719 lines
24 KiB
Python
719 lines
24 KiB
Python
import re
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import docx
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import os
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import copy
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from pprint import pprint
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from paddlenlp import Taskflow
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import pdfplumber
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from win32com import client as wc
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from pdf2docx import Converter
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# 文件路径
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schema = ['姓名', '所在地', '户口所在地', '籍贯', '婚姻状况', '民族', '电话', 'tel', '应聘职位', '到岗时间', '学历', '毕业学校', '专业', '期望薪资',
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'在校时间', '电子邮箱', '工作经验', 'Email', '性别', '年龄', '身份证号', '技能特长', '生日', '现住址'
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]
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schema_dict = {'姓名': 'name', '所在地': 'account', '户口所在地': 'accounts', '婚姻状况': 'gam', '民族': 'nation', '生日': 'birthday',
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'电话': 'phone', '应聘职位': 'job_name', '到岗时间': 'come_time', '学历': 'education', '毕业学校': 'school',
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'专业': 'specialty', '期望薪资': 'hope_money', '在校时间': 'at_school', '电子邮箱': 'mail', '工作经验': 'work_exp',
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'Email': 'mails', '性别': 'gender', '年龄': 'age', '籍贯': 'account', 'tel': 'tels', '身份证号': 'id_card',
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'技能特长': 'specialty_do', '现住址': 'now_address'}
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# 简历初始文档
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data_mode = {
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"interview_name": "",
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"interview_type": 1,
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"interview_sign": 0,
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"hope_money": "",
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"feedback": 0,
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"interview_round": 0,
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"event_time": "",
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"name": "",
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"phone": "",
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"job_name": "",
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"hr_name": "",
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"work_exp": 0,
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"interview_stage": 1,
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"owner_name": 2,
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"education": 1,
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"work_undergo": [],
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"project_undergo": [],
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"work_list": [],
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"school": "",
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"at_school": "",
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"specialty": "",
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"specialty_do": [],
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"mmended_state": 0,
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"mail": "",
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"account": "",
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"id_card": "",
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"gender": "",
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"age": 0,
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"gam": "",
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"interview_state": 1,
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"counts": 1,
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"nation": "汉",
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"review": [],
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"upgrade": [],
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"come_time": "",
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"now_money": "",
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"men_state": 1,
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"teacher_state": 1,
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"teacher_back": 1,
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"offer_state": 1,
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"offer_exam_state": 1,
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"notice_state": 1,
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"pass_why": 0,
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"pass_text": "",
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"file_url": '',
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"now_address": '',
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"birthday": '',
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}
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def chkworlkandtime(listdata):
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"""
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获取工作经历中任职的公司名称和对应的在岗时间
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:param dictdata:
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:return:返回列表格式
