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512song committed 2025-04-07 20:50:39 +08:00
1 parent b030391f58
commit f6dd5f0da5
7 files changed
+744 -1120
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体测单位/my_module.py
+8 -2
View File
@@ -70,8 +70,14 @@ def cal_bmi(data1):
score = 1
return score
def get_wenjuan(list1,phone,dict1,dict3):
def get_wenjuan(filename,phone,dict1,dict3):
list1 = []
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
list1.append(line)
nn = 0
for item in list1:
if item[2] in phone.keys():
体测单位/东营老年大学.ipynb
+213 -103
View File
@@ -10,15 +10,15 @@
},
{
"cell_type": "code",
"execution_count": 70,
"execution_count": 81,
"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-14T08:07:40.941181Z",
"iopub.status.busy": "2025-03-14T08:07:40.940504Z",
"iopub.status.idle": "2025-03-14T08:07:40.971889Z",
"shell.execute_reply": "2025-03-14T08:07:40.971330Z",
"shell.execute_reply.started": "2025-03-14T08:07:40.941123Z"
"iopub.execute_input": "2025-03-19T11:10:38.156756Z",
"iopub.status.busy": "2025-03-19T11:10:38.156425Z",
"iopub.status.idle": "2025-03-19T11:10:38.173971Z",
"shell.execute_reply": "2025-03-19T11:10:38.173494Z",
"shell.execute_reply.started": "2025-03-19T11:10:38.156730Z"
},
"tags": []
},
@@ -27,7 +27,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"96\n",
"37\n",
"ok\n"
]
}
@@ -37,7 +37,7 @@
"import json\n",
"from datetime import date\n",
"\n",
"wb = openpyxl.load_workbook('data/东营市老年大学第三期体质班.xlsx')\n",
"wb = openpyxl.load_workbook('data/2025级油田老年大学体质康健基础班.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
@@ -48,15 +48,15 @@
" dict1 = {}\n",
" dict1['name'] = sheet.cell(n, 2).value\n",
" dict1['sex'] = sheet.cell(n, 3).value\n",
" dict1['unit'] = '第三期体质班'\n",
" dict1['unit'] = '2025级'\n",
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
" #dict1['age'] = sheet.cell(n, 6).value\n",
" if sheet.cell(n,6).value is not None:\n",
" dict1['phone'] = str(sheet.cell(n,6).value) \n",
" if sheet.cell(n,5).value is not None:\n",
" dict1['id'] = str(sheet.cell(n,5).value)\n",
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
" if sheet.cell(n,6).value is not None:\n",
" dict1['id'] = str(sheet.cell(n,6).value)\n",
" person[code] = dict1\n",
"filename = 'data/东营市老年大学第三期体质班.json'\n",
"filename = 'data/2025级油田老年大学体质康健基础班.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
"print(len(person))\n",
@@ -65,15 +65,15 @@
},
{
"cell_type": "code",
"execution_count": 57,
"id": "5a98acbe-5f00-4ee0-99b2-7ff8d0caa3bc",
"execution_count": 88,
"id": "a14eed8b-0f7f-44f6-9d99-ce7f48e0cf50",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-04T01:28:11.977681Z",
"iopub.status.busy": "2025-03-04T01:28:11.976966Z",
"iopub.status.idle": "2025-03-04T01:28:12.007482Z",
"shell.execute_reply": "2025-03-04T01:28:12.006967Z",
"shell.execute_reply.started": "2025-03-04T01:28:11.977599Z"
"iopub.execute_input": "2025-03-19T11:40:25.979499Z",
"iopub.status.busy": "2025-03-19T11:40:25.978815Z",
"iopub.status.idle": "2025-03-19T11:40:26.001966Z",
"shell.execute_reply": "2025-03-19T11:40:26.001013Z",
"shell.execute_reply.started": "2025-03-19T11:40:25.979436Z"
}
},
"outputs": [
@@ -81,7 +81,62 @@
"name": "stdout",
"output_type": "stream",
"text": [
"125\n",
"13\n",
"ok\n"
]
}
],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"wb = openpyxl.load_workbook('data/萃苑社区党群服务中心.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"\n",
"for n in range(2, sheet.max_row+1):\n",
" if sheet.cell(n,1).value is not None:\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'] = ' '\n",
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
" #dict1['age'] = sheet.cell(n, 6).value\n",
" if sheet.cell(n,5).value is not None:\n",
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
" if sheet.cell(n,6).value is not None:\n",
" dict1['id'] = str(sheet.cell(n,6).value)\n",
" person[code] = dict1\n",
"filename = 'data/萃苑社区党群服务中心.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
"print(len(person))\n",
"print('ok')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "5a98acbe-5f00-4ee0-99b2-7ff8d0caa3bc",
"metadata": {
"execution": {
"iopub.execute_input": "2025-04-07T09:45:18.579990Z",
"iopub.status.busy": "2025-04-07T09:45:18.579417Z",
"iopub.status.idle": "2025-04-07T09:45:18.655025Z",
"shell.execute_reply": "2025-04-07T09:45:18.654445Z",
"shell.execute_reply.started": "2025-04-07T09:45:18.579942Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"492\n",
"ok\n"
]
}
@@ -130,15 +185,15 @@
},
{
"cell_type": "code",
"execution_count": 71,
"execution_count": 89,
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-14T08:07:44.886839Z",
"iopub.status.busy": "2025-03-14T08:07:44.886215Z",
"iopub.status.idle": "2025-03-14T08:07:44.904464Z",
"shell.execute_reply": "2025-03-14T08:07:44.903941Z",
"shell.execute_reply.started": "2025-03-14T08:07:44.886779Z"
"iopub.execute_input": "2025-03-19T11:41:10.193763Z",
"iopub.status.busy": "2025-03-19T11:41:10.193066Z",
"iopub.status.idle": "2025-03-19T11:41:10.208195Z",
"shell.execute_reply": "2025-03-19T11:41:10.207239Z",
"shell.execute_reply.started": "2025-03-19T11:41:10.193698Z"
},
"tags": []
},
@@ -147,7 +202,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"93\n"
"13\n"
]
}
],
@@ -160,11 +215,11 @@
"\n",
"re_ta = {}\n",
"list1 = []\n",
"filename = 'data/东营市老年大学第三期体质班.json'\n",
"filename = 'data/萃苑社区党群服务中心.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/marks_20250314.csv'\n",
"filename = 'data/marks_20250319.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
@@ -201,7 +256,7 @@
" score = result[4] \n",
" re_ta[user][item_name]['成绩'] = score\n",
"\n",
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
"filename = 'data/result_萃苑社区党群服务中心.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(re_ta, fl, ensure_ascii=False) \n",
"print(len(re_ta))"
@@ -209,15 +264,15 @@
},
{
"cell_type": "code",
"execution_count": 72,
"execution_count": 20,
"id": "e2526429-e779-4ec5-8a0e-bea623f54f29",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-14T08:07:48.554811Z",
"iopub.status.busy": "2025-03-14T08:07:48.554094Z",
"iopub.status.idle": "2025-03-14T08:07:48.579590Z",
"shell.execute_reply": "2025-03-14T08:07:48.579110Z",
"shell.execute_reply.started": "2025-03-14T08:07:48.554748Z"
"iopub.execute_input": "2025-04-07T12:39:20.625284Z",
"iopub.status.busy": "2025-04-07T12:39:20.624668Z",
"iopub.status.idle": "2025-04-07T12:39:20.645248Z",
"shell.execute_reply": "2025-04-07T12:39:20.644732Z",
"shell.execute_reply.started": "2025-04-07T12:39:20.625230Z"
}
},
"outputs": [
@@ -225,7 +280,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"115\n"
"57\n"
]
}
],
@@ -242,7 +297,7 @@
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/marks_20250304.csv'\n",
"filename = 'data/marks_20250326.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
