简历批量导入人才库
This commit is contained in:
parent
023ba9f856
commit
b5307ed0b6
@ -2704,8 +2704,8 @@ async def find_column_update(
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current_user: schemas.UserDB = Depends(deps.get_current_user)
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) -> schemas.Msg:
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""" 修改一条查询字段对照表数据 """
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data = await crud.api_find_column.update_columns(db, update_data, where={'column_type': column_type})
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return schemas.Msg(code=200, msg='ok', data=data)
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await crud.api_find_column.update_columns(db, update_data, where={'column_type': column_type})
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return schemas.Msg(code=200, msg='ok', data='')
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# 报表查询字段对照列表
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@ -2773,6 +2773,7 @@ async def currency_interview_form(
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}
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return schemas.Msg(code=200, msg='ok', data=res_data)
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# 通用入职人员分析报表
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@router.post("/currency_worker_form")
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async def currency_worker_form(
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@ -2822,6 +2823,7 @@ async def currency_worker_form(
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}
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return schemas.Msg(code=200, msg='ok', data=res_data)
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# 读取邮箱简历方法
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def email_user(dir_name, mail_dict):
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file_list = [] # 简历文件
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@ -30,7 +30,7 @@ from db import get_database
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from db.ckdb import get_ck_db, CKDrive
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from datetime import timedelta
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from models.interview_zsgc import InterviewDo
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from utils import get_time, qujian_time, Download_xlsx, send_str_mail, doc2pdf
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from utils import get_time, qujian_time, Download_xlsx, send_str_mail, doc2pdf, png2pdf
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router = APIRouter()
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@ -709,6 +709,258 @@ async def file_to_hw(
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return schemas.Msg(code=400, msg='上传华为云失败或者解析失败', data=None)
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# 批量导入简历
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@router.post("/files_to_hw")
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async def files_to_hw(
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request: Request,
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file_path: str,
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db: CKDrive = Depends(get_ck_db),
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current_user: schemas.UserDB = Depends(deps.get_current_user)
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) -> schemas.Msg:
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""" 批量导入简历 """
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insert_list = [] # 插入数据
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error_files = [] # 解析错误简历文件
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error_to_fw_files = [] # 上传失败简历文件
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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": datetime.now(),
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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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"now_address": "",
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"language": [],
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"remembrance": [],
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"file_url": '',
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"hr_manner": 2,
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}
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for file in os.listdir(file_path):
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try:
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fn = file_path + '/' + file
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end_str = file.split('.')[-1].lower() # 文件类型
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# 文件类型支持
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if end_str not in ['pdf', 'doc', 'docx', 'png', 'jpg', 'jpeg', 'word']:
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continue
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if end_str in ['doc', 'docx', 'word']: # doc,docx, word转pdf
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fn, fil = doc2pdf(fn, file_path, file)
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file = fil
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if end_str in ['png', 'jpg', 'jpeg']: # 图片转pdf
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fn, fil = png2pdf(file_path, file)
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file = fil
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data_mode1 = deepcopy(data_mode)
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uid = get_uid()
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data_mode1['uid'] = uid
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# 存数据
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chk_txt = getText_pdf(file_path + '/' + file)
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data = fmt_txt(chk_txt)
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education = data['education']
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# 学历int转化
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education_int = {
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'大专': 1,
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'本科': 2,
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'研究生': 3,
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'博士': 4,
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'硕士': 5,
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}
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if education and isinstance(education, str):
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data['education'] = education_int.get(education, 1)
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age = data['age']
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if not age:
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data['age'] = 20
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# 年龄int转化
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if age and isinstance(age, str):
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true_age = re.search(r"\d+\.?\d*", age)
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if len(true_age.group()) > 2:
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data['age'] = 20
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else:
