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In Maven, Habushu allows virtual environment-based Python projects to be included as part a Maven build. This brings some order and consistency to what can otherwise be haphazardly structured projects.

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Habushu

Maven Central License Build (github)

In Okinawa, habushu (pronounced HA-BU-SHU) is a sake that is made with venomous snake. The alcohol in the snake assists in dissolving the snake's venom and making it non-poinsonous. In Maven, Habushu allows virtual environment-based Python projects to be included as part a Maven build. This brings some order and consistency to what can otherwise be haphazardly structured projects.

Why Do You Need Habushu?

Habushu is implemented as a series of Maven plugins that tie together existing tooling in an opinionated fashion similar to how Maven structures Java projects.

By taking care of manual steps and bringing a predictable order of execution and core naming conventions, Habushu increases time spent on impactful work rather than every developer or data scientist building out scripts that meet their personal preferences.

No one person will agree with all the opinions implemented by Habushu. The value in being able to run entire builds from a single mvn clean install command regardless of your prior experience with the projects adds substantial value - both locally and in DevSecOps scenarios.

More information about how Habushu can be used and benefit your project can be found in this blog post, which covers how Habushu helps acheive repeatable Python builds in polyglot monorepos.

Requirements

In order to use Habushu, the following prerequisites must be installed:

  • Maven 3.6+
    • Maven 3.9+ for use with Maven Build Cache
  • Java 11+
  • Poetry 1.5+
  • Pyenv

Additionally, Habushu may install and manage:

Usage

Habushu automates a consistent and predictable build lifecycle by delegating nearly all commands related to dependency management, virtual environment activation, and package publishing to Poetry. As a result, Habushu projects are Poetry projects and are expected to align with the conventions, structure, and configurations utilized by Poetry projects with the src/ packaging layout.

A Poetry project using the src/ packaging layout only needs an appropriately configured pom.xml within the root level of the project to instrumented through Habushu and participate in a Maven build lifecycle. The following depicts the required folder structure within an example Habushu module named spam-ham-eggs, including the placement of the required pom.xml and pyproject.toml configurations and utilization of behave for automated testing:

	spam-ham-eggs
	├── pyproject.toml
	├── pom.xml
	├── src
	│   └── spam_ham_eggs
	│       └── __init__.py
	└── tests
	    └── features
	        ├── spam_ham_eggs.feature
    	    └── steps
	            └── spam_ham_eggs_step.py

Best practices for creating a new Poetry project (possibly based on an existing Python package or older Habushu module) and adding needed Habushu plugin declaration to the module's pom.xml are described below.

Creating a New Poetry Project

If starting from scratch, use the poetry new --src command to create a new Poetry project:

$ poetry new spam-ham-eggs --src
Created package spam_ham_eggs in spam-ham-eggs
$ ls spam-ham-eggs 
README.rst     pyproject.toml src            tests

If migrating an existing Python package, consider using poetry init and use the interactive guide to create the desired pyproject.toml configuration with the appropriate dependencies.

If migrating an earlier release of Habushu, follow the same process, but note the following required changes:

  • Dependencies specified in requirements.txt must be specified in pyproject.toml - either use poetry add or add them interactively via poetry init

  • Python source and test files must be migrated into the folder structure described above, which aligns with the standard src/ packaging layout. Assuming that the package name is spam_ham_eggs, src/main/python/* from the existing Habushu project must be moved into src/spam_ham_eggs and src/test/python/* from the existing Habushu project must be moved into tests

  • Previously, Habushu 1.x modules depended on each other via Maven <dependency> declarations. This approach is deprecated as Habushu 2.x+ expects that other Habushu modules are published to PyPI repositories and consumed as Python packages using Poetry's built-in dependency management capabilties. For Habushu module dependencies within the same Maven multi-module build hierarchy, consider using editable development installs:

    # pyproject.toml
    [tool.poetry.dependencies]
    my-package = {path = "../spam-eggs-ham-dependency", develop = true}

Integrating Your Poetry Project with Habushu and Maven

Once you have a valid Poetry project, add the following configurations to your pom.xml to enable your Poetry project to be managed as a part of Habushu's custom Maven build lifecycle.

