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512song committed 2024-09-20 19:46:44 +08:00
1 parent 63f678daf4
commit 96f043313c
4 files changed
+445 -670

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+12 -395
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@@ -61,7 +61,9 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f", "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
"metadata": {}, "metadata": {
"jp-MarkdownHeadingCollapsed": true
},
"source": [ "source": [
"## 获取人员测试成绩" "## 获取人员测试成绩"
] ]
@@ -176,7 +178,9 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "d034a61d-1fbd-417b-99bd-277e43ebb678", "id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
"metadata": {}, "metadata": {
"jp-MarkdownHeadingCollapsed": true
},
"source": [ "source": [
"## 导出测试人员信息" "## 导出测试人员信息"
] ]
@@ -248,7 +252,9 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "d794e69d-9444-4765-9b7d-8dcb0f8c4343", "id": "d794e69d-9444-4765-9b7d-8dcb0f8c4343",
"metadata": {}, "metadata": {
"jp-MarkdownHeadingCollapsed": true
},
"source": [ "source": [
"## 导入问卷信息" "## 导入问卷信息"
] ]
@@ -378,7 +384,9 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581", "id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581",
"metadata": {}, "metadata": {
"jp-MarkdownHeadingCollapsed": true
},
"source": [ "source": [
"## 获取问卷人员信息" "## 获取问卷人员信息"
] ]
@@ -557,397 +565,6 @@
"## 核对人员成绩" "## 核对人员成绩"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "ee84a3ce-deb7-4345-a4a4-877872996e1c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"items = ['bmi','lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
"bmi = ['height','weight']\n",
"\n",
"\n",
"filename = 'data/727410_pdf.json'\n",
"with open(filename,'r') as fl:\n",
" list2 = json.load(fl)\n",
"\n",
"filename = 'data/result_东营老年大学1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
" \n",
"\n",
"for xm in list2: \n",
" id = xm['id']\n",
" if str(id) in dict1.keys():\n",
" #print(id,xm['name'])\n",
" for item in xm['fits'].keys():\n",
" y_score = xm['fits'][item]['score']\n",
" if item not in dict1[str(id)].keys() or y_score != dict1[str(id)][item]['score']:\n",
" print(id,xm['name'],item,'no')"
]
},
{
"cell_type": "markdown",
"id": "e76ef95a-25dc-45f2-8b8c-617acbf546c1",
"metadata": {},
"source": [
"## 更新人员手机号码"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "37e24019-9b79-4748-ae6a-2bdb6052862d",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"\n",
"wb = openpyxl.load_workbook('data/东营老年大学电话.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"\n",
"for n in range(2, sheet.max_row+1):\n",
" code = str(sheet.cell(n, 3).value)\n",
" phone = sheet.cell(n, 1).value\n",
" if code in dict1.keys():\n",
" print(phone,code,dict1[code]['phone'])\n",
" dict1[code]['phone'] = phone\n",
" \n",
" \n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "7ac62aed-6256-4bd2-a563-5f6e34504121",
"metadata": {},
"source": [
"## 核对人员手机号码"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "42b7cd7d-3446-4abf-91f2-c85d447231e9",
"metadata": {},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"\n",
"wb = openpyxl.load_workbook('data/6.20日北体花名册.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"dict2 = {}\n",
"\n",
"for n in range(3, sheet.max_row+1):\n",
" phone = int(sheet.cell(n, 3).value)\n",
" \n",
" dict2[phone] = sheet.cell(n, 2).value\n",
"i = 1\n",
"for k, v in dict1.items():\n",
" if 'phone' in v.keys() and v['phone'] in dict2.keys() :\n",
" print(i,v['name'],dict2[v['phone']])\n",
" i+=1"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bd4b91e9-289c-4f21-aab6-846b5f98c493",
"metadata": {},
"outputs": [],
"source": [
"%reset -f\n",
"\n",
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"\n",
"filename = 'data/东营老年大学.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"dict2 = {}\n",
"for k, v in dict1.items():\n",
" if 'phone' in v.keys():\n",
" dict2[v['phone']] = v['name']\n",
"wb = openpyxl.load_workbook('data/6.20日北体花名册.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"\n",
"\n",
"for n in range(3, sheet.max_row+1):\n",
" phone = int(sheet.cell(n, 3).value)\n",
