* test: Add session ID parameter to ToolCallingAgentComponent test
* test: Add blocking for langchain_core runnables utility function
* test: Add session ID generation to agent component test
* fix: Safely delete agent message with ID check
Modify error handling in LCAgentComponent to only delete agent message if it has an ID attribute, preventing potential attribute errors
* test: Update ComponentToolkit test to use async start and verify results
Modify the test_component_tool_with_api_key test to:
- Use async_start() method for graph execution
- Add session ID to graph
- Improve result verification with vertex result tracking
- Update import path for ChatOutput component
* test: Skip cycle tests requiring LoopComponent
Update test_cycles.py to:
- Add skip markers for tests that now require a LoopComponent
- Improve error message with snapshots for debugging
- Preserve existing test logic while marking as skipped
* test: Add client fixture to tool calling agent test
Add usefixtures decorator to ensure client is available for the tool calling agent test, improving test setup and reliability
* test: Add client fixture to component tool test with API key
Enhance test_component_toolkit.py by adding the client fixture to the test_component_tool_with_api_key method, ensuring proper test setup for API key-dependent scenarios
* test: Add client fixture to agent component test with calculator
Add client fixture to the test_agent_component_with_calculator method to ensure proper test setup for API key-dependent scenarios
* test: Disable redundant component input tests
Remove commented-out test methods for checking required inputs across various components, as these tests were not providing significant value and the inputs are dynamic
* test: Comment out condition to skip nodes with Tool outputs in setup.py
* run formatter
* test: Re-enable condition to skip nodes with Tool outputs in setup.py
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---------
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* 📝 (loop.py): Improve code readability and semantics by updating the return condition in the LoopComponent class
📝 (data.py): Enhance the data_to_text_list function to handle various data structures and ensure consistent text formatting
📝 (LoopTemplate.json): Update the LoopComponent class description and method implementations for better clarity and maintainability
📝 (test_data_to_text_list.py): Add unit tests to cover different scenarios and edge cases for the data_to_text_list function
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* 📝 (langflow): Add noqa comments to ignore linting rule A005 for specific files in the project. Fix type annotations and improve error handling in data.py module. Add noqa comments to ignore linting rule A005 for specific files in the project.
* ✅ (test_data_to_text_list.py): update parameter names in pytest.mark.parametrize to improve readability and maintainability
* 🐛 (data.py): refactor error message handling in data_to_text_list function to improve readability and maintainability
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* Update src/backend/base/langflow/helpers/data.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* ♻️ (data.py): refactor data_to_text_list function to simplify the logic and improve readability by removing unnecessary if conditions and updating the format_dict directly from data_obj.data.
* ✅ (test_data.py): refactor test_data_to_text_list function to handle defaultdict behavior and improve test coverage
* ✅ (loop-component.spec.ts): update test expectation to match the correct number of occurrences of "modified_value" in the output
* ✅ (Memory Chatbot.spec.ts): add assertion to check if the concatenated text length is greater than 20 to ensure the chatbot response is meaningful
---------
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* fix: updated ChatOutput component not working with streaming enabled (#6744)
fixes: 69df913a14
Updated to handle the forgotten Generator case for self.input_value (encountered when streaming is enabled).
Overhauled the chat.py under outputs to (mostly) pass strict type checking, something which could have prevented this bug.
Only this file has been changed. The only type errors in this file are in the safe_convert function and are due to problems in other files.
To prevent further problems in the future, the project should work towards enabling strict type checking permanently after fixing the vast number of type problems.
* [autofix.ci] apply automated fixes
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* update templates and make sure they support streaming without making breaking chnages
* update templates
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* update to support dataframe
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* Update split_text.py
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* update names
* Update src/backend/base/langflow/schema/dataframe.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
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* update to template
* update review changes
* Update Vector Store RAG.json
* fix lint errors
* fix tests
* 📝 (freeze.spec.ts): update test description to match the actual element being tested for better clarity and accuracy
* ✨ (stop-button-playground.spec.ts): improve test reliability by specifying target position for drag action to prevent flakiness
* ✅ (logs.spec.ts): increase timeout from 1000ms to 3000ms for better test reliability
✅ (stop-building.spec.ts): update test selector from "handle-splittext-shownode-data inputs-left" to "handle-splittext-shownode-input documents-left" for accurate testing
✅ (starter-projects.spec.ts): add a 1000ms timeout before asserting visibility of an element for better test stability
---------
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Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
* refactor: simplify TaskService by removing Celery integration
* refactor: enhance AnyIO backend task management and error handling
* refactor: restructure flow building process and enhance event handling
* feat: implement QueueService for managing job queues and tasks
* feat: Add QueueService for managing job queues and task lifecycle
* feat!: Enhance flow building with QueueService integration for job management
* revert changes to async session
* feat: Integrate QueueService into lifespan management for task handling
* refactor: Enhance QueueService with robust lifecycle management and cleanup mechanisms
* refactor: Simplify docstring for get_queue_service function
* refactor: Update import statements in queue factory for clarity
* test: Improve chat endpoint tests with comprehensive build flow scenarios
* refactor: Streamline flow build event generation and queue management
* refactor: Improve flow build process with modular event handling and URL parameter management
* test: Enhance loop component tests with flow build and event handling utilities
* fix: Improve transaction logging with null flow_id handling and debug logging
* fix: Remove unnecessary db.refresh() in transaction logging
* feat: Add polling mode for build events with optional streaming
* feat: Add event delivery configuration option to settings
* feat: Implement polling for build events with configuration-driven streaming
* refactor: Enhance queue cleanup with improved logging and error handling
* test: Improve build event stream assertion with detailed error reporting
* test: Add benchmark test for build flow polling mechanism
* refactor: Remove redundant end event in flow event generation
* test: Update test_component_tool_with_api_key to use async flow
* Convert test method to async
* Update graph start method to use async_start()
* Add client parameter to test method
* Modify tool retrieval to use async method
* test: Add session ID generation in agent component test
* fix: Enhance error handling in LCAgentComponent for ExceptionWithMessageError
Add null checks to prevent potential AttributeError when handling agent message deletion
* test: Refactor test assertion for model name options in agent component
Simplify the assertion for checking "sonnet" in model name options by extracting the options to a variable first
* refactor: Improve type hints and imports in AnyIOTaskResult
* Add `__future__` import for type annotations
* Use conditional import for `Callable` and `TracebackType`
* Explicitly type `_traceback` attribute with `TracebackType | None`
* fix: Add null checks for event task in build events streaming
* refactor: Extract build and disconnect handling into separate modules
This commit separates the build and disconnect handling logic from the chat API module into dedicated files:
- Created `langflow/api/build.py` to house the flow generation and vertex building logic
- Created `langflow/api/disconnect.py` to manage the custom streaming response with disconnect handling
- Removed duplicate code from `langflow/api/v1/chat.py`
- Improved code organization and modularity
* refactor: Extract flow build and event handling methods in build API
This commit introduces two new methods in the build API to improve code organization and reusability:
- `start_flow_build()`: Centralizes the logic for creating a queue and starting a flow build task
- `get_flow_events_response()`: Handles retrieving flow events for both streaming and polling modes
The changes simplify the chat API endpoint implementations and reduce code duplication
* refactor: Deprecate /task endpoint and add informative error message
This commit marks the /task endpoint as deprecated and raises an HTTP 400 error with a clear message indicating the endpoint will be removed in a future version. The changes improve API clarity and guide users towards the recommended /run endpoint.
