Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

/// check | "Inspired **FastAPI** to"

Be a micro-framework. Making it easy to mix and match the tools and parts needed.

Have a simple and easy to use routing system.

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

    get() = cache.directory

  @JvmName("-deprecated_directory")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "directory"),
    level = DeprecationLevel.ERROR,
  )
  fun directory(): File = cache.directory.toFile()

  @Synchronized internal fun trackResponse(cacheStrategy: CacheStrategy) {
    requestCount++

    if (cacheStrategy.networkRequest != null) {

protobuf encoding. As a result, caching has been introduced, storing the already encoded `protobuf.Any` for a given resource.

This caching depends on declaring all inputs to the given generator as part of the cache key. This is extremely error-prone, as there is nothing preventing generators from consuming inputs that are *not* part of the key. When this happens, different clients will non-deterministically get incorrect configuration. This type of bug has historically resulted in CVEs....

    lock.withLock {
      if (e is StreamResetException) {
        when {
          e.errorCode == ErrorCode.REFUSED_STREAM -> {
            // Stop using this connection on the 2nd REFUSED_STREAM error.
            refusedStreamCount++
            if (refusedStreamCount > 1) {
              noNewExchangesEvent = !noNewExchanges
              noNewExchanges = true
              routeFailureCount++
            }

这也意味着在很多情况下，你可以将从请求中获得的相同对象**直接传到数据库**，因为所有的验证都是自动的。

反之亦然，在很多情况下，你也可以将从数据库中获取的对象**直接传到客户端**。

通过 **FastAPI** 你可以获得所有 **Pydantic**  (FastAPI 基于 Pydantic 做了所有的数据处理)：

* **更简单**：
    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:

      throw new UncheckedExecutionException(e);
    } catch (Exception e) {
      statsCounter.recordLoadException(ticker.read() - startTime);
      throw new ExecutionException(e);
    } catch (Error e) {
      statsCounter.recordLoadException(ticker.read() - startTime);
      throw new ExecutionError(e);
    }

    if (calculatedValue == null) {

    }

    /**
     * Creates a Type-3 message using the given raw Type-3 material.
     *
     * @param material The raw Type-3 material used to construct this message.
     * @throws IOException If an error occurs while parsing the material.
     */
    public Type3Message(byte[] material) throws IOException {
        parse(material);
    }

    /**
     * Returns the LanManager/LMv2 response.
     *

XML response for this API is similar to [AWS STS AssumeRoleWithWebIdentity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html#API_AssumeRoleWithWebIdentity_ResponseElements)

### Errors

XML error response for this API is similar to [AWS STS AssumeRoleWithWebIdentity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html#API_AssumeRoleWithWebIdentity_Errors)

## Sample `POST` Request

```Python hl_lines="1  4"
{!../../docs_src/python_types/tutorial009c.py!}
```

🔢 `name` 🔬 `Optional[str]`, ✋️ ⚫️ **🚫 📦**, 👆 🚫🔜 🤙 🔢 🍵 🔢:

```Python
say_hi()  # Oh, no, this throws an error! 😱
```

`name` 🔢 **✔** (🚫 *📦*) ↩️ ⚫️ 🚫 ✔️ 🔢 💲. , `name` 🚫 `None` 💲:

```Python
say_hi(name=None)  # This works, None is valid 🎉
```

        }
        final Calendar cal = Calendar.getInstance(TimeZone.getTimeZone("UTC"));
        cal.set(2026, 3 - 1, 1); // EOL Date
        eolTime = cal.getTimeInMillis();
        if (isEoled()) {
            logger.error("Your system is out of support. See https://fess.codelibs.org/eol.html");
        }
        updateSystemProperties();
        final FessConfig fessConfig = ComponentUtil.getFessConfig();