How to Create an Executable from a Monorepo Poetry Subproject

by

What will you learn?

Discover how to package a monorepo poetry subproject into an executable for streamlined distribution and deployment.

Introduction to the Problem and Solution

Managing multiple Python packages within a monorepo structure using Poetry can lead to complexities in distribution. By bundling these subprojects into a single executable, deployment becomes more straightforward. This guide focuses on simplifying the packaging and distribution process of your project by creating an executable.

To achieve this, we will utilize tools that consolidate all subprojects into one executable file. This approach eliminates the need for end-users to manage dependencies or navigate through intricate setup procedures.

Code

# Import necessary libraries
from setuptools import setup

# Define setup parameters for the main project (monorepo)
setup(
    name='my_monorepo_project',
    version='1.0',
    packages=['subproject1', 'subproject2'],
    entry_points={
        'console_scripts': [
            'my_executable = main_script:main_function'
        ]
    },
)

# Credits: PythonHelpDesk.com

# Copyright PHD

Explanation

To create an executable from a monorepo poetry subproject, we use setuptools, a common tool for building Python packages. Here’s how each section of the code contributes to generating the desired executable:

Parameter Description
Name Identifies the main project
Version Specifies the project’s version
Packages Lists all subprojects/packages included in the final build
Entry Points Defines scripts exposed as commands when installed (e.g., my_executable)

By configuring these parameters correctly in our setup.py file, we can create an executable that contains all essential components for seamless execution.

    How do I install setuptools?

    You can install setuptools using pip:

    pip install setuptools

# Copyright PHD

    What are entry points in setuptools?

    Entry points define callable functions or console scripts within your package that become commands after installation.

    Can I include external dependencies in my executable?

    Yes, additional dependencies required by your subprojects can be specified in the install_requires parameter of your setup() function.

    Is it possible to customize the name of my generated executable?

    Absolutely! You can modify the command specified under ‘console_scripts’.

    How do I run my generated executable?

    After building, you can execute your custom command (e.g., my_executable) directly from the terminal or command prompt.

    Are there alternative ways besides setuptools for creating executables?

    While setuptools is popular, tools like PyInstaller and cx_Freeze offer different approaches for generating standalone executables from Python code.

    Can I distribute my executable across different operating systems?

    Yes, but ensure compatibility by considering platform-specific nuances during development and deployment stages.

    How can I handle data files or resources within my packaged application?

    Manage data files by using techniques like relative paths or embedding data directly within source files before packaging.

    Will users require Python installed on their systems to run my executable?

    No, once bundled as an executable with dependencies included, end-users typically won’t need separate installations beyond what’s provided in your build.

    Conclusion

    In conclusion, bundling a monorepo poetry subproject into an executable simplifies deployment complexities associated with multi-package structures. By leveraging tools like setuptools, we streamline this process efficiently while ensuring seamless execution for end-users. For further assistance or insights on similar topics visit PythonHelpDesk.com.

    Leave a Comment