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jumpserver/apps/common
Bai 31f098449f
perf: 修改 OPTION 获取 choices 字段选项; 修改display字段翻译 (显示名称)
4 years ago
..
auth
const feat: 添加缓存模块,添加组织资源统计 (#5407) 4 years ago
db fix:资产自动推送UUIDD数组格式化字符串失败 4 years ago
drf perf: 修改 OPTION 获取 choices 字段选项; 修改display字段翻译 (显示名称) 4 years ago
fields feat: 抽象View Mapping Serializer架构设计; 重构工单View、Serializer模块 (#5371) 4 years ago
migrations
mixins feat: 添加缓存模块,添加组织资源统计 (#5407) 4 years ago
templatetags
urls
utils feat: 添加缓存模块,添加组织资源统计 (#5407) 4 years ago
README.md
__init__.py
api.py
apps.py
cache.py fix: 修复缓存框架组织切换问题&组织的 resource_statistics 字段是只读 4 years ago
compat.py
decorator.py
exceptions.py
http.py
local.py
permissions.py
signals.py
signals_handlers.py
struct.py
tasks.py feat: 添加缓存模块,添加组织资源统计 (#5407) 4 years ago
tests.py
thread_pools.py
tree.py
validators.py

README.md

Common app

Common app provide common view, function or others.

Common app shouldn't rely on other apps, because It may lead to cycle import.

If your want to implement some function or class, you should think whether other app use or not. If yes, You should make in common.

If the ability more relate to your app tightness, It's mean your app provide this ability, not common, You should write it on your app utils.

Celery usage

JumpServer use celery to run task async. Using redis as the broker, so you should run a redis instance

Run redis

$ yum -y install redis 

or

$ docker run -name jumpserver-redis -d -p 6379:6379 redis redis-server

Write tasks in app_name/tasks.py

ops/tasks.py

from __future__ import absolute_import

import time
from celery import shared_task
from common import celery_app


@shared_task
def longtime_add(x, y):
    print 'long time task begins'
    # sleep 5 seconds
    time.sleep(5)
    print 'long time task finished'
    return x + y
    

@celery_app.task(name='hello-world')
def hello():
    print 'hello world!'
  

Run celery in development

$ cd apps
$ celery -A common worker -l info 

Test using task

$ ./manage.py shell
>>> from ops.tasks import longtime_add
>>> res = longtime_add.delay(1, 2)
>>> res.get()