* Added TabMixin
* Added Tab component on inputs
* Added Tab component to initializations
* Added tests for tab input
* Added Tab Component type
* Added options and active tab to input field type
* Added tab component on frontend
* Instantiate tab component
* Update package lock
* Refactor input classes and imports for consistency
- Reordered imports to maintain consistency across files.
- Simplified class definitions by removing unnecessary line breaks.
- Updated the `__all__` list in `__init__.py` files to include `TableInput` consistently.
- Adjusted test cases for cleaner syntax without altering functionality.
* Add constants for tab options limits in input mixin
- Introduced `MAX_TAB_OPTIONS` and `MAX_TAB_OPTION_LENGTH` constants for better maintainability.
- Updated validation logic in `TabMixin` to use these constants for clearer and more flexible error messages.
* Refactor tab input validation tests for improved clarity
- Replaced individual test cases for invalid tab inputs with a parameterized test function.
- Enhanced test coverage by including cases for too many options, exceeding character limits, and non-string values.
- Improved documentation within the test function for better understanding of validation scenarios.
* Enhance tab input validation tests with parameterization
- Refactored `test_tab_input_valid` to use `pytest.mark.parametrize` for improved test coverage and clarity.
- Included multiple scenarios for valid tab inputs, such as standard, fewer options, and empty options.
- Updated assertions to reflect the expected outcomes based on parameterized inputs.
* Enhance TabInput validation to ensure value is a string and one of the specified options
- Updated the `validate_value` method to enforce that the input value is a string.
- Added a check to validate that the value is among the allowed options, raising a ValueError with a descriptive message if not.
- Improved error handling for better user feedback on invalid inputs.
* Fix optional chaining in error handling within CodeAreaModal
- Updated the error check in the `delayedFunction` to use optional chaining for safer access to the error detail.
- This change ensures that the code handles cases where `detail` may be undefined, improving robustness.
* Add 'TAB' field type to schema and update direct types list
- Included 'TAB' as a valid field type in the schema conversion dictionary.
- Updated the DIRECT_TYPES list to include 'tab', ensuring consistency across type definitions.
- These changes enhance the flexibility of the input handling for tab components.
* Add unit test
* Re-added noqa
* fix: unit tests
* [autofix.ci] apply automated fixes
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* Update mcp_sse.py
Uses Python's built-in asyncio.timeout() context manager
Properly handles timeout exceptions
Maintains the same functionality but with correct async context management
* [autofix.ci] apply automated fixes
* add asyncio
+clean up comment
* [autofix.ci] apply automated fixes
* missing arg_schema in Tool
Missing args_schema inside cause that tools are generated without input schema and are not able to be properly executed as agent know tool, but dost know what input field tool have.
Same problem looks to be in MCP STDIO.
* fix Ruff Check
Line 56:
Error: B904 Within an `except` clause, raise exceptions with `raise ... from err` or `raise ... from None` to distinguish them from errors in exception handling
TRY003 Avoid specifying long messages outside the exception class
EM102 Exception must not use an f-string literal, assign to variable first
* [autofix.ci] apply automated fixes
* remove asyncio.timeout
Remove asyncio.timeout() (not valid for Py3.10) and replace it by asyncio.wait_for()
* [autofix.ci] apply automated fixes
* Ruff (TRY300)
Move return response.tools inside an else block. This makes it clearer that tools are returned only if the connection is successful, and not if a TimeoutError occurs.
* fix: add session initialization check in MCPSseClient
Added a check to ensure the session is initialized before attempting to list tools, raising a ValueError with a descriptive message if the session is None. This improves error handling and robustness of the MCPSseClient class.
* [autofix.ci] apply automated fixes
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Sebastián Estévez <estevezsebastian@gmail.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* ✨ (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
* [autofix.ci] apply automated fixes
* fix format
* [autofix.ci] apply automated fixes
---------
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* Add `required_inputs` field to `Output` model in `base.py`
* Refactor ComponentTool to ComponentToolkit and enhance tool creation logic
- Replaced `ComponentTool` with `ComponentToolkit` to better encapsulate component-related tools.
- Introduced `build_description` and `_build_output_function` helper functions for dynamic tool creation.
- Updated tool initialization to handle multiple outputs and required inputs using `StructuredTool`.
- Improved schema creation for tool arguments based on component inputs.
* Refactor `to_tool` method to `to_toolkit` to use `ComponentToolkit` instead of `ComponentTool`
* Refactor `ComponentTool` to `ComponentToolkit` in unit tests
- Updated import statements to reflect the new `ComponentToolkit` class.
