "\n",
     "\n",
     "\n",
-    "def start(date):\n",
+    "def start(date,token=None,token_push=None):\n",
     "    read_xls_data()\n",
     "\n",
-    "    token = get_head_auth()\n",
-    "    if not token:\n",
-    "        return\n",
-    "    token_push = get_head_push_auth()\n",
-    "    if not token_push:\n",
-    "        return\n",
+    "    if token == None:\n",
+    "        token = get_head_auth()\n",
+    "        token_push = get_head_push_auth()\n",
     "\n",
     "    datas = get_data_value(token, one_cols[1:],date)\n",
-    "#     if not datas:\n",
-    "#         return\n",
+    "    if not datas:\n",
+    "        print(\"今天没有新数据\")\n",
+    "        return\n",
     "\n",
     "    # data_list = [two_cols, one_cols]\n",
     "    append_rows = [get_cur_time(date)[1]]\n",
@@ -536,7 +531,12 @@
     "        else:\n",
     "            append_rows.append(\"\")\n",
     "    save_xls(append_rows)\n",
+    "    \n",
+    "    # 获取当月的数据写入到指定文件，如果是补充数据，不需要执行\n",
+    "    queryDataListItemNos()\n",
+    "    # 模型训练\n",
     "    optimize_Model()\n",
+    "    # 上传预测数据\n",
     "    upload_data_to_system(token_push,date)\n",
     "    # data_list.append(three_cols)\n",
     "    # write_xls(data_list)\n",
@@ -701,7 +701,7 @@
     "\n",
     "def save_queryDataListItemNos_xls(data_df,dataItemNoList):\n",
     "\n",
-    "    current_year_month = datetime.datetime.now().strftime('%Y-%m')\n",
+    "    current_year_month = datetime.now().strftime('%Y-%m')\n",
     "    grouped = data_df.groupby(\"dataDate\")\n",
     "\n",
     "    # 打开xls文件\n",
@@ -768,16 +768,14 @@
     "\n",
     "\n",
     "\n",
-    "def queryDataListItemNos():\n",
+    "def queryDataListItemNos(token=None):\n",
     "    df = pd.read_excel('纯苯数据项.xls')\n",
     "    dataItemNoList = df.iloc[0].tolist()[1:]\n",
     "\n",
-    "    token = get_head_auth()\n",
-    "    if not token:\n",
-    "        return\n",
-    "\n",
+    "    if token == None:\n",
+    "        token = get_head_auth()\n",
     "    # 获取当前日期\n",
-    "    current_date = datetime.datetime.now()\n",
+    "    current_date = datetime.now()\n",
     "\n",
     "    # 获取当月1日\n",
     "    first_day_of_month = current_date.replace(day=1)\n",
@@ -800,32 +798,27 @@
     "\n",
     "\n",
     "if __name__ == \"__main__\":\n",
-    "    # queryDataListItemNos()\n",
-    "    pass\n",
-    "    # 需要单独运行放开\n",
-    "    #  start_1()\n",
     "\n",
     "    # 每天定时12点运行\n",
-    "    # while True:\n",
-    "    #     # 获取当前时间\n",
-    "    #     current_time = time.strftime(\"%H:%M:%S\", time.localtime())\n",
-    "    #     current_time_1 = time.strftime(\"%H:%M:%S\", time.localtime())\n",
-    "    #     # 获取当月的数据写入到指定文件\n",
-    "    #     queryDataListItemNos()\n",
-    "\n",
-    "\n",
-    "    #     # 判断当前时间是否为执行任务的时间点\n",
-    "    #     if current_time == \"09:15:00\":\n",
-    "    #         print(\"执行定时任务\")\n",
-    "    #         start()\n",
-    "\n",
-    "    #     # 休眠1秒钟，避免过多占用CPU资源\n",
-    "    #         time.sleep(1)\n",
+    "    while True:\n",
+    "        # 获取当前时间\n",
+    "        current_time = time.strftime(\"%H:%M:%S\", time.localtime())\n",
+    "        current_time_1 = time.strftime(\"%H:%M:%S\", time.localtime())\n",
     "        \n",
-    "    #     elif current_time_1 == \"20:00:00\":\n",
-    "    #         print(\"更新数据\")\n",
-    "    #         start_1()\n",
-    "    #     time.sleep(1)\n",
+    "\n",
+    "\n",
+    "        # 判断当前时间是否为执行任务的时间点\n",
+    "        if current_time == \"09:15:00\":\n",
+    "            print(\"执行定时任务\")\n",
+    "            start()\n",
+    "\n",
+    "        # 休眠1秒钟，避免过多占用CPU资源\n",
+    "            time.sleep(1)\n",
+    "        \n",
+    "        elif current_time_1 == \"20:00:00\":\n",
+    "            print(\"更新数据\")\n",
+    "            start_1()\n",
+    "        time.sleep(1)\n",
     "\n",
     "\n",
     "#     # 检测数据准确性, 需要检测放开\n",
@@ -835,84 +828,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "20250201\n",
-      "{'dataDate': '20250201', 'dataItemNo': 'C01100047|TURNOVER'}\n"
+      "20250408\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:725: DeprecationWarning:\n",
+      "\n",
+      "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",
+      "\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:279: UserWarning:\n",
       "\n",
       "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",
       "\n",
       "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
       "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.321e+05, tolerance: 4.074e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: <object object at 0x0000028F59DBAF30>\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