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"""
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res = {}
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for i in listdata:
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for key, datalist in i.items():
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trueDict = {}
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for data in datalist:
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if data['text'] in trueDict:
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if data['probability'] <= trueDict[data['text']]['probability']:
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continue
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trueDict.update({
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data['text']: {
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'end': data['end'],
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'probability': data['probability'],
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'start': data['start'],
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}
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})
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trueList = []
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for key1, value1 in trueDict.items():
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value1.update({
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'text': key1
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})
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trueDict1 = copy.deepcopy(value1)
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trueList.append(trueDict1)
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trueList.sort(key=lambda item: item['start'])
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res.update({key: trueList})
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ress = []
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if res != {}:
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print(res)
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for i in range(len(res['公司名'])):
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company_name = ''
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position_name = ''
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duty = ''
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if '公司名' in res:
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if len(res['公司名']) >= i + 1:
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company_name = res['公司名'][i]['text']
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else:
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company_name = ''
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if '职责' in res:
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if len(res['职责']) >= i + 1:
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position_name = res['职责'][i]['text']
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else:
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position_name = ''
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if '工作内容' in res:
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if len(res['工作内容']) >= i + 1:
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duty = res['工作内容'][i]['text']
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else:
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duty = ''
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if '岗位' in res:
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if len(res['岗位']) >= i + 1:
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duty = res['岗位'][i]['text']
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else:
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duty = ''
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date = {
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'company_name': company_name,
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'position_name': position_name,
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'duty': duty
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}
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ress.append(str(date))
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return ress
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def chkworlkandtime1(listdata):
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"""
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获取语言能力中语言类型和掌握程度,听说,读写
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:param dictdata:
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:return:返回列表格式
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"""
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res = {}
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for i in listdata:
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for key, datalist in i.items():
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trueDict = {}
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for data in datalist:
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if data['text'] in trueDict:
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if data['probability'] <= trueDict[data['text']]['probability']:
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continue
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trueDict.update({
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data['text']: {
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'end': data['end'],
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'probability': data['probability'],
