v0.26.0

• Added migration for Python linters from ast (standard library) to astroid package (#1835). In this release, the Python linters have been migrated from the ast package in the standard library to the astroid package, version 3.2.2 or higher, with minimal inference implementation. This change includes updates to the pyproject.toml file to include astroid as a dependency and bump the version of pylint. No changes have been made to user documentation, CLI commands, workflows, or tables. Testing has been conducted through the addition of unit tests. This update aims to improve the functionality and accuracy of the Python linters.
• Added workflow linter for delta live tables task (#1825). In this release, there are updates to the _register_pipeline_task method in the jobs.py file. The method now checks for the existence of the pipeline and its libraries, and registers each notebook or jar library found in the pipeline as a task. If the library is a Maven or file type, it will raise a DependencyProblem as it is not yet implemented. Additionally, new functions and tests have been added to improve the quality and functionality of the project, including a workflow linter for Delta Live Tables (DLT) tasks and a linter that checks for issues with specified DLT tasks. A new method, test_workflow_linter_dlt_pipeline_task, has been added to test the workflow linter for DLT tasks, verifying the correct creation and functioning of the pipeline task and checking the building of the dependency graph for the task. These changes enhance the project's ability to ensure the proper configuration and correctness of DLT tasks and prevent potential issues.
• Consistent 0-based line tracking for linters (#1855). 0-based line tracking has been consistently implemented for linters in various files and methods throughout the project, addressing issue #1855. This change includes removing direct filesystem references in favor of using the Unity Catalog for table migration and format changes. It also updates comments and warnings to improve clarity and consistency. In particular, the spark-table.py file has been updated to ensure that the spark.log.level is set correctly for UC Shared Clusters, and that the Spark Driver JVM is no longer accessed directly. The new file, simple_notebook.py, demonstrates the consistent line tracking for linters across different cell types, such as Python, Markdown, SQL, Scala, Shell, Pip, and Python (with magic commands). These changes aim to improve the accuracy and reliability of linters, making the codebase more maintainable and adaptable.

Dependency updates:

• Updated sqlglot requirement from <24.2,>=23.9 to >=23.9,<25.1 (#1856).

Contributors: @ericvergnaud, @JCZuurmond, @FastLee, @pritishpai, @dependabot[bot], @asnare