@@ -461,7 +461,7 @@ Utilisées par Starlette :
Utilisées par FastAPI / Starlette :
-*
uvicorn - Pour le serveur qui charge et sert votre application.
+*
uvicorn - Pour le serveur qui charge et sert votre application.
*
orjson - Obligatoire si vous voulez utiliser `ORJSONResponse`.
*
ujson - Obligatoire si vous souhaitez utiliser `UJSONResponse`.
diff --git a/docs/fr/docs/tutorial/background-tasks.md b/docs/fr/docs/tutorial/background-tasks.md
index 2065ca58e..6efd16e07 100644
--- a/docs/fr/docs/tutorial/background-tasks.md
+++ b/docs/fr/docs/tutorial/background-tasks.md
@@ -61,7 +61,7 @@ Et ensuite une autre tâche d'arrière-plan (générée dans les paramètres de
## Détails techniques
-La classe `BackgroundTasks` provient directement de
`starlette.background`.
+La classe `BackgroundTasks` provient directement de
`starlette.background`.
Elle est importée/incluse directement dans **FastAPI** pour que vous puissiez l'importer depuis `fastapi` et éviter d'importer accidentellement `BackgroundTask` (sans `s` à la fin) depuis `starlette.background`.
@@ -69,7 +69,7 @@ En utilisant seulement `BackgroundTasks` (et non `BackgroundTask`), il est possi
Il est tout de même possible d'utiliser `BackgroundTask` seul dans **FastAPI**, mais dans ce cas il faut créer l'objet dans le code et renvoyer une `Response` Starlette l'incluant.
-Plus de détails sont disponibles dans
la documentation officielle de Starlette sur les tâches d'arrière-plan (via leurs classes `BackgroundTasks`et `BackgroundTask`).
+Plus de détails sont disponibles dans
la documentation officielle de Starlette sur les tâches d'arrière-plan (via leurs classes `BackgroundTasks`et `BackgroundTask`).
## Avertissement
diff --git a/docs/fr/docs/tutorial/first-steps.md b/docs/fr/docs/tutorial/first-steps.md
index 758145362..96ea56e62 100644
--- a/docs/fr/docs/tutorial/first-steps.md
+++ b/docs/fr/docs/tutorial/first-steps.md
@@ -140,7 +140,7 @@ Vous pourriez aussi l'utiliser pour générer du code automatiquement, pour les
`FastAPI` est une classe héritant directement de `Starlette`.
-Vous pouvez donc aussi utiliser toutes les fonctionnalités de
Starlette depuis `FastAPI`.
+Vous pouvez donc aussi utiliser toutes les fonctionnalités de
Starlette depuis `FastAPI`.
///
diff --git a/docs/ja/docs/advanced/websockets.md b/docs/ja/docs/advanced/websockets.md
index 43009eba8..2517530ab 100644
--- a/docs/ja/docs/advanced/websockets.md
+++ b/docs/ja/docs/advanced/websockets.md
@@ -184,5 +184,5 @@ Client #1596980209979 left the chat
オプションの詳細については、Starletteのドキュメントを確認してください。
-*
`WebSocket` クラス
-*
クラスベースのWebSocket処理
+*
`WebSocket` クラス
+*
クラスベースのWebSocket処理
diff --git a/docs/ja/docs/alternatives.md b/docs/ja/docs/alternatives.md
index 8129a7002..9f5152c08 100644
--- a/docs/ja/docs/alternatives.md
+++ b/docs/ja/docs/alternatives.md
@@ -419,7 +419,7 @@ Marshmallowに匹敵しますが、ベンチマークではMarshmallowよりも
///
-###
Starlette
+###
Starlette
Starletteは、軽量な
ASGIフレームワーク/ツールキットで、高性能な非同期サービスの構築に最適です。
@@ -465,7 +465,7 @@ webに関するコアな部分を全て扱います。その上に機能を追
///
-###
Uvicorn
+###
Uvicorn
Uvicornは非常に高速なASGIサーバーで、uvloopとhttptoolsにより構成されています。
diff --git a/docs/ja/docs/deployment/manually.md b/docs/ja/docs/deployment/manually.md
index 4ea6bd8ff..da382a9c5 100644
--- a/docs/ja/docs/deployment/manually.md
+++ b/docs/ja/docs/deployment/manually.md
@@ -6,7 +6,7 @@
//// tab | Uvicorn
-*
Uvicorn, uvloopとhttptoolsを基にした高速なASGIサーバ。
+*
Uvicorn, uvloopとhttptoolsを基にした高速なASGIサーバ。
@@ -78,7 +78,7 @@ Running on 0.0.0.0:8080 over http (CTRL + C to quit)
停止した場合に自動的に再起動させるツールを設定したいかもしれません。
-さらに、
Gunicornをインストールして
Uvicornのマネージャーとして使用したり、複数のワーカーでHypercornを使用したいかもしれません。
+さらに、
Gunicornをインストールして
Uvicornのマネージャーとして使用したり、複数のワーカーでHypercornを使用したいかもしれません。
ワーカー数などの微調整も行いたいかもしれません。
diff --git a/docs/ja/docs/features.md b/docs/ja/docs/features.md
index 4024590cf..f78eab430 100644
--- a/docs/ja/docs/features.md
+++ b/docs/ja/docs/features.md
@@ -160,7 +160,7 @@ FastAPIには非常に使いやすく、非常に強力な
してカスタムの独自ヘッダーを追加できます。
-ただし、ブラウザのクライアントに表示させたいカスタムヘッダーがある場合は、StarletteのCORSドキュメントに記載されているパラメータ `expose_headers` を使用して、それらをCORS設定に追加する必要があります ([CORS (オリジン間リソース共有)](cors.md){.internal-link target=_blank})
+ただし、ブラウザのクライアントに表示させたいカスタムヘッダーがある場合は、StarletteのCORSドキュメントに記載されているパラメータ `expose_headers` を使用して、それらをCORS設定に追加する必要があります ([CORS (オリジン間リソース共有)](cors.md){.internal-link target=_blank})
///
diff --git a/docs/ja/docs/tutorial/static-files.md b/docs/ja/docs/tutorial/static-files.md
index f63f3f3b1..f910d7e36 100644
--- a/docs/ja/docs/tutorial/static-files.md
+++ b/docs/ja/docs/tutorial/static-files.md
@@ -37,4 +37,4 @@
## より詳しい情報
-詳細とオプションについては、Starletteの静的ファイルに関するドキュメントを確認してください。
+詳細とオプションについては、Starletteの静的ファイルに関するドキュメントを確認してください。
diff --git a/docs/ja/docs/tutorial/testing.md b/docs/ja/docs/tutorial/testing.md
index fe6c8c6b4..4e8ad4f7c 100644
--- a/docs/ja/docs/tutorial/testing.md
+++ b/docs/ja/docs/tutorial/testing.md
@@ -1,6 +1,6 @@
# テスト
-Starlette のおかげで、**FastAPI** アプリケーションのテストは簡単で楽しいものになっています。
+Starlette のおかげで、**FastAPI** アプリケーションのテストは簡単で楽しいものになっています。
HTTPX がベースなので、非常に使いやすく直感的です。
diff --git a/docs/ko/docs/advanced/events.md b/docs/ko/docs/advanced/events.md
index 5f8fe0f1e..4318ada54 100644
--- a/docs/ko/docs/advanced/events.md
+++ b/docs/ko/docs/advanced/events.md
@@ -154,7 +154,7 @@ ASGI 기술 사양에 따르면, 이는 Starlette의 Lifespan 문서에서 확인할 수 있습니다.
+Starlette의 `lifespan` 핸들러에 대해 더 읽고 싶다면 Starlette의 Lifespan 문서에서 확인할 수 있습니다.
이 문서에는 코드의 다른 영역에서 사용할 수 있는 lifespan 상태를 처리하는 방법도 포함되어 있습니다.
diff --git a/docs/ko/docs/advanced/middlewares.md b/docs/ko/docs/advanced/middlewares.md
index c00aedeaf..5778528a8 100644
--- a/docs/ko/docs/advanced/middlewares.md
+++ b/docs/ko/docs/advanced/middlewares.md
@@ -93,4 +93,4 @@ HTTP 호스트 헤더 공격을 방지하기 위해 모든 수신 요청에 올
유비콘의 `ProxyHeadersMiddleware`>
MessagePack
-사용 가능한 다른 미들웨어를 확인하려면 스타렛의 미들웨어 문서 및 ASGI Awesome List를 참조하세요.
+사용 가능한 다른 미들웨어를 확인하려면 스타렛의 미들웨어 문서 및 ASGI Awesome List를 참조하세요.
diff --git a/docs/ko/docs/advanced/response-cookies.md b/docs/ko/docs/advanced/response-cookies.md
index 327f20afe..50da713fe 100644
--- a/docs/ko/docs/advanced/response-cookies.md
+++ b/docs/ko/docs/advanced/response-cookies.md
@@ -46,4 +46,4 @@
///
-사용 가능한 모든 매개변수와 옵션은 Starlette 문서에서 확인할 수 있습니다.
+사용 가능한 모든 매개변수와 옵션은 Starlette 문서에서 확인할 수 있습니다.
diff --git a/docs/ko/docs/advanced/response-headers.md b/docs/ko/docs/advanced/response-headers.md
index e8abe0be2..e4e022c9b 100644
--- a/docs/ko/docs/advanced/response-headers.md
+++ b/docs/ko/docs/advanced/response-headers.md
@@ -38,4 +38,4 @@
‘X-’ 접두어를 사용하여 커스텀 사설 헤더를 추가할 수 있습니다.
-하지만, 여러분이 브라우저에서 클라이언트가 볼 수 있기를 원하는 커스텀 헤더가 있는 경우, CORS 설정에 이를 추가해야 합니다([CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}에서 자세히 알아보세요). `expose_headers` 매개변수를 사용하여 Starlette의 CORS 설명서에 문서화된 대로 설정할 수 있습니다.
+하지만, 여러분이 브라우저에서 클라이언트가 볼 수 있기를 원하는 커스텀 헤더가 있는 경우, CORS 설정에 이를 추가해야 합니다([CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}에서 자세히 알아보세요). `expose_headers` 매개변수를 사용하여 Starlette의 CORS 설명서에 문서화된 대로 설정할 수 있습니다.
diff --git a/docs/ko/docs/advanced/templates.md b/docs/ko/docs/advanced/templates.md
index 4cb4cbe0d..612635713 100644
--- a/docs/ko/docs/advanced/templates.md
+++ b/docs/ko/docs/advanced/templates.md
@@ -124,4 +124,4 @@ Item ID: 42
## 더 많은 세부 사항
-템플릿 테스트를 포함한 더 많은 세부 사항은 Starlette의 템플릿 문서를 확인하세요.
+템플릿 테스트를 포함한 더 많은 세부 사항은 Starlette의 템플릿 문서를 확인하세요.
diff --git a/docs/ko/docs/advanced/testing-websockets.md b/docs/ko/docs/advanced/testing-websockets.md
index 9f3b4a451..9b6782429 100644
--- a/docs/ko/docs/advanced/testing-websockets.md
+++ b/docs/ko/docs/advanced/testing-websockets.md
@@ -8,6 +8,6 @@
/// note | 참고
-자세한 내용은 Starlette의 WebSocket 테스트에 관한 설명서를 참고하시길 바랍니다.
+자세한 내용은 Starlette의 WebSocket 테스트에 관한 설명서를 참고하시길 바랍니다.
///
diff --git a/docs/ko/docs/advanced/using-request-directly.md b/docs/ko/docs/advanced/using-request-directly.md
index bfa4fa4db..b88a83bf4 100644
--- a/docs/ko/docs/advanced/using-request-directly.md
+++ b/docs/ko/docs/advanced/using-request-directly.md
@@ -15,7 +15,7 @@
## `Request` 객체에 대한 세부 사항
-**FastAPI**는 실제로 내부에 **Starlette**을 사용하며, 그 위에 여러 도구를 덧붙인 구조입니다. 따라서 여러분이 필요할 때 Starlette의 `Request` 객체를 직접 사용할 수 있습니다.
+**FastAPI**는 실제로 내부에 **Starlette**을 사용하며, 그 위에 여러 도구를 덧붙인 구조입니다. 따라서 여러분이 필요할 때 Starlette의 `Request` 객체를 직접 사용할 수 있습니다.
`Request` 객체에서 데이터를 직접 가져오는 경우(예: 본문을 읽기)에는 FastAPI가 해당 데이터를 검증하거나 변환하지 않으며, 문서화(OpenAPI를 통한 문서 자동화(로 생성된) API 사용자 인터페이스)도 되지 않습니다.
@@ -45,7 +45,7 @@
## `Request` 설명서
-여러분은 `Request` 객체에 대한 더 자세한 내용을 공식 Starlette 설명서 사이트에서 읽어볼 수 있습니다.
+여러분은 `Request` 객체에 대한 더 자세한 내용을 공식 Starlette 설명서 사이트에서 읽어볼 수 있습니다.
/// note | 기술 세부사항
diff --git a/docs/ko/docs/advanced/websockets.md b/docs/ko/docs/advanced/websockets.md
index fa60a428b..d9d0dd95c 100644
--- a/docs/ko/docs/advanced/websockets.md
+++ b/docs/ko/docs/advanced/websockets.md
@@ -182,5 +182,5 @@ FastAPI와 쉽게 통합할 수 있으면서 더 견고하고 Redis, PostgreSQL
다음 옵션에 대한 자세한 내용을 보려면 Starlette의 문서를 확인하세요:
-* `WebSocket` 클래스.
-* 클래스 기반 WebSocket 처리.
+* `WebSocket` 클래스.
