feat(append_annotation_template): add append_annotation_template func…

[fangliu117]

…tion and unit tests

[Copilot]

Pull Request Overview

This PR introduces a new append_annotation_template function that converts a NIDAP template to a platform-agnostic format. The template allows users to append annotation key-value pairs to existing DataFrames with support for multiple input formats (CSV, pickle) and flexible output options.

Key changes:

• Added append_annotation_template.py with the main run_from_json function
• Comprehensive unit test suite covering input/output scenarios, error handling, and edge cases
• Support for DataFrame, CSV, and pickle input formats with appropriate error handling

Reviewed Changes

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

File	Description
src/spac/templates/append_annotation_template.py	Core template implementation with JSON parameter parsing, multi-format data loading, and annotation appending
tests/templates/test_append_annotation_template.py	Comprehensive test suite covering functionality, error cases, and input format validation

Comments suppressed due to low confidence (1)

tests/templates/test_append_annotation_template.py:178

• The test expects the error message to list .csv, .pickle, .pkl but the actual code supports .p extension as well. This test will fail if the error message is corrected to include all supported formats.

        self.assertIn("Supported formats: .csv, .pickle, .pkl",