" if phone not in dict2.keys():\n",
" print(sheet.cell(n, 2).value)\n",
" \n",
"print(dict2) "
]
},
{
"cell_type": "markdown",
"id": "dacbf0e8-f456-478f-8253-2824d68d092c",
"metadata": {},
"source": [
"## 合并分日测试信息"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "162364f8-8ae9-4bbb-8fb1-e9181ececf02",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-14T12:37:55.393433Z",
"iopub.status.busy": "2024-09-14T12:37:55.392657Z",
"iopub.status.idle": "2024-09-14T12:37:55.424141Z",
"shell.execute_reply": "2024-09-14T12:37:55.423583Z",
"shell.execute_reply.started": "2024-09-14T12:37:55.393359Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"170\n"
]
}
],
"source": [
"import json\n",
"from datetime import date\n",
"\n",
"filename = 'data/result_北体体质康健1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"filename = 'data/result_北体体质康健2.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl) \n",
"\n",
"n = 50\n",
"for k, v in dict2.items():\n",
" dict1[n+int(k)] = v\n",
" \n",
"filename = 'data/result_北体体质康健.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False) \n",
"print(len(dict1))"
]
},
{
"cell_type": "markdown",
"id": "ddda3101-052a-45c5-87af-65333b4ba141",
"metadata": {},
"source": [
"## 补充问卷人员信息"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "8e025cb5-8c9f-4eb9-a66e-863df32881c8",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-14T12:37:09.151657Z",
"iopub.status.busy": "2024-09-14T12:37:09.150889Z",
"iopub.status.idle": "2024-09-14T12:37:09.186568Z",
"shell.execute_reply": "2024-09-14T12:37:09.186032Z",
"shell.execute_reply.started": "2024-09-14T12:37:09.151586Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"wb = openpyxl.load_workbook('data/北体体质康健.xlsx')\n",
"sheet = wb.active\n",
"filename = 'data/result_北体体质康健.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"filename = 'data/北体体质康健.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl) \n",
"for n in range(1, sheet.max_row+1):\n",
" code = str(sheet.cell(n, 1).value)\n",
" if code in dict1.keys(): \n",
" if sheet.cell(n,5).value is not None:\n",
" dict1[code]['phone'] = str(sheet.cell(n,5).value)\n",
" else:\n",
" dict1[code]= dict2[code]\n",
" rq = '2024-09-14'\n",
" birth = dict2[code]['birth']\n",
" days = (rq-birth).days \n",
" dict1[code]['age'] = int(days/365)\n",
" dict1[code]['month'] = int(days/365*12)\n",
" \n",
"filename = 'data/result_北体体质康健.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "ef75192e-a6ec-4d72-88b4-7645ce6d0aed",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-14T12:43:31.977618Z",
"iopub.status.busy": "2024-09-14T12:43:31.976867Z",
"iopub.status.idle": "2024-09-14T12:43:31.999628Z",
"shell.execute_reply": "2024-09-14T12:43:31.999148Z",
"shell.execute_reply.started": "2024-09-14T12:43:31.977549Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import json\n",
"from datetime import date\n",
"filename = 'data/result_北体体质康健2.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"for k,v in dict1.items():\n",
" if 'month' not in v.keys():\n",
" rq = date.fromisoformat(v['rq'])\n",
" birth = date.fromisoformat(v['birth'])\n",
" days = (rq-birth).days \n",
" dict1[k]['age'] = int(days/365)\n",
" dict1[k]['month'] = int(days/365*12)\n",
"with open(filename, 'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False)\n",
"print('ok') "
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "99c612c8-aa47-4ed8-b866-c8d2edcaea4b",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-14T12:45:56.907974Z",
"iopub.status.busy": "2024-09-14T12:45:56.907231Z",
"iopub.status.idle": "2024-09-14T12:46:35.198207Z",
"shell.execute_reply": "2024-09-14T12:46:35.197069Z",
"shell.execute_reply.started": "2024-09-14T12:45:56.907903Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"79\n"
]
}
],
"source": [
"import requests\n",
"import json\n",
"import openpyxl\n",
"\n",
"\n",
"headers = {\n",
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
" }\n",
"filename = 'data/result_北体体质康健2.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./北体体质康健班/'\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
"i=0\n",
