* refactor: Update pytest arguments in Makefile for better test execution
The Makefile has been modified to update the pytest arguments in the `tests` target. The `--instafail` flag has been replaced with `-ra -n auto -m "not api_key_required"`. This change allows for better test execution by including additional options for reporting, parallelization, and test selection.
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* ✨ (test_endpoints.py): add pytest marker 'api_key_required' to mark tests that require an API key for authorization. This helps in easily identifying and managing tests that need special permissions.
The Dockerfile `render.pre-release.Dockerfile` has been added to the repository, which sets the base image to `langflowai/langflow:1.0-alpha`. Additionally, the `render.yaml` file has been modified to use the new Dockerfile path `./docker/render.pre-release.Dockerfile` for the `langflow` web service. This change ensures that the pre-release version of the application is deployed correctly.
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The Makefile has been updated to add support for specifying the number
of workers for the uvicorn server. The pyproject.toml file has also been
updated to upgrade the uvicorn dependency to version 0.30.0.
Additionally, the DatabaseService class in service.py has been
refactored to use the pool_size and max_overflow settings from the
SettingsService. This change allows for better control over the number
of connections in the connection pool and the number of connections that
can be opened beyond the pool size. The create_engine function has also
been modified to pass the pool_size and max_overflow parameters.
The OpenAIModelComponent class in OpenAIModel.py has been updated to use the float type for the temperature parameter instead of the Optional[float] type. This change ensures consistency and improves code readability. The default value for the temperature parameter remains unchanged at 0.1.
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The DatabaseService class in service.py has been updated to use the settings_service object for retrieving the database URL instead of directly passing it as a parameter. This change improves code organization and ensures consistency with other services that rely on the settings_service. The necessary modifications have been made in both the DatabaseService class and the DatabaseServiceFactory class.
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The DatabaseService class in service.py has been updated to use the pool_size and max_overflow settings from the SettingsService. This change allows for better control over the number of connections in the connection pool and the number of connections that can be opened beyond the pool size. The commit also includes necessary modifications to the create_engine function to pass the pool_size and max_overflow parameters.
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The process_tweaks function in endpoints.py has been updated to include a new stream parameter. This change allows for more flexibility in processing tweaks based on the stream value. The commit also includes necessary modifications to the simple_run_flow function to pass the stream parameter to the process_tweaks function.
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The factory_restart_space.py script has been updated to use the value of the HUGGINFACE_API_TOKEN environment variable for the HfApi client token. This change improves security by avoiding hardcoding the token in the script and allows for flexibility in different environments.
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The getCurlRunCode function in get-curl-code.tsx has been updated to export it as a named export instead of the default export. This change improves the code organization and allows for better import statements in other modules.
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The getCurlRunCode function in get-curl-code.tsx has been updated to export it as a named export instead of the default export. This change improves the code organization and allows for better import statements in other modules.
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* Update FastAPI app configuration in main.py
* Add webhook endpoint
* Add Observer model and related changes to database models
* Update refresh button text in ParameterComponent
* Update database models and main.py, and add webhook endpoint and utils for flow model
* Add WebhookComponent to langflow data components
* Update webhook component names in flow data and remove unused code in edge/base.py and graph/base.py
* 🐛 (endpoints.py): fix an issue where the user_id was not being correctly assigned based on the api_key_user or flow object
* 📝 (endpoints.py): Update documentation for the webhook_run_flow endpoint to provide clearer information on its purpose, arguments, and return value. Remove outdated request JSON structure and example request sections. Add information on the arguments and exceptions raised for better clarity.
* chore: Remove unnecessary trailing commas in code files
* feat: Add yield statement to get_lifespan function
* feat: Update webhook columns revision ID
* Refactor import statements for OpenAI conversational agent
* refactor(constants.ts): remove unused tabsArray function and update function name to createTabsArray for clarity
feat(constants.ts): add support for including webhook code in tabs array based on flow webhook property
feat(index.tsx): update function calls to use new createTabsArray function and include webhook code in tabs array based on flow webhook property
refactor(utils.ts): remove trailing commas in function parameters to improve code consistency and readability
feat(utils.ts): add support for including webhook cURL code and tweaks code in tabs array creation for better code organization and presentation
* chore: Update folder_id parameter type to str in API endpoints
* feat: Handle invalid JSON payload in WebhookComponent
The code changes in `Webhook.py` modify the `build` method of the `WebhookComponent` class. If an invalid JSON payload is provided, instead of raising a `ValueError`, the code now handles the exception by creating a default payload with the provided data. The commit also includes a message that describes the invalid JSON payload for better error tracking.
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* refactor: Remove unnecessary code in main.py
* refactor: Update Alembic revision IDs for webhook columns
The Alembic revision IDs for adding webhook columns have been updated to reflect the latest changes. This ensures consistency and proper tracking of the database schema modifications.
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* 🐛 (endpoints.py): Fix handling of flow_id_or_name variable to correctly identify flow ID or endpoint name for running a flow. Improve error handling for invalid UUID strings and flow not found scenarios.
* refactor: Handle invalid JSON payload in WebhookComponent
The code changes in `Webhook.py` modify the `build` method of the `WebhookComponent` class. If an invalid JSON payload is provided, instead of raising a `ValueError`, the code now handles the exception by creating a default payload with the provided data.
* refactor: Update get_flow_by_id function to handle None flow_id parameter
The get_flow_by_id function in utils.py has been updated to handle the case where the flow_id parameter is None. Previously, the function would raise an exception if flow_id was not provided. Now, if flow_id is None, the function returns None instead of querying the database. This change improves the robustness of the function and allows for more flexible usage.
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* 📝 (endpoints.py): Add import statement for get_flow_by_id_or_endpoint_name function
📝 (flow.py): Add get_flow_by_id_or_endpoint_name function to retrieve a Flow object by ID or endpoint name
* refactor: Update get_flow_by_id_or_endpoint_name function to handle None flow_id parameter
* 🐛 (flow.py): replace ValueError with HTTPException to return a 404 status code when flow identifier is not found
* refactor: Update error message for flow identifier not found
The code changes in `test_endpoints.py` update the error message when a flow identifier is not found. Previously, the error message referenced the flow ID directly, but now it uses the more generic term "Flow identifier" to account for cases where the identifier could be an endpoint name. This change improves the clarity and flexibility of the error message.
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* 🔧 (endpoints.py): remove unnecessary flow_id_or_name parameter from the simple_run_flow function call to improve code readability and maintainability
The package versions in the pyproject.toml files for "langflow" and "langflow-base" have been updated. The version of "langflow" was changed from 1.0.0a42 to 1.0.0a43, and the version of "langflow-base" was changed from 0.0.53 to 0.0.54. This update ensures that the latest versions of the packages are being used in the codebase.
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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.
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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.
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* 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.
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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.
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* 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.