406 lines
11 KiB
Plaintext
406 lines
11 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 正则表达式分割文本"
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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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"metadata": {
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"tags": []
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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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"import re\n",
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"\n",
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"file_name = 'data/药食材性味归经.xlsx'\n",
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"wb = openpyxl.load_workbook(file_name)\n",
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"sheet = wb.active\n",
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"#sheets = wb.sheetnames\n",
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"\n",
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"list1 = []\n",
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"dict1 = {}\n",
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"mo =r'[。入归].+经$'\n",
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"mo1 = r'[二]'\n",
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"mo2 = r'[，、；]'\n",
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"for n in range(2,sheet.max_row):\n",
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" name = sheet.cell(n,1).value\n",
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" content = re.findall(mo,sheet.cell(n,2).value)\n",
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" if len(content) > 0:\n",
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" l = len(content[0])\n",
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" gj = re.sub(mo1, '', content[0][1:l-1]) \n",
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" list_gj = re.split(mo2,gj)\n",
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" dict1[sheet.cell(n,1).value ] = list_gj\n",
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" #dict1['guijing'] = list_gj\n",
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" \n",
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"filename = './data/药食材归经.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl,ensure_ascii=False) \n",
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"\n",
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"#print(list1)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 药膳归经明细文件生成"
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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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"metadata": {
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"tags": []
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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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"\n",
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"filename = 'data/药膳210927.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/药食材归经.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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"k_zy = dict2.keys()\n",
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"dict3 = {}\n",
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"list1 = []\n",
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"for item in dict1:\n",
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" print(item['name'])\n",
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" list1 = []\n",
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" #print(i,item['zy'])\n",
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" for m_zy in item['zy']:\n",
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" if m_zy in k_zy:\n",
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" dict4 = {}\n",
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" print(m_zy,dict2[m_zy])\n",
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" dict4[m_zy] = dict2[m_zy]\n",
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" list1.append(dict4)\n",
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" dict3[item['name']] = list1\n",
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"filename = './data/药膳药食材.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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" \n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 药膳归经权重生成"
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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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"metadata": {
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"tags": []
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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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"import os,sys,shutil\n",
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"\n",
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"filename = './data/药膳药食材.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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"for k, v in dict1.items():\n",
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" if len(v) > 0 :\n",
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" dict2 = {}\n",
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" #print(k,v)\n",
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" ys_name = k\n",
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" dict2.setdefault(ys_name,{})\n",
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" for item in v:\n",
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" for k1, v1 in item.items():\n",
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" for item1 in v1:\n",
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" dict2[ys_name].setdefault(item1,0)\n",
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" dict2[ys_name][item1] += 1\n",
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" list1.append(dict2) \n",
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" \n",
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"dict_qz = {}\n",
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"for item in list1:\n",
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" for k, v in item.items():\n",
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" qz = sorted(v.items(), key = lambda kv:(kv[1], kv[0]),reverse=True)\n",
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" dict_qz[k] = qz\n",
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"#print(dict_qz)\n",
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"qz_key = dict_qz.keys()\n",
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"filename = 'data/药膳210927.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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"#print(dict1)\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet['A1'] = '药膳名称'\n",
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"sheet['B1'] = '来源'\n",
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"sheet['C1'] = '配方'\n",
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"sheet['D1'] = '做法'\n",
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"sheet['E1'] = '功效'\n",
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"sheet['F1'] = '中药成分'\n",
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"sheet['G1'] = '归经权重'\n",
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"\n",
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"i =2\n",
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"for item in dict1:\n",
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" sheet[f'A{i}'] = item['name']\n",
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" sheet[f'B{i}'] = item['source']\n",
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" sheet[f'C{i}'] = item['pf']\n",
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" sheet[f'D{i}'] = item['zf']\n",
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" sheet[f'E{i}'] = item['gx']\n",
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" sheet[f'F{i}'] = ','.join(item['zy'])\n",
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" if item['name'] in qz_key:\n",
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" s = ''\n",
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" for m_gj in dict_qz[item['name']]:\n",
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" s = s+ m_gj[0] +'('+str(m_gj[1])+')'\n",
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" sheet[f'G{i}'] = s\n",
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" else:\n",
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" sheet[f'G{i}'] = '暂无归经'\n",
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" i += 1\n",
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"\n",
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"wb.save('data/test4.xlsx') \n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 穴位数据导入"
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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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"metadata": {
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"tags": []
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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 re\n",
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"dict1 = {}\n",
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"filename = 'file/zhongyi/xuewei.json'\n",
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"with open(filename,'r',encoding='utf-8') as fl:\n",
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" for line in fl:\n",
