From 25225ce13607152f540ada91f27430137048f7ed Mon Sep 17 00:00:00 2001 From: panda <1415243231@qq.com> Date: Wed, 25 Mar 2026 09:34:48 +0800 Subject: [PATCH] =?UTF-8?q?=E7=BB=AD=E7=BA=A6=E4=BB=A3=E5=8A=9E=E5=8E=86?= =?UTF-8?q?=E5=8F=B2=E8=AE=B0=E5=BD=95=E8=BF=81=E7=A7=BB=20=E5=B1=95?= =?UTF-8?q?=E4=BC=9A=E7=BA=BF=E7=B4=A2=E7=99=BB=E8=AE=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- test/yida_xuyuedaiban_paifa.py | 1 + test/宜搭续约待办转简道云数据源.ipynb | 3545 ++++++++++++------- test/宜搭续约待办转简道云源数据新.py | 29 +- test/展会线索登记.py | 445 +++ test/新签创建数据.py | 53 + test/新签研发联调.ipynb | 208 ++ test/测试宜搭转简道云接口.py | 10 + test/续约待办简道云回传宜搭.py | 3 +- test/续约待办迁移简道云流程节点刷数据.ipynb | 727 +++- yd_api.py | 6 +- 10 files changed, 3647 insertions(+), 1380 deletions(-) create mode 100644 test/展会线索登记.py create mode 100644 test/新签创建数据.py create mode 100644 test/新签研发联调.ipynb create mode 100644 test/测试宜搭转简道云接口.py diff --git a/test/yida_xuyuedaiban_paifa.py b/test/yida_xuyuedaiban_paifa.py index 3ed922b..0c44bbd 100644 --- a/test/yida_xuyuedaiban_paifa.py +++ b/test/yida_xuyuedaiban_paifa.py @@ -401,6 +401,7 @@ try: ts = int(round(t * 1000)) randint = random.randint(100000000, 999999999) req = res_new['result'] + "|" + formData['textField_kuntp6fk'] + "|" + formData['textField_kuntp6fl']+ "|" + formData['employeeField_kykw5ege'] + "_" + str(ts) + "_" + str(randint) + # 实例ID|门ID|服务单号|专属运营顾问 str_en = des_encrypt(req) print(str_en.decode('utf-8')) req_new = str_en.decode('utf-8') diff --git a/test/宜搭续约待办转简道云数据源.ipynb b/test/宜搭续约待办转简道云数据源.ipynb index 7476ce8..c44244f 100644 --- a/test/宜搭续约待办转简道云数据源.ipynb +++ b/test/宜搭续约待办转简道云数据源.ipynb @@ -10,6 +10,7 @@ }, { "cell_type": "code", + "execution_count": 1, "id": "1974d0f55ce6f25d", "metadata": { "ExecuteTime": { @@ -17,209 +18,6 @@ "start_time": "2026-03-07T02:07:50.200065700Z" } }, - "source": [ - "import os\n", - "from datetime import datetime, timezone, timedelta\n", - "import pandas as pd\n", - "from holidays.countries import saint_martin as record\n", - "from tqdm import tqdm\n", - "import json\n", - "from yd_api import YDAPI\n", - "from api import API\n", - "import time\n", - "\n", - "output_dir = \"output\"\n", - "os.makedirs(output_dir, exist_ok=True)\n", - "\n", - "api_instance = API()\n", - "yd_api_instance = YDAPI()\n", - "\n", - "\n", - "def generate_monthly_ranges(start: str, end: str):\n", - " \"\"\"\n", - " 生成按自然月划分的时间段列表（左闭右开）\n", - " 例如: [('2025-11-01T00:00:00Z', '2025-12-01T00:00:00Z'), ...]\n", - " \"\"\"\n", - " start_dt = datetime.fromisoformat(start.replace(\"Z\", \"+00:00\"))\n", - " end_dt = datetime.fromisoformat(end.replace(\"Z\", \"+00:00\"))\n", - "\n", - " ranges = []\n", - " current = start_dt\n", - "\n", - " while current < end_dt:\n", - " # 下一个月的第一天\n", - " if current.month == 12:\n", - " next_month = current.replace(year=current.year + 1, month=1, day=1)\n", - " else:\n", - " next_month = current.replace(month=current.month + 1, day=1)\n", - " # 不超过 end_dt\n", - " segment_end = min(next_month, end_dt)\n", - " ranges.append((\n", - " current.strftime(\"%Y-%m-%dT00:00:00Z\"),\n", - " segment_end.strftime(\"%Y-%m-%dT00:00:00Z\")\n", - " ))\n", - " current = next_month\n", - "\n", - " return ranges\n", - "\n", - "\n", - "class GetYDData:\n", - "\n", - " def __init__(self):\n", - " self.FORMID = \"FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22\"\n", - " self.appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n", - " self.systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n", - "\n", - " # 第一段：2025-01-01 到 2025-11-01\n", - " # 定义 2025 全年范围（左闭右开）\n", - " start_time_full = \"2025-01-01T00:00:00Z\"\n", - " end_time_full = \"2026-01-01T00:00:00Z\" # 包含 2025-12-31\n", - "\n", - " # 按自然月拆分\n", - " self.time_ranges = generate_monthly_ranges(start_time_full, end_time_full)\n", - "\n", - " print(\"📅 计划拉取以下时间段（2025全年）：\")\n", - " for i, (s, e) in enumerate(self.time_ranges, 1):\n", - " print(f\" {i}. {s} → {e}\")\n", - "\n", - " def build_value_to_label_map(self, form_structure):\n", - " value_to_label_map = {}\n", - " fields = form_structure.get(\"result\", [])\n", - " for field in fields:\n", - " field_id = field.get(\"fieldId\")\n", - " component = field.get(\"componentName\")\n", - " props = field.get(\"props\", {})\n", - " data_source = props.get(\"dataSource\", [])\n", - "\n", - " if component in [\"SelectField\", \"RadioField\"] and data_source:\n", - " option_map = {}\n", - " for opt in data_source:\n", - " val = opt.get(\"value\")\n", - " if val is None:\n", - " continue\n", - " text_obj = opt.get(\"text\", {})\n", - " if isinstance(text_obj, dict):\n", - " zh_text = text_obj.get(\"zh_CN\")\n", - " if zh_text is None and \"value\" in text_obj:\n", - " raw = text_obj[\"value\"]\n", - " if isinstance(raw, str) and raw.startswith('\"') and raw.endswith('\"'):\n", - " zh_text = raw[1:-1]\n", - " else:\n", - " zh_text = str(val)\n", - " elif zh_text is None:\n", - " zh_text = str(val)\n", - " else:\n", - " zh_text = str(text_obj)\n", - " option_map[str(val)] = zh_text\n", - " if option_map:\n", - " value_to_label_map[field_id] = option_map\n", - " return value_to_label_map\n", - "\n", - " def convert_record_values(self, record, value_map):\n", - " converted = {}\n", - " for key, val in record.items():\n", - " if key in value_map and val is not None:\n", - " str_val = str(val)\n", - " converted[key] = value_map[key].get(str_val, val)\n", - " else:\n", - " converted[key] = val\n", - " return converted\n", - "\n", - " def fetch_records_in_range(self, token, start_time, end_time):\n", - " \"\"\"拉取指定时间范围内的所有记录\"\"\"\n", - " try:\n", - " first_page = yd_api_instance.read_processes_instances(\n", - " token=token,\n", - " formUuid=self.FORMID,\n", - " page=1,\n", - " n=100,\n", - " appType=self.appType,\n", - " systemToken=self.systemToken,\n", - " instanceStatus=\"\",\n", - " modifiedFromTimeGMT=start_time,\n", - " modifiedToTimeGMT=end_time,\n", - " )\n", - " except Exception as e:\n", - " print(f\"❌ 首页请求失败 ({start_time} ～ {end_time}): {e}\")\n", - " return []\n", - "\n", - " total_count = first_page.get(\"totalCount\", 0)\n", - " total_pages = (total_count // 100) + (1 if total_count % 100 else 0)\n", - " print(f\"📊 [{start_time[:10]} ～ {end_time[:10]}] 总记录数: {total_count}, 共 {total_pages} 页\")\n", - "\n", - " all_records = []\n", - " if total_count > 0:\n", - " all_records.extend(first_page.get(\"data\", []))\n", - " for page in tqdm(range(2, total_pages + 1), desc=f\"{start_time[:7]}\"):\n", - " try:\n", - " resp = yd_api_instance.read_processes_instances(\n", - " token=token,\n", - " formUuid=self.FORMID,\n", - " page=page,\n", - " n=100,\n", - " appType=self.appType,\n", - " systemToken=self.systemToken,\n", - " instanceStatus=\"\",\n", - " modifiedFromTimeGMT=start_time,\n", - " modifiedToTimeGMT=end_time,\n", - " )\n", - " page_data = resp.get(\"data\", [])\n", - " all_records.extend(page_data)\n", - " time.sleep(0.15) # 稍微增加间隔，更安全\n", - " except Exception as e:\n", - " print(f\"⚠️ 第 {page} 页失败 ({start_time[:10]}): {e}\")\n", - " continue\n", - " return all_records\n", - "\n", - " def main(self):\n", - " # Step 1: 获取表单结构\n", - " token = yd_api_instance.generateToken()\n", - " form_struct = yd_api_instance.get_form_structures(\n", - " token=token,\n", - " formUuid=self.FORMID\n", - " )\n", - " value_map = self.build_value_to_label_map(form_struct)\n", - " print(\"\\n✅ 表单选项映射构建完成\")\n", - "\n", - " # Step 2: 按时间段拉取\n", - " all_records = []\n", - " all_records_detils = []\n", - " for start_time, end_time in self.time_ranges:\n", - " print(f\"\\n⏳ 拉取: {start_time} → {end_time}\")\n", - " records = self.fetch_records_in_range(token, start_time, end_time)\n", - " all_records.extend(records)\n", - " try:\n", - " record_data = record.get(\"data\", [])\n", - " all_records_detils.extend(record_data)\n", - " except Exception as e:\n", - " continue\n", - "\n", - " print(f\"\\n📥 总共获取 {len(all_records)} 条流程实例\")\n", - "\n", - " # # Step 3: 转换 formData\n", - " converted_records = []\n", - " for inst in all_records:\n", - " form_data = inst.get(\"formData\", {})\n", - " converted = self.convert_record_values(form_data, value_map)\n", - " converted_records.append(converted)\n", - "\n", - " # Step 4: 保存\n", - " if all_records:\n", - " df = pd.DataFrame(all_records)\n", - " output_path = r\"D:\\Idea Project\\SaaS_V1.7\\\\test\\output\\converted_yd_data.csv\"\n", - " df.to_csv(output_path, index=False)\n", - "\n", - " df1 = pd.DataFrame(all_records_detils)\n", - " output_path1 = r\"D:\\Idea Project\\SaaS_V1.7\\\\test\\output\\converted_yd_data_detail.csv\"\n", - " df1.to_csv(output_path1, index=False)\n", - " print(f\"\\n✅ 成功保存 {len(all_records)} 条记录至: {output_path}\")\n", - " else:\n", - " print(\"\\n❌ 无有效数据\")\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " GetYDData().main()" - ], "outputs": [ { "name": "stdout", @@ -439,7 +237,209 @@ ] } ], - "execution_count": 1 + "source": [ + "import os\n", + "from datetime import datetime, timezone, timedelta\n", + "import pandas as pd\n", + "from holidays.countries import saint_martin as record\n", + "from tqdm import tqdm\n", + "import json\n", + "from yd_api import YDAPI\n", + "from api import API\n", + "import time\n", + "\n", + "output_dir = \"output\"\n", + "os.makedirs(output_dir, exist_ok=True)\n", + "\n", + "api_instance = API()\n", + "yd_api_instance = YDAPI()\n", + "\n", + "\n", + "def generate_monthly_ranges(start: str, end: str):\n", + " \"\"\"\n", + " 生成按自然月划分的时间段列表（左闭右开）\n", + " 例如: [('2025-11-01T00:00:00Z', '2025-12-01T00:00:00Z'), ...]\n", + " \"\"\"\n", + " start_dt = datetime.fromisoformat(start.replace(\"Z\", \"+00:00\"))\n", + " end_dt = datetime.fromisoformat(end.replace(\"Z\", \"+00:00\"))\n", + "\n", + " ranges = []\n", + " current = start_dt\n", + "\n", + " while current < end_dt:\n", + " # 下一个月的第一天\n", + " if current.month == 12:\n", + " next_month = current.replace(year=current.year + 1, month=1, day=1)\n", + " else:\n", + " next_month = current.replace(month=current.month + 1, day=1)\n", + " # 不超过 end_dt\n", + " segment_end = min(next_month, end_dt)\n", + " ranges.append((\n", + " current.strftime(\"%Y-%m-%dT00:00:00Z\"),\n", + " segment_end.strftime(\"%Y-%m-%dT00:00:00Z\")\n", + " ))\n", + " current = next_month\n", + "\n", + " return ranges\n", + "\n", + "\n", + "class GetYDData:\n", + "\n", + " def __init__(self):\n", + " self.FORMID = \"FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22\"\n", + " self.appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n", + " self.systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n", + "\n", + " # 第一段：2025-01-01 到 2025-11-01\n", + " # 定义 2025 全年范围（左闭右开）\n", + " start_time_full = \"2025-01-01T00:00:00Z\"\n", + " end_time_full = \"2026-01-01T00:00:00Z\" # 包含 2025-12-31\n", + "\n", + " # 按自然月拆分\n", + " self.time_ranges = generate_monthly_ranges(start_time_full, end_time_full)\n", + "\n", + " print(\"📅 计划拉取以下时间段（2025全年）：\")\n", + " for i, (s, e) in enumerate(self.time_ranges, 1):\n", + " print(f\" {i}. {s} → {e}\")\n", + "\n", + " def build_value_to_label_map(self, form_structure):\n", + " value_to_label_map = {}\n", + " fields = form_structure.get(\"result\", [])\n", + " for field in fields:\n", + " field_id = field.get(\"fieldId\")\n", + " component = field.get(\"componentName\")\n", + " props = field.get(\"props\", {})\n", + " data_source = props.get(\"dataSource\", [])\n", + "\n", + " if component in [\"SelectField\", \"RadioField\"] and data_source:\n", + " option_map = {}\n", + " for opt in data_source:\n", + " val = opt.get(\"value\")\n", + " if val is None:\n", + " continue\n", + " text_obj = opt.get(\"text\", {})\n", + " if isinstance(text_obj, dict):\n", + " zh_text = text_obj.get(\"zh_CN\")\n", + " if zh_text is None and \"value\" in text_obj:\n", + " raw = text_obj[\"value\"]\n", + " if isinstance(raw, str) and raw.startswith('\"') and raw.endswith('\"'):\n", + " zh_text = raw[1:-1]\n", + " else:\n", + " zh_text = str(val)\n", + " elif zh_text is None:\n", + " zh_text = str(val)\n", + " else:\n", + " zh_text = str(text_obj)\n", + " option_map[str(val)] = zh_text\n", + " if option_map:\n", + " value_to_label_map[field_id] = option_map\n", + " return value_to_label_map\n", + "\n", + " def convert_record_values(self, record, value_map):\n", + " converted = {}\n", + " for key, val in record.items():\n", + " if key in value_map and val is not None:\n", + " str_val = str(val)\n", + " converted[key] = value_map[key].get(str_val, val)\n", + " else:\n", + " converted[key] = val\n", + " return converted\n", + "\n", + " def fetch_records_in_range(self, token, start_time, end_time):\n", + " \"\"\"拉取指定时间范围内的所有记录\"\"\"\n", + " try:\n", + " first_page = yd_api_instance.read_processes_instances(\n", + " token=token,\n", + " formUuid=self.FORMID,\n", + " page=1,\n", + " n=100,\n", + " appType=self.appType,\n", + " systemToken=self.systemToken,\n", + " instanceStatus=\"\",\n", + " modifiedFromTimeGMT=start_time,\n", + " modifiedToTimeGMT=end_time,\n", + " )\n", + " except Exception as e:\n", + " print(f\"❌ 首页请求失败 ({start_time} ～ {end_time}): {e}\")\n", + " return []\n", + "\n", + " total_count = first_page.get(\"totalCount\", 0)\n", + " total_pages = (total_count // 100) + (1 if total_count % 100 else 0)\n", + " print(f\"📊 [{start_time[:10]} ～ {end_time[:10]}] 总记录数: {total_count}, 共 {total_pages} 页\")\n", + "\n", + " all_records = []\n", + " if total_count > 0:\n", + " all_records.extend(first_page.get(\"data\", []))\n", + " for page in tqdm(range(2, total_pages + 1), desc=f\"{start_time[:7]}\"):\n", + " try:\n", + " resp = yd_api_instance.read_processes_instances(\n", + " token=token,\n", + " formUuid=self.FORMID,\n", + " page=page,\n", + " n=100,\n", + " appType=self.appType,\n", + " systemToken=self.systemToken,\n", + " instanceStatus=\"\",\n", + " modifiedFromTimeGMT=start_time,\n", + " modifiedToTimeGMT=end_time,\n", + " )\n", + " page_data = resp.get(\"data\", [])\n", + " all_records.extend(page_data)\n", + " time.sleep(0.15) # 稍微增加间隔，更安全\n", + " except Exception as e:\n", + " print(f\"⚠️ 第 {page} 页失败 ({start_time[:10]}): {e}\")\n", + " continue\n", + " return all_records\n", + "\n", + " def main(self):\n", + " # Step 1: 获取表单结构\n", + " token = yd_api_instance.generateToken()\n", + " form_struct = yd_api_instance.get_form_structures(\n", + " token=token,\n", + " formUuid=self.FORMID\n", + " )\n", + " value_map = self.build_value_to_label_map(form_struct)\n", + " print(\"\\n✅ 表单选项映射构建完成\")\n", + "\n", + " # Step 2: 按时间段拉取\n", + " all_records = []\n", + " all_records_detils = []\n", + " for start_time, end_time in self.time_ranges:\n", + " print(f\"\\n⏳ 拉取: {start_time} → {end_time}\")\n", + " records = self.fetch_records_in_range(token, start_time, end_time)\n", + " all_records.extend(records)\n", + " try:\n", + " record_data = record.get(\"data\", [])\n", + " all_records_detils.extend(record_data)\n", + " except Exception as e:\n", + " continue\n", + "\n", + " print(f\"\\n📥 总共获取 {len(all_records)} 条流程实例\")\n", + "\n", + " # # Step 3: 转换 formData\n", + " converted_records = []\n", + " for inst in all_records:\n", + " form_data = inst.get(\"formData\", {})\n", + " converted = self.convert_record_values(form_data, value_map)\n", + " converted_records.append(converted)\n", + "\n", + " # Step 4: 保存\n", + " if all_records:\n", + " df = pd.DataFrame(all_records)\n", + " output_path = r\"D:\\Idea Project\\SaaS_V1.7\\\\test\\output\\converted_yd_data2.csv\"\n", + " df.to_csv(output_path, index=False)\n", + "\n", + " df1 = pd.DataFrame(all_records_detils)\n", + " output_path1 = r\"D:\\Idea Project\\SaaS_V1.7\\\\test\\output\\converted_yd_data_detail.csv\"\n", + " df1.to_csv(output_path1, index=False)\n", + " print(f\"\\n✅ 成功保存 {len(all_records)} 条记录至: {output_path}\")\n", + " else:\n", + " print(\"\\n❌ 无有效数据\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " GetYDData().main()" + ] }, { "cell_type": "markdown", @@ -451,14 +451,35 @@ }, { "cell_type": "code", + "execution_count": 2, "id": "initial_id", "metadata": { - "collapsed": true, "ExecuteTime": { "end_time": "2026-03-07T02:13:19.667082200Z", "start_time": "2026-03-07T02:13:10.345087100Z" - } + }, + "collapsed": true }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sample of 'data' column:\n", + "'{\\'employeeField_ljz6416i_id\\': [\\'032861373036352679\\', \\'1253235059942945\\'], \\'textField_kuj8nx00\\': \\'山东省\\', \\'selectField_kuz7mfmd\\': \\'E.L\\', \\'textField_kuj8nx01\\': \\'菏泽市\\', \\'employeeField_ks\n", + "Detected string format, parsing with ast.literal_eval...\n", + "✅ Deduplicated data saved to 'deduplicated_expanded_yd_data.csv'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_21116\\146487860.py:112: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " deduplicated_df = new_df.groupby('textField_ksydghqw').apply(latest_modified_time).reset_index(drop=True)\n" + ] + } + ], "source": [ "import sys\n", "import os\n", @@ -481,7 +502,7 @@ "api_instance = API()\n", "yd_api_instance = YDAPI()\n", "\n", - "df = pd.read_csv(r\"D:\\Idea Project\\SaaS_V1.7\\\\test\\output\\converted_yd_data.csv\").astype(str)\n", + "df = pd.read_csv(r\"D:\\Idea Project\\SaaS_V1.7\\\\test\\output\\converted_yd_data2.csv\").astype(str)\n", "# df = df[df[\"instanceStatus\"] == \"RUNNING\"]\n", "\n", "# 检查 data 列的第一个非空值类型\n", @@ -578,31 +599,155 @@ "deduplicated_df['modifiedTimeGMT'] = deduplicated_df['modifiedTimeGMT'].astype(str)\n", "\n", "# 保存去重后的数据到新的 CSV 文件\n", - "deduplicated_df.to_csv(\"D:\\\\Idea Project\\\\SaaS_V1.7\\\\test\\\\output\\\\expanded_yd_data.csv\", index=False,\n", + "deduplicated_df.to_csv(\"D:\\\\Idea Project\\\\SaaS_V1.7\\\\test\\\\output\\\\expanded_yd_data2.csv\", index=False,\n", " encoding='utf-8-sig')\n", "print(\"✅ Deduplicated data saved to 'deduplicated_expanded_yd_data.csv'\")" - ], + ] + }, + { + "cell_type": "markdown", + "id": "manual_fetch_header", + "metadata": {}, + "source": [ + "### 手动过滤数据获取" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "manual_fetch_code", + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Sample of 'data' column:\n", - "'{\\'employeeField_ljz6416i_id\\': [\\'032861373036352679\\', \\'1253235059942945\\'], \\'textField_kuj8nx00\\': \\'山东省\\', \\'selectField_kuz7mfmd\\': \\'E.L\\', \\'textField_kuj8nx01\\': \\'菏泽市\\', \\'employeeField_ks\n", - "Detected string format, parsing with ast.literal_eval...\n", - "✅ Deduplicated data saved to 'deduplicated_expanded_yd_data.csv'\n" + "找到 1404 个唯一实例 ID\n", + "⏳ 正在通过实例 ID 检索流程 ID...\n", + "❌ 批次 1 检索失败: YDAPI.read_processes_instances() got an unexpected keyword argument 'instanceIdList'\n", + "❌ 批次 2 检索失败: YDAPI.read_processes_instances() got an unexpected keyword argument 'instanceIdList'\n", + "❌ 批次 3 检索失败: YDAPI.read_processes_instances() got an unexpected keyword argument 'instanceIdList'\n", + "❌ 批次 4 检索失败: YDAPI.read_processes_instances() got an unexpected keyword argument 'instanceIdList'\n", + "❌ 批次 5 检索失败: YDAPI.read_processes_instances() got an unexpected keyword argument 'instanceIdList'\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_21116\\146487860.py:112: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - " deduplicated_df = new_df.groupby('textField_ksydghqw').apply(latest_modified_time).reset_index(drop=True)\n" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001B[31m---------------------------------------------------------------------------\u001B[39m", + "\u001B[31mKeyboardInterrupt\u001B[39m Traceback (most recent call last)", + "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[7]\u001B[39m\u001B[32m, line 54\u001B[39m\n\u001B[32m 52\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 53\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33m❌ 批次 \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mi//batch_size\u001B[38;5;250m \u001B[39m+\u001B[38;5;250m \u001B[39m\u001B[32m1\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m 检索失败: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00me\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n\u001B[32m---> \u001B[39m\u001B[32m54\u001B[39m \u001B[43mtime\u001B[49m\u001B[43m.\u001B[49m\u001B[43msleep\u001B[49m\u001B[43m(\u001B[49m\u001B[32;43m0.5\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m 56\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33m✅ 成功匹配 \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mlen\u001B[39m(id_mapping)\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m 个流程 ID\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m 58\u001B[39m \u001B[38;5;66;03m# Step B: 根据流程 ID 获取完整详情数据\u001B[39;00m\n", + "\u001B[31mKeyboardInterrupt\u001B[39m: " ] } ], - "execution_count": 2 + "source": [ + "import pandas as pd\n", + "from tqdm import tqdm\n", + "from yd_api import YDAPI\n", + "import json\n", + "import time\n", + "\n", + "# 1. 读取 Excel 文件中的实例 ID\n", + "excel_path = r\"D:\\Idea Project\\SaaS_V1.7\\test\\output\\门店分析新.xlsx\"\n", + "sheet_name = \"新建\"\n", + "df_manual = pd.read_excel(excel_path, sheet_name=sheet_name)\n", + "instance_ids = df_manual['实例ID'].dropna().unique().tolist()\n", + "\n", + "print(f\"找到 {len(instance_ids)} 个唯一实例 ID\")\n", + "\n", + "# 2. 初始化 API\n", + "yd_api_instance = YDAPI()\n", + "token = yd_api_instance.generateToken()\n", + "formUuid = \"FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22\"\n", + "appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n", + "systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n", + "\n", + "# 3. 分步获取完整数据\n", + "all_full_data = []\n", + "\n", + "# Step A: 根据实例 ID (formInstanceId) 获取流程 ID (processInstanceId)\n", + "# 我们分批次获取，每批 50 个\n", + "batch_size = 50\n", + "id_mapping = {} # formInstanceId -> processInstanceId\n", + "\n", + "print(\"⏳ 正在通过实例 ID 检索流程 ID...\")\n", + "for i in range(0, len(instance_ids), batch_size):\n", + " batch_ids = instance_ids[i:i+batch_size]\n", + " try:\n", + " # 调用 read_processes_instances 并传入 instanceIdList\n", + " resp = yd_api_instance.read_processes_instances(\n", + " token=token,\n", + " formUuid=formUuid,\n", + " page=1,\n", + " n=batch_size,\n", + " appType=appType,\n", + " systemToken=systemToken,\n", + " instanceStatus=\"\", # 包含所有状态\n", + " instanceIdList=batch_ids\n", + " )\n", + " \n", + " if resp and 'data' in resp:\n", + " for item in resp['data']:\n", + " f_id = item.get('formInstanceId')\n", + " p_id = item.get('processInstanceId')\n", + " if f_id and p_id:\n", + " id_mapping[f_id] = p_id\n", + " except Exception as e:\n", + " print(f\"❌ 批次 {i//batch_size + 1} 检索失败: {e}\")\n", + " time.sleep(0.5)\n", + "\n", + "print(f\"✅ 成功匹配 {len(id_mapping)} 个流程 ID\")\n", + "\n", + "# Step B: 根据流程 ID 获取完整详情数据\n", + "if id_mapping:\n", + " for f_id, p_id in tqdm(id_mapping.items(), desc=\"获取宜搭详情\"):\n", + " try:\n", + " # 使用 V2 接口获取详情\n", + " resp = yd_api_instance.processes_instancesInfos(token, p_id, appType, systemToken)\n", + " if resp and resp.get('success'):\n", + " data = resp.get('data', {})\n", + " # 确保包含 instanceStatus 和 formInstanceId，以对齐格式\n", + " if 'instanceStatus' not in data and 'processInstanceStatus' in data:\n", + " data['instanceStatus'] = data['processInstanceStatus']\n", + " all_full_data.append(data)\n", + " else:\n", + " print(f\"⚠️ 实例 {f_id} 详情请求不成功: {resp.get('message') if resp else 'No response'}\")\n", + " except Exception as e:\n", + " print(f\"❌ 获取实例 {f_id} 详情失败: {e}\")\n", + " time.sleep(0.2)\n", + "else:\n", + " print(\"❌ 未能从实例ID匹配到任何流程ID，无法继续获取详情。\")\n", + "\n", + "\n", + "# 4. 转换为与 expanded_yd_data2.csv 一致的格式\n", + "if all_full_data:\n", + " df_full = pd.DataFrame(all_full_data)\n", + " \n", + " # 模拟 cell 2 的展开过程\n", + " # 在 processes_instancesInfos 返回的 data 中，formData 就在 'formData' 键下\n", + " expanded = pd.json_normalize(df_full['formData'])\n", + " \n", + " # 获取其他列（基础信息）\n", + " # 常见的列：instanceStatus, formInstanceId, createTimeGMT, modifiedTimeGMT, processInstanceId\n", + " base_cols = ['instanceStatus', 'formInstanceId', 'createTimeGMT', 'modifiedTimeGMT', 'processInstanceId']\n", + " other_cols = df_full[[c for c in base_cols if c in df_full.columns]]\n", + " \n", + " # 合并\n", + " manual_expanded_df = pd.concat([other_cols.reset_index(drop=True), expanded.reset_index(drop=True)], axis=1)\n", + "\n", + " # 保存结果\n", + " output_path = r\"D:\\Idea Project\\SaaS_V1.7\\test\\output\\expanded_yd_data2.csv\"\n", + " manual_expanded_df.to_csv(output_path, index=False, encoding='utf-8-sig')\n", + " print(f\"\\n✅ 手动过滤数据已保存至: {output_path}\")\n", + " \n", + " # 更新全局变量 deduplicated_df 供后续单元格使用\n", + " deduplicated_df = manual_expanded_df\n", + "else:\n", + " print(\"❌ 未获取到任何有效数据\")\n" + ] }, { "cell_type": "markdown", @@ -617,8 +762,8 @@ "id": "475a2fcbd8c1760d", "metadata": { "ExecuteTime": { - "end_time": "2026-03-07T02:38:17.053921800Z", - "start_time": "2026-03-07T02:30:49.717183400Z" + "end_time": "2026-03-24T08:57:26.115701Z", + "start_time": "2026-03-24T08:47:26.936053200Z" } }, "source": [ @@ -651,17 +796,13 @@ " \"\"\"\n", " try:\n", " # 1. 从 CSV 文件中读取门店编码\n", - " csv_path = r\"D:\\Idea Project\\SaaS_V1.7\\test\\output\\expanded_yd_data.csv\"\n", - " if not os.path.exists(csv_path):\n", - " error_task_logger.error(f\"CSV 文件不存在: {csv_path}\")\n", - " return pd.DataFrame()\n", + " # csv_path = r\"D:\\Idea Project\\SaaS_V1.7\\test\\output\\expanded_yd_data.csv\"\n", + " excel_path = r\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\门店分析新.xlsx\"\n", "\n", - " store_df = pd.read_csv(csv_path, dtype=str)\n", - " if \"textField_ksydghqw\" not in store_df.columns:\n", - " error_task_logger.error(\"CSV 文件中缺少列 'textField_ksydghqw'\")\n", - " return pd.DataFrame()\n", + " store_df1 = pd.read_excel(excel_path,sheet_name=\"新建\").astype(str)\n", "\n", - " store_codes = set(store_df[\"textField_ksydghqw\"].dropna().unique()) # 转为 set 提升查找效率\n", + " # store_codes = set(store_df[\"textField_ksydghqw\"].dropna().unique()) # 转为 set 提升查找效率\n", + " store_codes = set(store_df1[\"门店编码\"].dropna().unique()) # 转为 set 提升查找效率\n", " if not store_codes:\n", " error_task_logger.warning(\"CSV 中未找到有效的门店编码\")\n", " return pd.DataFrame()\n", @@ -1306,11 +1447,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "<>:209: SyntaxWarning: invalid escape sequence '\\d'\n", - "<>:209: SyntaxWarning: invalid escape sequence '\\d'\n", - "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_21116\\391283085.py:209: SyntaxWarning: invalid escape sequence '\\d'\n", + "<>:205: SyntaxWarning: invalid escape sequence '\\d'\n", + "<>:205: SyntaxWarning: invalid escape sequence '\\d'\n", + "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_26500\\3189448271.py:205: SyntaxWarning: invalid escape sequence '\\d'\n", " self.data_NGV.to_csv(\"D:\\\\Idea Project\\\\SaaS_V1.7\\\\test\\\\output\\data_NGV1.csv\")\n", - "\u001B[92m2026-03-07 10:30:49,777 - 391283085.py - task_logger - INFO - 任务开始\u001B[0m\n" + "\u001B[92m2026-03-24 16:47:27,007 - 3189448271.py - task_logger - INFO - 任务开始\u001B[0m\n" ] }, { @@ -1790,20 +1931,7 @@ "已获取 42390 条数据\n", "已获取 42480 条数据\n", "已获取 42570 条数据\n", - "已获取 42660 条数据\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001B[93m2026-03-07 10:36:15,862 - api.py - task_logger - WARNING - 请求异常: HTTPSConnectionPool(host='api.jiandaoyun.com', port=443): Read timed out. (read timeout=10), 将重新请求,None\u001B[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "已获取 42660 条数据\n", "已获取 42750 条数据\n", "已获取 42840 条数据\n", "已获取 42930 条数据\n", @@ -1817,14 +1945,17 @@ "已获取 43650 条数据\n", "已获取 43740 条数据\n", "已获取 43830 条数据\n", - "已获取 43897 条数据\n" + "已获取 43920 条数据\n", + "已获取 44010 条数据\n", + "已获取 44100 条数据\n", + "已获取 44167 条数据\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[92m2026-03-07 10:36:24,451 - api.py - task_logger - INFO - 获取了43897条数据\u001B[0m\n" + "\u001B[92m2026-03-24 16:53:40,063 - api.py - task_logger - INFO - 获取了44167条数据\u001B[0m\n" ] }, { @@ -1839,7 +1970,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001B[92m2026-03-07 10:36:25,696 - api.py - task_logger - INFO - 获取了155条数据\u001B[0m\n" + "\u001B[92m2026-03-24 16:53:41,305 - api.py - task_logger - INFO - 获取了155条数据\u001B[0m\n" ] }, { @@ -1893,7 +2024,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001B[92m2026-03-07 10:36:53,358 - api.py - task_logger - INFO - 获取了3671条数据\u001B[0m\n" + "\u001B[92m2026-03-24 16:54:04,476 - api.py - task_logger - INFO - 获取了3671条数据\u001B[0m\n" ] }, { @@ -1935,622 +2066,1426 @@ "已获取 2970 条数据\n", "已获取 3060 条数据\n", "已获取 3150 条数据\n", - "已获取 3236 条数据\n" + "已获取 3240 条数据\n", + "已获取 3330 条数据\n", + "已获取 3420 条数据\n", + "已获取 3510 条数据\n", + "已获取 3600 条数据\n", + "已获取 3690 