@@ -254,6 +309,7 @@
" user = str(result[2])\n",
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
" if user in dict1.keys():\n",
" #print(user)\n",
" l_xm = []\n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
@@ -279,7 +335,7 @@
" score = result[4] \n",
" re_ta[user][item_name]['成绩'] = score\n",
"\n",
"filename = 'data/result_陈庄检测人员.json'\n",
"filename = 'data/result_陈庄检测人员-2.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(re_ta, fl, ensure_ascii=False) \n",
"print(len(re_ta))"
@@ -295,15 +351,15 @@
},
{
"cell_type": "code",
"execution_count": 73,
"execution_count": 21,
"id": "c3b99428-00d5-45ea-9803-261194525fa4",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-14T08:08:03.162240Z",
"iopub.status.busy": "2025-03-14T08:08:03.161488Z",
"iopub.status.idle": "2025-03-14T08:08:03.178033Z",
"shell.execute_reply": "2025-03-14T08:08:03.177422Z",
"shell.execute_reply.started": "2025-03-14T08:08:03.162173Z"
"iopub.execute_input": "2025-04-07T12:39:35.778154Z",
"iopub.status.busy": "2025-04-07T12:39:35.777362Z",
"iopub.status.idle": "2025-04-07T12:39:35.793555Z",
"shell.execute_reply": "2025-04-07T12:39:35.792548Z",
"shell.execute_reply.started": "2025-04-07T12:39:35.778096Z"
}
},
"outputs": [
@@ -322,7 +378,7 @@
"\n",
"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
"filename = 'data/result_陈庄检测人员-2.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl) \n",
"for k, v in dict2.items():\n",
@@ -345,7 +401,7 @@
" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
"\n",
"filename = f'data/result_东营市老年大学第三期体质班.json'\n",
"filename = f'data/result_陈庄检测人员-2.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict2,fl , ensure_ascii=False) \n",
"print('ok!') "
@@ -433,15 +489,15 @@
},
{
"cell_type": "code",
"execution_count": 78,
"execution_count": 91,
"id": "891347c4-cd65-41f8-b5dd-b3ff3d1e249f",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-14T08:17:25.959454Z",
"iopub.status.busy": "2025-03-14T08:17:25.958763Z",
"iopub.status.idle": "2025-03-14T08:17:25.994196Z",
"shell.execute_reply": "2025-03-14T08:17:25.993587Z",
"shell.execute_reply.started": "2025-03-14T08:17:25.959390Z"
"iopub.execute_input": "2025-03-19T11:41:43.991964Z",
"iopub.status.busy": "2025-03-19T11:41:43.991276Z",
"iopub.status.idle": "2025-03-19T11:41:44.009884Z",
"shell.execute_reply": "2025-03-19T11:41:44.008939Z",
"shell.execute_reply.started": "2025-03-19T11:41:43.991901Z"
}
},
"outputs": [
@@ -449,7 +505,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"87\n"
"7\n"
]
}
],
@@ -462,10 +518,10 @@
"\n",
"dict1 = {}\n",
"\n",
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
"filename = 'data/result_萃苑社区党群服务中心.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"filename = 'data/东营市老年大学第三期体质班.json'\n",
"filename = 'data/萃苑社区党群服务中心.json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"\n",
@@ -475,7 +531,7 @@
" phone[v['phone']] = k\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20250314.csv'\n",
"filename = 'data/Survey_20250319.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
@@ -531,7 +587,7 @@
" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
" #print(phone[item[2]])\n",
" nn+=1\n",
"filename = 'data/result_东营市老年大学第三期体质班-1.json'\n",
"filename = 'data/result_萃苑社区党群服务中心-1.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False)\n",
@@ -828,15 +884,15 @@
},
{
"cell_type": "code",
"execution_count": 79,
"execution_count": 92,
"id": "327c33e2-7437-4421-b70c-ec98234a5e88",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-14T08:19:54.589069Z",
"iopub.status.busy": "2025-03-14T08:19:54.588348Z",
"iopub.status.idle": "2025-03-14T08:20:46.467552Z",
"shell.execute_reply": "2025-03-14T08:20:46.466556Z",
"shell.execute_reply.started": "2025-03-14T08:19:54.589004Z"
"iopub.execute_input": "2025-03-19T11:42:35.430535Z",
"iopub.status.busy": "2025-03-19T11:42:35.429862Z",
"iopub.status.idle": "2025-03-19T11:42:43.062551Z",
"shell.execute_reply": "2025-03-19T11:42:43.062030Z",
"shell.execute_reply.started": "2025-03-19T11:42:35.430472Z"
}
},
"outputs": [
@@ -844,7 +900,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"95\n"
"13\n"
]
}
],
@@ -857,11 +913,11 @@
"headers = {\n",
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
" }\n",
"filename = 'data/result_东营市老年大学第三期体质班-1.json'\n",
"filename = 'data/result_萃苑社区党群服务中心-1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./东营市老年大学第三期体质班/'\n",
"file_path ='./萃苑社区党群服务中心/'\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
"i=0\n",
"list2 = []\n",
@@ -871,7 +927,7 @@
" \n",
" id = str(k).rjust(4,\"0\")\n",
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
" mydata['title'] = '东营市老年大学'\n",
" mydata['title'] = '萃苑社区党群服务中心'\n",
" mydata['subtitle'] = v['unit']\n",
" mydata['id'] = id\n",
" mydata['name'] = v['name']\n",
@@ -913,27 +969,18 @@
},
{
"cell_type": "code",
"execution_count": 48,
"execution_count": 18,
"id": "44a209a2-ca22-4a80-bbd9-37717347dfd5",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T06:41:43.203179Z",
"iopub.status.busy": "2025-03-03T06:41:43.202419Z",
"iopub.status.idle": "2025-03-03T06:41:43.225384Z",
"shell.execute_reply": "2025-03-03T06:41:43.224812Z",
"shell.execute_reply.started": "2025-03-03T06:41:43.203107Z"
"iopub.execute_input": "2025-04-07T12:35:07.556776Z",
"iopub.status.busy": "2025-04-07T12:35:07.556176Z",
"iopub.status.idle": "2025-04-07T12:35:08.133474Z",
"shell.execute_reply": "2025-04-07T12:35:08.132966Z",
"shell.execute_reply.started": "2025-04-07T12:35:07.556719Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"91\n",
"ok\n"
]
}
],
"outputs": [],
"source": [
"import requests\n",
"import json\n",
@@ -943,11 +990,11 @@
"headers = {\n",
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
" }\n",
"filename = 'data/result_陈庄检测人员-1.json'\n",
"filename = 'data/result_陈庄检测人员-3.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./东营陈庄/'\n",
"file_path ='./东营陈庄3/'\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
"i=0\n",
"list2 = []\n",
@@ -967,15 +1014,7 @@
" mydata['gender'] = 'female'\n",
" \n",
" mydata['month'] = v['month']\n",
" mydata['fits'] = {}\n",
" survey_list = ['tcm','psy_yangmiao_old','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",
@@ -985,20 +1024,91 @@
" mark = v[item]['成绩'].split()[0]\n",
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
" #if len(mydata['fits']) >2 : \n",
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
" if len(mydata['fits']) >2 : \n",
" #if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
" list2.append(mydata)\n",
" \n",
" i+=1\n",
" #x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\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"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "7ee80847-2bc0-4cbe-9534-c5dcf97c2833",
"metadata": {
"execution": {
"iopub.execute_input": "2025-04-07T12:40:25.086716Z",