Set the <packaging> type of your module's pom.xml to habushu:

	<packaging>habushu</packaging>

Add the following plugin definition to your module's pom.xml <build> section:

	<plugin>
		<groupId>org.technologybrewery.habushu</groupId>
		<artifactId>habushu-maven-plugin</artifactId>
		<version>2.0.0</version>
		<extensions>true</extensions>
	</plugin>

If publishing packages to or consuming dependencies from a private PyPI repository that requires authentication, add your repository credentials to your Maven's settings.xml file, usually located under your ~/.m2 folder. See the Configuration section below on how to

    <server>
        <!-- ID of the PyPI repository - this ID will be used to reference this repository in
             the habushu-maven-plugin configuration -->
        <id>private-pypi-repo</id>
        
        <!-- Username of the account by which to access the PyPI repository -->
        <username>pypi-repo-username</username>
        
        <!-- Password of account by which to access the PyPI repository; should be encrypted as per Maven best practices  -->
        <password>{encrypted-pypi-repo-password}</password>
    </server>

Adding Tests

Habushu leverages behave to institute behavior-driven development (BDD) and quickly execute tests that implement Gerkin features.

Gherkin feature files should be added to tests/features while Python step implementations should be added to tests/features/steps. As is customary with BDD, once you add your feature, stubbed methods can be created for each step by running the build via mvn test. Any step that is missing will be listed at the end of the build, allowing you to copy that snippet and then add in the implementation. For example:

[INFO] Failing scenarios:
[INFO]   tests/features/example.feature:30  This is an unimplemented test for testing purposes

You can implement step definitions for undefined steps with these snippets:

@given(u'any SSL leveraged within the System')
def step_impl(context):
    raise NotImplementedError(u'STEP: Given any SSL leveraged within the System')

Running Specified Tagged Tests

"tagged-tests" is an example profile within habushu-mixology-consumer used to specify a tag(s) to test. The variable "tags" is used to specify which tags to test. To run multiple tests, comma separate them. To exclude a test, add "~" in front of the tag.

Ex: mvn clean test -Ptagged-tests -Dtags="one_tag"

Running Custom Python Scripts During Build Phases

In addition to creating a custom Maven lifecycle that automates the execution of a predictable Poetry-based workflow, Habushu exposes a run-command-in-virtual-env plugin goal that provides developers with the ability to execute any Python command or script within the Poetry project's virtual environment through poetry run during the desired build phase.

For example, developers may use this feature to bind a Habushu module's compile phase to the appropriate Python command that generates gRPC/protobuf bindings as an automated part of the build following dependency installation:

	<plugin>
		<groupId>org.technologybrewery.habushu</groupId>
		<artifactId>habushu-maven-plugin</artifactId>
		<extensions>true</extensions>
		<configuration>
		...
		</configuration>
		<executions>
			<execution>
				<configuration>
					<runCommandArgs>python -m grpc_tools.protoc -I=src
									--python_out=src/habushu_mixology/generated src/person.proto</runCommandArgs>
				</configuration>
				<id>generate-protobuf-bindings</id>
				<phase>compile</phase>
				<goals>
					<goal>run-command-in-virtual-env</goal>
				</goals>
			</execution>
		</executions>
	</plugin>

Leveraging Maven Build Cache for Faster Builds

Habushu enables support for faster builds via the Maven Build Cache (only available in Maven 3.9+). This functionality is enabled through three mechanisms: Maven build directory customization, the Maven Reactor, and Maven Build Cache Configuration. All require manual action to enable.

Maven Build Directory Customization

Update Maven's build configuration to point to the dist directory for output in the pom file for each Habushu module:

    <build>
        <directory>dist</directory>
        ...
    </build>

Maven Reactor Configuration

The Reactor allows Maven to understand the relative structure and local hierarchy of Habushu/non-Habushu modules in your build. This can be accomplished by adding a standard Maven dependency to the modules that should be tied together. For instance, the dependency below is used in Habushu's test modules to create a dependency such that habushu-mixology-consumer depends on habushu-mixology. By adding this, any time a change occurs in habushu-mixology, all dependent Habushu modules will be rebuilt automatically.

<!-- SNIPPET from habushu-mixology-consumer/pom.xml: -->
<dependency>
    <!-- Follow standard Maven GAV (GroupId-ArtifactId-Version) referencing: -->
    <groupId>org.technologybrewery.habushu</groupId>
    <artifactId>habushu-mixology</artifactId>
    <version>2.7.0</version>
    <!-- type of habushu needed for habushu modules specifically: -->
    <type>habushu</type>
</dependency>

Maven Build Cache Configuration

You also need to add the following to your Maven Build Cache maven-build-cache-config.xml file:

<cache>
    <configuration>
        ...
        <attachedOutputs>
            <dirNames>
                <!-- Critical to enable Maven to process the artifacts created by Habushu: -->
                <dirName>../dist</dirName>
            </dirNames>
        </attachedOutputs>
        ...
    </configuration>
    <input>
        <global>
            <!-- The following glob values should be ADDED to your existing values: -->
            <glob>
                {*.xml,*.proto,*.properties,*.py,*.txt,*.toml,.env*,*.feature}
            </glob>
            <includes>
                <include>src/</include>
                <include>pyproject.toml</include>
            </includes>
            <excludes>
                <exclude>poetry.lock</exclude>
            </excludes>
        </global>
    </input>
    ...
</cache>