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data['age'] = int(true_age.group())
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work_exp = data['work_exp']
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if not work_exp:
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data['work_exp'] = 0
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# 工作经验float转化
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if work_exp and isinstance(work_exp, str):
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true_work_exp = re.search(r"\d+\.?\d*", work_exp)
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if len(true_work_exp.group()) > 3:
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data['work_exp'] = 0
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else:
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data['work_exp'] = float(true_work_exp.group())
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data_mode1.update(data)
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# 转json字符串
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if 'remembrance_list' in data_mode1:
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remembrance = data_mode1.pop('remembrance_list')
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data_mode1['remembrance'] = remembrance
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if 'language_list' in data_mode1:
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language = data_mode1.pop('language_list')
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data_mode1['language'] = language
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if 'project_undergo' in data_mode1:
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if data_mode1.get('project_undergo', []):
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data_mode1['project_undergo'] = [json.dumps(i) for i in data_mode1['project_undergo']]
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else:
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data_mode1['project_undergo'] = []
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if 'work_list' in data_mode1:
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if data_mode1.get('work_list', []):
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data_mode1['work_list'] = [json.dumps(i) for i in data_mode1['work_list']]
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else:
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data_mode1['work_list'] = []
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if 'language' in data_mode1:
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if data_mode1.get('language', []):
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data_mode1['language'] = [json.dumps(i) for i in data_mode1['language']]
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else:
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data_mode1['language'] = []
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if 'remembrance' in data_mode1:
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if data_mode1.get('remembrance', []):
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data_mode1['remembrance'] = [json.dumps(i) for i in data_mode1['remembrance']]
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else:
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data_mode1['remembrance'] = []
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# 字符串转datetime
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if data_mode1.get('in_time', ''):
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chk_in_time = data_mode1['in_time'].replace('-', '/').replace('.', '/')
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if len(chk_in_time.split('/')) == 2:
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data_mode1['in_time'] = str(datetime.strptime(chk_in_time, "%Y/%m").date())
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if len(chk_in_time.split('/')) == 3:
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data_mode1['in_time'] = str(datetime.strptime(chk_in_time, "%Y/%m/%d").date())
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if data_mode1.get('out_time', ''):
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chk_out_time = data_mode1['out_time'].replace('-', '/').replace('.', '/')
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if len(chk_out_time.split('/')) == 2:
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data_mode1['out_time'] = str(datetime.strptime(chk_out_time, "%Y/%m").date())
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if len(chk_out_time.split('/')) == 3:
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data_mode1['out_time'] = str(datetime.strptime(chk_out_time, "%Y/%m/%d").date())
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if data_mode1.get('birthday', ''):
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chk_birthday = data_mode1['birthday'].replace('-', '/').replace('.', '/')
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if len(chk_birthday.split('/')) == 2:
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data_mode1['birthday'] = str(datetime.strptime(chk_birthday, "%Y/%m").date())
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if len(chk_birthday.split('/')) == 3:
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data_mode1['birthday'] = str(datetime.strptime(chk_birthday, "%Y/%m/%d").date())
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if data_mode1.get('star_time', ''):
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chk_star_time = data_mode1['star_time'].replace('-', '/').replace('.', '/')
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if len(chk_star_time.split('/')) == 2:
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data_mode1['star_time'] = str(datetime.strptime(chk_star_time, "%Y/%m").date())
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if len(chk_star_time.split('/')) == 3:
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data_mode1['star_time'] = str(datetime.strptime(chk_star_time, "%Y/%m/%d").date())
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if data_mode1.get('end_time', ''):
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chk_end_time = data_mode1['end_time'].replace('-', '/').replace('.', '/')
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if len(chk_end_time.split('/')) == 2:
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data_mode1['end_time'] = str(datetime.strptime(chk_end_time, "%Y/%m").date())
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if len(chk_end_time.split('/')) == 3:
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data_mode1['end_time'] = str(datetime.strptime(chk_end_time, "%Y/%m/%d").date())
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if data_mode1.get('graduate_time', ''):
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chk_graduate = data_mode1['graduate_time'].replace('-', '/').replace('.', '/')
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if len(chk_graduate.split('/')) == 2:
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data_mode1['graduate_time'] = str(datetime.strptime(chk_graduate, "%Y/%m").date())
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if len(chk_graduate.split('/')) == 3:
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data_mode1['graduate_time'] = str(datetime.strptime(chk_graduate, "%Y/%m/%d").date())
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# 简历查重,姓名,手机号,性别name,phone,gender