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" line1 = json.loads(re.sub(r'\\xa0','',line))\n",
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" list1 = line1['tables']\n",
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" list2 = line1['contents']\n",
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" dict2 = dict(zip(list1, list2))\n",
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" #print(line1['title'],dict1)\n",
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" #print(dict1.keys())\n",
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" #print(line1)\n",
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" dict1.setdefault(line1['title'][0],{})\n",
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" dict1[line1['title'][0]]['简介'] = line1['jj'] \n",
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" dict1[line1['title'][0]]['内容'] = dict2\n",
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"filename = './file/穴位.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl) "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 穴位数据导出Excel表"
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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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"metadata": {
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"tags": []
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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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"\n",
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"filename = 'file/穴位.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 = 'file/穴位简要情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet['A1'] = '穴位名称'\n",
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"sheet['B1'] = '隶属'\n",
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"sheet['C1'] = '位置'\n",
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"sheet['D1'] = '主治'\n",
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"sheet['E1'] = '功能'\n",
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"sheet['F1'] = '操作'\n",
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"sheet['G1'] = '主要配伍'\n",
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"i = 2\n",
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"for k, v in dict1.items():\n",
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" sheet[f'A{i}'] = k\n",
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" sheet[f'B{i}'] = v['简介'][0].split(':')[1]\n",
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" sheet[f'C{i}'] = v['简介'][1].split(':')[1]\n",
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" sheet[f'D{i}'] = v['简介'][2].split(':')[1]\n",
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" sheet[f'E{i}'] = v['简介'][3].split(':')[1]\n",
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" sheet[f'F{i}'] = v['简介'][4].split(':')[1]\n",
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" sheet[f'G{i}'] = v['简介'][5].split(':')[1] \n",
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" i += 1\n",
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"wb.save(filename) \n",
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"print('ok!')\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 北海炼化体检数据提取"
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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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"metadata": {
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"tags": []
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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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"import os,sys,shutil\n",
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"\n",
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"file_name = 'file/中石化北海炼化2020年团体体检报告.xlsx'\n",
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"wb = openpyxl.load_workbook(file_name)\n",
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"sheet = wb.active\n",
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"dict1 = {}\n",
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"for n in range(1,sheet.max_row+1):\n",
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" bh = sheet.cell(n,2).value\n",
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" name = sheet.cell(n,3).value\n",
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" xb = sheet.cell(n,4).value\n",
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" nl = sheet.cell(n,5).value\n",
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" bz = sheet.cell(n,7).value\n",
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" dict1.setdefault(bh,{})\n",
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" dict1[bh]['姓名'] = name\n",
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" dict1[bh]['性别'] = xb\n",
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" dict1[bh]['年龄'] = nl\n",
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" dict1[bh].setdefault('病症',[])\n",
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" dict1[bh]['病症'].append(bz.strip())\n",
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"wb.close()\n",
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"#print(dict1)\n",
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" \n",
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" \n",
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"filename = 'file/中石化北海炼化2020年体检人员情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet['A1'] = '体检编号'\n",
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"sheet['B1'] = '姓名'\n",
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"sheet['C1'] = '性别'\n",
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"sheet['D1'] = '年龄'\n",
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"sheet['E1'] = '异常名称'\n",
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"\n",
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"i =2\n",
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"for k, v in dict1.items():\n",
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" sheet[f'A{i}'] = k\n",
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" sheet[f'B{i}'] = v['姓名']\n",
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" sheet[f'C{i}'] = v['性别']\n",
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" sheet[f'D{i}'] = v['年龄']\n",
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" sheet[f'E{i}'] = ','.join(v['病症']) \n",
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" i += 1\n",
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"\n",
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"wb.save(filename) \n",
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"\n",
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"\n",
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"\n",
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"\n"
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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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"metadata": {
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"tags": []
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},
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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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"import pymongo\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://512song:songyi@192.168.3.100:27017/tice')\n",
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"#dblist = myclient.list_database_names()\n",
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"mydb = myclient['tice']\n",
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" \n",
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"collist = mydb. list_collection_names()\n",
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"print(collist)"
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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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"metadata": {
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"tags": []
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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 pymongo\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://192.168.3.100:27017/')\n",
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"#dblist = myclient.list_database_names()\n",
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"mydb = myclient['tice']\n",
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" \n",
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"collist = mydb. list_collection_names()\n",
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"print(collist)"
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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": 78,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-24T11:15:33.859507Z",
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"iopub.status.busy": "2021-11-24T11:15:33.858508Z",
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"iopub.status.idle": "2021-11-24T11:15:33.864520Z",
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"shell.execute_reply": "2021-11-24T11:15:33.864520Z",
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"shell.execute_reply.started": "2021-11-24T11:15:33.859507Z"
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"list1 = []\n",
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"if not list1:\n",
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" print('true')"
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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