+* 클래스 기반 WebSocket 처리.
diff --git a/docs/ko/docs/fastapi-cli.md b/docs/ko/docs/fastapi-cli.md
index 3a976af36..a1160c71f 100644
--- a/docs/ko/docs/fastapi-cli.md
+++ b/docs/ko/docs/fastapi-cli.md
@@ -60,7 +60,7 @@ FastAPI CLI는 Python 프로그램의 경로(예: `main.py`)를 인수로 받아
프로덕션 환경에서는 `fastapi run` 명령어를 사용합니다. 🚀
-내부적으로, **FastAPI CLI**는 고성능의, 프로덕션에 적합한, ASGI 서버인 Uvicorn을 사용합니다. 😎
+내부적으로, **FastAPI CLI**는 고성능의, 프로덕션에 적합한, ASGI 서버인 Uvicorn을 사용합니다. 😎
## `fastapi dev`
diff --git a/docs/ko/docs/features.md b/docs/ko/docs/features.md
index 5e880c298..dfbf47999 100644
--- a/docs/ko/docs/features.md
+++ b/docs/ko/docs/features.md
@@ -159,7 +159,7 @@ FastAPI는 사용하기 매우 간편하지만, 엄청난 하여 추가할 수 있습니다.
-그러나 만약 클라이언트의 브라우저에서 볼 수 있는 사용자 정의 헤더를 가지고 있다면, 그것들을 CORS 설정([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank})에 Starlette CORS 문서에 명시된 `expose_headers` 매개변수를 이용하여 헤더들을 추가하여야합니다.
+그러나 만약 클라이언트의 브라우저에서 볼 수 있는 사용자 정의 헤더를 가지고 있다면, 그것들을 CORS 설정([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank})에 Starlette CORS 문서에 명시된 `expose_headers` 매개변수를 이용하여 헤더들을 추가하여야합니다.
///
diff --git a/docs/ko/docs/tutorial/static-files.md b/docs/ko/docs/tutorial/static-files.md
index 9db5e1c67..4f3e3ab28 100644
--- a/docs/ko/docs/tutorial/static-files.md
+++ b/docs/ko/docs/tutorial/static-files.md
@@ -38,4 +38,4 @@
## 추가 정보
-자세한 내용과 선택 사항을 보려면 Starlette의 정적 파일에 관한 문서를 확인하십시오.
+자세한 내용과 선택 사항을 보려면 Starlette의 정적 파일에 관한 문서를 확인하십시오.
diff --git a/docs/ko/docs/tutorial/testing.md b/docs/ko/docs/tutorial/testing.md
index a483cbf00..915ff6d22 100644
--- a/docs/ko/docs/tutorial/testing.md
+++ b/docs/ko/docs/tutorial/testing.md
@@ -1,6 +1,6 @@
# 테스팅
-Starlette 덕분에 **FastAPI** 를 테스트하는 일은 쉽고 즐거운 일이 되었습니다.
+Starlette 덕분에 **FastAPI** 를 테스트하는 일은 쉽고 즐거운 일이 되었습니다.
Starlette는 HTTPX를 기반으로 하며, 이는 Requests를 기반으로 설계되었기 때문에 매우 친숙하고 직관적입니다.
diff --git a/docs/pt/docs/advanced/events.md b/docs/pt/docs/advanced/events.md
index 504b6db57..2d38e0899 100644
--- a/docs/pt/docs/advanced/events.md
+++ b/docs/pt/docs/advanced/events.md
@@ -155,7 +155,7 @@ Por baixo, na especificação técnica ASGI, essa é a parte do Documentação do Lifespan Starlette.
+Você pode ler mais sobre o manipulador `lifespan` do Starlette na Documentação do Lifespan Starlette.
Incluindo como manipular estado do lifespan que pode ser usado em outras áreas do seu código.
diff --git a/docs/pt/docs/advanced/middleware.md b/docs/pt/docs/advanced/middleware.md
index 8167f7d27..7700939f0 100644
--- a/docs/pt/docs/advanced/middleware.md
+++ b/docs/pt/docs/advanced/middleware.md
@@ -93,4 +93,4 @@ Por exemplo:
* Uvicorn's `ProxyHeadersMiddleware`
* MessagePack
-Para checar outros middlewares disponíveis, confira Documentação de Middlewares do Starlette e a Lista Incrível do ASGI.
+Para checar outros middlewares disponíveis, confira Documentação de Middlewares do Starlette e a Lista Incrível do ASGI.
diff --git a/docs/pt/docs/advanced/response-cookies.md b/docs/pt/docs/advanced/response-cookies.md
index eed69f222..f005f0b9b 100644
--- a/docs/pt/docs/advanced/response-cookies.md
+++ b/docs/pt/docs/advanced/response-cookies.md
@@ -48,4 +48,4 @@ E como o `Response` pode ser usado frequentemente para definir cabeçalhos e coo
///
-Para ver todos os parâmetros e opções disponíveis, verifique a documentação no Starlette.
+Para ver todos os parâmetros e opções disponíveis, verifique a documentação no Starlette.
diff --git a/docs/pt/docs/advanced/response-headers.md b/docs/pt/docs/advanced/response-headers.md
index a8034a7a4..a1fc84cc0 100644
--- a/docs/pt/docs/advanced/response-headers.md
+++ b/docs/pt/docs/advanced/response-headers.md
@@ -38,4 +38,4 @@ E como a `Response` pode ser usada frequentemente para definir cabeçalhos e coo
Tenha em mente que cabeçalhos personalizados proprietários podem ser adicionados usando o prefixo 'X-'.
-Porém, se voce tiver cabeçalhos personalizados que deseja que um cliente no navegador possa ver, você precisa adicioná-los às suas configurações de CORS (saiba mais em [CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}), usando o parâmetro `expose_headers` descrito na documentação de CORS do Starlette.
+Porém, se voce tiver cabeçalhos personalizados que deseja que um cliente no navegador possa ver, você precisa adicioná-los às suas configurações de CORS (saiba mais em [CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}), usando o parâmetro `expose_headers` descrito na documentação de CORS do Starlette.
diff --git a/docs/pt/docs/advanced/templates.md b/docs/pt/docs/advanced/templates.md
index 4d22bfbbf..65ff89fae 100644
--- a/docs/pt/docs/advanced/templates.md
+++ b/docs/pt/docs/advanced/templates.md
@@ -121,4 +121,4 @@ E como você está usando `StaticFiles`, este arquivo CSS será automaticamente
## Mais detalhes
-Para obter mais detalhes, incluindo como testar templates, consulte a documentação da Starlette sobre templates.
+Para obter mais detalhes, incluindo como testar templates, consulte a documentação da Starlette sobre templates.
diff --git a/docs/pt/docs/advanced/testing-websockets.md b/docs/pt/docs/advanced/testing-websockets.md
index 942771bc9..9b8193655 100644
--- a/docs/pt/docs/advanced/testing-websockets.md
+++ b/docs/pt/docs/advanced/testing-websockets.md
@@ -8,6 +8,6 @@ Para isso, você utiliza o `TestClient` dentro de uma instrução `with`, conect
/// note | Nota
-Para mais detalhes, confira a documentação do Starlette para testar WebSockets.
+Para mais detalhes, confira a documentação do Starlette para testar WebSockets.
///
diff --git a/docs/pt/docs/advanced/using-request-directly.md b/docs/pt/docs/advanced/using-request-directly.md
index f31e2ed15..f4fb0ed8f 100644
--- a/docs/pt/docs/advanced/using-request-directly.md
+++ b/docs/pt/docs/advanced/using-request-directly.md
@@ -15,7 +15,7 @@ Porém há situações em que você possa precisar acessar o objeto `Request` di
## Detalhes sobre o objeto `Request`
-Como o **FastAPI** é na verdade o **Starlette** por baixo, com camadas de diversas funcionalidades por cima, você pode utilizar o objeto `Request` do Starlette diretamente quando precisar.
+Como o **FastAPI** é na verdade o **Starlette** por baixo, com camadas de diversas funcionalidades por cima, você pode utilizar o objeto `Request` do Starlette diretamente quando precisar.
Isso significaria também que se você obtiver informações do objeto `Request` diretamente (ler o corpo da requisição por exemplo), as informações não serão validadas, convertidas ou documentadas (com o OpenAPI, para a interface de usuário automática da API) pelo FastAPI.
@@ -45,7 +45,7 @@ Do mesmo jeito, você pode declarar qualquer outro parâmetro normalmente, e al
## Documentação do `Request`
-Você pode ler mais sobre os detalhes do objeto `Request` no site da documentação oficial do Starlette..
+Você pode ler mais sobre os detalhes do objeto `Request` no site da documentação oficial do Starlette..
/// note | Detalhes Técnicos
diff --git a/docs/pt/docs/advanced/websockets.md b/docs/pt/docs/advanced/websockets.md
index 82e443886..721c0b403 100644
--- a/docs/pt/docs/advanced/websockets.md
+++ b/docs/pt/docs/advanced/websockets.md
@@ -182,5 +182,5 @@ Se você precisa de algo fácil de integrar com o FastAPI, mas que seja mais rob
Para aprender mais sobre as opções, verifique a documentação do Starlette para:
-* A classe `WebSocket`.
-* Manipulação de WebSockets baseada em classes.
+* A classe `WebSocket`.
+* Manipulação de WebSockets baseada em classes.
diff --git a/docs/pt/docs/alternatives.md b/docs/pt/docs/alternatives.md
index 29c9693bb..66cf3fe12 100644
--- a/docs/pt/docs/alternatives.md
+++ b/docs/pt/docs/alternatives.md
@@ -419,7 +419,7 @@ Controlar toda a validação de dados, serialização de dados e modelo de docum
///
-### Starlette
+### Starlette
Starlette é um framework/caixa de ferramentas ASGI peso leve, o que é ideal para construir serviços assíncronos de alta performance.
@@ -465,7 +465,7 @@ Então, qualquer coisa que você faz com Starlette, você pode fazer diretamente
///
-### Uvicorn
+### Uvicorn
Uvicorn é um servidor ASGI peso leve, construído com uvloop e httptools.
diff --git a/docs/pt/docs/deployment/manually.md b/docs/pt/docs/deployment/manually.md
index 46e580807..c7caabbcd 100644
--- a/docs/pt/docs/deployment/manually.md
+++ b/docs/pt/docs/deployment/manually.md
@@ -52,7 +52,7 @@ A principal coisa que você precisa para executar uma aplicação **FastAPI** (o
Existem diversas alternativas, incluindo:
-* Uvicorn: um servidor ASGI de alta performance.
+* Uvicorn: um servidor ASGI de alta performance.
* Hypercorn: um servidor ASGI compátivel com HTTP/2, Trio e outros recursos.
* Daphne: servidor ASGI construído para Django Channels.
* Granian: um servidor HTTP Rust para aplicações Python.
diff --git a/docs/pt/docs/fastapi-cli.md b/docs/pt/docs/fastapi-cli.md
index 829686631..f33c2ba2a 100644
--- a/docs/pt/docs/fastapi-cli.md
+++ b/docs/pt/docs/fastapi-cli.md
@@ -60,7 +60,7 @@ O FastAPI CLI recebe o caminho do seu programa Python, detecta automaticamente a
Para produção você usaria `fastapi run` no lugar. 🚀
-Internamente, **FastAPI CLI** usa Uvicorn, um servidor ASGI de alta performance e pronto para produção. 😎
+Internamente, **FastAPI CLI** usa Uvicorn, um servidor ASGI de alta performance e pronto para produção. 😎
## `fastapi dev`
diff --git a/docs/pt/docs/features.md b/docs/pt/docs/features.md
index a90a8094b..ccc3300d6 100644
--- a/docs/pt/docs/features.md
+++ b/docs/pt/docs/features.md
@@ -159,7 +159,7 @@ Qualquer integração é projetada para ser tão simples de usar (com dependênc
## Recursos do Starlette
-**FastAPI** é totalmente compatível com (e baseado no) Starlette. Então, qualquer código adicional Starlette que você tiver, também funcionará.
+**FastAPI** é totalmente compatível com (e baseado no) Starlette. Então, qualquer código adicional Starlette que você tiver, também funcionará.
`FastAPI` é na verdade uma sub-classe do `Starlette`. Então, se você já conhece ou usa Starlette, a maioria das funcionalidades se comportará da mesma forma.
diff --git a/docs/pt/docs/history-design-future.md b/docs/pt/docs/history-design-future.md
index 4ec217405..1d0768c62 100644
--- a/docs/pt/docs/history-design-future.md
+++ b/docs/pt/docs/history-design-future.md
@@ -58,7 +58,7 @@ Após testar várias alternativas, eu decidi que usaria o **Starlette**, outro requisito chave.
+Durante o desenvolvimento, eu também contribuí com o **Starlette**, outro requisito chave.
## Desenvolvimento
diff --git a/docs/pt/docs/how-to/custom-request-and-route.md b/docs/pt/docs/how-to/custom-request-and-route.md
index 8f432f6fe..151a0f5d4 100644
--- a/docs/pt/docs/how-to/custom-request-and-route.md
+++ b/docs/pt/docs/how-to/custom-request-and-route.md
@@ -66,7 +66,7 @@ O dicionário `scope` e a função `receive` são ambos parte da especificação
E essas duas coisas, `scope` e `receive`, são o que é necessário para criar uma nova instância de `Request`.
-Para aprender mais sobre o `Request` confira a documentação do Starlette sobre Requests.
+Para aprender mais sobre o `Request` confira a documentação do Starlette sobre Requests.
///
diff --git a/docs/pt/docs/index.md b/docs/pt/docs/index.md
index ce9929bf4..a361913c3 100644
--- a/docs/pt/docs/index.md
+++ b/docs/pt/docs/index.md
@@ -123,7 +123,7 @@ Se você estiver construindo uma aplicação Starlette para as partes web.
+* Starlette para as partes web.
* Pydantic para a parte de dados.
## Instalação
@@ -229,7 +229,7 @@ INFO: Application startup complete.
Sobre o comando fastapi dev main.py...
-O comando `fastapi dev` lê o seu arquivo `main.py`, identifica o aplicativo **FastAPI** nele, e inicia um servidor usando o Uvicorn.
+O comando `fastapi dev` lê o seu arquivo `main.py`, identifica o aplicativo **FastAPI** nele, e inicia um servidor usando o Uvicorn.