- Modified test logic to use `ComponentToolkit` for retrieving tools.
- Adjusted assertions to match the new structure and output format.
- Ensured compatibility with `Message` schema for output validation.
* Refactor `test_component_to_tool` to validate `ComponentToolkit` and tool properties
* Refactor `build_description` to include input types in the output format
* Add method to set required inputs for outputs based on method analysis
- Introduced `_set_output_required_inputs` method to determine and set required inputs for each output by analyzing the method's source code.
- Added necessary imports (`ast` and `dedent`) to support the new functionality.
* Update test to assert full tool description in test_component_to_tool.py
* Add unit tests for verifying required inputs of various components
- Added tests to ensure that required inputs for outputs are present in the inputs of `ChatInput`, `ChatOutput`, `SequentialTaskComponent`, `ToolCallingAgentComponent`, and `OpenAIModelComponent`.
- Included helper functions to check if required inputs are in inputs and to assert that all outputs have different required inputs.
* Add RequiredInputsVisitor to identify required inputs in AST nodes
- Introduced RequiredInputsVisitor class to traverse AST nodes and collect required inputs.
- The visitor checks for 'self' attributes matching the provided inputs and adds them to the required_inputs set.
* Refactor required inputs extraction using `RequiredInputsVisitor`
* Add feature flags configuration for toolkit output in settings
* Add toolkit output handling based on feature flag in custom component utils
* Add method to append 'component_as_tool' output in custom component
* Add unit test for toolkit output feature flag in custom component
* Add utility functions for lazy loading and instantiating input types in langflow
- Introduced `get_InputTypesMap` for lazy loading of `InputTypesMap`.
- Added `instantiate_input` function to create instances of input types dynamically.
- Included type checking and error handling for invalid input types.
* Refactor input instantiation logic and update imports
- Removed `instantiate_input` function from `inputs.py` and moved it to `utils.py`.
- Updated imports in `base.py` to reflect the new location of `instantiate_input`.
- Added missing import for `Callable` in `base.py`.
* Refactor import statement to use `instantiate_input` from `langflow.inputs.utils` in test_inputs.py
* Add TOOL_OUTPUT_NAME constant to tools module
* Add type checking and TOOL_OUTPUT_NAME filter in ComponentToolkit
- Introduced `TYPE_CHECKING` for type hints to avoid circular imports.
- Added `TOOL_OUTPUT_NAME` constant to filter specific outputs in `ComponentToolkit`.
- Updated type annotations to use forward references.
* Refactor component toolkit import to avoid circular dependency and use constant for tool output name
* Refactor `ComponentToolkit` class to remove inheritance from `BaseToolkit` and add an initializer for `component`
* Add unit test for ComponentToolkit in test_component_to_tool
- Added `test_component_to_tool_has_no_component_as_tool` to verify that `ComponentToolkit` correctly initializes with a `ChatInput` component and returns the expected tools.
* Refactor toolkit output handling to `custom_component` module
* fix: mypy errors union-attr and arg-type
* Add 'OTHER' field type to schema in langflow/io/schema.py
* Add tool name formatting to ComponentToolkit to ensure valid characters
* Refactor toolkit output handling and add type hint for `to_toolkit` method
* Add `is_interface_component` attribute to vertex types and update import order
* Add tests for ToolCallingAgentComponent and ChatOutput with API key handling
- Updated `test_component_tool` to reflect new description format.
- Added `test_component_tool_with_api_key` to test `ToolCallingAgentComponent` with `ChatOutput` and OpenAI API key.
- Enabled `add_toolkit_output` feature flag for testing.
* Refactor `_find_matching_output_method` to accept `input_name` parameter for more precise input-output matching
* Replace ValueError with warning in build_description function
* use chat_output component directly in set
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes
* [autofix.ci] apply automated fixes (attempt 3/3)
* Refactor: Reorder method calls in `__init__` for logical consistency
Moved `set_class_code` method call to ensure output types and required inputs are set before class code initialization.
