"description": IsDict(
                            {
                                "title": "Description",
                                "anyOf": [{"type": "string"}, {"type": "null"}],
                            }
                        )
                        | IsDict(
                            # TODO: remove when deprecating Pydantic v1

name: Test

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize
  schedule:
    # cron every week on monday
    - cron: "0 0 * * 1"

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4

                            "required": False,
                            "schema": IsDict(
                                {
                                    "anyOf": [{"type": "integer"}, {"type": "null"}],
                                    "title": "Limit",
                                }
                            )
                            | IsDict(

                                            "maxLength": 50,
                                            "pattern": "^fixedquery$",
                                        },
                                        {"type": "null"},
                                    ],
                                    "title": "Query string",

                                "title": "Repeat At",
                                "anyOf": [
                                    {"type": "string", "format": "time"},
                                    {"type": "null"},
                                ],
                            }
                        )
                        | IsDict(
                            # TODO: remove when deprecating Pydantic v1

<small>* Stima basata sull'esito di test eseguiti su codice sorgente di applicazioni rilasciate in produzione da un team interno di sviluppatori.</small>

## Sponsor

<!-- sponsors -->

{% if sponsors %}
{% for sponsor in sponsors.gold -%}

稍后，对于您的产品级别的应用程序，您可能会要使用像**PostgreSQL**这样的数据库服务器。

!!! tip
    这儿有一个**FastAPI**和**PostgreSQL**的官方项目生成器，全部基于**Docker**，包括前端和更多工具：<a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-fastapi-postgresql</a>

!!! note
    请注意，大部分代码是`SQLAlchemy`的标准代码，您可以用于任何框架。FastAPI特定的代码和往常一样少。

## ORMs（对象关系映射）

**FastAPI**可与任何数据库在任何样式的库中一起与 数据库进行通信。

but you might want to omit them from the result if they were not actually stored.

For example, if you have models with many optional attributes in a NoSQL database, but you don't want to send very long JSON responses full of default values.

### Use the `response_model_exclude_unset` parameter

You can set the *path operation decorator* parameter `response_model_exclude_unset=True`:

=== "Python 3.10+"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_Мы использовали библиотеку **FastAPI** для создания сервера **REST**, к которому можно делать запросы для получения **прогнозов**. [для Ludwig]_"