✨ feat(EditNodeModal): add onChangeOpenModal prop to BaseModal component to reset myData to original data when modal is closed
🔧 chore: fix indentation in setTabsState function call for better code readability
🔧 fix(baseModal): import useEffect from react to fix missing dependency warning
🔧 fix(baseModal): add missing onChangeOpenModal prop to BaseModal component
🔧 fix(baseModal): call onChangeOpenModal prop in useEffect to notify parent component of modal open state change
🔧 fix(genericModal): add empty onChangeOpenModal prop to BaseModal component to fix prop type error
🐛 fix(parameterComponent): fix data mutation by cloning data object before updating it
🐛 fix(genericModal): remove unnecessary cloning of nodeClass object
🐛 fix(genericModal): fix validation logic for PROMPT type modal
🐛 fix(reactflowUtils): remove console.log statement in handleKeyDown function
🔨 refactor(genericModal): import cloneDeep from lodash to improve code readability and maintainability
🔨 refactor(genericModal): add type annotations to validatePrompt function parameters for better code documentation
🔨 refactor(genericModal): add null check for nodeClass before modifying it in validatePrompt function
🔨 refactor(genericModal): setNodeClass and setModalOpen only if frontend_node is not an empty object in validatePrompt function
🔨 refactor(genericModal): remove console.log statement in catch block of validatePrompt function
🔨 refactor(genericModal): add type annotations to catch block of validatePrompt function for better code documentation
🔨 refactor(types): add PromptAreaComponentType to define the type of PromptAreaComponent props
🐛 fix(utils.py): handle ImportError when importing cache class and log a warning message
🔧 chore(settings.py): change default value of CACHE option to None for better flexibility
Fixes#880
🔧 chore(base.py): add logging statement to teardown method for debugging purposes
🔧 chore(base.py): call dispose method on database engine instance in teardown method to properly release resources
🔧 chore(base.py): set database engine instance to None in teardown method to ensure proper cleanup
🐛 fix(utils.py): pass session id to process_graph function to ensure unique session id for each client
🐛 fix(base.py): pass session id to setup_callbacks function to ensure unique session id for each client
The LangfuseInstance class is a temporary implementation that will be replaced by a plugin system in the future. This class provides methods for creating, getting, updating, and tearing down an instance of Langfuse. It uses the Langfuse library and credentials from the settings module to create the instance. If no credentials are found, the instance is set to None. The update method resets the instance and creates a new one. The teardown method flushes the instance and sets it to None.
🔀 refactor(OpenAIConversationalAgent.py): make openai_api_base parameter optional with a default value of None for better flexibility and backward compatibility
📝 WHY: The InputListComponent expects an array format for the value prop, but sometimes it receives a string instead. To prevent errors and ensure smooth operation, we need to handle the conversion from a string to an array with the string as its element. This refactor improves code readability and clarifies the purpose of the value conversion logic.
🔀 merge(MetalRetriever.py): merge changes from metal_sdk/metal to langchain/schema to keep codebase up to date
🐛 fix(MetalRetriever.py): change BaseRetriever import from langchain.schema.retriever to langchain.schema to match updated codebase
✨ feat(MetalRetriever.py): add error handling to MetalRetriever build method to raise ValueError if connection to Metal API fails
🔨 refactor(LanguageRecursiveTextSplitter.py): change type hints for the 'documents' parameter from Document to list[Document] and change return type from Document to list[Document] to improve clarity and consistency
🔨 refactor(LanguageRecursiveTextSplitter.py): change type hints for the 'chunk_overlap' parameter from Optional[int] to Optional[str] and handle conversion to int to improve flexibility and error handling
🔨 refactor(LanguageRecursiveTextSplitter.py): change type hints for the 'chunk_size' parameter from Optional[int] to Optional[str] and handle conversion to int to improve flexibility and error handling
🔨 refactor(RecursiveCharacterTextSplitter.py): change type hints for the 'documents' parameter from Document to list[Document] and change return type from Document to list[Document] to improve clarity and consistency
🔨 refactor(RecursiveCharacterTextSplitter.py): change type hints for the 'separators' parameter from Optional[str] to Optional[list[str]] and handle conversion to list of escaped characters to improve flexibility and error handling
🔨 refactor(RecursiveCharacterTextSplitter.py): change type hints for the 'chunk_overlap' parameter from Optional[int] to Optional[str] and handle conversion to int to improve flexibility and error handling
🔨 refactor(RecursiveCharacterTextSplitter.py): change type hints for the 'chunk_size' parameter from Optional[int] to Optional[str] and handle conversion to int to improve flexibility and error handling
🐛 fix(types.py): fix logic in add_new_custom_field function to correctly set is_list flag when field_type contains "list" keyword
✨ feat(types.py): add field_contains_list variable to check if field_type contains "list" keyword to improve semantics in add_new_custom_field function
📝 docs(LanguageRecursiveTextSplitter.py): add documentation link for LanguageRecursiveTextSplitter component
🔧 refactor(LanguageRecursiveTextSplitter.py): refactor build_config method to use options from Language enum for separator_type
🔧 refactor(LanguageRecursiveTextSplitter.py): refactor build method to split text into chunks based on specified length and overlap
🔧 refactor(LanguageRecursiveTextSplitter.py): refactor build method to handle chunk_size and chunk_overlap as integers
🔧 refactor(LanguageRecursiveTextSplitter.py): refactor build method to use RecursiveCharacterTextSplitter from langchain.text_splitter
🔧 refactor(LanguageRecursiveTextSplitter.py): refactor build method to split documents using RecursiveCharacterTextSplitter and return the chunks
🔧 chore(util.py): add missing type hint for 'documents' parameter in build_loader_repr_from_documents function
🔧 chore(util.py): add logic to calculate average document length and display summary information in build_loader_repr_from_documents function
feat(App.tsx): add support for displaying fetch error message and description in FetchErrorComponent
feat(fetchErrorComponent): create FetchErrorComponent to display fetch error message and description
fix(genericIconComponent): add stroke-width property to ensure consistent icon stroke width
feat(loadingComponent): import LoadingComponentProps from types/components to improve type safety
feat(constants): add FETCH_ERROR_MESSAGE and FETCH_ERROR_DESCRIPTION constants for fetch error handling
fix(typesContext): remove console.log statement and set fetchError to true when an error occurs during fetching types
feat(typesContext): add error handling for fetching types and set fetchError to true when an error occurs
feat(typesContext): import fetchErrorComponentType from types/components to improve type safety
feat(types/components): create fetchErrorComponentType and LoadingComponentProps interfaces for type safety
fix(styleUtils): import Unplug icon from lucide-react to fix missing icon issue