Configuration

All Habushu configurations may be set either via the habushu-maven-plugin's <configuration> definition, Maven POM properties, or -D on the line and follow a consistent naming pattern for the different configuration approaches. For setting configurations via POM properties or -D on the command line, all configuration keys may be prepended with habushu.. For example, pythonVersion controls the version of Python utilized by Habushu and may be configured using the following approaches:

  1. Plugin <configuration>
	<plugin>
		<groupId>org.technologybrewery.habushu</groupId>
		<artifactId>habushu-maven-plugin</artifactId>
		<extensions>true</extensions>
		<configuration>
			<pythonVersion>3.10.4</pythonVersion>
		</configuration>
	</plugin>
  1. -D via command line
mvn clean install -Dhabushu.pythonVersion=3.10.4
  1. POM properties
	<properties>
		<habushu.pythonVersion>3.10.4</habushu.pythonVersion>
	</properties>

NOTE: The above list's order reflects the precedence in which configurations will be applied. For example, configuration values that are specified in the plugin's <configuration> definition will always take precedence, while system properties via the command line (-D) will take precedence over <properties> definitions.

pythonVersion

The desired version of Python to use. Habushu delegates to pyenv for managing versions of Python depending on the configuration usePyenv.

Default: 3.11.4

usePyenv

If true, Habushu will delegate to pyenv for managing and (if needed) installing the specified version of Python. If false, Habushu will look for the desired version of Python on the PATH. If Python is not found or if the version does not match the configured pythonVersion, the build will fail.

Default: true

behaveOptions

Options that should be passed to the behave command when executing tests. If this value is provided, then behaveExcludeManualTag is ignored.

behave supports a number of command line options - developers may adjust the default test execution behavior to optimize productivity, such as selectively executing features associated with a specific in-flight tag (mvn clean test -Dhabushu.behaveOptions="--tags wip-feature").

Default: None

disableOutputCapture

Allow stdout, stderr and logs to be printed to the console during behave tests.

Note: If user wants more granular control over logging output, can set disableOutputCapture to false and use behaveOptions: mvn clean test -Dhabushu.disableOutputCapture=false -Dhabushu.behaveOptions="--no-logcapture --no-capture"

Default: true

behaveExcludeManualTag

Exclude any BDD scenario or feature file tagged with @manual.

NOTE: If behaveOptions are provided, this property is ignored.

Default: true

behaveTestEnvironmentVariables

Enables the ability to set environment variables when executing the behave tests. The environment variables should be defined in the pom.xml:

<plugin>
  <groupId>org.technologybrewery.habushu</groupId>
  <artifactId>habushu-maven-plugin</artifactId>
  <extensions>true</extensions>
  <configuration>
    <behaveTestEnvironmentVariables>
      <ENV_VAR>VALUE</ENV_VAR>
    </behaveTestEnvironmentVariables>
  </configuration>
</plugin>

To pass environment variables in via the command line using the -D option, use a property placeholder in the pom.xml:

<plugin>
  <groupId>org.technologybrewery.habushu</groupId>
  <artifactId>habushu-maven-plugin</artifactId>
  <extensions>true</extensions>
  <configuration>
    <behaveTestEnvironmentVariables>
      <ENV_VAR>${habushu.ENV_VAR}</ENV_VAR>
    </behaveTestEnvironmentVariables>
  </configuration>
</plugin>

Then you can specify the value from the cli: mvn clean install -Dhabushu.ENV_VAR=customValue. A default value can be set in the <properties> tag of the pom.xml.

Default: None

rewriteLocalPathDepsInArchives

Enables the use of the poetry-monorepo-dependency-plugin to rewrite any local path dependencies (to other Poetry projects) as versioned packaged dependencies in generated wheel/sdist archives. If true, Habushu will replace invocations of Poetry's build and publish commands with the extensions of those commands exposed by the poetry-monorepo-dependency-plugin, which are build-rewrite-path-deps and publish-rewrite-path-deps, respectively.

To further ease working with monorepo dependencies, Habushu will specially handle how these dependencies are written to intermediate requirements.txt exports. In this case, the dependencies will be excluded from the export unless rewriteLocalPathDepsInArchives is set to true. This feature can be useful if installing the exported requirements.txt on another machine and/or Docker container.

Typically, this flag will only be true when deploying/releasing Habushu modules within a CI environment that are part of a monorepo project structure which multiple Poetry projects depend on one another.

