feat: add batch run beta component #5489
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Attached is a flow to test the component.
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Merge after #5563 |
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… model invocation and enhancing async processing - Consolidated imports and improved type checking for LanguageModel. - Simplified the run_batch method by directly using the model's asynchronous capabilities. - Enhanced error handling for missing DataFrame columns. - Cleaned up comments and improved code readability.
… processing - Added future annotations for better type hinting. - Replaced LanguageModel with Runnable in type checking and method implementation. - Enhanced code clarity and maintainability by consolidating imports.
- Introduced a new test suite for BatchRunComponent to validate its behavior. - Added tests for successful batch runs with and without system messages. - Implemented tests for handling invalid column names and empty DataFrames. - Included a test to ensure non-string columns are converted to strings during processing.
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* feat: add batch run beta component * [autofix.ci] apply automated fixes * Update batch_run to run async using Runnable * [autofix.ci] apply automated fixes * refactor: streamline BatchRunComponent by removing unused synchronous model invocation and enhancing async processing - Consolidated imports and improved type checking for LanguageModel. - Simplified the run_batch method by directly using the model's asynchronous capabilities. - Enhanced error handling for missing DataFrame columns. - Cleaned up comments and improved code readability. * refactor: update BatchRunComponent to use Runnable for improved async processing - Added future annotations for better type hinting. - Replaced LanguageModel with Runnable in type checking and method implementation. - Enhanced code clarity and maintainability by consolidating imports. * test: add unit tests for BatchRunComponent functionality - Introduced a new test suite for BatchRunComponent to validate its behavior. - Added tests for successful batch runs with and without system messages. - Implemented tests for handling invalid column names and empty DataFrames. - Included a test to ensure non-string columns are converted to strings during processing. * refactor: rename useful.py to mock_language_model.py and update imports --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
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* feat: add batch run beta component * [autofix.ci] apply automated fixes * Update batch_run to run async using Runnable * [autofix.ci] apply automated fixes * refactor: streamline BatchRunComponent by removing unused synchronous model invocation and enhancing async processing - Consolidated imports and improved type checking for LanguageModel. - Simplified the run_batch method by directly using the model's asynchronous capabilities. - Enhanced error handling for missing DataFrame columns. - Cleaned up comments and improved code readability. * refactor: update BatchRunComponent to use Runnable for improved async processing - Added future annotations for better type hinting. - Replaced LanguageModel with Runnable in type checking and method implementation. - Enhanced code clarity and maintainability by consolidating imports. * test: add unit tests for BatchRunComponent functionality - Introduced a new test suite for BatchRunComponent to validate its behavior. - Added tests for successful batch runs with and without system messages. - Implemented tests for handling invalid column names and empty DataFrames. - Included a test to ensure non-string columns are converted to strings during processing. * refactor: rename useful.py to mock_language_model.py and update imports --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
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This component allows multiple texts coming from a LF DataFrame object to be processed by a language model and returns a DataFrame with the generated content per row.