databrickslabs / dbldatagen

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
https://databrickslabs.github.io/dbldatagen
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added prospector lint checking to build process #174

Closed ronanstokes-db closed 1 year ago

ronanstokes-db commented 1 year ago

Proposed changes

added use of prospector to build process

Types of changes

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Checklist

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codecov[bot] commented 1 year ago

Codecov Report

Merging #174 (914c3f5) into master (d5ddb8e) will increase coverage by 0.39%. The diff coverage is 91.66%.

@@            Coverage Diff             @@
##           master     #174      +/-   ##
==========================================
+ Coverage   90.34%   90.74%   +0.39%     
==========================================
  Files          22       22              
  Lines        2517     2517              
  Branches      417      417              
==========================================
+ Hits         2274     2284      +10     
+ Misses        158      150       -8     
+ Partials       85       83       -2     
Impacted Files Coverage Δ
dbldatagen/__init__.py 90.90% <ø> (ø)
dbldatagen/_version.py 100.00% <ø> (ø)
dbldatagen/text_generator_plugins.py 73.98% <50.00%> (ø)
dbldatagen/column_generation_spec.py 88.02% <100.00%> (ø)
dbldatagen/column_spec_options.py 96.96% <100.00%> (ø)
dbldatagen/data_generator.py 84.69% <100.00%> (ø)
...ldatagen/distributions/exponential_distribution.py 100.00% <100.00%> (ø)
dbldatagen/distributions/normal_distribution.py 100.00% <100.00%> (ø)
dbldatagen/schema_parser.py 97.68% <100.00%> (ø)
dbldatagen/text_generators.py 96.83% <100.00%> (ø)
... and 1 more

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