♻️ (monitor.py): change delete_messages endpoint to POST for better semantics
♻️ (monitor.py): update delete_messages to use MessageIds schema
✨ (schemas.py): add MessageIds schema for structured message deletion
🐛 (service.py): fix SQL query in delete_messages to use correct column name
✨ (index.tsx): add toTitleCase utility to format column headers
✨ (API/index.ts): add deleteMessagesFn to handle message deletion via API
✨ (headerMessages): add HeaderMessagesComponent for message management UI
✨ (use-messages-table): add useMessagesTable hook to fetch and manage messages
✨ (use-remove-messages): add useRemoveMessages hook to handle message deletion
♻️ (messagesPage): refactor messages page to use new messages store
✨ (messagesStore): create zustand store for managing messages state
✨ (types): add types for messages and zustand messages store
The serialize_datetime function in model.py has been updated to handle the "updated_at" and "created_at" fields. The function now converts datetime values to ISO 8601 format with timezone information. This change ensures consistent serialization of datetime values in the codebase.
Note: The commit message has been generated based on the provided code changes and recent commits.
Simplify the logic for creating new output fields in the `updateNewOutput` function of `reactflowUtils.ts`. Instead of mapping over the `outputTypes` array, directly assign a new output field to `sourceNode.data.node!.outputs`. The new output field includes the `outputTypes` as `types`, sets `selected` based on the `selected` variable, and sets `name` as a string representation of `outputTypes` joined with " | ". This change improves the clarity and efficiency of the code.
This commit adds new API endpoints for managing messages. It includes the ability to delete messages by their IDs, update a specific message, and delete all messages associated with a session. These changes are implemented in the `monitor.py`, `schema.py`, and `service.py` files.
This commit adds the `ComponentFrontendNode` class to the `CustomComponent` module. The `ComponentFrontendNode` class defines a new frontend node for the `Component` type. It includes a template with a code input field. This change enhances the functionality and flexibility of the `CustomComponent` module.
This commit adds the set_attributes method to the CustomComponent class in the custom_component.py file. The set_attributes method allows for setting attributes of the CustomComponent instance based on a dictionary of key-value pairs. This change enhances the flexibility and configurability of the CustomComponent class.
This commit adds the __bool__ method to the CacheMiss class in the utils.py file. The __bool__ method returns False, allowing the CacheMiss object to be treated as False in boolean expressions. This change improves the functionality and usability of the CacheMiss class.
This commit updates the `get_all` endpoint in the `endpoints.py` file to use `async` and `await` keywords. By making the `get_all` function asynchronous, it allows for better performance and responsiveness when retrieving all types from the langchain. This change improves the overall efficiency of the codebase.
This commit adds the `MultipleOutputsComponent` class to the `CustomComponent` module. The `MultipleOutputsComponent` class defines multiple inputs and outputs for the component. The `inputs` field includes an input for a string and an input for a number. The `outputs` field includes an output for a certain output and an output for another output. This change enhances the functionality and flexibility of the `CustomComponent` module.
This commit updates the title in the GenericNode component to use the `name` property instead of the `selected` or `types[0]` properties. This change improves the accuracy and clarity of the code.
The pre-commit configuration file `.pre-commit-config.yaml` was updated to remove the `pretty-format-json` hook and exclude `tsconfig.*.json` files. This change improves the formatting consistency of the codebase.
Note: The commit message has been generated based on the provided code changes and recent commits.
This commit adds the `inputs` and `outputs` fields to the `CustomComponent` class in the `custom_component.py` file. The `inputs` field is of type `List[Input]` and the `outputs` field is of type `List[Output]`. This change allows for better organization and management of the component's input and output fields.
This commit migrates the base classes of the FrontendNode to the outputs field. Each base class is converted into an OutputField with the same name and type. This change ensures consistency and improves the structure of the code.
This commit updates the field types in the `prompt.py` and `formatter/base.py` modules. The `DefaultPromptField` class in `prompt.py` now inherits from `InputField` instead of `TemplateField`. Similarly, the `format` method in the `FieldFormatter` class in `formatter/base.py` now accepts an `InputField` parameter instead of a `TemplateField` parameter. These changes ensure consistency and improve the accuracy of the code.
The code changes in this commit update the API modal utils to use the `InputFieldType` type instead of the deprecated `TemplateVariableType`. This change ensures that the codebase is up to date with the latest API types and improves the accuracy and clarity of the code.
* chore: Update utils.py to handle SecretStr field type as str with password and load_from_db attributes
* Update utils.py to handle SecretStr field type as str with password and load_from_db attributes
* docs(migration): add UPSTASH_VECTOR_REST_URL and UPSTASH_VECTOR_REST_TOKEN to the list of default environment variables
pyproject.toml: add upstash-vector package as a dependency with version 0.4.0
src/backend/base/langflow/components/vectorsearch/UpstashSearch.py: create UpstashSearchComponent for implementing a Vector Store using Upstash
src/backend/base/langflow/components/vectorstores/Upstash.py: create UpstashVectorStoreComponent for implementing a Vector Store using Upstash
src/backend/base/langflow/services/settings/constants.py: add UPSTASH_VECTOR_REST_URL and UPSTASH_VECTOR_REST_TOKEN to the list of variables to get from the environment
* ✨ (UpstashSearch.py): Add support for 'number_of_results' and 'text_key' parameters in UpstashSearchComponent to enhance search functionality
♻️ (Upstash.py): Refactor UpstashVectorStoreComponent to include 'text_key' parameter for consistency and improved functionality
* ♻️ (Upstash.py): refactor UpstashVectorStoreComponent to improve code readability and maintainability by restructuring the instantiation of UpstashVectorStore instances based on conditions and adding support for adding documents directly to the instance.
* feat: Update langchain-core, langchainhub, langsmith, and requests dependencies to latest versions
The code changes include adding a new step in the `.github/workflows/docker-build.yml` file to wait for Docker Hub to propagate. Additionally, a new script `factory_restart_space.py` is added in the `scripts` directory to restart the HuggingFace Spaces build. This script uses the `HfApi` and `rich` libraries to interact with the HuggingFace Hub API and print the space runtime.
Note: The commit message has been generated based on the provided code changes and recent commits.
The code changes include adding a new step in the `.github/workflows/docker-build.yml` file to wait for Docker Hub to propagate. Additionally, a new script `factory_restart_space.py` is added in the `scripts` directory to restart the HuggingFace Spaces build. This script uses the `HfApi` and `rich` libraries to interact with the HuggingFace Hub API and print the space runtime.
Note: The commit message has been generated based on the provided code changes and recent commits.
♻️ (TableComponent): remove unused useCallback import and add autoHeight
✨ (convert-to-table-rows): add helper function to convert objects to table rows
♻️ (SwitchOutputView): refactor to use new convertToTableRows helper and improve type checks
♻️ (OutputModal): change modal size to medium-log for better visualization
♻️ (IOFieldView): refactor to use new rows and columnMode props in RecordsOutputComponent
♻️ (baseModal): remove unnecessary comma in ReactElement type array
✨ (baseModal): add new size option "medium-log" for modal component
♻️ (textOutputView): simplify TextOutputView component props
♻️ (api): add params and messages to VertexBuildTypeAPI
♻️ (api): add type to logs in VertexDataTypeAPI
♻️ (api): make artifacts optional in VertexDataTypeAPI
♻️ (chat): make artifacts optional in FlowPoolObjectType
✨ (components): add playgroundDisabled to InputListComponentType
♻️ (components): fix formatting in various component types
♻️ (utils.ts): remove unused imports to clean up the code
✨ (utils.ts): add 'all' mode to extractColumnsFromRows for more flexibility
* Remove outdated pages from example folder
* Repopulate with component-of-the-day pages with videos
* Update Notion index image
* Python version 3.10 -> Python >= 3.10
* feat: read flows from local directory at startup
* cleanup
* add check
* fix
* fix
* fix by endpoint name
---------
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
* feat: Add support for running flows by endpoint name
This commit modifies the `simplified_run_flow` endpoint in `endpoints.py` to allow running flows using the endpoint name instead of the flow ID. It introduces a new route parameter `flow_id_or_name` which can accept either a UUID or a string representing the endpoint name. The code first attempts to parse the parameter as a UUID, and if that fails, it queries the database to find a flow with the matching endpoint name. This change improves the usability of the API by providing an alternative way to identify flows for execution.
* feat: Add endpoint_name field to FlowType
This commit adds the `endpoint_name` field to the `FlowType` interface in the `index.ts` file. The `endpoint_name` field is an optional string that represents the name of the endpoint associated with the flow. This change allows for more flexibility in identifying flows by endpoint name instead of just the flow ID. It improves the usability of the codebase by providing an alternative way to reference flows.
* 🐛 (endpoints.py): change type of flow_id_or_name parameter from Union[str, UUID] to str to simplify the API and improve readability
* feat: Add migration utility functions for table, column, foreign key, and constraint existence checks
This commit adds utility functions to the `migration.py` module in the `langflow.utils` package. These functions provide convenient ways to check the existence of tables, columns, foreign keys, and constraints in a database using SQLAlchemy. The functions `table_exists`, `column_exists`, `foreign_key_exists`, and `constraint_exists` take the table name, column name, foreign key name, and constraint name respectively, along with the SQLAlchemy engine or connection object. They use the `Inspector` class from `sqlalchemy.engine.reflection` to retrieve the necessary information and return a boolean value indicating whether the specified element exists in the database. These utility functions improve the readability and maintainability of the codebase by encapsulating the common existence checks in a reusable and modular way.
* feat: Add unique constraints for per-user folders and flows
This commit adds unique constraints for per-user folders and flows in the database. It introduces the `unique_folder_name` constraint for the `folder` table, ensuring that each user can have only one folder with a specific name. Similarly, it adds the `unique_flow_endpoint_name` and `unique_flow_name` constraints for the `flow` table, enforcing uniqueness of endpoint names and flow names per user. These constraints improve data integrity and prevent duplicate entries in the database, providing a more robust and reliable system.
* feat: Add poetry installation and caching steps to GitHub Actions workflow
This commit updates the GitHub Actions workflow file `action.yml` to include additional steps for installing poetry and caching its dependencies. The `run` step now installs poetry using the specified version and ensures that the poetry binary is available in the PATH. Additionally, the workflow now includes a step to restore pip and poetry cached dependencies using the `actions/cache` action. These changes improve the workflow by providing a more efficient and reliable way to manage poetry dependencies and caching.
* refactor: Improve error handling in update_flow function
This commit improves the error handling in the `update_flow` function in `flows.py`. It adds a new `elif` condition to check if the exception is an instance of `HTTPException` and re-raises it. This ensures that any `HTTPException` raised during the update process is properly handled and returned as a response. Additionally, it removes the unnecessary `else` block and simplifies the code logic. This refactor enhances the reliability and maintainability of the `update_flow` function.
