Comments (6)
One question here, we tend to do the breaking change later in develop
to avoid the code diverge too much. At the same time should we add the deprecated
warnings earlier in 0.19 to inform user?
This is not important for this particular issue, because I think no one use it (hopefully), but it is a valid question for what should we do in general?
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should we add the deprecated warnings earlier in 0.19 to inform user?
Yes
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from kedro.
I'd say let's rename this ticket to "Deprecate get_pkg_version
" and groom it
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Actually the tests are obsoleted and we should remove it altogether class TestCliUtils
in test_cli.py
.
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Funny bit of insight found in the source code of kedro-mlflow
:
# if it is a local relative path, make it absolute
# .resolve() does not work well on windows
# .absolute is undocumented and have known bugs
# Path.cwd() / uri is the recommend way by core developpers.
# See : https://discuss.python.org/t/pathlib-absolute-vs-resolve/2573/6
Not sure how up to date it is though (the thread is from 2019).
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Related Issues (20)
- [DataCatalog]: Simplify the way to access catalog HOT 3
- [DataCatalog]: Refactor dataset factory resolution logic
- [DataCatalog]: Enhance `_FrozenDatasets` public API
- `kedro new` generate weird `settings.py` file HOT 1
- [DataCatalog]: Improve the way to access namespaced datasets with `_FrozenDataset` API
- Access dataset filepath via public API for file-backed datasets
- [DataCatalog]: Provide public methods to modify catalog HOT 1
- [DataCatalog]: Revise methods and properties names for `DataCatalog`
- [DataCatalog]: Catalog serialization and deserialization support HOT 1
- Conduct market research on versioning
- Research summary of insights for redesigning Kedro's data catalog API HOT 1
- [DataCatalog]: Lazy dataset loading
- View `dataset` public properties HOT 1
- Query endpoint for `SnowparkTableDataset`
- [DataCatalog]: Hard to to manage large catalogs
- [DataCatalog]: Interface to request specific properties from catalog and datasets
- Simplify setting credentials when switching between different environments HOT 1
- [DataCatalog]: Make catalog a standalone package
- [DataCatalog]: Convert between dataset formats at the catalog level
- [DataCatalog]: Add a data schema evaluation mechanism
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