Django Tasks Manager - Free PyPi Library

Hello Coders!

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!

• 👉 Django & Celery Manager - the library used
• 👉 Tasks Manager Sample - the implementation sample
• 👉 Django Tasks Manager - Product Page (for support)

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:

• ✅ Create/Revoke Celery Tasks
• ✅ View LOGS & Output
• ✅ Minimal Configuration
• ✅ Installation via PyPi
• ✅ Available TASKS (provided as starting samples)
• ✅ Task users_in_db() - List all registered users
• ✅ 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.

An important aspect is the Redis service dependency required by Celery used to manage and tasks state tracking in real-time.

👉 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 tasks
• celery_scripts - the location where the library search for scrips to be executed

The package ships a few simple scripts as a proof of concept available for download from the public repository.

👉 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

    ...
]

👉 Step 3 - 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
]

👉 Step 4 - 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,
    },
]

👉 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'

#############################################################

👉 Step 6 - Migrate the database & start the app

$ python manage.py makemigrations
$
$ python manage.py migrate
$ 
$ python manage.py runserver

👉 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:

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