* Update _format_tool_name to allow '.' in tool names
* Refactor `_format_tool_name` to remove non-alphanumeric characters
* Update test assertions for component tool name and output mapping
* Handle case where 'required_inputs' is empty in 'component_tool.py'
* Refactor import statements for better readability in `base.py`
* [autofix.ci] apply automated fixes
* Add noqa comment to suppress import warning and re-add Any import in base.py
---------
Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* fix: update value type in DefaultPromptField from str to Any for increased flexibility in input handling
* fix: replace _instantiate_input with instantiate_input for consistency in input instantiation across the codebase
* chore: update test durations
* update memory chatbot
* refactor: update code references to use _code instead of code
* refactor: add backwards compatible attributes to Component class
* refactor: update Component constructor to pass config params with underscore
Refactored the `Component` class in `component.py` to handle inputs and outputs. Added a new method `map_outputs` to map a list of outputs to the component. Also updated the `__init__` method to properly initialize the inputs, outputs, and other attributes. This change improves the flexibility and extensibility of the `Component` class.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: change attribute to use underscore
* refactor: update CustomComponent initialization parameters
Refactored the `instantiate_class` function in `loading.py` to update the initialization parameters for the `CustomComponent` class. Changed the parameter names from `user_id`, `parameters`, `vertex`, and `tracing_service` to `_user_id`, `_parameters`, `_vertex`, and `_tracing_service` respectively. This change ensures consistency and improves code readability.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: update BaseComponent to accept UUID for _user_id
Updated the `BaseComponent` class in `base_component.py` to accept a `UUID` type for the `_user_id` attribute. This change improves the type safety and ensures consistency with the usage of `_user_id` throughout the codebase.
* refactor: import nanoid with type annotation
The `nanoid` import in `component.py` has been updated to include a type annotation `# type: ignore`. This change ensures that the type checker ignores any errors related to the `nanoid` import.
* fix(custom_component.py): convert _user_id to string before passing to functions to ensure compatibility with function signatures
* feat(component.py): add method to set output types based on method return type to improve type checking and validation in custom components
* refactor: extract method to get method return type in CustomComponent
* refactor(utils.py): refactor code to use _user_id instead of user_id for consistency and clarity
perf(utils.py): optimize code by reusing cc_instance instead of calling get_component_instance multiple times
* refactor(utils.py, base.py): change parameter name 'add_name' to 'keep_name' for clarity and consistency in codebase
* [autofix.ci] apply automated fixes
* refactor: update schema.py to include Edge related typres
The `schema.py` file in the `src/backend/base/langflow/graph/edge` directory has been updated to include the `TargetHandle` and `SourceHandle` models. These models define the structure and attributes of the target and source handles used in the edge data. This change improves the clarity and consistency of the codebase.
* refactor: update BaseInputMixin to handle invalid field types gracefully
The `BaseInputMixin` class in `input_mixin.py` has been updated to handle invalid field types gracefully. Instead of raising an exception, it now returns `FieldTypes.OTHER` for any invalid field type. This change improves the robustness and reliability of the codebase.
* refactor: update file_types field alias in FileMixin
The `file_types` field in the `FileMixin` class of `input_mixin.py` has been updated to use the `alias` parameter instead of `serialization_alias`. This change ensures consistency and improves the clarity of the codebase.
* refactor(inputs): update field_type declarations in various input classes to use SerializableFieldTypes enum for better type safety and clarity
* refactor(inputs): convert dict to Message object in _validate_value method
* refactor(inputs): convert dict to Message object in _validate_value method
* refactor(inputs): update model_config in BaseInputMixin to enable populating by name
The `model_config` attribute in the `BaseInputMixin` class of `input_mixin.py` has been updated to include the `populate_by_name=True` parameter. This change allows the model configuration to be populated by name, improving the flexibility and usability of the codebase.
* refactor: update _extract_return_type method in CustomComponent to accept Any type
The _extract_return_type method in CustomComponent has been updated to accept the Any type as the return_type parameter. This change improves the flexibility and compatibility of the method, allowing it to handle a wider range of return types.
* refactor(component): add get_input and get_output methods for easier access to input and output values
The `Component` class in `component.py` has been updated to include the `get_input` and `get_output` methods. These methods allow for easier retrieval of input and output values by name, improving the usability and readability of the codebase.
* refactor(vertex): add get_input and get_output methods for easier access to input and output values
* refactor(component): add set_output_value method for easier modification of output values
The `Component` class in `component.py` has been updated to include the `set_output_value` method. This method allows for easier modification of output values by name, improving the usability and flexibility of the codebase.
* feat: add run_until_complete and run_in_thread functions for handling asyncio tasks
The `async_helpers.py` file in the `src/backend/base/langflow/utils` directory has been added. This file includes the `run_until_complete` and `run_in_thread` functions, which provide a way to handle asyncio tasks in different scenarios. The `run_until_complete` function checks if an event loop is already running and either runs the coroutine in a separate event loop in a new thread or creates a new event loop and runs the coroutine. The `run_in_thread` function runs the coroutine in a separate thread and returns the result or raises an exception if one occurs. These functions improve the flexibility and usability of the codebase.