"iopub.status.busy": "2025-04-07T12:40:25.086178Z",
"iopub.status.idle": "2025-04-07T12:40:51.228212Z",
"shell.execute_reply": "2025-04-07T12:40:51.227012Z",
"shell.execute_reply.started": "2025-04-07T12:40:25.086666Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"56\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_陈庄检测人员-2.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./东营陈庄2/'\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'] = '山东东营陈庄镇'\n",
" mydata['subtitle'] = v['unit']\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",
" \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 or len(mydata['surveys']) >0:\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",
"filename = 'data/data_陈庄检测人员.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(list2, fl, ensure_ascii=False)\n",
"print(len(list2))\n",
"print('ok')"
"print(i)"
]
},
{
体测单位/体测数据管理.ipynb
+107 -292
View File
@@ -10,15 +10,15 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 23,
"id": "360f0a97-d73d-43f3-9f7a-0f9582103c82",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-04T01:13:15.511726Z",
"iopub.status.busy": "2025-03-04T01:13:15.510982Z",
"iopub.status.idle": "2025-03-04T01:13:15.594359Z",
"shell.execute_reply": "2025-03-04T01:13:15.593901Z",
"shell.execute_reply.started": "2025-03-04T01:13:15.511654Z"
"iopub.execute_input": "2025-03-20T09:18:01.505731Z",
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"shell.execute_reply": "2025-03-20T09:18:01.518406Z",
"shell.execute_reply.started": "2025-03-20T09:18:01.505657Z"
},
"tags": []
},
@@ -30,10 +30,10 @@
"mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"place\"]\n",
"\n",
"place_id = 250226\n",
"place_code = \"16\"\n",
"dw_name = \"山东东营陈庄镇\"\n",
"dw_jc = \"山东东营陈庄镇\"\n",
"place_id = 25032001\n",
"place_code = \"20\"\n",
"dw_name = \"2025级油田老年大学体质康健基础班\"\n",
"dw_jc = \"油田老年大学体质康健基础班\"\n",
"myquery = { \"id\": place_id }\n",
"num = mycol.count_documents(myquery)\n",
"if num>0:\n",
@@ -53,15 +53,15 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 24,
"id": "6ce2cbc7-435a-461c-bdb8-abd9a6962fbc",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-04T01:47:46.378353Z",
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"shell.execute_reply": "2025-03-04T01:47:46.555855Z",
"shell.execute_reply.started": "2025-03-04T01:47:46.378281Z"
"iopub.execute_input": "2025-03-20T09:19:55.399000Z",
"iopub.status.busy": "2025-03-20T09:19:55.398328Z",
"iopub.status.idle": "2025-03-20T09:19:55.423109Z",
"shell.execute_reply": "2025-03-20T09:19:55.422235Z",
"shell.execute_reply.started": "2025-03-20T09:19:55.398942Z"
}
},
"outputs": [
@@ -69,7 +69,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"116 ok\n"
"31 ok\n"
]
}
],
@@ -86,10 +86,10 @@
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
"mydb = myclient[\"baogao\"]\n",
"\n",
"place_id = 250226\n",
"place_code = \"16\"\n",
"dw_name = \"山东东营陈庄镇\"\n",
"dw_jc = \"山东东营陈庄镇\"\n",
"place_id = 25032001\n",
"place_code = \"20\"\n",
"dw_name = \"2025级油田老年大学体质康健基础班\"\n",
"dw_jc = \"油田老年大学体质康健基础班\"\n",
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
"\n",
@@ -137,15 +137,15 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 25,
"id": "5f665c0f-8d30-4759-b7f8-fb7e13b98efa",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-04T01:54:43.144665Z",
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"iopub.status.idle": "2025-03-04T01:54:43.267863Z",
"shell.execute_reply": "2025-03-04T01:54:43.267357Z",
"shell.execute_reply.started": "2025-03-04T01:54:43.144573Z"
"iopub.execute_input": "2025-03-20T09:20:14.292047Z",
"iopub.status.busy": "2025-03-20T09:20:14.291517Z",
"iopub.status.idle": "2025-03-20T09:20:14.320715Z",
"shell.execute_reply": "2025-03-20T09:20:14.319854Z",
"shell.execute_reply.started": "2025-03-20T09:20:14.291999Z"
},
"tags": []
},
@@ -154,122 +154,37 @@
"name": "stdout",
"output_type": "stream",
"text": [
"1 17354672396 0108-徐中华.pdf 160486\n",
"2 13563358955 0103-薄友梅.pdf 163176\n",
"3 13561096259 0095-王天成.pdf 162197\n",
"4 13371558516 0047-刘芳.pdf 160524\n",
"5 14768999777 0112-杨国良.pdf 168926\n",
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"19 17754629112 0054-孟玲.pdf 162869\n",
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"21 15318391717 0080-李小青.pdf 166590\n",
"22 17754629138 0067-牟艳红.pdf 166379\n",
"23 17754629077 0062-胡振云.pdf 162831\n",
"24 17754651259 0124-王学晴.pdf 169650\n",
"25 15254633988 0009-张伟花.pdf 164287\n",
"26 18562007818 0083-蔻艳.pdf 167918\n",
"27 18654691866 0001-陈彤彤.pdf 166271\n",
"28 18954628871 0100-张玉荣.pdf 167910\n",
"29 19854689029 0082-陈希珍.pdf 164523\n",
"30 15154681871 0010-王兰玉.pdf 167460\n",
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"32 15154622086 0077-孙义芬.pdf 164789\n",
"33 13455721686 0036-陈光梅.pdf 162051\n",
"34 13475465246 0064-李铭悦.pdf 164913\n",
"35 13181857658 0116-韩书贞.pdf 165482\n",
"36 13562298356 0084-胡冰叶.pdf 165170\n",
"37 18562961552 0101-王乃玲.pdf 161429\n",
"38 13371528169 0042-刘志芳.pdf 167682\n",
"39 17754629165 0048-徐雪花.pdf 165471\n",
"40 13256477708 0117-崔树红.pdf 161758\n",
"41 13356619896 0114-陈延红.pdf 167963\n",
"42 13287371168 0038-王守美.pdf 166920\n",
"43 15715468750 0006-韩小荣.pdf 168734\n",
"44 15154619169 0079-刘桂.pdf 164271\n",
"45 17754629082 0070-王芳.pdf 168370\n",
"46 15306476627 0055-张韶岩.pdf 166984\n",
"47 13705467605 0126-巴月华.pdf 160364\n",
"48 17754629057 0065-商孟加.pdf 161934\n",
"49 19963763561 0123-陈建正.pdf 160236\n",
"50 13325059838 0025-崔志猛.pdf 162853\n",
"51 15318328975 0040-王元.pdf 163259\n",
"52 13205471255 0029-张秀奎.pdf 165897\n",
"53 13361503856 0102-宋珊珊.pdf 167024\n",
"54 18954680512 0059-孟祥菊.pdf 162648\n",
"55 13465275185 0060-张春先.pdf 169518\n",
"56 13361522787 0069-王明杰.pdf 165038\n",
"57 13054610918 0057-郭立凯.pdf 168106\n",
"58 18506466571 0091-赵培芬.pdf 166937\n",
"59 13181854171 0107-董强.pdf 168902\n",
"60 13210388535 0071-刘俊志.pdf 161024\n",
"61 13306475903 0072-王芹.pdf 163160\n",
"62 15965465758 0043-郭振芹.pdf 165241\n",
"63 13355460615 0035-李跃粉.pdf 165670\n",
"64 18266665051 0052-王一涵.pdf 162679\n",
"65 13054600511 0125-季书奎.pdf 164526\n",
"66 15314325556 0045-张绪民.pdf 163645\n",
"67 13963355696 0118-王兴业.pdf 163275\n",
"68 13081417578 0028-李召兰.pdf 168653\n",
"69 15965466030 0086-陈春华.pdf 165723\n",
"70 15254639986 0014-陈召云.pdf 164920\n",
"71 13792069959 0016-崔士叶.pdf 163204\n",
"72 13905465022 0075-孙丽.pdf 165792\n",
"73 17754629228 0088-陈奎霞.pdf 164810\n",
"74 15154623768 0017-崔业常.pdf 166814\n",
"75 15965466216 0032-李培荣.pdf 164150\n",
"76 13864785309 0115-杨建军.pdf 162097\n",
"77 15990986892 0104-林燕燕.pdf 169407\n",
"78 18764586870 0056-曹志捷.pdf 168719\n",
"79 15315038808 0119-韩永强.pdf 165184\n",
"80 18562961530 0106-张玉军.pdf 169036\n",
"81 13054673678 0039-王新娥.pdf 167120\n",
"82 13706470006 0024-毕玉江.pdf 165769\n",
"83 13954696798 0008-陈振玉.pdf 163164\n",
"84 18766719018 0092-程艳娟.pdf 162109\n",
