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* feat: improve gitloader component * [autofix.ci] apply automated fixes * feat(git.py): refactor GitLoaderComponent to support asynchronous operations and improve temporary directory management - Convert methods to async to enhance performance with file operations. - Implement async context manager for handling temporary clone directories. - Update binary file check and content filtering to be asynchronous. * fix(git.py): enhance GitLoaderComponent with improved file filtering and binary check - Refactor file filtering logic to utilize fnmatch for pattern matching. - Introduce a new method to check for binary files based on null byte detection. - Update content filtering to handle exceptions more gracefully. - Modify temporary directory cleanup to use rmdir instead of remove for better directory management. - Adjust load_documents method to utilize asyncio.to_thread for lazy loading of documents. * refactor(git.py): enhance GitLoaderComponent with improved file filtering and binary check - Refactor binary file check to be synchronous and handle exceptions more gracefully. - Introduce new methods for checking file patterns and content patterns, allowing for more flexible filtering. - Consolidate filtering logic into a single method for better maintainability. - Update load_documents method to run lazy loading in a separate thread for improved performance. * feat(tests): add unit tests for GitLoaderComponent file filtering and binary detection - Introduced new test suite for GitLoaderComponent, including tests for binary file detection and file pattern matching. - Implemented temporary file creation for testing various file types and permissions. - Added tests for combined filtering functionality, ensuring robust handling of file and content patterns. * refactor(git.py): improve pattern handling and content filtering in GitLoaderComponent - Refactored pattern handling to use a more descriptive variable name `pattern_list` for clarity. - Enhanced content filtering by ensuring proper encoding when reading file content. - Updated regex validation to include a test string check for better error handling. - Removed unnecessary comments to streamline the code and improve readability. * fix: exception TypeError TypeError: object async_generator can't be used in 'await' expression --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com>
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.