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'start': data['start'],
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}
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})
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trueList = []
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for key1, value1 in trueDict.items():
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value1.update({
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'text': key1
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})
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trueDict1 = copy.deepcopy(value1)
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trueList.append(trueDict1)
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trueList.sort(key=lambda item: item['start'])
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res.update({key: trueList})
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ress = []
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if res != {}:
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for i in range(len(res['语言'])):
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language_name = ''
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has_sleep = ''
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reading = ''
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writing = ''
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if '语言' in res:
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language_name = res['语言'][i]['text']
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if '掌握程度' in res:
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has_sleep = res['掌握程度'][i]['text']
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if '听说' in res:
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reading = res['听说'][i]['text']
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if '读写' in res:
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writing = res['读写'][i]['text']
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date = {
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'language_name ': language_name,
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'has_sleep ': has_sleep,
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'reading': reading,
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'writing': writing
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}
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ress.append(str(date))
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return ress
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def chkworlkandtime2(listdata):
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"""
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获取获奖经历中奖项名称和获奖时间
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:param dictdata:
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:return:返回列表格式
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"""
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res = {}
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for i in listdata:
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for key, datalist in i.items():
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trueDict = {}
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for data in datalist:
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if data['text'] in trueDict:
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if data['probability'] <= trueDict[data['text']]['probability']:
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continue
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trueDict.update({
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data['text']: {
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'end': data['end'],
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'probability': data['probability'],
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'start': data['start'],
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}
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})
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trueList = []
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for key1, value1 in trueDict.items():
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value1.update({
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'text': key1
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})
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trueDict1 = copy.deepcopy(value1)
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trueList.append(trueDict1)
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trueList.sort(key=lambda item: item['start'])
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res.update({key: trueList})
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ress = []
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if res != {}:
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for i in range(len(res['奖项名'])):
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prize_name = ''
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prize_time = ''
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if '奖项名' in res:
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prize_name = res['公司名'][i]['text']
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if '时间' in res:
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prize_time = res['时间'][i]['text']
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date = {
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'prize_name ': prize_name,
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'prize_time': prize_time,