Default: false

pypiRepoId

Specifies the <id> of the <server> element declared within the utilized Maven settings.xml configuration that represents the PyPI repository to which this project's archives will be published and/or used as a supplemental repository from which dependencies may be installed. This property is REQUIRED if publishing to or consuming dependencies from a private PyPI repository that requires authentication - it is expected that the relevant <server> element provides the needed authentication details.

If this property is not specified, this property will default to pypi and the execution of the deploy lifecycle phase will publish this package to the official public PyPI repository. Downstream package publishing functionality will use the relevant settings.xml <server> declaration with <id>pypi</id> as credentials for publishing the package to PyPI. If developers want to use PyPI's API tokens instead of username/password credentials, they may do so by manually executing the appropriate Poetry command (poetry config pypi-token.pypi my-token) in an ad-hoc fashion prior to running deploy.

This property will typically be specified as a command line option during the deploy lifecycle phase. For example, given the following configuration in the utilized settings.xml:

    <server>
        <id>private-pypi-repo</id>
        <username>pypi-repo-username</username>
        <password>{encrypted-pypi-repo-password}</password>
    </server> 

The following command may be utilized to publish the package to the specified private PyPI repository at https://private-pypi-repo-url/repository/pypi-repo/:

$ mvn deploy -Dhabushu.pypiRepoId=private-pypi-repo -Dhabushu.pypiRepoUrl=https://private-pypi-repo-url/repository/pypi-repo/

Default: pypi

pypiRepoUrl

Specifies the URL of the private PyPI repository to which this project's archives will be published and/or used as a supplemental repository from which dependencies may be installed. This property is REQUIRED if publishing to or consuming dependencies from a private PyPI repository.

If the Habushu project depends on internal packages that may only be found on a private PyPI repository, developers should specify this property through the plugin's <configuration> definition:

	<plugin>
		<groupId>org.technologybrewery.habushu</groupId>
		<artifactId>habushu-maven-plugin</artifactId>
		<extensions>true</extensions>
		<configuration>
			<pypiRepoUrl>https://private-pypi-repo-url/repository/pypi-repo</pypiRepoUrl>
		</configuration>
	</plugin>

Default: None

pypiSimpleSuffix

Specifies the path to the simple index relative to the pypiRepoUrl. Certain private repository solutions use non-standard paths (ie: devpi uses +simple).

Default: simple

pypiUploadSuffix

Specifies the path to the upload index relative to the pypiRepoUrl. Certain private repository solutions use non-standard paths.

Default: None

decryptPassword

Specifies whether Habushu should attempt to decrypt the remote server password provided in Maven's settings.xml file. If false, the password will be retrieved as-is and assumed to be unencrypted.

Warning: Storage of plain-text passwords is a security risk! This functionality is best used when the password is stored in a safe manner outside of Maven's native credential system, and is decrypted prior to execution (Jenkins credentials, for instance).

Default: true

useDevRepository

Instructs deployment to use a development repository rather than a release repository. This is conceptually similar to Maven's release vs. snapshot repositories, allowing the release repository to only have formal releases with a separate repository for all 'dev' releases. Works in conjunction with the 'devRepositoryId' Member and devRepositoryUrl properties

Default: false

pypiPushRetries

Specifies the number of times a push to the configured PyPI repository will be attempted before stopping (inclusive of the initial attempt). While this defaults to three and is fully configurable, it can be set to zero to never retry or set to any negative number for unlimited retries. Unlimited retries will follow a fibonacci backoff interval.

Default: 3

devRepositoryId

Specifies the <id> of the <server> element declared within the utilized Maven settings.xml configuration that represents the development PyPI repository to which this project's archives will be published and/or used as a supplemental repository from which dependencies may be installed. This property is REQUIRED if publishing to or consuming dependencies from a private PyPI repository that requires authentication - it is expected that the relevant <server> element provides the needed authentication details.

If this property is not specified, this property will default to dev-pypi and the execution of the deploy lifecycle phase will publish this package to the official public Test PyPI repository. Downstream package publishing functionality will use the relevant settings.xml <server> declaration with <id>dev-pypi</id> as credentials for publishing the package to PyPI. If developers want to use PyPI's API tokens instead of username/password credentials, they may do so by manually executing the appropriate Poetry command (poetry config pypi-token.pypi my-token) in an ad-hoc fashion prior to running deploy.