条数据\n", + "已获取 3780 条数据\n", + "已获取 3870 条数据\n", + "已获取 3960 条数据\n", + "已获取 4050 条数据\n", + "已获取 4140 条数据\n", + "已获取 4230 条数据\n", + "已获取 4320 条数据\n", + "已获取 4321 条数据\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[92m2026-03-07 10:37:23,749 - api.py - task_logger - INFO - 获取了3236条数据\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:23,751 - 391283085.py - task_logger - INFO - 加载数据完成\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,003 - 391283085.py - task_logger - INFO - 已存在 0 条进行中的续约待办，将跳过这些门店\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,274 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS201705031605 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,277 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504170296249 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,280 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202101300115005 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,282 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202105200125722 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,285 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202204230174883 派发给客服: 1824534815658365\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,287 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS201801172220 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,290 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504090295524 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:25,292 - 391283085.py - task_logger - INFO - 【派发客服】门店 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"\u001B[92m2026-03-07 10:37:26,562 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503120293110 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,564 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503150293430 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,566 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503140293355 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,568 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503140293329 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,569 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503140293332 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,571 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503150293441 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,574 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503180293626 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,576 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503180293649 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,579 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503200293901 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,582 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503200293839 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,584 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503200293847 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,586 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503210293920 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,588 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503240294251 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,590 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503220294072 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,593 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503250294335 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,595 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503290294708 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,597 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504010294920 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,600 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503270294543 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,601 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503290294732 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,603 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504010294923 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,605 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504010295041 派发给客服: 1824534815658365\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,607 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503300294793 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,609 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504010294987 派发给客服: 1824534815658365\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,611 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504010295004 派发给客服: 084119070623372941\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,613 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503270294496 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,615 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202503270294577 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,617 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504030295167 派发给客服: 1824534815658365\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,620 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504050295241 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,622 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504050295246 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,625 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504050295245 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,628 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504060295290 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,629 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504110295742 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,631 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504120295849 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,633 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504120295848 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,637 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504140295948 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,640 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504140295952 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,643 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504180296282 派发给客服: 224616673723465569\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,646 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504160296146 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,648 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504250297356 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,651 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504260297370 派发给客服: 171201105229666119\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,654 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504280297555 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,656 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504280297554 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,658 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202504280297549 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,661 - 391283085.py - task_logger - INFO - 【派发客服】门店 CHS202511240313439 派发给客服: 064100296032290698\u001B[0m\n", - "\u001B[92m2026-03-07 10:37:26,675 - api.py - task_logger - INFO - 多数据写入行数: 598\u001B[0m\n", - "\u001B[92m2026-03-07 10:38:16,818 - 391283085.py - task_logger - INFO - 已提交 598 条数据进行派发\u001B[0m\n", - "\u001B[92m2026-03-07 10:38:16,833 - 391283085.py - task_logger - INFO - ✅ 测试模式：已生成待派发数据 598 条，保存至 output\\pending_renewal_tasks.csv\u001B[0m\n", - "\u001B[93m2026-03-07 10:38:16,839 - 391283085.py - task_logger - WARNING - ⚠️ 3 条记录缺失区域客服，已保存至 output\\missing_customer_service.csv\u001B[0m\n" + "\u001B[92m2026-03-24 16:54:35,689 - api.py - task_logger - INFO - 获取了4321条数据\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:35,691 - 3189448271.py - task_logger - INFO - 加载数据完成\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:38,715 - 3189448271.py - task_logger - INFO - 已存在 0 条进行中的续约待办，将跳过这些门店\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,277 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201703071168 派发给客服: 171201105229666119\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,281 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201706221712 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,284 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201706261725 派发给客服: 245308451136546029\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,287 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201707011739 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,291 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201708051820 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,295 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202203020171664 派发给客服: 224616673723465569\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:39,297 - 3189448271.py - task_logger - INFO 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245308451136546029\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,072 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504190296391 派发给客服: 245308451136546029\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,075 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504230297115 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,078 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504230297136 派发给客服: 245308451136546029\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,082 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504220297075 派发给客服: 084119070623372941\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,085 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504240297172 派发给客服: 084119070623372941\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,088 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504240297195 派发给客服: 245308451136546029\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,092 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504220296666 派发给客服: 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224616673723465569\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,120 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504250297326 派发给客服: 064100296032290698\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,123 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504280297550 派发给客服: 084119070623372941\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,126 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202504300297644 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,129 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202507170304212 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,132 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202508270308720 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,135 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS202510270311479 派发给客服: 084119070623372941\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,139 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201511170220 派发给客服: 1824534815658365\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,143 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201601220306 派发给客服: 171201105229666119\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,148 - 3189448271.py - task_logger - INFO - 【派发客服】门店 CHS201603040319 派发给客服: 171201105229666119\u001B[0m\n", + "\u001B[92m2026-03-24 16:54:44,230 - api.py - task_logger - INFO - 多数据写入行数: 1389\u001B[0m\n", + "\u001B[92m2026-03-24 16:57:25,807 - 3189448271.py - task_logger - INFO - 已提交 1389 条数据进行派发\u001B[0m\n", + "\u001B[92m2026-03-24 16:57:25,858 - 3189448271.py - task_logger - INFO - ✅ 测试模式：已生成待派发数据 1389 条，保存至 output\\pending_renewal_tasks.csv\u001B[0m\n", + "\u001B[93m2026-03-24 16:57:25,868 - 3189448271.py - task_logger - WARNING - ⚠️ 2 条记录缺失区域客服，已保存至 output\\missing_customer_service.csv\u001B[0m\n" ] } ], - "execution_count": 5 + "execution_count": 4 }, { "cell_type": "markdown", @@ -2562,6 +3497,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "1a9d527c7026a96c", "metadata": { "ExecuteTime": { @@ -2569,6 +3505,53 @@ "start_time": "2026-03-07T07:16:51.108118300Z" } }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "df876668501646dea9f43dde5a9c713d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/604 [00:00 str | None:\n", - " \"\"\"清洗处理人字段（支持中文姓名），去除空白、不可见字符，过滤无效值\"\"\"\n", - " if not isinstance(raw, str):\n", - " return None\n", - " cleaned = (\n", - " raw\n", - " .replace('\\xa0', ' ')\n", - " .replace('\\u200b', '')\n", - " .replace('\\n', ' ')\n", - " .replace('\\r', ' ')\n", - " .strip()\n", - " )\n", - " if not cleaned or cleaned.lower() in ('nan', 'null', 'none', '', 'nat'):\n", - " return None\n", - " return cleaned\n", - "\n", - "\n", - "# 节点配置：need_df2 标记是否依赖 df2 中的列\n", - "NODE_CONFIG = {\n", - " \"120天联系情况\": {\n", - " \"handler_col\": \"120天处理人\",\n", - " \"auto_time_col\": \"120天自动流转时间\",\n", - " \"follow_time_col\": \"120天跟进时间\",\n", - " \"need_df2\": True\n", - " },\n", - " \"60天联系情况\": {\n", - " \"handler_col\": \"60天处理人\",\n", - " \"auto_time_col\": \"60天自动流转时间\",\n", - " \"follow_time_col\": \"60天跟进时间\",\n", - " \"need_df2\": True\n", - " },\n", - " \"30天联系情况\": {\n", - " \"handler_col\": \"30天处理人\",\n", - " \"auto_time_col\": \"30天自动流转时间\",\n", - " \"follow_time_col\": \"30天跟进时间\",\n", - " \"need_df2\": True\n", - " },\n", - " \"0天处理情况\": {\n", - " \"need_df2\": False # 不需要 df2 字段，直接同意一次结束\n", - " }\n", - "}\n", - "\n", - "# 当前日期（东八区）\n", - "tz = pytz.timezone('Asia/Shanghai')\n", - "today = datetime.now(tz).date()\n", - "\n", - "print(\"\\n=== 开始按中文姓名自动同意流程 ===\")\n", - "\n", - "for item in result_list:\n", - " store_code = item[\"store_code\"]\n", - " node_name = item[\"node_name\"]\n", - " data_id = item[\"data_id\"]\n", - "\n", - " if not data_id or data_id == 'nan':\n", - " print(f\"⚠️ {store_code} 无有效 data_id，跳过\")\n", - " continue\n", - "\n", - " if node_name not in NODE_CONFIG:\n", - " print(f\"❓ {store_code} 节点 '{node_name}' 无配置，跳过\")\n", - " continue\n", - "\n", - " config = NODE_CONFIG[node_name]\n", - " need_df2 = config.get(\"need_df2\", True)\n", - "\n", - " handler = None\n", - " auto_date = None\n", - " follow_not_empty = False\n", - "\n", - " # 如果需要从 df2 