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find_name = data['name']
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find_phone = data['phone']
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find_gender = data['gender']
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where = {}
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if find_name:
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where.update({
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'name': find_name
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})
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if find_phone:
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where.update({
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'phone': find_phone
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})
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if find_gender:
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where.update({
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'gender': find_gender
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})
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whereStr = ''
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for key, value in where.items():
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if isinstance(value, str):
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if not value.strip():
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continue
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if whereStr:
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whereStr += 'and ' + str(key) + ' = ' + "'" + value + "'" + ' '
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else:
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whereStr += str(key) + ' = ' + "'" + value + "'" + ' '
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continue
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if whereStr:
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whereStr += 'and ' + str(key) + ' = ' + str(value) + ' '
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else:
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whereStr += str(key) + ' = ' + str(value) + ' '
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whereStr = whereStr.strip()
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sql = f"select uid from HR.resumes where {whereStr}"
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is_in_data = await db.execute(sql)
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exist = 0
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if is_in_data:
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exist = 1
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uid = list(is_in_data.values())[0]['uid']
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# os.rename(path_data + '/' + filename, path_data + '/' + find_phone + '.pdf')
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res = obsClient.putFile('legu-cdn-source', 'hrms/' + uid + '.pdf', fn)
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if res.status < 300:
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# 地址
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url = res.body.objectUrl
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data_mode1['file_url'] = url
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data['file_url'] = url
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if exist:
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continue
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insert_list.append(data_mode1)
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else:
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error_to_fw_files.append(file)
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continue
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except:
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error_files.append(file)
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continue
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sql = f"insert into HR.resumes(interview_name, interview_type, interview_sign, hope_money, feedback," \
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f" interview_round, event_time, uid, name, phone, job_name, hr_name, work_exp, interview_stage, owner_name," \
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f" education, work_undergo, project_undergo, work_list, school, at_school, specialty, specialty_do, " \
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f"mmended_state, mail, account, id_card, gender, age, gam, interview_state, counts, nation, come_time," \
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f" review, upgrade, now_money, men_state, teacher_state, teacher_back, offer_state, offer_exam_state," \
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f" notice_state, pass_why, pass_text, now_address,language,remembrance, file_url, hr_manner) values"
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await db.execute_dict(sql, insert_list)
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return schemas.Msg(code=0, msg='ok', data='')
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# 导入面试数据
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@router.post("/interview_file_insert")
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async def interview_file_insert(
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@ -1095,7 +1347,7 @@ async def resume_affix(
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# 地址
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url = res.body.objectUrl
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resData = {'file_url': url, 'filename': 'hrms/accessory/' + filename}
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res=json.dumps(resData)
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res = json.dumps(resData)
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# sql = f"""
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# ALTER table HR.resumes update resume_affix_id = {url} WHERE uid = '{data_in.uid}'
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# """
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@ -2118,8 +2370,8 @@ async def add_interviewee(
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# 同步发送邮件通知被安排了面试
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find_sql = f"""select job_names,name from HR.resumes where uid = '{data_in.uid}' limit 1"""
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df = await ckdb.query_dataframe(find_sql)
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interview_names='，'.join(name_list)
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hr_names='，'.join(hr_list)
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interview_names = '，'.join(name_list)
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hr_names = '，'.join(hr_list)
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send = f"""【面试通知】\n面试岗位：{df['job_names'][0]}\n面试时间：{data_in.star_time}\n面试者：{df['name'][0]}\nHR：{hr_names}\n面试官：{interview_names}"""
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hr_user = data_in.hr_user
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hr_user.extend(data_in.user_id)
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@ -2147,18 +2399,18 @@ async def add_interviewee(
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'type': 'interview' # 记录的类型
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})