"85 17754629160 0090-徐妮.pdf 162709\n",
"86 15954759855 0019-陈新英.pdf 162859\n",
"87 13375461776 0022-盖新茂.pdf 164270\n",
"88 15954671399 0121-韩秀娥.pdf 168275\n",
"89 18954680397 0046-尚玉兰.pdf 161083\n",
"90 13561016489 0020-王乐花.pdf 164631\n",
"91 18860673506 0012-崔桂灵.pdf 163906\n",
"92 15665876948 0051-薄尊敏.pdf 165219\n",
"93 17754629197 0096-吴松.pdf 167890\n",
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"104 15318382108 0087-刘肖丽.pdf 160973\n",
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"109 15552779321 0105-刘胜彩.pdf 163867\n",
"110 13563395385 0027-王振泉.pdf 164018\n",
"111 19854689027 0078-张卫卫.pdf 164520\n",
"112 17754629226 0049-蔡立庆.pdf 169251\n",
"113 13406089611 0076-王宪芳.pdf 168925\n",
"114 17754665865 0073-韩霞.pdf 161576\n",
"115 13963351053 0099-韩英.pdf 160826\n",
"116 17754629175 0034-段德引.pdf 162306\n"
"1 18654628632 0028-张红丽.pdf 206138\n",
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"4 13905462350 0034-张晓云.pdf 203015\n",
"5 13562280825 0016-李爱云.pdf 200689\n",
"6 15318339058 0007-韩金秀.pdf 203970\n",
"7 13589956960 0026-严新杰.pdf 200467\n",
"8 13906478916 0003-曹春梅.pdf 205019\n",
"9 13706476046 0023-王维卿.pdf 208975\n",
"10 13561090015 0022-王金文.pdf 204916\n",
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"12 13954622371 0019-王国臣.pdf 204637\n",
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"15 13954626181 0013-李佐东.pdf 202568\n",
"16 13287350839 0020-王秀娟.pdf 200195\n",
"17 13954654611 0035-单丽荣.pdf 205740\n",
"18 13792079628 0031-马羚.pdf 201534\n",
"19 13563378335 0027-赵芳霞.pdf 205462\n",
"20 15105461296 0001-丛霞.pdf 203872\n",
"21 18653699898 0025-杨江萍.pdf 204830\n",
"22 13082601667 0021-王静.pdf 207801\n",
"23 13954606669 0033-朱莲女.pdf 207605\n",
"24 13864757610 0036-赵萍.pdf 208520\n",
"25 13287336162 0012-鲁兴湘.pdf 200654\n",
"26 13325052019 0010-刘敏.pdf 200635\n",
"27 13589965775 0011-李梅.pdf 206794\n",
"28 13864739068 0018-孙杰.pdf 203096\n",
"29 15105461298 0002-陈秀华.pdf 205248\n",
"30 15550503986 0005-丁元花.pdf 201624\n",
"31 15005463621 0037-高学晖.pdf 206374\n"
]
}
],
@@ -287,12 +202,12 @@
"mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"pdf\"]\n",
"\n",
"dw_jc = \"山东东营陈庄镇测试者\"\n",
"filename = 'data/陈庄检测人员.json'\n",
"dw_jc = \"2025级油田老年大学体质康健基础班\"\n",
"filename = 'data/2025级油田老年大学体质康健基础班.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"dict2 = {}\n",
"#place_id = 571315\n",
"place_id = 25032001\n",
"myquery = { \"place_id\": place_id}\n",
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
" code = int(x['fn'].split('-')[0])\n",
@@ -348,15 +263,15 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 26,
"id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-04T01:57:31.101633Z",
"iopub.status.busy": "2025-03-04T01:57:31.100873Z",
"iopub.status.idle": "2025-03-04T02:07:35.250788Z",
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},
"tags": []
},
@@ -365,122 +280,37 @@
"name": "stdout",
"output_type": "stream",
"text": [
"17354672396 160486 send success\n",
"13563358955 163176 send success\n",
"13561096259 162197 send success\n",
"13371558516 160524 send success\n",
"14768999777 168926 send success\n",
"17754600886 167621 send success\n",
"18562083357 162163 send success\n",
"15550539133 166914 send success\n",
"18254652100 160615 send success\n",
"13625462769 167935 send success\n",
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"17754684486 165102 send success\n",
"15318307578 163802 send success\n",
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"13465269869 163169 send success\n",
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"19854689029 164523 send success\n",
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"13181857658 165482 send success\n",
"13562298356 165170 send success\n",
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]
}
],
@@ -498,12 +328,12 @@
"mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"pdf\"]\n",
"\n",
"dw_jc = \"山东东营陈庄镇测试者\"\n",
"filename = 'data/陈庄检测人员.json'\n",
"dw_jc = \"油田老年大学测试者\"\n",
"filename = 'data/2025级油田老年大学体质康健基础班.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"dict2 = {}\n",
"place_id = 250226\n",
"place_id = 25032001\n",
"myquery = { \"place_id\": place_id }\n",
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
" code = int(x['fn'].split('-')[0])\n",
@@ -568,27 +398,12 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "25a269c3-758f-4e79-ae6d-a6e6f161d64b",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-23T05:38:55.858379Z",
"iopub.status.busy": "2024-12-23T05:38:55.857680Z",
"iopub.status.idle": "2024-12-23T05:38:56.119988Z",
"shell.execute_reply": "2024-12-23T05:38:56.118643Z",
"shell.execute_reply.started": "2024-12-23T05:38:55.858311Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"+8613793180751 send success\n"
]
}
],
"outputs": [],
"source": [
"from tencentcloud.common import credential\n",
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
@@ -602,12 +417,12 @@
"mydb = myclient[\"baogao\"]\n",
"mycol = mydb[\"pdf\"]\n",
"\n",
"dw_jc = \"北体体质康健班学员\"\n",
"filename = 'data/北体体质康健班202412.json'\n",
"dw_jc = \"海淀区老干部大学\"\n",
"filename = 'data/海淀区老干部大学第一期.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"dict2 = {}\n",
"place_id = 141002\n",
"place_id = 250319\n",
"myquery = { \"place_id\": place_id }\n",
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
" code = int(x['fn'].split('-')[0])\n",
@@ -617,7 +432,7 @@
" print('no phone')\n",
"\n",
"phone = '+86'+'13793180751'\n",
"yzm = '155673'\n",
"yzm = '185679'\n",
"try: \n",
" secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
" secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",
体测单位/体质检测数据处理.ipynb
+45 -626
View File
@@ -497,27 +497,12 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"id": "141b30dc-5975-4dcb-9bc3-9b20d26a0917",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-11T07:12:20.657211Z",
"iopub.status.busy": "2024-12-11T07:12:20.656910Z",
"iopub.status.idle": "2024-12-11T07:12:20.675619Z",
"shell.execute_reply": "2024-12-11T07:12:20.675056Z",
"shell.execute_reply.started": "2024-12-11T07:12:20.657186Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok!\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"import time\n",
@@ -652,27 +637,12 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "b123ee6b-85d2-4660-b226-321832a6b796",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-11T07:12:25.035537Z",
"iopub.status.busy": "2024-12-11T07:12:25.034817Z",
"iopub.status.idle": "2024-12-11T07:13:06.145312Z",
"shell.execute_reply": "2024-12-11T07:13:06.144192Z",
"shell.execute_reply.started": "2024-12-11T07:12:25.035471Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"78\n"
]
}
],
"outputs": [],
"source": [
"import requests\n",
"import json\n",
@@ -815,341 +785,24 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": null,