This property will typically be specified as a command line option during the deploy lifecycle phase. For example, given the following configuration in the utilized settings.xml:

    <server>
        <id>dev-pypi</id>
        <username>pypi-repo-username</username>
        <password>{encrypted-pypi-repo-password}</password>
    </server> 

The following command may be utilized to publish the package to the specified private PyPI repository at https://private-pypi-repo-url/repository/pypi-repo/:

$ mvn deploy -Dhabushu.pypiRepoId=dev-pypi -Dhabushu.pypiRepoUrl=https://private-pypi-repo-url/repository/pypi-repo/

Default: dev-pypi

devRepositoryUrl

Specifies the URL of the private development PyPI repository to which this project's archives will be published and/or used as a supplemental repository from which dependencies may be installed. This property is REQUIRED if publishing to or consuming dependencies from a private dev PyPI repository.

If the Habushu project depends on internal packages that may only be found on a private dev PyPI repository, developers should specify this property through the plugin's <configuration> definition:

	<plugin>
		<groupId>org.technologybrewery.habushu</groupId>
		<artifactId>habushu-maven-plugin</artifactId>
		<extensions>true</extensions>
		<configuration>
			<devRepositoryUrl>https://private-pypi-repo-url/repository/pypi-repo</devRepositoryUrl>
		</configuration>
	</plugin>

Default: https://test.pypi.org

devRepositoryUrlUploadSuffix

Specifies the path to the upload index relative to the devRepositoryUrl. Certain private repository solutions use non-standard paths (ie: test.pypi.org uses +legacy/).

Default: legacy/

withGroups

Specifies which Poetry dependency groups to include within the installation. Example usage:

mvn clean install -Dhabushu.withGroups=dev,test

or

<plugin>
    <groupId>org.technologybrewery.habushu</groupId>
    <artifactId>habushu-maven-plugin</artifactId>
    <extensions>true</extensions>
    <configuration>
        <withGroups>
            <withGroup>dev</withGroup>
            <withGroup>test</withGroup>
        </withGroups>
    </configuration>
</plugin>

Default: None

withoutGroups

Specifies Poetry dependency groups to exclude within the installation. Example usage:

mvn clean install -Dhabushu.withoutGroups=dev,test

or

<plugin>
    <groupId>org.technologybrewery.habushu</groupId>
    <artifactId>habushu-maven-plugin</artifactId>
    <extensions>true</extensions>
    <configuration>
        <withoutGroups>
            <withoutGroup>dev</withoutGroup>
            <withoutGroup>test</withoutGroup>
        </withoutGroups>
    </configuration>
</plugin>

Default: None

forceSync

A value of true will result in Poetry installing packages with the --sync parameter.

Default: false

runCommandArgs

Only applicable when executing the run-command-in-virtual-env plugin goal

Whitespace-delimited command arguments that will be provided to poetry run to execute. For example, the following property configuration will execute poetry run python -V within the project's virtual environment during the validate phase of the build:

	<plugin>
		<groupId>org.technologybrewery.habushu</groupId>
		<artifactId>habushu-maven-plugin</artifactId>
		<extensions>true</extensions>
		<configuration>
		...
		</configuration>
		<executions>
			<execution>
				<configuration>
					<runCommandArgs>python -V</runCommandArgs>
				</configuration>
				<id>get-python-version</id>
				<phase>validate</phase>
				<goals>
					<goal>run-command-in-virtual-env</goal>
				</goals>
			</execution>
		</executions>
	</plugin>

Default: None

skipPoetryLockUpdate

Typically enabled when running CI, this configuration enables skipping the update of Poetry's lock file via poetry lock. If poetry.lock does not exist, the subsequent execution of poetry install will create it regardless of this configuration. If poetry.lock has a mismatch with its pyproject.toml definition, the build will fail.

Default: false

useInProjectVirtualEnvironment

Enables Poetry's virtualenvs.in-project for this project. If configured with an existing virtual environment elsewhere, the virtual environments will be migrated to this approach during the clean phase of the build.

While generally easier to find and use for tasks like debugging, having your virtual environment co-located in your project may be less useful for executions like CI builds where you may want to centrally caches virtual environments from a central location.

Default: true

deleteVirtualEnv

Enables the explicit deletion of the virtual environment that is created/managed by Poetry.

Example usage: mvn clean -Dhabushu.deleteVirtualEnv

Default: false

skipTests

Skips running tests. Using this property is NOT RECOMMENDED but may be convenient on occasion.

Example usage: mvn clean install -Dhabushu.skipTests=true

Default: false

addPypiRepoAsPackageSources

Configures whether a private PyPi repository, if specified via pypiRepoUrl, is automatically added as a package source from which dependencies may be installed. This value is only utilized if a private PyPi repository is specified via pypiRepoUrl. Developers will typically not need to configure this property, but is made available to support the manual configuration of a custom repository in pyproject.toml if needed.

