# This Dockerfile creates an image that has:
# - the correct MTU setting for networking from inside the container to work.
# - Visual Studio 2022 Build Tools
# - MSVC 14.39
# - LLVM/Clang 18.1.4
# - MSYS2 + curl, git, patch, vim, unzip, zip
# - Python 3.9 - 3.14
# - Bazelisk 1.22.1
# - JDK 21 (Azul Zulu)

FROM mcr.microsoft.com/windows/servercore:ltsc2022

SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", \

5. Copy the `./app` directory inside the `/code` directory.

    As this has all the code which is what **changes most frequently** the Docker **cache** won't be used for this or any **following steps** easily.

# Body - Fields { #body-fields }

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

- Do not add trailing punctuation to headings.

### Quotes

- Prefer Ukrainian guillemets «…» for quoted terms in prose, matching existing Ukrainian docs.
- Never change quotes inside inline code, code blocks, URLs, or file paths.

### Ellipsis

- Keep ellipsis style consistent with existing Ukrainian docs.
- Never change `...` in code, URLs, or CLI examples.

### Preferred translations / glossary

```Python
app.dependency_overrides = {}
```

/// tip

If you want to override a dependency only during some tests, you can set the override at the beginning of the test (inside the test function) and reset it at the end (at the end of the test function).

{* ../../docs_src/extending_openapi/tutorial001_py310.py hl[1,4,7:9] *}

### Generate the OpenAPI schema { #generate-the-openapi-schema }

Then, use the same utility function to generate the OpenAPI schema, inside a `custom_openapi()` function:

{* ../../docs_src/extending_openapi/tutorial001_py310.py hl[2,15:21] *}

### Modify the OpenAPI schema { #modify-the-openapi-schema }

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python

# above is tagged with "py3-none-any". We cannot change the tags by simply
# renaming the wheels as uploading to PyPI would fail with "File already exists"
# error. In order to upload to PyPI, we unpack the wheel and change the tag
# inside a metadata file to the one we want (e.g cp38-cp38-win_amd) and then
# re-pack it to generate it as a platform specific wheel with this new wheel
#tag.
python3 -m wheel unpack "${pure_python_whl}"

You can use `async def` or normal `def`.

And you can declare dependencies with `async def` inside of normal `def` *path operation functions*, or `def` dependencies inside of `async def` *path operation functions*, etc.

It doesn't matter. **FastAPI** will know what to do.

/// note

The contents that you return from your *path operation function* will be put inside of that `Response`.

/// note

If you use a response class with no media type, FastAPI will expect your response to have no content, so it will not document the response format in its generated OpenAPI docs.

///