<@U0667DNC02Y> I have a monorepo. Can I make one p...
# ask-ai
s
@Scout I have a monorepo. Can I make one python package depend on another ? Give me an example file structure and setup.py
s
Yes, you can make one Python package depend on another within a monorepo. The structure of your monorepo and the contents of your
setup.py
files will depend on how you organize your packages. Here's an example of how you might structure your monorepo and configure your
setup.py
files to express dependencies between packages:
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monorepo/
│
├── package_a/
│   ├── package_a/
│   │   ├── __init__.py
│   │   └── module_a.py
│   └── setup.py
│
└── package_b/
    ├── package_b/
    │   ├── __init__.py
    │   └── module_b.py
    └── setup.py
In this structure,
package_a
and
package_b
are two separate Python packages within the monorepo. Let's say
package_b
depends on
package_a
. You would express this dependency in
package_b/setup.py
. Here's an example
setup.py
for `package_a`:
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python
from setuptools import setup, find_packages

setup(
    name='package_a',
    version='0.0.1',
    description='A brief description of package_a',
    author='Your Name',
    author_email='<mailto:your.email@example.com|your.email@example.com>',
    packages=find_packages(),
    install_requires=[
        # List any dependencies required by package_a here
    ],
)
And here's an example
setup.py
for
package_b
, which depends on `package_a`:
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python
from setuptools import setup, find_packages

setup(
    name='package_b',
    version='0.0.1',
    description='A brief description of package_b',
    author='Your Name',
    author_email='<mailto:your.email@example.com|your.email@example.com>',
    packages=find_packages(),
    install_requires=[
        'package_a==0.0.1',  # This line specifies that package_b depends on package_a
    ],
)
In the
install_requires
list of
package_b/setup.py
, you specify the exact version of
package_a
that
package_b
depends on. When you install
package_b
using
pip
, it will automatically install
package_a
as well. To install the packages in editable mode (which is useful for development), you would navigate to each package directory and run:
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bash
pip install -e .
This command tells
pip
to install the package in "editable" mode, meaning that changes to the package's source code will immediately affect the installed package without needing to reinstall it. Please note that the version numbers and other metadata in the
setup.py
files should be updated to reflect the actual versions and information of your packages. Python Packages: a Primer for Data Peopl... button Building wheel for multidict (pyproject.... button Best Practices in Structuring Python Pro... button How to add private Python packages to a ... button Thank you for your feedback!
s
@Scout I want this to work in a dagster cloud deployment. What should I change ? And how does package_b know where package_a is ? (you haven’t specified the path)
s
In a Dagster Cloud deployment, you would typically package your code and specify your dependencies in a way that can be recognized and installed by the deployment infrastructure. According to the documentation, any dependencies specified in either
requirements.txt
or
setup.py
will be installed automatically by the Dagster Cloud Serverless infrastructure. For
package_b
to know where
package_a
is, you would need to ensure that both packages are included in your deployment and that
package_a
is accessible as an installable package. This can be done by specifying the path to
package_a
relative to
package_b
in the
setup.py
of
package_b
, or by installing
package_a
in your environment before
package_b
. Here's an updated example structure for your monorepo with a single
setup.py
at the root that includes both
package_a
and `package_b`:
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monorepo/
│
├── package_a/
│   ├── __init__.py
│   └── module_a.py
│
├── package_b/
│   ├── __init__.py
│   └── module_b.py
│
└── setup.py
And here's an example
setup.py
at the root of the monorepo:
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python
from setuptools import setup, find_packages

setup(
    name='monorepo',
    version='0.0.1',
    description='A monorepo containing multiple packages',
    author='Your Name',
    author_email='<mailto:your.email@example.com|your.email@example.com>',
    packages=find_packages(),
    install_requires=[
        # List any third-party dependencies required by both package_a and package_b here
    ],
    extras_require={
        'package_a': [
            # List any additional dependencies specific to package_a here
        ],
        'package_b': [
            'package_a==0.0.1',  # This line specifies that package_b depends on package_a
            # List any additional dependencies specific to package_b here
        ],
    },
)
In this setup, you're using the
extras_require
section to specify dependencies for each package. When deploying to Dagster Cloud, you would build your deployment package from the root of the monorepo, ensuring that both
package_a
and
package_b
are included. To install
package_b
with its dependencies, including the local
package_a
, you would run:
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bash
pip install .[package_b]
This command tells
pip
to install the current package (the monorepo) with the extra requirements for
package_b
, which includes
package_a
. When deploying to Dagster Cloud, make sure that your
setup.py
is correctly configured to include all necessary packages and dependencies. The deployment process will handle installing these dependencies based on the configuration you provide in
setup.py
. If you have a more complex setup or need to include packages from private repositories or other sources not accessible to the Dagster Cloud deployment process, you may need to use additional tool
s or scripts to handle those dependencies. The documentation suggests that for private packages, you might need to use a GitHub Action or similar CI/CD tooling to build and install the package as a dependency in your Dagster Cloud project. Managing code locations in Dagster Cloud... button How to add private Python packages to a ... button How do I deploy an existing Dagster proj... button Serverless deployment in Dagster Cloud |... button Thank you for your feedback!