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履约表日期调整

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This commit is contained in:
z66
2025-12-02 17:34:47 +08:00
parent 6c316e6c61
commit 502b3d4e4e
12 changed files with 232 additions and 56 deletions
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test/json.json
+79
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@@ -0,0 +1,79 @@
{
'data': {
'_id': '68d39a00bc54693f3c1e47d4',
'creator': {
'name': '王兴财',
'username': '02480455276729107961',
'status': 1,
'type': 0,
'departments': [
177751223
],
'integrate_id': '02480455276729107961'
},
'updater': {
'name': '王兴财',
'username': '02480455276729107961',
'status': 1,
'type': 0,
'departments': [
177751223
],
'integrate_id': '02480455276729107961'
},
'deleter': None,
'createTime': '2025-09-24T07:13:04.967Z',
'updateTime': '2025-09-24T07:13:04.967Z',
'deleteTime': None,
'_widget_1734589432084': '67ebe4846c3e7153268e9004',
'_widget_1735268263061': '续约后180天回访',
'_widget_1735268263079': '检测单',
'_widget_1735268263063': '是',
'_widget_1735268263065': '否',
'_widget_1735268263067': '',
'_widget_1735527329557': '',
'_widget_1736414617462': '是',
'_widget_1735268263069': '',
'_widget_1735268263070': '多次去电未接听，需区域协助联系',
'_widget_1735268263071': '',
'_widget_1735268263072': '',
'_widget_1764293754939': '',
'_widget_1735280720550': '10546443563957342000',
'_widget_1735268263062': '2025-09-24T07:12:59.124Z',
'_widget_1734589782134': {
'name': '王兴财',
'username': '02480455276729107961',
'status': 1,
'type': 0,
'departments': [
177751223
],
'integrate_id': '02480455276729107961'
},
'_widget_1743128977141': {
'name': '吴间锐',
'username': '283227523421943504',
'status': 1,
'type': 0,
'departments': [
122323520
],
'integrate_id': '283227523421943504'
},
'_widget_1743129332378': {
'name': '熊斌',
'username': '2530511650927042',
'status': 1,
'type': 0,
'departments': [
122323520
],
'integrate_id': '2530511650927042'
},
'_widget_1745207582477': '其他',
'_widget_1745207582479': '',
'_widget_1745207582481': '',
'appId': '675b900991ad2491c69389ca',
'entryId': '6763bbf657bd8fb76fcb41b2'
}
}
test/udeskapi测试.ipynb
+1 -1
View File
@@ -14,7 +14,7 @@
"import requests\n",
"\n",
"headers = {\n",
" 'content-type': 'application/json',\n",
" 'content-type': 'application/json.json',\n",
"}\n",
"\n",
"json_data = {\n",
test/yida_xuyuedaiban_paifa.py
+13 -13
View File
@@ -76,7 +76,7 @@ def read_instances(token, formUuid, page, n):
api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
@@ -99,7 +99,7 @@ def read_delete(token, formInstanceId):
api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
@@ -119,7 +119,7 @@ def read_new(FORMID,formData):
api = f'https://api.dingtalk.com/v1.0/yida/forms/instances'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": TOKEN
}
payload = {
@@ -141,13 +141,13 @@ def component(FORMID,TOKEN):
api = f'https://api.dingtalk.com//v1.0/yida/forms/formFields'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": TOKEN
}
payload = {
"formUuid" : FORMID,
"appType" : "APP_UYZ0KG6L0CCNV80GZ66O",
# "formDataJson" : json.dumps(formData, cls=NpEncoder),
# "formDataJson" : json.json.dumps(formData, cls=NpEncoder),
"systemToken" : "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
# "language" : "zh_CN",
"userId" : "yida_pub_account"
@@ -161,7 +161,7 @@ def initiate_process(TOKEN,formData):
api = f'https://api.dingtalk.com//v1.0/yida/processes/instances/start'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": TOKEN
}
payload = {
@@ -182,7 +182,7 @@ def delete_in_batches(FORMID,TOKEN,ALL_DATA_instance):
api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/batchRemove'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": TOKEN
}
@@ -204,7 +204,7 @@ def delete_in(TOKEN,formInstanceIdList):
api = f'https://api.dingtalk.com//v1.0/yida/forms/instances?appType=APP_UYZ0KG6L0CCNV80GZ66O&systemToken=XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2&userId=yida_pub_account&language=zh_CN&formInstanceId={formInstanceIdList}'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": TOKEN
}
res = requests.delete(api, headers=headers)
@@ -216,7 +216,7 @@ def read_instances_ngv(token, formUuid, page, n,searchField):