"id": "d913a531-51b3-4795-adc3-f4fc858d7401",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-12T07:37:15.387929Z",
"iopub.status.busy": "2024-12-12T07:37:15.387152Z",
"iopub.status.idle": "2024-12-12T07:37:15.525479Z",
"shell.execute_reply": "2024-12-12T07:37:15.524900Z",
"shell.execute_reply.started": "2024-12-12T07:37:15.387860Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"302\n",
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"/home/songyi/pdf-typescript/长炼医院2024/3437578-黄晓平.pdf\n"
]
}
],
"outputs": [],
"source": [
"import os,sys,shutil\n",
"import json\n",
"import glob\n",
"from pathlib import Path\n",
"\n",
"fi_path = '/home/songyi/pdf-typescript/长炼医院2024'\n",
"new_path = 'file/长炼医院2024'\n",
"fi_path = '/home/songyi/pdf-typescript-old2/青海2025'\n",
"new_path = 'file/青海2025'\n",
"old = []\n",
"dict2 = {}\n",
"\n",
"filename = 'data/result_长炼医院人员2024(汇总）.json'\n",
"filename = 'data/result_青海2025-1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
@@ -1175,15 +828,15 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 2,
"id": "02319955-7fb6-4791-ae45-55b03bdadd54",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-12T07:41:07.877091Z",
"iopub.status.busy": "2024-12-12T07:41:07.876276Z",
"iopub.status.idle": "2024-12-12T07:41:07.919596Z",
"shell.execute_reply": "2024-12-12T07:41:07.919038Z",
"shell.execute_reply.started": "2024-12-12T07:41:07.877012Z"
"iopub.execute_input": "2025-03-26T08:57:29.670864Z",
"iopub.status.busy": "2025-03-26T08:57:29.670184Z",
"iopub.status.idle": "2025-03-26T08:57:29.848770Z",
"shell.execute_reply": "2025-03-26T08:57:29.848268Z",
"shell.execute_reply.started": "2025-03-26T08:57:29.670807Z"
},
"tags": []
},
@@ -1203,9 +856,9 @@
"from pathlib import Path\n",
"import openpyxl\n",
"\n",
"fi_path = '/home/songyi/pdf-typescript/长炼医院2024'\n",
"fi_path = '/home/songyi/pdf-typescript-old2/青海2025'\n",
"\n",
"filename = 'data/result_长炼医院人员2024(汇总）.json'\n",
"filename = 'data/result_青海2025-1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
@@ -1221,7 +874,7 @@
" \n",
" list1.append(list2)\n",
"\n",
"filename = 'data/长炼医院2024年体测报告明细表.xlsx'\n",
"filename = 'data/青海油田勘探事业部2025年体测报告明细表.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"sheet.append(title)\n",
@@ -1876,26 +1529,10 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "46aa847d-e1fe-45bd-85b6-e2d792ec8842",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:27:58.141604Z",
"iopub.status.busy": "2024-12-20T07:27:58.140897Z",
"iopub.status.idle": "2024-12-20T07:27:58.343114Z",
"shell.execute_reply": "2024-12-20T07:27:58.342694Z",
"shell.execute_reply.started": "2024-12-20T07:27:58.141536Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"301\n"
]
}
],
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
@@ -1970,29 +1607,12 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "63edd636-f034-4aa6-8575-63d5cdb84adb",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:28:13.394921Z",
"iopub.status.busy": "2024-12-20T07:28:13.394348Z",
"iopub.status.idle": "2024-12-20T07:28:13.405910Z",
"shell.execute_reply": "2024-12-20T07:28:13.405307Z",
"shell.execute_reply.started": "2024-12-20T07:28:13.394870Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"平均成绩：2.7497分，男性：223人\n",
"平均成绩：2.9819分，女性：78人\n",
"平均成绩：2.8099分，总体：301人\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"\n",
@@ -2031,32 +1651,12 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"id": "1b4a3f02-9b2e-41fc-ac6c-8163907a07f1",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:30:11.095892Z",
"iopub.status.busy": "2024-12-20T07:30:11.095122Z",
"iopub.status.idle": "2024-12-20T07:30:11.117663Z",
"shell.execute_reply": "2024-12-20T07:30:11.117077Z",
"shell.execute_reply.started": "2024-12-20T07:30:11.095822Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0~255分人数：91人,男性：79人,女性:12人\n",
"256~332分人数：143人,男性：100人,女性:43人\n",
"333~367分人数：47人,男性：30人,女性:17人\n",
"368~500分人数：20人,男性：14人,女性:6人\n",
"301\n",
"ok\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"\n",
@@ -2102,34 +1702,12 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"id": "2d661ca6-6129-4da1-ac25-51d0156babb2",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:30:36.266609Z",
"iopub.status.busy": "2024-12-20T07:30:36.266057Z",
"iopub.status.idle": "2024-12-20T07:30:36.276604Z",
"shell.execute_reply": "2024-12-20T07:30:36.275720Z",
"shell.execute_reply.started": "2024-12-20T07:30:36.266557Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20-24 {'不合格': 7, '良好': 4, '优秀': 2, '合格': 17}\n",
"25-29 {'合格': 16, '不合格': 3, '良好': 6, '优秀': 1}\n",
"30-34 {'合格': 1, '优秀': 1, '不合格': 1, '良好': 2}\n",
"35-39 {'不合格': 0, '合格': 2, '良好': 1, '优秀': 1}\n",
"40-44 {'合格': 1, '不合格': 1, '良好': 2, '优秀': 0}\n",
"45-49 {'良好': 2, '合格': 5, '不合格': 0, '优秀': 1}\n",
"50-54 {'良好': 0, '合格': 1, '优秀': 0, '不合格': 0}\n",
"55-80 {'良好': 0, '合格': 0, '不合格': 0}\n"
]
}
],
"outputs": [],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"\n",
@@ -2169,34 +1747,12 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "fc97df37-34ff-4a02-9d26-b5d81b706e46",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:30:38.696485Z",
"iopub.status.busy": "2024-12-20T07:30:38.695765Z",
"iopub.status.idle": "2024-12-20T07:30:38.711240Z",
"shell.execute_reply": "2024-12-20T07:30:38.710163Z",
"shell.execute_reply.started": "2024-12-20T07:30:38.696422Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20-24 {'不合格': 28, '良好': 7, '优秀': 1, '合格': 26}\n",
"25-29 {'合格': 18, '不合格': 17, '良好': 1, '优秀': 0}\n",
"30-34 {'合格': 10, '优秀': 2, '不合格': 11, '良好': 4}\n",
"35-39 {'不合格': 8, '合格': 13, '良好': 7, '优秀': 5}\n",
"40-44 {'合格': 10, '不合格': 3, '良好': 3, '优秀': 1}\n",
"45-49 {'良好': 4, '合格': 12, '不合格': 8, '优秀': 1}\n",
"50-54 {'良好': 2, '合格': 8, '优秀': 4, '不合格': 2}\n",
"55-80 {'良好': 2, '合格': 3, '不合格': 2}\n"
]
}
],
"outputs": [],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"\n",
@@ -2236,34 +1792,12 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": null,
"id": "dafb86f8-5ee0-4c87-a98f-c7ff0f631fe5",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:31:09.731948Z",
"iopub.status.busy": "2024-12-20T07:31:09.731194Z",
"iopub.status.idle": "2024-12-20T07:31:09.742741Z",
"shell.execute_reply": "2024-12-20T07:31:09.741604Z",
"shell.execute_reply.started": "2024-12-20T07:31:09.731880Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"16~24岁平均成绩：2.69分，人数：92人,男性：62人\n",
"25~29岁平均成绩：2.72分，人数：62人,男性：36人\n",
"30~34岁平均成绩：2.75分，人数：32人,男性：27人\n",
"35~39岁平均成绩：3.04分，人数：37人,男性：33人\n",
"40~44岁平均成绩：2.94分，人数：21人,男性：17人\n",
"45~49岁平均成绩：2.89分，人数：33人,男性：25人\n",
"50~54岁平均成绩：3.1分，人数：17人,男性：16人\n",
"55~69岁平均成绩：2.85分，人数：7人,男性：7人\n"
]
}
],
"outputs": [],
"source": [
"nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
"\n",
@@ -2298,34 +1832,12 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"id": "347703a1-501b-4800-bd29-16e94f4a6793",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:35:34.912029Z",