"list2 = []\n",
"for k, v in dict1.items():\n",
" list1 = []\n",
" mydata = {}\n",
" \n",
" id = str(k).rjust(4,\"0\")\n",
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
" mydata['title'] = '北体体质康健班'\n",
" mydata['subtitle'] = ''\n",
" mydata['id'] = id\n",
" mydata['name'] = v['name']\n",
" if v['sex'] == '男':\n",
" mydata['gender'] = 'male'\n",
" else:\n",
" mydata['gender'] = 'female'\n",
" \n",
" mydata['month'] = v['month']\n",
" mydata['fits'] = {}\n",
" survey_list = ['tcm','psy','spine']\n",
" for item in survey_list:\n",
" if item in v.keys():\n",
" mydata.setdefault('surveys',{})\n",
" mydata['surveys'][item] = v[item]\n",
" \n",
" \n",
" #mydata['fits'] = {}\n",
" for item in list_item:\n",
" if item in v.keys():\n",
" mydata.setdefault('fits',{})\n",
" if item in ['lung','pushup','step','situp']:\n",
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
" else:\n",
" mark = v[item]['成绩'].split()[0]\n",
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
" if len(mydata['fits']) >2 : \n",
" list1.append(mydata)\n",
" list2.append([k,v['name']])\n",
" i+=1\n",
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
" #print(id,v['name'],x.text)\n",
" #print(mydata)\n",
" #x.close()\n",
"print(i)"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
+32 -206
View File
@@ -23,10 +23,10 @@
"mydb = myclient[\"baogao\"]\n", "mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"place\"]\n", "mycol = mydb[\"place\"]\n",
"\n", "\n",
"place_id = 698465\n", "place_id = 727411\n",
"place_code = \"06\"\n", "place_code = \"13\"\n",
"dw_name = \"天宫院社区\"\n", "dw_name = \"北体体质康健班\"\n",
"dw_jc = \"天宫院社区\"\n", "dw_jc = \"北体体质康健班\"\n",
"myquery = { \"id\": place_id }\n", "myquery = { \"id\": place_id }\n",
"num = mycol.count_documents(myquery)\n", "num = mycol.count_documents(myquery)\n",
"if num>0:\n", "if num>0:\n",
@@ -46,26 +46,10 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": null,
"id": "6ce2cbc7-435a-461c-bdb8-abd9a6962fbc", "id": "6ce2cbc7-435a-461c-bdb8-abd9a6962fbc",
"metadata": { "metadata": {},
"execution": { "outputs": [],
"iopub.execute_input": "2024-08-11T11:24:39.665184Z",
"iopub.status.busy": "2024-08-11T11:24:39.664256Z",
"iopub.status.idle": "2024-08-11T11:24:39.691000Z",
"shell.execute_reply": "2024-08-11T11:24:39.690127Z",
"shell.execute_reply.started": "2024-08-11T11:24:39.665085Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [ "source": [
"import openpyxl\n", "import openpyxl\n",
"import os,sys,shutil\n", "import os,sys,shutil\n",
@@ -79,10 +63,10 @@
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
"mydb = myclient[\"baogao\"]\n", "mydb = myclient[\"baogao\"]\n",
"\n", "\n",
"place_id = 698465\n", "place_id = 727411\n",
"place_code = \"06\"\n", "place_code = \"13\"\n",
"dw_name = \"淄博积家村\"\n", "dw_name = \"北体体质康健班\"\n",
"dw_jc = \"淄博积家村\"\n", "dw_jc = \"北体体质康健班\"\n",
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n", "fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n", "fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
"\n", "\n",
@@ -113,53 +97,13 @@
" #fi_name =Path(fn).stem\n", " #fi_name =Path(fn).stem\n",
" code = int(fi_name)\n", " code = int(fi_name)\n",
" dxm = list1[i]\n", " dxm = list1[i]\n",
" dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name,'rq':'20240811'}\n", " dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name,'rq':'20240914'}\n",
" list2.append(dict2)\n", " list2.append(dict2)\n",
" i +=1\n", " i +=1\n",
"x = mycol.insert_many(list2)\n", "x = mycol.insert_many(list2)\n",
"print('ok') " "print('ok') "
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "1ca065ca-d999-4e3f-841b-16f9666b6975",
"metadata": {},
"outputs": [],
"source": [
"import openpyxl\n",
"import os,sys,shutil\n",
"import json\n",
"import math\n",
"import glob\n",
"import random\n",
"from pathlib import Path\n",
"import pymongo\n",
"\n",
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
"mydb = myclient[\"baogao\"]\n",
"\n",
"place_id = 727410\n",
"place_code = \"08\"\n",
"dw_name = \"北体体质康健实验班\"\n",
"dw_jc = \"北体体质康健实验班\"\n",
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
