Django Tasks Manager - Free PyPi Library
A free sample project that integrates Django-TM, an open-source package for Django and Celery (provided by AppSeed).
Hello! This article presents an open-source sample that explains step-by-step how to use Django Tasks Manager library in a new project. The commits are made to highlight each step of the implementation starting from an empty directory up to the final phase when the project manages the tasks through UI controls. Thanks for reading!
- π Django & Celery Manager - the library used
- π Tasks Manager Sample - the implementation sample
- π Free Support (just in case)
Before anyone reads this content, is better to know what's in the box:
The library used by the sample is powered by Django and Celery, a popular task queue manager, and provides a simple way to execute background tasks in full control: start/stop, view output, and runtime logs. Here is the full list of library features:
- β Create/Revoke Celery Tasks
- β View LOGS & Output
- β Minimal Configuration
- β Installation via PyPi
- β Available TASKS (provided as starting samples)
- β
Task
users_in_db()
- List all registered users - β
Task
execute_script()
- let users execute system scripts
In the end, this UI exposed by the tool is similar to this:
In case this library sounds useful, the integration steps for any Django project are presented below. Β
An important aspect is the Redis service dependency required by Celery used to manage and tasks state tracking in real-time.
π Step 1 - Install django-tasks-manager
via PIP
The recommended way to do this is to use a virtual environment that isolates the installation of the library.
$ pip install django-tasks-manager
Once the installation is finished the next step is to create two directories used by the library:
celery_logs
- used to log the runtime execution of the taskscelery_scripts
- the location where the library search for scrips to be executed
$ mkdir celery_logs
$ mkdir celery_scripts
The package ships a few simple scripts as a proof of concept available for download from the public repository.
π Step 2 - Update app routing
# core/urls.py
from django.urls import path, include # <-- UPDATE: Add 'include' HELPER
urlpatterns = [
...
path("", include("django_tm.urls")), # <-- New Routes
...
]
π Step 3 - Β Update Configuration, include the new APPS
# App Settings, truncated content
INSTALLED_APPS = [
...
'django_tm', # Django Tasks Manager # <-- NEW
'django_celery_results', # Django Celery Results # <-- NEW
]
π Step 4 - Β Update Configuration, include page templates
# App Settings, truncated content
TEMPLATE_DIR_TASKS = os.path.join(BASE_DIR, "django_tm/templates") # <-- NEW
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [TEMPLATE_DIR_TASKS], # <-- NEW
'APP_DIRS': True,
},
]
π Step 5 - Update Configuration, New CELERY_
Section
#############################################################
# Celery configurations
# BASE_DIR points to the ROOT of the project
# Note: make sure you have 'os' object imported
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Working Directories required write permission
CELERY_SCRIPTS_DIR = os.path.join(BASE_DIR, "celery_scripts" )
CELERY_LOGS_DIR = os.path.join(BASE_DIR, "celery_logs" )
CELERY_BROKER_URL = os.environ.get("CELERY_BROKER", "redis://localhost:6379")
CELERY_RESULT_BACKEND = os.environ.get("CELERY_BROKER", "redis://localhost:6379")
CELERY_TASK_TRACK_STARTED = True
CELERY_TASK_TIME_LIMIT = 30 * 60
CELERY_CACHE_BACKEND = "django-cache"
CELERY_RESULT_BACKEND = "django-db"
CELERY_RESULT_EXTENDED = True
CELERY_RESULT_EXPIRES = 60*60*24*30 # Results expire after 1 month
CELERY_ACCEPT_CONTENT = ["json"]
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
#############################################################
π Step 6 -Migrate the database
&start
the app
$ python manage.py makemigrations
$ python manage.py migrate
$
$ python manage.py runserver
π Step 7 - Start the Celery
manager (using another terminal)
$ celery --app=django_tm.celery.app worker --loglevel=info
The superusers now can connect to the UI and orchestrate the tasks visually at this address: http://127.0.0.1:8000/tasks
Thanks for reading! For more resources, feel free to access:
- π Free Support via Email and Discord
- π More free starters crafted in different technologies
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