+      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.083e+05, tolerance: 4.378e+04\n",
+      "\n",
       "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\pylab.py:162: UserWarning:\n",
       "\n",
-      "pylab import has clobbered these variables: ['datetime', '__version__', 'plot', 'random']\n",
+      "pylab import has clobbered these variables: ['plot', 'datetime', '__version__', 'random']\n",
       "`%matplotlib` prevents importing * from pylab and numpy\n",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-01    7738.433105\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250201', 'dataStatus': 'add', 'dataValue': 7738.43}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250202\n",
-      "{'dataDate': '20250202', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.506e+05, tolerance: 4.089e+04\n",
       "\n"
      ]
     },
@@ -930,11 +875,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:232: UserWarning:\n",
       "\n",
       "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",
       "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
+      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_31052\\2446979738.py:262: FutureWarning:\n",
       "\n",
       "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",
       "\n"
@@ -945,832 +890,25 @@
      "output_type": "stream",
      "text": [
       "Date\n",
-      "2025-02-02    7700.021484\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250202', 'dataStatus': 'add', 'dataValue': 7700.02}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250203\n",
-      "{'dataDate': '20250203', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.696e+05, tolerance: 4.096e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-03    7693.463379\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250203', 'dataStatus': 'add', 'dataValue': 7693.46}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250204\n",
-      "{'dataDate': '20250204', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.780e+05, tolerance: 4.200e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-04    7798.116211\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250204', 'dataStatus': 'add', 'dataValue': 7798.12}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250205\n",
-      "{'dataDate': '20250205', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.551e+05, tolerance: 4.144e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-05    7865.974609\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250205', 'dataStatus': 'add', 'dataValue': 7865.97}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250206\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.553e+05, tolerance: 4.144e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-06    7896.265137\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250206', 'dataStatus': 'add', 'dataValue': 7896.27}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250207\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.955e+05, tolerance: 4.168e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-07    7841.537109\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250207', 'dataStatus': 'add', 'dataValue': 7841.54}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250208\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.733e+05, tolerance: 4.197e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-08    7814.474609\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250208', 'dataStatus': 'add', 'dataValue': 7814.47}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250209\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.675e+05, tolerance: 4.062e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-09    7832.284668\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250209', 'dataStatus': 'add', 'dataValue': 7832.28}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250210\n",