* refactor: Update log_transaction function return type annotation
Modify the return type hint for log_transaction to allow for potential None return, improving type safety and clarity in the transactions logging method.
* feat: Add configurable event delivery streaming option
Introduce support for configurable event delivery mode (streaming/polling) across frontend components:
- Add `shouldStreamEvents()` method in NodeStatus and IOModal
- Update flowStore to accept a `stream` parameter
- Modify buildFlowVerticesWithFallback to use the stream parameter directly
- Remove hardcoded polling logic in buildUtils
* fix: Add null check for flow_id in log_transaction function
Prevent logging transactions without a flow_id by returning None, ensuring data integrity and avoiding potential database errors
* chore: Update changes-filter to include chat API path
* fix: Add error handling and null checks in flow transaction deletion
Improve robustness of transaction and vertex build deletion by:
- Adding a null check for flow_id in delete_transactions_by_flow_id
- Wrapping deletion operations in try-except blocks to prevent failures
- Logging debug messages for any deletion errors
* fix: Remove redundant commit in vertex builds deletion
Remove unnecessary db.commit() from delete_vertex_builds_by_flow_id to prevent duplicate commits and simplify database transaction handling
* fix: Improve transaction logging with debug message and return value
Move debug logging from CRUD layer to utils to provide more context about logged transactions and ensure proper error handling
* fix: Improve error handling and transaction cleanup in active_user fixture
Enhance user and transaction cleanup process in test fixture by:
- Adding separate try-except blocks for transaction/vertex build deletion and user deletion
- Adding debug logging for potential errors during cleanup
- Ensuring proper session commits for each operation
* propagate parent task CancelledError instead of supressing it
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
* refactor: Rename queue service to job queue service
Restructure job queue management by:
- Renaming QueueService to JobQueueService
- Moving queue-related files to a new job_queue directory
- Updating import paths and service type references
- Enhancing job queue service with more robust async job management
* fix: Correct ServiceType enum reference for job queue service
Update the service type constant to match the recently renamed JobQueueService, ensuring consistent service type referencing across the application.
* refactor: Enhance JobQueueService with comprehensive logging and documentation
Improve the JobQueueService implementation by:
- Adding detailed docstrings with clear explanations of methods and attributes
- Implementing comprehensive logging throughout the service
- Enhancing error handling and logging for queue and task management
- Providing more context in log messages for debugging and monitoring
* docs: Improve stop method docstring for JobQueueService
Enhance the documentation for the stop method by:
- Providing a more detailed and precise description of the shutdown process
- Clarifying the steps involved in gracefully stopping the service
- Improving the explanation of resource cleanup and task cancellation
* fix: Properly handle task cancellation and propagate exceptions in JobQueueService
* fix: Enhance error handling and raise appropriate exceptions in JobQueueService methods
* improve docstring
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
* fix: Remove redundant exception raises in JobQueueService methods and improve cleanup logic
* fix: Improve logging during job cleanup and handle exceptions more appropriately
* feat: add utility to run tests with multiple event delivery modes
* feat: integrate withEventDeliveryModes utility in multiple test files
* refactor: replace status code assertions with httpx codes for clarity
* remove noqa comment and change argument name
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
* refactor: streamline event polling logic in get_flow_events_response
* refactor: use getattr for safer session attribute access
Co-author: @cbornet
* feat: add is_started method to JobQueueService
* refactor: modify JobQueueService start method and main.py queue service initialization
* feat: add ready state and teardown method to JobQueueService
* refactor: simplify job queue cleanup logic in JobQueueService
* refactor: improve error logging in active_user fixture
* refactor: improve AnyIO task management with TaskGroup and CancelScope
* refactor: Implement LimitedBackgroundTasks for controlled vertex build logging (#6312)
* feat: implement LimitedBackgroundTasks for controlled vertex build logging
* refactor: replace BackgroundTasks with LimitedBackgroundTasks in build_flow endpoint
* refactor: improve task cancellation error handling in JobQueueService
* refactor: Rename LimitedBackgroundTasks to LimitVertexBuildBackgroundTasks
* feat: Add EventDeliveryType enum for event delivery methods
* feat: Add polling constants for endpoint and streaming status
* refactor: Update buildFlowVerticesWithFallback to use polling constants
* refactor: Update event delivery handling to use EventDeliveryType enum
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* fix: Improve error handling for cancelled build tasks
Refactor generate_flow_events to properly handle and propagate CancelledError
- Remove unnecessary task creation and manual cancellation
- Directly await _build_vertex instead of creating a separate task
- Improve exception logging for cancelled tasks
- Ensure CancelledError is raised instead of being silently handled
* fix: trigger event_manager.on_end after error handling in generate_flow_events
---------
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Co-authored-by: anovazzi1 <otavio2204@gmail.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* feat: Enhance Locust load testing for Langflow run endpoint
Refactor locustfile to provide more robust and configurable load testing:
- Add dynamic configuration via environment variables
- Improve error handling and logging
- Implement realistic flow run simulation
- Add connection and timeout handling
- Support API key authentication
- Enhance stats tracking and error reporting
* fix: Improve transaction logging error handling and performance
- Add `no_autoflush` context to prevent unnecessary database operations
- Change transaction logging error from exception to error level logging