"iopub.status.busy": "2024-12-20T07:35:34.911266Z",
"iopub.status.idle": "2024-12-20T07:35:34.922511Z",
"shell.execute_reply": "2024-12-20T07:35:34.921440Z",
"shell.execute_reply.started": "2024-12-20T07:35:34.911960Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：2.59分，人数：62人\n",
"25~29岁平均成绩：2.52分，人数：36人\n",
"30~34岁平均成绩：2.65分，人数：27人\n",
"35~39岁平均成绩：3.02分，人数：33人\n",
"40~44岁平均成绩：2.95分，人数：17人\n",
"45~49岁平均成绩：2.81分，人数：25人\n",
"50~54岁平均成绩：3.13分，人数：16人\n",
"55~80岁平均成绩：2.85分，人数：7人\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"\n",
@@ -2360,34 +1872,12 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": null,
"id": "5900d1c7-2f8c-4dfa-a60e-a577fb90f22d",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-12T09:04:56.288764Z",
"iopub.status.busy": "2024-12-12T09:04:56.288050Z",
"iopub.status.idle": "2024-12-12T09:04:56.304610Z",
"shell.execute_reply": "2024-12-12T09:04:56.303440Z",
"shell.execute_reply.started": "2024-12-12T09:04:56.288700Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：2.88分，人数：30人\n",
"25~29岁平均成绩：2.98分，人数：26人\n",
"30~34岁平均成绩：3.28分，人数：5人\n",
"35~39岁平均成绩：3.24分，人数：4人\n",
"40~44岁平均成绩：2.88分，人数：4人\n",
"45~49岁平均成绩：3.14分，人数：8人\n",
"50~54岁平均成绩：2.67分，人数：1人\n",
"55~80岁平均成绩：0分，人数：0人\n"
]
}
],
"outputs": [],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"\n",
@@ -2420,36 +1910,12 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "ad69c45d-3f62-42df-894d-47424e759029",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-20T07:34:04.864554Z",
"iopub.status.busy": "2024-12-20T07:34:04.863864Z",
"iopub.status.idle": "2024-12-20T07:34:04.875213Z",
"shell.execute_reply": "2024-12-20T07:34:04.874207Z",
"shell.execute_reply.started": "2024-12-20T07:34:04.864491Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"BMI 3.65 279\n",
"肺活量 3.37 268\n",
"握力 1.77 284\n",
"坐位体前屈 2.78 249\n",
"纵跳 2.82 245\n",
"俯卧撑 2.31 145\n",
"一分钟仰卧起坐 2.98 56\n",
"单脚站立 2.59 205\n",
"选择反应时 2.83 270\n",
"台阶指数 2.88 213\n"
]
}
],
"outputs": [],
"source": [
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
@@ -2825,27 +2291,12 @@
},
{
"cell_type": "code",
"execution_count": 50,
"execution_count": null,
"id": "ad3078ac-ae53-4bb4-95bd-387631092bf1",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-06T14:12:43.778020Z",
"iopub.status.busy": "2024-12-06T14:12:43.777211Z",
"iopub.status.idle": "2024-12-06T14:12:43.913724Z",
"shell.execute_reply": "2024-12-06T14:12:43.913244Z",
"shell.execute_reply.started": "2024-12-06T14:12:43.777944Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"outputs": [],
"source": [
"list2 = ['成就感','愉快心境','放松程度','压力应对','体力充沛','情感充沛度']\n",
"list3 = [[5,7],[7,4],[7,4],[7,4],[8,1],[6,1]]\n",
@@ -2902,26 +2353,10 @@
},
{
"cell_type": "code",
"execution_count": 63,
"execution_count": null,
"id": "122f19fb-3531-4074-94e4-e2afdb8af51a",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-08T04:21:58.990344Z",
"iopub.status.busy": "2024-12-08T04:21:58.989588Z",
"iopub.status.idle": "2024-12-08T04:21:59.054676Z",
"shell.execute_reply": "2024-12-08T04:21:59.054144Z",
"shell.execute_reply.started": "2024-12-08T04:21:58.990273Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"metadata": {},
"outputs": [],
"source": [
"list4 = ['颈椎','胸椎','腰椎','骶尾椎']\n",
"list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]\n",
@@ -2962,26 +2397,10 @@
},
{
"cell_type": "code",
"execution_count": 64,
"execution_count": null,
"id": "1a5a10cb-f6bc-4e3a-83cc-78b9c0cbe994",
"metadata": {
"execution": {
"iopub.execute_input": "2024-12-08T04:24:23.871310Z",
"iopub.status.busy": "2024-12-08T04:24:23.870782Z",
"iopub.status.idle": "2024-12-08T04:24:24.037452Z",
"shell.execute_reply": "2024-12-08T04:24:24.036877Z",
"shell.execute_reply.started": "2024-12-08T04:24:23.871259Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"metadata": {},
"outputs": [],
"source": [
"list4 = ['颈椎','胸椎','腰椎','骶尾椎']\n",
"list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]\n",
体测单位/延庆.ipynb
+53 -62
View File
@@ -10,15 +10,15 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 29,
"id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-15T11:30:29.780788Z",
"iopub.status.busy": "2025-03-15T11:30:29.780027Z",
"iopub.status.idle": "2025-03-15T11:30:29.813663Z",
"shell.execute_reply": "2025-03-15T11:30:29.813167Z",
"shell.execute_reply.started": "2025-03-15T11:30:29.780712Z"
"iopub.execute_input": "2025-03-23T12:04:07.998224Z",
"iopub.status.busy": "2025-03-23T12:04:07.997422Z",
"iopub.status.idle": "2025-03-23T12:04:08.037664Z",
"shell.execute_reply": "2025-03-23T12:04:08.037059Z",
"shell.execute_reply.started": "2025-03-23T12:04:07.998155Z"
}
},
"outputs": [
@@ -38,17 +38,21 @@
"wb = openpyxl.load_workbook('data/延庆测试名单.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"filename = 'data/延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" person = json.load(fl) \n",
"\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, 4).value\n",
" dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0] \n",
" dict1['phone'] = str(sheet.cell(n, 5).value)\n",
" person[code] = dict1\n",
" if code not in person.keys():\n",
" person.setdefault(code, {})\n",
" dict1 = {}\n",
" dict1['name'] = sheet.cell(n, 2).value\n",
" dict1['sex'] = sheet.cell(n, 4).value\n",
" dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0] \n",
" dict1['phone'] = str(sheet.cell(n, 5).value)\n",
" person[code] = dict1\n",
"filename = 'data/延庆人员.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
@@ -65,15 +69,15 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 30,
"id": "36aa14f9-cdfd-4ad4-a84e-9809c9db9958",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-15T11:53:27.327555Z",
"iopub.status.busy": "2025-03-15T11:53:27.327111Z",
"iopub.status.idle": "2025-03-15T11:53:27.348436Z",
"shell.execute_reply": "2025-03-15T11:53:27.347781Z",
"shell.execute_reply.started": "2025-03-15T11:53:27.327503Z"
"iopub.execute_input": "2025-03-23T12:05:05.752592Z",
"iopub.status.busy": "2025-03-23T12:05:05.751930Z",
"iopub.status.idle": "2025-03-23T12:05:05.764094Z",
"shell.execute_reply": "2025-03-23T12:05:05.763087Z",
"shell.execute_reply.started": "2025-03-23T12:05:05.752534Z"
}
},
"outputs": [
@@ -81,7 +85,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"14\n"
"34\n"
]
}
],
@@ -95,7 +99,7 @@
"filename = 'data/延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"filename = 'data/marks_20250315.csv'\n",
"filename = 'data/marks_20250323.csv'\n",
"re_ta = My.get_result(filename,dict1)\n",
"\n",
"filename = 'data/result_延庆人员.json'\n",
@@ -114,15 +118,15 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 31,
"id": "8f459ed3-fc14-404f-998b-5ed2a15958c3",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-15T11:30:35.367110Z",
"iopub.status.busy": "2025-03-15T11:30:35.366428Z",
