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Pemi Changelog

0.5.11

  • Resolves some compatibility issues with Pandas 1.1

0.5.10

  • Removes pandas.util.testing deprecation warning.
  • Fixes an issue with coloring graphs in JupyterLab.

0.5.9

  • Treats certain values (like "nan", "none", "nat", "null") as blanks when coercing Date and DateTime fields.

0.5.8

  • Allows target_matches_example to accept a query parameter, which will filter result sets before comparing with the example data.

v0.5.7

  • Add columns to empty remainders of PdForkPipe.
  • Resolves a bug where tests using SaDataSubjects were falsely passing the target_has_fields test.

v0.5.6

  • Reverted creating a parent_pipe reference, which was causing pickling issues.

v0.5.5

  • Raise an exception if duplicate case/scenario names are used
  • New option for data subject connections that will raise an error if schemas fields don't match up with dataframe fields.
  • Allow embedded # in data tables

v0.5.4

  • Resolves an issue pickling Pemi fields.

v0.5.3

  • Improved pipe connection graphing.
  • Source has(have) value(s) will now coerce values according to the field types before sending data to pipe to be tested. This may result in some tests that falsely pass to now start raising errors.
  • Fixed a pytest warning error following pytest upgrade.

v0.5.2

  • Relaxes some packages requirements.

v0.5.1

  • Decimal faker now honors precision/scale when faking data.

v0.5.0

  • BREAKING Substantial refactoring of the way that test scenarios are configured. See docs for details.

v0.4.3

  • Adds PemiTabular methods that will create an HTML file when tests fail. This can help with debugging failed tests.

v0.4.0

  • BREAKING Allows one to make more natural connections to nested pipes. The sources of a pipe can now be connected to the sources of nested pipes and the targets of nested pipes can now be connected to the targets of the parent pipe. This will break code that has workarounds for this issue.
  • Prevents Pandas from raising a warning when concatenating CSV files

v0.3.2.1

  • pemi.transforms.isblank now treats pandas.NaT as blank

v0.3.2

  • pemi.transforms.isblank no longer raises an error when given an array or dict with more than 1 element.

v0.3.1

  • Allow CSV and SqlAlchemy pipes to work without defining a Pemi schema

v0.3.0

  • Removed fake_with option when constructing test data tables. Custom data fakers should now be specified in schema field metadata field faker, which expects a function that when called will return faked data.
  • Replaced internal pd_mapper with pandas-mapper package. Users will have to migrate to pandas-mapper if they were using PdMapper/PdMap functionality in Pemi.
  • Removed support for allow_null metadata. Never used in production.
  • Upgraded many package dependencies.
  • Removed various unused features.