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}
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ress.append(str(date))
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return ress
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def getText_docx(filename): # docx 转text
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"""将docx读成text"""
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doc = docx.Document(filename)
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fullText = []
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for i in doc.paragraphs: # 迭代docx文档里面的每一个段落
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fullText.append(i.text) # 保存每一个段落的文本
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numTables = doc.tables # 如果有表格的内容存放在这
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if len(numTables) > 0:
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for table in numTables:
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row_count = len(table.rows)
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col_count = len(table.columns)
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for i in range(row_count):
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for j in range(col_count):
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fullText.append(table.cell(i, j).text)
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return '\n'.join(fullText)
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def pdf_docx(url, filename):
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"""
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将pdf文件转为docx文件
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:param url:
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:param filename:
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:return:
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"""
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# 获取文件名称
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file_name = filename.split('.')[0]
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# pdf文件名称
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pdf_name = url + f"/{filename}"
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# docx文件名称
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docx_name = url + f"/{file_name}.docx"
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# 加载pdf文档
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cv = Converter(pdf_name)
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cv.convert(docx_name, start=0, end=None)
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cv.close()
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# comand = f'$ pdf2docx convert {pdf_name} {docx_name}'
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# os.system(comand)
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def getText_pdf(filename):
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"""将pdf读成text"""
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with pdfplumber.open(filename) as pdf_file:
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content = ''
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for i in range(len(pdf_file.pages)):
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page_text = pdf_file.pages[i]
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page_content = page_text.extract_text()
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if page_content:
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content = content + page_content + "\n"
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return content
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def doc_docx(url, filename):
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"""
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将doc文件转为docx文件
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:param filename:
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:return:
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"""
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word = wc.Dispatch("Word.Application")
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doc = word.Documents.Open(url + f"/{filename}")
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name = filename.split('.')[0]
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doc.SaveAs(url + f'/{name}.docx', 12) # 12为docx
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doc.Close()
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word.Quit()
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def clash(date, retain, pop):
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"""
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解决词性搜索时，最后的结果只取有值的一个
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例如'户口所在地','籍贯'只取默认的籍贯返回，（户口所在地有值把值给籍贯）
|
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:param date: 原数据
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||
:param retain: 要固定返回给前端的数据 户口所在地
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:param pop: 要删除的那个字段 籍贯
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||
:return:
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||
"""
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||
if date[retain] != '':
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date.pop(pop)
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else:
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date[retain] = date[pop]
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date.pop(pop)
