20240613
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+622
-24
@@ -59,15 +59,15 @@
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},
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{
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"execution_count": 8,
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"tags": []
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},
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@@ -580,15 +580,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 9,
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"id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
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"metadata": {
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||||
"iopub.execute_input": "2024-05-20T06:58:40.070876Z",
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"tags": []
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},
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@@ -600,7 +600,7 @@
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"18993710898\n",
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"18894239366\n",
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"13801023617\n",
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"18093715391\n"
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"19009775378\n"
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]
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}
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],
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@@ -624,7 +624,7 @@
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" if 'phone' in v.keys():\n",
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" phone[v['phone']] = k\n",
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"list1 = []\n",
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"filename = 'data/Survey_20240520.csv'\n",
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"filename = 'data/Survey_20240612.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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@@ -708,15 +708,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 10,
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"id": "9e96d70b-3f7c-4c55-8c7a-f8373c2d9a7a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-05-15T13:07:55.856136Z",
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"tags": []
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},
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@@ -725,7 +725,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"30\n"
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"35\n"
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]
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}
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],
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@@ -738,11 +738,11 @@
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_青海all_1.json'\n",
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"filename = 'data/result_青海all_2.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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"list1 = []\n",
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"file_path ='./青海/'\n",
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"file_path ='./青海1/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=0\n",
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"list2 = []\n",
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@@ -972,10 +972,608 @@
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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": "5274f18f-c63b-4bfa-9222-d1586c42fac2",
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"metadata": {},
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"source": [
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"## 筛选家属人员"
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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": 13,
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"id": "3cc922d2-9a1f-4aa6-8011-5541fe2e9715",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-06-12T10:09:49.493466Z",
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"iopub.status.busy": "2024-06-12T10:09:49.492704Z",
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"shell.execute_reply": "2024-06-12T10:09:49.503561Z",
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"shell.execute_reply.started": "2024-06-12T10:09:49.493398Z"
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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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"source": [
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"import json\n",
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"\n",
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"dict3 = {}\n",
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"filename = 'data/青海.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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"filename = 'data/青海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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"for k, v in dict1.items():\n",
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" if k not in dict2.keys():\n",
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" dict3[k] = v\n",
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"filename = 'data/青海_家属.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(dict3, fl, ensure_ascii=False)\n",
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"print('ok')"
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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": 14,
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"id": "804f1cf0-c2e6-4c4d-841b-1cc5e25c35f7",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2024-06-12T10:11:46.968562Z",
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"iopub.status.busy": "2024-06-12T10:11:46.967823Z",
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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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"14\n",
