## 🗄 `Field`

🥇, 👆 ✔️ 🗄 ⚫️:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="4"
{!> ../../docs_src/body_fields/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="2"
{!> ../../docs_src/body_fields/tutorial001_py310.py!}
```

////

/// warning

////

## 🏃 💽 📋

👆 💪 ⤴️ 🏃 👆 🈸 🎏 🌌 👆 ✔️ ⌛ 🔰, ✋️ 🍵 `--reload` 🎛, ✅:

//// tab | Uvicorn

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

////

//// tab | Hypercorn

<div class="termy">

```console
$ hypercorn main:app --bind 0.0.0.0:80

                          <ShortName>Fess</ShortName>
                          <Description>Full Text Search for Your Documents.</Description>
                          <Tags>Full Text Search</Tags>
                          <Contact>******@****.***</Contact>
                          <SearchForm>http://localhost:8080/fess/</SearchForm>

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: List[str] = []


@app.post("/items/", response_model=Item)
async def create_item(item: Item) -> Any:
    return item


@app.get("/items/", response_model=List[Item])
async def read_items() -> Any:

        } catch (final Exception e) {
            final String msg = "Failed to index from document: searchWord=" + searchWord//
                    + ", fields=" + Arrays.toString(fields)//
                    + ", tags=" + Arrays.toString(tags)//
                    + ", roles=" + Arrays.toString(roles)//
                    + ", langs=" + Arrays.toString(langs)//
                    + ", num=" + num;
            if (logger.isDebugEnabled()) {

# ==============================================================================
TFCI_INSTALLER_WHL_ENABLE=1
TFCI_INSTALLER_WHL_PROJECT_NAME="tensorflow_cpu"
TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly_cpu"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"

Beide *Pfadoperationen* erfordern einen `X-Token`-Header.

//// tab | Python 3.10+

```Python
{!> ../../docs_src/app_testing/app_b_an_py310/main.py!}
```

////

//// tab | Python 3.9+

```Python
{!> ../../docs_src/app_testing/app_b_an_py39/main.py!}
```

////

//// tab | Python 3.8+

```Python
{!> ../../docs_src/app_testing/app_b_an/main.py!}
```

Обе *операции пути* требуют наличия в запросе заголовка `X-Token`.

//// tab | Python 3.10+

```Python
{!> ../../docs_src/app_testing/app_b_an_py310/main.py!}
```

////

//// tab | Python 3.9+

```Python
{!> ../../docs_src/app_testing/app_b_an_py39/main.py!}
```

////

//// tab | Python 3.8+

```Python
{!> ../../docs_src/app_testing/app_b_an/main.py!}
```

String[][] readings = new String[2][];
readings[0] = new String[] { "kensaku", "fuga" };
readings[1] = new String[] { "enjin", "fuga" };
String[] tags = new String[] { "tag1", "tag2" };
String[] roles = new String[] { "role1", "role2", "role3" };
suggester.indexer().index(new SuggestItem(new String[] { "検索", "エンジン" }, readings, 1, tags, roles, SuggestItem.Kind.DOCUMENT));
```

### Add suggest documents from source of index

from typing import List

import yaml
from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: List[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.model_json_schema()}},
            "required": True,
        },
    },