Python TFE - Query run #35
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- Add QueryRun model with support for filter, search, and analytics queries - Implement QueryRuns resource with all CRUD operations: - List: with pagination and filtering options - Create: with timeout and result limits - Read: basic and with additional options - ReadWithOptions: include results and logs - Logs: retrieve query execution logs - Results: retrieve query results with pagination - Cancel: graceful cancellation - ForceCancel: force cancellation for stuck queries - Add comprehensive error handling with InvalidQueryRunIDError - Create extensive unit tests (18 test cases) covering all operations - Add example script demonstrating complete workflow - Export all new types through models/__init__.py - Integrate QueryRuns service into TFEClient Query run operations support: - Multiple query types (filter, search, analytics) - Status tracking (pending, running, completed, errored, canceled) - Timeout and result limit configuration - Real-time monitoring capabilities - Comprehensive logging and result retrieval All tests passing (226/226) with full type checking and linting compliance.
isivaselvan
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Sep 30, 2025
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Rename the functions at examples folder by removing the prefix (test_)
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Description
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I have documented a clear reason for, and description of, the change I am making.
If applicable, I've documented a plan to revert these changes if they require more than reverting the pull request.
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