Sebastián Ramírez <******@****.***> 1766004103 -0800

Sebastián Ramírez <******@****.***> 1766004103 -0800

Sebastián Ramírez <******@****.***> 1766004103 -0800

Motov Yurii <******@****.***> 1765356932 +0100

Sebastián Ramírez <******@****.***> 1766004103 -0800

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]
"docs_src/dependencies/tutorial007_py39.py" = ["F821"]
"docs_src/dependencies/tutorial008_py39.py" = ["F821"]
"docs_src/dependencies/tutorial009_py39.py" = ["F821"]
"docs_src/dependencies/tutorial010_py39.py" = ["F821"]
"docs_src/custom_response/tutorial007_py39.py" = ["B007"]
"docs_src/dataclasses/tutorial003_py39.py" = ["I001"]

from unittest.mock import Mock, patch

from docs_src.dependencies.tutorial007_py39 import get_db


def test_get_db():  # Just for coverage
    async def test_async_gen():
        cm = asynccontextmanager(get_db)
        async with cm() as db_session:
            return db_session

    dbsession_moock = Mock()

    with patch(
        "docs_src.dependencies.tutorial007_py39.DBSession",
        return_value=dbsession_moock,

from fastapi.testclient import TestClient

from docs_src.custom_response.tutorial007_py39 import app

client = TestClient(app)


def test_get():
    fake_content = b"some fake video bytes"
    response = client.get("/")

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

Nevertheless, although we are not using the default integrated functionality, we are still using a Pydantic model to manually generate the JSON Schema for the data that we want to receive in YAML.

from docs_src.python_types.tutorial007_py39 import process_items


def test_process_items():
    items_t = (1, 2, "foo")
    items_s = {b"a", b"b", b"c"}