读取数据\n", - " if need_df2:\n", - " handler_col = config[\"handler_col\"]\n", - " auto_col = config[\"auto_time_col\"]\n", - " follow_col = config[\"follow_time_col\"]\n", - "\n", - " matched = df2[df2['门店编码'] == store_code]\n", - " if matched.empty:\n", - " print(f\"⚠️ {store_code} 在 df2 中未找到，跳过\")\n", - " continue\n", - " row = matched.iloc[0]\n", - "\n", - " # 安全获取处理人（防止 KeyError）\n", - " raw_handler = row.get(handler_col, None)\n", - " handler = clean_handler_name(raw_handler)\n", - " if not handler:\n", - " print(f\"ℹ️ {store_code} 未指定有效 {handler_col}，将使用默认任务\")\n", - "\n", - " # 解析自动流转时间\n", - " auto_time_str = str(row.get(auto_col, \"\")).strip()\n", - " follow_time_str = str(row.get(follow_col, \"\")).strip()\n", - "\n", - " if auto_time_str.lower() not in ('', 'nan', 'nat', 'null'):\n", - " try:\n", - " date_part = auto_time_str[:10]\n", - " auto_date = datetime.strptime(date_part, \"%Y-%m-%d\").date()\n", - " except Exception as e:\n", - " print(f\"❌ {store_code} 自动流转时间解析失败 ({auto_time_str}): {e}\")\n", - "\n", - " follow_not_empty = bool(\n", - " follow_time_str and follow_time_str.lower() not in ('', 'nan', 'nat', 'null')\n", - " )\n", - "\n", - " # === 判断是否需要执行同意操作 ===\n", - " approve_count = None\n", - " if node_name == \"120天联系情况\":\n", - " if (auto_date and today >= auto_date) or follow_not_empty:\n", - " approve_count = 1\n", - " else:\n", - " print(f\"🕒 {store_code} 未触发120天条件（今天 {today}，流转时间 {auto_date}），跳过\")\n", - " continue\n", - "\n", - " elif node_name == \"60天联系情况\":\n", - " if auto_date and today < auto_date and not follow_not_empty:\n", - " approve_count = 2\n", - " elif auto_date and today >= auto_date or follow_not_empty:\n", - " approve_count = 3\n", - " else:\n", - " print(f\"🕒 {store_code} 未触发60天条件（今天 {today}，流转时间 {auto_date}，已跟进={follow_not_empty}），跳过\")\n", - " continue\n", - "\n", - " elif node_name == \"30天联系情况\":\n", - " if auto_date and today < auto_date and not follow_not_empty:\n", - " approve_count = 4\n", - " elif auto_date and today >= auto_date or follow_not_empty:\n", - " approve_count = 5\n", - " else:\n", - " print(f\"🕒 {store_code} 未触发30天条件，跳过\")\n", - " continue\n", - "\n", - " elif node_name == \"0天处理情况\":\n", - " # 0天节点：无条件执行一次同意（用于收尾）\n", - " approve_count = 6\n", - "\n", - " item[\"approve_count\"] = approve_count\n", - "\n", - "result_df = pd.DataFrame(result_list)\n", - "result_df.to_csv(\"matched_store_node_data.csv\", index=False, encoding='utf-8-sig')" - ], - "id": "b2a3905466d569a1", "outputs": [ { "name": "stdout", @@ -14789,10 +15582,159 @@ ] } ], - "execution_count": 5 + "source": [ + "# ==============================\n", + "# 第二步：按中文姓名匹配处理人 + 默认取最后一个待办任务（支持 0 天收尾节点）\n", + "# ==============================\n", + "\n", + "import time\n", + "import json\n", + "from datetime import datetime\n", + "import pytz\n", + "import pandas as pd\n", + "\n", + "\n", + "def clean_handler_name(raw) -> str | None:\n", + " \"\"\"清洗处理人字段（支持中文姓名），去除空白、不可见字符，过滤无效值\"\"\"\n", + " if not isinstance(raw, str):\n", + " return None\n", + " cleaned = (\n", + " raw\n", + " .replace('\\xa0', ' ')\n", + " .replace('\\u200b', '')\n", + " .replace('\\n', ' ')\n", + " .replace('\\r', ' ')\n", + " .strip()\n", + " )\n", + " if not cleaned or cleaned.lower() in ('nan', 'null', 'none', '', 'nat'):\n", + " return None\n", + " return cleaned\n", + "\n", + "\n", + "# 节点配置：need_df2 标记是否依赖 df2 中的列\n", + "NODE_CONFIG = {\n", + " \"120天联系情况\": {\n", + " \"handler_col\": \"120天处理人\",\n", + " \"auto_time_col\": \"120天自动流转时间\",\n", + " \"follow_time_col\": \"120天跟进时间\",\n", + " \"need_df2\": True\n", + " },\n", + " \"60天联系情况\": {\n", + " \"handler_col\": \"60天处理人\",\n", + " \"auto_time_col\": \"60天自动流转时间\",\n", + " \"follow_time_col\": \"60天跟进时间\",\n", + " \"need_df2\": True\n", + " },\n", + " \"30天联系情况\": {\n", + " \"handler_col\": \"30天处理人\",\n", + " \"auto_time_col\": \"30天自动流转时间\",\n", + " \"follow_time_col\": \"30天跟进时间\",\n", + " \"need_df2\": True\n", + " },\n", + " \"0天处理情况\": {\n", + " \"need_df2\": False # 不需要 df2 字段，直接同意一次结束\n", + " }\n", + "}\n", + "\n", + "# 当前日期（东八区）\n", + "tz = pytz.timezone('Asia/Shanghai')\n", + "today = datetime.now(tz).date()\n", + "\n", + "print(\"\\n=== 开始按中文姓名自动同意流程 ===\")\n", + "\n", + "for item in result_list:\n", + " store_code = item[\"store_code\"]\n", + " node_name = item[\"node_name\"]\n", + " data_id = item[\"data_id\"]\n", + "\n", + " if not data_id or data_id == 'nan':\n", + " print(f\"⚠️ {store_code} 无有效 data_id，跳过\")\n", + " continue\n", + "\n", + " if node_name not in NODE_CONFIG:\n", + " print(f\"❓ {store_code} 节点 '{node_name}' 无配置，跳过\")\n", + " continue\n", + "\n", + " config = NODE_CONFIG[node_name]\n", + " need_df2 = config.get(\"need_df2\", True)\n", + "\n", + " handler = None\n", + " auto_date = None\n", + " follow_not_empty = False\n", + "\n", + " # 如果需要从 df2 读取数据\n", + " if need_df2:\n", + " handler_col = config[\"handler_col\"]\n", + " auto_col = config[\"auto_time_col\"]\n", + " follow_col = config[\"follow_time_col\"]\n", + "\n", + " matched = df2[df2['门店编码'] == store_code]\n", + " if matched.empty:\n", + " print(f\"⚠️ {store_code} 在 df2 中未找到，跳过\")\n", + " continue\n", + " row = matched.iloc[0]\n", + "\n", + " # 安全获取处理人（防止 KeyError）\n", + " raw_handler = row.get(handler_col, None)\n", + " handler = clean_handler_name(raw_handler)\n", + " if not handler:\n", + " print(f\"ℹ️ {store_code} 未指定有效 {handler_col}，将使用默认任务\")\n", + "\n", + " # 解析自动流转时间\n", + " auto_time_str = str(row.get(auto_col, \"\")).strip()\n", + " follow_time_str = str(row.get(follow_col, \"\")).strip()\n", + "\n", + " if auto_time_str.lower() not in ('', 'nan', 'nat', 'null'):\n", + " try:\n", + " date_part = auto_time_str[:10]\n", + " auto_date = datetime.strptime(date_part, \"%Y-%m-%d\").date()\n", + " except Exception as e:\n", + " print(f\"❌ {store_code} 自动流转时间解析失败 ({auto_time_str}): {e}\")\n", + "\n", + " follow_not_empty = bool(\n", + " follow_time_str and follow_time_str.lower() not in ('', 'nan', 'nat', 'null')\n", + " )\n", + "\n", + " # === 判断是否需要执行同意操作 ===\n", + " approve_count = None\n", + " if node_name == \"120天联系情况\":\n", + " if (auto_date and today >= auto_date) or follow_not_empty:\n", + " approve_count = 1\n", + " else:\n", + " print(f\"🕒 {store_code} 未触发120天条件（今天 {today}，流转时间 {auto_date}），跳过\")\n", + " continue\n", + "\n", + " elif node_name == \"60天联系情况\":\n", + " if auto_date and today < auto_date and not follow_not_empty:\n", + " approve_count = 2\n", + " elif auto_date and today >= auto_date or follow_not_empty:\n", + " approve_count = 3\n", + " else:\n", + " print(f\"🕒 {store_code} 未触发60天条件（今天 {today}，流转时间 {auto_date}，已跟进={follow_not_empty}），跳过\")\n", + " continue\n", + "\n", + " elif node_name == \"30天联系情况\":\n", + " if auto_date and today < auto_date and not follow_not_empty:\n", + " approve_count = 4\n", + " elif auto_date and today >= auto_date or follow_not_empty:\n", + " approve_count = 5\n", + " else:\n", + " print(f\"🕒 {store_code} 未触发30天条件，跳过\")\n", + " continue\n", + "\n", + " elif node_name == \"0天处理情况\":\n", + " # 0天节点：无条件执行一次同意（用于收尾）\n", + " approve_count = 6\n", + "\n", + " item[\"approve_count\"] = approve_count\n", + "\n", + "result_df = pd.DataFrame(result_list)\n", + "result_df.to_csv(\"matched_store_node_data.csv\", index=False, encoding='utf-8-sig')" + ] }, { "cell_type": "code", + "execution_count": 54, "id": "225c555eea66c886", "metadata": { "ExecuteTime": { @@ -14800,6 +15742,115 @@ "start_time": "2026-01-17T01:31:54.659398200Z" } }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== 开始按中文姓名自动同意流程 ===\n", + "⚠️ CHS111222333 无有效 data_id，跳过\n", + "ℹ️ CHS201511140211 未指定有效 120天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a5bd0d2134163270b0cc\", \"tasks_type\": 1}\n", + "ℹ️ CHS201511140211 无待办任务，跳过\n", + "ℹ️ CHS201511170220 未指定有效 120天处理人，将使用默认任务\n", + "🕒 CHS201511170220 未触发120天条件（今天 2026-01-17，流转时间 2026-02-07），跳过\n", + "ℹ️ CHS201512010248 未指定有效 120天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a5bd0d2134163270b0cd\", \"tasks_type\": 1}\n", + "ℹ️ CHS201512010248 无待办任务，跳过\n", + "ℹ️ CHS201512110264 未指定有效 30天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a5bd0d2134163270b0ce\", \"tasks_type\": 1}\n", + "ℹ️ CHS201512110264 无待办任务，跳过\n", + "ℹ️ CHS201512160271 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a5c23f0f35d656c182dd\", \"tasks_type\": 1}\n", + "ℹ️ CHS201512160271 无待办任务，跳过\n", + "ℹ️ CHS201610271058 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6847\", \"tasks_type\": 1}\n", + "🔄 CHS201610271058 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201610271058 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201610271058 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", + "📤 第 1/2 次提交 | task_id: 696a0c4c4ec45355c809020c | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "ℹ️ CHS201611151078 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6849\", \"tasks_type\": 1}\n", + "ℹ️ CHS201611151078 无待办任务，跳过\n", + "ℹ️ CHS201611151079 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6848\", \"tasks_type\": 1}\n", + "ℹ️ CHS201611151079 无待办任务，跳过\n", + "ℹ️ CHS201704061247 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b684f\", \"tasks_type\": 1}\n", + "🔄 CHS201704061247 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201704061247 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201704061247 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", + "📤 第 1/2 次提交 | task_id: 696a0c5082e8bbd1ce190859 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "ℹ️ CHS201705031605 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6850\", \"tasks_type\": 1}\n", + "🔄 CHS201705031605 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201705031605 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201705031605 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", + "📤 第 1/2 次提交 | task_id: 696a0c5359fc0f479f5abc3f | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "ℹ️ CHS201705071621 未指定有效 30天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6851\", \"tasks_type\": 1}\n", + "🔄 CHS201705071621 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201705071621 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201705071621 开始执行 5 次连续同意（从 30天联系情况 节点出发）...\n", + "📤 第 1/5 次提交 | task_id: 696a0c564ec45355c8090af0 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "ℹ️ CHS201705081623 未指定有效 30天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6852\", \"tasks_type\": 1}\n", + "🔄 CHS201705081623 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201705081623 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201705081623 开始执行 4 次连续同意（从 30天联系情况 节点出发）...\n", + "📤 第 1/4 次提交 | task_id: 696a0c67618594cca84c99f8 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "⚠️ CHS201705081625 无有效 data_id，跳过\n", + "ℹ️ CHS201706021685 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6846\", \"tasks_type\": 1}\n", + "🔄 CHS201706021685 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201706021685 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201706021685 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", + "📤 第 1/2 次提交 | task_id: 696a0c79d40d19aa189a7d91 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "ℹ️ CHS201706221712 未指定有效 120天处理人，将使用默认任务\n", + "🕒 CHS201706221712 未触发120天条件（今天 2026-01-17，流转时间 2026-02-07），跳过\n", + "ℹ️ CHS201706261721 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b6858\", \"tasks_type\": 1}\n", + "🔄 CHS201706261721 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", + "ℹ️ CHS201706261721 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", + "🚀 CHS201706261721 开始执行 3 次连续同意（从 60天联系情况 节点出发）...\n", + "📤 第 1/3 次提交 | task_id: 696a0c7b8e72b882db7435d2 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", + " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", + "ℹ️ CHS201707011739 未指定有效 120天处理人，将使用默认任务\n", + "🕒 CHS201707011739 未触发120天条件（今天 2026-01-17，流转时间 2026-02-10），跳过\n", + "ℹ️ CHS201707281800 未指定有效 60天处理人，将使用默认任务\n", + "payload: {\"instance_id\": \"6969a437522f552a560b685b\", \"tasks_type\": 1}\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001B[31m---------------------------------------------------------------------------\u001B[39m", + "\u001B[31mKeyboardInterrupt\u001B[39m Traceback (most recent call last)", + "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[54]\u001B[39m\u001B[32m, line 146\u001B[39m\n\u001B[32m 144\u001B[39m \u001B[38;5;66;03m# === 获取流程实例与待办任务 ===\u001B[39;00m\n\u001B[32m 145\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m146\u001B[39m instance_data = \u001B[43mapi_instance\u001B[49m\u001B[43m.\u001B[49m\u001B[43mworkflow_instance_get\u001B[49m\u001B[43m(\u001B[49m\u001B[43m{\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mdata_id\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m:\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata_id\u001B[49m\u001B[43m}\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 147\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 148\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33m❌ \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mstore_code\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m 获取流程实例失败: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00me\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Idea Project\\SaaS_V1.7\\api.py:572\u001B[39m, in \u001B[36mAPI.workflow_instance_get\u001B[39m\u001B[34m(data, max_retries)\u001B[39m\n\u001B[32m 570\u001B[39m \u001B[38;5;28;01mwhile\u001B[39;00m retries <= max_retries:\n\u001B[32m 571\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m572\u001B[39m res = \u001B[43mrequests\u001B[49m\u001B[43m.\u001B[49m\u001B[43mpost\u001B[49m\u001B[43m(\u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpayload\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m10\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m 573\u001B[39m \u001B[38;5;66;03m# res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常\u001B[39;00m\n\u001B[32m 574\u001B[39m data_get = res.json()\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\api.py:115\u001B[39m, in \u001B[36mpost\u001B[39m\u001B[34m(url, data, json, **kwargs)\u001B[39m\n\u001B[32m 103\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mpost\u001B[39m(url, data=\u001B[38;5;28;01mNone\u001B[39;00m, json=\u001B[38;5;28;01mNone\u001B[39;00m, **kwargs):\n\u001B[32m 104\u001B[39m \u001B[38;5;250m \u001B[39m\u001B[33mr\u001B[39m\u001B[33;03m\"\"\"Sends a POST request.