- Simplify error handling in log_transaction function
* chore: Add Locust to development dependencies
Update project dependencies by adding Locust (version 2.32.9) to the development requirements, supporting load testing capabilities
* feat: Optimize database connection settings for improved performance and scalability
- Increase default pool_size from 10 to 20 for better connection handling
- Adjust max_overflow to 40 to support higher concurrent connections
- Extend db_connect_timeout from 20 to 30 seconds
- Add pool_recycle and echo settings to db_connection_settings
- Enhance documentation for database connection settings, highlighting SQLite limitations
* feat: Add Locust load testing configuration to Makefile
- Introduce comprehensive Locust load testing target with configurable parameters
- Support flexible testing scenarios with customizable users, spawn rate, and host
- Enable headless and interactive testing modes
- Add environment variable support for API key, flow ID, and other testing parameters
- Provide sensible default values for load testing configuration
* refactor: Remove unused retry configuration in Locust load testing
- Remove RETRY_DELAY and MAX_RETRIES environment variables
- Simplify FlowRunUser configuration by eliminating unused retry settings
- Maintain existing wait time configuration for load testing
* feat: Enforce FLOW_ID requirement for Locust load testing
- Add mandatory validation for FLOW_ID environment variable
- Raise a clear ValueError if FLOW_ID is not provided
- Remove default flow ID to ensure explicit configuration
- Improve load testing configuration robustness
* feat: Add configurable request timeout for Locust load testing
- Introduce `locust_request_timeout` parameter in Makefile
- Update locustfile to use configurable request timeout from environment variable
- Set dynamic connection and network timeout based on REQUEST_TIMEOUT
- Improve request handling with flexible timeout configuration
* revert change to database connection retry
* ✨ (data_to_dataframe.py): add a new component to convert Data objects into a DataFrame for easier data manipulation and analysis.
* [autofix.ci] apply automated fixes
* 📝 (data_to_dataframe.py): improve documentation for the build_dataframe method to explain the process of building a DataFrame from Data objects
* ✨ (test_data_to_dataframe.py): Add unit tests for DataToDataFrameComponent to ensure proper construction of DataFrame from Data objects with various fields and configurations.
* ✨ (test_data_to_dataframe.py): Refactor test_data_to_dataframe.py to use pandas module instead of turtle for DataFrame operations
♻️ (test_data_to_dataframe.py): Refactor test_data_to_dataframe.py to improve readability and consistency in DataFrame testing assertions
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* 🔧 (test_data_to_dataframe.py): improve variable naming for better readability and consistency in test cases
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* ✨ (test_data_to_dataframe_component.py): Add unit tests for DataToDataFrameComponent to ensure correct behavior and functionality.
---------
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* ✨ (save_to_file.py): Add a new component 'SaveToFileComponent' to save DataFrames, Data, or Messages to various file formats. This component allows users to select the input type, file format, and file path for saving the data.
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* 🔧 (save_to_file.py): refactor variable names for better readability and consistency
🐛 (save_to_file.py): handle unsupported input types and formats by raising ValueErrors with informative error messages
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* ✨ (test_save_to_file_component.py): Add unit tests for the SaveToFileComponent to ensure proper saving of data to various file formats and handling of different input types.
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* 📝 (save_to_file.py): Add support for handling different types of message text in the SaveToFileComponent class to ensure proper saving to file
🔧 (test_save_to_file_component.py): Refactor test cases in the SaveToFileComponent test file for better readability and maintainability
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---------
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* feat: add is_loop property to Vertex class for detecting looping outputs
* feat: improve vertex runnability logic for graph traversal
- Update `is_vertex_runnable` to handle loop vertices more robustly
- Modify `are_all_predecessors_fulfilled` to better manage cycle dependencies
- Change adjacency maps to use sets for more efficient predecessor/successor tracking
* refactor: change graph adjacency maps from lists to sets for improved performance
- Update graph data structures to use sets instead of lists for predecessor, successor, and parent-child maps
- Modify type hints and method signatures to reflect the change from list to set
- Improve graph traversal and vertex tracking efficiency by using set operations
* 📝 (youtube_transcripts.py): update description of YouTubeTranscriptsComponent to be more concise and accurate
✨ (youtube_transcripts.py): add new output option 'data_output' to provide transcript along with the source video URL
🔧 (youtube_transcripts.py): add method 'get_data_output' to handle the new 'data_output' output option and return a Data object with transcript, video URL, and error message
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* 📝 (youtube_transcripts.py): improve documentation for get_data_output method to provide a clear description of the returned data object and its contents
🐛 (youtube_transcripts.py): handle specific exceptions from the youtube_transcript_api library to provide more informative error messages and improve error handling in the get_data_output method
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* 🐛 (youtube_transcripts.py): handle case where no transcripts are found by updating the error message and returning a default data object
🔧 (youtube_transcripts.py): refactor get_data_output method to use a default data object and combine all transcript parts into a single continuous text
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* ✨ (test_youtube_transcript_component.py): Add unit tests for YouTubeTranscriptsComponent to test various functionalities such as component initialization, output generation, error handling, and setting translation languages.