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def get_date(schema, dates, schema_dict):
|
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"""
|
||
把第三方获取的数据筛选出想要的基本信息
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||
:param schema:中文的词性标注
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:param dates:原数据
|
||
:param schema_dict:对应中文的英文
|
||
:return: 返回取出概率最大的基本信息数据
|
||
"""
|
||
date = data_mode
|
||
for i in schema:
|
||
text = dates[0].get(i, '')
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||
# 如果数据中没有搜到对应的键，返回空字符串
|
||
if text == '':
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date[schema_dict[i]] = text
|
||
else:
|
||
if len(text) == 1:
|
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date[schema_dict[i]] = text[0]['text']
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else:
|
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aa = {}
|
||
num = []
|
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for dic in text:
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aa[dic['probability']] = dic['text']
|
||
num.append(dic['probability'])
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# 取出概率最大的值
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||
date[schema_dict[i]] = aa[max(num)]
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# 解决邮箱冲突的问题
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||
clash(date, 'mail', 'mails')
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# 解决户口所在地冲突的问题
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clash(date, 'account', 'accounts')
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# 解决电话冲突的问题
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clash(date, 'phone', 'tels')
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work_exp = date['work_exp']
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if not work_exp:
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work_exp = 0
|
||
# 工作经验float转化
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||
if work_exp and isinstance(work_exp, str):
|
||
true_work_exp = re.search(r"\d+\.?\d*", work_exp)
|
||
if len(true_work_exp.group()) > 3:
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||
work_exp = 0
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||
else:
|
||
work_exp = float(true_work_exp.group())
|
||
if work_exp <= 0:
|
||
date['work_exp'] = 0
|
||
if 1 <= work_exp < 3:
|
||
date['work_exp'] = 1
|
||
if 3 <= work_exp < 5:
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date['work_exp'] = 2
|
||
if work_exp >= 5:
|
||
date['work_exp'] = 3
|
||
return date
|
||
|
||
|
||
def fmtTxt(txt, istable=0):
|
||
# 所有关键字
|
||
chkStr = ['自我评价', '自我描述', '个人优势', '项目经历', '项目经验', '项目描述', '教育经历', '学习经历', '工作经历', '工作经验', '实习经历',
|
||
'技能特长', '技能', '特长', '专长', '技能专长', '专业技能', '职业技能', '个人评价', '语言', '获奖', '证书', '获奖记录', '获奖经历']
|
||
# 自我描述
|
||
chkList1 = ['自我评价', '自我描述', '个人优势', '个人评价']
|
||
# 项目经验
|
||
chkList2 = ['项目经历', '项目经验', '项目描述']
|
||
# 教育背景
|
||
chkList3 = ['教育经历', '学习经历']
|
||
# 工作经历
|
||
chkList4 = ['工作经历', '工作经验', '实习经历']
|
||
# 个人技能
|
||
chkList5 = ['技能特长', '技能', '特长', '专长', '技能专长', '专业技能', '职业技能']
|
||
# 语言能力
|
||
chkList6 = ['语言']
|
||
# 获奖经历
|
||
chkList7 = ['获奖', '证书', '获奖记录', '获奖经历']
|
||
fmtList = [] # 返回拼接好的字符串列表
|
||
trueIndex = 0
|
||
fmtStr = ''
|
||
nowChkList = []
|
||
# 判断while循环是否需要停止
|
||
stop_int = 0
|
||
for index, i in enumerate(txt):
|
||
if istable:
|
||
text = i
|
||
else:
|
||
text = i.text
|
||
# text = re.sub('\s+', '', text).lstrip() # 字符串去除空格和换行符
|
||
|
||
# 没有检测出关键字
|
||
if not fmtStr:
|
||
# 自我描述
|
||
for i in chkList1:
|
||
# 判断是不是以关键字开头
|
||
if not text.startswith(i, 0):
|
||
continue
|
||
else:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList1]
|
||
# 检测出关键字证明需要继续循环
|
||
stop_int = 1
|
||
break
|
||
if fmtStr:
|
||
continue
|
||
# 项目经验
|
||
for i in chkList2:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList2]
|
||
stop_int = 1
|
||
break
|
||
if fmtStr:
|
||
continue
|
||
# 教育背景
|
||
for i in chkList3:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList3]
|
||
stop_int = 1
|
||
break
|
||
if fmtStr:
|
||
continue
|
||
# 工作经历
|
||
for i in chkList4:
|
||
# 判断是不是以关键字开头
|
||
if not text.startswith(i, 0):
|
||
continue
|
||
else:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList4]
|
||
stop_int = 1
|
||
break
|
||
if fmtStr:
|
||
continue
|
||
# 个人技能
|
||
for i in chkList5:
|
||
# 判断是不是以关键字开头
|
||
if not text.startswith(i, 0):
|
||
continue
|
||
else:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList5]
|
||
stop_int = 1
|
||
break
|
||
if fmtStr:
|
||
continue
|
||
# 语言能力
|
||
for i in chkList6:
|
||
# 判断是不是以关键字开头
|
||
if not text.startswith(i, 0):
|
||
continue
|
||
else:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList6]
|
||
stop_int = 1
|
||
break
|
||
if fmtStr:
|
||
continue
|
||
# 获奖经历
|
||
for i in chkList7:
|
||
if i in text:
|
||
fmtStr = text
|
||
nowChkList = [chk for chk in chkStr if chk not in chkList7]
|
||
stop_int = 1
|
||
break
|
||
continue
|
||
else:
|
||
isTure = 1
|
||
for i in nowChkList:
|
||
if i in text:
|
||
isTure = 0
|
||
break
|
||
if isTure:
|
||
fmtStr += text
|
||
continue
|
||
else:
|
||
fmtStrTrue = fmtStr
|
||
fmtList.append(fmtStrTrue)
|
||
trueIndex = index
|
||
# fmtStr = ''
|
||
# nowChkList = []
|
||
# 剩余没有检索的部分
|
||
txt1 = txt[trueIndex:]
|
||
return fmtList, txt1, stop_int
|
||
|
||
# 当列表全部检索完毕需要停止循环
|
||
if fmtStr:
|
||
fmtStrTrue = fmtStr
|
||
fmtList.append(fmtStrTrue)
|
||
stop_int = 0
|
||
txt1 = txt[trueIndex:]
|
||
return fmtList, txt1, stop_int
|
||
|
||
|
||
def fmtList(txtlist, dates):
|
||
chkList1 = ['自我评价', '自我描述', '个人优势']