"\n",
"code_list = []\n",
"for i in range(10): # 0~9\n",
" code_list.append(str(i))\n",
"list1 = []\n",
"mycol = mydb[\"pdf\"]\n",
"query1 = { \"place_id\": place_id }\n",
"list2 = []\n",
"mydoc = mycol.find(query1,{ \"code\": 1, \"_id\": 0 })\n",
"\n",
"for x in mydoc:\n",
" list2.append(x['code'])\n",
"print(list2)"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "ad9e943a-bb3a-4d58-93ef-cc442a80effa", "id": "ad9e943a-bb3a-4d58-93ef-cc442a80effa",
@@ -170,64 +114,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": null,
"id": "5f665c0f-8d30-4759-b7f8-fb7e13b98efa", "id": "5f665c0f-8d30-4759-b7f8-fb7e13b98efa",
"metadata": { "metadata": {
"execution": {
"iopub.execute_input": "2024-08-11T11:26:41.537017Z",
"iopub.status.busy": "2024-08-11T11:26:41.536326Z",
"iopub.status.idle": "2024-08-11T11:26:41.562731Z",
"shell.execute_reply": "2024-08-11T11:26:41.561622Z",
"shell.execute_reply.started": "2024-08-11T11:26:41.536952Z"
},
"tags": [] "tags": []
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"5 no phone\n",
"22 no phone\n",
"19 no phone\n",
"38 no phone\n",
"25 no phone\n",
"6 no phone\n",
"8 no phone\n",
"26 no phone\n",
"15 no phone\n",
"13 no phone\n",
"20 no phone\n",
"23 no phone\n",
"27 no phone\n",
"10 no phone\n",
"21 no phone\n",
"3 no phone\n",
"30 no phone\n",
"11 no phone\n",
"14 no phone\n",
"24 no phone\n",
"1 15153309038 9-曹秀芹.pdf\n",
"2 13573332133 17-段玉华.pdf\n",
"3 13964491825 7-韩美华.pdf\n",
"4 15553344004 1-张爱英.pdf\n",
"5 15853389189 36-袁会富.pdf\n",
"6 15069350919 16-王芹英.pdf\n",
"7 15165846001 2-张俊华.pdf\n",
"8 13070650793 18-肖翠花.pdf\n",
"9 13455364491 35-王霞.pdf\n",
"10 15853380767 28-肖爱英.pdf\n",
"11 13646430765 29-梁桂岭.pdf\n",
"12 13053316892 12-孙宗玲.pdf\n",
"13 13287885248 31-杜婷.pdf\n",
"14 13153385772 32-崔杰.pdf\n",
"15 15169224472 33-姚桂银.pdf\n",
"16 13583398468 4-尚永.pdf\n",
"17 18653305998 37-李琳.pdf\n",
"18 13869390557 34-徐爱锋.pdf\n"
]
}
],
"source": [ "source": [
"from tencentcloud.common import credential\n", "from tencentcloud.common import credential\n",
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
@@ -241,13 +133,13 @@
"mydb = myclient[\"baogao\"]\n", "mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"pdf\"]\n", "mycol = mydb[\"pdf\"]\n",
"\n", "\n",
"dw_jc = \"淄博积家村测试者\"\n", "dw_jc = \"北体体质康健班\"\n",
"filename = 'data/积家基础数据2408.json'\n", "filename = 'data/北体体质康健.json'\n",
"with open(filename,'r') as fl:\n", "with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n", " dict1 = json.load(fl) \n",
"dict2 = {}\n", "dict2 = {}\n",
"#place_id = 571315\n", "#place_id = 571315\n",
"myquery = { \"place_id\": place_id,\"rq\":'20240811' }\n", "myquery = { \"place_id\": place_id,\"rq\":'20240914' }\n",
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n", "for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
" code = int(x['fn'].split('-')[0])\n", " code = int(x['fn'].split('-')[0])\n",
" if str(code) in dict1.keys() and 'phone' in dict1[str(code)].keys():\n", " if str(code) in dict1.keys() and 'phone' in dict1[str(code)].keys():\n",
@@ -302,64 +194,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": null,
"id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3", "id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3",
"metadata": { "metadata": {
"execution": {
"iopub.execute_input": "2024-08-11T11:28:21.443578Z",
"iopub.status.busy": "2024-08-11T11:28:21.442841Z",
"iopub.status.idle": "2024-08-11T11:28:25.277992Z",
"shell.execute_reply": "2024-08-11T11:28:25.276474Z",
"shell.execute_reply.started": "2024-08-11T11:28:21.443507Z"
},
"tags": [] "tags": []
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"no phone\n",
"15153309038 send success\n",
"13573332133 send success\n",
"13964491825 send success\n",
"15553344004 send success\n",
"15853389189 send success\n",
"15069350919 send success\n",
"15165846001 send success\n",
"13070650793 send success\n",
"13455364491 send success\n",
"15853380767 send success\n",
"13646430765 send success\n",
"13053316892 send success\n",
"13287885248 send success\n",
"13153385772 send success\n",
"15169224472 send success\n",
