Fix _use_repl_context_if_available to return original function result when get_context returns None#5194
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Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
_use_repl_context_if_available to original function result when get_context returns None _use_repl_context_if_available to return original function result when get_context returns None
harupy
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Dec 23, 2021
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| return f(*args, **kwargs) | ||
| pass | ||
| return f(*args, **kwargs) |
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The original code:
def decorator(f):
@functools.wraps(f)
def wrapper(*args, **kwargs):
try:
from dbruntime.databricks_repl_context import get_context
# We initialize the REPL context using a pre-command hook.
# If the pre-commnad hook is not called, `context` remains `None`.
context = get_context()
if context is not None and hasattr(context, name):
return getattr(context, name)
except Exception:
# This line is called only when we encounter an exception
# in the try clause.
return f(*args, **kwargs)
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Signed-off-by: harupy 17039389+harupy@users.noreply.github.com
What changes are proposed in this pull request?
Fix
_use_repl_context_if_availableto original function result whenget_contextreturns None.How is this patch tested?
Unit tests
Does this PR change the documentation?
ci/circleci: build_doccheck. If it's successful, proceed to thenext step, otherwise fix it.
Detailson the right to open the job page of CircleCI.Artifactstab.docs/build/html/index.html.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