\u001B[39;00m\n\u001B[32m 105\u001B[39m \n\u001B[32m 106\u001B[39m \u001B[33;03m :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[32m (...)\u001B[39m\u001B[32m 112\u001B[39m \u001B[33;03m :rtype: requests.Response\u001B[39;00m\n\u001B[32m 113\u001B[39m \u001B[33;03m \"\"\"\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m115\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mpost\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mjson\u001B[49m\u001B[43m=\u001B[49m\u001B[43mjson\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\api.py:59\u001B[39m, in \u001B[36mrequest\u001B[39m\u001B[34m(method, url, **kwargs)\u001B[39m\n\u001B[32m 55\u001B[39m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[32m 56\u001B[39m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[32m 57\u001B[39m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[32m 58\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m sessions.Session() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[32m---> \u001B[39m\u001B[32m59\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43msession\u001B[49m\u001B[43m.\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\sessions.py:589\u001B[39m, in \u001B[36mSession.request\u001B[39m\u001B[34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[39m\n\u001B[32m 584\u001B[39m send_kwargs = {\n\u001B[32m 585\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mtimeout\u001B[39m\u001B[33m\"\u001B[39m: timeout,\n\u001B[32m 586\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mallow_redirects\u001B[39m\u001B[33m\"\u001B[39m: allow_redirects,\n\u001B[32m 587\u001B[39m }\n\u001B[32m 588\u001B[39m send_kwargs.update(settings)\n\u001B[32m--> \u001B[39m\u001B[32m589\u001B[39m resp = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprep\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43msend_kwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 591\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\sessions.py:703\u001B[39m, in \u001B[36mSession.send\u001B[39m\u001B[34m(self, request, **kwargs)\u001B[39m\n\u001B[32m 700\u001B[39m start = preferred_clock()\n\u001B[32m 702\u001B[39m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m703\u001B[39m r = \u001B[43madapter\u001B[49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 705\u001B[39m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[32m 706\u001B[39m elapsed = preferred_clock() - start\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\adapters.py:644\u001B[39m, in \u001B[36mHTTPAdapter.send\u001B[39m\u001B[34m(self, request, stream, timeout, verify, cert, proxies)\u001B[39m\n\u001B[32m 641\u001B[39m timeout = TimeoutSauce(connect=timeout, read=timeout)\n\u001B[32m 643\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m644\u001B[39m resp = \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43murlopen\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 645\u001B[39m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 646\u001B[39m \u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 647\u001B[39m \u001B[43m \u001B[49m\u001B[43mbody\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 648\u001B[39m \u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 649\u001B[39m \u001B[43m \u001B[49m\u001B[43mredirect\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 650\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_same_host\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 651\u001B[39m \u001B[43m \u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 652\u001B[39m \u001B[43m \u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 653\u001B[39m \u001B[43m \u001B[49m\u001B[43mretries\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mmax_retries\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 654\u001B[39m \u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 655\u001B[39m \u001B[43m \u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 656\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 658\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (ProtocolError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[32m 659\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(err, request=request)\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connectionpool.py:773\u001B[39m, in \u001B[36mHTTPConnectionPool.urlopen\u001B[39m\u001B[34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001B[39m\n\u001B[32m 771\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m.proxy \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m http_tunnel_required \u001B[38;5;129;01mand\u001B[39;00m conn.is_closed:\n\u001B[32m 772\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m773\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_prepare_proxy\u001B[49m\u001B[43m(\u001B[49m\u001B[43mconn\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 774\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (BaseSSLError, \u001B[38;5;167;01mOSError\u001B[39;00m, SocketTimeout) \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 775\u001B[39m \u001B[38;5;28mself\u001B[39m._raise_timeout(\n\u001B[32m 776\u001B[39m err=e, url=\u001B[38;5;28mself\u001B[39m.proxy.url, timeout_value=conn.timeout\n\u001B[32m 777\u001B[39m )\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connectionpool.py:1042\u001B[39m, in \u001B[36mHTTPSConnectionPool._prepare_proxy\u001B[39m\u001B[34m(self, conn)\u001B[39m\n\u001B[32m 1034\u001B[39m tunnel_scheme = \u001B[33m\"\u001B[39m\u001B[33mhttp\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m 1036\u001B[39m conn.set_tunnel(\n\u001B[32m 1037\u001B[39m scheme=tunnel_scheme,\n\u001B[32m 1038\u001B[39m host=\u001B[38;5;28mself\u001B[39m._tunnel_host,\n\u001B[32m 1039\u001B[39m port=\u001B[38;5;28mself\u001B[39m.port,\n\u001B[32m 1040\u001B[39m headers=\u001B[38;5;28mself\u001B[39m.proxy_headers,\n\u001B[32m 1041\u001B[39m )\n\u001B[32m-> \u001B[39m\u001B[32m1042\u001B[39m \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43mconnect\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connection.py:796\u001B[39m, in \u001B[36mHTTPSConnection.connect\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 793\u001B[39m \u001B[38;5;66;03m# Remove trailing '.' from fqdn hostnames to allow certificate validation\u001B[39;00m\n\u001B[32m 794\u001B[39m server_hostname_rm_dot = server_hostname.rstrip(\u001B[33m\"\u001B[39m\u001B[33m.\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m796\u001B[39m sock_and_verified = \u001B[43m_ssl_wrap_socket_and_match_hostname\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 797\u001B[39m \u001B[43m \u001B[49m\u001B[43msock\u001B[49m\u001B[43m=\u001B[49m\u001B[43msock\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 798\u001B[39m \u001B[43m \u001B[49m\u001B[43mcert_reqs\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mcert_reqs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 799\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_version\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_version\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 800\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_minimum_version\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_minimum_version\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 801\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_maximum_version\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_maximum_version\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 802\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 803\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 804\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 805\u001B[39m \u001B[43m \u001B[49m\u001B[43mcert_file\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mcert_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 806\u001B[39m \u001B[43m \u001B[49m\u001B[43mkey_file\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mkey_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 807\u001B[39m \u001B[43m \u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 808\u001B[39m \u001B[43m \u001B[49m\u001B[43mserver_hostname\u001B[49m\u001B[43m=\u001B[49m\u001B[43mserver_hostname_rm_dot\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 809\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_context\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_context\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 810\u001B[39m \u001B[43m \u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 811\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_hostname\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43massert_hostname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 812\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_fingerprint\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43massert_fingerprint\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 813\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 814\u001B[39m \u001B[38;5;28mself\u001B[39m.sock = sock_and_verified.socket\n\u001B[32m 816\u001B[39m \u001B[38;5;66;03m# If an error occurs during connection/handshake we may need to release\u001B[39;00m\n\u001B[32m 817\u001B[39m \u001B[38;5;66;03m# our lock so another connection can probe the origin.\u001B[39;00m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connection.py:975\u001B[39m, in \u001B[36m_ssl_wrap_socket_and_match_hostname\u001B[39m\u001B[34m(sock, cert_reqs, ssl_version, ssl_minimum_version, ssl_maximum_version, cert_file, key_file, key_password, ca_certs, ca_cert_dir, ca_cert_data, assert_hostname, assert_fingerprint, server_hostname, ssl_context, tls_in_tls)\u001B[39m\n\u001B[32m 972\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m is_ipaddress(normalized):\n\u001B[32m 973\u001B[39m server_hostname = normalized\n\u001B[32m--> \u001B[39m\u001B[32m975\u001B[39m ssl_sock = \u001B[43mssl_wrap_socket\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 976\u001B[39m \u001B[43m \u001B[49m\u001B[43msock\u001B[49m\u001B[43m=\u001B[49m\u001B[43msock\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 977\u001B[39m \u001B[43m \u001B[49m\u001B[43mkeyfile\u001B[49m\u001B[43m=\u001B[49m\u001B[43mkey_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 978\u001B[39m \u001B[43m \u001B[49m\u001B[43mcertfile\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcert_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 979\u001B[39m \u001B[43m \u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m=\u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 980\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m=\u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 981\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m=\u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 982\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m=\u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 983\u001B[39m \u001B[43m \u001B[49m\u001B[43mserver_hostname\u001B[49m\u001B[43m=\u001B[49m\u001B[43mserver_hostname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 984\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_context\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 985\u001B[39m \u001B[43m \u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 986\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 988\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 989\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m assert_fingerprint:\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\util\\ssl_.py:461\u001B[39m, in \u001B[36mssl_wrap_socket\u001B[39m\u001B[34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password, ca_cert_data, tls_in_tls)\u001B[39m\n\u001B[32m 459\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m ca_certs \u001B[38;5;129;01mor\u001B[39;00m ca_cert_dir \u001B[38;5;129;01mor\u001B[39;00m ca_cert_data:\n\u001B[32m 460\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m461\u001B[39m \u001B[43mcontext\u001B[49m\u001B[43m.\u001B[49m\u001B[43mload_verify_locations\u001B[49m\u001B[43m(\u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 462\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 463\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m SSLError(e) \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01me\u001B[39;00m\n", + "\u001B[31mKeyboardInterrupt\u001B[39m: " + ] + } + ], "source": [ "# ==============================\n", "# 第二步：按中文姓名匹配处理人 + 默认取最后一个待办任务（支持 0 天收尾节点）\n", @@ -15079,126 +16130,30 @@ " if not next_task_found:\n", " print(f\" ❌ 未能获取下一流程任务，中断剩余 {approve_count - i - 1} 次操作\")\n", " break\n" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "=== 开始按中文姓名自动同意流程 ===\n", - "⚠️ CHS111222333 无有效 data_id，跳过\n", - "ℹ️ CHS201511140211 未指定有效 120天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a5bd0d2134163270b0cc\", \"tasks_type\": 1}\n", - "ℹ️ CHS201511140211 无待办任务，跳过\n", - "ℹ️ CHS201511170220 未指定有效 120天处理人，将使用默认任务\n", - "🕒 CHS201511170220 未触发120天条件（今天 2026-01-17，流转时间 2026-02-07），跳过\n", - "ℹ️ CHS201512010248 未指定有效 120天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a5bd0d2134163270b0cd\", \"tasks_type\": 1}\n", - "ℹ️ CHS201512010248 无待办任务，跳过\n", - "ℹ️ CHS201512110264 未指定有效 30天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a5bd0d2134163270b0ce\", \"tasks_type\": 1}\n", - "ℹ️ CHS201512110264 无待办任务，跳过\n", - "ℹ️ CHS201512160271 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a5c23f0f35d656c182dd\", \"tasks_type\": 1}\n", - "ℹ️ CHS201512160271 无待办任务，跳过\n", - "ℹ️ CHS201610271058 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6847\", \"tasks_type\": 1}\n", - "🔄 CHS201610271058 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201610271058 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201610271058 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", - "📤 第 1/2 次提交 | task_id: 696a0c4c4ec45355c809020c | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "ℹ️ CHS201611151078 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6849\", \"tasks_type\": 1}\n", - "ℹ️ CHS201611151078 无待办任务，跳过\n", - "ℹ️ CHS201611151079 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6848\", \"tasks_type\": 1}\n", - "ℹ️ CHS201611151079 无待办任务，跳过\n", - "ℹ️ CHS201704061247 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b684f\", \"tasks_type\": 1}\n", - "🔄 CHS201704061247 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201704061247 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201704061247 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", - "📤 第 1/2 次提交 | task_id: 696a0c5082e8bbd1ce190859 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "ℹ️ CHS201705031605 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6850\", \"tasks_type\": 1}\n", - "🔄 CHS201705031605 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201705031605 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201705031605 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", - "📤 第 1/2 次提交 | task_id: 696a0c5359fc0f479f5abc3f | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "ℹ️ CHS201705071621 未指定有效 30天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6851\", \"tasks_type\": 1}\n", - "🔄 CHS201705071621 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201705071621 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201705071621 开始执行 5 次连续同意（从 30天联系情况 节点出发）...