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"14\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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"\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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"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/青海_家属.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/places_result_20240311.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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" 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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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_青海家属.json'\n",
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"\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": "code",
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||||
"execution_count": 15,
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||||
"id": "0faf3ee7-e075-42bd-84ca-aea2b4ee890e",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-06-12T10:13:41.889274Z",
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||||
"iopub.status.busy": "2024-06-12T10:13:41.887953Z",
|
||||
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||||
"shell.execute_reply.started": "2024-06-12T10:13:41.889194Z"
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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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"14\n",
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"14\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 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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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"item['1']['en'] = 'lung'\n",
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"item['2']['en'] = 'grip'\n",
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"item['3']['en'] = 'flexion'\n",
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"item['4']['en'] = 'jump'\n",
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"item['5']['en'] = 'pushup'\n",
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"item['6']['en'] = 'balance'\n",
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"item['7']['en'] = 'reaction'\n",
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"item['8']['en'] = 'step'\n",
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"item['9']['en'] = 'situp'\n",
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"item['10']['en'] = 'height'\n",
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"item['11']['en'] = 'weight'\n",
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"\n",
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"\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/青海_家属.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/places_result_20240311.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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"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\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[6].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 dict1[user]['sex'] == '男':\n",
|
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" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||||
" else:\n",
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" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||||
" #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" birth = date.fromisoformat(dict1[user]['birth'])\n",
|
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" #nian = int(birth[0].strip())\n",
|
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" #yue = int(birth[1].strip())\n",
|
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" #ri = int(birth[2].strip())\n",
|
||||
" #print(k,nian,yue,ri)\n",
|
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" item_name = item[m_item]['en'] \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",
|
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" re_ta[user]['rq'] = result[6]\n",
|
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"\n",
|
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"\n",
|
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" re_ta[user].setdefault(item_name,{}) \n",
|
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" score = int(result[4])/item[m_item]['divisor'] \n",
|
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
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"print(len(re_ta))\n",
|
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"filename = 'data/result_青海家属.json'\n",
|
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"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||||
"print(len(re_ta))"
|
||||
]
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||||
},
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||||
{
|
||||
"cell_type": "code",
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||||
"execution_count": 16,
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||||
"id": "62863430-1d61-4282-b500-7261c66ec176",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-06-12T10:15:13.832706Z",
|
||||
"iopub.status.busy": "2024-06-12T10:15:13.831999Z",
|
||||
"iopub.status.idle": "2024-06-12T10:15:13.851428Z",
|
||||
"shell.execute_reply": "2024-06-12T10:15:13.850214Z",
|
||||
"shell.execute_reply.started": "2024-06-12T10:15:13.832645Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"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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"source": [
|
||||
"import json\n",
|
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"import time\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",
|
||||
"with open(filename,'r') as fl:\n",
|
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" dict3 = json.load(fl) \n",
|
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"for k,v in dict3.items():\n",
|
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" item[k] = v\n",
|
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"item['1']['en'] = 'lung'\n",
|
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"item['2']['en'] = 'grip'\n",
|
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"item['3']['en'] = 'flexion'\n",
|
||||
"item['4']['en'] = 'jump'\n",
|
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"item['5']['en'] = 'pushup'\n",
|
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"item['6']['en'] = 'balance'\n",
|
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"item['7']['en'] = 'reaction'\n",
