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512song committed 2025-03-15 20:12:08 +08:00
1 parent fe91eda8cc
commit 462f74a745
2 files changed
+278 -153
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体测单位/my_module.py
+92 -1
View File
@@ -3,6 +3,8 @@ sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import json
import time
from datetime import date
import csv
filename = 'data/体质检测标准 (1).json'
with open(filename,'r') as fl:
@@ -66,4 +68,93 @@ def cal_bmi(data1):
score = 3
elif weight > mx[3]:
score = 1
return score
return score
def get_wenjuan(list1,phone,dict1,dict3):
nn = 0
for item in list1:
if item[2] in phone.keys():
psy =[]
tcm = []
spine = []
for i in range(0,30):
psy.append(0)
for i in range(0,60):
tcm.append(0)
for i in range(0,26):
spine.append(0)
content = json.loads(item[5])
if phone[item[2]] not in dict1.keys():
dict1[phone[item[2]]] = dict3[phone[item[2]]]
rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])
dict1[phone[item[2]]]['rq'] = item[6].replace('/','-').split(' ')[0]
else:
rq = dict1[phone[item[2]]]['rq'].replace('/','-').split(' ')[0]
for k, v in content.items():
if 'psyOld' in k:
i = int(k[6:])
psy[i-1] = int(v)
if 'tcm' in k:
i = int(k[3:])
tcm[i-1] = int(v)
if 'spine' in k:
i = int(k[5:])
spine[i-1] = int(v)
if 'psyOld' in item[5]:
dict1[phone[item[2]]]['psy_yangmiao_old'] = psy
if 'tcm' in item[5]:
dict1[phone[item[2]]]['tcm'] = tcm
if 'spine' in item[5]:
for ii in range(25,23,-1):
spine[ii] = spine[ii-1]
spine[22] = 0
dict1[phone[item[2]]]['spine'] = spine
birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))
rq = date.fromisoformat(dict1[phone[item[2]]]['rq'].replace('/','-'))
days = (rq-birth).days
dict1[phone[item[2]]]['age'] = int(days/365)
dict1[phone[item[2]]]['month'] = int(days/365*12)
nn+=1
data1 = [dict1,nn]
return(data1)
def get_result(filename,dict1):
re_ta = {}
list1 = []
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
#line = re.sub('[\r\n\f ]{1,}', '', line)
list1.append(line)
for result in list1:
user = str(result[2])
rq = date.fromisoformat(result[5].replace('/','-'))
if user in dict1.keys():
l_xm = []
m_item = str(result[3])
re_ta.setdefault(user,{})
re_ta[user]['name'] = dict1[user]['name']
re_ta[user]['sex'] = dict1[user]['sex']
if 'phone' in dict1[user].keys():
re_ta[user]['phone'] = dict1[user]['phone']
if dict1[user]['sex'] == '男':
l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']
else:
l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']
#re_ta[user]['unit'] = dict1[user]['unit']
birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))
item_name = result[3]
if item_name in l_xm:
days = (rq-birth).days
re_ta[user]['age'] = int(days/365)
re_ta[user]['month'] = int(days/365*12)
re_ta[user]['rq'] = result[5]
re_ta[user].setdefault(item_name,{})
score = result[4]
re_ta[user][item_name]['成绩'] = score
return(re_ta)
体测单位/延庆.ipynb
+186 -152
View File
@@ -10,15 +10,15 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 5,
"id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-11T12:15:27.766643Z",
"iopub.status.busy": "2025-03-11T12:15:27.765962Z",
"iopub.status.idle": "2025-03-11T12:15:27.793362Z",
"shell.execute_reply": "2025-03-11T12:15:27.792793Z",
"shell.execute_reply.started": "2025-03-11T12:15:27.766564Z"
"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"
}
},
"outputs": [
@@ -47,7 +47,7 @@
" 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'] = sheet.cell(n, 5).value\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",
@@ -65,15 +65,15 @@
},
{
"cell_type": "code",
"execution_count": 30,
"id": "72ec680f-ec0d-44f9-919c-17c8e614b885",
"execution_count": 1,
"id": "36aa14f9-cdfd-4ad4-a84e-9809c9db9958",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-11T12:15:59.585308Z",
"iopub.status.busy": "2025-03-11T12:15:59.584674Z",
"iopub.status.idle": "2025-03-11T12:15:59.596989Z",
"shell.execute_reply": "2025-03-11T12:15:59.595883Z",
"shell.execute_reply.started": "2025-03-11T12:15:59.585249Z"
"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"
}
},
"outputs": [
@@ -81,7 +81,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
"14\n"
]
}
],
@@ -90,48 +90,13 @@
"import datetime\n",
"import csv\n",