-      "{'dataDate': '20250210', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.531e+05, tolerance: 4.103e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-10    7917.837891\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250210', 'dataStatus': 'add', 'dataValue': 7917.84}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250211\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.307e+05, tolerance: 4.073e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-11    7919.563965\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250211', 'dataStatus': 'add', 'dataValue': 7919.56}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250212\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.644e+05, tolerance: 4.133e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-12    7902.145508\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250212', 'dataStatus': 'add', 'dataValue': 7902.15}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250213\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.711e+05, tolerance: 4.105e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-13    8001.087891\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250213', 'dataStatus': 'add', 'dataValue': 8001.09}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250214\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.949e+05, tolerance: 4.129e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-14    8032.705566\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250214', 'dataStatus': 'add', 'dataValue': 8032.71}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250215\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.966e+05, tolerance: 4.129e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-15    8040.26709\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250215', 'dataStatus': 'add', 'dataValue': 8040.27}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250216\n",
-      "{'dataDate': '20250216', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.442e+05, tolerance: 4.138e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-16    8044.537109\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250216', 'dataStatus': 'add', 'dataValue': 8044.54}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250217\n",
-      "{'dataDate': '20250217', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.555e+05, tolerance: 4.072e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-17    7998.32373\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250217', 'dataStatus': 'add', 'dataValue': 7998.32}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n",
-      "20250218\n",
-      "{'dataDate': '20250218', 'dataItemNo': 'C01100047|TURNOVER'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:280: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "d:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:631: ConvergenceWarning:\n",
-      "\n",
-      "Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.680e+05, tolerance: 4.121e+04\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using matplotlib backend: QtAgg\n",
-      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
-      "Populating the interactive namespace from numpy and matplotlib\n",
-      "Fitting 3 folds for each of 180 candidates, totalling 540 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:233: UserWarning:\n",
-      "\n",
-      "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",
-      "\n",
-      "C:\\Users\\EDY\\AppData\\Local\\Temp\\ipykernel_21000\\3095856616.py:263: FutureWarning:\n",
-      "\n",
-      "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",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date\n",
-      "2025-02-18    7988.078125\n",
-      "Name: 日度预测价格, dtype: float32\n",
-      "{'funcModule': '数据表信息列表', 'funcOperation': '新增', 'data': [{'dataItemNo': 'C01100047|FORECAST_PRICE', 'dataDate': '20250218', 'dataStatus': 'add', 'dataValue': 7988.08}]}\n",
-      "{\"confirmFlg\":false,\"status\":true}\n"
+      "2025-04-08    6302.519043\n",
+      "Name: 日度预测价格, dtype: float32\n"
      ]
     }
    ],
    "source": [
-    "from datetime import datetime, timedelta\n",
+    "# # 自定义日期执行预测\n",
     "\n",
-    "start_date = datetime(2025, 2, 1)\n",
-    "end_date = datetime(2025, 2, 19)\n",
+    "# start_date = datetime(2025, 4, 8)\n",
+    "# end_date = datetime(2025, 4, 9)\n",
     "\n",
-    "while start_date < end_date:\n",
-    "    print(start_date.strftime('%Y%m%d'))\n",
-    "    start(start_date)\n",
-    "    # time.sleep(2)\n",
-    "    # start_1(start_date)\n",
-    "    start_date += timedelta(days=1)"
+    "# token = get_head_auth()\n",
+    "# token_push = get_head_push_auth()\n",
+    "# while start_date < end_date:\n",
+    "#     print(start_date.strftime('%Y%m%d'))\n",
+    "#     start(start_date,token,token_push)\n",
+    "#     time.sleep(2)\n",
+    "#     # start_1(start_date)\n",
+    "#     start_date += timedelta(days=1)"
    ]
   },
   {
@@ -1783,7 +921,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -1797,7 +935,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/aisenzhecode/石油苯/纯苯数据项.xls b/aisenzhecode/石油苯/纯苯数据项.xls
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