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dbt-codegen v0.12.0-b1

What's Changed

Features

  • generate_model_yaml with upstream_descriptions=True now reads from upstream sources in addition to models.(#112)[#112]
  • generate_source now has options for case sensitivity in all fields (#112

Fixes

  • Column description fields are now correctly escaped in generate_model_yaml (#142)

Docs

  • Fixed generate_source documentation
  • Rewrote the contributor README at integration_tests/README.md

New Contributors

  • @wircho made their first contribution in #159
  • @yatsky made their first contribution in #164
  • @pnadolny made their first contribution in #168
  • @esegal made their first contribution in #154
  • @gwenwindflower made their first contribution in #163

Full Changelog: https://github.com/dbt-labs/dbt-codegen/compare/0.11.0...0.12.0-b1

New features

dbt-codegen v0.11.0

🚨 Breaking change

include_data_types parameter added to generate_model_yaml and behavior changed for generate_source. Both default to true and are lowercase to align with the dbt style guide. Scale & precision are not included. Previous logic for generate_source defaulted to false and the resulting data types were uppercase and included scale & precision (#122).

Dispatch can be used to utilize the column data type formatting of previous versions. Namely, by adding this macro to your project:

{% macro default__data_type_format_source(column) %}
    {{ return(column.data_type | upper) }}
{% endmacro %}

And then adding this within dbt_project.yml:

dispatch:
  - macro_namespace: codegen
    search_order: ["my_project", "codegen"]

What's Changed

  • GitHub Action to add/remove triage labels as-needed by @dbeatty10 in #133
  • GitHub Action to close issues as stale as-needed by @dbeatty10 in #134
  • Update README.md by @cohms in #129
  • Remove hard-coded values for database and schema by @dbeatty10 in #139
  • Instructions for the release process by @dbeatty10 in #137
  • Add include_data_types argument to generate_model_yaml macro by @linbug in #122

New Contributors

  • @cohms made their first contribution in #129
  • @linbug made their first contribution in #122

Full Changelog: https://github.com/dbt-labs/dbt-codegen/compare/0.10.0...v0.10.0

dbt-codegen v0.10.0

What's Changed

  • added comments to verbose regex in generate_model_import_ctes by @graciegoheen in #93
  • Feature/hackathon model generator by @fivetran-joemarkiewicz in #83
  • Suggestion to include packages.yml example in README.md by @Maayan-s in #77
  • Add include_data_types flag to generate_source macro by @GSokol in #76
  • Expected result of nested struct in BigQuery by @dbeatty10 in #105
  • issue106/get_models helper macro by @erkanncelen in #115
  • Feat/generate sources add database and schema by @jeremyholtzman in #124

New Contributors

  • @fivetran-joemarkiewicz made their first contribution in #83
  • @Maayan-s made their first contribution in #77
  • @GSokol made their first contribution in #76
  • @erkanncelen made their first contribution in #115
  • @jeremyholtzman made their first contribution in #124

Full Changelog: https://github.com/dbt-labs/dbt-codegen/compare/0.9.0...0.10.0

dbt-codegen v0.9.0

dbt-codegen v0.8.1

dbt-codegen v0.8.0

Unreleased

Breaking changes

New features

Quality of life

  • Now uses print instead of log to output the generated text into the console. This enables you to invoke dbt with the --quiet flag and directly pipe the codegen output into a new file, ending up with valid yaml

Under the hood

Contributors:

dbt-codegen v0.7.0

🚨 Breaking change

  • Add support for including description placeholders for the source and table, which changes the behavior of generate_source when include_descriptions is set to True. Previous logic only created description placeholders for the columns (#64, #66)

New features

  • Add optional table_names arg to generate_source (#50, #51)
  • Add support for importing descriptions from columns with the same names in upstream models. It is available by setting the parameter upstream_descriptions to True in generate_model_yaml (#61)
  • Added case_sensitive_cols argument to generate_base_model macro (#63)
  • Add optional name arg to generate_source (#64, #66)

Fixes

  • generate_model_yaml now correctly handles nested STRUCT fields in BigQuery (#27, #54)

Contributors:

dbt-codegen v0.6.0

This release creates breaking changes to the generate_source.sql macro.

Features

  • add optional table_pattern argument to generate_source.sql macro. Default value is '%' to pull all tables in the raw data schema to preserve existing behavior if the table_pattern argument is not specified by the user.

dbt-codegen v0.5.0

This release supports any version (minor and patch) of v1, which means far less need for compatibility releases in the future.

Under the hood

  • Change require-dbt-version to [">=1.0.0", "<2.0.0"]
  • Bump dbt-utils dependency
  • Replace source-paths and data-paths with model-paths and seed-paths respectively
  • Rename data and analysis directories to seeds and analyses respectively
  • Replace dbt_modules with dbt_packages in clean-targets

dbt-codegen v0.4.1

🚨 This is a compatibility release in preparation for dbt-core v1.0.0 (🎉). Projects using this version with dbt-core v1.0.x can expect to see a deprecation warning. This will be resolved in the next minor release.

dbt-codegen v0.4.0

Breaking changes

  • Requires dbt>=0.20.0 and dbt-utils>=0.7.0
  • Depends on dbt-labs/dbt_utils (instead of fishtown-analytics/dbt_utils)

Features

  • Add optional leading_commas arg to generate_base_model (#41 @jaypeedevlin)
  • Add optional include_descriptions arg to generate_source (#40 @djbelknapdbs)

Fixes

  • In the generate_source macro, use dbt_utils.get_relations_by_pattern instead of get_relations_by_prefix, since the latter will be deprecated in the future (#42)

Under the hood

  • Use new adapter.dispatch syntax (#44)

dbt-codegen v0.3.2

This is a quality of life release

Other

  • Fix rendering issues on hub.getdbt.com
  • Fix integration tests due to python version compatibility

dbt-codegen v0.3.1

This is a bugfix release

Fixes

  • Use latest version of dbt-utils (0.6.2) to ensure generate_source_yaml works for non-target schemata (#34)

dbt-codegen v0.3.0

🚨 Breaking change

This release requires dbt v0.18.0, and dbt-utils v0.6.1. If you're not ready to upgrade, consider using a previous release of this package.

Quality of life

  • Use dbt v0.18.0 (#31)
  • Fix README rendering on hub (#32 @calvingiles)

dbt-codegen v0.2.0

🚨 Breaking change

The lower bound of dbt-utils is now 0.4.0.

This won't affect most users, since you're likely already using version of dbt-utils higher than this to achieve 0.17.0 compatibility.

Quality of life:

  • Change dbt-utils dependencies to [>=0.4.0, <0.6.0] (#29)
  • Fix tests (#29)

dbt-codegen v0.1.0

🚨 Breaking change!

This package now requires dbt v0.17.x!

Features:

  • Add generate_model_yaml (#18 @jtalmi)

Under the hood:

  • Update to v0.17.0, including dbt_project.yml version 2 syntax (#23)
  • Add GitHub templates and installation instructions (#23)

Acknowledgements

@marzaccaro made a PR for generate_model_yaml, and, although I had reviewed it, I let the PR go stale and somehow completely forgot about it when merging PR #18 — this is completely my bad! So equal credit to @marzaccaro and @jtalmi for their work 👏

dbt-codegen v0.0.4

This is a bugfix release to improve compatibility with Snowflake

dbt-codegen v0.0.3

Bump utils version range

dbt-codegen v0.0.2

Small quality of life improvements

dbt-codegen v0.0.1

Initial release