"13583398468 send success\n",
"18653305998 send success\n",
"13869390557 send success\n"
]
}
],
"source": [ "source": [
"from tencentcloud.common import credential\n", "from tencentcloud.common import credential\n",
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
@@ -368,18 +208,19 @@
"from tencentcloud.common.profile.http_profile import HttpProfile\n", "from tencentcloud.common.profile.http_profile import HttpProfile\n",
"import json\n", "import json\n",
"import pymongo\n", "import pymongo\n",
"import time\n",
"\n", "\n",
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
"mydb = myclient[\"baogao\"]\n", "mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"pdf\"]\n", "mycol = mydb[\"pdf\"]\n",
"\n", "\n",
"dw_jc = \"淄博积家村测试者\"\n", "dw_jc = \"北体体质康健班测试者\"\n",
"filename = 'data/积家基础数据2408.json'\n", "filename = 'data/北体体质康健.json'\n",
"with open(filename,'r') as fl:\n", "with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n", " dict1 = json.load(fl) \n",
"dict2 = {}\n", "dict2 = {}\n",
"#place_id = 571315\n", "#place_id = 571315\n",
"myquery = { \"place_id\": place_id,\"rq\":'20240811' }\n", "myquery = { \"place_id\": place_id,\"rq\":'20240914' }\n",
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n", "for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
" code = int(x['fn'].split('-')[0])\n", " code = int(x['fn'].split('-')[0])\n",
" if str(code) in dict1.keys() and 'phone' in dict1[str(code)].keys():\n", " if str(code) in dict1.keys() and 'phone' in dict1[str(code)].keys():\n",
@@ -387,7 +228,7 @@
" else:\n", " else:\n",
" print('no phone')\n", " print('no phone')\n",
"#print(dict2)\n", "#print(dict2)\n",
"dw_jc = \"世纪花园测试者\"\n", "#dw_jc = \"北体体质康健班测试者\"\n",
"#dict2 = {375: {'phone': '13793180751', 'code': '0379208'}}\n", "#dict2 = {375: {'phone': '13793180751', 'code': '0379208'}}\n",
"for k, v in dict2.items():\n", "for k, v in dict2.items():\n",
" phone = '+86'+v['phone']\n", " phone = '+86'+v['phone']\n",
@@ -416,8 +257,8 @@
" req.SenderId = \"\"\n", " req.SenderId = \"\"\n",
" resp = client.SendSms(req)\n", " resp = client.SendSms(req)\n",
" dict3 = json.loads(resp.to_json_string(indent=2))\n", " dict3 = json.loads(resp.to_json_string(indent=2))\n",
"\n",
" print(v['phone'],dict3['SendStatusSet'][0][\"Message\"])\n", " print(v['phone'],dict3['SendStatusSet'][0][\"Message\"])\n",
" time.sleep(2)\n",
" except TencentCloudSDKException as err:\n", " except TencentCloudSDKException as err:\n",
" print(v['phone'],err)" " print(v['phone'],err)"
] ]
@@ -443,27 +284,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": null,
"id": "25a269c3-758f-4e79-ae6d-a6e6f161d64b", "id": "25a269c3-758f-4e79-ae6d-a6e6f161d64b",
"metadata": { "metadata": {
"execution": {
"iopub.execute_input": "2024-08-11T10:49:44.708154Z",
"iopub.status.busy": "2024-08-11T10:49:44.707426Z",
"iopub.status.idle": "2024-08-11T10:49:44.956435Z",
"shell.execute_reply": "2024-08-11T10:49:44.954940Z",
"shell.execute_reply.started": "2024-08-11T10:49:44.708083Z"
},
"tags": [] "tags": []
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"+8613793180751 send success\n"
]
}
],
"source": [ "source": [
"from tencentcloud.common import credential\n", "from tencentcloud.common import credential\n",
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
@@ -477,12 +303,12 @@
"mydb = myclient[\"baogao\"]\n", "mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"pdf\"]\n", "mycol = mydb[\"pdf\"]\n",
"\n", "\n",
"filename = 'data/世纪花园基础数据240808.json'\n", "filename = 'data/北体体质康健.json'\n",
"with open(filename,'r') as fl:\n", "with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n", " dict1 = json.load(fl) \n",
"dict2 = {}\n", "dict2 = {}\n",
"#place_id = 571315\n", "#place_id = 571315\n",
"myquery = { \"place_id\": place_id,\"rq\":'20240811' }\n", "myquery = { \"place_id\": place_id,\"rq\":'20240914' }\n",
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n", "for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
" code = int(x['fn'].split('-')[0])\n", " code = int(x['fn'].split('-')[0])\n",
