diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb index 801a6e9..0764c04 100644 --- a/体测单位/北海炼化.ipynb +++ b/体测单位/北海炼化.ipynb @@ -4,6 +4,7 @@ "cell_type": "markdown", "id": "1c72f0cf-165b-4025-af9d-6771e4a0a5d1", "metadata": { + "jp-MarkdownHeadingCollapsed": true, "tags": [], "toc-hr-collapsed": true }, @@ -15,7 +16,6 @@ "cell_type": "markdown", "id": "61f4a6eb-797e-4fe2-95df-e27b316c95f1", "metadata": { - "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ @@ -1063,12 +1063,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 100, "id": "1aa45b35-7376-4c50-8275-79b090a6c758", "metadata": { + "execution": { + "iopub.execute_input": "2023-11-16T08:39:54.051678Z", + "iopub.status.busy": "2023-11-16T08:39:54.051221Z", + "iopub.status.idle": "2023-11-16T08:39:54.140085Z", + "shell.execute_reply": "2023-11-16T08:39:54.139600Z", + "shell.execute_reply.started": "2023-11-16T08:39:54.051641Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "697\n", + "697\n" + ] + } + ], "source": [ "import json\n", "import time\n", @@ -1183,9 +1199,16 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "63d5bccf-7351-4a08-863d-b1ca3b263eca", + "execution_count": 101, + "id": "c0128f52-8697-4258-aba0-89a522fb9cc0", "metadata": { + "execution": { + "iopub.execute_input": "2023-11-16T08:39:58.488835Z", + "iopub.status.busy": "2023-11-16T08:39:58.488433Z", + "iopub.status.idle": "2023-11-16T08:39:58.584720Z", + "shell.execute_reply": "2023-11-16T08:39:58.584247Z", + "shell.execute_reply.started": "2023-11-16T08:39:58.488803Z" + }, "tags": [] }, "outputs": [], @@ -1204,57 +1227,68 @@ "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", - "phone = set()\n", - "phone1 = set()\n", + "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", - " phone.add(v['phone'])\n", + " phone[v['phone']] = k\n", "list1 = []\n", "filename = 'data/Survey_20231114.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", - " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", + "#print(list1)\n", "dict2 = {}\n", - "psy,tcm,spine = []\n", - "m_rq = '2023-11-14'\n", - "rq= date.fromisoformat(m_rq.replace('/','-'))\n", + "psy = []\n", + "tcm = []\n", + "spine = []\n", + "\n", + "for i in range(0,44):\n", + " psy.append(0)\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: \n", + " if item[2] in phone.keys(): \n", " content = json.loads(item[5])\n", - " \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", " for k, v in content.items():\n", " if 'psy' in k:\n", " i = int(k[3:])\n", - " psy[i] = v\n", - " \n", - " i = int(k[1:])\n", - " list2[i-1] = v\n", - " dict2[item[2]] = list2\n", - "print(dict2) \n", - "for k, v in dict3.items():\n", - " if 'phone' in v.keys() and v['phone'] in dict2.keys():\n", - " if k not in dict1.keys():\n", - " dict1.setdefault(k,{})\n", - " dict1[k] = dict3[k]\n", - " days = (v['rq']-v['birth']).days \n", - " dict1[k]['age'] = int(days/365)\n", - " dict1[k]['month'] = int(days/365*12)\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", + " 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", - " dict1[k]['tcm'] = dict2[str(v['phone'])]\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", "filename = 'data/result_北海炼化2023.json'\n", "\n", "with open(filename,'w') as fl:\n", - " json.dump(dict1, fl, ensure_ascii=False) " + " json.dump(dict1, fl, ensure_ascii=False) " ] }, { "cell_type": "code", "execution_count": null, - "id": "c0128f52-8697-4258-aba0-89a522fb9cc0", + "id": "5f222727-d5b4-481f-8f1c-bea74b35936b", "metadata": { "tags": [] }, @@ -1275,7 +1309,6 @@ " dict3 = json.load(fl)\n", "\n", "phone = {}\n", - "\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[v['phone']] = k\n", @@ -1285,50 +1318,19 @@ " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", - " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "dict2 = {}\n", - "#psy = []\n", - "#m_rq = '2023-11-14'\n", - "#rq= date.fromisoformat(m_rq.replace('/','-'))\n", - "for item in list1:\n", - " if item[2] in phone.keys(): \n", - " content = json.loads(item[5])\n", - " print(phone[item[2]])\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", - " \n", - " psy = []\n", - " tcm = []\n", - " spine = []\n", - " for k, v in content.items():\n", - " if 'psy' in k:\n", - " i = int(k[3:])\n", - " psy.append(v)\n", - " if 'tcm' in k:\n", - " i = int(k[3:])\n", - " tcm.append(v)\n", - " if 'spine' in k:\n", - " i = int(k[5:])\n", - " spine.append(v)\n", - " if len(psy) > 1:\n", - " dict1[phone[item[2]]]['psy'] = psy\n", - " if len(tcm) > 1:\n", - " dict1[phone[item[2]]]['tcm'] = tcm\n", - " if len(psy) > 1:\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", - "filename = 'data/result_北海炼化2023.json'\n", - "\n", - "with open(filename,'w') as fl:\n", - " json.dump(dict1, fl, ensure_ascii=False) " + "psy = []\n", + "tcm = []\n", + "spine = []\n", + "for i in range(0,44):\n", + " psy.append(0)\n", + "for i in range(0,60):\n", + " tcm.append(0)\n", + "for i in range(0,26):\n", + " spine.append(0)\n", + "print(len(spine))" ] }, { diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb index 0e9209b..b473935 100644 --- a/体测单位/天津石化.ipynb +++ b/体测单位/天津石化.ipynb @@ -2540,6 +2540,206 @@ "print('ok')" ] }, + { + "cell_type": "markdown", + "id": "5facc164-841c-4866-8a2c-2d54f72d6a0b", + "metadata": {}, + "source": [ + "## 导入网上问卷内容" + ] + }, + { + "cell_type": "code", + "execution_count": 279, + "id": "35d1738a-1ec1-4764-bcbd-c1333fac6bfd", + "metadata": { + "execution": { + "iopub.execute_input": "2023-11-16T10:17:00.510134Z", + "iopub.status.busy": "2023-11-16T10:17:00.509670Z", + "iopub.status.idle": "2023-11-16T10:17:00.551276Z", + "shell.execute_reply": "2023-11-16T10:17:00.549886Z", + "shell.execute_reply.started": "2023-11-16T10:17:00.510096Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['12167', 'ptv_022_sh', '', '边晓睿', '3145586', '{\"gender\":\"f\",\"psy1\":4,\"psy2\":4,\"psy3\":4,\"psy4\":4,\"psy5\":4,\"psy6\":4,\"psy7\":3,\"psy8\":4,\"psy9\":4,\"psy10\":4,\"psy11\":4,\"psy12\":3,\"psy13\":3,\"psy14\":2,\"psy15\":4,\"psy16\":3,\"psy17\":4,\"psy18\":3,\"psy19\":4,\"psy20\":4,\"psy21\":4,\"psy22\":4,\"psy23\":4,\"psy24\":4,\"psy25\":4,\"psy26\":4,\"psy27\":0,\"psy28\":0,\"psy29\":0,\"psy30\":1,\"psy31\":1,\"psy32\":0,\"psy33\":1,\"psy34\":0,\"psy35\":1,\"psy36\":1,\"psy37\":1,\"psy38\":0,\"psy39\":