Feature/command refactoring

[AliiiBenn]

Summary by CodeRabbit

v0.2.0 Release Notes

• New Features

  • Introduced an Operations Layer with 9 new data manipulation modules for filtering, sorting, pivoting, aggregating, comparing, cleaning, transforming, joining, and validation.
  • Added comprehensive Functional Programming Utilities including immutable data structures and error handling types.
  • Expanded error type system with 27+ specialized error types for better diagnostics.

• Refactor

  • Refactored all CLI commands for consistency and modularity through centralized data I/O and operation helpers.
  • Improved test coverage to exceed 90% with 441+ tests.

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[coderabbitai]

Caution

Review failed

The pull request is closed.

📝 Walkthrough

Walkthrough

This pull request introduces v0.2.0 of excel_toolkit, implementing a comprehensive Operations Layer that separates business logic from CLI code. The release includes 9 new operation modules (filtering, sorting, aggregating, comparing, pivoting, cleaning, transforming, joining, validation), a functional programming utilities suite with Result types, and an immutable error type system. All command modules are refactored to use unified data I/O abstractions and delegate to the new operations layer.

Changes

Cohort / File(s)	Summary
Version Bumps excel_toolkit/__init__.py, pyproject.toml	Version incremented from 0.1.0 to 0.2.0
Release Documentation RELEASE_NOTES_v0.2.0.md	Comprehensive release notes documenting Operations Layer implementation, 9 new modules, FP utilities, 27+ error types, 441 tests, migration guide, and deployment details
Common Utilities Layer excel_toolkit/commands/common.py	Three new public functions: read_data_file() for unified Excel/CSV reading, write_or_display() for consolidated output handling, handle_operation_error() for centralized error mapping
Aggregation Commands excel_toolkit/commands/aggregate.py, excel_toolkit/commands/group.py	Refactored to use parse_aggregation_specs(), validate_aggregation_columns(), aggregate_groups() from operations layer; replaced ad-hoc logic with modular functions
Comparison & Joining excel_toolkit/commands/compare.py, excel_toolkit/commands/join.py	Replaced in-file comparison/merge logic with compare_dataframes() and join_dataframes() operations; streamlined result handling via ComparisonResult/join outputs
Data Manipulation Commands excel_toolkit/commands/append.py, excel_toolkit/commands/merge.py, excel_toolkit/commands/dedupe.py, excel_toolkit/commands/fill.py, excel_toolkit/commands/strip.py	Unified file reading via read_data_file(); replaced handler-specific logic with operation functions (remove_duplicates(), fill_missing_values(), trim_whitespace()); consolidated output via write_or_display()
Filtering & Selection excel_toolkit/commands/filter.py, excel_toolkit/commands/select.py, excel_toolkit/commands/search.py	Integrated validate_condition(), normalize_condition(), apply_filter() from filtering ops; replaced regex/pattern logic with unified validation; added Result-based error handling
Sorting & Transformation excel_toolkit/commands/sort.py, excel_toolkit/commands/transform.py, excel_toolkit/commands/clean.py	Use validate_sort_columns(), sort_dataframe() for sorting; clean() now applies trim_whitespace() pre-step; added helper functions for case/whitespace operations
Pivot & Aggregation excel_toolkit/commands/pivot.py	Major refactor: rows and values now required parameters; replaced manual pivot logic with create_pivot_table() operation; removed dry-run; updated validation flow
Validation Commands excel_toolkit/commands/validate.py	Complete rewrite: new CLI options (columns, types, range, unique, null_threshold, min_value, max_value); uses validate_dataframe() operation; returns ValidationReport instead of rules-based output
Data I/O Commands excel_toolkit/commands/convert.py, excel_toolkit/commands/export.py, excel_toolkit/commands/count.py, excel_toolkit/commands/head.py, excel_toolkit/commands/tail.py, excel_toolkit/commands/unique.py, excel_toolkit/commands/rename.py, excel_toolkit/commands/stats.py	All refactored to use read_data_file() for unified reading, removing per-handler branches; output consolidated via write_or_display() or display functions

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~60 minutes

Poem

🐰 A layer for ops, now clean and refined,
Nine modules of logic, left behind,
Read once, write once, no branching fray,
The toolkit hops forward to v0.2 today! 🥕✨

✨ Finishing touches

• 📝 Generate docstrings

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📜 Recent review details

Configuration used: defaults

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 4aa1d98 and 43c2270.

📒 Files selected for processing (29)

• RELEASE_NOTES_v0.2.0.md
• excel_toolkit/__init__.py
• excel_toolkit/commands/aggregate.py
• excel_toolkit/commands/append.py
• excel_toolkit/commands/clean.py
• excel_toolkit/commands/common.py
• excel_toolkit/commands/compare.py
• excel_toolkit/commands/convert.py
• excel_toolkit/commands/count.py
• excel_toolkit/commands/dedupe.py
• excel_toolkit/commands/export.py
• excel_toolkit/commands/fill.py
• excel_toolkit/commands/filter.py
• excel_toolkit/commands/group.py
• excel_toolkit/commands/head.py
• excel_toolkit/commands/join.py
• excel_toolkit/commands/merge.py
• excel_toolkit/commands/pivot.py
• excel_toolkit/commands/rename.py
• excel_toolkit/commands/search.py
• excel_toolkit/commands/select.py
• excel_toolkit/commands/sort.py
• excel_toolkit/commands/stats.py
• excel_toolkit/commands/strip.py
• excel_toolkit/commands/tail.py
• excel_toolkit/commands/transform.py
• excel_toolkit/commands/unique.py
• excel_toolkit/commands/validate.py
• pyproject.toml

_{✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.}

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[gemini-code-assist]

Summary of Changes

Hello @AliiiBenn, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request marks a significant architectural advancement by implementing a dedicated Operations Layer. This layer centralizes core business logic, decoupling it from the command-line interface. The primary goal is to improve the modularity, maintainability, and reliability of the Excel Toolkit by providing a robust, testable foundation for all data processing tasks, setting the stage for future CLI enhancements.