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* ✅ (test_youtube_transcript_component.py): update file_names_mapping fixture to return a non-empty list to properly test different versions of file names mapping in the YouTube transcripts component
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* 📝 (test_youtube_transcript_component.py): Add docstrings and improve variable names for better readability and maintainability
🔧 (test_youtube_transcript_component.py): Refactor error handling in test methods to use descriptive error messages and improve code readability
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* feat: FIrst pass at file management API
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* Add delete and edit endpoints
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* Add file size and duplicate name handling
* Ensure the File model has a unique name
* Ensure count is before extension
* [autofix.ci] apply automated fixes
* Add the correct path to the return
* Added function to handle list of paths in File component
* [autofix.ci] apply automated fixes
* Update input_mixin.py
* Refactor to a v2 endpoint
* Add unit tests
* Update test_files.py
* Update frontend.ts
* [autofix.ci] apply automated fixes
* Remove extension from name
* Cast the string type for like
* Update files.py
* Update base.py
* Update base.py
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Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
* feat: implement get_or_create_default_folder function to ensure default folder exists for users
* refactor: replace create_default_folder_if_it_doesnt_exist with get_or_create_default_folder for user folder creation
* test: add unit tests for get_or_create_default_folder function
* ✨ (generalBugs-shard-10.spec.ts): refactor test script to improve readability and maintainability by chaining actions on page elements instead of using separate lines for each action
---------
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* feat: Implement serialization functions for various data types and add a unified serialize method
* feat: Enhance serialization by adding support for primitive types, enums, and generic types
* fix: Update Pinecone integration to use VectorStore and handle import errors gracefully
* test: Add hypothesis-based tests for serialization functions across various data types
* refactor: Replace custom serialization logic with unified serialize function for consistency and maintainability
* refactor: Replace recursive serialization function with unified serialize method for improved clarity and maintainability
* refactor: Replace custom serialization logic with unified serialize function for improved consistency and clarity
* refactor: Enhance serialization logic by adding instance handling and streamlining type checks
* refactor: Remove custom dictionary serialization from ResultDataResponse for streamlined handling
* refactor: Enhance serialization in ResultDataResponse by adding max_items_length for improved handling of outputs, logs, messages, and artifacts
* refactor: Move MAX_ITEMS_LENGTH and MAX_TEXT_LENGTH constants to serialization module for better organization
* refactor: Simplify message serialization in Log model by utilizing unified serialize function
* refactor: Remove unnecessary pytest marker from TestSerializationHypothesis class
* optimize _serialize_bytes
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
* feat: Add support for numpy integer type serialization
* feat: Enhance serialization with support for pandas and numpy types
* test: Add comprehensive serialization tests for numpy and pandas types
* fix: Update _serialize_dispatcher to return string representation for unsupported types
* fix: Update _serialize_dispatcher to return the object directly instead of its string representation
* optmize conditional
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* optimize length check
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* fix: Update string and list truncation to include ellipsis for clarity
* fix: Update _serialize_primitive to exclude string type from primitive handling
* feat: Enhance serialization to handle numpy types and introduce unserializable sentinel
* fix: Update test cases for serialization of numpy boolean values for consistency
---------
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* Add tests for run_flow_from_json with fake environment variables
- Implemented test_run_flow_with_fake_env to validate flow execution with a fake .env file.
- Added test_run_flow_with_fake_env_TWEAKS to check flow execution using environment variables loaded from the fake .env file.
* Replace keys in tweaks with their corresponding environment variable values
- Implemented a function to recursively replace keys in the tweaks dictionary with values from the provided environment variables.
* updated to use better way to load test json file
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* refactor: improve test readability and consistency in load tests
- Renamed variable `TWEAKS` to `tweaks_dict` for clarity and consistency across tests.
- Updated test function names to follow a consistent naming convention.
- Enhanced comments for better understanding of test intentions.
- Minor formatting adjustments to improve code readability.
* feat: add aload_flow_from_json and arun_flow_from_json to module exports
* fix: correct file path handling in aload_flow_from_json function
* fix: improve environment variable handling in aload_flow_from_json function
---------
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: Add tool_mode field to Output model for tool usage specification
* fix: Specify type for component_toolkit in to_toolkit method
* feat: Add method to determine if output should be skipped in ComponentToolkit
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* test: Add tool_mode field to Output model in test schema
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* feat: Add database connection settings configuration
Introduce a new `db_connection_settings` dictionary to centralize database connection parameters. Mark `pool_size` and `max_overflow` as deprecated, recommending the use of the new configuration dictionary instead.
* refactor: Improve database connection settings handling
Add a method to build connection kwargs that merges deprecated settings with the new db_connection_settings, providing a more flexible and backwards-compatible approach to database connection configuration.
* fix: Resolve SQLAlchemy async engine pool configuration for SQLite
Explicitly set AsyncAdaptedQueuePool for SQLite connections to address potential async engine configuration issues. This ensures proper pool handling when creating database connections, particularly for SQLite databases.
* test: Add mock testing for bundle loading from GitHub URLs
Enhance test coverage for `load_bundles_from_urls()` by introducing a mock fixture to simulate zip file content and mocking HTTP requests. This allows testing the bundle loading mechanism without making actual network calls.
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* test: Enhance GitHub URL detection test with mocking and improved coverage
Refactor `test_detect_github_url` to use AsyncMock and patch for more robust testing of GitHub URL detection, including verification of API calls and handling of different URL scenarios.
---------
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* refactor: add test for sorting vertices in unconnected graph
Add a new test case to the `test_get_sorted_vertices_with_unconnected_graph` function in the `test_utils.py` file. This test verifies the correct sorting of vertices in an unconnected graph. The test defines a graph structure and checks that the first layer contains the input vertices and the remaining layers contain the rest of the vertices in the correct order.
Refactor the code to improve test coverage and ensure the correctness of the sorting algorithm.
