The test covers the search_components function in the StoreService class. It mocks the response from the HTTP GET request and asserts that the request was made with the correct parameters. It also asserts that the search method returns a list of ComponentResponse objects.
The test_process_flow_vector_store_grouped function now includes assertions to check if the expected keywords are present in the source and target fields of the edges in the processed_flow dictionary. This ensures that the processing of the flow vector store grouped JSON is correctly generating the edges with the expected connections between nodes.
🐛 fix(base.py): change assignment of parent_node_id and parent_is_top_level to use state dictionary instead of _data attribute
🐛 fix(test_graph.py): change arguments passed to update_source_handle() function to match its signature
🔧 chore(conftest.py): add new path for vector_store_grouped.json file to improve test coverage
🆕 feat(Vector Store): add Vector Store agent and Vector Store Info node
The Vector Store agent allows querying a Vector Store. It can be used to construct an agent from a Vector Store. The Vector Store Info node provides information about a Vector Store.
The Vector Store agent and Vector Store Info node are added to support the functionality of querying a Vector Store.
🔧 chore: update configuration options in the code
📝 docs: add information about the OpenAI API Base configuration option in the code comments
🔧 chore: update configuration for ChatOpenAI and Chroma nodes
📝 docs: update documentation for ChatOpenAI and Chroma nodes
🔧 chore(config): update OpenAIEmbeddings-YwSvx configuration options
The OpenAIEmbeddings-YwSvx configuration options have been updated to include new fields and values. This commit updates the configuration file to reflect these changes.
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma to improve flexibility and customization
🔧 chore(config): update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader
📝 docs(config): update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in documentation
🔧 chore(OpenAIEmbeddings): update OpenAIEmbeddings configuration options
The OpenAIEmbeddings node configuration options have been updated to include the following changes:
- `allowed_special` and `disallowed_special` now accept a list of values instead of a single value
- `chunk_size` now accepts an integer value
- `deployment` now accepts a string value
- `embedding_ctx_length` now accepts an integer value
- `headers` now supports multiline values
- `max_retries` now accepts an integer value
- `model` now accepts a string value
- `model_kwargs` now accepts code input
- `openai_api_base` now accepts a password input
- `openai_api_key` now accepts a password input
- `openai_api_type` now accepts a password input
- `openai_api_version` now accepts a password input
- `openai_organization` has been removed from the configuration options
🔧 chore: update OpenAIEmbeddings configuration options in the UI
The OpenAIEmbeddings configuration options in the UI have been updated to include the following changes:
- Added the `openai_organization` option to specify the OpenAI organization.
- Added the `openai_proxy` option to configure the OpenAI proxy.
- Added the `request_timeout` option to set the request timeout.
- Added the `show_progress_bar` option to control the display of progress bars.
- Added the `tiktoken_model_name` option to specify the Tiktoken model name.
These changes improve the flexibility and customization of the OpenAI embedding models.
🔧 chore: clean up unused code and remove unnecessary fields in the configuration file
📝 docs: update documentation link for the Chroma vectorstore module
🔧 fix: fix formatting issue in chunk_size field in RecursiveCharacterTextSplitter node configuration
🔧 fix: fix formatting issue in separator_type field in RecursiveCharacterTextSplitter node configuration
🔧 fix: fix formatting issue in separators field in RecursiveCharacterTextSplitter node configuration
📝 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔀 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
✅ test(graph.py): add test case for processing flow with grouped nodes and vector store
🔍 test(graph.py): add assertions to verify the correctness of the processed flow with grouped nodes and vector store
🔧 test(graph.py): update test case for updating template to make a deep copy of sample_nodes to keep it unchanged
✨ feat(utils.py): add support for nested proxy dictionary in template to handle field and id separately
✅ test(test_graph.py): add test cases for process_flow function to ensure correct processing of grouped chat data
✅ test(test_graph.py): add test cases for update_template function to ensure correct updating of template
🔧 chore(conftest.py): add one_grouped_chat_json_flow fixture to read and return the contents of the one_group_chat.json file
📝 chore(one_group_chat.json): add one_group_chat.json test data file
This commit adds the one_group_chat.json file to the tests/data directory. The file contains a simple chat with a custom prompt template and conversational memory buffer. It is used for testing purposes.
