feat: add dbt manifest parsing

[florian-drouet]

No description provided.

[Copilot]

Pull Request Overview

Adds support for parsing and caching a dbt manifest to enhance the accuracy of Tableau SQL reports by filtering columns based on your dbt models.

• Introduces a manifest cache resolver in utils.py for adding, replacing, or deleting a manifest.json
• Implements DbtManifestParser to extract table names from a dbt manifest and integrates it into TableauWorkbook
• Filters reported columns in OutputFormatting by the cached dbt table names

Reviewed Changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
tableau_sql_parser/utils.py	New resolve_manifest_path function for caching manifest
tableau_sql_parser/tableau_workbook.py	Accepts manifest_path, invokes DbtManifestParser
tableau_sql_parser/output_formatting.py	Adds filter_dbt_manifest and filters columns by manifest
tableau_sql_parser/dbt_manifest_parser.py	New parser class extracting dbt model/source names
tableau_sql_parser/cli.py	Hooks up manifest resolution and passes path to workbook
tableau_sql_parser/init.py	Defines APP_NAME and CACHE_FILENAME constants
pyproject.toml	Version bumped to 0.3.1
README.md	Instructions for using the manifest cache

Comments suppressed due to low confidence (2)

tableau_sql_parser/tableau_workbook.py:25

• The code uses os.path.normpath but os is not imported in this file. Add import os at the top to avoid a NameError.

self.filename = os.path.normpath(filename)

tableau_sql_parser/dbt_manifest_parser.py:5

• There are no unit tests covering DbtManifestParser behaviors (loading, extraction of nodes/sources). Adding tests for both valid and missing manifest scenarios would improve confidence.

class DbtManifestParser: