Let's put that data in the Pydantic `UserInDB` model first.

You should never save plaintext passwords, so, we'll use the (fake) password hashing system.

If the passwords don't match, we return the same error.

#### Password hashing { #password-hashing }

"Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

          }
        }
      }

      val startNs = System.nanoTime()
      val response: Response
      try {
        response = chain.proceed(request)
      } catch (e: Exception) {
        val tookMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - startNs)
        logger.log(
          buildString {
            append("<-- HTTP FAILED: $e.")

                    } else if (symbolSize > 0) {
                        removeLastDuplication(buf, symbolSize, isSpace, termCache);
                    }
                }
            } catch (final IOException e) {
                if (logger.isDebugEnabled()) {
                    logger.debug("Failed to read data.", e);
                }
                return StringUtil.EMPTY;
            }

        if (StringUtil.isNotBlank(minimumShouldMatch)) {
            boolQuery.minimumShouldMatch(minimumShouldMatch);
        }
        return new DefaultQueryBuilder(boolQuery);
    }

    /**
     * Builds a match phrase query, with special handling for single CJK characters.
     * For single CJK characters in title or content fields, uses prefix query instead.
     * @param f The field name.
     * @param text The text to search for.

     */
    protected FilterChain createDefaultFilterChain() {
        return query -> {
            try {
                return createQueryParser().parse(query);
            } catch (final ParseException e) {
                throw new QueryParseException(e);
            }
        };
    }

    /**
     * Interface for query filters that can modify or transform queries.

            result.setUidNumber(DfTypeUtil.toLong(source.get("uidNumber")));
            result.setX121Address(DfTypeUtil.toString(source.get("x121Address")));
            return updateEntity(source, result);
        } catch (InstantiationException | IllegalAccessException e) {
            final String msg = "Cannot create a new instance: " + entityType.getName();
            throw new IllegalBehaviorStateException(msg, e);
        }
    }

              .lines()
              .first()
          if (this.launch != CommandLine) {
            println("${it.code} ${it.request.url.host} $firstLine")
          }
          Unit
        }
    } catch (e: IOException) {
      System.err.println(e)
    }
  }
}

fun main() {
  // Call this before anything else initialises the JSSE stack.
  WireSharkListenerFactory.register()

            return result.getArtifactResults().stream()
                    .filter(ArtifactResult::isResolved)
                    .map(ArtifactResult::getArtifact)
                    .collect(Collectors.toList());
        } catch (PluginResolutionException | InterpolatorException e) {
            throw new ExtensionResolutionException(extension, e);
        }
    }

/// info | Info

Um Daten zu senden, sollten Sie eines von: `POST` (meistverwendet), `PUT`, `DELETE` oder `PATCH` verwenden.

Das Senden eines Bodys mit einem `GET`-Request hat ein undefiniertes Verhalten in den Spezifikationen, wird aber dennoch von FastAPI unterstützt, nur für sehr komplexe/extreme Anwendungsfälle.

API 基本上肯定要发送**响应体**，但是客户端不一定发送**请求体**。

使用 <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> 模型声明**请求体**，能充分利用它的功能和优点。

/// info | 说明

发送数据使用 `POST`（最常用）、`PUT`、`DELETE`、`PATCH` 等操作。

规范中没有定义使用 `GET` 发送请求体的操作，但不管怎样，FastAPI 也支持这种方式，只不过仅用于非常复杂或极端的用例。

我们不建议使用 `GET`，因此，在 Swagger UI 交互文档中不会显示有关 `GET` 的内容，而且代理协议也不一定支持 `GET`。

///

## 导入 Pydantic 的 `BaseModel`