Por padrão, o `fastapi dev` iniciará com *auto-reload* habilitado para desenvolvimento local.
@@ -471,7 +471,7 @@ Utilizado pelo Starlette:
Utilizado pelo FastAPI / Starlette:
-* uvicorn - para o servidor que carrega e serve a sua aplicação. Isto inclui `uvicorn[standard]`, que inclui algumas dependências (e.g. `uvloop`) necessárias para servir em alta performance.
+* uvicorn - para o servidor que carrega e serve a sua aplicação. Isto inclui `uvicorn[standard]`, que inclui algumas dependências (e.g. `uvloop`) necessárias para servir em alta performance.
* `fastapi-cli` - que disponibiliza o comando `fastapi`.
### Sem as dependências `standard`
diff --git a/docs/pt/docs/tutorial/background-tasks.md b/docs/pt/docs/tutorial/background-tasks.md
index 0f3796371..b8ab58cda 100644
--- a/docs/pt/docs/tutorial/background-tasks.md
+++ b/docs/pt/docs/tutorial/background-tasks.md
@@ -61,7 +61,7 @@ E então outra tarefa em segundo plano gerada na _função de operação de cami
## Detalhes técnicos
-A classe `BackgroundTasks` vem diretamente de `starlette.background`.
+A classe `BackgroundTasks` vem diretamente de `starlette.background`.
Ela é importada/incluída diretamente no FastAPI para que você possa importá-la do `fastapi` e evitar a importação acidental da alternativa `BackgroundTask` (sem o `s` no final) de `starlette.background`.
@@ -69,7 +69,7 @@ Usando apenas `BackgroundTasks` (e não `BackgroundTask`), é então possível u
Ainda é possível usar `BackgroundTask` sozinho no FastAPI, mas você deve criar o objeto em seu código e retornar uma Starlette `Response` incluindo-o.
-Você pode ver mais detalhes na documentação oficiais da Starlette para tarefas em segundo plano .
+Você pode ver mais detalhes na documentação oficiais da Starlette para tarefas em segundo plano .
## Ressalva
diff --git a/docs/pt/docs/tutorial/first-steps.md b/docs/pt/docs/tutorial/first-steps.md
index 5184d2d5f..e696bbbb7 100644
--- a/docs/pt/docs/tutorial/first-steps.md
+++ b/docs/pt/docs/tutorial/first-steps.md
@@ -155,7 +155,7 @@ Você também pode usá-lo para gerar código automaticamente para clientes que
`FastAPI` é uma classe que herda diretamente de `Starlette`.
-Você pode usar todas as funcionalidades do Starlette com `FastAPI` também.
+Você pode usar todas as funcionalidades do Starlette com `FastAPI` também.
///
diff --git a/docs/pt/docs/tutorial/handling-errors.md b/docs/pt/docs/tutorial/handling-errors.md
index 098195db7..5cb92c744 100644
--- a/docs/pt/docs/tutorial/handling-errors.md
+++ b/docs/pt/docs/tutorial/handling-errors.md
@@ -83,7 +83,7 @@ Mas caso você precise, para um cenário mais complexo, você pode adicionar hea
## Instalando manipuladores de exceções customizados
-Você pode adicionar manipuladores de exceção customizados com a mesma seção de utilidade de exceções presentes no Starlette
+Você pode adicionar manipuladores de exceção customizados com a mesma seção de utilidade de exceções presentes no Starlette
Digamos que você tenha uma exceção customizada `UnicornException` que você (ou uma biblioteca que você use) precise lançar (`raise`).
diff --git a/docs/pt/docs/tutorial/middleware.md b/docs/pt/docs/tutorial/middleware.md
index 32b81c646..0f5009b6d 100644
--- a/docs/pt/docs/tutorial/middleware.md
+++ b/docs/pt/docs/tutorial/middleware.md
@@ -37,7 +37,7 @@ A função middleware recebe:
Tenha em mente que cabeçalhos proprietários personalizados podem ser adicionados usando o prefixo 'X-'.
-Mas se você tiver cabeçalhos personalizados desejando que um cliente em um navegador esteja apto a ver, você precisa adicioná-los às suas configurações CORS ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}) usando o parâmetro `expose_headers` documentado em Documentos CORS da Starlette.
+Mas se você tiver cabeçalhos personalizados desejando que um cliente em um navegador esteja apto a ver, você precisa adicioná-los às suas configurações CORS ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}) usando o parâmetro `expose_headers` documentado em Documentos CORS da Starlette.
///
diff --git a/docs/pt/docs/tutorial/static-files.md b/docs/pt/docs/tutorial/static-files.md
index 0660078f4..30e1af8e6 100644
--- a/docs/pt/docs/tutorial/static-files.md
+++ b/docs/pt/docs/tutorial/static-files.md
@@ -37,4 +37,4 @@ Todos esses parâmetros podem ser diferentes de "`static`", ajuste-os de acordo
## Mais informações
-Para mais detalhes e opções, verifique Starlette's docs about Static Files.
+Para mais detalhes e opções, verifique Starlette's docs about Static Files.
diff --git a/docs/pt/docs/tutorial/testing.md b/docs/pt/docs/tutorial/testing.md
index 8eb2f29b7..dc505105a 100644
--- a/docs/pt/docs/tutorial/testing.md
+++ b/docs/pt/docs/tutorial/testing.md
@@ -1,6 +1,6 @@
# Testando
-Graças ao Starlette, testar aplicativos **FastAPI** é fácil e agradável.
+Graças ao Starlette, testar aplicativos **FastAPI** é fácil e agradável.
Ele é baseado no HTTPX, que por sua vez é projetado com base em Requests, por isso é muito familiar e intuitivo.
diff --git a/docs/ru/docs/advanced/events.md b/docs/ru/docs/advanced/events.md
index 6e1b49035..20d1df98a 100644
--- a/docs/ru/docs/advanced/events.md
+++ b/docs/ru/docs/advanced/events.md
@@ -154,7 +154,7 @@ async with lifespan(app):
/// info | Информация
-Вы можете прочитать больше про обработчики `lifespan` в Starlette в документации Starlette по Lifespan.
+Вы можете прочитать больше про обработчики `lifespan` в Starlette в документации Starlette по Lifespan.
Включая то, как работать с состоянием lifespan, которое можно использовать в других частях вашего кода.
diff --git a/docs/ru/docs/advanced/middleware.md b/docs/ru/docs/advanced/middleware.md
index 28802fd57..82c86b231 100644
--- a/docs/ru/docs/advanced/middleware.md
+++ b/docs/ru/docs/advanced/middleware.md
@@ -94,4 +94,4 @@ app.add_middleware(UnicornMiddleware, some_config="rainbow")
- `ProxyHeadersMiddleware` от Uvicorn
- MessagePack
-Чтобы увидеть другие доступные middleware, посмотрите документацию по middleware в Starlette и список ASGI Awesome.
+Чтобы увидеть другие доступные middleware, посмотрите документацию по middleware в Starlette и список ASGI Awesome.
diff --git a/docs/ru/docs/advanced/response-cookies.md b/docs/ru/docs/advanced/response-cookies.md
index 3aa32b9bb..9319aba6e 100644
--- a/docs/ru/docs/advanced/response-cookies.md
+++ b/docs/ru/docs/advanced/response-cookies.md
@@ -48,4 +48,4 @@
///
-Чтобы увидеть все доступные параметры и настройки, ознакомьтесь с документацией Starlette.
+Чтобы увидеть все доступные параметры и настройки, ознакомьтесь с документацией Starlette.
diff --git a/docs/ru/docs/advanced/response-headers.md b/docs/ru/docs/advanced/response-headers.md
index 81e52cb69..1c9360b31 100644
--- a/docs/ru/docs/advanced/response-headers.md
+++ b/docs/ru/docs/advanced/response-headers.md
@@ -38,4 +38,4 @@
Помните, что собственные проприетарные заголовки можно добавлять, используя префикс `X-`.
-Но если у вас есть пользовательские заголовки, которые вы хотите показывать клиенту в браузере, вам нужно добавить их в настройки CORS (подробнее см. в [CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}), используя параметр `expose_headers`, описанный в документации Starlette по CORS.
+Но если у вас есть пользовательские заголовки, которые вы хотите показывать клиенту в браузере, вам нужно добавить их в настройки CORS (подробнее см. в [CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}), используя параметр `expose_headers`, описанный в документации Starlette по CORS.
diff --git a/docs/ru/docs/advanced/templates.md b/docs/ru/docs/advanced/templates.md
index 5675ff48a..204e88760 100644
--- a/docs/ru/docs/advanced/templates.md
+++ b/docs/ru/docs/advanced/templates.md
@@ -123,4 +123,4 @@ Item ID: 42
## Подробнее { #more-details }
-Больше подробностей, включая то, как тестировать шаблоны, смотрите в документации Starlette по шаблонам.
+Больше подробностей, включая то, как тестировать шаблоны, смотрите в документации Starlette по шаблонам.
diff --git a/docs/ru/docs/advanced/testing-events.md b/docs/ru/docs/advanced/testing-events.md
index 1bf8e4723..e0ec77439 100644
--- a/docs/ru/docs/advanced/testing-events.md
+++ b/docs/ru/docs/advanced/testing-events.md
@@ -5,7 +5,7 @@
{* ../../docs_src/app_testing/tutorial004.py hl[9:15,18,27:28,30:32,41:43] *}
-Вы можете узнать больше подробностей в статье [Запуск lifespan в тестах на официальном сайте документации Starlette.](https://www.starlette.io/lifespan/#running-lifespan-in-tests)
+Вы можете узнать больше подробностей в статье [Запуск lifespan в тестах на официальном сайте документации Starlette.](https://www.starlette.dev/lifespan/#running-lifespan-in-tests)
Для устаревших событий `startup` и `shutdown` вы можете использовать `TestClient` следующим образом:
diff --git a/docs/ru/docs/advanced/testing-websockets.md b/docs/ru/docs/advanced/testing-websockets.md
index 7c0ca2594..e840a03f2 100644
--- a/docs/ru/docs/advanced/testing-websockets.md
+++ b/docs/ru/docs/advanced/testing-websockets.md
@@ -8,6 +8,6 @@
/// note | Примечание
-Подробности смотрите в документации Starlette по тестированию WebSocket.
+Подробности смотрите в документации Starlette по тестированию WebSocket.
///
diff --git a/docs/ru/docs/advanced/using-request-directly.md b/docs/ru/docs/advanced/using-request-directly.md
index bff2ddcb7..b92221610 100644
--- a/docs/ru/docs/advanced/using-request-directly.md
+++ b/docs/ru/docs/advanced/using-request-directly.md
@@ -15,7 +15,7 @@
## Подробности об объекте `Request` { #details-about-the-request-object }
-Так как под капотом **FastAPI** — это **Starlette** с дополнительным слоем инструментов, вы можете при необходимости напрямую использовать объект `Request` из Starlette.
+Так как под капотом **FastAPI** — это **Starlette** с дополнительным слоем инструментов, вы можете при необходимости напрямую использовать объект `Request` из Starlette.
Это также означает, что если вы получаете данные напрямую из объекта `Request` (например, читаете тело запроса), то они не будут валидироваться, конвертироваться или документироваться (с OpenAPI, для автоматического пользовательского интерфейса API) средствами FastAPI.
@@ -45,7 +45,7 @@
## Документация по `Request` { #request-documentation }
-Подробнее об объекте `Request` на официальном сайте документации Starlette.
+Подробнее об объекте `Request` на официальном сайте документации Starlette.
/// note | Технические детали
diff --git a/docs/ru/docs/advanced/websockets.md b/docs/ru/docs/advanced/websockets.md
index b73fa1ddb..f26185bea 100644
--- a/docs/ru/docs/advanced/websockets.md
+++ b/docs/ru/docs/advanced/websockets.md
@@ -182,5 +182,5 @@ Client #1596980209979 left the chat
Для более глубокого изучения темы воспользуйтесь документацией Starlette:
-* The `WebSocket` class.
-* Class-based WebSocket handling.
+* The `WebSocket` class.
+* Class-based WebSocket handling.
diff --git a/docs/ru/docs/alternatives.md b/docs/ru/docs/alternatives.md
index 6380bcc45..17b54aad2 100644
--- a/docs/ru/docs/alternatives.md
+++ b/docs/ru/docs/alternatives.md
@@ -417,7 +417,7 @@ Pydantic — это библиотека для определения вали
///
-### Starlette { #starlette }
+### Starlette { #starlette }
Starlette — это лёгкий ASGI фреймворк/набор инструментов, идеально подходящий для создания высокопроизводительных asyncio‑сервисов.
@@ -462,7 +462,7 @@ ASGI — это новый «стандарт», разрабатываемый
///
-### Uvicorn { #uvicorn }
+### Uvicorn { #uvicorn }
Uvicorn — молниеносный ASGI-сервер, построенный на uvloop и httptools.
diff --git a/docs/ru/docs/deployment/manually.md b/docs/ru/docs/deployment/manually.md
index 37fed5780..93287372a 100644
--- a/docs/ru/docs/deployment/manually.md
+++ b/docs/ru/docs/deployment/manually.md
@@ -52,7 +52,7 @@ FastAPI использует стандарт для построения Python
Есть несколько альтернатив, например:
-* Uvicorn: высокопроизводительный ASGI‑сервер.
+* Uvicorn: высокопроизводительный ASGI‑сервер.
* Hypercorn: ASGI‑сервер, среди прочего совместимый с HTTP/2 и Trio.
* Daphne: ASGI‑сервер, созданный для Django Channels.
