20240103
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@@ -4,6 +4,7 @@
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"cell_type": "markdown",
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"id": "4626da6c-d228-4270-8d8d-c98784a106ad",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": [],
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"toc-hr-collapsed": true
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},
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@@ -493,7 +494,6 @@
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"cell_type": "markdown",
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"id": "59d38404-e097-4f08-a3fd-565e351f09bb",
|
||||
"metadata": {
|
||||
"jp-MarkdownHeadingCollapsed": true,
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||||
"tags": [],
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"toc-hr-collapsed": true
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},
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@@ -1550,10 +1550,412 @@
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" print(v['unit'],url)"
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]
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},
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{
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"cell_type": "markdown",
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||||
"id": "2112bdec-bd4e-46b7-88cb-ec53e70ad844",
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"metadata": {},
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"source": [
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"## 报告添加水印"
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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": 137,
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||||
"id": "ced8ec31-2b80-4ba1-901a-233f0c31c32c",
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||||
"metadata": {
|
||||
"execution": {
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||||
"iopub.execute_input": "2023-12-28T03:47:55.677670Z",
|
||||
"iopub.status.busy": "2023-12-28T03:47:55.677205Z",
|
||||
"iopub.status.idle": "2023-12-28T03:48:41.694191Z",
|
||||
"shell.execute_reply": "2023-12-28T03:48:41.693753Z",
|
||||
"shell.execute_reply.started": "2023-12-28T03:47:55.677631Z"
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||||
},
|
||||
"tags": []
|
||||
},
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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 os,sys,shutil\n",
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"import json\n",
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"import glob\n",
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"from pathlib import Path\n",
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"import PyPDF2\n",
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"\n",
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"\n",
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"pdfWriter = PyPDF2.PdfWriter() \n",
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"\n",
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"fi_path = '/home/songyi/python/mycrm/flask/pdf/files/309118_1'\n",
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"new_path = 'file/309118_sy'\n",
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"\n",
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"filename = 'data/北京农行百日筑基.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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"water = PyPDF2.PdfReader('data/气虚质.pdf').pages[0]\n",
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"fls = glob.glob(f'{fi_path}/*.pdf')\n",
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"for fn in fls:\n",
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" reader = PyPDF2.PdfReader(fn)\n",
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" writer = PyPDF2.PdfWriter()\n",
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" num = len(reader.pages)\n",
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" code =str(int(Path(fn).stem.split('-')[0]))\n",
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" sy_fn = 'data/'+dict1[code]['unit']+'.pdf'\n",
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" water = PyPDF2.PdfReader(sy_fn).pages[0]\n",
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" for i in range(num):\n",
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" page = reader.pages[i]\n",
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" if i == num -1:\n",
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" page.merge_page(water)\n",
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" writer.add_page(page)\n",
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" with open(f'file/309118_sy/{Path(fn).stem}.pdf', 'wb') as target_file:\n",
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" writer.write(target_file)\n",
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" \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": "markdown",
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"id": "223fa825-da92-4667-bfc4-d359b87d3385",
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"metadata": {},
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"source": [
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"## 核对有体测无报告人员"
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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": 134,
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"id": "12155bbc-81c7-48c5-a6bf-228184e9382c",
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"metadata": {
|
||||
"execution": {
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||||
"iopub.execute_input": "2023-12-28T03:13:06.270708Z",
|
||||
"iopub.status.busy": "2023-12-28T03:13:06.270214Z",
|
||||
"iopub.status.idle": "2023-12-28T03:13:06.288938Z",
|
||||
"shell.execute_reply": "2023-12-28T03:13:06.288393Z",
|
||||
"shell.execute_reply.started": "2023-12-28T03:13:06.270668Z"
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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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"['11', '27', '28', '29', '31', '32', '34', '42', '47', '52', '60', '64', '75', '84', '85', '87', '98', '103', '104', '105', '106', '111', '113', '114', '118', '119', '123', '137', '151', '162', '222']\n"
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]
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}
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],
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"source": [
|
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"import os,sys,shutil\n",
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"import json\n",
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"import glob\n",
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"from pathlib import Path\n",
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"import PyPDF2\n",
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"\n",
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"\n",
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"pdfWriter = PyPDF2.PdfWriter() \n",
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"\n",
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"fi_path = '/home/songyi/python/mycrm/flask/pdf/files/309118'\n",
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"new_path = 'file/309118_sy'\n",
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"\n",
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"filename = 'data/北京农行百日筑基.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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"list1 = []\n",
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"fls = glob.glob(f'{fi_path}/*.pdf')\n",
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"for fn in fls:\n",
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" code =str(int(Path(fn).stem.split('-')[0]))\n",
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" list1.append(code)\n",
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"list2 = []\n",
