CHANGELOG.md

[2.6.4] 2024-01-09

Fixes

• Dependencies updates:
  • pandas -> == 1.3.4

[2.6.3] 2021-02-25

Changes

• Dependencies updates:
  • numpy -> >= 1.19

[2.6.2] 2021-02-25

Changes

• Dependencies updates:
  • slackclient -> 2.9.3
  • numpy -> >= 1.20.1
  • pandas -> >=1.2.2
  • dask[complete] -> 2021.2.0
  • pyarrow -> >= 2.0.0

[2.5.0] 2020-02-14

Changes

• Dependencies updates:
  • slackclient -> 2.5.0
  • numpy -> 1.18.1
  • pandas -> 1.0.1
  • dask[complete] -> 2.10.1
  • pyarrow -> 0.16.0

[2.4.0] 2019-05-18

Changes

• Dependencies updates:
  • pyarrow -> 0.15.1 #172
  • numpy -> 1.17.4 #173
  • pandas -> 0.25.3 #171
  • dask -> 2.8.0 #175

[2.3.2] 2019-05-18

Fixes

• Locks pyarrow to 0.12.0 to avoid segfault as described in pytorch/pytorch#13039 (comment)

[2.3.1] 2019-05-18

Fixes

• Fixes kwargs passed along to pyarrow/fastparquet engines in read_df_parquet and read_ddf_parquet
• Updates write_df_parquet and write_ddf_parquet to handle fastparquet engine

[2.3.0] 2019-05-18

Changes

• read_df_parquet and read_ddf_parquet now take optional engine argument to allow to use pyarrow or fastparquet engines for reading parquet files.

[2.2.0] 2019-05-06

Changes

• Updates slackclient dependency to 2.0.1 and handles migration of api to v2 (https://github.com/slackapi/python-slackclient/wiki/Migrating-to-2.x)

[2.1.1] 2019-04-07

Changes

• Updates requirements for pandas, numpy, dask, and pyarrow

[2.1.0] 2019-01-18

Changes

• Updates requirements for pandas, numpy, scikit-learn, and pyarrow

[2.0.0] 2018-11-10

Changed

• Updates pyarrow requirement to 0.11
• Changes nthreads in read_df_parquet to use_threads to match https://arrow.apache.org/docs/python/generated/pyarrow.parquet.ParquetFile.html#pyarrow.parquet.ParquetFile.read

[1.4.1] 2018-01-15

Changed

• SDLog logs traceback up to 10 levels deep as text to Slack.

[1.4.0] 2018-01-15

Changed

• SDLog will now also log error traceback to Slack (before it was only the type and the value).

[1.3.1] 2018-01-15

Changed

• Updated pandas, dask, and numpy versions.

[1.3.0] 2018-01-15

Added

• SDLog now uses a class log_message method to log -- this now supports a custom logging interface by inheriting from SDLog or replacing log_message in an application.

class MyTestLogger(SDLog):
    @classmethod
    def log_message(cls, message: str, **kwargs):
        print('SPECIAL LOGGER', message)

This class will print 'SPECIAL LOGGER' before all messages, but otherwise act the same as the normal SDLog. As another example, the log_message method could connect to and log to a database for non-console-based logging.