### `response_model` Priority

If you declare both a return type and a `response_model`, the `response_model` will take priority and be used by FastAPI.

    {!> ../../../docs_src/response_model/tutorial001_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="17  22  24-27"
    {!> ../../../docs_src/response_model/tutorial001.py!}
    ```

!!! note "Hinweis"
    Beachten Sie, dass `response_model` ein Parameter der „Dekorator“-Methode ist (`get`, `post`, usw.). Nicht der *Pfadoperation-Funktion*, so wie die anderen Parameter.

import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.ParameterDisplay
import model.CIBuildModel
import model.PerformanceTestBuildSpec
import model.PerformanceTestType
import model.Stage

class PerformanceTest(
    model: CIBuildModel,
    stage: Stage,
    performanceTestBuildSpec: PerformanceTestBuildSpec,
    description: String,
    performanceSubProject: String,

Тим самим способом ця база даних не прийматиме об'єкт типу Pydantic model (об'єкт з атрибутами), а лише `dict`.

Ви можете використовувати `jsonable_encoder` для цього.

Вона приймає об'єкт, такий як Pydantic model, і повертає його версію, сумісну з JSON:

=== "Python 3.10+"

    ```Python hl_lines="4  21"

```

!!! info
    In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

    The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

!!! note

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.buildutils.tasks

import com.google.gson.GsonBuilder
import gradlebuild.buildutils.model.GradleSubproject
import org.gradle.api.DefaultTask
import org.gradle.api.tasks.Internal
import org.gradle.work.DisableCachingByDefault
import java.io.File
import kotlin.io.path.invariantSeparatorsPathString

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

* Fix type declaration of `response_model` to allow generic Python types as `List[Model]`. Mainly to fix `mypy` for users. PR [#266](https://github.com/tiangolo/fastapi/pull/266).

## 0.25.0

* Add support for Pydantic's `include`, `exclude`, `by_alias`.
    * Update documentation: [Response Model](https://fastapi.tiangolo.com/tutorial/response-model/#response_model_include-and-response_model_exclude).

]

[tool.coverage.run]
parallel = true
source = [
    "docs_src",
    "tests",
    "fastapi"
]
context = '${CONTEXT}'
omit = [
    "docs_src/response_model/tutorial003_04.py",
    "docs_src/response_model/tutorial003_04_py310.py",
]

[tool.ruff.lint]
select = [
    "E",  # pycodestyle errors
    "W",  # pycodestyle warnings
    "F",  # pyflakes
    "I",  # isort

Many packages that simplify it a lot have to make many compromises with the data model, database, and available features. And some of these packages that simplify things too much actually have security flaws underneath.

---

**FastAPI** doesn't make any compromise with any database, data model or tool.

It gives you all the flexibility to choose the ones that fit your project the best.