" if str(code) in dict1.keys() and 'phone' in dict1[str(code)].keys():\n", " if str(code) in dict1.keys() and 'phone' in dict1[str(code)].keys():\n",
@@ -490,10 +316,10 @@
" else:\n", " else:\n",
" print('no phone')\n", " print('no phone')\n",
"#print(dict2)\n", "#print(dict2)\n",
"dw_jc = \"世纪花园测试者\"\n", "dw_jc = \"北体体质康健班测试者\"\n",
"\n", "\n",
"phone = '+86'+'13793180751'\n", "phone = '+86'+'18854609676'\n",
"yzm = '05403'\n", "yzm = '13306'\n",
"try: \n", "try: \n",
" secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n", " secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
" secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n", " secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",
+396
View File
@@ -0,0 +1,396 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "338fb8da-815a-4536-ae91-4f461ba9401f",
"metadata": {},
"source": [
"## 体测人员导入"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "ba24132c-133f-4508-8fe7-e68d1908b6e9",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-20T08:47:18.577809Z",
"iopub.status.busy": "2024-09-20T08:47:18.577022Z",
"iopub.status.idle": "2024-09-20T08:47:18.914709Z",
"shell.execute_reply": "2024-09-20T08:47:18.914113Z",
"shell.execute_reply.started": "2024-09-20T08:47:18.577734Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"wb = openpyxl.load_workbook('data/镇海体质监测报名.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"\n",
"for n in range(2, sheet.max_row+1):\n",
" code = int(sheet.cell(n, 1).value)\n",
" person.setdefault(code, {})\n",
" dict1 = {}\n",
" dict1['name'] = sheet.cell(n, 2).value\n",
" dict1['sex'] = sheet.cell(n, 3).value\n",
" dict1['unit'] = sheet.cell(n, 7).value\n",
" dict1['gh'] = sheet.cell(n, 5).value\n",
" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
" dict1['phone'] = str(sheet.cell(n,4).value)\n",
" person[code] = dict1\n",
"filename = 'data/镇海.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "10ddfd3b-697c-4459-8bed-147b22f88239",
"metadata": {},
"source": [
"## 生成读卡系统文件"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "63ab2d5b-3a0a-4ac7-a3e7-b3a34e621e98",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-17T01:49:44.352863Z",
"iopub.status.busy": "2024-09-17T01:49:44.352020Z",
"iopub.status.idle": "2024-09-17T01:49:44.374799Z",
"shell.execute_reply": "2024-09-17T01:49:44.374342Z",
"shell.execute_reply.started": "2024-09-17T01:49:44.352780Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import json\n",
"\n",
"filename = 'data/镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"for k, v in dict1.items():\n",
" dict2 = {}\n",
" #if dict1['sex'] =='男':\n",
" # sex = 1\n",
" \n",
" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
" list1.append(dict2)\n",
"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
"\n",
"# 将 json 数据写入文件\n",
"with open(\"data/data_镇海.json\", \"w\",encoding = 'utf-8') as file:\n",
" file.write(json_data) \n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "b6dd08b0-f58c-4dc1-86a9-e7b2b84478c3",
"metadata": {},
"source": [
"## 获取人员测试成绩"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "5d864909-d10f-461d-8e6e-dc5c43613576",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-20T08:48:09.078723Z",
"iopub.status.busy": "2024-09-20T08:48:09.077996Z",
"iopub.status.idle": "2024-09-20T08:48:09.151435Z",
"shell.execute_reply": "2024-09-20T08:48:09.150864Z",
"shell.execute_reply.started": "2024-09-20T08:48:09.078657Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"934\n",
"934\n"
]
}
],
"source": [
"import json\n",
"import time\n",
"import csv\n",
"\n",
"filename = '../item.json'\n",
"item = {}\n",
"unit = {}\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"for k,v in dict1.items():\n",
" item[k] = v\n",
"re_ta = {}\n",
"dict1 = {}\n",
"list1 = []\n",
"filename = 'data/镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20240920.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
" list1.append(line)\n",
"#print(list1)\n",
"for result in list1:\n",
" user = str(result[2])\n",
" if user in dict1.keys(): \n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
" re_ta[user]['name'] = dict1[user]['name']\n",
