* to be lightweight yet powerful, supporting various scopes of object lifecycle from
 * singleton instances to mojo-execution-scoped beans.
 * <p>
 * Key features include:
 * <ul>
 *   <li>Constructor, method, and field injection</li>
 *   <li>Qualifiers for distinguishing between beans of the same type</li>
 *   <li>Multiple scopes (Singleton, Session, and MojoExecution)</li>

		instance="singleton">
		<property name="name">"binaryTransformer"</property>
	</component>

	<component name="defaultFeatureMap" class="java.util.LinkedHashMap">
		<postConstruct name="put">
			<arg>"http://xml.org/sax/features/namespaces"</arg>
			<arg>"false"</arg>
		</postConstruct>
	</component>

	<component name="defaultPropertyMap" class="java.util.LinkedHashMap">
	</component>

                ParallelizationMethod.TestDistribution
            } else {
                TeamCityParallelTests(4)
            }

        if (parallelizationMethod is TeamCityParallelTests) {
            features {
                parallelTests {
                    this.numberOfBatches = parallelizationMethod.numberOfBatches
                }
            }
        }

        failureConditions {

你可以使用此範本快速起步，裡面已替你完成大量初始設定、安全性、資料庫，以及部分 API 端點。

GitHub 儲存庫：[全端 FastAPI 範本](https://github.com/tiangolo/full-stack-fastapi-template)

## 全端 FastAPI 範本 - 技術堆疊與功能 { #full-stack-fastapi-template-technology-stack-and-features }

- ⚡ [**FastAPI**](https://fastapi.tiangolo.com/zh-hant) 作為 Python 後端 API。
  - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) 作為 Python 與 SQL 資料庫互動（ORM）。
  - 🔍 [Pydantic](https://docs.pydantic.dev)（由 FastAPI 使用）用於資料驗證與設定管理。

        TYPE_LABELS.put("bug", "Bug fixes");
        TYPE_LABELS.put("deprecation", "Deprecations");
        TYPE_LABELS.put("enhancement", "Enhancements");
        TYPE_LABELS.put("feature", "New features");
        TYPE_LABELS.put("new-aggregation", "New aggregation");
        TYPE_LABELS.put("regression", "Regressions");
        TYPE_LABELS.put("upgrade", "Upgrades");
    }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

import org.apache.maven.plugin.logging.Log;

/**
 * This interface forms the contract required for <code>Mojos</code> to interact with the <code>Maven</code>
 * infrastructure.<br>
 * It features an <code>execute()</code> method, which triggers the Mojo's build-process behavior, and can throw
 * a MojoExecutionException or MojoFailureException if error conditions occur.<br>

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *

        if (parallelizationMethod is ParallelizationMethod.TeamCityParallelTests) {
            tcParallelTests(parallelizationMethod.numberOfBatches)
        }

        features {
            perfmon {
            }
        }

        applyTestDefaults(
            model,
            this,
            testTasks,
            os = testCoverage.os,

                param("performance.db.username", "tcagent")
                param("env.PERFORMANCE_CHANNEL", performanceTestSpec.channel())
            }

            features {
                publishBuildStatusToGithub(model)
            }

            val performanceResultsDir = "perf-results"
            val performanceProjectName = "performance"

            val taskName =