* refactor(component): add _edges attribute to Component class for managing edges
The `Component` class in `component.py` has been updated to include the `_edges` attribute. This attribute is a list of `EdgeData` objects and is used for managing edges in the component. This change improves the functionality and organization of the codebase.
* fix(component.py): fix conditional statement to check if self._vertex is not None before accessing its attributes
* refactor(component): add _get_fallback_input method for handling fallback input
The `Component` class in `component.py` has been updated to include the `_get_fallback_input` method. This method returns an `Input` object with the provided keyword arguments, which is used as a fallback input when needed. This change improves the flexibility and readability of the codebase.
* refactor(component): add TYPE_CHECKING import for Vertex in component.py
* refactor(component): add _map_parameters_on_frontend_node and _map_parameters_on_template and other methods
The `Component` class in `component.py` has been refactored to include the `_map_parameters_on_frontend_node` and `_map_parameters_on_template` methods. These methods are responsible for mapping the parameters of the component onto the frontend node and template, respectively. This change improves the organization and maintainability of the codebase.
* refactor(component): Add map_inputs and map_outputs methods for mapping inputs and outputs
The `Component` class in `component.py` has been updated to include the `map_inputs` and `map_outputs` methods. These methods allow for mapping the given inputs and outputs to the component, improving the functionality and organization of the codebase.
* refactor(component): Add Input, Output, and ComponentFrontendNode imports and run_until_complete function
This commit refactors the `component.py` file in the `src/backend/base/langflow/custom/custom_component` directory. It adds the `Input`, `Output`, and `ComponentFrontendNode` imports, as well as the `run_until_complete` function from the `async_helpers.py` file. These changes improve the functionality and organization of the codebase.
* refactor(component): Add map_inputs and map_outputs methods for mapping inputs and outputs
* refactor(component): Add _process_connection_or_parameter method for handling connections and parameters
The `Component` class in `component.py` has been updated to include the `_process_connection_or_parameter` method. This method is responsible for handling connections and parameters based on the provided key and value. It checks if the value is callable and connects it to the component, otherwise it sets the parameter or attribute. This change improves the functionality and organization of the codebase.
* refactor(frontend_node): Add set_field_value_in_template method for updating field values
The `FrontendNode` class in `base.py` has been updated to include the `set_field_value_in_template` method. This method allows for updating the value of a specific field in the template of the frontend node. It iterates through the fields and sets the value of the field with the provided name. This change improves the flexibility and functionality of the codebase.
* refactor(inputs): Add DefaultPromptField class for default prompt inputs
The `inputs.py` file in the `src/backend/base/langflow/inputs` directory has been refactored to include the `DefaultPromptField` class. This class represents a default prompt input with customizable properties such as name, display name, field type, advanced flag, multiline flag, input types, and value. This change improves the flexibility and functionality of the codebase.
* feat: Add Template.from_dict method for creating Template objects from dictionaries
This commit adds the `from_dict` class method to the `Template` class in `base.py`. This method allows for creating `Template` objects from dictionaries by converting the dictionary keys and values into the appropriate `Template` attributes. This change improves the flexibility and functionality of the codebase.
* refactor(frontend_node): Add from_dict method for creating FrontendNode objects from dictionaries
* refactor: update BaseComponent to use get_template_config method
Refactored the `BaseComponent` class in `base_component.py` to use the `get_template_config` method instead of duplicating the code. This change improves code readability and reduces redundancy.
* refactor(graph): Add EdgeData import and update add_nodes_and_edges method signature
The `Graph` class in `base.py` has been updated to include the `EdgeData` import and modify the signature of the `add_nodes_and_edges` method. The `add_nodes_and_edges` method now accepts a list of dictionaries representing `EdgeData` objects instead of a list of dictionaries with string keys and values. This change improves the type safety and clarity of the codebase.
* refactor(graph): Add first_layer property to Graph class
The `Graph` class in `base.py` has been updated to include the `first_layer` property. This property returns the first layer of the graph and throws a `ValueError` if the graph is not prepared. This change improves the functionality and organization of the codebase.
* refactor(graph): Update Graph class instantiation in base.py
The `Graph` class in `base.py` has been updated to use keyword arguments when instantiating the class. This change improves the readability and maintainability of the codebase.
* refactor(graph): Add prepare method to Graph class
The `Graph` class in `base.py` has been updated to include the `prepare` method. This method prepares the graph for execution by validating the stream, building edges, and sorting vertices. It also adds the first layer of vertices to the run manager and sets the run queue. This change improves the functionality and organization of the codebase.