|
||
chkList2 = ['项目经历', '项目经验', '项目描述']
|
||
chkList3 = ['教育经历', '学习经历']
|
||
chkList4 = ['工作经历', '工作经验', '实习经历']
|
||
chkList5 = ['技能特长', '技能', '特长', '专长', '技能专长', '专业技能', '职业技能']
|
||
chkList6 = ['语言']
|
||
chkList7 = ['获奖', '证书', '获奖记录', '获奖经历']
|
||
# 自我评价
|
||
review = []
|
||
# 项目经验
|
||
project = []
|
||
# 工作经验
|
||
work = []
|
||
# 教育经验
|
||
upgrade = []
|
||
# 技能特长
|
||
specialty = []
|
||
# 语言能力
|
||
language = []
|
||
# 获奖经历
|
||
remembrance = []
|
||
for text in txtlist:
|
||
ischk = 0
|
||
# 自我评价
|
||
for i in chkList1:
|
||
if i in text:
|
||
review.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 项目经验
|
||
for i in chkList2:
|
||
if i in text:
|
||
project.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 工作经验
|
||
for i in chkList4:
|
||
if i in text:
|
||
work.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 教育经历
|
||
for i in chkList3:
|
||
if i in text:
|
||
upgrade.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 自我评价
|
||
for i in chkList5:
|
||
if i in text:
|
||
specialty.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 语言能力
|
||
for i in chkList6:
|
||
if i in text:
|
||
language.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 获奖经历
|
||
for i in chkList7:
|
||
if i in text:
|
||
remembrance.append(text)
|
||
ischk = 1
|
||
break
|
||
if ischk:
|
||
continue
|
||
# 取出工作经验里面的公司名和时间
|
||
if len(work) > 0:
|
||
works = ''
|
||
for i in work:
|
||
works += i
|
||
schema = ['公司名', '职责', '工作内容', '岗位']
|
||
ie = Taskflow('information_extraction', schema=schema)
|
||
text_lists = ie(works)
|
||
work_list = chkworlkandtime(text_lists)
|
||
if not work_list:
|
||
work_list = ["{'company_name': '测试公司','position_name': '测试职位','duty': '测试职责'}"]
|
||
else:
|
||
work_list = ["{'company_name': '测试公司','position_name': '测试职位','duty': '测试职责'}"]
|
||
# 取出获奖经历里面的公司名和时间
|
||
if len(remembrance) > 0:
|
||
remembrances = ''
|
||
for i in remembrance:
|
||
remembrances += i
|
||
schema = ['奖项名', '时间']
|
||
ie = Taskflow('information_extraction', schema=schema)
|
||
text_lists = ie(remembrances)
|
||
remembrance_list = chkworlkandtime2(text_lists)
|
||
if not remembrance_list:
|
||
remembrance_list = ["{'prize_name': '测试奖项', 'prize_time': '2022-08-26'}"]
|
||
else:
|
||
remembrance_list = ["{'prize_name': '测试奖项', 'prize_time': '2022-08-26'}"]
|
||
# 取出语言能力里面的语言,掌握程度,听说,读写
|
||
if len(language) > 0:
|
||
works = ''
|
||
for i in work:
|
||
works += i
|
||
schema = ['语言', '掌握程度', '听说', '读写']
|
||
ie = Taskflow('information_extraction', schema=schema)
|
||
text_lists = ie(works)
|
||
language_list = chkworlkandtime1(text_lists)
|
||
if not language_list:
|
||
language_list = ["{'language_name': '测试语言', 'has_sleep': '好', 'reading': '听说', 'writing': '读写'}"]
|
||
else:
|
||
language_list = ["{'language_name': '测试语言', 'has_sleep': '好', 'reading': '听说', 'writing': '读写'}"]
|
||
# review自我评价, project项目经验，work工作经验，work具体工作的公司和时间，upgrade教育经历，specialty技能特长
|
||
dates.update({
|
||
'review': review,
|
||
'project_undergo': project,
|
||
'work_undergo': work,
|
||
'work_list': work_list,
|
||
'upgrade': upgrade,
|
||
'specialty_do': specialty,
|
||
'language': language_list,
|
||
'remembrance': remembrance_list,
|
||
})
|
||
|
||
return dates
|
||
|
||
|
||
def get_resume(file, path_data):
|
||
url = path_data + f"/{file}"
|
||
if os.path.splitext(file)[1] == '.pdf':
|
||
pdf_docx(path_data, file) # 转为docx
|
||
name = file.split('.')[0]
|
||
open_txt = docx.Document(path_data + f"/{name}.docx") # 打开docx
|
||
os.remove(path_data + f"/{name}.docx") # 删除生成的文件
|
||
txt = getText_pdf(url) # 打开pdf格式文件转txt
|
||
# txt = getText_docx(PATH_DATA + f"\{name}.docx")
|
||
elif os.path.splitext(file)[1] == '.docx':
|
||
open_txt = docx.Document(url) # 打开docx，将用来读取每一段的内容
|
||
txt = getText_docx(url) # 打开docx格式文件转txt
|
||
elif os.path.splitext(file)[1] == '.doc':
|
||
doc_docx(path_data, file) # 转为docx
|
||
name = file.split('.')[0]
|
||
open_txt = docx.Document(path_data + f"/{name}.docx") # 打开docx
|
||
txt = getText_docx(path_data + f"/{name}.docx") # 打开docx格式文件转txt
|
||
os.remove(path_data + f"/{name}.docx") # 删除生成的文件
|
||
ie = Taskflow('information_extraction', schema=schema) # 花费时间会安装文件
|
||
# pprint(ie(txt)) # 姓名，电话，电子邮箱，民族，毕业院校，专业，工作经验，婚姻状况
|
||
# 获取的基础数据
|
||
text_lists = ie(txt)
|
||
# 处理后的基本数据
|
||
dates = get_date(schema, text_lists, schema_dict)
|
||
# 打开docx获取的每一段数据
|
||
txt_list = open_txt.paragraphs
|
||
# 获取的文档内容
|
||
txt_list1 = []
|
||
stop_int = 1
|
||
txt1 = txt_list
|
||
while stop_int:
|
||
txt_list2, txt1, stop_int = fmtTxt(txt1)
|
||
txt_list1 += txt_list2
|
||
# print(txt_list1)
|
||
numTables = open_txt.tables # 获取表格里面的内容
|
||
table_list = []
|
||
if len(numTables) > 0:
|
||
for table in numTables:
|
||
row_count = len(table.rows)
|
||
col_count = len(table.columns)
|
||
for i in range(row_count):
|
||
for j in range(col_count):
|
||
texts = table.cell(i, j).text
|
||
# texts = re.sub('\s+', '', texts).lstrip() # 字符串去除空格和换行符
|
||
if not texts:
|
||
continue
|
||
if texts in table_list:
|
||
continue
|
||
table_list.append(texts)
|
||
if table_list:
|
||
stop_table = 1
|
||
table1 = table_list
|
||
while stop_table:
|
||
table_list2, table1, stop_table = fmtTxt(table1, istable=1)
|
||
txt_list1 += table_list2
|
||
# print(txt_list1)
|
||
# review自我评价,project项目经验，work工作经验，upgrade教育经历，specialty技能特长
|
||
# 把两部分的数据合起来返回前端,数据都在dates中
|
||
fmtList(txt_list1, dates)
|
||
# pprint(dates)
|
||
a = 1
|
||
|
||
return dates
|
||
|
||
|
||
if __name__ == '__main__':
|
||
path_data = "D:\wokerplay\面试简历1"
|
||
for _, _, files in os.walk(path_data):
|
||
for file in files:
|
||
print(get_resume(file, path_data))
|