0,\"psy40\":0,\"psy41\":5,\"psy42\":5,\"psy43\":5,\"psy44\":5,\"tcm1\":1,\"tcm2\":4,\"tcm3\":3,\"tcm4\":2,\"tcm5\":3,\"tcm6\":4,\"tcm7\":2,\"tcm8\":5,\"tcm9\":2,\"tcm10\":2,\"tcm11\":4,\"tcm12\":1,\"tcm13\":4,\"tcm14\":1,\"tcm15\":5,\"tcm16\":2,\"tcm17\":1,\"tcm18\":4,\"tcm19\":3,\"tcm20\":1,\"tcm21\":1,\"tcm22\":3,\"tcm23\":1,\"tcm24\":4,\"tcm25\":2,\"tcm26\":5,\"tcm27\":3,\"tcm28\":5,\"tcm29\":4,\"tcm30\":2,\"tcm31\":5,\"tcm32\":1,\"tcm33\":1,\"tcm34\":1,\"tcm35\":1,\"tcm36\":5,\"tcm37\":3,\"tcm38\":2,\"tcm39\":5,\"tcm40\":2,\"tcm41\":1,\"tcm42\":3,\"tcm43\":1,\"tcm44\":3,\"tcm45\":1,\"tcm46\":5,\"tcm47\":5,\"tcm48\":2,\"tcm49\":2,\"tcm50\":3,\"tcm51\":2,\"tcm52\":2,\"tcm53\":1,\"tcm54\":3,\"tcm55\":2,\"tcm56\":2,\"tcm57\":2,\"tcm58\":1,\"tcm59\":1,\"tcm60\":3,\"spine1\":1,\"spine2\":1,\"spine3\":2,\"spine4\":1,\"spine5\":2,\"spine6\":2,\"spine7\":2,\"spine8\":2,\"spine9\":1,\"spine10\":2,\"spine11\":1,\"spine12\":2,\"spine13\":2,\"spine14\":2,\"spine15\":1,\"spine16\":1,\"spine17\":2,\"spine18\":2,\"spine19\":2,\"spine20\":2,\"spine21\":1,\"spine23\":2,\"spine24\":1,\"spine25\":2,\"spine26\":2}', '2023-11-13 14:25:18']\n", + "['12168', 'ptv_022_sh', '', '孙海红', '1733738', '{\"gender\":\"f\",\"psy1\":3,\"psy2\":3,\"psy3\":2,\"psy4\":3,\"psy5\":3,\"psy6\":4,\"psy7\":3,\"psy8\":3,\"psy9\":4,\"psy10\":3,\"psy11\":4,\"psy12\":4,\"psy13\":3,\"psy14\":3,\"psy15\":3,\"psy16\":4,\"psy17\":4,\"psy18\":4,\"psy19\":4,\"psy20\":4,\"psy21\":3,\"psy22\":4,\"psy23\":4,\"psy24\":4,\"psy25\":4,\"psy26\":4,\"psy27\":0,\"psy28\":0,\"psy29\":0,\"psy30\":0,\"psy31\":0,\"psy32\":0,\"psy33\":1,\"psy34\":1,\"psy35\":0,\"psy36\":0,\"psy37\":0,\"psy38\":0,\"psy39\":0,\"psy40\":1,\"psy41\":4,\"psy42\":4,\"psy43\":4,\"psy44\":4,\"tcm1\":2,\"tcm2\":4,\"tcm3\":4,\"tcm4\":3,\"tcm5\":1,\"tcm6\":3,\"tcm7\":1,\"tcm8\":4,\"tcm9\":1,\"tcm10\":1,\"tcm11\":4,\"tcm12\":3,\"tcm13\":4,\"tcm14\":1,\"tcm15\":3,\"tcm16\":3,\"tcm17\":3,\"tcm18\":3,\"tcm19\":3,\"tcm20\":3,\"tcm21\":2,\"tcm22\":2,\"tcm23\":2,\"tcm24\":1,\"tcm25\":1,\"tcm26\":1,\"tcm27\":3,\"tcm28\":1,\"tcm29\":3,\"tcm30\":2,\"tcm31\":2,\"tcm32\":2,\"tcm33\":2,\"tcm34\":3,\"tcm35\":5,\"tcm36\":3,\"tcm37\":2,\"tcm38\":2,\"tcm39\":2,\"tcm40\":1,\"tcm41\":2,\"tcm42\":1,\"tcm43\":1,\"tcm44\":3,\"tcm45\":3,\"tcm46\":3,\"tcm47\":2,\"tcm49\":2,\"tcm50\":2,\"tcm48\":2,\"tcm51\":2,\"tcm52\":2,\"tcm53\":3,\"tcm54\":3,\"tcm55\":1,\"tcm56\":1,\"tcm57\":1,\"tcm58\":2,\"tcm59\":1,\"tcm60\":5,\"spine1\":2,\"spine2\":1,\"spine3\":1,\"spine4\":1,\"spine5\":2,\"spine6\":2,\"spine7\":2,\"spine8\":2,\"spine9\":1,\"spine10\":2,\"spine11\":2,\"spine12\":2,\"spine13\":2,\"spine14\":2,\"spine15\":2,\"spine16\":2,\"spine17\":2,\"spine18\":2,\"spine19\":1,\"spine20\":2,\"spine21\":2,\"spine23\":2,\"spine24\":1,\"spine25\":1,\"spine26\":2}', '2023-11-13 14:32:18']\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "dict1 = {}\n", + "\n", + "filename = 'data/天津石化人员名单2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl)\n", + "\n", + "\n", + "list1 = []\n", + "filename = 'data/Survey_20231116.