Anže Sodja <******@****.***> 1673863232 +0100

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have...

    * Si on n'utilisait pas FastAPI mais directement Starlette (ou un outil équivalent comme Sanic, Flask, Responder, etc) il faudrait implémenter la validation des données et la sérialisation par nous-même. Le résultat serait donc le même dans...

// RUN: tf-opt -verify-input-dialect-to-executor-pass  -split-input-file -verify-diagnostics %s | FileCheck %s
// Tests the VerifyClusteringPass Pass, ensures that an error is thrown when validation fails.

// -----

// CHECK-LABEL: func @testNoClusterFuncOpPasses
func.func @testNoClusterFuncOpPasses(%arg0: tensor<4x?x!tf_type.stringref>) -> tensor<4x2x!tf_type.string> {
  %0 = "tf.Identity"(%arg0) : (tensor<4x?x!tf_type.stringref>) -> tensor<4x2x!tf_type.string>

        - ""
        - -b
        - '*'
        - -d
        - 15090,15021,15020
        - --log_output_level=default:info
        - --run-validation
        - --skip-rule-apply
        image: gcr.io/istio-testing/proxyv2:latest
        name: istio-validation
        resources:
          limits:
            cpu: "2"
            memory: 1Gi
          requests:
            cpu: 100m

# Body - Fields

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field`

First, you have to import it:

=== "Python 3.10+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

But by default, it all **"just works"**.

### Validation

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.

        - ""
        - -b
        - '*'
        - -d
        - 15090,15021,15020
        - --log_output_level=default:info
        - --run-validation
        - --skip-rule-apply
        image: gcr.io/istio-testing/proxyv2:latest
        name: istio-validation
        resources:
          limits:
            cpu: "2"
            memory: 1Gi
          requests:
            cpu: 100m

        - ""
        - -b
        - '*'
        - -d
        - 15090,15021,15020
        - --log_output_level=default:info
        - --run-validation
        - --skip-rule-apply
        image: gcr.io/istio-testing/proxyv2:latest
        name: istio-validation
        resources:
          limits:
            cpu: "2"
            memory: 1Gi
          requests:
            cpu: 100m

        - ""
        - -b
        - '*'
        - -d
        - 15090,15021,15020
        - --log_output_level=default:info
        - --run-validation
        - --skip-rule-apply
        image: gcr.io/istio-testing/proxyv2:latest
        name: istio-validation
        resources:
          limits:
            cpu: "2"
            memory: 1Gi
          requests:
            cpu: 100m