🔧 chore: update node configuration for ConversationBufferMemory, ChatOpenAI, and LLMChain
📝 docs: update documentation links for ConversationBufferMemory and LLMChain
🔧 fix: update prompt template in LLMChain to include conversation history and text input variables
🔧 fix: update ConversationBufferMemory node to include description and documentation links
🎨 style: format and organize code for better readability and maintainability
🔀 chore(utils.py): update import statements to use the correct module paths for PromptTemplate
🔀 chore(test_custom_component.py): update import statements to use the correct module paths for PromptTemplate
🐛 fix(endpoints.py): update endpoint path for checking task status to match the updated path in the documentation
🐛 fix(schemas.py): add TaskResponse schema to properly handle task response data
🐛 fix(locustfile.py): update endpoint path for polling task status to match the updated path in the endpoints
🐛 fix(test_endpoints.py): update helper function and test cases to use the new task response structure and endpoint path for polling task status
🐛 fix(conftest.py): update LANGFLOW_REDIS_HOST and BROKER_URL environment variables to use "result_backend" instead of "queue" for better clarity and accuracy
🐛 fix(locustfile.py): remove unused import and fix incorrect variable name
✨ feat(locustfile.py): add support for authentication and flow creation in on_start method
🔧 fix(endpoints.py): move import statement to the top of the file for better organization and readability
🔧 fix(getters.py): change service type from DATABASE_MANAGER to DATABASE_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from CACHE_MANAGER to CACHE_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from SESSION_MANAGER to SESSION_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from TASK_MANAGER to TASK_SERVICE for consistency and clarity
🔧 fix(getters.py): remove unused function get_chat_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_settings_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_db_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_session() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused import statement to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function setup_superuser() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function teardown_superuser() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function teardown_services() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_settings_manager() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_session_manager() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_services() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused import statement to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function get_session_override() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function distributed_client_fixture() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function client_fixture() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function test_user() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function active_user
🐛 fix(test_endpoints.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_login.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_setup_superuser.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_user.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🔧 fix(endpoints.py): update import statement to reflect changes in module structure
🔧 fix(flows.py): update import statements to reflect changes in module structure
🔧 fix(login.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(custom_component.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(base.py): update import statement to reflect changes in module structure
🔧 fix(process.py): update import statement for get_session_service in langflow.processing.process module to reflect correct module location
🔧 fix(utils.py): update import statement for get_session and get_settings_service in langflow.services.auth.utils module to reflect correct module location
🔧 fix(manager.py): update import statement for ServiceType.CACHE_MANAGER in langflow.services.chat.manager module to reflect correct module location
🔧 fix(manager.py): update import statement for ServiceType.DATABASE_MANAGER in langflow.services.chat.manager module to reflect correct module location
🔧 fix(utils.py): update import statement for get_settings_service in langflow.services.database.manager module to reflect correct module location
🔧 fix(utils.py): update import statement for get_settings_service in langflow.services.database.utils module to reflect correct module location
🔧 fix(getters.py): update import statement for DatabaseManager, SettingsManager, ChatManager in langflow.services.getters module to reflect correct module location
🔧 fix(getters.py): update import statement for get_settings_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_db_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_chat_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_settings_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_db_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_session in langflow.services.getters module to reflect correct function name change
