20241126
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+15
-6
@@ -1,5 +1,17 @@
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def cal_score(data1):
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#data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}
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import sys,os
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sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
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import json
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import time
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filename = 'data/体质检测标准 (1).json'
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with open(filename,'r') as fl:
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dict1 = json.load(fl)
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filename = 'data/体质检测标准_BMI.json'
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with open(filename,'r') as fl:
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dict4 = json.load(fl)
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def cal_score(data1):
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person = dict1['person']
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criteria = dict1['criteria']
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if data1['age'] >59:
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@@ -28,8 +40,7 @@ def cal_score(data1):
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score = 5
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return(score)
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def cal_bmi(data1):
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# data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}
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def cal_bmi(data1):
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person = dict4['person']
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criteria = dict4['criteria']
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if data1['age'] > 59:
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@@ -38,9 +49,7 @@ def cal_bmi(data1):
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data1['age'] = 20
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info = data1['sex']+str(data1['age'])
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bz = person[info]
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#print(bz)
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result = data1['result']
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#print(data1['code'],result)
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height = int(float(result.split(',')[0]))
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weight = float(result.split(',')[1])
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if str(height) not in criteria[bz]:
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+237
-104
@@ -1744,27 +1744,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"id": "f0608de5-07ae-458c-999e-60968314f058",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-18T07:24:22.978299Z",
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"iopub.status.busy": "2024-11-18T07:24:22.977549Z",
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"iopub.status.idle": "2024-11-18T07:24:23.255535Z",
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"shell.execute_reply": "2024-11-18T07:24:23.254995Z",
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"shell.execute_reply.started": "2024-11-18T07:24:22.978234Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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@@ -2122,26 +2107,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "c9262823-f492-4934-a0ce-f8f80c4a1bea",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-21T06:38:27.978576Z",
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"iopub.status.busy": "2024-11-21T06:38:27.977760Z",
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"iopub.status.idle": "2024-11-21T06:38:28.260893Z",
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"shell.execute_reply": "2024-11-21T06:38:28.260411Z",
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"shell.execute_reply.started": "2024-11-21T06:38:27.978502Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -2178,26 +2147,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"id": "ffd34b08-40fd-45c5-a2d3-33c460c7b1dd",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-15T08:58:30.529702Z",
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"iopub.status.busy": "2024-11-15T08:58:30.528869Z",
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"iopub.status.idle": "2024-11-15T08:58:30.546247Z",
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"shell.execute_reply": "2024-11-15T08:58:30.545156Z",
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"shell.execute_reply.started": "2024-11-15T08:58:30.529616Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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@@ -2227,15 +2180,146 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "202dcc9d-1f36-43c4-ad8d-8ee8c9db90ce",
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"execution_count": null,
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"id": "e1a1b329-acf1-4be9-bcf0-736dbe7f8e0b",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import datetime\n",
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"import csv\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"re_ta = {}\n",
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"list1 = []\n",
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"filename = 'data/北海炼化人员2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/marks_20241124.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" rq = date.fromisoformat(result[5].replace('/','-'))\n",
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" if user in dict1.keys():\n",
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" l_xm = []\n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" if 'phone' in dict1[user].keys():\n",
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" re_ta[user]['phone'] = dict1[user]['phone']\n",
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" if dict1[user]['sex'] == '男':\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" item_name = result[3] \n",
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" if item_name in l_xm: \n",
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" days = (rq-birth).days \n",
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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" re_ta[user]['rq'] = result[5]\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = result[4] \n",
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" re_ta[user][item_name]['成绩'] = score\n",
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"\n",
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"filename = 'data/result_北海炼化2024.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "beaccc86-fddc-4207-b0d6-2124800ff0fd",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "17ebb0fd-9a45-47a4-bbe9-f4fb0a3481f6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','banlance','reaction','step']\n",
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"title = ['编号','姓名','性别','单位','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",
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"\n",
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"filename = 'data/result_北海炼化2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/北海炼化人员2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit'])\n",
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" if 'bmi' in v.keys():\n",
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" height = v['bmi']['成绩'].split(',')[0]\n",
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" weight = v['bmi']['成绩'].split(',')[1]\n",
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" list2.append(height)\n",
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" list2.append(weight)\n",
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" else:\n",
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" list2.append('')\n",
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" list2.append('')\n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('')\n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/北海炼化体测情况表2024.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0be2a006-d1c9-4c0f-b1e0-ed347aa5b7ad",
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"metadata": {},
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"source": [
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"## 生成测试得分"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "dd89efe8-13b9-4db8-8c39-2a48888dd635",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2024-11-23T10:36:27.159751Z",
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||||
"iopub.status.busy": "2024-11-23T10:36:27.159001Z",
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"iopub.status.idle": "2024-11-23T10:36:27.181532Z",
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"shell.execute_reply": "2024-11-23T10:36:27.181062Z",
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||||
"shell.execute_reply.started": "2024-11-23T10:36:27.159680Z"
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||||
"iopub.execute_input": "2024-11-26T01:21:08.964696Z",
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||||
"iopub.status.busy": "2024-11-26T01:21:08.963964Z",
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||||
"iopub.status.idle": "2024-11-26T01:21:09.431950Z",
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||||
"shell.execute_reply": "2024-11-26T01:21:09.431433Z",
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||||
"shell.execute_reply.started": "2024-11-26T01:21:08.964630Z"
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||||
}
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},
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"outputs": [
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@@ -2243,65 +2327,114 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"159\n",
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"159\n"
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"ok!\n"
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]
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||||
}
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],
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"source": [
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"import json\n",
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"import time\n",
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"import csv\n",
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"import my_module as My\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_北海炼化2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/北海炼化人员2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/marks_20241123.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" item_name = result[3] \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" re_ta[user]['rq'] = result[5].replace('/','-')\n",
|
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" #re_ta[user]['sub_unit'] = dict1[user]['sub_unit'] \n",
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" re_ta[user].setdefault(item_name,{})\n",
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" re_ta[user][item_name]['成绩'] = result[4]\n",
|
||||
"print(len(re_ta))\n",
|
||||
"filename = 'data/result_北海炼化人员2024.json'\n",
|
||||
" dict2 = json.load(fl) \n",
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"for k, v in dict2.items():\n",
|
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" #print(k)\n",
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" if v['sex'] == '男':\n",
|
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
|
||||
" if 'bmi' in v.keys():\n",
|
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" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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||||
" 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",
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||||
" 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",
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||||
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
|
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" #print(k,v['name'])\n",
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" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
|
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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||||
"filename = f'data/result_北海炼化2024.json'\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||||
"print(len(re_ta))"
|
||||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||||
"print('ok!') "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "378982cd-8f4a-4b61-a87c-a138eb891342",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 生成体测成绩明细表"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "7e5d9787-e982-4afd-8d48-83766f5ed1d0",
|
||||
"id": "a1a12409-aab8-47af-b10d-7ecb20b3b332",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
|
||||
"bmi = ['height','weight']\n",
|
||||
"title = ['编号','姓名','性别','单位/部门','身高','体重','bmi','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_北海炼化2024.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"\n",
|
||||
"list1 = []\n",
|
||||
"for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n",
|
||||
" list2 = []\n",
|
||||
" list2.append(str(k).rjust(5,'0'))\n",
|
||||
" list2.append(dict1[k]['name']) \n",
|
||||
" list2.append(dict1[k]['sex'])\n",
|
||||
" list2.append(dict1[k]['unit'])\n",
|
||||
" #list2.append(dict1[k]['phone'])\n",
|
||||
" i = 0\n",
|
||||
" if 'bmi' in dict1[k].keys():\n",
|
||||
" list2.append(dict1[k]['height']['成绩'])\n",
|
||||
" list2.append(dict1[k]['weight']['成绩'])\n",
|
||||
" list2.append(dict1[k]['bmi']['score'])\n",
|
||||
" i+=1\n",
|
||||
" else:\n",
|
||||
" list2.append('') \n",
|
||||
" list2.append('') \n",
|
||||
" list2.append('') \n",
|
||||
" \n",
|
||||
" \n",
|
||||
" for item in items:\n",
|
||||
" if item in dict1[k].keys():\n",
|
||||
" list2.append(dict1[k][item]['成绩'])\n",
|
||||
" list2.append(dict1[k][item]['score']) \n",
|
||||
" i+=1\n",
|
||||
" elif item =='name':\n",
|
||||
" list2.append(dict1[k][item])\n",
|
||||
" else:\n",
|
||||
" list2.append('') \n",
|
||||
" list2.append('') \n",
|
||||
" if i>2:\n",
|
||||
" list1.append(list2)\n",
|
||||
"filename = 'data/北海炼化体测情况表.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)\n",
|
||||
"print('ok') "
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
Reference in new issue
Block a user