Commit 5244f05
committed
feat: add provider and action filtering to fetch_tools()
This commit introduces comprehensive filtering capabilities to the
fetch_tools() method in StackOneToolSet, matching the functionality
available in the Node.js SDK (PR #124).
Changes:
1. Core Implementation (stackone_ai/toolset.py):
- Add 'providers' option to fetch_tools()
* Filters tools by provider names (e.g., ['hibob', 'bamboohr'])
* Case-insensitive matching for robustness
- Add 'actions' option to fetch_tools()
* Supports exact action name matching
* Supports glob patterns (e.g., '*_list_employees')
- Add set_accounts() method for account ID filtering
* Returns self for method chaining
* Account IDs can be set via options or set_accounts()
- Implement private _filter_by_provider() and _filter_by_action() methods
- Filters can be combined for precise tool selection
2. Enhanced Models (stackone_ai/models.py):
- Add to_list() method to Tools class
- Add __iter__() method to make Tools iterable
- Both methods support better integration with filtering logic
3. Comprehensive Test Coverage (tests/test_toolset.py):
- Add 8 new test cases covering:
* set_accounts() method
* Provider filtering (single and multiple providers)
* Action filtering (exact match and glob patterns)
* Combined filters (providers + actions)
* Account ID integration
- All tests pass (11/11 tests passing)
4. Documentation Updates (README.md):
- Add comprehensive "Tool Filtering" section
- Document all filtering options with code examples:
* get_tools() with glob patterns
* fetch_tools() with provider filtering
* fetch_tools() with action filtering
* Combined filters
* set_accounts() for chaining
- Include use cases for each filtering pattern
- Update Features section to highlight advanced filtering
Technical Details:
- Provider extraction uses tool name convention (provider_action format)
- Glob matching uses fnmatch for flexible patterns
- Filters are applied sequentially and can be combined
- All filtering is case-insensitive for providers
- Maintains full backward compatibility with existing code
Testing:
- All 11 tests pass successfully
- Linting and type checking pass (ruff, mypy)
- No breaking changes to existing API
Reference: StackOneHQ/stackone-ai-node#1241 parent a684c24 commit 5244f05
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