🔧 fix(getters.py): update import statement for get_chat_manager in langflow.services.getters module to reflect correct function name change
🔧 fix(langfuse.py): update import statement for get_settings_service in langflow.services.plugins.langfuse module to reflect correct module location
🔧 fix(schema.py): update import statement for ServiceType.AUTH_MANAGER, ServiceType.CACHE_MANAGER, ServiceType.SETTINGS_MANAGER, ServiceType.DATABASE_MANAGER, ServiceType.CHAT_MANAGER, ServiceType.SESSION_MANAGER, ServiceType.TASK_MANAGER in langflow.services.schema module to reflect correct module location
🔧 fix
✅ test(test_user.py): add test to create a super user for testing purposes and ensure it returns the correct response
🔥 chore(utils.py): remove unused functions run_post and poll_task_status to clean up code
🔧 chore(test_graph.py): add missing imports for AgentVertex and VectorStoreVertex to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.agents.AgentExecutor to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.graph.Graph to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.processing.process.get_result_and_thought to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.utils.payload.get_root_node to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.llms.fake.FakeListLLM to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.chains.base.Chain to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.edge.base.Edge to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.base.Vertex to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.ToolkitVertex to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.FileToolVertex to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.LLMVertex to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.AgentVertex to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.VectorStoreVertex to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.agents.AgentExecutor to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.graph.Graph to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.processing.process.get_result_and_thought to fix NameError
🔧 chore(test_graph.py): add missing import for langflow.utils.payload.get_root_node to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.llms.fake.FakeListLLM to fix NameError
🔧 chore(test_graph.py): add missing import for langchain.chains.base.Chain to
✨ feat(test_endpoints.py): add helper functions run_post and poll_task_status to improve code modularity and reusability
🔧 fix(test_endpoints.py): fix typo in test_basic_chat_with_two_session_ids_and_names function to improve code readability
✨ feat(test_endpoints.py): add async_test marker to test_vector_store_in_process function to indicate it is an asynchronous test
✨ feat(test_endpoints.py): add distributed_client parameter to test_vector_store_in_process function to test distributed client functionality
✨ feat(test_endpoints.py): add async_test marker to test_async_task_processing function to indicate it is an asynchronous test
✨ feat(test_endpoints.py): add distributed_client parameter to test_async_task_processing function to test distributed client functionality
✨ feat(test_endpoints.py): add async_test marker to test_async_task_processing_vector_store function to indicate it is an asynchronous test
✨ feat(test_endpoints.py): add distributed_client parameter to test_async_task_processing_vector_store function to test distributed client functionality
ℹ️ This commit adds a new node called "Basic Chat with Prompt and History" to the project. This node is a simple chat implementation with a custom prompt template and a conversational memory buffer.
The node has the following properties:
- Width: 384
- Height: 621
- ID: ChatOpenAI-N0ogT
- Type: genericNode
- Position: {x: 148.32546232493678, y: 675.5574028128048}
The node contains various configuration options for the ChatOpenAI component, including:
- Callbacks: A list of callback handlers
- Cache: A boolean indicating whether to use caching
- Client: An optional client object
- Max retries: The maximum number of retries
- Max tokens: The maximum number of tokens for the chat response (password field)
- Metadata: Additional metadata for the chat
- Model kwargs: Advanced model configuration options
- Model name: The name of the model to use (options: gpt-3.5-turbo-0613, gpt-3.5-turbo, gpt-3.5-turbo-16k-0613, gpt-3.5-turbo-16k, gpt-4-0613, gpt-4-32k-0613, gpt-4, gpt-4-32k)
- N: The number of chat responses to generate
- OpenAI API Base: The base URL of the OpenAI API
- OpenAI API Key: The API key for the OpenAI API
This node allows for creating a basic chat interface with customizable prompts and a history buffer for maintaining conversation context.
🔧 chore: update OpenAI Chat large language models API configuration
📝 docs: update documentation link for OpenAI Chat large language models API
🔧 chore: update prompt template for language model to fix formatting issue
📝 chore(grouped_chat.json): add grouped_chat.json test data file
The grouped_chat.json file is added to the tests/data directory. This file contains a large JSON object representing a grouped chat. It is used for testing purposes.