" re_ta[user]['sex'] = dict1[user]['sex'] \n",
" re_ta[user]['unit'] = dict1[user]['unit']\n",
" #re_ta[user]['sub_unit'] = dict1[user]['sub_unit']\n",
" item_name = item[m_item]['name']\n",
" re_ta[user].setdefault(item_name,{}) \n",
" score = int(result[4])/item[m_item]['divisor'] \n",
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
"print(len(re_ta))\n",
"filename = 'data/result_镇海.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(re_ta, fl, ensure_ascii=False) \n",
"print(len(re_ta))"
]
},
{
"cell_type": "markdown",
"id": "a08c6b65-a390-451b-b1a5-fc474db40035",
"metadata": {},
"source": [
"## 导出测试人员信息"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "bc79f0d2-62a2-40c8-bd74-9c7ff17bec8e",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-20T08:48:32.839532Z",
"iopub.status.busy": "2024-09-20T08:48:32.838772Z",
"iopub.status.idle": "2024-09-20T08:48:33.052265Z",
"shell.execute_reply": "2024-09-20T08:48:33.051700Z",
"shell.execute_reply.started": "2024-09-20T08:48:32.839461Z"
}
},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
"title = ['编号','姓名','性别','单位','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
"\n",
"filename = 'data/result_镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
" \n",
"list1 = []\n",
"for k, v in dict1.items():\n",
" list2 = []\n",
" list2.append(str(k).rjust(5,'0'))\n",
" list2.append(v['name']) \n",
" list2.append(dict2[k]['sex'])\n",
" list2.append(dict2[k]['unit']) \n",
" for item in items:\n",
" if item in v.keys():\n",
" list2.append(v[item]['成绩']) \n",
" elif item =='name':\n",
" list2.append(v[item])\n",
" else:\n",
" list2.append('') \n",
" list1.append(list2)\n",
"filename = 'data/镇海体测情况(截至20240920).xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"sheet.append(title)\n",
"for row in list1:\n",
" sheet.append(row)\n",
" \n",
"wb.save(filename)"
]
},
{
"cell_type": "markdown",
"id": "0c2dfa71-8680-4ec6-938d-d37eeba4d4f9",
"metadata": {},
"source": [
"## 统计未体测人员明细表"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "cf22739a-5cf3-47fd-b87a-158a2e2d5a95",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-20T08:49:06.241970Z",
"iopub.status.busy": "2024-09-20T08:49:06.241223Z",
"iopub.status.idle": "2024-09-20T08:49:06.291731Z",
"shell.execute_reply": "2024-09-20T08:49:06.291195Z",
"shell.execute_reply.started": "2024-09-20T08:49:06.241901Z"
}
},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"filename = 'data/result_镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/镇海1.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"\n",
"list1 = []\n",
"\n",
"i = 1\n",
"for k, v in dict2.items(): \n",
" if k not in dict1.keys():\n",
" list2 = [i,k,v['name'],v['unit']]\n",
" i+=1\n",
" list1.append(list2)\n",
"#print(list1)\n",
"filename = f'data/镇海未测试人员名单.xlsx'\n",
"title = ['序号','员工编号','姓名','部门']\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"sheet.append(title)\n",
"for row in list1:\n",
" sheet.append(row) \n",
"wb.save(filename)"
]
},
{
"cell_type": "markdown",
"id": "286a65eb-995f-4183-a4e5-6d907ba21151",
"metadata": {},
"source": [
"## 清理重复人员"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "f4dade65-f760-4220-8a65-39843688a60a",
"metadata": {
"execution": {
"iopub.execute_input": "2024-09-20T08:48:41.723955Z",
"iopub.status.busy": "2024-09-20T08:48:41.723229Z",
"iopub.status.idle": "2024-09-20T08:48:41.926161Z",
"shell.execute_reply": "2024-09-20T08:48:41.925529Z",
"shell.execute_reply.started": "2024-09-20T08:48:41.723892Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1354\n",
"1298\n"
]
}
],
"source": [
"import json\n",
"\n",
"filename = 'data/镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"print(len(dict1))\n",
"dict2 = {}\n",
"for k, v in dict1.items():\n",
" if 'phone' in v.keys():\n",
" dict2.setdefault(k,{})\n",
" dict2[k]['name'] = v['name']\n",
" dict2[k]['phone'] = v['phone']\n",
"\n",
"list1 = []\n",
"for k, v in dict2.items():\n",
" i = 0\n",
" for k1, v1 in dict1.items():\n",
" if v['name']== v1['name'] and v['phone'] == v1['phone'] and k1 != k:\n",
" list1.append(max(int(k),int(k1)))\n",