* refactor(graph): Improve graph preparation in retrieve_vertices_order function
The `retrieve_vertices_order` function in `chat.py` has been updated to improve the graph preparation process. Instead of manually sorting vertices and adding them to the run manager, the function now calls the `prepare` method of the `Graph` class. This method validates the stream, builds edges, and sets the first layer of vertices. This change improves the functionality and organization of the codebase.
* refactor: Add GetCache and SetCache protocols for caching functionality
* refactor(graph): Add VertexBuildResult class for representing vertex build results
* refactor(chat.py, base.py): update build_vertex method in chat.py and base.py
* refactor(graph): Update Edge and ContractEdge constructors to use EdgeData type
The constructors of the `Edge` and `ContractEdge` classes in `base.py` have been updated to use the `EdgeData` type for the `edge` and `raw_edge` parameters, respectively. This change improves the type safety and clarity of the codebase.
* feat: add BaseModel class with model_config attribute
A new `BaseModel` class has been added to the `base_model.py` file. This class extends the `PydanticBaseModel` and includes a `model_config` attribute of type `ConfigDict`. This change improves the codebase by providing a base model with a configuration dictionary for models.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: update langflow.graph.edge.schema.py
Refactor the `langflow.graph.edge.schema.py` file to include the `TargetHandle` and `SourceHandle` models. This change improves the clarity and consistency of the codebase.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor(base): Update target_param assignment in Edge class
The `target_param` assignment in the `Edge` class of `base.py` has been updated to use the `cast` function for type hinting. This change improves the type safety and clarity of the codebase.
* refactor(base): Add check for existing type in add_types method
* refactor: update build_custom_component_template to use add_name instead of keep_name
Refactor the `build_custom_component_template` function in `utils.py` to use the `add_name` parameter instead of the deprecated `keep_name` parameter. This change ensures consistency with the updated method signature and improves code clarity.
* feat(component.py): add method to set output types based on method return type to improve type checking and validation in custom components (#3115)
* feat(component.py): add method to set output types based on method return type to improve type checking and validation in custom components
* refactor: extract method to get method return type in CustomComponent
* refactor: update _extract_return_type method in CustomComponent to accept Any type
The _extract_return_type method in CustomComponent has been updated to accept the Any type as the return_type parameter. This change improves the flexibility and compatibility of the method, allowing it to handle a wider range of return types.
* refactor: add _template_config property to BaseComponent
Add a new `_template_config` property to the `BaseComponent` class in `base_component.py`. This property is used to store the template configuration for the custom component. If the `_template_config` property is empty, it is populated by calling the `build_template_config` method. This change improves the efficiency of accessing the template configuration and ensures that it is only built when needed.
* refactor: add type checking for Output types in add_types method
Improve type checking in the `add_types` method of the `Output` class in `base.py`. Check if the `type_` already exists in the `types` list before adding it. This change ensures that duplicate types are not added to the list.
* update starter projects
* refactor: optimize imports in base.py
Optimize imports in the `base.py` file by removing unused imports and organizing the remaining imports. This change improves code readability and reduces unnecessary clutter.
* fix(base.py): fix condition to check if self.types is not None before checking if type_ is in self.types
* refactor: update build_custom_component_template to use add_name instead of keep_name
* refactor(prompts): Update PromptComponent to support custom fields and template updates
The `PromptComponent` class in `Prompt.py` has been updated to support custom fields and template updates. The `_update_template` method has been added to update the prompt template with custom fields. The `post_code_processing` method has been modified to update the template and improve backwards compatibility. The `_get_fallback_input` method has been added to provide a default prompt field. These changes improve the functionality and flexibility of the codebase.
* refactor(base): Add DefaultPromptField to langflow.io
The `DefaultPromptField` class has been added to the `langflow.io` module. This class provides a default prompt field for the `TableInput` class. This change improves the functionality and flexibility of the codebase.
* refactor(prompts): Update PromptComponent to support custom fields and template updates
* refactor(base): Update langflow.template.field.prompt.py for backwards compatibility
* refactor(base): Update langflow.components.__init__.py to import the prompts module
This change adds the prompts module to the list of imports in the __init__.py file of the langflow.components package. This ensures that the prompts module is available for use in the codebase.
* refactor(base): Update langflow.template.field.prompt.py for backwards compatibility
* refactor(graph): Update VertexTypesDict to import vertex types lazily
The VertexTypesDict class in constants.py has been updated to import vertex types lazily. This change improves the performance of the codebase by deferring the import until it is actually needed.