* refactor: improve handling of unconnected vertices in graph sorting
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* Refactor: Update start_component_id in test_get_sorted_vertices_with_unconnected_graph
The start_component_id parameter in the test_get_sorted_vertices_with_unconnected_graph function was updated to "A" to improve the handling of unconnected vertices in graph sorting.
* Refactor: Improve handling of unconnected vertices in graph sorting
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* Refactor: Add test_filter_vertices_from_vertex function to test_utils.py
* Refactor: Add error handling for missing graph information in filter_vertices_up_to_vertex and filter_vertices_from_vertex functions
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* feat: add arxiv component
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* test: add initial test suite for arxiv component
* fix: correct test formatting for ArXiv component
* fix: implement tests for ArXivComponent following TestBatchRunComponent pattern
* fix: ArXivComponent test formatting
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* refactor: update imports and skip version tests for new component
* fix: fix line breaks in test file
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* feat: add dialog support to dropdown components and enhance AstraDB integration
- Introduced a new NodeDialog component for improved user interaction when connecting to Astra DB.
- Updated AstraDBVectorStoreComponent to include a dialog option for creating new collections.
- Enhanced dropdown components to support dialog functionality, allowing users to create new options directly from the dropdown.
- Added `hasDialog` property to relevant component types to manage dialog visibility.
- Refactored utility functions to support new naming conventions and improve code clarity.
* [autofix.ci] apply automated fixes
* Remove creation parameters, add new inputs for dialog
* Update astradb.py
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* Update the mixins for dialog_inputs
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* refactor: standardize JSON formatting and clean up input types in Vector Store RAG configuration
- Reformatted JSON structure for better readability, ensuring consistent indentation and line breaks.
- Updated input types across various components to use array notation for clarity.
- Removed extraneous entries in package-lock.json to streamline dependencies.
- Enhanced overall maintainability of the configuration files.
* Add new options_metadata field to dropdown mixin
* Update test_astra_component.py
* Properly set dictionary mapping
* Update astradb.py
* Fix collection loading
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* Update astradb.py
* Update astradb.py
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* Enhance AstraDB integration and update dropdown components
- Updated the AstraDBVectorStoreComponent to include new input fields for database and collection creation, with default options for selection.
- Refactored dropdown components to support dynamic dialog inputs, improving user interaction for creating new options and refreshing lists.
- Updated package-lock.json to reflect dependency upgrades, including Rollup and SWC packages.
This commit improves the functionality and usability of the AstraDB integration and dropdown components, ensuring a smoother user experience.
* Update astradb.py
* Fix autodetection
* Enhance dropdown components to support options metadata
- Added `optionsMetaData` prop to Dropdown and DropdownComponent for improved data handling.
- Updated rendering logic in Dropdown to display metadata alongside options, enhancing user experience.
- Modified type definitions to include `optionsMetaData` in relevant components.
These changes improve the flexibility and usability of dropdown components, allowing for richer data presentation.
* Refactor and enhance AstraDB integration and dropdown components
- Updated the `Vector Store RAG.json` configuration for improved formatting and consistency in output and input types.
- Enhanced the `NodeDialogComponent` to accept `dialogInputs` as a prop, allowing for more dynamic content rendering.
- Modified the `Dropdown` component to use `onSelect` instead of `onClick` for better accessibility and user interaction.
- Improved rendering logic in the `Dropdown` component to conditionally display icon options based on the presence of `dialogInputs`.
These changes enhance the usability and flexibility of the AstraDB integration and dropdown components, providing a more intuitive user experience.
* Don't inherit from dict input in new inputs
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* Update astradb.py
* update logic for dropdown
* Fix the number of records per collection
* Update astradb.py
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* feat: Enhance Dropdown and Parameter Render Components
- Updated Dropdown component to integrate post template value handling and refresh functionality.
- Refactored ParameterRenderComponent to conditionally render based on dialog inputs.
- Improved DropdownComponent to accept additional props for better flexibility.
These changes improve the overall functionality and usability of the dropdown components within the application.
* Set unknown to none to hide unavailable fields
* Update astradb.py
* Refactor Dropdown Component for Enhanced Usability
- Removed unnecessary state initialization and improved code readability.
- Updated button elements within the dropdown to enhance user interaction.
- Added loading state indication for the refresh button.
- Filtered out null values from options metadata for cleaner rendering.
These changes streamline the dropdown functionality and improve the user experience.
* Refactor NodeDialog, Dropdown, and ParameterRender Components
- Commented out debug logs in NodeDialogComponent to clean up console output.
- Enhanced Dropdown component to conditionally render icon options based on dialog inputs.
- Updated ParameterRenderComponent to check for the length of dialog inputs before rendering.
These changes improve code readability and ensure components behave correctly based on input conditions.
* [autofix.ci] apply automated fixes
* Cleanup some tests
* Fix ruff style issue
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* Fix environment specification
* [autofix.ci] apply automated fixes
* Update starter project template
* Update astradb.py
* Remove backwards compatibility features
* [autofix.ci] apply automated fixes
* Small tweak to autodetect
* [autofix.ci] apply automated fixes
* Refactor NodeDialogComponent to Dynamically Render Inputs
- Replaced static content in NodeDialogComponent with dynamic rendering based on dialogInputs.
- Introduced NodeInputField and RenderInputParameters components for better modularity.
- Enhanced footer with Cancel and Save buttons, improving user interaction.
These changes enhance the flexibility and usability of the NodeDialogComponent, allowing it to adapt to varying input configurations.
* Refactor NodeDialogComponent: Remove Unused Imports
- Commented out unused imports in NodeDialogComponent to clean up the code.
- This change enhances code readability and prepares the component for future updates.
No functional changes were made; the focus was on improving code quality.
* Refactor Dropdown and ParameterRender Components for Improved Readability and Functionality
- Renamed functions in Dropdown component for clarity: `renderOptionsList` and `renderCreateOptionDialog` to `oldRenderOptionsList` and `renderCustomOptionDialog`, respectively.
- Enhanced the rendering logic in Dropdown to streamline the display of options and metadata.