* Granian: HTTP‑сервер на Rust для Python‑приложений.
diff --git a/docs/ru/docs/fastapi-cli.md b/docs/ru/docs/fastapi-cli.md
index 156e3d200..72cf55e7b 100644
--- a/docs/ru/docs/fastapi-cli.md
+++ b/docs/ru/docs/fastapi-cli.md
@@ -52,7 +52,7 @@ FastAPI CLI берет путь к вашей Python-программе (нап
Для работы в режиме продакшн вместо `fastapi dev` нужно использовать `fastapi run`. 🚀
-Внутри **FastAPI CLI** используется Uvicorn, высокопроизводительный, готовый к работе в продакшне ASGI-сервер. 😎
+Внутри **FastAPI CLI** используется Uvicorn, высокопроизводительный, готовый к работе в продакшне ASGI-сервер. 😎
## `fastapi dev` { #fastapi-dev }
diff --git a/docs/ru/docs/features.md b/docs/ru/docs/features.md
index 91ffe331b..703ff951e 100644
--- a/docs/ru/docs/features.md
+++ b/docs/ru/docs/features.md
@@ -159,7 +159,7 @@ FastAPI включает в себя чрезвычайно простую в и
## Возможности Starlette { #starlette-features }
-**FastAPI** основан на Starlette и полностью совместим с ним. Так что любой дополнительный код Starlette, который у вас есть, также будет работать.
+**FastAPI** основан на Starlette и полностью совместим с ним. Так что любой дополнительный код Starlette, который у вас есть, также будет работать.
На самом деле, `FastAPI` — это подкласс `Starlette`. Таким образом, если вы уже знаете или используете Starlette, большая часть функционала будет работать так же.
diff --git a/docs/ru/docs/history-design-future.md b/docs/ru/docs/history-design-future.md
index d679af3e3..9cdd53376 100644
--- a/docs/ru/docs/history-design-future.md
+++ b/docs/ru/docs/history-design-future.md
@@ -58,7 +58,7 @@
По моим предложениям был изменён код этого фреймворка, чтобы сделать его полностью совместимым с JSON Schema, поддержать различные способы определения ограничений и улучшить поддержку в редакторах кода (проверки типов, автозавершение) на основе тестов в нескольких редакторах.
-В то же время, я принимал участие в разработке **Starlette**, ещё один из основных компонентов FastAPI.
+В то же время, я принимал участие в разработке **Starlette**, ещё один из основных компонентов FastAPI.
## Разработка { #development }
diff --git a/docs/ru/docs/how-to/custom-request-and-route.md b/docs/ru/docs/how-to/custom-request-and-route.md
index df8a5ee3c..1b8d7f7ed 100644
--- a/docs/ru/docs/how-to/custom-request-and-route.md
+++ b/docs/ru/docs/how-to/custom-request-and-route.md
@@ -66,7 +66,7 @@
Именно этих двух компонентов — `scope` и `receive` — достаточно, чтобы создать новый экземпляр `Request`.
-Чтобы узнать больше о `Request`, см. документацию Starlette о запросах.
+Чтобы узнать больше о `Request`, см. документацию Starlette о запросах.
///
diff --git a/docs/ru/docs/index.md b/docs/ru/docs/index.md
index 1fcc9ea9d..75cd63223 100644
--- a/docs/ru/docs/index.md
+++ b/docs/ru/docs/index.md
@@ -123,7 +123,7 @@ FastAPI — это современный, быстрый (высокопрои
FastAPI стоит на плечах гигантов:
-* Starlette для части, связанной с вебом.
+* Starlette для части, связанной с вебом.
* Pydantic для части, связанной с данными.
## Установка { #installation }
@@ -229,7 +229,7 @@ INFO: Application startup complete.
О команде fastapi dev main.py...
-Команда `fastapi dev` читает ваш файл `main.py`, находит в нём приложение **FastAPI** и запускает сервер с помощью Uvicorn.
+Команда `fastapi dev` читает ваш файл `main.py`, находит в нём приложение **FastAPI** и запускает сервер с помощью Uvicorn.
По умолчанию `fastapi dev` запускается с включённой авто-перезагрузкой для локальной разработки.
@@ -470,7 +470,7 @@ FastAPI зависит от Pydantic и Starlette.
Используется FastAPI:
-* uvicorn — сервер, который загружает и обслуживает ваше приложение. Включает `uvicorn[standard]`, содержащий некоторые зависимости (например, `uvloop`), нужные для высокой производительности.
+* uvicorn — сервер, который загружает и обслуживает ваше приложение. Включает `uvicorn[standard]`, содержащий некоторые зависимости (например, `uvloop`), нужные для высокой производительности.
* `fastapi-cli[standard]` — чтобы предоставить команду `fastapi`.
* Включает `fastapi-cloud-cli`, который позволяет развернуть ваше приложение FastAPI в FastAPI Cloud.
diff --git a/docs/ru/docs/tutorial/background-tasks.md b/docs/ru/docs/tutorial/background-tasks.md
index 9b6f0c8d3..1ed8522d6 100644
--- a/docs/ru/docs/tutorial/background-tasks.md
+++ b/docs/ru/docs/tutorial/background-tasks.md
@@ -61,7 +61,7 @@
## Технические детали { #technical-details }
-Класс `BackgroundTasks` приходит напрямую из `starlette.background`.
+Класс `BackgroundTasks` приходит напрямую из `starlette.background`.
Он импортируется/включается прямо в FastAPI, чтобы вы могли импортировать его из `fastapi` и избежать случайного импорта альтернативного `BackgroundTask` (без `s` на конце) из `starlette.background`.
@@ -69,7 +69,7 @@
По‑прежнему можно использовать один `BackgroundTask` в FastAPI, но тогда вам нужно создать объект в своём коде и вернуть Starlette `Response`, включающий его.
-Подробнее см. в официальной документации Starlette по фоновым задачам.
+Подробнее см. в официальной документации Starlette по фоновым задачам.
## Предостережение { #caveat }
diff --git a/docs/ru/docs/tutorial/first-steps.md b/docs/ru/docs/tutorial/first-steps.md
index 9cdf76f5d..c82118cbe 100644
--- a/docs/ru/docs/tutorial/first-steps.md
+++ b/docs/ru/docs/tutorial/first-steps.md
@@ -155,7 +155,7 @@ OpenAPI определяет схему API для вашего API. И эта
`FastAPI` — это класс, который напрямую наследуется от `Starlette`.
-Вы можете использовать весь функционал Starlette и в `FastAPI`.
+Вы можете использовать весь функционал Starlette и в `FastAPI`.
///
diff --git a/docs/ru/docs/tutorial/handling-errors.md b/docs/ru/docs/tutorial/handling-errors.md
index 33b7babf5..2378c8b04 100644
--- a/docs/ru/docs/tutorial/handling-errors.md
+++ b/docs/ru/docs/tutorial/handling-errors.md
@@ -81,7 +81,7 @@
## Установка пользовательских обработчиков исключений { #install-custom-exception-handlers }
-Вы можете добавить пользовательские обработчики исключений с помощью то же самое исключение - утилиты от Starlette.
+Вы можете добавить пользовательские обработчики исключений с помощью то же самое исключение - утилиты от Starlette.
Допустим, у вас есть пользовательское исключение `UnicornException`, которое вы (или используемая вами библиотека) можете `вызвать`.
diff --git a/docs/ru/docs/tutorial/middleware.md b/docs/ru/docs/tutorial/middleware.md
index ea535a151..5803b398b 100644
--- a/docs/ru/docs/tutorial/middleware.md
+++ b/docs/ru/docs/tutorial/middleware.md
@@ -39,7 +39,7 @@
Имейте в виду, что можно добавлять свои собственные заголовки при помощи префикса 'X-'.
-Если же вы хотите добавить собственные заголовки, которые клиент сможет увидеть в браузере, то вам потребуется добавить их в настройки CORS ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}), используя параметр `expose_headers`, см. документацию Starlette's CORS docs.
+Если же вы хотите добавить собственные заголовки, которые клиент сможет увидеть в браузере, то вам потребуется добавить их в настройки CORS ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}), используя параметр `expose_headers`, см. документацию Starlette's CORS docs.
///
diff --git a/docs/ru/docs/tutorial/static-files.md b/docs/ru/docs/tutorial/static-files.md
index 282c84db1..8455aea0a 100644
--- a/docs/ru/docs/tutorial/static-files.md
+++ b/docs/ru/docs/tutorial/static-files.md
@@ -38,4 +38,4 @@ OpenAPI и документация из вашего главного прил
## Больше информации { #more-info }
-Для получения дополнительной информации о деталях и настройках ознакомьтесь с Документацией Starlette о статических файлах.
+Для получения дополнительной информации о деталях и настройках ознакомьтесь с Документацией Starlette о статических файлах.
diff --git a/docs/ru/docs/tutorial/testing.md b/docs/ru/docs/tutorial/testing.md
index 94e9ae8ae..0224798b1 100644
--- a/docs/ru/docs/tutorial/testing.md
+++ b/docs/ru/docs/tutorial/testing.md
@@ -1,6 +1,6 @@
# Тестирование { #testing }
-Благодаря Starlette, тестировать приложения **FastAPI** легко и приятно.
+Благодаря Starlette, тестировать приложения **FastAPI** легко и приятно.
Тестирование основано на библиотеке HTTPX, которая в свою очередь основана на библиотеке Requests, так что все действия знакомы и интуитивно понятны.
diff --git a/docs/tr/docs/advanced/testing-websockets.md b/docs/tr/docs/advanced/testing-websockets.md
index ddacca449..effe557d1 100644
--- a/docs/tr/docs/advanced/testing-websockets.md
+++ b/docs/tr/docs/advanced/testing-websockets.md
@@ -8,6 +8,6 @@ Bu işlem için, `TestClient`'ı bir `with` ifadesinde kullanarak WebSocket'e ba
/// note | Not
-Daha fazla detay için Starlette'in Websockets'i Test Etmek dokümantasyonunu inceleyin.
+Daha fazla detay için Starlette'in Websockets'i Test Etmek dokümantasyonunu inceleyin.
///
diff --git a/docs/tr/docs/alternatives.md b/docs/tr/docs/alternatives.md
index c98b966b5..9b603ea81 100644
--- a/docs/tr/docs/alternatives.md
+++ b/docs/tr/docs/alternatives.md
@@ -415,7 +415,7 @@ Bütün veri doğrulama, veri dönüştürme ve JSON Şemasına bağlı otomatik
///
-### Starlette
+### Starlette
Starlette hafif bir ASGI framework'ü ve yüksek performanslı asyncio servisleri oluşturmak için ideal.
@@ -460,7 +460,7 @@ Yani, Starlette ile yapabileceğiniz her şeyi, Starlette'in bir nevi güçlendi
///
-### Uvicorn
+### Uvicorn
Uvicorn, uvlook ile httptools üzerine kurulu ışık hzında bir ASGI sunucusudur.
diff --git a/docs/tr/docs/features.md b/docs/tr/docs/features.md
index 5d40b1086..86085c5e9 100644
--- a/docs/tr/docs/features.md
+++ b/docs/tr/docs/features.md
@@ -166,7 +166,7 @@ Bütün entegrasyonlar kullanımı kolay olmak üzere (zorunluluklar ile beraber
## Starlette özellikleri
-**FastAPI**, Starlette ile tamamiyle uyumlu ve üzerine kurulu. Yani FastAPI üzerine ekleme yapacağınız herhangi bir Starlette kodu da çalışacaktır.
+**FastAPI**, Starlette ile tamamiyle uyumlu ve üzerine kurulu. Yani FastAPI üzerine ekleme yapacağınız herhangi bir Starlette kodu da çalışacaktır.
`FastAPI` aslında `Starlette`'nin bir sub-class'ı. Eğer Starlette'nin nasıl kullanılacağını biliyor isen, çoğu işlevini aynı şekilde yapıyor.
diff --git a/docs/tr/docs/history-design-future.md b/docs/tr/docs/history-design-future.md
index 8b2662bc3..cad290828 100644
--- a/docs/tr/docs/history-design-future.md
+++ b/docs/tr/docs/history-design-future.md
@@ -58,7 +58,7 @@ Hepsi, tüm geliştiriciler için en iyi geliştirme deneyimini sağlayacak şek
Sonra, JSON Schema ile tamamen uyumlu olmasını sağlamak, kısıtlama bildirimlerini tanımlamanın farklı yollarını desteklemek ve birkaç editördeki testlere dayanarak editör desteğini (tip kontrolleri, otomatik tamamlama) geliştirmek için katkıda bulundum.
-Geliştirme sırasında, diğer ana gereksinim olan **Starlette**'e de katkıda bulundum.
+Geliştirme sırasında, diğer ana gereksinim olan **Starlette**'e de katkıda bulundum.
## Geliştirme
diff --git a/docs/tr/docs/index.md b/docs/tr/docs/index.md
index c7a2b2fbd..516d5959e 100644
--- a/docs/tr/docs/index.md
+++ b/docs/tr/docs/index.md
@@ -123,7 +123,7 @@ Eğer API yerine, terminalde kullanılmak üzere bir Starlette.
+* Web tarafı için Starlette.
* Data tarafı için Pydantic.
## Kurulum
@@ -138,7 +138,7 @@ $ pip install fastapi
-Uygulamamızı kullanılabilir hale getirmek için
Uvicorn ya da
Hypercorn gibi bir ASGI sunucusuna ihtiyacımız olacak.
+Uygulamamızı kullanılabilir hale getirmek için
Uvicorn ya da
Hypercorn gibi bir ASGI sunucusuna ihtiyacımız olacak.
@@ -463,7 +463,7 @@ Starlette tarafında kullanılan:
Hem FastAPI hem de Starlette tarafından kullanılan:
-*
uvicorn - oluşturduğumuz uygulamayı servis edecek web sunucusu görevini üstlenir.
+*
uvicorn - oluşturduğumuz uygulamayı servis edecek web sunucusu görevini üstlenir.
*
orjson - `ORJSONResponse` kullanacaksanız gereklidir.
*
ujson - `UJSONResponse` kullanacaksanız gerekli.
diff --git a/docs/tr/docs/tutorial/first-steps.md b/docs/tr/docs/tutorial/first-steps.md
index 2d2949b50..9a8ef762d 100644
--- a/docs/tr/docs/tutorial/first-steps.md
+++ b/docs/tr/docs/tutorial/first-steps.md
@@ -139,7 +139,7 @@ Ayrıca, API'ınızla iletişim kuracak önyüz, mobil veya IoT uygulamaları gi
`FastAPI` doğrudan `Starlette`'i miras alan bir sınıftır.
