api(libs.conscrypt.openjdk)
  api(libs.openjsse)

  api(rootProject.libs.junit.jupiter.engine)

  // This runs Corretto on macOS (aarch64) and Linux (x86_64). We don't test Corretto on other
  // operating systems or architectures.
  api(variantOf(libs.amazonCorretto) {
    classifier(
      when {
        OperatingSystem.current().isMacOsX -> "osx-aarch_64"
        OperatingSystem.current().isLinux -> "linux-x86_64"

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

 * <ul>
 * <li>Query basic OS information like name, architecture, and version</li>
 * <li>Determine the OS family (e.g., Windows, Unix, Mac)</li>
 * <li>Check if the current OS is Windows-based</li>
 * </ul>
 * <p>
 * The service implementation uses system properties to detect OS characteristics:
 * <ul>
 * <li>os.name: The operating system name</li>
 * <li>os.arch: The operating system architecture</li>

 *
 * <p>This package contains the implementation of the Maven upgrade tool (mvnup) that helps
 * upgrade Maven projects to be compatible with Maven 4. The tool is organized around
 * a goal-based architecture with pluggable upgrade strategies.</p>
 *
 * <h2>Architecture Overview</h2>
 *
 * <h3>Goals</h3>
 * <ul>
 *   <li>{@link org.apache.maven.cling.invoker.mvnup.goals.Check} - Analyzes projects and reports needed upgrades</li>

```bash
# Generate code coverage reports
mvn jacoco:report

# License header validation
mvn apache-rat:check

# API compatibility checking
mvn clirr:check
```

### Architecture Overview

The library follows a layered architecture:

- **Context Layer**: `CIFSContext` interface provides the main entry point
- **Resource Layer**: `SmbResource` interface represents SMB network resources  

 */

/**
 * Defines core service interfaces that provide essential Maven functionality such as
 * artifact resolution, dependency management, and build execution. These services
 * form the backbone of Maven's extensible architecture.
 *
 * @since 4.0.0
 */

mvn jacoco:report
```

### Release Process
```bash
# Sign artifacts (for releases)
mvn verify

# Deploy to Maven Central via Sonatype Central Portal
mvn deploy
```

## Architecture

### Core Components

- **`org.codelibs.curl.Curl`**: Static entry point providing factory methods for all HTTP methods (GET, POST, PUT, DELETE, HEAD, OPTIONS, CONNECT, TRACE)

   *     using it, it is probably not doing what you want.
   */
  @Deprecated
  JAVA_EXT_DIRS("java.ext.dirs"),

  /** Operating system name. */
  OS_NAME("os.name"),

  /** Operating system architecture. */
  OS_ARCH("os.arch"),

  /** Operating system version. */
  OS_VERSION("os.version"),

  /** File separator ("/" on UNIX). */
  FILE_SEPARATOR("file.separator"),

# Génération de projets - Modèle

Vous pouvez utiliser un générateur de projet pour commencer, qui réalisera pour vous la mise en place de bases côté architecture globale, sécurité, base de données et premières routes d'API.

Un générateur de projet fera toujours une mise en place très subjective que vous devriez modifier et adapter suivant vos besoins, mais cela reste un bon point de départ pour vos projets.

## Full Stack FastAPI PostgreSQL