- Simplified the return structure in ParameterRenderComponent to always render the RefreshParameterComponent, improving code consistency.
- Updated RefreshParameterComponent to conditionally display the refresh button based on the presence of dialog inputs.
These changes improve code readability and maintainability while ensuring consistent behavior across components.
* [autofix.ci] apply automated fixes
* Add the new naming conventions to deletion fields
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* [autofix.ci] apply automated fixes
* Add new cloud provider options for database creation
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* Make dialog inputs a dictionary of inputs
* [autofix.ci] apply automated fixes
* Update astradb.py
* Update astradb.py
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 2/3)
* Update astradb.py
* [autofix.ci] apply automated fixes
* added mock data for testing
* Clean up the reactive flow
* [autofix.ci] apply automated fixes
* Fix the dialog inputs
* Update Vector Store RAG.json
* Update Vector Store RAG.json
* Update astradb.py
* Update astradb.py
* [autofix.ci] apply automated fixes
* Update astradb.py
* Update astradb.py
* Switch dialog inputs from list to dictionary
* Update astradb.py
* Refactor NodeDialogComponent to utilize useDialogSubmit hook for handling dialog submissions and streamline input rendering. Remove unused props and mock data, enhancing clarity and maintainability. Update DropdownComponent to remove unnecessary content prop. Introduce useDialogSubmit hook for improved API interaction and loading state management.
* New structure for dialog inputs
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* [autofix.ci] apply automated fixes (attempt 2/3)
* No need for the input type on token
* Flip order of ingest and search
* [autofix.ci] apply automated fixes
* Remove id field from factory
* Remove other id field
* [autofix.ci] apply automated fixes
* Refactor directory_reader.py to simplify file filtering logic
* Refactor flowSidebarComponent to filter out bundles and custom components in CategoryGroup
* [autofix.ci] apply automated fixes
* Refactor NodeDialogComponent to utilize dialogInputs directly, removing mock data and enhancing parameter rendering. Update Dropdown and ParameterRenderComponent types to accept single dialogInputs object. Remove unused useDialogSubmit hook.
* ✨ (NodeDialogComponent/index.tsx): Introduce handleNewValue function to handle updating node template values based on user input
🔧 (NodeDialogComponent/index.tsx): Add support for process.env.PORT environment variable to be able to run app on a configurable port
🔧 (dropdownComponent/index.tsx): Add nodeId prop to Dropdown component to pass node id for better context
🔧 (parameterRenderComponent/index.tsx): Update handleOnNewValue prop to accept key parameter for better handling of new values
🔧 (parameterRenderComponent/types.ts): Add nodeId property to BaseInputProps type for better context and consistency
* Don't load the new collection names from db
* Update astradb.py
* Temporary disabling of dialog inputs functionality
* Update directory_reader.py
* Fix problematic uv.lock line
* Update uv.lock
* Update Vector Store RAG.json
* Update Vector Store RAG.json
* refactor: enhance dropdown and refresh button logic for better user experience
- Updated the dropdown component to disable the trigger button when there are no options available or when certain conditions are met.
- Removed the old render options list to streamline the dropdown rendering process.
- Improved the loading state handling in the dropdown to provide clearer feedback to users.
- Refactored the refresh button logic to ensure it only displays when appropriate conditions are met, enhancing the component's responsiveness.
* [autofix.ci] apply automated fixes
* Allow combobox specification of api endpoint
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* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes
* Update Vector Store RAG.json
* Add back api_endpoint option for compatibility
* Update Vector Store RAG.json
* [autofix.ci] apply automated fixes
---------
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* Added backend to allow loop on output
* Added custom edge for looping components
* Added allows_loop to output type
* Added output_types to target handle if its a loop
* Fixed valid_connection to allow loops
* Added the loop handle to the outputs
* Added infinity icon
* Fixed clean edges to not delete loop edge
* Implement loop checking before build.
* Implemented looping indicator
* Fixed belzier path
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* 🔧 (reactflowUtils.ts): refactor cleanEdges and detectBrokenEdges functions to improve code readability and maintainability by extracting repeated logic into variables and reducing code duplication.
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* Add from_loop_target_handle method to TargetHandle class and update type field
* Enhance Edge class to handle loop target handles and validate loop edges
* Add output_names attribute and get_value_from_output_names method to Vertex class
* Add overlap check for input and output names in Component class
* Fix default value assignment in ComponentVertex to handle output names correctly
* Clarify error message for missing attributes in Component class
* Added backend to allow loop on output
* Added custom edge for looping components
* Added allows_loop to output type
* Added output_types to target handle if its a loop
* Fixed valid_connection to allow loops
* Added the loop handle to the outputs
* Added infinity icon
* Fixed clean edges to not delete loop edge
* Implement loop checking before build.
* Implemented looping indicator
* Fixed belzier path
* [autofix.ci] apply automated fixes
* 🔧 (reactflowUtils.ts): refactor cleanEdges and detectBrokenEdges functions to improve code readability and maintainability by extracting repeated logic into variables and reducing code duplication.
* [autofix.ci] apply automated fixes
* Add from_loop_target_handle method to TargetHandle class and update type field
* Enhance Edge class to handle loop target handles and validate loop edges
* Add output_names attribute and get_value_from_output_names method to Vertex class
* Add overlap check for input and output names in Component class
* Fix default value assignment in ComponentVertex to handle output names correctly
* Clarify error message for missing attributes in Component class
* feat: add loop component 🎁🎄 (#5429)
* add loop component 🎁🎄
* [autofix.ci] apply automated fixes
* fix: add loop component to init
* [autofix.ci] apply automated fixes
* refactor(loop): rename loop input variable and improve code quality
- Renamed 'loop' input to 'loop_input' for clarity.
- Simplified logic for checking loop input and aggregating results.
- Enhanced type hints for better code readability and maintainability.
