app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        str | None,
        Query(
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
        ),
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            alias="item-query",
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
            max_length=50,
            pattern="^fixedquery$",
            deprecated=True,
        ),
    ] = None,
):

  - media: '(prefers-color-scheme: dark)'
    scheme: slate
    primary: teal
    accent: amber
    toggle:
      icon: material/lightbulb-outline
      name: Switch to light mode
  features:
  - search.suggest
  - search.highlight
  - content.tabs.link
  - navigation.indexes
  - content.tooltips
  - navigation.path
  - content.code.annotate
  - content.code.copy
  - content.code.select
  - navigation.tabs
  icon:

const div = document.querySelector('.github-topic-projects')

async function getDataBatch(page) {
    const response = await fetch(`https://api.github.com/search/repositories?q=topic:fastapi&per_page=100&page=${page}`, { headers: { Accept: 'application/vnd.github.mercy-preview+json' } })
    const data = await response.json()
    return data
}

async function getData() {
    let page = 1
    let data = []
    let dataBatch = await getDataBatch(page)

                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "description": "Query string for the items to search in the database that have a good match",
                            "required": False,
                            "deprecated": True,
                            "schema": IsDict(
                                {

-e .
-r requirements-docs-tests.txt
mkdocs-material==9.5.18
mdx-include >=1.4.1,<2.0.0
mkdocs-redirects>=1.2.1,<1.3.0
typer >=0.12.0
pyyaml >=5.3.1,<7.0.0
# For Material for MkDocs, Chinese search
jieba==0.42.1
# For image processing by Material for MkDocs
pillow==10.3.0
# For image processing by Material for MkDocs
cairosvg==2.7.0
mkdocstrings[python]==0.24.3
griffe-typingdoc==0.2.2
# For griffe, it formats with black
black==24.3.0

@app.get("/items/")
async def read_items(
    q: Annotated[
        str | None,
        Query(
            alias="item-query",
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
            max_length=50,
            pattern="^fixedquery$",
            deprecated=True,
        ),
    ] = None,
):

      options:
        - label: I added a very descriptive title here.
          required: true
        - label: I used the GitHub search to find a similar question and didn't find it.
          required: true
        - label: I searched the FastAPI documentation, with the integrated search.
          required: true
        - label: I already searched in Google "How to X in FastAPI" and didn't find any information.
          required: true

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.
* **Azure Cognitive Search** yerleşik istek biçimi.
* Uvicorn ve Gunicorn ile **Production ready** Python web server'ı.
* Dahili **Azure DevOps** Kubernetes (AKS) CI/CD deployment.

### spaCyとFastAPIを使用した機械学習モデル - 機能

* **spaCy** のNERモデルの統合。
* **Azure Cognitive Search** のリクエストフォーマットを搭載。
* **リリース可能な** UvicornとGunicornを使用したPythonウェブサーバ。
* **Azure DevOps** のKubernetes (AKS) CI/CD デプロイを搭載。
* **多言語** プロジェクトのために、セットアップ時に言語を容易に選択可能 (spaCyに組み込まれている言語の中から)。