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Add a pre-commit hook for running black
and pylint
#5019
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Signed-off-by: harupy <hkawamura0130@gmail.com>
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if [ ! -z "$diff" ]; then | ||
black --check $diff | ||
pylint $diff |
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Only check the changed files to save the execution time.
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This hook can be enabled via:
git config core.hooksPath hooks
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It would be nice to also update https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.rst#common-prerequisites-and-dependencies
For convenience, we provide a pre-commit git hook that validates that commits are signed-off.
to
For convenience, we provide a pre-commit git hook that validates that commits are signed-off, auto-formats the code, and runs pylint.
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Sounds good!
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Updated!
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Only one question about the file name:
Currently, the two files in hooks/
are named as pre-commit
and prepare-commit-msg
, which are not directly reflecting their functions. Shall we rename them to autoformat-and-check-lint
and check-sign-off
? Or something similar?
Good point, but |
Signed-off-by: harupy <hkawamura0130@gmail.com>
Signed-off-by: harupy <hkawamura0130@gmail.com>
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LGTM. Thanks!
Signed-off-by: harupy hkawamura0130@gmail.com
What changes are proposed in this pull request?
Add a pre-commit hook for running
black
andpylint
to avoid re-running CI just to fix lint errors.How is this patch tested?
Release Notes
Is this a user-facing change?
(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/docs
: MLflow documentation pagesarea/examples
: Example codearea/model-registry
: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models
: MLmodel format, model serialization/deserialization, flavorsarea/projects
: MLproject format, project running backendsarea/scoring
: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra
: MLflow Tracking server backendarea/tracking
: Tracking Service, tracking client APIs, autologgingInterface
area/uiux
: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker
: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy
: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows
: Windows supportLanguage
language/r
: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesIntegrations
integrations/azure
: Azure and Azure ML integrationsintegrations/sagemaker
: SageMaker integrationsintegrations/databricks
: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/breaking-change
- The PR will be mentioned in the "Breaking Changes" sectionrn/none
- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/feature
- A new user-facing feature worth mentioning in the release notesrn/bug-fix
- A user-facing bug fix worth mentioning in the release notesrn/documentation
- A user-facing documentation change worth mentioning in the release notes