Default: true

exportRequirementsFile

Enables or disables the generation of a requirements.txt file during the package phase.

Default: true

exportRequirementsFolder

Specifies where the requirements.txt file will be generated to during the package phase.

Default: project-directory/dist to be with the generated wheels.

exportRequirementsWithUrls

Whether or not the requirements.txt file should include source repository urls.

Default: false so will not add the --without-urls flag and thus include urls

exportRequirementsWithHashes

Whether or not the requirements.txt file should include package hashes.

Default: false so will not add the --without-urls flag and thus export with hashes

skipDeploy

Skips the execution of the deploy phase and does not publish the Poetry package to the configured PyPI repository. This configuration may be useful when individual Habushu modules within a larger multi-module project hierarchy should not be published to PyPI.

Default: false

snapshotNumberDateFormatPattern

DateTimeFormatter compliant pattern that configures the numeric portion of SNAPSHOT Poetry package versions that are published to the configured PyPI repository. By default, the version of SNAPSHOT published packages align with PEP-440 developmental releases and use a numeric component that corresponds to the number of seconds since the epoch. For example, if the POM version is 1.2.3-SNAPSHOT, the package may be published by default as 1.2.3.dev1658238063. If this property is specified, the numeric component will reflect the given date format pattern applied to the current build time. For example, if YYYYMMddHHmm is provided, 1.2.3.dev202207191002 be published.

Default: Number of seconds since epoch

overridePackageVersion

Specifies whether the version of the encapsulated Poetry package should be automatically managed and overridden where necessary by Habushu. If this property is true, Habushu may override the pyproject.toml defined version in the following build phases/mojos:

  • initialize: Automatically sets the Poetry package version to the version specified in the POM. If the POM is a SNAPSHOT, the Poetry package version will be set to the corresponding developmental release version without a numeric component (i.e. POM version of 1.2.3-SNAPSHOT will result in the Poetry package version being set to 1.2.3.dev). If the version is a release candidate (rc), alpha, or beta version in SemVer 2.0 format then it is translated to the equivalent PEP 440 format.
  • compile: Automatically set up any managedDependency that is a SNAPSHOT to instead include .*. .* is used rather than .dev so the latest dev version will resolve as .dev is not a valid version. Same result as what happens in the validate step above, but operating on managedDependency entries instead. This is useful when you are working with multi-module builds where several versions are covered via managed dependencies. See managedDependencies section below for more context.
  • deploy: Automatically sets the version of published Poetry packages that are SNAPSHOT modules to timestamped developmental release versions (i.e. POM version of 1.2.3-SNAPSHOT will result in the published Poetry package version to to 1.2.3.dev1658238063). After the package is published, the version of the SNAPSHOT module is reverted to its previous value (i.e. 1.2.3.dev)

If this property is set to false, none of the above automated version management operations will be performed.

CAVEAT: If there is a ^ and/or Poetry version < 1.5.0, the substitution will be -SNAPSHOT to .dev only for backwards compatibility

Default: true

sourceDirectory

Folder in which Python source files are located - should align with Poetry's project structure conventions. Developers will typically not modify this property but is made available for customization to support unanticipated scenarios.

Default: ${project.basedir}/src

testDirectory

Folder in which Python test files are located - should align with Poetry's project structure conventions. Developers will typically not modify this property but is made available for customization to support unanticipated scenarios.

Default: ${project.basedir}/tests

cacheWheels

Enables or Disables the copying of wheels into Poetry cache.

Default: false

wheelDependencies

Optional set of wheel dependencies to retrieve from poetry cache. This allows previously cached external wheel dependencies to be copied into a given target directory if it exists in poetry cache. This logic depends on wheels to have first been cached by cacheWheels habushu-maven-plugin configuration and executes during the VALIDATE maven phase. Warnings will be logged if the specified wheel isn't found.

<plugin>
	<groupId>org.technologybrewery.habushu</groupId>
	<artifactId>habushu-maven-plugin</artifactId>
	...
	<configuration>
		<wheelDependencies>
			<wheelDependency>
				<artifactId>foundation-core-python</artifactId>
				<targetDirectory>${project.build.directory}</targetDirectory>
			</wheelDependency>
		</wheelDependencies>
		...
	</configuration>
</plugin>

managedDependencies

Optional set of dependencies to manage across modules extending a parent pom. This allows packages to be managed to a specific version, which is often useful to ensure that information assurance patches, common versions, etc. are enforced across a series of modules. Can be used with the next several variables to control automatic update, logging, or failing the build when mismatches are found between the managed dependency operator/version and what is currently specified. Looks at dependencies in [tool.poetry.dependencies], [tool.poetry.dev-dependencies], and any [tool.poetry.group.<subgroup>] of your pyproject.toml.