\n", - "📤 第 1/5 次提交 | task_id: 696a0c564ec45355c8090af0 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "ℹ️ CHS201705081623 未指定有效 30天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6852\", \"tasks_type\": 1}\n", - "🔄 CHS201705081623 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201705081623 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201705081623 开始执行 4 次连续同意（从 30天联系情况 节点出发）...\n", - "📤 第 1/4 次提交 | task_id: 696a0c67618594cca84c99f8 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "⚠️ CHS201705081625 无有效 data_id，跳过\n", - "ℹ️ CHS201706021685 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6846\", \"tasks_type\": 1}\n", - "🔄 CHS201706021685 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201706021685 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201706021685 开始执行 2 次连续同意（从 60天联系情况 节点出发）...\n", - "📤 第 1/2 次提交 | task_id: 696a0c79d40d19aa189a7d91 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "ℹ️ CHS201706221712 未指定有效 120天处理人，将使用默认任务\n", - "🕒 CHS201706221712 未触发120天条件（今天 2026-01-17，流转时间 2026-02-07），跳过\n", - "ℹ️ CHS201706261721 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b6858\", \"tasks_type\": 1}\n", - "🔄 CHS201706261721 未匹配到姓名 'None'，使用最后一个待办任务 (处理人: 流程中间节点跟进人)\n", - "ℹ️ CHS201706261721 最终操作用户: R-5db50e0aaad23e00062da082-trial60238 (姓名: 流程中间节点跟进人)\n", - "🚀 CHS201706261721 开始执行 3 次连续同意（从 60天联系情况 节点出发）...\n", - "📤 第 1/3 次提交 | task_id: 696a0c7b8e72b882db7435d2 | 处理人: 流程中间节点跟进人 (R-5db50e0aaad23e00062da082-trial60238)\n", - " ⚠️ 同意操作返回错误: {'status': 'failure', 'code': 1010, 'message': 'The user does not exist.'}\n", - "ℹ️ CHS201707011739 未指定有效 120天处理人，将使用默认任务\n", - "🕒 CHS201707011739 未触发120天条件（今天 2026-01-17，流转时间 2026-02-10），跳过\n", - "ℹ️ CHS201707281800 未指定有效 60天处理人，将使用默认任务\n", - "payload: {\"instance_id\": \"6969a437522f552a560b685b\", \"tasks_type\": 1}\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001B[31m---------------------------------------------------------------------------\u001B[39m", - "\u001B[31mKeyboardInterrupt\u001B[39m Traceback (most recent call last)", - "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[54]\u001B[39m\u001B[32m, line 146\u001B[39m\n\u001B[32m 144\u001B[39m \u001B[38;5;66;03m# === 获取流程实例与待办任务 ===\u001B[39;00m\n\u001B[32m 145\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m146\u001B[39m instance_data = \u001B[43mapi_instance\u001B[49m\u001B[43m.\u001B[49m\u001B[43mworkflow_instance_get\u001B[49m\u001B[43m(\u001B[49m\u001B[43m{\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mdata_id\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m:\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata_id\u001B[49m\u001B[43m}\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 147\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 148\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33m❌ \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mstore_code\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m 获取流程实例失败: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00me\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Idea Project\\SaaS_V1.7\\api.py:572\u001B[39m, in \u001B[36mAPI.workflow_instance_get\u001B[39m\u001B[34m(data, max_retries)\u001B[39m\n\u001B[32m 570\u001B[39m \u001B[38;5;28;01mwhile\u001B[39;00m retries <= max_retries:\n\u001B[32m 571\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m572\u001B[39m res = \u001B[43mrequests\u001B[49m\u001B[43m.\u001B[49m\u001B[43mpost\u001B[49m\u001B[43m(\u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpayload\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m10\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m 573\u001B[39m \u001B[38;5;66;03m# res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常\u001B[39;00m\n\u001B[32m 574\u001B[39m data_get = res.json()\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\api.py:115\u001B[39m, in \u001B[36mpost\u001B[39m\u001B[34m(url, data, json, **kwargs)\u001B[39m\n\u001B[32m 103\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mpost\u001B[39m(url, data=\u001B[38;5;28;01mNone\u001B[39;00m, json=\u001B[38;5;28;01mNone\u001B[39;00m, **kwargs):\n\u001B[32m 104\u001B[39m \u001B[38;5;250m \u001B[39m\u001B[33mr\u001B[39m\u001B[33;03m\"\"\"Sends a POST request.\u001B[39;00m\n\u001B[32m 105\u001B[39m \n\u001B[32m 106\u001B[39m \u001B[33;03m :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[32m (...)\u001B[39m\u001B[32m 112\u001B[39m \u001B[33;03m :rtype: requests.Response\u001B[39;00m\n\u001B[32m 113\u001B[39m \u001B[33;03m \"\"\"\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m115\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mpost\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mjson\u001B[49m\u001B[43m=\u001B[49m\u001B[43mjson\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\api.py:59\u001B[39m, in \u001B[36mrequest\u001B[39m\u001B[34m(method, url, **kwargs)\u001B[39m\n\u001B[32m 55\u001B[39m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[32m 56\u001B[39m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[32m 57\u001B[39m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[32m 58\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m sessions.Session() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[32m---> \u001B[39m\u001B[32m59\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43msession\u001B[49m\u001B[43m.\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\sessions.py:589\u001B[39m, in \u001B[36mSession.request\u001B[39m\u001B[34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[39m\n\u001B[32m 584\u001B[39m send_kwargs = {\n\u001B[32m 585\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mtimeout\u001B[39m\u001B[33m\"\u001B[39m: timeout,\n\u001B[32m 586\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mallow_redirects\u001B[39m\u001B[33m\"\u001B[39m: allow_redirects,\n\u001B[32m 587\u001B[39m }\n\u001B[32m 588\u001B[39m send_kwargs.update(settings)\n\u001B[32m--> \u001B[39m\u001B[32m589\u001B[39m resp = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprep\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43msend_kwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 591\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\sessions.py:703\u001B[39m, in \u001B[36mSession.send\u001B[39m\u001B[34m(self, request, **kwargs)\u001B[39m\n\u001B[32m 700\u001B[39m start = preferred_clock()\n\u001B[32m 702\u001B[39m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m703\u001B[39m r = \u001B[43madapter\u001B[49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 705\u001B[39m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[32m 706\u001B[39m elapsed = preferred_clock() - start\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\requests\\adapters.py:644\u001B[39m, in \u001B[36mHTTPAdapter.send\u001B[39m\u001B[34m(self, request, stream, timeout, verify, cert, proxies)\u001B[39m\n\u001B[32m 641\u001B[39m timeout = TimeoutSauce(connect=timeout, read=timeout)\n\u001B[32m 643\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m644\u001B[39m resp = \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43murlopen\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 645\u001B[39m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 646\u001B[39m \u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 647\u001B[39m \u001B[43m \u001B[49m\u001B[43mbody\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 648\u001B[39m \u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 649\u001B[39m \u001B[43m \u001B[49m\u001B[43mredirect\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 650\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_same_host\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 651\u001B[39m \u001B[43m \u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 652\u001B[39m \u001B[43m \u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 653\u001B[39m \u001B[43m \u001B[49m\u001B[43mretries\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mmax_retries\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 654\u001B[39m \u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 655\u001B[39m \u001B[43m \u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 656\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 658\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (ProtocolError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[32m 659\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(err, request=request)\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connectionpool.py:773\u001B[39m, in \u001B[36mHTTPConnectionPool.urlopen\u001B[39m\u001B[34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001B[39m\n\u001B[32m 771\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m.proxy \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m http_tunnel_required \u001B[38;5;129;01mand\u001B[39;00m conn.is_closed:\n\u001B[32m 772\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m773\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_prepare_proxy\u001B[49m\u001B[43m(\u001B[49m\u001B[43mconn\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 774\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (BaseSSLError, \u001B[38;5;167;01mOSError\u001B[39;00m, SocketTimeout) \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 775\u001B[39m \u001B[38;5;28mself\u001B[39m._raise_timeout(\n\u001B[32m 776\u001B[39m err=e, url=\u001B[38;5;28mself\u001B[39m.proxy.url, timeout_value=conn.timeout\n\u001B[32m 777\u001B[39m )\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connectionpool.py:1042\u001B[39m, in \u001B[36mHTTPSConnectionPool._prepare_proxy\u001B[39m\u001B[34m(self, conn)\u001B[39m\n\u001B[32m 1034\u001B[39m tunnel_scheme = \u001B[33m\"\u001B[39m\u001B[33mhttp\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m 1036\u001B[39m conn.set_tunnel(\n\u001B[32m 1037\u001B[39m scheme=tunnel_scheme,\n\u001B[32m 1038\u001B[39m host=\u001B[38;5;28mself\u001B[39m._tunnel_host,\n\u001B[32m 1039\u001B[39m port=\u001B[38;5;28mself\u001B[39m.port,\n\u001B[32m 1040\u001B[39m headers=\u001B[38;5;28mself\u001B[39m.proxy_headers,\n\u001B[32m 1041\u001B[39m )\n\u001B[32m-> \u001B[39m\u001B[32m1042\u001B[39m \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43mconnect\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connection.py:796\u001B[39m, in \u001B[36mHTTPSConnection.connect\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 793\u001B[39m \u001B[38;5;66;03m# Remove trailing '.' from fqdn hostnames to allow certificate validation\u001B[39;00m\n\u001B[32m 794\u001B[39m server_hostname_rm_dot = server_hostname.rstrip(\u001B[33m\"\u001B[39m\u001B[33m.\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m796\u001B[39m sock_and_verified = \u001B[43m_ssl_wrap_socket_and_match_hostname\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 797\u001B[39m \u001B[43m \u001B[49m\u001B[43msock\u001B[49m\u001B[43m=\u001B[49m\u001B[43msock\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 798\u001B[39m \u001B[43m \u001B[49m\u001B[43mcert_reqs\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mcert_reqs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 799\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_version\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_version\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 800\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_minimum_version\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_minimum_version\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 801\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_maximum_version\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_maximum_version\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 802\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 803\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 804\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 805\u001B[39m \u001B[43m \u001B[49m\u001B[43mcert_file\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mcert_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 806\u001B[39m \u001B[43m \u001B[49m\u001B[43mkey_file\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mkey_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 807\u001B[39m \u001B[43m \u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 808\u001B[39m \u001B[43m \u001B[49m\u001B[43mserver_hostname\u001B[49m\u001B[43m=\u001B[49m\u001B[43mserver_hostname_rm_dot\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 809\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_context\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mssl_context\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 810\u001B[39m \u001B[43m \u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 811\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_hostname\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43massert_hostname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 812\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_fingerprint\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43massert_fingerprint\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 813\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 814\u001B[39m \u001B[38;5;28mself\u001B[39m.sock = sock_and_verified.socket\n\u001B[32m 816\u001B[39m \u001B[38;5;66;03m# If an error occurs during connection/handshake we may need to release\u001B[39;00m\n\u001B[32m 817\u001B[39m \u001B[38;5;66;03m# our lock so another connection can probe the origin.