Hi,
I'm working on a Pyramid project composed of different tiers:
- Pyramid REST API
- Asynchronous Celery tasks
Since my REST API and asynchronous tasks targets the same database, I
set my data models in their own package. My project is therefore
structured this way:
/
├─ myproj/
│ ├─ common/
│ │ ├─ utils/
│ │ ├─ vendor/
│ │ └─ __init__.py
│ ├─ data/
│ │ ├─ models/
│ │ ├─ queries/
│ │ ├─ schemas/
│ │ └─ __init__.py
│ ├─ server/
│ │ ├─ views/
│ │ ├─ ...
│ │ └─ __init__.py
│ ├─ tasks/
│ │ ├─ common/
│ │ │ ├─ __init__.py
│ │ │ └─ celery.py
│ │ ├─ task1/
│ │ │ ├─ ...
│ │ │ └─ __init__.py
│ │ ├─ task2/
│ │ │ ├─ ...
│ │ │ └─ __init__.py
│ │ └─ __init__.py
│ └─ __init__.py
└─ setup.py
``myproj`` and ``myproj.tasks`` are two `namespace packages
<https://packaging.python.org/guides/packaging-namespace-packages/#pkgutil-style-namespace-packages>`_
with the ``__init__.py`` file only containing the following:
__path__ = __import__('pkgutil').extend_path(__path__, __name__)
This way, I can build a clear dependency graph for example:
* ``myproj.server`` depends on ``myproj.common`` and ``myproj.data``.
* Any tasks will depend on ``myproj.tasks.common`` and optionally on
``myproj.common`` or ``myproj.data``.
Now come the hard part. Our team is too small to get the project
divided in multiple sub-projects and I would also like to keep
distribution as simple as possible meaning keeping only one
``setup.py`` so that with one ``./setup.py bdist``, I can create
**all** the packages I need to distribute the project.
And indeed I'd like to have multiple packages for this one project so
I can install only the required dependencies for each subsystem. In
the end, I'd like to get a distribution package for the following:
* myproj.common
* myproj.data
* myproj.server
* myproj.tasks.common
* myproj.tasks.task1
* myproj.tasks.task2
Any idea how I can get this far keeping the overall project management
as simple as possible?
Regards,
Jimmy
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