<plugin>
	<groupId>org.technologybrewery.habushu</groupId>
	<artifactId>habushu-maven-plugin</artifactId>
	...
	<configuration>
		<managedDependencies>
			<packageDefinition>
				<packageName>black</packageName>
				<operatorAndVersion>^23.3.0</operatorAndVersion>
				<!-- 
				  Active defaults to true, but can be used to overriden in child pom.xml files to remove or add 
				  managed dependencies at each level: 
				  -->
				<active>true</active>
			</packageDefinition>
            <packageDefinition>
				<packageName>some-local-module</packageName>
				<!-- 
				  Will follow rules in overridePackageVersion:compile to 
				  update to a final version of 1.2.3.* to resolve 1.2.3.dev versions 
				  UNLESS there is a ^ or Poetry version < 1.5.0
				  -->
				<operatorAndVersion>1.2.3-SNAPSHOT</operatorAndVersion>	              
			</packageDefinition>
		</managedDependencies>
		...
	</configuration>
</plugin>

updateManagedDependenciesWhenFound

Determines if managed dependency mismatches are automatically updated when encountered.

Default: true

failOnManagedDependenciesMismatches

Determines if the build should be failed when managed dependency mismatches are found.

Default: false

mavenArtifactFile

Location of the artifact that will be published for this module. Maven wants to install an artifact with the pom file. Habushu is really just interested in publishing the pom file for Maven Reactor use, but pushing an artifact makes this process more smooth. This parameter can be updated to customize the artifact used. A placeholder file is explicitly used as the default to prevent confusion if we published a real artifact (e.g., wheel file) that would never be used in normal circumstances.

Default: ${project.basedir}/target/habushu.placeholder.txt

distDirectory

Controls where the clean plugin will delete dist artifacts.

Default: ${project.basedir}/dist

targetDirectory

Controls where the clean plugin will delete target artifacts.

Default: ${project.basedir}/target

exportRequirementsWithoutPathDependencies

Controls whether locally pathed dependencies should be excluded from the requirements.txt export file.

Default: true

outputCucumberStyleTestReports

Controls whether the Behave testing framework should export a cucumber.json and corresponding Cucumber-style HTML report instead of the default test output format.

Default: true

omitSkippedTests

Controls whether skipped tests should be completely omitted from test reports rather than showing up as a skip / failure. This mimics the default behavior of Cucumber and will have no effect if outputCucumberStyleTestReports is not set to true

Default: true

lintSource

Controls if linting is enabled for the source module.

Default: true

sourceLintDisabledChecker

Controls the disabled checkers for linting in the source module. By default, checks for Convention (C), Refactor (R), and Warning (W) are disabled.

Default: C,R,W

sourceLintEnabledChecker

Controls the enabled checkers for linting in the source module.

sourceFailOnLintErrors

Controls whether the build will continue if lint identifies code that violate checkers in the source module.

Default: true

lintTest

Controls if linting is enabled for the test module.

Default: true

testLintDisabledChecker

Controls the disabled checkers for linting in the test module. By default, checks for Convention (C), Refactor (R), Warning (W), and function-redefined error (E0102) are disabled.

Default: C,R,W,E0102

testLintEnabledChecker

Controls the enabled checkers for linting in the test module.

testFailOnLintErrors

Controls whether the build will continue if lint identifies code that violate checkers in the test module.

Default: true

The Habushu Build Lifecycle

Habushu applies a custom Maven lifecycle that binds Poetry-based DevSecOps workflow commands to the following phases:

validate

Ensures that necessary required tools are installed, specifically Pyenv, Poetry, and any needed Poetry plugins. Additionally, if usePyenv is enabled, Pyenv will install/configure the specified version of Python to be used in all downstream Python/Poetry operations.

initialize

Configures the build state needed by Habushu, ensures that the current project is a Poetry project and initializes and aligns POM and pyproject.toml versions. If configured via overridePackageVersion, automatically syncs the Poetry project version with the appropriate version that is derived from the Habushu module's POM.

compile

Installs dependencies defined in the project's pyproject.toml configuration, specifically by running poetry lock followed by poetry install. If a private PyPi repository is defined via pypiRepoUrl, it will be automatically added to the module's pyproject.toml configuration as a supplemental source of dependencies, if it is not already configured in the pyproject.toml

process-classes

Leverages the black formatter package to format both source and test Python directories via poetry run.

test

Uses behave to execute BDD scenarios that are defined in tests/features. By default, as per behaveExcludeManualTag, features/scenarios tagged with @manual are skipped.