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"for k, v in dict1.items():\n",
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" if k not in list1 and k!='50':\n",
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" list2.append(k)\n",
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"print(list2)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "95c57366-499f-4fa6-9504-2bb67e61d203",
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"metadata": {},
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"source": [
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"## 补充第一次测试人员报告"
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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": 133,
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"id": "edfbc320-a295-4564-b1e5-9165df5fbb22",
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||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2023-12-28T03:12:46.687698Z",
|
||||
"iopub.status.busy": "2023-12-28T03:12:46.687241Z",
|
||||
"iopub.status.idle": "2023-12-28T03:12:46.720241Z",
|
||||
"shell.execute_reply": "2023-12-28T03:12:46.719132Z",
|
||||
"shell.execute_reply.started": "2023-12-28T03:12:46.687658Z"
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||||
},
|
||||
"tags": []
|
||||
},
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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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"30\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/北京农行人员名单all.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_20231228.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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" if user in list2:\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",
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" 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",
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\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",
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" #print(k,nian,yue,ri)\n",
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" item_name = item[m_item]['en'] \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[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_北京农行补充人员.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": 135,
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||||
"id": "8e578850-ea32-45e4-a78f-646c2a7aee1d",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2023-12-28T03:20:49.080841Z",
|
||||
"iopub.status.busy": "2023-12-28T03:20:49.080377Z",
|
||||
"iopub.status.idle": "2023-12-28T03:20:59.726002Z",
|
||||
"shell.execute_reply": "2023-12-28T03:20:59.724866Z",
|
||||
"shell.execute_reply.started": "2023-12-28T03:20:49.080802Z"
|
||||
},
|
||||
"tags": []
|
||||
},
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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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"30\n"
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||||
]
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||||
}
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||||
],
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||||
"source": [
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||||
"import requests\n",
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"import json\n",
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"import openpyxl\n",
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"\n",
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"\n",
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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_北京农行补充人员.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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"fiie_path ='./北京农行补充/'\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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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(4,\"0\")\n",
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" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '中国农业银行股份有限公司'\n",
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" mydata['subtitle'] = '北京市分行'\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" mydata['month'] = v['month']\n",
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" mydata['fits'] = {}\n",
|
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" survey_list = ['tcm','psy','spine']\n",
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" for item in survey_list:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('surveys',{})\n",
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" mydata['surveys'][item] = v[item]\n",
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" \n",
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" \n",
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" #mydata['fits'] = {}\n",
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" for item in list_item:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('fits',{})\n",
|
||||
" if item in ['lung','pushup','step','situp']:\n",
|
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
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" else:\n",
|
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" 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",
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||||
" \n",
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" list1.append(mydata)\n",
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" list2.append([k,v['name']])\n",
|
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" i+=1\n",
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||||
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
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" #print(id,v['name'],x.text)\n",
|
||||
" #print(mydata)\n",
|
||||
" #x.close()\n",
|
||||
"print(i)"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "3fcb653d-8f2b-4f01-99e0-9e563631563b",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 生成手机验证码"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 138,
|
||||
"id": "2fc466e3-80cf-4357-8910-94f8548cd3a5",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2023-12-28T03:57:03.930890Z",
|
||||
"iopub.status.busy": "2023-12-28T03:57:03.930680Z",
|
||||
"iopub.status.idle": "2023-12-28T03:57:04.143869Z",
|
||||
"shell.execute_reply": "2023-12-28T03:57:04.143389Z",
|
||||
"shell.execute_reply.started": "2023-12-28T03:57:03.930868Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import openpyxl\n",
|
||||
"import os,sys,shutil\n",
|
||||
"import json\n",
|
||||
"import math\n",
|
||||
"import glob\n",
|
||||
"import random\n",
|
||||
"from pathlib import Path\n",
|
||||
"import pymongo\n",
|
||||
"\n",
|
||||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||||
"mydb = myclient[\"baogao\"]\n",
|
||||
"\n",
|
||||
"place_id = 309118\n",
|
||||
"place_code = '03'\n",
|
||||
"dw_name = '中国农业银行股份有限公司北京市分行'\n",
|
||||
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
|
||||
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
|
||||
"\n",
|
||||
"code_list = []\n",
|
||||
"for i in range(10): # 0~9\n",
|
||||
" code_list.append(str(i))\n",
|
||||
" \n",
|
||||
"list1 = []\n",
|
||||
"i = 0\n",
|
||||
"while i < len(fls):\n",
|
||||
" code = random.sample(code_list,4) #随机取4位数\n",
|
||||
" code_num = ''.join(code) \n",
|
||||
" if place_code+code_num not in list1:\n",
|
||||
" list1.append(place_code+code_num)\n",
|
||||
" i +=1\n",
|
||||
"i = 0\n",
|
||||
"list2= []\n",
|
||||
"for fn in fls:\n",
|
||||
" dict2 = {}\n",
|
||||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||||
" code = int(fi_name)\n",
|
||||
" dxm = list1[i]\n",
|
||||
" dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n",
|
||||
" list2.append(dict2)\n",
|
||||
" i +=1\n",
|
||||
"mycol = mydb[\"pdf\"]\n",
|
||||
"x = mycol.insert_many(list2)\n",
|
||||
"print('ok') \n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "70dbcf3b-4e6e-4462-8d55-dba314460eaf",
|
||||
"id": "4be9bcbe-bfeb-450e-9863-1d49605979a3",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
|
||||
Reference in new issue
Block a user