This commit updates the ingestion flow JSON configuration to enhance the OpenSearch hybrid component. Key changes include renaming the component to OpenSearchHybrid, updating input fields for better clarity, and improving the handling of JWT authentication. Additionally, the commit introduces new parameters for search configuration, such as engine selection and filter expressions, while ensuring the overall structure adheres to robust async coding practices and well-documented code.
This commit refactors the LangflowFileService to utilize a centralized logger instead of instance-specific logging. It also improves the handling of the JWT token in the run_ingestion_flow method, ensuring it is correctly passed to downstream services and logged appropriately. These changes enhance code readability and maintainability while adhering to robust async coding practices.
This commit simplifies the handling of the JWT token in the upload_user_file and run_ingestion functions by removing unnecessary lines and ensuring the token is passed correctly to downstream services. This change enhances code readability and maintains the focus on robust async coding practices and well-documented code.
This commit modifies the AppClients class to remove the Content-Type header if it is explicitly set to None, particularly for file uploads. This change enhances the robustness of the async code by ensuring proper header management during API requests, aligning with the project's focus on well-documented and maintainable code.
This commit introduces a new combined endpoint for uploading files and running ingestion in Langflow. The frontend component is updated to utilize this endpoint, streamlining the process by eliminating separate upload and ingestion calls. The response structure is adjusted to include deletion status and other relevant information, enhancing error handling and logging practices throughout the codebase.
This commit replaces the print statement with a logger.info call in the initialize_services function, enhancing the logging practices for better error tracking and consistency across the codebase. This change aligns with the project's focus on robust async coding and well-documented code.
This commit streamlines the LangflowFileService by removing direct HTTP client usage in favor of a centralized API client for handling requests. It enhances the upload and delete file methods to improve code organization and maintainability. Additionally, it updates logging practices for better error visibility, ensuring adherence to robust async coding standards and documentation practices.
This commit updates the settings for LANGFLOW_INGEST_FLOW_ID to remove reliance on a deprecated environment variable. It introduces a new Langflow HTTP client for making API requests and adds a centralized method for handling Langflow API requests, improving code organization and maintainability. The changes enhance the robustness of the async code while ensuring proper documentation practices are followed.
This commit simplifies the state update logic in the KnowledgeSourcesPage component by using conditional chaining to set various settings from the backend response. It removes the unnecessary settingsLoaded state, streamlining the code for better readability and maintainability while adhering to robust coding practices.
This commit refactors the KnowledgeSourcesPage component to include a new ingestion settings section, allowing users to configure document processing parameters such as chunk size and overlap. It also improves the connector management interface by integrating async fetching of connector statuses and enhancing error handling. The changes aim to provide a more robust and user-friendly experience while maintaining well-documented code practices.
This commit replaces the print statement for error traceback with a structured logging approach using the logger. This change enhances error visibility and aligns with best practices for robust and well-documented async code.
This commit adds functionality to retrieve and set ingestion-specific defaults from the Langflow API based on the flow configuration. It includes error handling for the API call and updates the settings with values for chunk size, chunk overlap, separator, and embedding model based on the flow data. This enhancement improves the flexibility and robustness of the ingestion process.
This commit introduces a new JSON configuration file for the OpenSearch ingestion flow, detailing the data processing pipeline. The flow includes components for splitting text, generating embeddings, and ingesting data into OpenSearch, enhancing the capabilities for Retrieval Augmented Generation (RAG) tasks. The configuration is designed to support various input types and provides detailed metadata for each component, ensuring robust and well-documented integration.
This commit modifies both docker-compose.yml and docker-compose-cpu.yml to update the environment variable from FLOW_ID to LANGFLOW_CHAT_FLOW_ID, ensuring consistency across configurations. These changes contribute to a more robust and well-documented codebase.
This commit enhances the KnowledgeDropdown component by integrating a complete file handling process that includes uploading files to Langflow, running an ingestion flow, and deleting the uploaded files. It introduces error handling for each step and dispatches appropriate events to notify the UI of the upload and ingestion results. These changes improve the robustness and maintainability of the component, contributing to a well-documented codebase.
This commit introduces state management for ingest flow IDs and corresponding edit URLs in the KnowledgeSourcesPage component. It enhances the user interface by adding a new section for file ingestion, allowing users to customize their file processing pipeline. The changes improve the overall functionality and maintainability of the settings page, contributing to a more robust and well-documented codebase.
This commit updates the settings retrieval function to include new flow IDs for chat and ingestion, replacing the deprecated FLOW_ID. It also improves the logic for exposing edit URLs based on the availability of public URLs, contributing to a more robust and well-documented codebase.