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", + "\n", + "\n", + "\n", + "\n", + "for item in list1:\n", + " psy = []\n", + " tcm = []\n", + " spine = []\n", + " for i in range(0,45):\n", + " psy.append(0)\n", + " for i in range(0,60):\n", + " tcm.append(0)\n", + " for i in range(0,26):\n", + " spine.append(0)\n", + " print(item)\n", + " content = json.loads(item[5])\n", + " if str(item[4]) not in dict1.keys():\n", + " dict1[str(item[4])] = dict3[str(item[4])]\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", + " psy[44] = []\n", + " dict1[str(item[4])]['psy'] = psy\n", + " if 'tcm' in item[5]:\n", + " dict1[str(item[4])]['tcm'] = tcm\n", + " if 'spine' in item[5]:\n", + " dict1[str(item[4])]['spine'] = spine\n", + " birth = date.fromisoformat(dict3[str(item[4])]['birth'].replace('/','-'))\n", + "\n", + " days = (rq-birth).days \n", + " dict1[str(item[4])]['age'] = int(days/365)\n", + " dict1[str(item[4])]['month'] = int(days/365*12)\n", + "#print(dict1)\n", + "filename = 'data/result_天津问卷.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d842c189-dcc2-4e31-9bc2-e272c929e6af", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 280, + "id": "cc9e1717-f445-49a9-a770-c103da603434", + "metadata": { + "execution": { + "iopub.execute_input": "2023-11-16T10:18:15.998767Z", + "iopub.status.busy": "2023-11-16T10:18:15.998303Z", + "iopub.status.idle": "2023-11-16T10:18:16.660154Z", + "shell.execute_reply": "2023-11-16T10:18:16.658708Z", + "shell.execute_reply.started": "2023-11-16T10:18:15.998730Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3145586 边晓睿 {\"errmsg\":\"ok\"}\n", + "1733738 孙海红 {\"errmsg\":\"ok\"}\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "headers = {\n", + " \"Content-Type\": \"application/json; charset=UTF-8\"\n", + " }\n", + "filename = 'data/result_天津问卷.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "fiie_path ='./政法委1/'\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i = 27\n", + "list2 = []\n", + "#list1 = []\n", + "for k,v in dict1.items(): \n", + " list1 = []\n", + " mydata = {} \n", + " id = k.rjust(3,\"0\")\n", + " mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '中石化(天津)石油化工\\n有限公司'\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", + " mydata['month'] = v['month']\n", + " \n", + " if 'tcm' in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys']['tcm'] = v['tcm']\n", + " if 'psy' in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys']['psy'] = v['psy']\n", + " if 'tcm' in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys']['spine'] = v['spine']\n", + " \n", + " \n", + " \n", + " list1.append(mydata)\n", + " #list2.append([k,dict1[k]['name']])\n", + "\n", + " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", + " print(id,dict1[k]['name'],x.text)\n", + " x.close()\n", + " #print(mydata)\n", + "#filename = 'data/data_天津问卷.json'\n", + "\n", + "#with open(filename,'w') as fl:\n", + "# json.dump(list1, fl, ensure_ascii=False) " + ] + }, { "cell_type": "markdown", "id": "85a03b00-9624-4ae9-aa6d-386798d457df", @@ -2551,6 +2751,7 @@ "shell.execute_reply": "2023-10-25T02:50:57.004773Z", "shell.execute_reply.started": "2023-10-25T02:50:56.997463Z" }, + "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [