通过依赖注入系统，只要告诉 **FastAPI** *路径操作函数* 还要「依赖」其他在*路径操作函数*之前执行的内容，**FastAPI** 就会执行函数代码，并「注入」函数返回的结果。

其他与「依赖注入」概念相同的术语为：

* 资源（Resource）
* 提供方（Provider）
* 服务（Service）
* 可注入（Injectable）
* 组件（Component）

## **FastAPI** 插件

**依赖注入**系统支持构建集成和「插件」。但实际上，FastAPI 根本**不需要创建「插件」**，因为使用依赖项可以声明不限数量的、可用于*路径操作函数*的集成与交互。

创建依赖项非常简单、直观，并且还支持导入 Python 包。毫不夸张地说，只要几行代码就可以把需要的 Python 包与 API 函数集成在一起。

import org.codelibs.fess.exception.InvalidQueryException;
import org.lastaflute.core.message.UserMessages;
import org.opensearch.index.query.QueryBuilder;

import jakarta.annotation.PostConstruct;

/**
 * Query processor component that handles query filters and commands.
 * This class provides a pipeline for processing Lucene queries by applying
 * a chain of filters and executing registered query commands.
 *

      <scope>compile</scope>
    </dependency>
    <!-- ONLY version here; nothing else use or should use this dependency -->
    <dependency>
      <groupId>org.codehaus.plexus</groupId>
      <artifactId>plexus-component-annotations</artifactId>
      <version>2.1.0</version>
    </dependency>
    <dependency>
      <groupId>org.eclipse.sisu</groupId>
      <artifactId>org.eclipse.sisu.plexus</artifactId>

A major advantage of certificate-based authentication compared to other STS authentication methods, like OpenID Connect or LDAP/AD, is that client authentication works without any additional/external component that must be constantly available. Therefore, certificate-based authentication may provide better availability / lower operational complexity.

## Pydantic v1 no v2 { #pydantic-v1-in-v2 }

O Pydantic v2 inclui tudo do Pydantic v1 como um submódulo `pydantic.v1`.

Isso significa que você pode instalar a versão mais recente do Pydantic v2 e importar e usar os componentes antigos do Pydantic v1 a partir desse submódulo, como se tivesse o Pydantic v1 antigo instalado.

{* ../../docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py hl[1,4] *}

---

"_Si alguien está buscando construir una API de Python para producción, altamente recomendaría **FastAPI**. Está **hermosamente diseñado**, es **simple de usar** y **altamente escalable**, se ha convertido en un **componente clave** en nuestra estrategia de desarrollo API primero y está impulsando muchas automatizaciones y servicios como nuestro Ingeniero Virtual TAC._"

---

"_Se alguém estiver procurando construir uma API Python para produção, eu recomendaria fortemente o **FastAPI**. Ele é **lindamente projetado**, **simples de usar** e **altamente escalável**. Ele se tornou um **componente chave** para a nossa estratégia API first de desenvolvimento e está impulsionando diversas automações e serviços, como o nosso Virtual TAC Engineer._"

import org.apache.maven.project.DuplicateProjectException;
import org.apache.maven.project.MavenProject;
import org.codehaus.plexus.MutablePlexusContainer;
import org.codehaus.plexus.PlexusContainer;
import org.codehaus.plexus.component.configurator.expression.ExpressionEvaluator;
import org.codehaus.plexus.configuration.DefaultPlexusConfiguration;
import org.codehaus.plexus.util.Os;
import org.eclipse.aether.DefaultRepositorySystemSession;

    A --> C[Persistent Handles]
    C --> D[Multi-Channel]
    D --> E[RDMA Support]
    C --> F[Witness Protocol]
    D --> F
```

## Testing Strategy

### Unit Tests
- Individual component testing for each feature
- Mock-based testing for protocol interactions
- State machine validation

### Integration Tests
- Feature interaction testing
- Network failure simulation
- Performance benchmarking

        System.out.printf("Analyzed %d POMs%n%n", totalPoms);

        // First, get all paths
        List<PathAnalysis> allPaths = getPathAnalysisSorted();

        // Create groups based on the final path component
        Map<String, List<PathAnalysis>> groupedPaths = new HashMap<>();
        Map<String, Map<String, Long>> groupValueFrequencies = new HashMap<>();

        for (PathAnalysis path : allPaths) {