📝 (chat.py): Remove commented out code related to logs in build_vertex function for better code readability
📝 (schemas.py): Change the type of logs field in ResultDataResponse class to be a dictionary with string keys and Log values for consistency
📝 (schema.py): Refactor build_logs_from_artifacts function to use a dictionary instead of defaultdict for logs variable for simplicity and consistency
Update the coloredContent function in GenericModal to ensure the input value is converted to a string before applying replacements. This change improves the reliability and consistency of the function.
Update the logs field in the ResultDataResponse schema to allow for a list of logs or a single log. This change ensures compatibility with the latest langflow library updates and improves the flexibility of the schema.
Update the field classes in the codebase to use the 'hidden' attribute instead of 'hide' for consistency and clarity. This change aligns with recent updates to the langflow library and improves the readability of the code.
Update the imports in TextInput.py to match the latest changes in the langflow library. This ensures compatibility and consistency with the rest of the codebase.
refactor: Add value attribute to ChatInput
Add a new value attribute to the ChatInput class in ChatInput.py. This allows for the pre-filling of the input field with a default value.
Update the MESSAGES_TABLE_ORDER constant in constants.ts to include additional fields for sorting messages in a table. This change improves the functionality and flexibility of the codebase, allowing for more customizable table sorting options.
Update the logs field type in the ResultDataResponse schema of schemas.py to use a single Log object instead of a list of Log objects. This change aligns the schema with the actual data structure and improves consistency throughout the codebase.
Refactor the build_vertex function in chat.py to handle logs and result data response more efficiently. Instead of using a conditional statement to check the type of vertex.artifacts_raw, the code now directly assigns the logs variable based on the type. Additionally, the logs variable is only assigned to result_data_response if it is not empty. This change improves the clarity and maintainability of the code.
Update the Log class in schema.py to allow the message field to accept a list type in addition to str, dict, and StreamURL. This change enhances the flexibility of the Log class and accommodates scenarios where multiple messages need to be stored.
Update the inputs of the ChatInput class in ChatInput.py to use specific input classes such as StrInput and DropdownInput. This change improves the organization and separation of concerns in the codebase, making it easier to understand and maintain.
Update the Template class in base.py to include a serialization alias for the type_name field and use the InputTypes class for the fields list. This refactor improves the organization and maintainability of the codebase by providing clearer field definitions and serialization behavior.
Update the inputs of the PromptComponent class in Prompt.py to use the PromptInput class instead of the deprecated Input class. This change improves the organization and separation of concerns in the codebase, making it easier to understand and maintain.
Update the inputs of the ChatOutput class in ChatOutput.py to use specific input classes such as StrInput, DropdownInput, and BoolInput. This change improves the organization and separation of concerns in the codebase, making it easier to understand and maintain.
Update the inputs of the ChatInput class in ChatInput.py to use specific input classes such as StrInput and DropdownInput. This change improves the organization and separation of concerns in the codebase, making it easier to understand and maintain.
Remove the unused code block in the update_template_field function in utils.py. The code block was checking for the "load_from_db" key in the value_dict and assigning it to the "load_from_db" attribute of the template_field dictionary. However, this attribute is no longer used in the codebase, so the code block can be safely removed. This change improves the clarity and maintainability of the code.
This commit updates the `BaseInputMixin` class in the `input_mixin.py` file. It adds the `model_serializer` decorator and the `serialize_model` method to the mixin. The `model_serializer` decorator is used to specify the serialization behavior of the model, and the `serialize_model` method is responsible for serializing the model into a dictionary representation.
These additions enhance the flexibility and reusability of the `BaseInputMixin` class.
This commit updates the inputs of the `OpenAIModelComponent` class in the `OpenAIModel.py` file. It replaces the `Input` class with specific input classes such as `StrInput`, `IntInput`, `DictInput`, `DropdownInput`, `BoolInput`, and `SecretStrInput`. This change improves the organization and separation of concerns in the codebase, making it easier to understand and maintain.
Additionally, the commit renames the `model_response` method to `build_model` for better clarity and consistency. The method is responsible for constructing the language model using the specified input values and returning the built model.
These updates enhance the functionality and maintainability of the `OpenAIModelComponent` class.
This commit adds field input classes for different data types in the `inputs.py` file. The purpose of this change is to improve the organization and separation of concerns in the codebase. Each input class specifies the field type and provides default values or options where applicable. This update enhances the maintainability and extensibility of the codebase.
This commit adds the `BaseInputMixin` class to the `input_mixin.py` file. The `BaseInputMixin` provides common input field attributes and methods for input fields in the codebase. This mixin includes attributes such as `field_type`, `required`, `placeholder`, `show`, `value`, `name`, `display_name`, `advanced`, `input_types`, `dynamic`, `info`, `real_time_refresh`, `refresh_button`, `refresh_button_text`, and `title_case`. The mixin also includes a `to_dict` method for converting the input field to a dictionary representation. This addition improves the organization and reusability of the codebase.
Allow the "Text" field in the MessagesPage component to be editable along with the "Sender Name" and "Message" fields. This change improves the functionality of the component and provides a better user experience.
Add field input classes for different data types in the `inputs.py` file. This change allows for better organization and separation of concerns in the codebase. Each input class specifies the field type and provides default values or options where applicable. This update improves the maintainability and extensibility of the codebase.
Refactor the type processing logic in base.py to use the newly created post_process_type function for better readability and maintainability. Move the type extraction functions from custom_component.py to the type_extraction module for better organization and separation of concerns. Update import statements in utils.py to reflect the move of type extraction functions. Add functions to type_extraction.py to extract inner types and union types from generic aliases for type extraction operations.
📝 (custom_component.py): Move type extraction functions to type_extraction module for better organization and separation of concerns
📝 (utils.py): Update import statements to reflect the move of type extraction functions to type_extraction module
📝 (type_extraction.py): Add functions to extract inner types and union types from generic aliases for type extraction operations
Allow the "Text" field in the SessionView component to be editable along with the "Sender Name" and "Message" fields. This change improves the functionality of the component and provides a better user experience.
Refactor the get_component_instance function in utils.py to handle the instantiation of custom components. This change ensures compatibility with the latest version of the langflow library and improves code readability.