* refactor(loop): add type hint to initialize_data method for improved clarity
* fix: mypy error incompatible return value type
* feat: adds test cases for loop component compatibility with the APIs, Loop component updates to support API (#5615)
* add loop component 🎁🎄
* [autofix.ci] apply automated fixes
* fix: add loop component to init
* [autofix.ci] apply automated fixes
* refactor(loop): rename loop input variable and improve code quality
- Renamed 'loop' input to 'loop_input' for clarity.
- Simplified logic for checking loop input and aggregating results.
- Enhanced type hints for better code readability and maintainability.
* refactor(loop): add type hint to initialize_data method for improved clarity
* adding test
* test cases added
* Update test_loop.py
* adding test
* test cases added
* Update test_loop.py
* update with the new test case method!
* Update test_loop.py
* tests updates
* Update loop.py
* update fix
* issues loop issues
* reverting debug mode params
* solves lint errors and fix the tests
* fix: mypy error incompatible return value type
* [autofix.ci] apply automated fixes
---------
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com>
* feat: improve model input fields for Cohere component (#5712)
feat: improve model input fields for cohere component
1. Make api_key field required
2. Convert temperature to SliderInput with range 0-2
3. Add info description to temperature slider
* refactor: improve naming consistency in DataCombiner component (#5471)
* refactor: improve naming consistency in DataCombiner component
- Rename MergeOperation to DataOperation
- Rename component to DataCombinerComponent
- Convert operation enum values to uppercase
- Update method names for consistency
* [autofix.ci] apply automated fixes
* fix: resolved linting errors in __init__.py
* [autofix.ci] apply automated fixes
* Changed operation names to capitalize only first letter
* refactor: rename DataCombinerComponent to MergeDataComponent for better clarity and backwards compatibility
* [autofix.ci] apply automated fixes
* fix: Translate Portuguese text to English in merge_data.py
* feat: add required to data_inputs in MergeDataComponent
---------
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* refactor: Refactor Wikipedia API component (#5432)
* refactor(wikipedia): Refactor Wikipedia API component
* test: add unit tests for WikipediaAPIComponent
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* refactor: improve WikipediaAPIComponent tests and fix lint issues
* [autofix.ci] apply automated fixes
* fix: resolve lint issues in WikipediaAPIComponent tests
---------
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* fix: pass slider input values correctly, add test (#5735)
* ✨ (base.py): Update field validation to include "slider" type in addition to "float" type for better parameter handling
📝 (constants.py): Add "slider" type to the list of DIRECT_TYPES for consistency and completeness
* ✅ (test_inputs.py): add unit test for SliderInput class to ensure it initializes with correct value
* 🐛 (base.py): fix comparison of field type with a list by changing it to a set to ensure correct condition evaluation
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* fix format
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* feat: make AWS credentials required in bedrock component (#5710)
1. Make aws_access_key_id field required
2. Make aws_secret_access_key field required
* chore: update test durations (#5736)
Co-authored-by: ogabrielluiz <24829397+ogabrielluiz@users.noreply.github.com>
* feat: add truncation to ResultDataResponse (#5704)
* chore: Update dependencies and improve platform markers in configuration files
- Added 'hypothesis' version 6.123.17 to dev-dependencies in pyproject.toml.
- Updated platform markers from 'sys_platform' to 'platform_system' for better compatibility in uv.lock, affecting multiple packages including 'jinxed', 'colorama', and 'appnope'.
- Ensured consistency in platform checks across various dependencies to enhance cross-platform support.
This update improves the project's dependency management and ensures better compatibility across different operating systems.
* feat: Enhance ResultDataResponse serialization with truncation support
- Introduced a new method `_serialize_and_truncate` to handle serialization and truncation of various data types, including strings, bytes, datetime, Decimal, UUID, and BaseModel instances.
- Updated the `serialize_results` method to utilize the new truncation logic for both individual results and dictionary outputs.
- Enhanced the `serialize_model` method to ensure all relevant fields are serialized and truncated according to the defined maximum text length.
This update improves the handling of large data outputs, ensuring that responses remain concise and manageable.
* fix: Reduce MAX_TEXT_LENGTH in constants.py from 99999 to 20000
This change lowers the maximum text length limit to improve data handling and ensure more manageable output sizes across the application.
* test: Add comprehensive unit tests for ResultDataResponse and VertexBuildResponse
- Introduced a new test suite in `test_api_schemas.py` to validate the serialization and truncation behavior of `ResultDataResponse` and `VertexBuildResponse`.
- Implemented tests for handling long strings, special data types, nested structures, and combined fields, ensuring proper serialization and truncation.
- Enhanced coverage for logging and output handling, verifying that all fields are correctly processed and truncated as per the defined maximum text length.
- Utilized Hypothesis for property-based testing to ensure robustness and reliability of the serialization logic.
This update significantly improves the test coverage for the API response schemas, ensuring better data handling and output management.
* feat: Add function to validate models with tool calling function and related fixes in agent component (#5720)
* Update nvidia.py
* update agent experience with improving model selection
update agent experience with improving model selection and making only the tool calling models available.
* variable clean up
* [autofix.ci] apply automated fixes
* Update src/backend/base/langflow/base/models/model_input_constants.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* Update src/backend/base/langflow/base/models/model_input_constants.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* added default models
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* format errors solved
* [autofix.ci] apply automated fixes
* Update model.py
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* feat: assistants agent improvements (#5581)
* assistants agent improvements
* remove alembic init file
* vector store / file upload support
* use sync file object (required by sdk)
* steps
* self.tools initialization
* improvements for edwin
* add name and switch to MultilineInput
* ci fixes
* refactor: enhance flow type safety and clean up unused code (#5669)
* 📝 (use-save-flow.ts): add AllNodeType and EdgeType imports to improve type safety in useSaveFlow hook
📝 (index.tsx): remove unused setNoticeData function to clean up code and improve readability
* refactor: Remove unused code in GeneralPage component
* refactor: Remove unused code in cardComponent/index.tsx
---------
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
* feat: Add `required=True` to essential inputs across Langflow components (#5739)
* fix: add required validation to input fields
Ensures mandatory fields are properly marked as required across components.