Highlights

• Operations Layer Introduction: This release introduces a new 'Operations Layer' that completely separates business logic from CLI concerns, enhancing testability, reusability, and type safety across the Excel Toolkit.
• New Operation Modules: Nine new operation modules have been implemented, covering Filtering, Sorting, Pivoting, Aggregating, Comparing, Cleaning, Transforming, Joining, and Validation functionalities. These modules encapsulate core data manipulation logic.
• Functional Programming & Error Handling: The toolkit now utilizes functional programming utilities, including a Result type (Ok/Err) for explicit, type-safe error handling and immutable dataclasses for error data structures, leading to more robust code.
• Extensive Testing & Coverage: The new architecture is backed by 441 comprehensive unit tests, achieving over 90% test coverage, ensuring high reliability and stability of the new operations.
• CLI Command Refactoring Preparation: Existing CLI commands have been refactored to leverage the new Operations Layer, significantly reducing their complexity and preparing for a cleaner, more consistent CLI in future releases (Phase 3).

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[gemini-code-assist]

Code Review

This pull request introduces version 0.2.0 of the Excel Toolkit, focusing on a major architectural refactoring to implement an "Operations Layer." This layer separates business logic from CLI concerns, enabling better testability, reusability, and type-safe error handling using Result types and immutable dataclasses. The changes include 9 new operation modules (e.g., Filtering, Sorting, Pivoting, Aggregating, Comparing, Cleaning, Transforming, Joining, Validation) with 441 unit tests and over 90% test coverage. Many existing CLI commands have been updated to utilize these new operations and common file I/O helpers (read_data_file, write_or_display) from excel_toolkit/commands/common.py.

Review comments indicate several areas needing attention:

• Breaking Changes: The release notes incorrectly state "No breaking changes," as the --dry-run option was removed from the validate command, and the validate command's interface was significantly altered, requiring updates to the release notes and a migration guide.
• Incomplete Refactoring: A new handle_operation_error helper function was introduced but is not yet used by the refactored commands, which still handle errors manually.
• Documentation Inconsistencies: The release notes contain mismatched counts for error types and list some undefined errors.
• Code Quality: A wip commit was found in the history, and an inefficient file re-read was identified in the sort command.
• Compatibility Claims: The claim of testing on Python 3.13 and 3.14 needs verification due to their release status.
• Minor Code Style: A local import of display_table in aggregate should be moved to the top of the file.

[gemini-code-assist]

The --dry-run option has been removed from this command, which constitutes a breaking change for users who may have been relying on it. The release notes state that there are no breaking changes in this version, which is a contradiction.

If this change was intentional, the release notes must be updated to reflect this breaking change and provide a migration path for users. If it was unintentional, the --dry-run functionality should be restored.

[gemini-code-assist]

The interface for the validate command has been completely changed. The previous --rules and --rules-file options have been removed and replaced with new, more specific options like --types, --range, and --unique. This is a major breaking change that will affect any users of this command.

The release notes explicitly state "No breaking changes", which is incorrect. This change needs to be clearly documented as a breaking change in the release notes, along with a migration guide explaining how to adapt to the new command options.

[gemini-code-assist]

The new helper function handle_operation_error is a great idea for standardizing error handling across commands. However, it's not being used in any of the refactored command files. The commands still handle errors manually, like this:

if is_err(result):
    error = unwrap_err(result)
    typer.echo(f"Error: {error}", err=True)
    raise typer.Exit(1)

To maintain consistency and fully leverage this new helper, all commands should be updated to use handle_operation_error(unwrap_err(result)) for error handling. This will make the command logic even cleaner and centralize error message formatting.

[gemini-code-assist]

There are some inconsistencies in this section that could confuse users:

1. Mismatched Counts: The number of error types mentioned in the headers doesn't always match the number of items listed. For example:
   • Validation Errors (12 types): is followed by a list of 7 types.
   • Transforming Errors (4 types): is followed by a list of 6 types.
2. Undefined Errors: Some errors listed, like InvalidConditionError and EmptyResultError under Filtering Errors, don't appear to be defined in excel_toolkit/models/error_types.py.

Please review and align this documentation with the actual error types implemented to ensure accuracy.

[gemini-code-assist]

The commit history for this release includes a wip (work in progress) commit. It's a best practice to squash or rebase WIP commits into more descriptive, atomic commits before merging to maintain a clean and understandable project history.

[gemini-code-assist]

The compatibility section states that the toolkit has been tested on Python 3.13 and 3.14. As these versions are either very new or not yet officially released, this claim might be an overstatement or a typo. It's important to provide accurate information about supported environments to users. Please verify the Python versions this has been tested against.

[gemini-code-assist]

The import of display_table is done locally inside the if dry_run: block. While this works, it's generally better to place all imports at the top of the file for improved readability and to avoid potential issues with circular dependencies. Since common.py is a utility module, it should be safe to move this import to the top.

[gemini-code-assist]

This line re-reads the input file using read_data_file() just to get the original total number of rows for the summary message. This is inefficient, especially for large files.

The original row count should be stored in a variable right after the initial file read, and that variable should be used here instead of reading the file again.

Suggested change

	typer.echo(f"Filter: {where} ({filtered_count} of {len(read_data_file(file_path, sheet))} rows matched)")
	typer.echo(f"Filter: {where} ({filtered_count} of {original_count} rows matched)")