"for item in set(list1):\n",
" del dict1[str(item)]\n",
"print(len(dict1))\n",
"filename = 'data/镇海1.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False) \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ef930e32-9413-4fb0-b9e4-ba548d89ec60",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
+5 -69
View File
@@ -212,27 +212,11 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": null,
"metadata": { "metadata": {
"execution": {
"iopub.execute_input": "2024-05-18T09:23:04.791860Z",
"iopub.status.busy": "2024-05-18T09:23:04.791023Z",
"iopub.status.idle": "2024-05-18T09:23:04.798569Z",
"shell.execute_reply": "2024-05-18T09:23:04.798170Z",
"shell.execute_reply.started": "2024-05-18T09:23:04.791818Z"
},
"tags": [] "tags": []
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"Original Text: In 2021, we had a total of 456 sales.\n",
"Modified Text: In {{img_2021}}, we had a total of {{img_456}} sales.\n"
]
}
],
"source": [ "source": [
"import re \n", "import re \n",
"def replace_numbers(text):\n", "def replace_numbers(text):\n",
@@ -257,57 +241,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 18, "execution_count": null,
"metadata": { "metadata": {},
"execution": { "outputs": [],
"iopub.execute_input": "2024-07-25T05:15:01.475822Z",
"iopub.status.busy": "2024-07-25T05:15:01.475119Z",
"iopub.status.idle": "2024-07-25T05:15:01.484925Z",
"shell.execute_reply": "2024-07-25T05:15:01.483656Z",
"shell.execute_reply.started": "2024-07-25T05:15:01.475759Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1刘宁宁;210105197906243163,;6226900714117146;中信银行上地支行,;13810477335\n",
"2李艳君;130102196606290626;6228480018747767178;中国农业银行股份有限公司北京北下关支行;13641398073\n",
"3何英;110108197202132727;4367420011031107855;中国建设银行北京北大南门支行;15101082137。\n",
"4王晓娜;11010819791230276X;6226900701079721;中信银行;18611172725\n",
"5彭翔吉;371328198801024031;6212260200195609850;中国工商银行崇文体育馆路支行;15210900779\n",
"6 章王楠;110108196201262795;4563510100879852469;中国银行北京安慧里支行;13911983185\n",
"1 薛文传;370921199601032418,;6217994630014645622;中国邮政储蓄银行宁阳县中心营业所;18728194757\n",
"2 张晓利;370921199601232428,;6223795315018773039;齐鲁银行领秀城支行;18953884309\n",
"3王荧铄;370921200311220088;6217002340044537993;中国建设银行宁阳支行;15610330246\n",
"4 符箐 ;622201198810291227;6217953400022774;浦发银行兰州市支行;19893189999\n",
"1杨建营;372431197201211319;6228480322626735417;农行杭州留下支行;13456947969\n",
"2张保(少林寺);342224197404010138;6217002430066673063;中国建设银行河南登封分行;(河南)15093080006(浙江)19884878916\n",
"3 杜洪宇;210404199503163010;6217002650002395485;中国建设银行湖北武当山支行;18671672127\n",
"4张业金;422129195010010036;6217002730004815712;中国建设银行武穴支行;13986516555\n",
"5刘敬儒;110104193607050830;6013820100008481833。;中国银行北京分行右安门支行;13611107631\n",
"6李剑方;132234195706078052;6217855000046012266;中国银行石家庄市中华大街支行;15710379999\n",
"7张长念;342222198006106013;6217230200007011051;中国工商银行海淀北太平庄支行;18911533236\n",
"8刘绥滨;510127196507040056;6227003811990408601;中国建设银行都江堰支行;13981805148\n",
"9王玉林;110108196409092721;6222030200028930042;工商银行清华大学支行;13521738338\n",
"10霍静虹;120111197709141024;6225880222824709;招商银行天津市南门外支行;13920559014\n",
"11姜周存;370102195012312939;6222081602006679608;山东济南市历下区中国工商银行经十东路支行;13964050787\n",
"12刘连俊;13092219610113001x;6228231735158089360;中国农业银行青县支行;13932726789\n",
"13任刚;510111195804064737;6222084402008897663;工商银行成都高新桐梓林南路支行;13908021945\n",
"14高宝东;142429194207131215;6214720508000053092;中国工商银行山西省晋中市太谷区支行;13834834395\n",
"15孙学孟;230102194808250416;6217001140006800145;中国建设银行;15604669719\n",
"16沙宗朝;372526197006130016;6212261611002728999;中国工商银行冠县支行;18606355008\n",
"17孙永田;110107194902050335;6217000010129556042;中国建设银行姓名:孙永田;13801392579\n",
"18陈 虎;622701198902081670;6230650004200973230;平凉农商行天门支行;19809330555\n",
"19王镖(8000元);622723197502051011;6217858500019105267;中国银行平凉分行;13993394577\n",
"20 杨 丽;110108195608191322;6222080200026479793;北京市海淀区红山口国防大学中国工商银行分行;13699112621\n",
"21张佑印;610124198111092419;6214860130311109;招商银行北京长安街支行;18801068122\n",
"22张永宏;612730198309030135;6217710726216872;中信银行北京上地支行;15960266950\n",
"23杨玉冰;110108196707206395;6217730719618595;中信银行北京市上地支行;19568701147\n"
]
}
],
"source": [ "source": [
"fn = 'file/人员名单.txt'\n", "fn = 'file/人员名单.txt'\n",
"\n", "\n",