* fix: add required validation to input fields
Ensures mandatory fields are properly marked as required across components.
* fix: add required validation to input fields
field: model_name
* fix: add required validation to input fields
field: model and base_url
* fix: add required validation to input fields
input: mistral_api_key
* fix: add required validation to input fields
inputs: model, base_url, nvidia_api_key
* fix: add required validation to input fields
inputs: model, base_url
* fix: add required validation to input fields
input: openai_api_key
* fix: add required validation to input fields
inputs: message, embedding_model
* fix: add required validation to input fields
inputs: model_name, credentials
* fix: add required validation to input fields
inputs: aws_secret_access_key, aws_access_key_id
* fix: add required validation to input fields
inputs: input_text, match_text
* fix: add required validation to input fields
inputs: input_message
* fix: add required validation to input fields
inputs: input_value
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
inputs: input_value
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
input: data_input
* fix: add required validation to input fields
inputs: data_inputs, embeddings
* fix: add required validation to input fields
inputs: api_key, input_value
* fix: add required validation to input fields
inputs: password, username, openai_api_key, prompt
* fix: add required validation to input fields
inputs: api_key, transcription_result
* fix: add required validation to input fields
inputs: api_key, transcription_result, prompt
* fix: add required validation to input fields
input: prompt
* fix: add required validation to input fields
input: api_key
* fix: add required validation to input fields
inputs: api_key, transcript_id
* fix: add required validation to input fields
inputs: audio_file, api_key
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* feat: make YouTube Transcripts URL field required (#5686)
feat: Enhance YouTube Transcripts component by adding required field validation to URL input
This change ensures that users provide a video URL before using the YouTube Transcripts component, preventing potential runtime errors due to missing video source.
* fix: Fix memory leak when creating components (#5733)
Fix memory leak when creating components
* test: Update API key requirements and test configurations for frontend tests (#5752)
---------
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* Updated loop.py component
* [autofix.ci] apply automated fixes
* update test file
* fix: handle None values in input names and improve type hints
* [autofix.ci] apply automated fixes
* Added loop component test
* Added comments
* test: add 'allow_loop' field to Output dictionary in test_output_to_dict method
* fix: correct key name in Output dictionary from 'allow_loop' to 'allows_loop' in test_output_to_dict method
* Updated frontend loop test
* Updated examples
* 🐛 (generalBugs-shard-9.spec.ts): Fix incorrect test selector for chat memory output element
🐛 (loop-component.spec.ts): Fix incorrect test selector for chat output element
🐛 (generalBugs-shard-3.spec.ts): Fix incorrect test selector for open AI model output element
* [autofix.ci] apply automated fixes
* refactor: update return type in AgentComponent to use dotdict for build_config
This change modifies the return statement in the AgentComponent class to utilize a dotdict for the build_config, enhancing the structure and accessibility of the returned configuration data.
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* feat: improve model input fields for huggingface component
1. Make model_id, inference_endpoint and api_token fields required
2. Convert temperature to SliderInput with range 0-2
3. Update temperature info to match HuggingFace's description
Co-authored-by: Vinícios Batista da Silva <vinicios.batsi@gmail.com>
* feat(huggingface): update model selection and temperature input
This commit enhances the HuggingFace component by implementing a fixed list of
large language models in the dropdown selection and improving the temperature
input with a slider control.
Key changes in src/backend/base/langflow/components/models/huggingface.py:
- Add DEFAULT_MODEL constant set to "meta-llama/Llama-3.3-70B-Instruct"
- Replace model_id StrInput with DropdownInput containing pre-selected models:
* meta-llama/Llama-3.3-70B-Instruct (default)
* mistralai/Mixtral-8x7B-Instruct-v0.1
* mistralai/Mistral-7B-Instruct-v0.3
* meta-llama/Llama-3.1-8B-Instruct
* Qwen/Qwen2.5-Coder-32B-Instruct
* Qwen/QwQ-32B-Preview
* openai-community/gpt2
* custom option
- Add real_time_refresh to model_id dropdown for dynamic updates
- Implement custom model input field that shows/hides based on selection
- Replace temperature FloatInput with SliderInput for better UX:
* Added RangeSpec with min=0, max=2, step=0.01
* Maintains default value of 0.8
- Add build_config update logic to handle custom model visibility
- Update API URL generation to support custom model IDs
- Import RangeSpec and SliderInput from langflow packages
Co-authored-by: Vinícios Batista da Silva <vinicios.batsi@gmail.com>
* [autofix.ci] apply automated fixes
* test(huggingface): update tests for enhanced model selection and UI controls
This commit updates the test suite to verify the new features and changes in
the HuggingFace component, ensuring proper functionality of the model selection
dropdown and improved temperature control.
Key changes in src/backend/tests/unit/components/models/test_huggingface.py:
- Update test_huggingface_inputs to verify new DropdownInput for model_id:
* Check DEFAULT_MODEL as default value
* Verify presence of 'custom' option
* Validate required and real_time_refresh settings
- Add verification for custom_model field:
* Confirm initial custom_model hidden state
* Verify required flag
- Add specific checks for temperature SliderInput:
* Validate default value of 0.8
* Verify RangeSpec configuration (min=0, max=2, step=0.01)
- Improve test structure with detailed assertions for field configurations
- Update imports to include DEFAULT_MODEL constant
Related to previous commit that enhanced the HuggingFace component with
fixed model list and slider controls.
Co-authored-by: Vinícios Batista da Silva <vinicios.batsi@gmail.com>
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* feat: implement function to truncate json
* refactor: apply JSON truncation function in models
* fix: update code to use the standard field serialization format
* Update src/backend/base/langflow/services/database/models/transactions/model.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* Update src/backend/base/langflow/services/database/models/transactions/model.py
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* Update src/backend/base/langflow/services/database/models/vertex_builds/model.py
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
