feat(utils): implement LakeFileSystem for data lake operations and add documentation#64
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… streamline LakeFileSystem operations
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A lot of string manipulation for path specific functionality. Should consider pathlib to help.
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@leefw used both pathlib with pureposixpath and also used some internal method in fsspec to remove th e get_parent-method |
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🤖 I have created a release *beep* *boop* --- ## [0.5.0](dataorc-utils-v0.4.0...dataorc-utils-v0.5.0) (2026-02-04) ### Features * introduce dictionary functionality for environment variables access ([#57](#57)) ([b6291fa](b6291fa)) * **utils:** implement LakeFileSystem for data lake operations and add documentation ([#64](#64)) ([be9e738](be9e738)) * **utils:** support optional revision suffix in version format and update tests ([#59](#59)) ([8ea0b60](8ea0b60)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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🤖 I have created a release *beep* *boop* --- ## [0.2.0](dataorc-v0.1.1...dataorc-v0.2.0) (2026-02-05) ### Features * add Azure Key Vault support and documentation ([#42](#42)) ([abc42a0](abc42a0)) * create config tool for pipeline setup ([#22](#22)) ([21a8a84](21a8a84)) * introduce dictionary functionality for environment variables access ([#57](#57)) ([b6291fa](b6291fa)) * mount data lake ([#31](#31)) ([0bb3e51](0bb3e51)) * **utils:** add argument parsing helper for Databricks wheel tasks ([#43](#43)) ([393c6a2](393c6a2)) * **utils:** add retry logic and customizable parameters for get_keyvault_secret ([#63](#63)) ([acbc2b7](acbc2b7)) * **utils:** implement LakeFileSystem for data lake operations and add documentation ([#64](#64)) ([be9e738](be9e738)) * **utils:** support optional revision suffix in version format and update tests ([#59](#59)) ([8ea0b60](8ea0b60)) * **utils:** treat env as plain string and default to "dev" ([#50](#50)) ([65473a8](65473a8)) ### Documentation * add changelog tab ([#20](#20)) ([2ec4271](2ec4271)) * add CI status badge ([#9](#9)) ([8de41fe](8de41fe)) * add contributing guidelines ([#15](#15)) ([434cf31](434cf31)) * add developing instructions ([#33](#33)) ([835a35e](835a35e)) * add early development phase warning ([#39](#39)) ([406746d](406746d)) * bootstrap package ([#6](#6)) ([afbb765](afbb765)) * build docs using uv ([#36](#36)) ([15a1125](15a1125)) * initialize documentation structure ([#8](#8)) ([0adb45d](0adb45d)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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Creating a unified, path-agnostic interface for file operations on Azure Data Lake Storage, designed for use in Databricks pipelines. The implementation abstracts away environment differences (local vs. Databricks), supports text and JSON file operations, and includes robust error handling. The module is documented and covered by tests, and the required dependency on
fsspecis added.New Lake Module Implementation
LakeFileSystemclass, offering unified methods for reading, writing, and deleting text and JSON files, as well as directory operations, without assuming any path normalization or mount conventions.backend.py), directory operations (directory.py), and text/JSON I/O (text_io.py), usingfsspecfor filesystem abstraction.Documentation and Testing
Provided comprehensive documentation for the new module, including usage examples, API reference, and integration notes for pipeline configuration.
Added a test suite covering all major
LakeFileSystemoperations.Project Configuration
Declared
fsspecas a required dependency inpyproject.toml.Updated documentation navigation to include the new Lake module overview.