|
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"item['8']['en'] = 'step'\n",
|
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"item['9']['en'] = 'situp'\n",
|
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"item['10']['en'] = 'height'\n",
|
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"item['11']['en'] = 'weight'\n",
|
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"\n",
|
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"filename = 'data/体质检测标准 (1).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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"\n",
|
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"\n",
|
||||
"def cal_score(data1):\n",
|
||||
" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
|
||||
" person = dict1['person']\n",
|
||||
" criteria = dict1['criteria']\n",
|
||||
" if data1['age'] >59:\n",
|
||||
" data1['age'] = 59\n",
|
||||
" if data1['age'] <20:\n",
|
||||
" data1['age'] = 20\n",
|
||||
" info = data1['sex']+str(data1['age'])\n",
|
||||
" bz = person[info]\n",
|
||||
" mx = criteria[bz][data1['item']]\n",
|
||||
" result = data1['result'] \n",
|
||||
" if data1['item'] == 'reaction':\n",
|
||||
" for bz1 in mx:\n",
|
||||
" if result > bz1:\n",
|
||||
" #print(bz1)\n",
|
||||
" score = mx.index(bz1,0)\n",
|
||||
" break\n",
|
||||
" else:\n",
|
||||
" score = 5\n",
|
||||
" else:\n",
|
||||
" for bz1 in mx:\n",
|
||||
" if result < bz1:\n",
|
||||
" #print(bz1)\n",
|
||||
" score = mx.index(bz1,0)\n",
|
||||
" break\n",
|
||||
" else:\n",
|
||||
" score = 5\n",
|
||||
" return(score)\n",
|
||||
"filename = 'data/体质检测标准_BMI.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict4 = json.load(fl) \n",
|
||||
" \n",
|
||||
"def cal_bmi(data1):\n",
|
||||
" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
|
||||
" person = dict4['person']\n",
|
||||
" criteria = dict4['criteria']\n",
|
||||
" if data1['age'] > 59:\n",
|
||||
" data1['age'] = 59\n",
|
||||
" if data1['age'] <20:\n",
|
||||
" data1['age'] = 20\n",
|
||||
" info = data1['sex']+str(data1['age'])\n",
|
||||
" bz = person[info]\n",
|
||||
" #print(bz)\n",
|
||||
" result = data1['result']\n",
|
||||
" #print(data1['code'],result)\n",
|
||||
" height = int(float(result.split(',')[0]))\n",
|
||||
" weight = float(result.split(',')[1])\n",
|
||||
" if str(height) not in criteria[bz]:\n",
|
||||
" score = 1\n",
|
||||
" else: \n",
|
||||
" mx = criteria[bz][str(height)]\n",
|
||||
" if weight < mx[0]:\n",
|
||||
" score = 1\n",
|
||||
" elif weight < mx[1]:\n",
|
||||
" score = 3\n",
|
||||
" elif weight < mx[2]:\n",
|
||||
" score = 5 \n",
|
||||
" elif weight <= mx[3]:\n",
|
||||
" score = 3 \n",
|
||||
" elif weight > mx[3]:\n",
|
||||
" score = 1\n",
|
||||
" return score\n",
|
||||
" \n",
|
||||
" \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_青海家属.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 'height' in v.keys() and 'weight' in v.keys():\n",
|
||||
" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\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'] = 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",
|
||||
" dict2[k][item_en]['score'] = cal_score(data1)\n",
|
||||
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
|
||||
"\n",
|
||||
"filename = f'data/result_青海家属.json'\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||||
"print('ok!') "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"id": "35c83ea5-e331-4655-aba5-42720e2bc63a",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-06-12T10:16:48.636396Z",
|
||||
"iopub.status.busy": "2024-06-12T10:16:48.635668Z",
|
||||
"iopub.status.idle": "2024-06-12T10:16:48.657437Z",
|
||||
"shell.execute_reply": "2024-06-12T10:16:48.656829Z",
|
||||
"shell.execute_reply.started": "2024-06-12T10:16:48.636335Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"18993727823\n",
|
||||
"18909376562\n",
|
||||
"18993710970\n",
|
||||
"18997374506\n",
|
||||
"18997372109\n",
|
||||
"18093715987\n",
|
||||
"18997372608\n",
|
||||
"18993722556\n",
|
||||
"18894239366\n",
|
||||
"18993710998\n",
|
||||
"13801023617\n",
|
||||
"18993710998\n",
|
||||
"18993729661\n",
|
||||
"18093715391\n",
|
||||
"18993710973\n",
|
||||
"18997372109\n",
|
||||
"18993714097\n",
|
||||
"18909376963\n",
|
||||
"18993728737\n",
|
||||
"18997372608\n",
|
||||
"18909376562\n",
|
||||
"18993729661\n",
|
||||
"18993712026\n",
|
||||
"18993710395\n",
|
||||
"18997375563\n",
|
||||
"18993712869\n",
|
||||
"18993710955\n",
|
||||
"19009775378\n",
|
||||
"18997375312\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import csv\n",
|
||||
"import openpyxl\n",
|
||||
"import time\n",
|
||||
"from datetime import date\n",
|
||||
"\n",
|
||||
"filename = 'data/result_青海家属.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"\n",
|
||||
"filename = 'data/青海_家属.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",
|
||||
"list1 = []\n",
|
||||
"filename = 'data/Survey_20240612.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",
|
||||
" #print(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",
|
||||
" 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",
|
||||
" for i in range(26,40):\n",
|
||||
" new_valve = 1+psy[i]\n",
|
||||
" psy[i] = new_valve\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",
|
||||
" #rq =date.fromisoformat('2023-12-08')\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",
|
||||
" else:\n",
|
||||
" print(item[2])\n",
|
||||
"filename = 'data/result_青海家属.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"id": "1f137b9b-b51b-4a7a-baea-b1978e5f00c1",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-06-12T10:18:43.533220Z",
|
||||
"iopub.status.busy": "2024-06-12T10:18:43.532466Z",
|
||||
"iopub.status.idle": "2024-06-12T10:18:51.206996Z",
|
||||
"shell.execute_reply": "2024-06-12T10:18:51.205814Z",
|
||||
"shell.execute_reply.started": "2024-06-12T10:18:43.533131Z"
|
||||
}
|
||||
},
|
||||
"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_青海家属.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./青海家属/'\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'] = ''\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": "56a76ae9-bd4f-48ad-9e4c-ee16873b5850",
|
||||
"id": "56dfb00b-d907-4d0a-8a12-f39e9db6f6a2",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
|
||||
Reference in new issue
Block a user