"iopub.status.idle": "2025-03-15T11:30:35.380746Z",
"shell.execute_reply": "2025-03-15T11:30:35.379748Z",
"shell.execute_reply.started": "2025-03-15T11:30:35.367051Z"
"iopub.execute_input": "2025-03-23T12:05:25.676321Z",
"iopub.status.busy": "2025-03-23T12:05:25.673408Z",
"iopub.status.idle": "2025-03-23T12:05:25.698862Z",
"shell.execute_reply": "2025-03-23T12:05:25.697358Z",
"shell.execute_reply.started": "2025-03-23T12:05:25.676245Z"
}
},
"outputs": [
@@ -326,15 +330,15 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 27,
"id": "7c170e0e-e618-42b2-99ee-7b6f2ee34bb4",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-15T11:30:50.221964Z",
"iopub.status.busy": "2025-03-15T11:30:50.221472Z",
"iopub.status.idle": "2025-03-15T11:30:50.229690Z",
"shell.execute_reply": "2025-03-15T11:30:50.229155Z",
"shell.execute_reply.started": "2025-03-15T11:30:50.221936Z"
"iopub.execute_input": "2025-03-19T06:03:51.230034Z",
"iopub.status.busy": "2025-03-19T06:03:51.229318Z",
"iopub.status.idle": "2025-03-19T06:03:51.242666Z",
"shell.execute_reply": "2025-03-19T06:03:51.241497Z",
"shell.execute_reply.started": "2025-03-19T06:03:51.229965Z"
}
},
"outputs": [
@@ -342,7 +346,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"7\n"
"8\n"
]
}
],
@@ -355,7 +359,6 @@
"import my_module as My\n",
"\n",
"dict1 = {}\n",
"\n",
"filename = 'data/result_延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
@@ -368,21 +371,13 @@
" if 'phone' in v.keys():\n",
" phone[v['phone']] = k\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20250315.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",
" list1.append(line)\n",
"\n",
"data1 = My.get_wenjuan(list1,phone,dict1,dict3)\n",
"\n",
"data1 = My.get_wenjuan(filename,phone,dict1,dict3)\n",
"\n",
"filename = 'data/result_延庆人员-1.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(data1[0], fl, ensure_ascii=False)\n",
"print(data1[1])\n"
"print(data1[1])"
]
},
{
@@ -395,15 +390,15 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 32,
"id": "9e843585-fef3-4f5c-baae-76e711f2a42f",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-15T11:31:04.247327Z",
"iopub.status.busy": "2025-03-15T11:31:04.246569Z",
"iopub.status.idle": "2025-03-15T11:31:12.426034Z",
"shell.execute_reply": "2025-03-15T11:31:12.425404Z",
"shell.execute_reply.started": "2025-03-15T11:31:04.247255Z"
"iopub.execute_input": "2025-03-23T12:06:54.063669Z",
"iopub.status.busy": "2025-03-23T12:06:54.062938Z",
"iopub.status.idle": "2025-03-23T12:07:09.016508Z",
"shell.execute_reply": "2025-03-23T12:07:09.015300Z",
"shell.execute_reply.started": "2025-03-23T12:06:54.063585Z"
}
},
"outputs": [
@@ -411,7 +406,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"14\n"
"32\n"
]
}
],
@@ -424,7 +419,7 @@
"headers = {\n",
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
" }\n",
"filename = 'data/result_延庆人员-1.json'\n",
"filename = 'data/result_延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
@@ -445,8 +440,7 @@
" if v['sex'] == '男':\n",
" mydata['gender'] = 'male'\n",
" else:\n",
" mydata['gender'] = 'female'\n",
" \n",
" mydata['gender'] = 'female' \n",
" mydata['month'] = v['month']\n",
" mydata['fits'] = {}\n",
" survey_list = ['tcm','psy','spine']\n",
@@ -454,9 +448,6 @@
" 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",
@@ -465,14 +456,14 @@
" 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 or len(mydata['surveys']) >0:\n",
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\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)"
]
@@ -480,7 +471,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "7143c16b-6e45-4a10-a04c-6b90631ddfb0",
"id": "e67464a4-a588-4be4-9983-ac2555db08c4",
"metadata": {},
"outputs": [],
"source": []
体测单位/海淀老干部大学.ipynb
+29 -29
View File
@@ -122,15 +122,15 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 20,
"id": "fd005ed3-24ee-4b39-a619-6c83e64c2852",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-11T06:50:46.618660Z",
"iopub.status.busy": "2025-03-11T06:50:46.617709Z",
"iopub.status.idle": "2025-03-11T06:50:46.633813Z",
"shell.execute_reply": "2025-03-11T06:50:46.633056Z",
"shell.execute_reply.started": "2025-03-11T06:50:46.618581Z"
"iopub.execute_input": "2025-03-18T08:59:51.660525Z",
"iopub.status.busy": "2025-03-18T08:59:51.660023Z",
"iopub.status.idle": "2025-03-18T08:59:51.676922Z",
"shell.execute_reply": "2025-03-18T08:59:51.676147Z",
"shell.execute_reply.started": "2025-03-18T08:59:51.660475Z"
}
},
"outputs": [
@@ -138,7 +138,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"29\n"
"40\n"
]
}
],
@@ -155,7 +155,7 @@
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/marks_20250311.csv'\n",
"filename = 'data/marks_20250318.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
@@ -206,15 +206,15 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 21,
"id": "9481765c-92b7-4a58-b192-582bb001f167",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-11T06:51:42.447230Z",
"iopub.status.busy": "2025-03-11T06:51:42.446485Z",
"iopub.status.idle": "2025-03-11T06:51:42.461166Z",
"shell.execute_reply": "2025-03-11T06:51:42.459770Z",
"shell.execute_reply.started": "2025-03-11T06:51:42.447161Z"
"iopub.execute_input": "2025-03-18T08:59:58.639366Z",
"iopub.status.busy": "2025-03-18T08:59:58.638697Z",
"iopub.status.idle": "2025-03-18T08:59:58.654499Z",
"shell.execute_reply": "2025-03-18T08:59:58.653527Z",
"shell.execute_reply.started": "2025-03-18T08:59:58.639304Z"
}
},
"outputs": [
@@ -355,15 +355,15 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 22,
"id": "dd8ed4fe-5014-455f-993d-64a41519de6d",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-13T07:54:13.739008Z",
"iopub.status.busy": "2025-03-13T07:54:13.738365Z",
"iopub.status.idle": "2025-03-13T07:54:13.762948Z",
"shell.execute_reply": "2025-03-13T07:54:13.762206Z",
"shell.execute_reply.started": "2025-03-13T07:54:13.738946Z"
"iopub.execute_input": "2025-03-18T09:00:09.951390Z",
"iopub.status.busy": "2025-03-18T09:00:09.949962Z",
"iopub.status.idle": "2025-03-18T09:00:09.977680Z",
"shell.execute_reply": "2025-03-18T09:00:09.977238Z",
"shell.execute_reply.started": "2025-03-18T09:00:09.951310Z"
}
},
"outputs": [
@@ -371,7 +371,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"27\n"
"36\n"
]
}
],
@@ -397,7 +397,7 @@
" phone[v['phone']] = k\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20250313.csv'\n",
"filename = 'data/Survey_20250318.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
@@ -470,15 +470,15 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 23,
"id": "b8b2fc93-9e8b-4bde-bc13-2de179de2b2d",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-13T07:54:20.836739Z",
"iopub.status.busy": "2025-03-13T07:54:20.836013Z",
"iopub.status.idle": "2025-03-13T07:54:37.198424Z",
"shell.execute_reply": "2025-03-13T07:54:37.197192Z",