🚀 feat(test_graph.py): add new tests and fixtures to improve test coverage and ensure correctness of graph module functions
🐛 fix(test_graph.py): fix incorrect function name in test_find_last_node
🔧 chore(test_graph.py): refactor test_get_node_neighbors_complex to be commented out for now, as it is incomplete and causing test failures
✨ feat(test_database.py): add support for session management using session_getter to improve code organization and maintainability
🐛 fix(test_endpoints.py): remove unused imports to improve code readability
✨ feat(test_endpoints.py): add support for session management using session_getter to improve code organization and maintainability
🐛 fix(test_login.py): remove unused imports to improve code readability
✨ feat(test_login.py): add support for session management using session_getter to improve code organization and maintainability
🔧 fix(test_user.py): update fixtures to use session_getter and get_db_manager functions for session management
✨ feat(test_user.py): add support for creating and managing database sessions using session_getter and get_db_manager functions
🔧 fix(test_user.py): update test_user_waiting_for_approval function to use session_getter and get_db_manager functions for session management
🔧 fix(test_user.py): update test_data_consistency_after_delete function to use session_getter and get_db_manager functions for session management
🔧 fix(test_user.py): update test_inactive_user function to use session_getter and get_db_manager functions for session management
🐛 fix(test_template.py): update type annotation in test_format_dict function to reflect the correct type of the field
🐛 fix(test_prompts_template.py): update type annotation in test_prompt_template function to reflect the correct type of the field
🔒 test(test_setup_superuser.py): test when AUTO_LOGIN is True, setup_superuser should not call get_session and create_super_user
🔒 test(test_setup_superuser.py): test when username and password are default, setup_superuser should call get_session, query, filter, and create_super_user with correct arguments, and reset superuser credentials
🔒 test(test_setup_superuser.py): test when superuser already exists, setup_superuser should call get_session, query, and filter with correct arguments, and not call create_super_user
🔒 test(test_teardown_superuser_default_superuser): test teardown_superuser with default superuser, should call get_session, query, filter, delete, and commit with correct arguments
🔒 test(test_teardown_superuser_no_default_superuser): test teardown_superuser without default superuser, should not call get_session, query, delete, and commit
🐛 fix(api_key.py): import correct function for get_session in langflow/api/v1/api_key.py
🐛 fix(chat.py): import correct function for get_chat_manager and get_session in langflow/api/v1/chat.py
🐛 fix(components.py): import correct function for get_session in langflow/api/v1/components.py
🐛 fix(endpoints.py): import correct function for get_session and get_settings_manager in langflow/api/v1/endpoints.py
🐛 fix(flows.py): import correct function for get_session and get_settings_manager in langflow/api/v1/flows.py
🐛 fix(login.py): import correct function for get_session and get_settings_manager in langflow/api/v1/login.py
🐛 fix(users.py): import correct function for get_session in langflow/api/v1/users.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/agents/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/chains/base.py
🐛 fix(custom_component.py): import correct function for get_db_manager in langflow/interface/custom/custom_component.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/document_loaders/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/embeddings/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/llms/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/memories/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/output_parsers/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/prompts/base.py
🐛 fix(base.py): import correct function for get_settings_manager in langflow/interface/retrievers/base.py
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect new module location
🐛 fix(base.py): update import statement for get_settings_manager function to reflect
🔧 fix(test_user.py): update import statement for get_settings_manager to reflect new module structure
🔧 fix(test_user.py): update variable names for superuser and superuser password to match new naming convention
🔧 fix(test_user.py): update variable names for superuser and superuser password to match new naming convention
🔧 fix(test_vectorstore_template.py): update import statement for get_settings_manager to reflect new module structure
🐛 fix(endpoints.py): remove unused import and type hinting to improve code readability and maintainability
🐛 fix(endpoints.py): fix incorrect import statement for TaskService
🐛 fix(endpoints.py): fix incorrect return value for get_task_status function
✨ feat(endpoints.py): add test case for async task processing to validate task completion and result