-
Starlette'in tüm işlevselliğini `FastAPI` ile de kullanabilirsiniz.
+
Starlette'in tüm işlevselliğini `FastAPI` ile de kullanabilirsiniz.
///
diff --git a/docs/tr/docs/tutorial/static-files.md b/docs/tr/docs/tutorial/static-files.md
index db30f13bc..4542aca77 100644
--- a/docs/tr/docs/tutorial/static-files.md
+++ b/docs/tr/docs/tutorial/static-files.md
@@ -37,4 +37,4 @@ Bu parametrelerin hepsi "`static`"den farklı olabilir, bunları kendi uygulaman
## Daha Fazla Bilgi
-Daha fazla detay ve seçenek için
Starlette'in Statik Dosyalar hakkındaki dokümantasyonunu incelleyin.
+Daha fazla detay ve seçenek için
Starlette'in Statik Dosyalar hakkındaki dokümantasyonunu incelleyin.
diff --git a/docs/uk/docs/alternatives.md b/docs/uk/docs/alternatives.md
index 1acbe237a..786df45c5 100644
--- a/docs/uk/docs/alternatives.md
+++ b/docs/uk/docs/alternatives.md
@@ -415,7 +415,7 @@ Pydantic — це бібліотека для визначення переві
///
-###
Starlette
+###
Starlette
Starlette — це легкий фреймворк/набір інструментів
ASGI, який ідеально підходить для створення високопродуктивних asyncio сервісів.
@@ -460,7 +460,7 @@ ASGI — це новий «стандарт», який розробляєтьс
///
-###
Uvicorn
+###
Uvicorn
Uvicorn — це блискавичний сервер ASGI, побудований на uvloop і httptools.
diff --git a/docs/uk/docs/fastapi-cli.md b/docs/uk/docs/fastapi-cli.md
index 6bbbbc326..f18b10471 100644
--- a/docs/uk/docs/fastapi-cli.md
+++ b/docs/uk/docs/fastapi-cli.md
@@ -60,7 +60,7 @@ FastAPI CLI приймає шлях до Вашої Python програми (н
Натомість, для запуску у продакшн використовуйте `fastapi run`. 🚀
-Всередині **FastAPI CLI** використовує
Uvicorn, високопродуктивний, production-ready, ASGI cервер. 😎
+Всередині **FastAPI CLI** використовує
Uvicorn, високопродуктивний, production-ready, ASGI cервер. 😎
## `fastapi dev`
diff --git a/docs/uk/docs/features.md b/docs/uk/docs/features.md
index 7d679d8ee..aa0ef7c79 100644
--- a/docs/uk/docs/features.md
+++ b/docs/uk/docs/features.md
@@ -147,7 +147,7 @@ FastAPI має розумні налаштування **за замовчува
## Можливості Starlette
-**FastAPI** повністю сумісний із (та побудований на основі)
Starlette. Тому будь-який додатковий код Starlette, який ви маєте, також працюватиме.
+**FastAPI** повністю сумісний із (та побудований на основі)
Starlette. Тому будь-який додатковий код Starlette, який ви маєте, також працюватиме.
**FastAPI** фактично є підкласом **Starlette**. Тому, якщо ви вже знайомі зі Starlette або використовуєте його, більшість функціональності працюватиме так само.
diff --git a/docs/uk/docs/index.md b/docs/uk/docs/index.md
index 7e919e257..0811a4c7b 100644
--- a/docs/uk/docs/index.md
+++ b/docs/uk/docs/index.md
@@ -112,7 +112,7 @@ FastAPI - це сучасний, швидкий (високопродуктив
FastAPI стоїть на плечах гігантів:
-*
Starlette для web частини.
+*
Starlette для web частини.
*
Pydantic для частини даних.
## Вставновлення
@@ -127,7 +127,7 @@ $ pip install fastapi
-Вам також знадобиться сервер ASGI для продакшину, наприклад
Uvicorn або
Hypercorn.
+Вам також знадобиться сервер ASGI для продакшину, наприклад
Uvicorn або
Hypercorn.
@@ -452,7 +452,7 @@ Starlette використовує:
FastAPI / Starlette використовують:
-*
uvicorn - для сервера, який завантажує та обслуговує вашу програму.
+*
uvicorn - для сервера, який завантажує та обслуговує вашу програму.
*
orjson - Необхідно, якщо Ви хочете використовувати `ORJSONResponse`.
*
ujson - Необхідно, якщо Ви хочете використовувати `UJSONResponse`.
diff --git a/docs/uk/docs/tutorial/background-tasks.md b/docs/uk/docs/tutorial/background-tasks.md
index 912ba8c2a..0a9349650 100644
--- a/docs/uk/docs/tutorial/background-tasks.md
+++ b/docs/uk/docs/tutorial/background-tasks.md
@@ -62,7 +62,7 @@
## Технічні деталі
-Клас `BackgroundTasks` походить безпосередньо з
`starlette.background`.
+Клас `BackgroundTasks` походить безпосередньо з
`starlette.background`.
Він імпортується безпосередньо у FastAPI, щоб Ви могли використовувати його з `fastapi` і випадково не імпортували `BackgroundTask` (без s в кінці) з `starlette.background`.
@@ -70,7 +70,7 @@
Також можна використовувати `BackgroundTask` окремо в FastAPI, але для цього Вам доведеться створити об'єкт у коді та повернути Starlette `Response`, включаючи його.
-Детальніше можна почитати в
офіційній документації Starlette про фонові задачі .
+Детальніше можна почитати в
офіційній документації Starlette про фонові задачі .
## Застереження
diff --git a/docs/uk/docs/tutorial/first-steps.md b/docs/uk/docs/tutorial/first-steps.md
index e910c4ccc..3f861cb48 100644
--- a/docs/uk/docs/tutorial/first-steps.md
+++ b/docs/uk/docs/tutorial/first-steps.md
@@ -163,7 +163,7 @@ OpenAPI описує схему для вашого API. І ця схема вк
`FastAPI` це клас, який успадковується безпосередньо від `Starlette`.
-Ви також можете використовувати всю функціональність
Starlette у `FastAPI`.
+Ви також можете використовувати всю функціональність
Starlette у `FastAPI`.
///
diff --git a/docs/uk/docs/tutorial/handling-errors.md b/docs/uk/docs/tutorial/handling-errors.md
index 12a356cd0..32de73b2a 100644
--- a/docs/uk/docs/tutorial/handling-errors.md
+++ b/docs/uk/docs/tutorial/handling-errors.md
@@ -81,7 +81,7 @@
## Встановлення власних обробників помилок
-Ви можете додати власні обробники помилок за допомогою
тих самих утиліт обробки помилок зі Starlette.
+Ви можете додати власні обробники помилок за допомогою
тих самих утиліт обробки помилок зі Starlette.
Припустимо, у Вас є власний обʼєкт помилки `UnicornException`, яке Ви (або бібліотека, яку Ви використовуєте) може `згенерувати` (`raise`).
diff --git a/docs/uk/docs/tutorial/middleware.md b/docs/uk/docs/tutorial/middleware.md
index 807be484a..13ce8573d 100644
--- a/docs/uk/docs/tutorial/middleware.md
+++ b/docs/uk/docs/tutorial/middleware.md
@@ -39,7 +39,7 @@
Не забувайте, що власні заголовки можна додавати, використовуючи
префікс 'X-'.
-Але якщо у Вас є власні заголовки, які Ви хочете, щоб браузерний клієнт міг побачити, потрібно додати їх до Вашої конфігурації CORS (див. [CORS (Обмін ресурсами між різними джерелами)](cors.md){.internal-link target=_blank} за допомогою параметра `expose_headers`, описаного в
документації Starlette по CORS.
+Але якщо у Вас є власні заголовки, які Ви хочете, щоб браузерний клієнт міг побачити, потрібно додати їх до Вашої конфігурації CORS (див. [CORS (Обмін ресурсами між різними джерелами)](cors.md){.internal-link target=_blank} за допомогою параметра `expose_headers`, описаного в
документації Starlette по CORS.
///
diff --git a/docs/uk/docs/tutorial/static-files.md b/docs/uk/docs/tutorial/static-files.md
index a84782d8f..3427f2376 100644
--- a/docs/uk/docs/tutorial/static-files.md
+++ b/docs/uk/docs/tutorial/static-files.md
@@ -37,4 +37,4 @@
## Додаткова інформація
-Детальніше про налаштування та можливості можна дізнатися в
документації Starlette про статичні файли.
+Детальніше про налаштування та можливості можна дізнатися в
документації Starlette про статичні файли.
diff --git a/docs/uk/docs/tutorial/testing.md b/docs/uk/docs/tutorial/testing.md
index 25fc370d6..1105c6b0a 100644
--- a/docs/uk/docs/tutorial/testing.md
+++ b/docs/uk/docs/tutorial/testing.md
@@ -1,6 +1,6 @@
# Тестування
-Тестування **FastAPI** додатків є простим та ефективним завдяки бібліотеці
Starlette, яка базується на
HTTPX.
+Тестування **FastAPI** додатків є простим та ефективним завдяки бібліотеці
Starlette, яка базується на
HTTPX.
Оскільки HTTPX розроблений на основі Requests, його API є інтуїтивно зрозумілим для тих, хто вже знайомий з Requests.
З його допомогою Ви можете використовувати
pytest безпосередньо з **FastAPI**.
diff --git a/docs/vi/docs/fastapi-cli.md b/docs/vi/docs/fastapi-cli.md
index d9e315ae4..e758f4d3a 100644
--- a/docs/vi/docs/fastapi-cli.md
+++ b/docs/vi/docs/fastapi-cli.md
@@ -52,7 +52,7 @@ FastAPI CLI nhận đường dẫn đến chương trình Python của bạn (vd
Đối với vận hành thực tế (production), bạn sẽ sử dụng `fastapi run` thay thế. 🚀
-Ở bên trong, **FastAPI CLI** sử dụng
Uvicorn, một server ASGI có hiệu suất cao, sẵn sàng cho vận hành thực tế (production). 😎
+Ở bên trong, **FastAPI CLI** sử dụng
Uvicorn, một server ASGI có hiệu suất cao, sẵn sàng cho vận hành thực tế (production). 😎
## `fastapi dev`
diff --git a/docs/vi/docs/index.md b/docs/vi/docs/index.md
index e7df2bf72..a5ac1bfb7 100644
--- a/docs/vi/docs/index.md
+++ b/docs/vi/docs/index.md
@@ -124,7 +124,7 @@ Nếu bạn đang xây dựng một
CLIStarlette cho phần web.
+* Starlette cho phần web.
* Pydantic cho phần data.
## Cài đặt
@@ -139,7 +139,7 @@ $ pip install fastapi
-Bạn cũng sẽ cần một ASGI server cho production như
Uvicorn hoặc
Hypercorn.
+Bạn cũng sẽ cần một ASGI server cho production như
Uvicorn hoặc
Hypercorn.
@@ -464,7 +464,7 @@ Sử dụng Starlette:
Sử dụng bởi FastAPI / Starlette:
-*
uvicorn - Server để chạy ứng dụng của bạn.
+*
uvicorn - Server để chạy ứng dụng của bạn.
*
orjson - Bắt buộc nếu bạn muốn sử dụng `ORJSONResponse`.
*
ujson - Bắt buộc nếu bạn muốn sử dụng `UJSONResponse`.
diff --git a/docs/vi/docs/tutorial/first-steps.md b/docs/vi/docs/tutorial/first-steps.md
index 901c8fd59..d1650539c 100644
--- a/docs/vi/docs/tutorial/first-steps.md
+++ b/docs/vi/docs/tutorial/first-steps.md
@@ -139,7 +139,7 @@ Bạn cũng có thể sử dụng nó để sinh code tự động, với các c
`FastAPI` là một class kế thừa trực tiếp `Starlette`.
-Bạn cũng có thể sử dụng tất cả
Starlette chức năng với `FastAPI`.
+Bạn cũng có thể sử dụng tất cả
Starlette chức năng với `FastAPI`.
///
diff --git a/docs/vi/docs/tutorial/static-files.md b/docs/vi/docs/tutorial/static-files.md
index ecf8c2485..1bbec29e7 100644
--- a/docs/vi/docs/tutorial/static-files.md
+++ b/docs/vi/docs/tutorial/static-files.md
@@ -37,4 +37,4 @@ Tất cả các tham số này có thể khác với `static`, điều chỉnh c
## Thông tin thêm
-Để biết thêm chi tiết và tùy chọn, hãy xem
Starlette's docs about Static Files.