package

Builds the sdist and wheel archives of this project using poetry build. It also generates a requirements.txt file which is useful when installing the package in a Docker container where you may want to install the dependencies in a specific Docker layer to optimize caching.

install

Publishes the pom.xml for the module into your local Maven Repository (~/.m2/repository). If the cacheWheels configuration is set to True, the wheel archive will be copied to the poetry cache directory (~/{poetry-cache-dir}/cache/repositories/wheels/{artifact-id}/). The cacheWheels configuration default behavior is not to cache the wheel archive. If the wheelDependencies list is set, each specified wheel dependency will be retrieve and placed into the given target directory.

deploy

Publishes the generated package archives to the specified PyPI repository (defined via pypiRepoId and pypiRepoUrl).
If the current Habushu module is a SNAPSHOT version, temporarily set the version of the package to the appropriate developmental version, publish it to the specified PyPI repository, and then reset the version to the original value.

Also publishes the pom.xml for the module into the configured Maven Repository.

clean

Deletes the folder in which archives generated by the package phase are placed (dist) and if deleteVirtualEnv is set to true, deletes the project's virtual environment.

Maven Reactor Integration

Optionally, Habushu supports partial builds via the Maven Reactor. This allows functionality such as -rf (resume from) by publishing Habushu POM files as part of the standard Maven install and deploy lifecylces. No artifacts (e.g., wheel files) are managed by Maven - those are solely handled via normal PyPI lookups. To leverage this functionality, add in Habushu dependencies in your project's pom.xml. You can find an example in habushu-mixology-consumer/pom.xml where it references a dependency to habushu-mixology for Maven Reactor benefits.

Common Issues

Pyenv/Poetry Not Installed

Pyenv is utilized to install and use the specified version of Python, while Poetry (which uses the Pyenv-managed version of Python) is utilized for all underlying build commands. Both Pyenv and Poetry MUST be installed. If you encounter an error indicating that either tool is not installed or on the PATH, you will be prompted with installation guidance.

Plugin Does Not Yet Exist

If you encounter the following error, please see the "Building Habushu" section for details on how to use the bootstrap profile to appropriately build the habushu-maven-plugin and its associated custom Maven lifecycle. This error will typically only occur when attempting to use an in-flight SNAPSHOT version of Habushu that is not yet published to the Maven Central repository.

[WARNING] The POM for org.technologybrewery.habushu:habushu-maven-plugin:jar:0.0.1-SNAPSHOT is missing, no dependency information available
[ERROR] [ERROR] Some problems were encountered while processing the POMs:
[ERROR] Unresolveable build extension: Plugin org.technologybrewery.habushu:habushu-maven-plugin:0.0.1-SNAPSHOT or one of its dependencies could not be resolved: Could not find artifact org.technologybrewery.habushu:habushu-maven-plugin:jar:0.0.1-SNAPSHOT @ 
[ERROR] Unknown packaging: habushu @ line 15, column 13

Building Habushu

If you are working on Habushu, please be aware of some nuances in working with a plugin that defines a custom Maven build lifecycle and packaging. habushu-mixology and habushu-mixology-consumer are utilized to immediately test the habushu-maven-plugin and associated habushu lifecycle. If the habushu-maven-plugin has not been previously built or there are unbuilt changes to the habusu lifecycle, developers must manually build the habushu-maven-plugin and then execute another, separate build of habushu-mixology (and any other habushu module) to use the updated habushu-maven-plugin and habushu lifecycle. Developers are not able to build updates to the habushu lifecycle and test their application in habushu-mixology within the same build. That said, if developers do not update the habushu lifecycle and simply make updates to existing Mojos defined in the habushu-maven-plugin, a single build may be used to build habushu-maven-plugin and apply the updates to habushu-mixology. To assist, there are two profiles available in the build:

  • mvn clean install -Pbootstrap: Builds the habushu-maven-plugin such that the custom habushu lifecycle may be utilized within subsequent builds.
    • NOTE: If updates are made to the habushu lifecycle (i.e. updates to the habushu lifecycle mapping configuration made in habushu-maven-plugin/src/main/resources/META-INF/plexus/components.xml), developers MUST changes require two builds to test - one to build the lifecycle, then a second to use that updated lifecycle. Code changes to Mojo classes within the existing habushu lifecycle work via normal builds without the need for a second pass.
  • mvn clean install -Pdefault: (ACTIVE BY DEFAULT - -Pdefault does not need to be specified) builds all modules. Developers may use this profile to build and apply changes to existing habushu-maven-plugin Mojo classes

About

In Maven, Habushu allows virtual environment-based Python projects to be included as part a Maven build. This brings some order and consistency to what can otherwise be haphazardly structured projects.

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