导入候选人

api/api_v1/endpoints/interview.py

@@ -2,16 +2,17 @@ import datetime
 import mimetypes
 from collections import defaultdict
 import time
+import os
 from urllib.parse import quote
 import re
 from clickhouse_driver import Client
 import pandas as pd
 import numpy as np
-from fastapi import APIRouter, Depends, Request
+from fastapi import APIRouter, Depends, Request, File, UploadFile
 from motor.motor_asyncio import AsyncIOMotorDatabase
 from pandas import DataFrame
 from starlette.responses import StreamingResponse
-
+from  utils.jianli import get_resume
 import crud, schemas
 from common import *
 
@@ -79,6 +80,33 @@ async def interview_insert(
     return schemas.Msg(code=200, msg='ok', data=data)
 
 
+# 写入面试数据
+@router.post("/interview_file_insert")
+async def interview_insert(
+        request: Request,
+        file: UploadFile = File(...),
+        db: CKDrive = Depends(get_ck_db),
+) -> schemas.Msg:
+    """ interview面试数据写入 """
+    path_data = os.getcwd() + '/jianli'  # 当前文件所在的目录
+    contents = await file.read()
+    filename = file.filename
+    try:
+        with open(path_data + filename, "wb") as f:
+            #  将获取的file文件内容，写入到新文件中
+            f.write(contents)
+            f.close()
+    except:
+        return schemas.Msg(code=400, msg='上传文件有误', data=None)
+    insert_data = get_resume(filename, path_data)
+    sql = f"insert into HR.resumes(interview_name, interview_type, interview_sign, feedback, interview_round, star_time, end_time, event_time, uid, name, phone, job_name, hr_name, work_exp, interview_stage, owner_name, education, work_undergo, school, specialty, mmended_state, mail, account, id_card, gender, interview_state, graduate_time, counts) values"
+    data = await db.execute_dict(sql, insert_data)
+    return schemas.Msg(code=200, msg='ok', data=data)
+
+
+@app.post("/file_upload")
+async def file_upload(file: UploadFile = File(...)):
+
 # @router.post("/interview_insert")
 # async def interview_insert(
 #         request: Request,

utils/jianli.py

@@ -9,7 +9,6 @@ from win32com import client as wc
 from pdf2docx import Converter
 
 # 文件路径
-PATH_DATA = os.path.abspath("C:/Users/Administrator/Desktop/面试简历")
 schema = ['姓名', '所在地', '户口所在地', '籍贯', '婚姻状况', '民族', '身高', '电话', 'tel', '应聘职位', '到岗时间', '学历', '毕业学校', '专业',
           '期望薪资', '在校时间', '电子邮箱', '工作经验', 'Email', '性别', '年龄'
           ]
@@ -363,26 +362,27 @@ def fmtList(txtlist, dates):
     return dates
 
 
-def get_resume():
-    for root, dirs, files in os.walk(PATH_DATA):
-        for file in files:  # 一个file就是一份简历
-            url = PATH_DATA + f"/{file}"
+def get_resume(file, path_data):
+    # for root, dirs, files in os.walk(PATH_DATA):
+    #     for file in files:  # 一个file就是一份简历
+
+    url = path_data + f"/{file}"
     if os.path.splitext(file)[1] == '.pdf':
-                pdf_docx(PATH_DATA, file)  # 转为docx
+        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
+        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
+        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
+        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
@@ -431,4 +431,4 @@ def get_resume():
 
 
 if __name__ == '__main__':
-    get_resume()
+    get_resume(file, path_data)

接口文档/导入候选人接口文档.txt

@@ -0,0 +1,12 @@
+路由: /api/v1/itr/interview_file_insert
+
+参数:
+    文件
+
+
+返回值:
+{
+  "code": 200,
+  "msg": "ok",
+  "data": 1      # 成功添加的数据条数
+}