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# 创建空白的面试反馈到mdb数据库
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survey={}
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for us in [name,hr]:
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survey = {}
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for us in [name, hr]:
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for i in us:
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survey[i['user_id']]={
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survey[i['user_id']] = {
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"name": i['nickname'],
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"voice": 0,
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"thought": 0,
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"diathesis": 0,
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"evaluate": "",
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"teacher_back": 0,
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'type':False}
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await crud.feedback.ins_feedback(db,schemas.Feedback(uid=data_in.uid,survey=survey))
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'type': False}
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await crud.feedback.ins_feedback(db, schemas.Feedback(uid=data_in.uid, survey=survey))
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return schemas.Msg(code=200, msg='ok', data='')
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@ -2312,9 +2564,6 @@ async def interview_find(
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return schemas.Msg(code=200, msg='ok', data=res_data)
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@router.post("/interview")
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async def interview(
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request: Request,
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@ -2428,6 +2677,7 @@ async def interviews(
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return schemas.Msg(code=200, msg='ok', data=datas)
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@router.post("/interview_teacher")
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async def interview_teacher(
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request: Request,
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@ -2455,13 +2705,13 @@ async def interview_teacher(
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) -> schemas.Msg:
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""" 修改面试反馈 """
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data = await crud.feedback.one_feedback(db, {'uid': data_in.uid})
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for k,v in data['survey'].items():
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for k, v in data['survey'].items():
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if k == list(data_in.survey.keys())[0]:
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data['survey'][k]=data_in.survey[k]
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data['survey'][k]['type']=True
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data['survey'][k] = data_in.survey[k]
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data['survey'][k]['type'] = True
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await crud.feedback.up_feedback(db, schemas.Feedback(uid=data_in.uid,survey=data['survey']))
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a=1
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await crud.feedback.up_feedback(db, schemas.Feedback(uid=data_in.uid, survey=data['survey']))
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a = 1
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# user_list=list(data_in.survey.keys())
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# sql = f"""select hr_id,interview_id from HR.resumes WHERE uid = '{data_in.uid}' limit 1"""
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# res=await ckdb.query_dataframe(sql)
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@ -2484,7 +2734,7 @@ async def interview_teacher(
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current_user: schemas.UserDB = Depends(deps.get_current_user)
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) -> schemas.Msg:
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""" 获取面试反馈 """
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data=await crud.feedback.one_feedback(db,{'uid':data_in.uid})
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data = await crud.feedback.one_feedback(db, {'uid': data_in.uid})
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return schemas.Msg(code=200, msg='ok', data=data)
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@ -2503,4 +2753,3 @@ async def hint(
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res.append(i)
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data = sorted(res, key=operator.itemgetter('times'))
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return schemas.Msg(code=200, msg='ok', data=data)
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@ -1,6 +1,6 @@
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#!/usr/bin/python
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# coding:utf-8
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import os
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import random
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import time
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import datetime
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@ -9,14 +9,13 @@ import pandas as pd
|
||||
import smtplib
|
||||
from email.mime.text import MIMEText
|
||||
from email.utils import formataddr
|
||||
|
||||
from fitz import fitz
|
||||
from datetime import timedelta
|
||||
from datetime import datetime as p1
|
||||
import calendar
|
||||
from core.config import Settings
|
||||
|
||||
|
||||
|
||||
def get_uid():
|
||||
return hex(int(time.time() * 10 ** 7) + random.randint(0, 10000))[2:]
|
||||
|
||||
@ -349,13 +348,33 @@ def doc2pdf(fn, path_data, filename):
|
||||
# :param filename:陈超峰.docx
|
||||
# :return: 'C:\Users\86173\Desktop\陈超峰.pdf'
|
||||
# """
|
||||
new_filename=filename.split('.')[0]
|
||||
new_filename = filename.split('.')[0]
|
||||
word = client.Dispatch("Word.Application") # 打开word应用程序
|
||||
doc = word.Documents.Open(fn) # 打开word文件
|
||||
doc.SaveAs("{}/{}.pdf".format(path_data, new_filename), 17) # 另存为后缀为".pdf"的文件，其中参数17表示为pdf
|
||||
doc.Close() # 关闭原来word文件
|
||||
word.Quit()
|
||||
return path_data + '/' + new_filename + '.pdf',new_filename + '.pdf'
|
||||
return path_data + '/' + new_filename + '.pdf', new_filename + '.pdf'
|
||||
|
||||
|
||||
# 图片转pdf
|
||||
def png2pdf(dir_path, filename):
|
||||
"""
|
||||
:param dir_path: 图片所在目录路径
|
||||
:param filename: 图片文件名
|
||||
:return: 转化成的dpf的绝对路径
|
||||
"""
|
||||
img_path = dir_path + '/' + filename
|
||||
img_type = filename.split('.')[-1]
|
||||
new_filename = os.path.basename(img_path).replace(img_type, 'pdf')
|
||||
doc = fitz.open()
|
||||
img_doc = fitz.open(img_path)
|
||||
pdf_bytes = img_doc.convert_to_pdf()
|
||||
img_pdf = fitz.open('pdf', pdf_bytes)
|
||||
doc.insert_pdf(img_pdf)
|
||||
res_path = dir_path + '/' + new_filename
|
||||
doc.save(res_path)
|
||||
return res_path, new_filename
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
Loading…
Reference in New Issue
Block a user