* refactor(graph): Add missing attributes and lock to Graph class
The Graph class in base.py has been updated to add missing attributes and a lock. This change ensures that the necessary attributes are initialized and provides thread safety with the addition of a lock. It improves the functionality and reliability of the codebase.
* refactor(graph): Add method to set inputs in Graph class
The `_set_inputs` method has been added to the Graph class in base.py. This method allows for setting inputs for specific vertices based on input components, inputs, and input type. It improves the functionality and flexibility of the codebase.
* refactor(graph): Set inputs for specific vertices in Graph class
The `_set_inputs` method has been added to the Graph class in base.py. This method allows for setting inputs for specific vertices based on input components, inputs, and input type. It improves the functionality and flexibility of the codebase.
* refactor(graph): Update Graph class to set cache using flow_id
The `Graph` class in `base.py` has been updated to set the cache using the `flow_id` attribute. This change ensures that the cache is properly set when `cache` is enabled and `flow_id` is not None. It improves the functionality and reliability of the codebase.
* refactor(graph): Refactor Graph class to improve edge building
The `Graph` class in `base.py` has been refactored to improve the process of building edges. The `build_edge` method has been added to encapsulate the logic of creating a `ContractEdge` object from the given `EdgeData`. This change enhances the readability and maintainability of the codebase.
* refactor(graph): Update _create_vertex method parameter name for clarity
The `_create_vertex` method in the `Graph` class of `base.py` has been updated to change the parameter name from `vertex` to `frontend_data` for improved clarity. This change enhances the readability and maintainability of the codebase.
* refactor(graph): Update Graph class to return first layer in sort_interface_components_first
The `sort_interface_components_first` method in the `Graph` class of `base.py` has been updated to return just the first layer of vertices. This change improves the functionality of the codebase by providing a more focused and efficient sorting mechanism.
* refactor(graph): Update Graph class to use get_vertex method for building vertices
The _build_vertices method in the Graph class of base.py has been updated to use the get_vertex method instead of creating a new vertex instance. This change improves the efficiency and maintainability of the codebase.
* refactor(graph): Update Graph class to use astep method for asynchronous execution
The `Graph` class in `base.py` has been updated to use the `astep` method for asynchronous execution of vertices. This change improves the efficiency and maintainability of the codebase by leveraging asyncio and allowing for concurrent execution of vertices.
* feat(base.py): implement methods to add components and component edges in the Graph class
* refactor(graph): Import nest_asyncio for asynchronous execution in Graph class
* refactor(base.py): Update Vertex class to handle parameter dictionaries in build_params
The `build_params` method in the `Vertex` class of `base.py` has been updated to handle parameter dictionaries correctly. If the `param_dict` is empty or has more than one key, the method now sets the parameter value to the vertex that is the source of the edge. Otherwise, it sets the parameter value to a dictionary with keys corresponding to the keys in the `param_dict` and values as the vertex that is the source of the edge. This change improves the functionality and maintainability of the codebase.
* refactor(base.py): Add methods to set input values and add component instances in Vertex class
The `Vertex` class in `base.py` has been refactored to include two new methods: `set_input_value` and `add_component_instance`. The `set_input_value` method allows setting input values for a vertex by name, while the `add_component_instance` method adds a component instance to the vertex. These changes enhance the functionality and maintainability of the codebase.
* refactor(message.py): Update _timestamp_to_str to handle datetime or str input
The `_timestamp_to_str` function in `message.py` has been updated to handle both `datetime` and `str` input. If the input is a `datetime` object, it will be formatted as a string using the "%Y-%m-%d %H:%M:%S" format. If the input is already a string, it will be returned as is. This change improves the flexibility and usability of the function.
* refactor(test_base.py): Add unit tests for Graph class
Unit tests have been added to the `test_base.py` file to test the functionality of the `Graph` class. These tests ensure that the graph is prepared correctly, components are added and connected properly, and the graph executes as expected. This change improves the reliability and maintainability of the codebase.
* refactor(initialize/loading.py): Refactor get_instance_results function
The `get_instance_results` function in `initialize/loading.py` has been refactored to simplify the logic for building custom components and components. The previous implementation had separate checks for `CustomComponent` and `Component` types, but the refactored version combines these checks into a single condition based on the `base_type` parameter. This change improves the readability and maintainability of the codebase.
* refactor(component.py): Add set_input_value method to Component class
The `set_input_value` method has been added to the `Component` class in `component.py`. This method allows setting the value of an input by name, and also updates the `load_from_db` attribute if applicable. This change enhances the functionality and maintainability of the codebase.