\u001B[39;00m\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\connection.py:975\u001B[39m, in \u001B[36m_ssl_wrap_socket_and_match_hostname\u001B[39m\u001B[34m(sock, cert_reqs, ssl_version, ssl_minimum_version, ssl_maximum_version, cert_file, key_file, key_password, ca_certs, ca_cert_dir, ca_cert_data, assert_hostname, assert_fingerprint, server_hostname, ssl_context, tls_in_tls)\u001B[39m\n\u001B[32m 972\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m is_ipaddress(normalized):\n\u001B[32m 973\u001B[39m server_hostname = normalized\n\u001B[32m--> \u001B[39m\u001B[32m975\u001B[39m ssl_sock = \u001B[43mssl_wrap_socket\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 976\u001B[39m \u001B[43m \u001B[49m\u001B[43msock\u001B[49m\u001B[43m=\u001B[49m\u001B[43msock\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 977\u001B[39m \u001B[43m \u001B[49m\u001B[43mkeyfile\u001B[49m\u001B[43m=\u001B[49m\u001B[43mkey_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 978\u001B[39m \u001B[43m \u001B[49m\u001B[43mcertfile\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcert_file\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 979\u001B[39m \u001B[43m \u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m=\u001B[49m\u001B[43mkey_password\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 980\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m=\u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 981\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m=\u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 982\u001B[39m \u001B[43m \u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m=\u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 983\u001B[39m \u001B[43m \u001B[49m\u001B[43mserver_hostname\u001B[49m\u001B[43m=\u001B[49m\u001B[43mserver_hostname\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 984\u001B[39m \u001B[43m \u001B[49m\u001B[43mssl_context\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcontext\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 985\u001B[39m \u001B[43m \u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtls_in_tls\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 986\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 988\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 989\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m assert_fingerprint:\n", - "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\urllib3\\util\\ssl_.py:461\u001B[39m, in \u001B[36mssl_wrap_socket\u001B[39m\u001B[34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password, ca_cert_data, tls_in_tls)\u001B[39m\n\u001B[32m 459\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m ca_certs \u001B[38;5;129;01mor\u001B[39;00m ca_cert_dir \u001B[38;5;129;01mor\u001B[39;00m ca_cert_data:\n\u001B[32m 460\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m461\u001B[39m \u001B[43mcontext\u001B[49m\u001B[43m.\u001B[49m\u001B[43mload_verify_locations\u001B[49m\u001B[43m(\u001B[49m\u001B[43mca_certs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mca_cert_dir\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mca_cert_data\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 462\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 463\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m SSLError(e) \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01me\u001B[39;00m\n", - "\u001B[31mKeyboardInterrupt\u001B[39m: " - ] - } - ], - "execution_count": 54 + ] }, { + "cell_type": "code", + "execution_count": 50, + "id": "d69336ffbedf9909", "metadata": { "ExecuteTime": { "end_time": "2026-01-17T01:20:24.961745500Z", "start_time": "2026-01-17T01:20:24.892585800Z" } }, - "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": [ + "'R-5db50e0aaad23e00062da082-trial60238'" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import requests\n", "import json\n", @@ -15261,21 +16216,7 @@ "\n", "except requests.exceptions.RequestException as e:\n", " print(\"请求失败：\", str(e))" - ], - "id": "d69336ffbedf9909", - "outputs": [ - { - "data": { - "text/plain": [ - "'R-5db50e0aaad23e00062da082-trial60238'" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 50 + ] }, { "cell_type": "code", @@ -28338,21 +29279,21 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "SaaS", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" + "pygments_lexer": "ipython3", + "version": "3.13.11" } }, "nbformat": 4, diff --git a/test/宜搭续约待办转简道云源数据新.py b/test/宜搭续约待办转简道云源数据新.py index 7cbf9c1..dd2b57b 100644 --- a/test/宜搭续约待办转简道云源数据新.py +++ b/test/宜搭续约待办转简道云源数据新.py @@ -12,7 +12,7 @@ from back_ground_module import CommonModule from log_config import configure_task_logger, configure_error_task_logger from yd_api import YDAPI from api import API -from tqdm.notebook import tqdm +from tqdm import tqdm logger = configure_task_logger() error_task_logger = configure_error_task_logger() @@ -23,9 +23,10 @@ output_dir = "output" os.makedirs(output_dir, exist_ok=True) # 加载数据 -df = pd.read_csv(r"D:\Idea Project\SaaS_V1.7\test\output\expanded_yd_data.csv").astype(str) +# df = pd.read_csv(r"D:\Idea Project\SaaS_V1.7\test\output\expanded_yd_data.csv",encoding="gbk").astype(str) +df = pd.read_excel(r"C:\Users\hp_z66\OneDrive\Desktop\门店分析新.xlsx",sheet_name="新建").astype(str) df2 = pd.read_excel( - r"D:\Idea Project\SaaS_V1.7\test\output\续约服务流程_历史维修记录迁移测试_20260116110136.xlsx" + r"D:\Idea Project\SaaS_V1.7\test\output\续约服务流程_20260324165743.xlsx" ).fillna('').astype(str) # 从df中获取流程编码获取流程详细信息 # 测试注释 token = yd_api_instance.generateToken() @@ -35,12 +36,21 @@ systemToken = "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2" all_instance_data = [] for index, row in tqdm(df.iterrows(), total=len(df)): - instance_id = row["processInstanceId"] + instance_id = row["实例ID"] instance_info = yd_api_instance.processes_instancesInfos(token, instance_id, appType, systemToken) - all_instance_data.append(instance_info.get("data")) + data = instance_info.get("data") + if data: + # 提取 formData 中的字段并合并到外层 + form_data = data.get("formData", {}) + if isinstance(form_data, dict): + data.update(form_data) + + # 手动注入实例 ID，确保映射能找到 + data["实例ID"] = instance_id + all_instance_data.append(data) ndf = pd.DataFrame(all_instance_data) -ndf.to_csv(r"D:\Idea Project\SaaS_V1.7\\test\output\yd_process_details.csv") +ndf.to_csv(r"D:\Idea Project\SaaS_V1.7\\test\output\yd_process_details.csv", index=False) # 读取宜搭流程详情（已提前导出） ndf = pd.read_csv(r"D:\Idea Project\SaaS_V1.7\test\output\yd_process_details.csv") @@ -68,6 +78,7 @@ jdy_map = { "门店问题": "_widget_1764820541711", "价格问题": "_widget_1764820541713", "不续约具体情况说明": "_widget_1764820541702", + "宜搭实例ID": "_widget_1774339442956", } # 宜搭字段ID → 简道云中文名 映射 @@ -94,6 +105,7 @@ yd_field_id_to_jdy_chinese = { "selectField_l31clxg2": "价格问题", "textareaField_l31clxg4": "不续约具体情况说明", "radioField_l85ppdie": "续约意愿", + "实例ID":"宜搭实例ID" } # 值映射（用于标准化选项值） @@ -212,8 +224,8 @@ for idx, row in ndf.iterrows(): # 批量发送更新请求 logger.info(f"共构造 {len(update_records)} 条更新记录") APP_ID = "675b900991ad2491c69389ca" -ENTRY_ID = "6965eec36b73376aa0b5bff8" -# ENTRY_ID = "6931063d64187eaf6b927557" +# ENTRY_ID = "6965eec36b73376aa0b5bff8" +ENTRY_ID = "6931063d64187eaf6b927557" for record in tqdm(update_records): payload = { @@ -224,5 +236,6 @@ for record in tqdm(update_records): "data": record["data"], "is_start_trigger": False } + res = api_instance.entry_data_update(payload) # print(res) \ No newline at end of file diff --git a/test/展会线索登记.py b/test/展会线索登记.py new file mode 100644 index 0000000..a9d4c26 --- /dev/null +++ b/test/展会线索登记.py @@ -0,0 +1,445 @@ +# -*- coding: utf-8 -*- +import sys +import io +import imaplib +import email +import re +from datetime import datetime, timedelta +from email.header import decode_header +import pandas as pd +# 假设 api.py 在当前目录下，且包含 API 类 +import requests +from typing import Optional, List, Dict, Any +from decimal import Decimal +import time +import numpy as np +from log_config import configure_task_logger, configure_error_task_logger +import json + +# === 强制标准输出为 UTF-8 (兼容不同运行环境) === +# 注意：在部分 IDE 中重新包装 sys.stdout 可能会导致乱码，若报错可注释掉以下两行 +try: + sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8') + sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8') +except AttributeError: + pass + +# ================= 配置区域 ================= +EMAIL_ACCOUNT = "zhangyang@f6car.cn" +PASSWORD = "RGBdMggmJ4s2FzZK" # ⚠️ 生产环境建议使用环境变量，不要硬编码 +IMAP_SERVER = "imap.qiye.aliyun.com" +IMAP_PORT = 993 +SUBJECT_KEYWORD = "展会线索登记" +DAYS_TO_SCAN = 30 # 扫描最近30天 +OUTPUT_FILE = f"展会线索_{datetime.now().strftime('%Y%m%d_%H%M%S')}.xlsx" + +# 定义标准字段顺序 +FIELD_KEYS = ["姓名", "手机号", "省", "市", "区", "公司名称", "备注"] + + +class API: + def entry_data_list(self, data: dict, replace: bool = False, max_retries: int = 20) -> Dict: # 获取多条表单数据 + """ + 获取多条表单数据 + :param max_retries: 最大重试次数 + :param replace: 是否替换字段 + :param data: + api_key: 应用id + entry_id: 表单id + :return: + """ + + url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/list' + + headers = { + 'Authorization': "Bearer qygHulymo1fekJk4CIZyNKjyQAzG8CFN", # 曹伟应用api测试 app_key + 'Content-Type': 'application/json' + } + all_data_batches = [] # 用于存储每次请求返回的数据批次 + last_data_id = None + exit_flag = False + while True: + payload = json.dumps({ + "app_id": data['api_key'], # 应用ID + "entry_id": data['entry_id'], # 表单ID + "limit": 90, + "data_id": last_data_id, + "filter": data.get('filter', None) + }) + retries = 0 + + while retries <= max_retries: + data_get = None + try: + res = requests.post(url=url, data=payload, headers=headers, timeout=10) + res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常 + data_get = res.json() + if data_get["data"]: + all_data_batches.extend(data_get['data']) + last_data_id = data_get['data'][-1].get('_id') + print(f"已获取 {len(all_data_batches)} 条数据") + break # 成功则跳出循环 + else: + if 'data' not in data_get or len(data_get['data']) == 0: + exit_flag = True + break + retries += 1 + time.sleep(0.5) # 在重试之间稍作停顿 + except requests.exceptions.RequestException as e: + retries += 1 + time.sleep(0.5) # 在重试之间稍作停顿 + if retries > max_retries: + all_data_batches.append(None) # 或者可以选择记录失败的payload以便后续处理 + + if exit_flag: + break + + # 构建最终返回的字典 + final_data = { + 'data': all_data_batches # 'data' 键对应的值是列表的列表 + } + + return final_data + + @staticmethod + def data_batch_create(data: dict, max_retries: int = 20) -> Optional[requests.Response]: # 新建单条数据 + """ + 新建单条表单数据 + :param max_retries: 最大重试次数 + :param data: 应该包含应用id、表单id，以及新建的数据data['data'] + :return: 返回创建后简道云返回的信息 + """ + url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/create' + + headers = { + 'Authorization': "Bearer qygHulymo1fekJk4CIZyNKjyQAzG8CFN", # 曹伟应用api测试 app_key + 'Content-Type': 'application/json' + } + # noinspection DuplicatedCode + payload = json.dumps({ + "app_id": data['api_key'], # 应用ID + "entry_id": data['entry_id'], # 表单ID + "data": data['data'], + "is_start_workflow": data.get('is_start_workflow', "false"), + "is_start_trigger": data.get('is_start_trigger', "false"), + "transaction_id": data.get('transaction_id', "") + } + ) + + retries = 0 + while retries <= max_retries: + try: + res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10) + res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常 + data_get = res.json() + if res.status_code == 200: + return data_get + else: + retries += 1 + time.sleep(3) # 在重试之间稍作停顿 + except requests.exceptions.RequestException as e: + retries += 1 + time.sleep(3) # 在重试之间稍作停顿 + if retries > max_retries: + print( + f"任务 {data['data_list']} 连续{max_retries}次请求失败，放弃此次请求。") + return None + + +# =========================================== + +def decode_mime_words(s): + if not s: + return "" + decoded_parts = [] + # decode_header 返回的是 list of (bytes/str, encoding) + for part, encoding in decode_header(s): + if isinstance(part, bytes): + decoded_parts.append(part.decode(encoding or 'utf-8', errors='ignore')) + else: + decoded_parts.append(str(part)) + return "".join(decoded_parts) + + +def extract_data_from_body(body_text): + """ + 从邮件正文中提取线索数据。 + 格式：姓名 | 手机号 | 省 | 市 | 区 | 公司 | 备注 + """ + if not body_text: + return [] + + data_list = [] + # 【修复点 1】splitlines() 是方法，需要加括号 + lines = body_text.splitlines() + + for line in lines: + line = line.strip() + # 如果行中没有分隔符，跳过 + if '|' not in line: + continue + + # 按 '|' 分割并去除首尾空格 + parts = [p.strip() for p in line.split('|')] + + # 【关键校验】至少需要前两个字段（姓名、手机号）非空 + if len(parts) < 2 or not parts[0] or not parts[1]: + continue + + # 构建字典，动态映射 + record = {} + for i, key in enumerate(FIELD_KEYS): + if i < len(parts): + record[key] = parts[i] + else: + record[key] = "" # 缺失的字段填空字符串 + + data_list.append(record) + + return data_list + + +def save_to_excel(leads, filename): + if not leads: + return None + + df = pd.DataFrame(leads) + + # 定义期望的列顺序 + cols = ["姓名", "手机号", "省", "市", "区", "公司名称", "备注", "来源邮件时间"] + + # 确保列存在且顺序正确 + # 先保留所有现有列中在 cols 里的，按 cols 顺序 + ordered_cols = [c for c in cols if c in df.columns] + # 再加上可能存在的其他列（虽然逻辑上不应该有，但以防万一） + other_cols = [c for c in df.columns if c not in cols] + final_cols = ordered_cols + other_cols + + df = df[final_cols] + # df.to_excel(filename, index=False) + return df + + +def main(): + print(f"正在连接 IMAP 服务器：{IMAP_SERVER} ...") + mail = None + + start_date = datetime.now() - timedelta(days=DAYS_TO_SCAN) + date_str = start_date.strftime("%d-%b-%Y").upper() + + all_leads = [] + count_processed = 0 + + try: + mail = imaplib.IMAP4_SSL(IMAP_SERVER, IMAP_PORT) + mail.login(EMAIL_ACCOUNT, PASSWORD) + mail.select("INBOX") + + print(f"正在搜索 [{date_str}] 之后的邮件...") + search_query = f'(SINCE "{date_str}")' + status, messages = mail.search(None, search_query) + + if status != "OK": + print("❌ 搜索失败") + return + + mail_ids = messages[0].split() + if not mail_ids: + print(f"✅ 未找到 {date_str} 之后的新邮件。") + return + + print(f"📩 找到 {len(mail_ids)} 封近期邮件，开始详细扫描...") + + for mail_id in mail_ids: + try: + status, msg_data = mail.fetch(mail_id, "(RFC822)") + if status != "OK": + continue + + raw_email = msg_data[0][1] + + if isinstance(raw_email, bytes): + mime_msg = email.message_from_bytes(raw_email) + else: + mime_msg = email.message_from_string(raw_email.decode('utf-8', errors='ignore')) + + subject = decode_mime_words(mime_msg.get("Subject")) + if SUBJECT_KEYWORD not in subject: + continue + + count_processed += 1 + date_str_full = mime_msg.get("Date") + body_content = "" + + if mime_msg.is_multipart(): + for part in mime_msg.walk(): + content_disposition = part.get_content_disposition() + if content_disposition and "attachment" in str(content_disposition): + continue + content_type = part.get_content_type() + if content_type in ["text/plain", "text/html"]: + try: + charset = part.get_content_charset() or 'utf-8' + payload = part.get_payload(decode=True) + if payload: + text = payload.decode(charset, errors='ignore') if isinstance(payload, + bytes) else str( + payload) + if content_type == "text/html": + text = re.sub(r'<[^>]+>', ' ', text) + body_content += text + "\n" + except Exception: + pass + else: + try: + charset = mime_msg.get_content_charset() or 'utf-8' + payload = mime_msg.get_payload(decode=True) + if payload: + body_content = payload.decode(charset, errors='ignore') if isinstance(payload, + bytes) else str( + payload) + except Exception: + pass + + leads = extract_data_from_body(body_content) + + for lead in leads: + lead["来源邮件时间"] = date_str_full + + if leads: + print(f"[{subject}] -> 提取 {len(leads)} 条") + all_leads.extend(leads) + + except Exception as e: + print(f"处理邮件 ID {mail_id} 时出错：{e}") + continue + + # ================= 新增：本地数据去重逻辑 ================= + original_count = len(all_leads) + if original_count > 0: + seen_phones = set() + unique_leads = [] + + for lead in all_leads: + phone = str(lead.get("手机号", "")).strip() + # 如果手机号为空，或者已经出现过，则跳过 + if not phone or phone in seen_phones: + continue + + seen_phones.add(phone) + unique_leads.append(lead) + + all_leads = unique_leads + removed_count = original_count - len(all_leads) + if removed_count > 0: + print( + f"\n⚠️ 检测到重复数据，已根据【手机号】去重：原始 {original_count} 条 -> 去重后 {len(all_leads)} 条 (移除 {removed_count} 条)") + else: + print(f"\n✅ 数据检查完成，无重复手机号。共 {len(all_leads)} 条。") + # ======================================================= + + df = save_to_excel(all_leads, OUTPUT_FILE) + + if df is not None: + print(f"\n✅ 成功！共扫描 {count_processed} 封匹配邮件，最终有效线索 {len(all_leads)} 条。") + print(f"文件已保存至：{OUTPUT_FILE}") + else: + print(f"\n⚠️ 扫描完成，但在 {count_processed} 封近期邮件中未找到符合格式的数据。") + return # 如果没有数据，后续同步逻辑无需执行 + + # 同步至简道云 + if all_leads: + print("\n开始同步至简道云...") + api_instance = API() + + payload_query = { + "api_key": "66b9678280b37f8a276b1d01", + "entry_id": "69b22dc5434e05c7b6b4b5b2", + } + + try: + response = api_instance.entry_data_list(payload_query) + now_data = response.get("data", []) if response else [] + + existing_phones = set() + phone_widget_id = "_widget_1692928669587" + + for item in now_data: + phone_val = item.get(phone_widget_id) + if phone_val: + existing_phones.add(str(phone_val).strip()) + + print(f"简道云现有手机号数量：{len(existing_phones)}") + + new_count = 0 + # 此时 df 已经是去重后的数据，且 all_leads 也是去重后的 + # 再次遍历 df 确保只提交本地没有的（防止简道云已有但本地没查到的情况，虽然逻辑上上面已经过滤了） + # 为了代码健壮性，这里保留原有的 existing_phones 检查逻辑 + for index, row in df.iterrows(): + current_phone = str(row["手机号"]).strip() + + if not current_phone: + continue + + # 双重保险：如果简道云里已经有了，跳过 + if current_phone in existing_phones: + print(f"跳过 (云端已存在): {current_phone}") + continue + + new_payload = { + "api_key": "66b9678280b37f8a276b1d01", + "entry_id": "69b22dc5434e05c7b6b4b5b2", + "data": { + "_widget_1690785229260": {"value": row.get("姓名", "")}, + "_widget_1690785229261": {"value": row.get("公司名称", "")}, + "_widget_1692928669587": {"value": row.get("手机号", "")}, + "_widget_1690785229266": {"value": row.get("备注", "")}, + "_widget_1690785326597": {"value": {"province": row.get("省", ""), + "city": row.get("市", ""), + "district": row.get("区", ""), + "detail": row.get("省", "") + row.get("市", + "") + row.get( + "区", ""), + } + }, + "_widget_1690785229279": {"value": row.get("市", "")}, + "_widget_1773381838511": {"value": row.get("省", "")}, + "_widget_1692070309987": {"value": row.get("区", "")}, + } + } + + result = api_instance.data_batch_create(new_payload) + + if result and (result.get("success") or result.get("code") == 200 or "error" not in result): + new_count += 1 + print(f"新增成功：{current_phone} ({row.get('姓名')})") + else: + print(f"提交结果：{current_phone}, 返回：{result}") + # 如果提交成功但返回格式奇怪，也可以考虑计入成功，视具体API文档而定 + # 这里保守处理，只有明确成功才算 + + print(f"\n✅ 同步完成，本次新增 {new_count} 条数据。") + + except Exception as api_err: + print(f"\n❌ 简道云 API 交互错误：{api_err}") + import traceback + traceback.print_exc() + + except imaplib.IMAP4.error as e: + print("\n❌ IMAP 协议错误:") + print(f"错误详情：{e}") + except Exception as e: + print("\n❌ 发生严重错误:") + import traceback + traceback.print_exc() + finally: + if mail: + try: + mail.close() + mail.logout() + except: + pass + + +if __name__ == "__main__": + main() diff --git a/test/新签创建数据.py b/test/新签创建数据.py new file mode 100644 index 0000000..277fbf4 --- /dev/null +++ b/test/新签创建数据.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- + +payload ={ + "app_id": "675b900991ad2491c69389ca", + + "data": { + "_widget_1767851302591": 1772508166000, + "_widget_1767863644355": "何文娟", + "_widget_1767851302590": "1772507997862", + "_widget_1767851302593": [ + "064863221620345741" + ], + "_widget_1767851302592": "15651815921", + "_widget_1767851302595": [ + "122744083333090577" + ], + "_widget_1767851302594": "064863221620345741", + "_widget_1767851302597": "废弃测试三月分店", + "_widget_1767851302596": "CHS202603030049192", + "_widget_1767952153422": [ + "洗车", + "美容" + ], + "_widget_1772264444051": "19999.0", + "_widget_1767851302599": "普通客户（VIP）", + "_widget_1767851302598": "zyc测试公司废弃", + "_widget_1768290159749": [ + "122744083333090577" + ], + "_widget_1768290159748": "华南区域", + "_widget_1768290159747": "15870306745529522117", + "_widget_1767863644358": "15651815921", + "_widget_1768290159746": "16338827489080131642", + "_widget_1767863644357": "何文娟", + "_widget_1767863644356": "15651815921", + "_widget_1767863644582": [ + "064863221620345741" + ], + "_widget_1767851302585": "XQFWD20260303001", + "_widget_1772264443873": "台湾省", + "_widget_1772703526239": "1", + "_widget_1772264443872": "其它", + "_widget_1767851302600": 1772508361000, + "_widget_1768290159737": 1773112966000, + "_widget_1767851302602": "皇冠版", + "_widget_1772264443811": "C", + "_widget_1772264443812": "5", + "_widget_1767851302604": "30" + } + , + "entry_id": "695f439e3e910f09190d8e99", + "is_start_workflow": true +} \ No newline at end of file diff --git a/test/新签研发联调.ipynb b/test/新签研发联调.ipynb new file mode 100644 index 0000000..46cdc80 --- /dev/null +++ b/test/新签研发联调.ipynb @@ -0,0 +1,208 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "新签节点调用格式", + "id": "671b10d308af2bdc" + }, + { + "cell_type": "code", + "id": "initial_id", + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2026-03-12T09:25:38.245095300Z", + "start_time": "2026-03-12T09:25:36.441415900Z" + } + }, + "source": [ + "import requests\n", + "url = \"https://manage-pre.f6yc.com/hive-admin/yida/updateNode\"\n", + "\n", + "\n", + "payload = {\n", + " \"nodeCode\": \"ORG_RESEARCH\",\n", + " \"needTraining\": \"是\",\n", + " \"impPrincipal\":\"['171408516124043808']\",\n", + " \"instanceId\": \"69b269d6c193f83cc27f65e7\"\n", + "}\n", + "\n", + "# [{\"_id\":\"69a285f3fa0d9fb1984da9bf\",\"name\":\"张乐乐\",\"username\":\"171408516124043808\",\"status\":1,\"type\":0}]\n", + "\n", + "response = requests.post(url, data=payload)\n", + "response.json()" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "{'code': 200, 'data': None, 'message': 'SUCCESS'}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 14 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "# 续约联调", + "id": "6ce335625a1c1fbb" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-24T10:17:42.894874500Z", + "start_time": "2026-03-24T10:17:42.269474800Z" + } + }, + "cell_type": "code", + "source": [ + "# 可以引用一些第三方库.\n", + "import json\n", + "import requests\n", + "import time\n", + "import random\n", + "import time\n", + "import binascii # 【修正1】添加缺失的 binascii 导入\n", + "from pyDes import des, CBC, PAD_PKCS5\n", + "\n", + "data_id = \"69c264920c1729f7dd5d6a17\" # 数据id\n", + "orgid = \"16058306913393233941\" # 门店id\n", + "order_id = \"XYFWD20260324003\" # 服务单号\n", + "operation_consultant_str = '[{\"_id\":\"69a285f3fa0d9fb1984da9bf\",\"name\":\"张乐乐\",\"username\":\"171408516124043808\",\"status\":1,\"type\":0}]'# 专属人员顾问\n", + "\n", + "url = \"https://manage-pre.f6yc.com/hive-admin/py/yida/renewal/insertRenewalFormsData\"\n", + "\n", + "def des_encrypt(s):\n", + " \"\"\"\n", + " DES 加密\n", + " :param s: 原始字符串\n", + " :return: 加密后字符串，16进制\n", + " \"\"\"\n", + " secret_key = 'HwdMBW8o'\n", + " iv = secret_key\n", + " k = des(secret_key, CBC, iv, pad=None, padmode=PAD_PKCS5)\n", + " en = k.encrypt(s, padmode=PAD_PKCS5)\n", + " return binascii.b2a_base64(en, newline=False)\n", + "\n", + "\n", + "def des_descrypt(s):\n", + " \"\"\"\n", + " DES 解密\n", + " :param s: 加密后的字符串，16进制\n", + " :return: 解密后的字符串\n", + " \"\"\"\n", + " secret_key = 'HwdMBW8o'\n", + " iv = secret_key\n", + " k = des(secret_key, CBC, iv, pad=None, padmode=PAD_PKCS5)\n", + " de = k.decrypt(binascii.a2b_base64(s), padmode=PAD_PKCS5)\n", + " return de\n", + "\n", + "\n", + "impPrincipal_list = []\n", + "\n", + "if operation_consultant_str:\n", + " try:\n", + " # 将字符串 '[{...}]' 转换为 Python 列表 [{...}]\n", + " operation_list = json.loads(operation_consultant_str)\n", + "\n", + " # 确保解析出来的是列表\n", + " if isinstance(operation_list, list):\n", + " for operate in operation_list:\n", + " # 确保每一项是字典且包含 username\n", + " if isinstance(operate, dict) and \"username\" in operate:\n", + " impPrincipal_list.append(operate[\"username\"])\n", + " else:\n", + " # 如果解析出来不是列表（比如是个单对象），做兼容处理\n", + " if isinstance(operation_list, dict) and \"username\" in operation_list:\n", + " impPrincipal_list.append(operation_list[\"username\"])\n", + "\n", + " except json.JSONDecodeError:\n", + " # 如果解析失败，记录错误或保持列表为空\n", + " print(f\"JSON 解析失败: {operation_consultant_str}\")\n", + " impPrincipal_list = []\n", + "else:\n", + " operation_list = []\n", + "\n", + "impPrincipal_value=impPrincipal_list[0]\n", + "\n", + "t = time.time()\n", + "ts = int(round(t * 1000))\n", + "randint = random.randint(100000000, 999999999)\n", + "req = data_id + \"|\" + orgid + \"|\" +order_id+ \"|\" + impPrincipal_value + \"_\" + str(ts) + \"_\" + str(randint)\n", + "# 实例ID|门ID|服务单号|专属运营顾问\n", + "str_en = des_encrypt(req)\n", + "print(str_en.decode('utf-8'))\n", + "req_new = str_en.decode('utf-8')\n", + "payload = {\n", + " 'req':req_new,\n", + " 't':ts,\n", + " 'r':randint\n", + "}\n", + "\n", + "res = requests.post(url,data=payload)\n" + ], + "id": "fc98d87aa8b19ce2", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ZM6bNebKW1EGUtptuTOYEckre+5e1D71Y8ctpN5lD1xNhI3w5j8nHVuNidcwJ4ocxUj/Bxobdn2vCjpl2/6VA5vu3Z6XrxvJsKGP3FaJIOSB4m3PHQpzsI85uNqNysqVYpkhssITC4SM0OmPjzzdqQ==\n" + ] + } + ], + "execution_count": 3 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-13T08:12:33.285136400Z", + "start_time": "2026-03-13T08:12:33.246808900Z" + } + }, + "cell_type": "code", + "source": "impPrincipal_value", + "id": "8edd45ef4657d8ed", + "outputs": [ + { + "data": { + "text/plain": [ + "'171408516124043808'" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 26 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/测试宜搭转简道云接口.py b/test/测试宜搭转简道云接口.py new file mode 100644 index 0000000..2ef12e8 --- /dev/null +++ b/test/测试宜搭转简道云接口.py @@ -0,0 +1,10 @@ +# -*- coding: utf-8 -*- +import pandas as pd +import requests + +url = "https://manage-pre.f6yc.com/hive-admin/yida/renewal/updateNode" + +payload = {"instanceId":"15348c27-57b7-4285-b93b-87b3d41f5a28","nodeCode":"SIXTY","impPrincipal":"[\"053052302136860181\"]"} + +result = requests.post(url, data=payload) +print(result.text) \ No newline at end of file diff --git a/test/续约待办简道云回传宜搭.py b/test/续约待办简道云回传宜搭.py index 5ae9e3b..cb817be 100644 --- a/test/续约待办简道云回传宜搭.py +++ b/test/续约待办简道云回传宜搭.py @@ -449,6 +449,7 @@ class JDYToYDRenewalToDo(object): "30天是否跟进": "_widget_1764820541632", "30天处理人": "_widget_1764820541636", "30天跟进时间": "_widget_1765352838633", + "是否联系上":"_widget_1764820541638", "数据ID": "_id" } @@ -753,7 +754,7 @@ class JDYToYDRenewalToDo(object): key=lambda x: parse_dt(x.get("operateTimeGMT") or x.get("activeTimeGMT")), reverse=True, ) - # 优先使用当前待办（type == TODO），否则用最新一条 + # 优先使用当前待办（type == "TODO"），否则用最新一条 yd_todo = next((r for r in yd_records if str(r.get("type")).upper() == "TODO"), None) yd_latest = yd_todo or (yd_records[0] if yd_records else {}) yd_stage = extract_stage_from_text( diff --git a/test/续约待办迁移简道云流程节点刷数据.ipynb b/test/续约待办迁移简道云流程节点刷数据.ipynb index 4e69966..0802072 100644 --- a/test/续约待办迁移简道云流程节点刷数据.ipynb +++ b/test/续约待办迁移简道云流程节点刷数据.ipynb @@ -12,8 +12,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2026-03-07T07:05:32.929300200Z", - "start_time": "2026-03-07T07:05:03.359536500Z" + "end_time": "2026-03-24T12:25:29.114297900Z", + "start_time": "2026-03-24T12:21:54.226614400Z" } }, "source": [ @@ -28,8 +28,8 @@ "\n", "api_instance = API()\n", "\n", - "df = pd.read_excel(fr\"C:\\Users\\hp_z66\\Downloads\\续约服务流程_20260307145353.xlsx\", sheet_name='30天中间节点')\n", - "for index, row in tqdm(df.iterrows()):\n", + "df = pd.read_excel(fr\"C:\\Users\\hp_z66\\Downloads\\续约服务流程_20260324173958.xlsx\", sheet_name='0')\n", + "for index, row in tqdm(df.iterrows(),total=len(df)):\n", " # 查询流程\n", " payload = {\n", " \"data_id\": row[\"data_id\"],\n", @@ -67,22 +67,18 @@ " }\n", " result = api_instance.workflow_task_approve(payload_next)\n", " print(result)\n", - "\n", - "\n", - "\n", - "\n", "\n" ], "outputs": [ { "data": { "text/plain": [ - "0it [00:00, ?it/s]" + " 0%| | 0/227 [00:00