🔧 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
🔧 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
🐛 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(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
✨ feat(tests): add assertion for response status code 201 after creating a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user" to "/api/v1/users/whoami" to fetch the updated user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 401 and detail message after fetching the updated user
✨ feat(tests): add assertion for response status code 200 after deleting a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 200 and detail message after deleting a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 304 after patching user data
✨ feat(tests): add assertion for response status code 200 after resetting user password
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 422 and detail message after patching user data with wrong id
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response
🔧 chore(conftest.py): add pytest fixture for loading JSON flow with prompt and history
🔧 chore(conftest.py): add pytest fixture for adding a flow with prompt and history to the database
✨ feat(conftest.py): add fixture 'flow' to create a test flow in tests/conftest.py
🐛 fix(test_endpoints.py): import missing get_settings_manager function in tests/test_endpoints.py to fix NameError
✨ feat(test_endpoints.py): add test case 'test_process_flow_without_autologin' to test flow processing without auto login
🐛 fix(test_endpoints.py): fix incorrect endpoint URL in test case 'test_process_flow_without_autologin' in tests/test_endpoints.py
✨ feat(test_endpoints.py): add test case 'test_process_flow_fails_autologin_off' to test flow processing failure when auto login is off
🐛 fix(base.py): add optional user_id parameter to _build and _build_list_of_nodes_and_update_params methods in Vertex class to support building with user-specific data
🐛 fix(base.py): add optional user_id parameter to _get_and_instantiate_class method in Vertex class to support building with user-specific data
🐛 fix(custom_component.py): add user_id attribute to CustomComponent class to store the user ID associated with the component
🐛 fix(custom_component.py): add user_id parameter to list_flows method in CustomComponent class to filter flows by user ID
🐛 fix(custom_component.py): add user_id parameter to get_flow method in CustomComponent class to filter flows by user ID
🐛 fix(conftest.py): add client parameter to active_user fixture in tests to fix missing dependency error
✨ feat(test_api_key.py): add tests for API key creation, retrieval, and deletion
✨ feat(test_user.py): remove unused fixtures and imports from test_user.py module
✨ feat(conftest.py): add session_getter fixture to create a blank session for testing
🔧 fix(test_custom_component.py): pass session_getter fixture to list_flows function for testing
The following changes were made:
- Removed the `custom_chain` fixture and the `MyCustomChain` and `CustomChain` classes as they were not being used.
- Removed the `data_processing`, `filter_docs`, `get_request`, and `post_request` fixtures as they were not being used.
🔧 fix(test_agents_template.py): set "dynamic" property to False for all template variables to ensure consistency and improve clarity
🐛 fix(test_chains_template.py): add missing "dynamic" field to template dictionaries to ensure consistency and avoid potential bugs
🔧 fix(test_custom_component.py): fix import statements and remove unused imports to improve code readability and maintainability
✨ feat(test_custom_component.py): add tests for the initialization of the CodeParser, Component, and CustomComponent classes
🔧 fix(test_custom_component.py): fix test names and add missing test cases for the Component and CustomComponent classes
🔨 refactor: refactor server.ts to use uppercase PORT variable for improved semantics
✨ feat: add support for process.env.PORT environment variable to run app on configurable port
🔨 refactor: refactor CustomComponent tests for improved readability and maintainability
🔨 refactor: refactor CodeParser tests for improved readability and maintainability
🔨 refactor: refactor Component tests for improved readability and maintainability
🐛 fix: fix CustomComponent class template validation to raise HTTPException when code is None
🔧 fix(tests): fix syntax error in custom_component._class_template_validation
✨ feat(tests): add test_custom_component_get_code_tree_syntax_error to test CustomComponent.get_code_tree method for raising CodeSyntaxError when given incorrect syntax
✨ feat(tests): add test_custom_component_get_function_entrypoint_args_no_args to test CustomComponent.get_function_entrypoint_args property with a build method with no arguments
✨ feat(tests): add test_custom_component_get_function_entrypoint_return_type_no_return_type to test CustomComponent.get_function_entrypoint_return_type property with a build method with no return type
✨ feat(tests): add test_custom_component_get_main_class_name_no_main_class to test CustomComponent.get_main_class_name property when there is no main class
✨ feat(tests): add test_custom_component_build_not_implemented to test CustomComponent.build method for raising NotImplementedError
✨ feat(tests): add fixtures for custom_chain, data_processing, filter_docs, and get_request
🔧 fix(tests): remove commented out code and unused imports to improve code readability and maintainability
🐛 fix(test_llms_template.py): set "dynamic" property to False for all template properties to ensure static values are used
🐛 fix(test_prompts_template.py): set "dynamic" property to False for all template properties to ensure consistency and improve readability
- Refactor code parsing in `code_parser.py` to handle imports, function definitions, and class attributes more robustly and cleanly.
- Add new methods in `component.py` to parse Assign and AnnAssign statements, and FunctionDef statements.
- Refactor `custom_component.py` to improve the handling of custom components, including better extraction of main class name and template configuration.
- Update `types.py` to better handle the building of custom component templates, including handling of field configurations and error handling.
- Minor formatting fix in `conftest.py` test fixture.
These changes improve the robustness and readability of the code, and provide better handling and validation of custom components.
🔨 refactor(constants.py): make YourComponent inherit from CustomComponent for better code reuse and structure
🔨 refactor(conftest.py): restructure custom_chain fixture for better readability and maintainability
✨ feat(conftest.py): add MyCustomChain class as an example of a custom chain
✨ feat(conftest.py): add CustomChain class as a custom component for building a document
✨ feat(conftest.py): add CSVLoaderComponent class as a custom component for loading CSV files and converting rows to documents
🚨 test(test_websocket.py): add tests for build init, stream, and websocket endpoint
The `basic_graph_data` fixture is added to load the basic example data. The `test_init_build`, `test_stream_build`, and `test_websocket_endpoint` tests are added to test the build init, stream, and websocket endpoint. The `test_websocket_endpoint_after_build` test is added to test the websocket endpoint after the build.
✨ feat(router.py): add new routers for flows and flow styles
🔧 refactor(__init__.py): add new routers to __all__ list
🔧 refactor(conftest.py): update import statement for get_session function
The unused code and endpoints related to flows have been removed from the database.py file. New routers for flows and flow styles have been added to the router.py file. The __all__ list in the __init__.py file has been updated to include the new routers. The import statement for the get_session function in the conftest.py file has been updated to reflect the new location of the function.
✨ feat(flow.py): add validator to ensure flow field is a valid JSON object with required fields
The flow field in the FlowBase model has been changed from a string to a dictionary to allow for JSON data. A validator has been added to ensure that the flow field is a valid JSON object with the required fields. The tests have been updated to reflect these changes.