* refactor(component.py): Set input value in _set_parameter_or_attribute method
The `_set_parameter_or_attribute` method in the `Component` class now sets the input value using the `set_input_value` method. This change improves the clarity and consistency of the codebase.
* refactor(inputs.py): Improve error message for invalid value type
The `SecretStrInput` class in `inputs.py` has been updated to improve the error message when an invalid value type is encountered. Instead of a generic error message, the new message includes the specific value type and the name of the input. This change enhances the clarity and usability of the codebase.
* feat: Add unit test for memory chatbot functionality
* refactor(base.py): Update __repr__ method in ContractEdge class
The `__repr__` method in the `ContractEdge` class of `base.py` has been updated to include the source handle and target handle information when available. This change improves the readability and clarity of the representation of the edge in the codebase.
* refactor(component.py): Update set method to return self
The `set` method in the `Component` class of `component.py` has been updated to return `self` after processing the connection or parameter. This change improves the chaining capability of the method and enhances the readability and consistency of the codebase.
* refactor(starter_projects): Add unit test for vector store RAG
A unit test has been added to the `test_vector_store_rag.py` file in the `starter_projects` directory. This test ensures that the vector store RAG graph is set up correctly and produces the expected results. This change improves the reliability and maintainability of the codebase.
* refactor: remove unused prepare method in Graph class
* refactor: update Output class to use list[str] for types field
* refactor: add name validation to BaseInputMixin
* refactor: update ContractEdge __repr__ method for improved readability and consistency
* refactor: update BaseInputMixin to ensure name field is required with appropriate description
* refactor: remove name validation from BaseInputMixin
* refactor: update input tests to include 'name' field in all input types for better validation and clarity
* refactor: enhance Component class with methods to validate callable outputs and inheritance checks for better robustness
* refactor: disable load_from_db for inputs in Component class to improve input handling logic and prevent unwanted database loading
* refactor: add test for setting invalid output in test_component.py
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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* refactor: update code references to use _code instead of code
* refactor: add backwards compatible attributes to Component class
* refactor: update Component constructor to pass config params with underscore
Refactored the `Component` class in `component.py` to handle inputs and outputs. Added a new method `map_outputs` to map a list of outputs to the component. Also updated the `__init__` method to properly initialize the inputs, outputs, and other attributes. This change improves the flexibility and extensibility of the `Component` class.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: change attribute to use underscore
* refactor: update CustomComponent initialization parameters
Refactored the `instantiate_class` function in `loading.py` to update the initialization parameters for the `CustomComponent` class. Changed the parameter names from `user_id`, `parameters`, `vertex`, and `tracing_service` to `_user_id`, `_parameters`, `_vertex`, and `_tracing_service` respectively. This change ensures consistency and improves code readability.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: update BaseComponent to accept UUID for _user_id
Updated the `BaseComponent` class in `base_component.py` to accept a `UUID` type for the `_user_id` attribute. This change improves the type safety and ensures consistency with the usage of `_user_id` throughout the codebase.
* refactor: import nanoid with type annotation
The `nanoid` import in `component.py` has been updated to include a type annotation `# type: ignore`. This change ensures that the type checker ignores any errors related to the `nanoid` import.
* fix(custom_component.py): convert _user_id to string before passing to functions to ensure compatibility with function signatures
* feat(component.py): add method to set output types based on method return type to improve type checking and validation in custom components
* refactor: extract method to get method return type in CustomComponent
* refactor(utils.py): refactor code to use _user_id instead of user_id for consistency and clarity
perf(utils.py): optimize code by reusing cc_instance instead of calling get_component_instance multiple times
* refactor(utils.py, base.py): change parameter name 'add_name' to 'keep_name' for clarity and consistency in codebase
* [autofix.ci] apply automated fixes
* refactor: update schema.py to include Edge related typres
The `schema.py` file in the `src/backend/base/langflow/graph/edge` directory has been updated to include the `TargetHandle` and `SourceHandle` models. These models define the structure and attributes of the target and source handles used in the edge data. This change improves the clarity and consistency of the codebase.
* refactor: update BaseInputMixin to handle invalid field types gracefully
The `BaseInputMixin` class in `input_mixin.py` has been updated to handle invalid field types gracefully. Instead of raising an exception, it now returns `FieldTypes.OTHER` for any invalid field type. This change improves the robustness and reliability of the codebase.
* refactor: update file_types field alias in FileMixin
The `file_types` field in the `FileMixin` class of `input_mixin.py` has been updated to use the `alias` parameter instead of `serialization_alias`. This change ensures consistency and improves the clarity of the codebase.