"shell.execute_reply.started": "2025-03-13T07:54:20.836671Z"
"iopub.execute_input": "2025-03-18T09:00:27.649247Z",
"iopub.status.busy": "2025-03-18T09:00:27.648488Z",
"iopub.status.idle": "2025-03-18T09:00:49.222330Z",
"shell.execute_reply": "2025-03-18T09:00:49.221284Z",
"shell.execute_reply.started": "2025-03-18T09:00:27.649176Z"
}
},
"outputs": [
@@ -486,7 +486,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"29\n"
"40\n"
]
}
],
体测单位/青海.ipynb
+289 -6
View File
@@ -1433,6 +1433,72 @@
"print(len(re_ta))"
]
},
{
"cell_type": "markdown",
"id": "0658cf8a-9c37-45c8-84db-e24ad29b64c7",
"metadata": {},
"source": [
"## 生成测试得分"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "58e5805d-e778-4ec5-a1cb-3b34207baea7",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-26T05:55:00.358304Z",
"iopub.status.busy": "2025-03-26T05:55:00.357480Z",
"iopub.status.idle": "2025-03-26T05:55:00.376296Z",
"shell.execute_reply": "2025-03-26T05:55:00.375437Z",
"shell.execute_reply.started": "2025-03-26T05:55:00.358233Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok!\n"
]
}
],
"source": [
"import json\n",
"import time\n",
"import my_module as My\n",
"\n",
"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
"filename = 'data/result_青海2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl) \n",
"for k, v in dict2.items():\n",
" #print(k)\n",
" if v['sex'] == '男':\n",
" sex = 'M'\n",
" else:\n",
" sex = 'F' \n",
" if 'bmi' in v.keys():\n",
" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
" bmi_data = v['bmi']['成绩']\n",
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
" dict2[k]['bmi'] = {}\n",
" dict2[k]['bmi']['成绩'] = bmi_data\n",
" dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n",
" for item_en in list_item:\n",
" if item_en in v.keys(): \n",
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
" #print(k,v['name'])\n",
" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
"\n",
"filename = f'data/result_青海2025.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict2,fl , ensure_ascii=False) \n",
"print('ok!') "
]
},
{
"cell_type": "markdown",
"id": "c6ede59a-e5a0-489b-853f-f317e12b1fa3",
@@ -1443,15 +1509,15 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 2,
"id": "f3d39079-fa3a-400c-990e-75a8a0a7b42d",
"metadata": {
"execution": {
"iopub.execute_input": "2025-01-20T01:12:49.821141Z",
"iopub.status.busy": "2025-01-20T01:12:49.820394Z",
"iopub.status.idle": "2025-01-20T01:12:49.854877Z",
"shell.execute_reply": "2025-01-20T01:12:49.854327Z",
"shell.execute_reply.started": "2025-01-20T01:12:49.821069Z"
"iopub.execute_input": "2025-03-26T05:55:54.431815Z",
"iopub.status.busy": "2025-03-26T05:55:54.431138Z",
"iopub.status.idle": "2025-03-26T05:55:54.621742Z",
"shell.execute_reply": "2025-03-26T05:55:54.621190Z",
"shell.execute_reply.started": "2025-03-26T05:55:54.431756Z"
}
},
"outputs": [],
@@ -1504,6 +1570,131 @@
"wb.save(filename)"
]
},
{
"cell_type": "markdown",
"id": "cd0822ae-0d56-4da4-88f4-abbef0bbe77d",
"metadata": {},
"source": [
"## 导入问卷信息"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "a9ead9a5-8006-414d-afe9-c1cb9ccfc378",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-26T08:49:28.501374Z",
"iopub.status.busy": "2025-03-26T08:49:28.500816Z",
"iopub.status.idle": "2025-03-26T08:49:28.528745Z",
"shell.execute_reply": "2025-03-26T08:49:28.528262Z",
"shell.execute_reply.started": "2025-03-26T08:49:28.501320Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"46\n"
]
}
],
"source": [
"import json\n",
"import csv\n",
"import openpyxl\n",
"import time\n",
"from datetime import date\n",
"#import my_module as My\n",
"\n",
"dict1 = {}\n",
"filename = 'data/result_青海2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"filename = 'data/青海人员2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"\n",
"phone = {}\n",
"for k,v in dict3.items():\n",
" if 'phone' in v.keys():\n",
" phone[str(v['phone'])] = k\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20250118.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",
" list1.append(line)\n",
"#print(list1)\n",
"dict2 = {}\n",
"psy =[]\n",
"tcm = []\n",
"spine = []\n",
"for i in range(0,45):\n",
" psy.append(0)\n",
"psy[44] = []\n",
"for i in range(0,60):\n",
" tcm.append(0)\n",
"for i in range(0,26):\n",
" spine.append(0)\n",
"\n",
"for item in list1:\n",
" if item[2] in phone.keys():\n",
" psy =[]\n",
" tcm = []\n",
" spine = []\n",
" for i in range(0,45):\n",
" psy.append(0)\n",
" psy[44] = []\n",
" for i in range(0,60):\n",
" tcm.append(0)\n",
" for i in range(0,26):\n",
" spine.append(0)\n",
" \n",
" content = json.loads(item[5])\n",
" if phone[item[2]] not in dict1.keys():\n",
" dict1[phone[item[2]]] = dict3[phone[item[2]]]\n",
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
" else:\n",
" rq = date.fromisoformat('2025-01-18')\n",
" for k, v in content.items():\n",
" if 'psy' in k:\n",
" i = int(k[3:])\n",
" psy[i-1] = int(v)\n",
" if 'tcm' in k:\n",
" i = int(k[3:])\n",
" tcm[i-1] = int(v)\n",
" if 'spine' in k:\n",
" i = int(k[5:])\n",
" spine[i-1] = int(v)\n",
" if 'psy' in item[5]:\n",
" #for i in range(5,26):\n",
" # new_valve = 5-psy[i]\n",
" # psy[i] = new_valve\n",
" \n",
" \n",
" dict1[phone[item[2]]]['psy'] = psy\n",
" if 'tcm' in item[5]:\n",
" dict1[phone[item[2]]]['tcm'] = tcm\n",
" if 'spine' in item[5]:\n",
" dict1[phone[item[2]]]['spine'] = spine\n",
" birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n",
" \n",
" days = (rq-birth).days \n",
" dict1[phone[item[2]]]['age'] = int(days/365)\n",
" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
" \n",
"\n",
"filename = 'data/result_青海2025-1.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False)\n",
"print(data1[1])"
]
},
{
"cell_type": "markdown",
"id": "a19c9733-7af5-4dc6-a0ca-cc35069f532a",
@@ -1716,6 +1907,98 @@
"wb.save(filename) "
]
},
{
"cell_type": "markdown",
"id": "dfaaae02-8f9b-42b1-80df-51e7c0e22495",
"metadata": {},
"source": [
"## 生成报告"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "0ca61654-55b9-4d29-87ce-879c5f87ecd9",
"metadata": {
"execution": {
"iopub.execute_input": "2025-04-07T12:22:29.224569Z",
"iopub.status.busy": "2025-04-07T12:22:29.223783Z",
"iopub.status.idle": "2025-04-07T12:23:12.231320Z",
"shell.execute_reply": "2025-04-07T12:23:12.230105Z",
"shell.execute_reply.started": "2025-04-07T12:22:29.224494Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"72\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_青海2025-1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./青海2025-1/'\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'] = '青海油田勘探事业部'\n",
" mydata['subtitle'] = v['unit']\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 or len(mydata['surveys']) >0:\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": "markdown",
"id": "1208eb16-a220-48c4-8c9e-cc4dbf67306e",