+Để biết thêm chi tiết và tùy chọn, hãy xem
Starlette's docs about Static Files.
diff --git a/docs/zh-hant/docs/fastapi-cli.md b/docs/zh-hant/docs/fastapi-cli.md
index 3c644ce46..b107e7e73 100644
--- a/docs/zh-hant/docs/fastapi-cli.md
+++ b/docs/zh-hant/docs/fastapi-cli.md
@@ -60,7 +60,7 @@ FastAPI CLI 接收你的 Python 程式路徑（例如 `main.py`），並自動
在生產環境，你應該使用 `fastapi run` 命令。 🚀
-**FastAPI CLI** 內部使用了
Uvicorn，這是一個高效能、適合生產環境的 ASGI 伺服器。 😎
+**FastAPI CLI** 內部使用了
Uvicorn，這是一個高效能、適合生產環境的 ASGI 伺服器。 😎
## `fastapi dev`
diff --git a/docs/zh-hant/docs/features.md b/docs/zh-hant/docs/features.md
index 3a1392b51..f44d28a7f 100644
--- a/docs/zh-hant/docs/features.md
+++ b/docs/zh-hant/docs/features.md
@@ -167,7 +167,7 @@ FastAPI 有一個使用簡單，但是非常強大的
Starlette的CORS文档中记录的`expose_headers`参数。
+但是，如果你有自定义头部，你希望浏览器中的客户端能够看到它们，你需要将它们添加到你的CORS配置中（在[CORS（跨源资源共享）](../tutorial/cors.md){.internal-link target=_blank}中阅读更多），使用在Starlette的CORS文档中记录的`expose_headers`参数。
diff --git a/docs/zh/docs/advanced/templates.md b/docs/zh/docs/advanced/templates.md
index 8b7019ede..e627eed98 100644
--- a/docs/zh/docs/advanced/templates.md
+++ b/docs/zh/docs/advanced/templates.md
@@ -122,4 +122,4 @@ Item ID: 42
## 更多说明
-包括测试模板等更多详情，请参阅 Starlette 官方文档 - 模板。
+包括测试模板等更多详情，请参阅 Starlette 官方文档 - 模板。
diff --git a/docs/zh/docs/advanced/testing-websockets.md b/docs/zh/docs/advanced/testing-websockets.md
index 5d713d5f7..b84647a3e 100644
--- a/docs/zh/docs/advanced/testing-websockets.md
+++ b/docs/zh/docs/advanced/testing-websockets.md
@@ -8,6 +8,6 @@
/// note | 笔记
-更多细节详见 Starlette 官档 - 测试 WebSockets。
+更多细节详见 Starlette 官档 - 测试 WebSockets。
///
diff --git a/docs/zh/docs/advanced/using-request-directly.md b/docs/zh/docs/advanced/using-request-directly.md
index db0fcafdf..a9658c034 100644
--- a/docs/zh/docs/advanced/using-request-directly.md
+++ b/docs/zh/docs/advanced/using-request-directly.md
@@ -15,7 +15,7 @@
## `Request` 对象的细节
-实际上，**FastAPI** 的底层是 **Starlette**，**FastAPI** 只不过是在 **Starlette** 顶层提供了一些工具，所以能直接使用 Starlette 的 `Request` 对象。
+实际上，**FastAPI** 的底层是 **Starlette**，**FastAPI** 只不过是在 **Starlette** 顶层提供了一些工具，所以能直接使用 Starlette 的 `Request` 对象。
但直接从 `Request` 对象提取数据时（例如，读取请求体），**FastAPI** 不会验证、转换和存档数据（为 API 文档使用 OpenAPI）。
@@ -45,7 +45,7 @@
## `Request` 文档
-更多细节详见 Starlette 官档 - `Request` 对象。
+更多细节详见 Starlette 官档 - `Request` 对象。
/// note | 技术细节
diff --git a/docs/zh/docs/advanced/websockets.md b/docs/zh/docs/advanced/websockets.md
index d91aacc03..005ed9242 100644
--- a/docs/zh/docs/advanced/websockets.md
+++ b/docs/zh/docs/advanced/websockets.md
@@ -172,5 +172,5 @@ Client #1596980209979 left the chat
要了解更多选项，请查看 Starlette 的文档：
-* [WebSocket 类](https://www.starlette.io/websockets/)
-* [基于类的 WebSocket 处理](https://www.starlette.io/endpoints/#websocketendpoint)。
+* [WebSocket 类](https://www.starlette.dev/websockets/)
+* [基于类的 WebSocket 处理](https://www.starlette.dev/endpoints/#websocketendpoint)。
diff --git a/docs/zh/docs/deployment/manually.md b/docs/zh/docs/deployment/manually.md
index 3dc5942e3..2c2784a64 100644
--- a/docs/zh/docs/deployment/manually.md
+++ b/docs/zh/docs/deployment/manually.md
@@ -52,7 +52,7 @@ FastAPI 使用了一种用于构建 Python Web 框架和服务器的标准，称
除此之外，还有其他一些可选的 ASGI 服务器，例如：
-* Uvicorn：高性能 ASGI 服务器。
+* Uvicorn：高性能 ASGI 服务器。
* Hypercorn：与 HTTP/2 和 Trio 等兼容的 ASGI 服务器。
* Daphne：为 Django Channels 构建的 ASGI 服务器。
* Granian：基于 Rust 的 HTTP 服务器，专为 Python 应用设计。
diff --git a/docs/zh/docs/fastapi-cli.md b/docs/zh/docs/fastapi-cli.md
index 8a70e1d80..3b67eb664 100644
--- a/docs/zh/docs/fastapi-cli.md
+++ b/docs/zh/docs/fastapi-cli.md
@@ -52,7 +52,7 @@ FastAPI CLI 接收你的 Python 程序路径，自动检测包含 FastAPI 的变
在生产环境中，你应该使用 `fastapi run` 命令。🚀
-在内部，**FastAPI CLI** 使用了 Uvicorn，这是一个高性能、适用于生产环境的 ASGI 服务器。😎
+在内部，**FastAPI CLI** 使用了 Uvicorn，这是一个高性能、适用于生产环境的 ASGI 服务器。😎
## `fastapi dev`
diff --git a/docs/zh/docs/features.md b/docs/zh/docs/features.md
index 24dc3e8ce..eaf8daff7 100644
--- a/docs/zh/docs/features.md
+++ b/docs/zh/docs/features.md
@@ -165,7 +165,7 @@ FastAPI 有一个使用非常简单，但是非常强大的.
+更多细节查看 Starlette's official docs for Background Tasks.
## 告诫
diff --git a/docs/zh/docs/tutorial/first-steps.md b/docs/zh/docs/tutorial/first-steps.md
index 80a34116a..2d7c35c8c 100644
--- a/docs/zh/docs/tutorial/first-steps.md
+++ b/docs/zh/docs/tutorial/first-steps.md
@@ -155,7 +155,7 @@ OpenAPI 为你的 API 定义 API 模式。该模式中包含了你的 API 发送
`FastAPI` 是直接从 `Starlette` 继承的类。
-你可以通过 `FastAPI` 使用所有的 Starlette 的功能。
+你可以通过 `FastAPI` 使用所有的 Starlette 的功能。
///
diff --git a/docs/zh/docs/tutorial/handling-errors.md b/docs/zh/docs/tutorial/handling-errors.md
index 0b887c292..ae667b74a 100644
--- a/docs/zh/docs/tutorial/handling-errors.md
+++ b/docs/zh/docs/tutorial/handling-errors.md
@@ -83,7 +83,7 @@
## 安装自定义异常处理器
-添加自定义处理器，要使用 [Starlette 的异常工具](https://www.starlette.io/exceptions/)。
+添加自定义处理器，要使用 [Starlette 的异常工具](https://www.starlette.dev/exceptions/)。
假设要触发的自定义异常叫作 `UnicornException`。
diff --git a/docs/zh/docs/tutorial/middleware.md b/docs/zh/docs/tutorial/middleware.md
index 258ca7482..5608c4ee1 100644
--- a/docs/zh/docs/tutorial/middleware.md
+++ b/docs/zh/docs/tutorial/middleware.md
@@ -37,7 +37,7 @@
请记住可以 用'X-' 前缀添加专有自定义请求头.
-但是如果你想让浏览器中的客户端看到你的自定义请求头, 你需要把它们加到 CORS 配置 ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}) 的 `expose_headers` 参数中,在 Starlette's CORS docs文档中.
+但是如果你想让浏览器中的客户端看到你的自定义请求头, 你需要把它们加到 CORS 配置 ([CORS (Cross-Origin Resource Sharing)](cors.md){.internal-link target=_blank}) 的 `expose_headers` 参数中,在 Starlette's CORS docs文档中.
///
diff --git a/docs/zh/docs/tutorial/static-files.md b/docs/zh/docs/tutorial/static-files.md
index c19079565..1a0d4504c 100644
--- a/docs/zh/docs/tutorial/static-files.md
+++ b/docs/zh/docs/tutorial/static-files.md
@@ -37,4 +37,4 @@
## 更多信息
-更多细节和选择查阅 Starlette's docs about Static Files.
+更多细节和选择查阅 Starlette's docs about Static Files.
diff --git a/docs/zh/docs/tutorial/testing.md b/docs/zh/docs/tutorial/testing.md
index 3e0c48caf..3877adbac 100644
--- a/docs/zh/docs/tutorial/testing.md
+++ b/docs/zh/docs/tutorial/testing.md
@@ -1,6 +1,6 @@
# 测试
-感谢 Starlette，测试**FastAPI** 应用轻松又愉快。
+感谢 Starlette，测试**FastAPI** 应用轻松又愉快。
它基于 HTTPX， 而HTTPX又是基于Requests设计的，所以很相似且易懂。
diff --git a/docs_src/pydantic_v1_in_v2/tutorial001_an.py b/docs_src/pydantic_v1_in_v2/tutorial001_an.py
new file mode 100644
index 000000000..62a4b2c21
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial001_an.py
@@ -0,0 +1,9 @@
+from typing import Union
+
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: Union[str, None] = None
+ size: float
diff --git a/docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py b/docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py
new file mode 100644
index 000000000..a8ec729b3
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py
@@ -0,0 +1,7 @@
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: str | None = None
+ size: float
diff --git a/docs_src/pydantic_v1_in_v2/tutorial002_an.py b/docs_src/pydantic_v1_in_v2/tutorial002_an.py
new file mode 100644
index 000000000..3c6a06080
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial002_an.py
@@ -0,0 +1,18 @@
+from typing import Union
+
+from fastapi import FastAPI
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: Union[str, None] = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/")
+async def create_item(item: Item) -> Item:
+ return item
diff --git a/docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py b/docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py
new file mode 100644
index 000000000..4934e7004
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py
@@ -0,0 +1,16 @@
+from fastapi import FastAPI
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: str | None = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/")
+async def create_item(item: Item) -> Item:
+ return item
diff --git a/docs_src/pydantic_v1_in_v2/tutorial003_an.py b/docs_src/pydantic_v1_in_v2/tutorial003_an.py
new file mode 100644
index 000000000..117d6f7a4
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial003_an.py
@@ -0,0 +1,25 @@
+from typing import Union
+
+from fastapi import FastAPI
+from pydantic import BaseModel as BaseModelV2
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: Union[str, None] = None
+ size: float
+
+
+class ItemV2(BaseModelV2):
+ name: str
+ description: Union[str, None] = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/", response_model=ItemV2)
+async def create_item(item: Item):
+ return item
diff --git a/docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py b/docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py
new file mode 100644
index 000000000..6e3013644
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py
@@ -0,0 +1,23 @@
+from fastapi import FastAPI
+from pydantic import BaseModel as BaseModelV2
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: str | None = None
+ size: float
+
+
+class ItemV2(BaseModelV2):
+ name: str
+ description: str | None = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/", response_model=ItemV2)
+async def create_item(item: Item):
+ return item
diff --git a/docs_src/pydantic_v1_in_v2/tutorial004_an.py b/docs_src/pydantic_v1_in_v2/tutorial004_an.py
new file mode 100644
index 000000000..cca8a9ea8
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial004_an.py
@@ -0,0 +1,20 @@
+from typing import Union
+
+from fastapi import FastAPI
+from fastapi.temp_pydantic_v1_params import Body
+from pydantic.v1 import BaseModel
+from typing_extensions import Annotated
+
+
+class Item(BaseModel):
+ name: str
+ description: Union[str, None] = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/")
+async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:
+ return item
diff --git a/docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py b/docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py
new file mode 100644
index 000000000..c251311e0
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py
@@ -0,0 +1,19 @@
+from typing import Annotated
+
+from fastapi import FastAPI
+from fastapi.temp_pydantic_v1_params import Body
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: str | None = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/")
+async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:
+ return item
diff --git a/docs_src/pydantic_v1_in_v2/tutorial004_an_py39.py b/docs_src/pydantic_v1_in_v2/tutorial004_an_py39.py
new file mode 100644
index 000000000..150ab20ae
--- /dev/null
+++ b/docs_src/pydantic_v1_in_v2/tutorial004_an_py39.py
@@ -0,0 +1,19 @@
+from typing import Annotated, Union
+
+from fastapi import FastAPI
+from fastapi.temp_pydantic_v1_params import Body
+from pydantic.v1 import BaseModel
+
+
+class Item(BaseModel):
+ name: str
+ description: Union[str, None] = None
+ size: float
+
+
+app = FastAPI()
+
+
+@app.post("/items/")
+async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:
+ return item
diff --git a/fastapi/__init__.py b/fastapi/__init__.py
index 297d993d6..a7164d18f 100644
--- a/fastapi/__init__.py
+++ b/fastapi/__init__.py
@@ -1,6 +1,6 @@
"""FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
-__version__ = "0.118.3"
+__version__ = "0.119.1"
from starlette import status as status
diff --git a/fastapi/_compat.py b/fastapi/_compat.py
deleted file mode 100644
index 21ea1a237..000000000
--- a/fastapi/_compat.py
+++ /dev/null
@@ -1,680 +0,0 @@
-import warnings
-from collections import deque
-from copy import copy
-from dataclasses import dataclass, is_dataclass
-from enum import Enum
-from functools import lru_cache
-from typing import (
- Any,
- Callable,
- Deque,
- Dict,
- FrozenSet,
- List,
- Mapping,
- Sequence,
- Set,
- Tuple,
- Type,
- Union,
- cast,
-)
-
-from fastapi.exceptions import RequestErrorModel
-from fastapi.types import IncEx, ModelNameMap, UnionType
-from pydantic import BaseModel, create_model
-from pydantic.version import VERSION as PYDANTIC_VERSION
-from starlette.datastructures import UploadFile
-from typing_extensions import Annotated, Literal, get_args, get_origin
-
-PYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(".")[:2])
-PYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2
-
-
-sequence_annotation_to_type = {
- Sequence: list,
- List: list,
- list: list,
- Tuple: tuple,
- tuple: tuple,
- Set: set,
- set: set,
- FrozenSet: frozenset,
- frozenset: frozenset,
- Deque: deque,
- deque: deque,
-}
-
-sequence_types = tuple(sequence_annotation_to_type.keys())
-
-Url: Type[Any]
-
-if PYDANTIC_V2:
- from pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError
- from pydantic import TypeAdapter
- from pydantic import ValidationError as ValidationError
- from pydantic._internal._schema_generation_shared import ( # type: ignore[attr-defined]
- GetJsonSchemaHandler as GetJsonSchemaHandler,
- )
- from pydantic._internal._typing_extra import eval_type_lenient
- from pydantic._internal._utils import lenient_issubclass as lenient_issubclass
- from pydantic.fields import FieldInfo
- from pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema
- from pydantic.json_schema import JsonSchemaValue as JsonSchemaValue
- from pydantic_core import CoreSchema as CoreSchema
- from pydantic_core import PydanticUndefined, PydanticUndefinedType
- from pydantic_core import Url as Url
-
- try:
- from pydantic_core.core_schema import (
- with_info_plain_validator_function as with_info_plain_validator_function,
- )
- except ImportError: # pragma: no cover
- from pydantic_core.core_schema import (
- general_plain_validator_function as with_info_plain_validator_function, # noqa: F401
- )
-
- RequiredParam = PydanticUndefined
- Undefined = PydanticUndefined
- UndefinedType = PydanticUndefinedType
- evaluate_forwardref = eval_type_lenient
- Validator = Any
-
- class BaseConfig:
- pass
-
- class ErrorWrapper(Exception):
- pass
-
- @dataclass
- class ModelField:
- field_info: FieldInfo
- name: str
- mode: Literal["validation", "serialization"] = "validation"
-
- @property
- def alias(self) -> str:
- a = self.field_info.alias
- return a if a is not None else self.name
-
- @property
- def required(self) -> bool:
- return self.field_info.is_required()
-
- @property
- def default(self) -> Any:
- return self.get_default()
-
- @property
- def type_(self) -> Any:
- return self.field_info.annotation
-
- def __post_init__(self) -> None:
- with warnings.catch_warnings():
- # Pydantic >= 2.12.0 warns about field specific metadata that is unused
- # (e.g. `TypeAdapter(Annotated[int, Field(alias='b')])`). In some cases, we
- # end up building the type adapter from a model field annotation so we
- # need to ignore the warning:
- if PYDANTIC_VERSION_MINOR_TUPLE >= (2, 12):
- from pydantic.warnings import UnsupportedFieldAttributeWarning
-
- warnings.simplefilter(
- "ignore", category=UnsupportedFieldAttributeWarning
- )
- self._type_adapter: TypeAdapter[Any] = TypeAdapter(
- Annotated[self.field_info.annotation, self.field_info]
- )
-
- def get_default(self) -> Any:
- if self.field_info.is_required():
- return Undefined
- return self.field_info.get_default(call_default_factory=True)
-
- def validate(
- self,
- value: Any,
- values: Dict[str, Any] = {}, # noqa: B006
- *,
- loc: Tuple[Union[int, str], ...] = (),
- ) -> Tuple[Any, Union[List[Dict[str, Any]], None]]:
- try:
- return (
- self._type_adapter.validate_python(value, from_attributes=True),
- None,
- )
- except ValidationError as exc:
- return None, _regenerate_error_with_loc(
- errors=exc.errors(include_url=False), loc_prefix=loc
- )
-
- def serialize(
- self,
- value: Any,
- *,
- mode: Literal["json", "python"] = "json",
- include: Union[IncEx, None] = None,
- exclude: Union[IncEx, None] = None,
- by_alias: bool = True,
- exclude_unset: bool = False,
- exclude_defaults: bool = False,
- exclude_none: bool = False,
- ) -> Any:
- # What calls this code passes a value that already called
- # self._type_adapter.validate_python(value)
- return self._type_adapter.dump_python(
- value,
- mode=mode,
- include=include,
- exclude=exclude,
- by_alias=by_alias,
- exclude_unset=exclude_unset,
- exclude_defaults=exclude_defaults,
- exclude_none=exclude_none,
- )
-
- def __hash__(self) -> int:
- # Each ModelField is unique for our purposes, to allow making a dict from
- # ModelField to its JSON Schema.