* refactor(inputs): update field_type declarations in various input classes to use SerializableFieldTypes enum for better type safety and clarity
* refactor(inputs): convert dict to Message object in _validate_value method
* refactor(inputs): convert dict to Message object in _validate_value method
* refactor(inputs): update model_config in BaseInputMixin to enable populating by name
The `model_config` attribute in the `BaseInputMixin` class of `input_mixin.py` has been updated to include the `populate_by_name=True` parameter. This change allows the model configuration to be populated by name, improving the flexibility and usability of the codebase.
* refactor: update _extract_return_type method in CustomComponent to accept Any type
The _extract_return_type method in CustomComponent has been updated to accept the Any type as the return_type parameter. This change improves the flexibility and compatibility of the method, allowing it to handle a wider range of return types.
* refactor: update BaseComponent to use get_template_config method
Refactored the `BaseComponent` class in `base_component.py` to use the `get_template_config` method instead of duplicating the code. This change improves code readability and reduces redundancy.
* feat: add BaseModel class with model_config attribute
A new `BaseModel` class has been added to the `base_model.py` file. This class extends the `PydanticBaseModel` and includes a `model_config` attribute of type `ConfigDict`. This change improves the codebase by providing a base model with a configuration dictionary for models.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: update langflow.graph.edge.schema.py
Refactor the `langflow.graph.edge.schema.py` file to include the `TargetHandle` and `SourceHandle` models. This change improves the clarity and consistency of the codebase.
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* refactor: update build_custom_component_template to use add_name instead of keep_name
Refactor the `build_custom_component_template` function in `utils.py` to use the `add_name` parameter instead of the deprecated `keep_name` parameter. This change ensures consistency with the updated method signature and improves code clarity.
* feat(component.py): add method to set output types based on method return type to improve type checking and validation in custom components (#3115)
* feat(component.py): add method to set output types based on method return type to improve type checking and validation in custom components
* refactor: extract method to get method return type in CustomComponent
* refactor: update _extract_return_type method in CustomComponent to accept Any type
The _extract_return_type method in CustomComponent has been updated to accept the Any type as the return_type parameter. This change improves the flexibility and compatibility of the method, allowing it to handle a wider range of return types.
* refactor: add _template_config property to BaseComponent
Add a new `_template_config` property to the `BaseComponent` class in `base_component.py`. This property is used to store the template configuration for the custom component. If the `_template_config` property is empty, it is populated by calling the `build_template_config` method. This change improves the efficiency of accessing the template configuration and ensures that it is only built when needed.
* refactor: add type checking for Output types in add_types method
Improve type checking in the `add_types` method of the `Output` class in `base.py`. Check if the `type_` already exists in the `types` list before adding it. This change ensures that duplicate types are not added to the list.
* update starter projects
* refactor: optimize imports in base.py
Optimize imports in the `base.py` file by removing unused imports and organizing the remaining imports. This change improves code readability and reduces unnecessary clutter.
* fix(base.py): fix condition to check if self.types is not None before checking if type_ is in self.types
* refactor: update build_custom_component_template to use add_name instead of keep_name
* feat: update logger warning message for invalid value type in StrInput
* refactor: update logger warning message for invalid value type in StrInput
* refactor: add unit tests for inputs in test_inputs.py
* refactor: update validation for IntInput value type
Improve the validation for the value type in the IntInput class. The updated code ensures that the value is of a valid type (int or float) and converts float values to integers. This change enhances the accuracy and reliability of the input validation process.
* refactor: improve validation for FloatInput value type
Improve the validation for the value type in the FloatInput class. The updated code ensures that the value is of a valid type (int or float) and converts integer values to floats. This change enhances the accuracy and reliability of the input validation process.
* fix(data.py): add validation to check if data is a dictionary before processing to prevent potential errors
* refactor: update test_inputs.py to include comprehensive unit tests for input classes
Add comprehensive unit tests for the input classes in the test_inputs.py file. This change ensures that the input classes are thoroughly tested and functioning correctly. The unit tests cover various scenarios and edge cases to validate the behavior of the input classes. This improvement enhances the reliability and stability of the codebase.
* refactor: remove invalid input tests for DataInput and FileInput in test_inputs.py
Cleaned up unnecessary test cases for invalid input types
* refactor: improve validation for IntInput and FloatInput value types
* refactor: add async version of get_file_content_dicts method in Message class
* refactor: update get_file_content_dicts method in Message class
The `get_file_content_dicts` method in the `Message` class has been updated to use an async version for improved performance. This change enhances the efficiency of retrieving file content dictionaries.
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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Lucas Oliveira