api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
@@ -437,7 +437,7 @@ try:
yida_api = "https://api.dingtalk.com/v1.0/yida/processes/instances/start"
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
@@ -479,7 +479,7 @@ try:
yida_api = "https://api.dingtalk.com/v1.0/yida/processes/instances/start"
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
@@ -522,7 +522,7 @@ except:
yida_api = "https://api.dingtalk.com/v1.0/yida/processes/instances/start"
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
@@ -582,7 +582,7 @@ try:
yida_api = "https://api.dingtalk.com/v1.0/yida/processes/instances/start"
headers = {
"Content-Type": "application/json",
"Content-Type": "application/json.json",
"x-acs-dingtalk-access-token": token
}
test/功能使用情况数据id导出.ipynb
+87
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@@ -0,0 +1,87 @@
{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "# 功能使用情况数据id导出",
"id": "6f83c58449d34b7e"
},
{
"cell_type": "code",
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2025-11-28T02:48:44.131617Z",
"start_time": "2025-11-28T02:48:43.777253Z"
}
},
"source": [
"from api import API\n",
"import pandas as pd\n",
"from tqdm.notebook import tqdm\n",
"\n",
"api_instance = API()\n",
"\n",
"df = pd.read_excel(fr\"C:\\Users\\zy187\\Desktop\\钉钉文件\\功能使用情况_20251128102519.xlsx\",sheet_name=\"功能使用情况\")\n",
"\n",
"all_data = []\n",
"for index,row in tqdm(df.iterrows()):\n",
" print(row[\"data_id\"])\n",
" payload = {\n",
" \"data_id\": row[\"data_id\"]\n",
" , \"api_key\": \"675b900991ad2491c69389ca\"\n",
" , \"entry_id\": \"6763bbf657bd8fb76fcb41b2\"\n",
" }\n",
" print( payload)\n",
" res = api_instance.entry_data_get(payload)\n",
"\n",
" org_name = res.get(\"data\").get(\"_widget_1734589432084\")\n",
" all_data.append([row[\"data_id\"],org_name])\n",
"\n",
"df1 = pd.DataFrame(all_data)\n",
"df1.to_excel(fr\"C:\\Users\\zy187\\Desktop\\钉钉文件\\功能使用情况_20251128102519_data_id.xlsx\",index=False)\n"
],
"outputs": [
{
"ename": "RuntimeError",
"evalue": "CPU dispatcher tracer already initlized",
"output_type": "error",
"traceback": [
"\u001B[31m---------------------------------------------------------------------------\u001B[39m",
"\u001B[31mRuntimeError\u001B[39m Traceback (most recent call last)",
"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[4]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mapi\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m API\n\u001B[32m 2\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mpandas\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mas\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mpd\u001B[39;00m\n\u001B[32m 3\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mtqdm\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mnotebook\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m tqdm\n",
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Idea Project\\SaaS_V1.7\\api.py:10\u001B[39m\n\u001B[32m 8\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mdecimal\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Decimal\n\u001B[32m 9\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mtime\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m10\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnumpy\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mas\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnp\u001B[39;00m\n\u001B[32m 11\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mlog_config\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m configure_task_logger, configure_error_task_logger\n\u001B[32m 12\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mjson\u001B[39;00m\n",
"\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\__init__.py:125\u001B[39m\n\u001B[32m 122\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m _distributor_init\n\u001B[32m 124\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m125\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnumpy\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01m__config__\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m show_config\n\u001B[32m 126\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mImportError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 127\u001B[39m msg = \u001B[33m\"\"\"\u001B[39m\u001B[33mError importing numpy: you should not try to import numpy from\u001B[39m\n\u001B[32m 128\u001B[39m \u001B[33m its source directory; please exit the numpy source tree, and relaunch\u001B[39m\n\u001B[32m 129\u001B[39m \u001B[33m your python interpreter from there.\u001B[39m\u001B[33m\"\"\"\u001B[39m\n",