- return id(self)
-
- def get_annotation_from_field_info(
- annotation: Any, field_info: FieldInfo, field_name: str
- ) -> Any:
- return annotation
-
- def _normalize_errors(errors: Sequence[Any]) -> List[Dict[str, Any]]:
- return errors # type: ignore[return-value]
-
- def _model_rebuild(model: Type[BaseModel]) -> None:
- model.model_rebuild()
-
- def _model_dump(
- model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
- ) -> Any:
- return model.model_dump(mode=mode, **kwargs)
-
- def _get_model_config(model: BaseModel) -> Any:
- return model.model_config
-
- def get_schema_from_model_field(
- *,
- field: ModelField,
- schema_generator: GenerateJsonSchema,
- model_name_map: ModelNameMap,
- field_mapping: Dict[
- Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
- ],
- separate_input_output_schemas: bool = True,
- ) -> Dict[str, Any]:
- override_mode: Union[Literal["validation"], None] = (
- None if separate_input_output_schemas else "validation"
- )
- # This expects that GenerateJsonSchema was already used to generate the definitions
- json_schema = field_mapping[(field, override_mode or field.mode)]
- if "$ref" not in json_schema:
- # TODO remove when deprecating Pydantic v1
- # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207
- json_schema["title"] = (
- field.field_info.title or field.alias.title().replace("_", " ")
- )
- return json_schema
-
- def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:
- return {}
-
- def get_definitions(
- *,
- fields: List[ModelField],
- schema_generator: GenerateJsonSchema,
- model_name_map: ModelNameMap,
- separate_input_output_schemas: bool = True,
- ) -> Tuple[
- Dict[
- Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
- ],
- Dict[str, Dict[str, Any]],
- ]:
- override_mode: Union[Literal["validation"], None] = (
- None if separate_input_output_schemas else "validation"
- )
- inputs = [
- (field, override_mode or field.mode, field._type_adapter.core_schema)
- for field in fields
- ]
- field_mapping, definitions = schema_generator.generate_definitions(
- inputs=inputs
- )
- for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():
- if "description" in item_def:
- item_description = cast(str, item_def["description"]).split("\f")[0]
- item_def["description"] = item_description
- return field_mapping, definitions # type: ignore[return-value]
-
- def is_scalar_field(field: ModelField) -> bool:
- from fastapi import params
-
- return field_annotation_is_scalar(
- field.field_info.annotation
- ) and not isinstance(field.field_info, params.Body)
-
- def is_sequence_field(field: ModelField) -> bool:
- return field_annotation_is_sequence(field.field_info.annotation)
-
- def is_scalar_sequence_field(field: ModelField) -> bool:
- return field_annotation_is_scalar_sequence(field.field_info.annotation)
-
- def is_bytes_field(field: ModelField) -> bool:
- return is_bytes_or_nonable_bytes_annotation(field.type_)
-
- def is_bytes_sequence_field(field: ModelField) -> bool:
- return is_bytes_sequence_annotation(field.type_)
-
- def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
- cls = type(field_info)
- merged_field_info = cls.from_annotation(annotation)
- new_field_info = copy(field_info)
- new_field_info.metadata = merged_field_info.metadata
- new_field_info.annotation = merged_field_info.annotation
- return new_field_info
-
- def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
- origin_type = (
- get_origin(field.field_info.annotation) or field.field_info.annotation
- )
- assert issubclass(origin_type, sequence_types) # type: ignore[arg-type]
- return sequence_annotation_to_type[origin_type](value) # type: ignore[no-any-return]
-
- def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:
- error = ValidationError.from_exception_data(
- "Field required", [{"type": "missing", "loc": loc, "input": {}}]
- ).errors(include_url=False)[0]
- error["input"] = None
- return error # type: ignore[return-value]
-
- def create_body_model(
- *, fields: Sequence[ModelField], model_name: str
- ) -> Type[BaseModel]:
- field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}
- BodyModel: Type[BaseModel] = create_model(model_name, **field_params) # type: ignore[call-overload]
- return BodyModel
-
- def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:
- return [
- ModelField(field_info=field_info, name=name)
- for name, field_info in model.model_fields.items()
- ]
-
-else:
- from fastapi.openapi.constants import REF_PREFIX as REF_PREFIX
- from pydantic import AnyUrl as Url # noqa: F401
- from pydantic import ( # type: ignore[assignment]
- BaseConfig as BaseConfig, # noqa: F401
- )
- from pydantic import ValidationError as ValidationError # noqa: F401
- from pydantic.class_validators import ( # type: ignore[no-redef]
- Validator as Validator, # noqa: F401
- )
- from pydantic.error_wrappers import ( # type: ignore[no-redef]
- ErrorWrapper as ErrorWrapper, # noqa: F401
- )
- from pydantic.errors import MissingError
- from pydantic.fields import ( # type: ignore[attr-defined]
- SHAPE_FROZENSET,
- SHAPE_LIST,
- SHAPE_SEQUENCE,
- SHAPE_SET,
- SHAPE_SINGLETON,
- SHAPE_TUPLE,
- SHAPE_TUPLE_ELLIPSIS,
- )
- from pydantic.fields import FieldInfo as FieldInfo
- from pydantic.fields import ( # type: ignore[no-redef,attr-defined]
- ModelField as ModelField, # noqa: F401
- )
-
- # Keeping old "Required" functionality from Pydantic V1, without
- # shadowing typing.Required.
- RequiredParam: Any = Ellipsis # type: ignore[no-redef]
- from pydantic.fields import ( # type: ignore[no-redef,attr-defined]
- Undefined as Undefined,
- )
- from pydantic.fields import ( # type: ignore[no-redef, attr-defined]
- UndefinedType as UndefinedType, # noqa: F401
- )
- from pydantic.schema import (
- field_schema,
- get_flat_models_from_fields,
- get_model_name_map,
- model_process_schema,
- )
- from pydantic.schema import ( # type: ignore[no-redef] # noqa: F401
- get_annotation_from_field_info as get_annotation_from_field_info,
- )
- from pydantic.typing import ( # type: ignore[no-redef]
- evaluate_forwardref as evaluate_forwardref, # noqa: F401
- )
- from pydantic.utils import ( # type: ignore[no-redef]
- lenient_issubclass as lenient_issubclass, # noqa: F401
- )
-
- GetJsonSchemaHandler = Any # type: ignore[assignment,misc]
- JsonSchemaValue = Dict[str, Any] # type: ignore[misc]
- CoreSchema = Any # type: ignore[assignment,misc]
-
- sequence_shapes = {
- SHAPE_LIST,
- SHAPE_SET,
- SHAPE_FROZENSET,
- SHAPE_TUPLE,
- SHAPE_SEQUENCE,
- SHAPE_TUPLE_ELLIPSIS,
- }
- sequence_shape_to_type = {
- SHAPE_LIST: list,
- SHAPE_SET: set,
- SHAPE_TUPLE: tuple,
- SHAPE_SEQUENCE: list,
- SHAPE_TUPLE_ELLIPSIS: list,
- }
-
- @dataclass
- class GenerateJsonSchema: # type: ignore[no-redef]
- ref_template: str
-
- class PydanticSchemaGenerationError(Exception): # type: ignore[no-redef]
- pass
-
- def with_info_plain_validator_function( # type: ignore[misc]
- function: Callable[..., Any],
- *,
- ref: Union[str, None] = None,
- metadata: Any = None,
- serialization: Any = None,
- ) -> Any:
- return {}
-
- def get_model_definitions(
- *,
- flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
- model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
- ) -> Dict[str, Any]:
- definitions: Dict[str, Dict[str, Any]] = {}
- for model in flat_models:
- m_schema, m_definitions, m_nested_models = model_process_schema(
- model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
- )
- definitions.update(m_definitions)
- model_name = model_name_map[model]
- definitions[model_name] = m_schema
- for m_schema in definitions.values():
- if "description" in m_schema:
- m_schema["description"] = m_schema["description"].split("\f")[0]
- return definitions
-
- def is_pv1_scalar_field(field: ModelField) -> bool:
- from fastapi import params
-
- field_info = field.field_info
- if not (
- field.shape == SHAPE_SINGLETON # type: ignore[attr-defined]
- and not lenient_issubclass(field.type_, BaseModel)
- and not lenient_issubclass(field.type_, dict)
- and not field_annotation_is_sequence(field.type_)
- and not is_dataclass(field.type_)
- and not isinstance(field_info, params.Body)
- ):
- return False
- if field.sub_fields: # type: ignore[attr-defined]
- if not all(
- is_pv1_scalar_field(f)
- for f in field.sub_fields # type: ignore[attr-defined]
- ):
- return False
- return True
-
- def is_pv1_scalar_sequence_field(field: ModelField) -> bool:
- if (field.shape in sequence_shapes) and not lenient_issubclass( # type: ignore[attr-defined]
- field.type_, BaseModel
- ):
- if field.sub_fields is not None: # type: ignore[attr-defined]
- for sub_field in field.sub_fields: # type: ignore[attr-defined]
- if not is_pv1_scalar_field(sub_field):
- return False
- return True
- if _annotation_is_sequence(field.type_):
- return True
- return False
-
- def _normalize_errors(errors: Sequence[Any]) -> List[Dict[str, Any]]:
- use_errors: List[Any] = []
- for error in errors:
- if isinstance(error, ErrorWrapper):
- new_errors = ValidationError( # type: ignore[call-arg]
- errors=[error], model=RequestErrorModel
- ).errors()
- use_errors.extend(new_errors)
- elif isinstance(error, list):
- use_errors.extend(_normalize_errors(error))
- else:
- use_errors.append(error)
- return use_errors
-
- def _model_rebuild(model: Type[BaseModel]) -> None:
- model.update_forward_refs()
-
- def _model_dump(
- model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
- ) -> Any:
- return model.dict(**kwargs)
-
- def _get_model_config(model: BaseModel) -> Any:
- return model.__config__ # type: ignore[attr-defined]
-
- def get_schema_from_model_field(
- *,
- field: ModelField,
- schema_generator: GenerateJsonSchema,
- model_name_map: ModelNameMap,
- field_mapping: Dict[
- Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
- ],
- separate_input_output_schemas: bool = True,
- ) -> Dict[str, Any]:
- # This expects that GenerateJsonSchema was already used to generate the definitions
- return field_schema( # type: ignore[no-any-return]
- field, model_name_map=model_name_map, ref_prefix=REF_PREFIX
- )[0]
-
- def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:
- models = get_flat_models_from_fields(fields, known_models=set())
- return get_model_name_map(models) # type: ignore[no-any-return]
-
- def get_definitions(
- *,
- fields: List[ModelField],
- schema_generator: GenerateJsonSchema,
- model_name_map: ModelNameMap,
- separate_input_output_schemas: bool = True,
- ) -> Tuple[
- Dict[
- Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
- ],
- Dict[str, Dict[str, Any]],
- ]:
- models = get_flat_models_from_fields(fields, known_models=set())
- return {}, get_model_definitions(
- flat_models=models, model_name_map=model_name_map
- )
-
- def is_scalar_field(field: ModelField) -> bool:
- return is_pv1_scalar_field(field)
-
- def is_sequence_field(field: ModelField) -> bool:
- return field.shape in sequence_shapes or _annotation_is_sequence(field.type_) # type: ignore[attr-defined]
-
- def is_scalar_sequence_field(field: ModelField) -> bool:
- return is_pv1_scalar_sequence_field(field)
-
- def is_bytes_field(field: ModelField) -> bool:
- return lenient_issubclass(field.type_, bytes)
-
- def is_bytes_sequence_field(field: ModelField) -> bool:
- return field.shape in sequence_shapes and lenient_issubclass(field.type_, bytes) # type: ignore[attr-defined]
-
- def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
- return copy(field_info)
-
- def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
- return sequence_shape_to_type[field.shape](value) # type: ignore[no-any-return,attr-defined]
-
- def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:
- missing_field_error = ErrorWrapper(MissingError(), loc=loc) # type: ignore[call-arg]
- new_error = ValidationError([missing_field_error], RequestErrorModel)
- return new_error.errors()[0] # type: ignore[return-value]
-
- def create_body_model(
- *, fields: Sequence[ModelField], model_name: str
- ) -> Type[BaseModel]:
- BodyModel = create_model(model_name)
- for f in fields:
- BodyModel.__fields__[f.name] = f # type: ignore[index]
- return BodyModel
-
- def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:
- return list(model.__fields__.values()) # type: ignore[attr-defined]
-
-
-def _regenerate_error_with_loc(
- *, errors: Sequence[Any], loc_prefix: Tuple[Union[str, int], ...]
