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Project description
django-workflow-engine
django-workflow
is a lightweight and reusable workflow engine for
Django applications. It enables you to better organise the business logic for
collaborating users.
Installation
pip install django-workflow-engine
Getting started
Add the application to your Django settings INSTALLED_APPS
list:
INSTALLED_APPS = [
...
"django_workflow_engine",
]
Add the built-in django-workflow-engine
view urls to your project's urls.py
as follows:
from django_workflow_engine import workflow_urls
...
urlpatterns = [
path("workflow/", workflow_urls()),
...
]
This will utilise all django-workflow-engine
built-in view classes. Default views are:
list_view=FlowListView
List of workflow instances view.view=FlowView
Workflow instance view.create_view=FlowCreateView
Create workflow view.continue_view=FlowContinueView
Workflow continuation view.diagram_view=FlowDiagramView
Workflow diagram view.
You can override any the built-in view classes with your own, for example to provide your own view classes for flow list and flow view:
urlpatterns = [
path("workflow/",
workflow_urls(
list_view=MyFlowListView,
view=MyFlowView,
),
),
]
Building your first workflow
Create a workflows.py
in your project and add your uniquely named workflows.
from django_workflow_engine import Step, Workflow
onboard_contractor = Workflow(
name="onboard_contractor",
steps=[
Step(...),
Step(...),
Step(...),
],
)
onboard_perm = Workflow(
name="onboard_perm",
steps=[
...
],
)
Add you workflows to your Django settings as follows:
DJANGO_WORKFLOWS = {
"onboard_contractor": "your_app.workflows.onboard_contractor",
"onboard_perm": "your_app.workflows.onboard_perm",
}
Each entry needs to be a valid module path where the final component is the name of your workflow class.
Finally, run the django-workflow-engine
migrations:
$ ./manage.py migrate
Pushing to PyPI
Running make build-package
will build the package into the dist/
directory
Running make push-pypi-test
will push the built package to Test PyPI
Running make push-pypi
will push the built package to PyPI
Setting up poetry for pushing to PyPI
First you will need to add the test pypy repository to your poetry config:
poetry config repositories.test-pypi https://test.pypi.org/legacy/
Then go to https://test.pypi.org/manage/account/token/ and generate a token.
Then add it to your poetry config:
poetry config pypi-token.test-pypi XXXXXXXX
Then you also need to go to https://pypi.org/manage/account/token/ to generate a token for the real PyPI.
Then add it to your poetry config:
poetry config pypi-token.pypi XXXXXXXX
Now the make commands should work as expected.
Dependencies
Settings
Running tests
Project details
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