--- title: Middleware factory description: Utility --- Middleware factory provides a decorator factory to create your own middleware to run logic before, and after each Lambda invocation synchronously. ## Key features * Run logic before, after, and handle exceptions * Built-in tracing opt-in capability ## Getting started ???+ tip All examples shared in this documentation are available within the [project repository](https://github.com/aws-powertools/powertools-lambda-python/tree/develop/examples){target="_blank"}. You might need a custom middleware to abstract non-functional code. These are often custom authorization or any reusable logic you might need to run before/after a Lambda function invocation. ### Middleware with no params You can create your own middleware using `lambda_handler_decorator`. The decorator factory expects 3 arguments in your function signature: * **handler** - Lambda function handler * **event** - Lambda function invocation event * **context** - Lambda function context object ### Middleware with before logic === "getting_started_middleware_before_logic_function.py" ```python hl_lines="5 26 27 35 36 38 41 42" --8<-- "examples/middleware_factory/src/getting_started_middleware_before_logic_function.py" ``` === "getting_started_middleware_before_logic_payload.json" ```json hl_lines="9-13" --8<-- "examples/middleware_factory/src/getting_started_middleware_before_logic_payload.json" ``` ### Middleware with after logic === "getting_started_middleware_after_logic_function.py" ```python hl_lines="8 14 15 24-26 40 41" --8<-- "examples/middleware_factory/src/getting_started_middleware_after_logic_function.py" ``` === "getting_started_middleware_after_logic_payload.json" ```json --8<-- "examples/middleware_factory/src/getting_started_middleware_after_logic_payload.json" ``` ### Middleware with params You can also have your own keyword arguments after the mandatory arguments. === "getting_started_middleware_with_params_function.py" ```python hl_lines="6 30 31 41 53 54" --8<-- "examples/middleware_factory/src/getting_started_middleware_with_params_function.py" ``` === "getting_started_middleware_with_params_payload.json" ```json hl_lines="18 19 20" --8<-- "examples/middleware_factory/src/getting_started_middleware_with_params_payload.json" ``` ### Environment variables The following environment variable is available to configure the middleware factory at a global scope: | Setting | Description | Environment variable | Default | |----------------------|------------------------------------------------------------------------------|-----------------------------------------|---------| | **Middleware Trace** | Creates sub-segment for each custom middleware. | `POWERTOOLS_TRACE_MIDDLEWARES` | `false` | You can also use [`POWERTOOLS_TRACE_MIDDLEWARES`](#tracing-middleware-execution) on a per-method basis, which will consequently override the environment variable value. ## Advanced For advanced use cases, you can instantiate [Tracer](../core/tracer.md){target="_blank"} inside your middleware, and add annotations as well as metadata for additional operational insights. === "advanced_middleware_tracer_function.py" ```python hl_lines="7 9 12 16 17 22 28 45 46" --8<-- "examples/middleware_factory/src/advanced_middleware_tracer_function.py" ``` === "advanced_middleware_tracer_payload.json" ```json --8<-- "examples/middleware_factory/src/advanced_middleware_tracer_payload.json" ``` ![Middleware advanced Tracer](../media/middleware_factory_tracer_2.png) ### Tracing middleware **execution** If you are making use of [Tracer](../core/tracer.md){target="_blank"}, you can trace the execution of your middleware to ease operations. This makes use of an existing Tracer instance that you may have initialized anywhere in your code. ???+ warning You must [enable Active Tracing](../core/tracer.md#permissions){target="_blank"} in your Lambda function when using this feature, otherwise Lambda cannot send traces to XRay. === "getting_started_middleware_tracer_function.py" ```python hl_lines="8 14 15 39 40" --8<-- "examples/middleware_factory/src/getting_started_middleware_tracer_function.py" ``` === "getting_started_middleware_tracer_payload.json" ```json hl_lines="18 19 20" --8<-- "examples/middleware_factory/src/getting_started_middleware_tracer_payload.json" ``` When executed, your middleware name will [appear in AWS X-Ray Trace details as](../core/tracer.md){target="_blank"} `## middleware_name`, in this example the middleware name is `## middleware_with_tracing`. ![Middleware simple Tracer](../media/middleware_factory_tracer_1.png) ### Combining Powertools for AWS Lambda (Python) utilities You can create your own middleware and combine many features of Powertools for AWS Lambda (Python) such as [trace](../core/logger.md){target="_blank"}, [logs](../core/logger.md){target="_blank"}, [feature flags](feature_flags.md){target="_blank"}, [validation](validation.md){target="_blank"}, [jmespath_functions](jmespath_functions.md){target="_blank"} and others to abstract non-functional code. In the example below, we create a Middleware with the following features: * Logs and traces * Validate if the payload contains a specific header * Extract specific keys from event * Automatically add security headers on every execution * Validate if a specific feature flag is enabled * Save execution history to a DynamoDB table === "combining_powertools_utilities_function.py" ```python hl_lines="11 28 29 56 64 77 123" --8<-- "examples/middleware_factory/src/combining_powertools_utilities_function.py" ``` === "combining_powertools_utilities_schema.py" ```python hl_lines="12 14" --8<-- "examples/middleware_factory/src/combining_powertools_utilities_schema.py" ``` === "combining_powertools_utilities_event.json" ```python hl_lines="10" --8<-- "examples/middleware_factory/src/combining_powertools_utilities_event.json" ``` === "SAM TEMPLATE" ```python hl_lines="66 83 89 96 103 108-113 119 130" --8<-- "examples/middleware_factory/sam/combining_powertools_utilities_template.yaml" ``` ## Tips * Use `trace_execution` to quickly understand the performance impact of your middlewares, and reduce or merge tasks when necessary * When nesting multiple middlewares, always return the handler with event and context, or response * Keep in mind [Python decorators execution order](https://realpython.com/primer-on-python-decorators/#nesting-decorators){target="_blank" rel="nofollow"}. Lambda handler is actually called once (top-down) * Async middlewares are not supported