"from datetime import date\n",
"import my_module as My\n",
"\n",
"\n",
"re_ta = {}\n",
"list1 = []\n",
"filename = 'data/延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/marks_20250311.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",
"\n",
"for result in list1:\n",
" user = str(result[2])\n",
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
" if user in dict1.keys():\n",
" l_xm = []\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",
" if 'phone' in dict1[user].keys():\n",
" re_ta[user]['phone'] = dict1[user]['phone']\n",
" if dict1[user]['sex'] == '男':\n",
" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
" else:\n",
" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
" #re_ta[user]['unit'] = dict1[user]['unit']\n",
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
" item_name = result[3] \n",
" if item_name in l_xm: \n",
" days = (rq-birth).days \n",
" re_ta[user]['age'] = int(days/365)\n",
" re_ta[user]['month'] = int(days/365*12)\n",
" re_ta[user]['rq'] = result[5]\n",
" re_ta[user].setdefault(item_name,{}) \n",
" score = result[4] \n",
" re_ta[user][item_name]['成绩'] = score\n",
"filename = 'data/marks_20250315.csv'\n",
"re_ta = My.get_result(filename,dict1)\n",
"\n",
"filename = 'data/result_延庆人员.json'\n",
"with open(filename,'w') as fl:\n",
@@ -149,15 +114,15 @@
},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 7,
"id": "8f459ed3-fc14-404f-998b-5ed2a15958c3",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-11T12:16:02.677677Z",
"iopub.status.busy": "2025-03-11T12:16:02.677141Z",
"iopub.status.idle": "2025-03-11T12:16:02.688486Z",
"shell.execute_reply": "2025-03-11T12:16:02.687588Z",
"shell.execute_reply.started": "2025-03-11T12:16:02.677626Z"
"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"
}
},
"outputs": [
@@ -205,98 +170,6 @@
"print('ok!') "
]
},
{
"cell_type": "markdown",
"id": "f86b0f59-c1f6-4523-aefd-854f04305ec9",
"metadata": {},
"source": [
"## 生成报告"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "9e843585-fef3-4f5c-baae-76e711f2a42f",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-11T12:16:06.507493Z",
"iopub.status.busy": "2025-03-11T12:16:06.506739Z",
"iopub.status.idle": "2025-03-11T12:16:08.382833Z",
"shell.execute_reply": "2025-03-11T12:16:08.381828Z",
"shell.execute_reply.started": "2025-03-11T12:16:06.507425Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\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_延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./延庆/'\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(5,\"0\")\n",
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
" mydata['title'] = '延庆'\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": "582e988f-3226-4209-a348-60be2a7750a1",
@@ -443,10 +316,171 @@
"print('ok') "
]
},
{
"cell_type": "markdown",
"id": "7a065563-5478-45df-bf7d-3c2654ca1607",
"metadata": {},
"source": [
"## 导入问卷信息"
]
},
{
"cell_type": "code",
"execution_count": 8,
"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"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7\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",
"\n",
"filename = 'data/result_延庆人员.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"filename = 'data/延庆人员.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[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",
"\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"
]
},
{
"cell_type": "markdown",
"id": "f86b0f59-c1f6-4523-aefd-854f04305ec9",
"metadata": {},
"source": [
"## 生成报告"
]
},
{
"cell_type": "code",
"execution_count": 9,
"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"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14\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_延庆人员-1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"file_path ='./延庆/'\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(5,\"0\")\n",
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
" mydata['title'] = '延庆'\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": "code",
"execution_count": null,
"id": "4caa7845-9391-4c32-8b34-932d0d5e395b",
"id": "7143c16b-6e45-4a10-a04c-6b90631ddfb0",
"metadata": {},
"outputs": [],
"source": []