Great-expectations

Latest version: v0.18.12

Safety actively analyzes 621983 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 35 of 40

0.8.8

* Add support for allow_relative_error to expect_column_quantile_values_to_be_between, allowing Redshift users access to this expectation
* Add support for checking backend type information for datetime columns using expect_column_min_to_be_between and expect_column_max_to_be_between

0.8.7

* Add support for expect_column_values_to_be_of_type for BigQuery backend (940)
* Add image CDN for community usage stats
* Documentation improvements and fixes

0.8.6

* Raise informative error if config variables are declared but unavailable
* Update ExpectationsStore defaults to be consistent across all FixedLengthTupleStoreBackend objects
* Add support for setting spark_options via SparkDFDatasource
* Include tail_weights by default when using build_continuous_partition_object
* Fix Redshift quantiles computation and type detection
* Allow boto3 options to be configured (887)

0.8.5

* BREAKING CHANGE: move all reader options from the top-level batch_kwargs object to a sub-dictionary called
"reader_options" for SparkDFDatasource and PandasDatasource. This means it is no longer possible to specify
supplemental reader-specific options at the top-level of `get_batch`, `yield_batch_kwargs` or `build_batch_kwargs`
calls, and instead, you must explicitly specify that they are reader_options, e.g. by a call such as:
`context.yield_batch_kwargs(data_asset_name, reader_options={'encoding': 'utf-8'})`.
* BREAKING CHANGE: move all query_params from the top-level batch_kwargs object to a sub-dictionary called
"query_params" for SqlAlchemyDatasource. This means it is no longer possible to specify supplemental query_params at
the top-level of `get_batch`, `yield_batch_kwargs` or `build_batch_kwargs`
calls, and instead, you must explicitly specify that they are query_params, e.g. by a call such as:
`context.yield_batch_kwargs(data_asset_name, query_params={'schema': 'foo'})`.
* Add support for filtering validation result suites and validation result pages to show only failed expectations in
generated documentation
* Add support for limit parameter to batch_kwargs for all datasources: Pandas, SqlAlchemy, and SparkDF; add support
to generators to support building batch_kwargs with limits specified.
* Include raw_query and query_params in query_generator batch_kwargs
* Rename generator keyword arguments from data_asset_name to generator_asset to avoid ambiguity with normalized names
* Consistently migrate timestamp from batch_kwargs to batch_id
* Include batch_id in validation results
* Fix issue where batch_id was not included in some generated datasets
* Fix rendering issue with expect_table_columns_to_match_ordered_list expectation
* Add support for GCP, including BigQuery and GCS
* Add support to S3 generator for retrieving directories by specifying the `directory_assets` configuration
* Fix warning regarding implicit class_name during init flow
* Expose build_generator API publicly on datasources
* Allow configuration of known extensions and return more informative message when SubdirReaderGenerator cannot find
relevant files.
* Add support for allow_relative_error on internal dataset quantile functions, and add support for
build_continuous_partition_objec in Redshift
* Fix truncated scroll bars in value_counts graphs

0.8.4

* Improved the tutorials that walk new users through the process of creating expectations and validating data
* Changed the flow of the init command - now it creates the scaffolding of the project and adds a datasource. After that users can choose their path.
* Added a component with links to useful tutorials to the index page of the Data Docs website
* Improved the UX of adding a SQL datasource in the CLI - now the CLI asks for specific credentials for Postgres, MySQL, Redshift and Snowflake, allows continuing debugging in the config file and has better error messages
* Added batch_kwargs information to DataDocs validation results
* Fixed an issue affecting file stores on Windows

0.8.3

* Fix a bug in data-docs' rendering of mostly parameter
* Correct wording for expect_column_proportion_of_unique_values_to_be_between
* Set charset and meta tags to avoid unicode decode error in some browser/backend configurations
* Improve formatting of empirical histograms in validation result data docs
* Add support for using environment variables in `config_variables_file_path`
* Documentation improvements and corrections

Page 35 of 40

Links

Releases

Has known vulnerabilities

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.