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Bugfix/increase width of dropdown in runs table filter #4990
Bugfix/increase width of dropdown in runs table filter #4990
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Signed-off-by: Karan Gupta <guptakaran725@gmail.com>
…lflow Signed-off-by: Karan Gupta <guptakaran725@gmail.com>
@@ -373,7 +373,7 @@ span.error-message { | |||
} | |||
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.ExperimentView .sort-select { | |||
width: 200px; | |||
width: 300px; |
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Is it possible to dynamically size this according to the contents?
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I will take a look if it is possible to dynamically size this.
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@dbczumar Kindly take a look at the latest commits for dynamic width sizing and let me know if this looks good.
Signed-off-by: Karan Gupta <guptakaran725@gmail.com>
@coder-freestyle Closing as a duplicate of #5018 now that #5018 has been approved. I'll absolutely make sure you're included in the release note attribution for this feature! Thank you for your contribution! |
Thanks for the guidance @dbczumar. Happy to help to the project 😃 |
What changes are proposed in this pull request?
Increase the width of the dropdown so that sort by options do not get truncated in case of long names #4822
How is this patch tested?
Ran the unit tests using pytest
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