"\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\__config__.py:4\u001B[39m\n\u001B[32m 1\u001B[39m \u001B[38;5;66;03m# This file is generated by numpy's build process\u001B[39;00m\n\u001B[32m 2\u001B[39m \u001B[38;5;66;03m# It contains system_info results at the time of building this package.\u001B[39;00m\n\u001B[32m 3\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01menum\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Enum\n\u001B[32m----> \u001B[39m\u001B[32m4\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnumpy\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01m_core\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01m_multiarray_umath\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m (\n\u001B[32m 5\u001B[39m __cpu_features__,\n\u001B[32m 6\u001B[39m __cpu_baseline__,\n\u001B[32m 7\u001B[39m __cpu_dispatch__,\n\u001B[32m 8\u001B[39m )\n\u001B[32m 10\u001B[39m __all__ = [\u001B[33m\"\u001B[39m\u001B[33mshow_config\u001B[39m\u001B[33m\"\u001B[39m]\n\u001B[32m 11\u001B[39m _built_with_meson = \u001B[38;5;28;01mTrue\u001B[39;00m\n",
"\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\_core\\__init__.py:22\u001B[39m\n\u001B[32m 19\u001B[39m env_added.append(envkey)\n\u001B[32m 21\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m---> \u001B[39m\u001B[32m22\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m multiarray\n\u001B[32m 23\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mImportError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m exc:\n\u001B[32m 24\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01msys\u001B[39;00m\n",
"\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\_core\\multiarray.py:11\u001B[39m\n\u001B[32m 1\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 2\u001B[39m \u001B[33;03mCreate the numpy._core.multiarray namespace for backward compatibility.\u001B[39;00m\n\u001B[32m 3\u001B[39m \u001B[33;03mIn v1.16 the multiarray and umath c-extension modules were merged into\u001B[39;00m\n\u001B[32m (...)\u001B[39m\u001B[32m 6\u001B[39m \n\u001B[32m 7\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 9\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mfunctools\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m11\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m _multiarray_umath, overrides\n\u001B[32m 12\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[34;01m_multiarray_umath\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m * \u001B[38;5;66;03m# noqa: F403\u001B[39;00m\n\u001B[32m 14\u001B[39m \u001B[38;5;66;03m# These imports are needed for backward compatibility,\u001B[39;00m\n\u001B[32m 15\u001B[39m \u001B[38;5;66;03m# do not change them. issue gh-15518\u001B[39;00m\n\u001B[32m 16\u001B[39m \u001B[38;5;66;03m# _get_ndarray_c_version is semi-public, on purpose not added to __all__\u001B[39;00m\n",
"\u001B[31mRuntimeError\u001B[39m: CPU dispatcher tracer already initlized"
]
}
],
"execution_count": 4
}
],
"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
}
test/数据id导出.py
+24
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@@ -0,0 +1,24 @@
from api import API
import pandas as pd
from tqdm import tqdm
api_instance = API()
df = pd.read_excel(fr"C:\Users\zy187\Desktop\钉钉文件\功能使用情况_20251128102519.xlsx",sheet_name="功能使用情况")
all_data = []
for index,row in tqdm(df.iterrows(),total=len(df)):
# print(row["data_id"])
payload = {
"data_id": row["data_id"]
, "api_key": "675b900991ad2491c69389ca"
, "entry_id": "6763bbf657bd8fb76fcb41b2"
}
res = api_instance.entry_data_get(payload)
org_name = res.get("data").get("_widget_1734589432084")
all_data.append([row["data_id"],org_name])
df1 = pd.DataFrame(all_data)
df1.to_excel(fr"C:\Users\zy187\Desktop\钉钉文件\功能使用情况_20251128102519_data_id.xlsx",index=False)