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Apache-2.0

匠果招聘:极客时间《Django快速开发实战》视频课程代码仓库,一个招聘面试中即刻能用的开源项目。

匠果招聘:项目说明

用做创业公司职位发布,简历投递,招聘管理的开源项目,基于高效的Django & Python开发。 优秀的产品经理,能够做好迭代版本规划。

最初,这是一个使用 Python Django 两天开发出来的项目,经过逐步完善可以满足不同企业的招聘管理需求。 可集成企业域账号、发布职位、候选人可以投递简历、可以在面试过程中评估简历。 可以导入,导出候选人数据。

面试通知跟 钉钉群集成。

博客地址

部分技术细节的详细介绍, 参考博客地址: 若谷技术分享

项目效果

招聘后台 - 首页 招聘后台 - 首页

招聘后台 - 候选人列表 招聘后台 - 候选人列表

招聘系统后台 - 评估候选人 招聘系统后台 - 评估候选人

对外招聘网站 - 职位列表 对外招聘网站 - 职位列表

对外招聘网站 - 申请职位 对外招聘网站 - 申请职位

运行的前提条件

机器上有安装有Python, Django. 参考: https://docs.djangoproject.com/

如何运行

本地和生产环境分别运行如下命令:

  • python3 ./manage.py runserver 127.0.0.1:8000 --settings=settings.local
  • python3 ./manage.py runserver 127.0.0.1:8000 --settings=settings.production

然后可以通过访问如下两个页面

命令行导入候选人

  • python3 manage.py import_candidates --path /path/to/your/file.csv

OpenLDAP/Active Directory集成

  • 1.settings/base.py中配置LDAP相关的映射信息 (用户尝试登陆时自动创建账号,但创建的账号 is_staff = false,不能登陆系统)
  • 2.运行 ./manage.py ldap_sync_users 来同步LDAP账号到 Django 账号库, 使用用户在 django 后台有账号。
  • 3.admin登陆后台,编辑用户属性,设置为 is_staff (使得用户能登陆), 同时添加到自己建的群组: interviewer (使得用户有权限做面试操作)

钉钉消息通知

在 settings/local.py 或者 settings/production.py 中配置群机器人的 WebHook , 用来发送消息通知。 DINGTALK_WEB_HOOK = "https://oapi.dingtalk.com/robot/send?access_token=xsxxx"

集成 Sentry

安装 sentry-sdk $ pip install --upgrade sentry-sdk

在 settings/local.py, settings/production.py 中加上 sentry 的初始化配置

import sentry_sdk
from sentry_sdk.integrations.django import DjangoIntegration

sentry_sdk.init(
    dsn="http://xxx@recruit.xxxx.com:9000/2",
    integrations=[DjangoIntegration()],
    # performance tracing sample rate, 采样率, 生产环境访问量过大时,建议调小(不用每一个URL请求都记录性能)
    traces_sample_rate=1.0, # 
    
    # If you wish to associate users to errors (assuming you are using
    # django.contrib.auth) you may enable sending PII data.
    send_default_pii=True
)

集成 Celery

  • $ brew install redis # on mac

  • $ sudo apt-get install redis # on ubuntu/debian

  • $ pip install -U celery

  • $ pip install "celery[redis,auth,msgpack]"

  • $ pip install -U flower

local.py, production.py 里面添加 Celery 配置

CELERY_BROKER_URL = 'redis://localhost:6379/0'
CELERY_RESULT_BACKEND = 'redis://localhost:6379/1'
CELERY_ACCEPT_CONTENT = ['application/json']
CELERY_RESULT_SERIALIZER = 'json'
CELERY_TASK_SERIALIZER = 'json'
CELERY_TIMEZONE = 'Asia/Shanghai'
CELERYD_MAX_TASKS_PER_CHILD = 10
CELERYD_LOG_FILE = os.path.join(BASE_DIR, "logs", "celery_work.log")
CELERYBEAT_LOG_FILE = os.path.join(BASE_DIR, "logs", "celery_beat.log")

启动本地 Celery 异步任务服务 & Flower 监控服务

  • $ DJANGO_SETTINGS_MODULE=settings.local celery -A recruitment worker -l info

  • $ DJANGO_SETTINGS_MODULE=settings.local celery -A recruitment flower

celery 从 4.x 升级到 5.x

  • $ celery upgrade settings path/to/settings.py

基础功能列表

  • 管理职位
  • 候选人浏览职位、投递职位
  • 导入候选人信息
  • 面试评估反馈
  • 域账号集成 (LDAP账号集成)

进阶功能

  • 钉钉消息通知集成,面试消息及时通知钉钉群(也可以发送到 企业微信群/Slack等)
  • 候选人列表筛选和查询
  • 候选人数据导出(导出为 CSV)
  • 权限控制:面试官和 HR 不同的权限控制,面试官的数据权限(能录入自己需要反馈的面试环节的内容),数据集权限(看到自己需要评估的候选人),功能权限(导出数据)控制

扩展功能

  • 通知面试官面试
  • 列表页可以查看简历
  • 国际化
  • 错误日志上报
  • 提供 Rest API (Celery Rest Framework)
  • 异步任务与定时任务 (Celery集成)

run in docker

交互运行: docker run -it --rm -p 8000:8000 --entrypoint /bin/sh ihopeit/recruitment-base:0.8

指定本地源码目录: docker run -it --rm -p 8000:8000 -v "$(pwd)":/data/recruitment --entrypoint /bin/sh ihopeit/recruitment-base:0.8

指定加载源码 && 环境变量: docker run --rm -p 8000:8000 -v "$(pwd)":/data/recruitment --env server_params="--settings=settings.local" ihopeit/recruitment-base:0.8

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创业公司职位发布,简历投递,招聘管理的开源项目,即刻能用的项目,Powered by Python & Django expand collapse
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