-) -> List[Dict[str, Any]]:
- updated_loc_errors: List[Any] = [
- {**err, "loc": loc_prefix + err.get("loc", ())}
- for err in _normalize_errors(errors)
- ]
-
- return updated_loc_errors
-
-
-def _annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:
- if lenient_issubclass(annotation, (str, bytes)):
- return False
- return lenient_issubclass(annotation, sequence_types)
-
-
-def field_annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- for arg in get_args(annotation):
- if field_annotation_is_sequence(arg):
- return True
- return False
- return _annotation_is_sequence(annotation) or _annotation_is_sequence(
- get_origin(annotation)
- )
-
-
-def value_is_sequence(value: Any) -> bool:
- return isinstance(value, sequence_types) and not isinstance(value, (str, bytes)) # type: ignore[arg-type]
-
-
-def _annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:
- return (
- lenient_issubclass(annotation, (BaseModel, Mapping, UploadFile))
- or _annotation_is_sequence(annotation)
- or is_dataclass(annotation)
- )
-
-
-def field_annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- return any(field_annotation_is_complex(arg) for arg in get_args(annotation))
-
- if origin is Annotated:
- return field_annotation_is_complex(get_args(annotation)[0])
-
- return (
- _annotation_is_complex(annotation)
- or _annotation_is_complex(origin)
- or hasattr(origin, "__pydantic_core_schema__")
- or hasattr(origin, "__get_pydantic_core_schema__")
- )
-
-
-def field_annotation_is_scalar(annotation: Any) -> bool:
- # handle Ellipsis here to make tuple[int, ...] work nicely
- return annotation is Ellipsis or not field_annotation_is_complex(annotation)
-
-
-def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- at_least_one_scalar_sequence = False
- for arg in get_args(annotation):
- if field_annotation_is_scalar_sequence(arg):
- at_least_one_scalar_sequence = True
- continue
- elif not field_annotation_is_scalar(arg):
- return False
- return at_least_one_scalar_sequence
- return field_annotation_is_sequence(annotation) and all(
- field_annotation_is_scalar(sub_annotation)
- for sub_annotation in get_args(annotation)
- )
-
-
-def is_bytes_or_nonable_bytes_annotation(annotation: Any) -> bool:
- if lenient_issubclass(annotation, bytes):
- return True
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- for arg in get_args(annotation):
- if lenient_issubclass(arg, bytes):
- return True
- return False
-
-
-def is_uploadfile_or_nonable_uploadfile_annotation(annotation: Any) -> bool:
- if lenient_issubclass(annotation, UploadFile):
- return True
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- for arg in get_args(annotation):
- if lenient_issubclass(arg, UploadFile):
- return True
- return False
-
-
-def is_bytes_sequence_annotation(annotation: Any) -> bool:
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- at_least_one = False
- for arg in get_args(annotation):
- if is_bytes_sequence_annotation(arg):
- at_least_one = True
- continue
- return at_least_one
- return field_annotation_is_sequence(annotation) and all(
- is_bytes_or_nonable_bytes_annotation(sub_annotation)
- for sub_annotation in get_args(annotation)
- )
-
-
-def is_uploadfile_sequence_annotation(annotation: Any) -> bool:
- origin = get_origin(annotation)
- if origin is Union or origin is UnionType:
- at_least_one = False
- for arg in get_args(annotation):
- if is_uploadfile_sequence_annotation(arg):
- at_least_one = True
- continue
- return at_least_one
- return field_annotation_is_sequence(annotation) and all(
- is_uploadfile_or_nonable_uploadfile_annotation(sub_annotation)
- for sub_annotation in get_args(annotation)
- )
-
-
-@lru_cache
-def get_cached_model_fields(model: Type[BaseModel]) -> List[ModelField]:
- return get_model_fields(model)
diff --git a/fastapi/_compat/__init__.py b/fastapi/_compat/__init__.py
new file mode 100644
index 000000000..0aadd68de
--- /dev/null
+++ b/fastapi/_compat/__init__.py
@@ -0,0 +1,50 @@
+from .main import BaseConfig as BaseConfig
+from .main import PydanticSchemaGenerationError as PydanticSchemaGenerationError
+from .main import RequiredParam as RequiredParam
+from .main import Undefined as Undefined
+from .main import UndefinedType as UndefinedType
+from .main import Url as Url
+from .main import Validator as Validator
+from .main import _get_model_config as _get_model_config
+from .main import _is_error_wrapper as _is_error_wrapper
+from .main import _is_model_class as _is_model_class
+from .main import _is_model_field as _is_model_field
+from .main import _is_undefined as _is_undefined
+from .main import _model_dump as _model_dump
+from .main import _model_rebuild as _model_rebuild
+from .main import copy_field_info as copy_field_info
+from .main import create_body_model as create_body_model
+from .main import evaluate_forwardref as evaluate_forwardref
+from .main import get_annotation_from_field_info as get_annotation_from_field_info
+from .main import get_cached_model_fields as get_cached_model_fields
+from .main import get_compat_model_name_map as get_compat_model_name_map
+from .main import get_definitions as get_definitions
+from .main import get_missing_field_error as get_missing_field_error
+from .main import get_schema_from_model_field as get_schema_from_model_field
+from .main import is_bytes_field as is_bytes_field
+from .main import is_bytes_sequence_field as is_bytes_sequence_field
+from .main import is_scalar_field as is_scalar_field
+from .main import is_scalar_sequence_field as is_scalar_sequence_field
+from .main import is_sequence_field as is_sequence_field
+from .main import serialize_sequence_value as serialize_sequence_value
+from .main import (
+ with_info_plain_validator_function as with_info_plain_validator_function,
+)
+from .may_v1 import CoreSchema as CoreSchema
+from .may_v1 import GetJsonSchemaHandler as GetJsonSchemaHandler
+from .may_v1 import JsonSchemaValue as JsonSchemaValue
+from .may_v1 import _normalize_errors as _normalize_errors
+from .model_field import ModelField as ModelField
+from .shared import PYDANTIC_V2 as PYDANTIC_V2
+from .shared import PYDANTIC_VERSION_MINOR_TUPLE as PYDANTIC_VERSION_MINOR_TUPLE
+from .shared import annotation_is_pydantic_v1 as annotation_is_pydantic_v1
+from .shared import field_annotation_is_scalar as field_annotation_is_scalar
+from .shared import (
+ is_uploadfile_or_nonable_uploadfile_annotation as is_uploadfile_or_nonable_uploadfile_annotation,
+)
+from .shared import (
+ is_uploadfile_sequence_annotation as is_uploadfile_sequence_annotation,
+)
+from .shared import lenient_issubclass as lenient_issubclass
+from .shared import sequence_types as sequence_types
+from .shared import value_is_sequence as value_is_sequence
diff --git a/fastapi/_compat/main.py b/fastapi/_compat/main.py
new file mode 100644
index 000000000..e5275950e
--- /dev/null
+++ b/fastapi/_compat/main.py
@@ -0,0 +1,362 @@
+import sys
+from functools import lru_cache
+from typing import (
+ Any,
+ Dict,
+ List,
+ Sequence,
+ Tuple,
+ Type,
+)
+
+from fastapi._compat import may_v1
+from fastapi._compat.shared import PYDANTIC_V2, lenient_issubclass
+from fastapi.types import ModelNameMap
+from pydantic import BaseModel
+from typing_extensions import Literal
+
+from .model_field import ModelField
+
+if PYDANTIC_V2:
+ from .v2 import BaseConfig as BaseConfig
+ from .v2 import FieldInfo as FieldInfo
+ from .v2 import PydanticSchemaGenerationError as PydanticSchemaGenerationError
+ from .v2 import RequiredParam as RequiredParam
+ from .v2 import Undefined as Undefined
+ from .v2 import UndefinedType as UndefinedType
+ from .v2 import Url as Url
+ from .v2 import Validator as Validator
+ from .v2 import evaluate_forwardref as evaluate_forwardref
+ from .v2 import get_missing_field_error as get_missing_field_error
+ from .v2 import (
+ with_info_plain_validator_function as with_info_plain_validator_function,
+ )
+else:
+ from .v1 import BaseConfig as BaseConfig # type: ignore[assignment]
+ from .v1 import FieldInfo as FieldInfo
+ from .v1 import ( # type: ignore[assignment]
+ PydanticSchemaGenerationError as PydanticSchemaGenerationError,
+ )
+ from .v1 import RequiredParam as RequiredParam
+ from .v1 import Undefined as Undefined
+ from .v1 import UndefinedType as UndefinedType
+ from .v1 import Url as Url # type: ignore[assignment]
+ from .v1 import Validator as Validator
+ from .v1 import evaluate_forwardref as evaluate_forwardref
+ from .v1 import get_missing_field_error as get_missing_field_error
+ from .v1 import ( # type: ignore[assignment]
+ with_info_plain_validator_function as with_info_plain_validator_function,
+ )
+
+
+@lru_cache
+def get_cached_model_fields(model: Type[BaseModel]) -> List[ModelField]:
+ if lenient_issubclass(model, may_v1.BaseModel):
+ from fastapi._compat import v1
+
+ return v1.get_model_fields(model)
+ else:
+ from . import v2
+
+ return v2.get_model_fields(model) # type: ignore[return-value]
+
+
+def _is_undefined(value: object) -> bool:
+ if isinstance(value, may_v1.UndefinedType):
+ return True
+ elif PYDANTIC_V2:
+ from . import v2
+
+ return isinstance(value, v2.UndefinedType)
+ return False
+
+
+def _get_model_config(model: BaseModel) -> Any:
+ if isinstance(model, may_v1.BaseModel):
+ from fastapi._compat import v1
+
+ return v1._get_model_config(model)
+ elif PYDANTIC_V2:
+ from . import v2
+
+ return v2._get_model_config(model)
+
+
+def _model_dump(
+ model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
+) -> Any:
+ if isinstance(model, may_v1.BaseModel):
+ from fastapi._compat import v1
+
+ return v1._model_dump(model, mode=mode, **kwargs)
+ elif PYDANTIC_V2:
+ from . import v2
+
+ return v2._model_dump(model, mode=mode, **kwargs)
+
+
+def _is_error_wrapper(exc: Exception) -> bool:
+ if isinstance(exc, may_v1.ErrorWrapper):
+ return True
+ elif PYDANTIC_V2:
+ from . import v2
+
+ return isinstance(exc, v2.ErrorWrapper)
+ return False
+
+
+def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
+ if isinstance(field_info, may_v1.FieldInfo):
+ from fastapi._compat import v1
+
+ return v1.copy_field_info(field_info=field_info, annotation=annotation)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.copy_field_info(field_info=field_info, annotation=annotation)
+
+
+def create_body_model(
+ *, fields: Sequence[ModelField], model_name: str
+) -> Type[BaseModel]:
+ if fields and isinstance(fields[0], may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.create_body_model(fields=fields, model_name=model_name)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.create_body_model(fields=fields, model_name=model_name) # type: ignore[arg-type]
+
+
+def get_annotation_from_field_info(
+ annotation: Any, field_info: FieldInfo, field_name: str
+) -> Any:
+ if isinstance(field_info, may_v1.FieldInfo):
+ from fastapi._compat import v1
+
+ return v1.get_annotation_from_field_info(
+ annotation=annotation, field_info=field_info, field_name=field_name
+ )
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.get_annotation_from_field_info(
+ annotation=annotation, field_info=field_info, field_name=field_name
+ )
+
+
+def is_bytes_field(field: ModelField) -> bool:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.is_bytes_field(field)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.is_bytes_field(field) # type: ignore[arg-type]
+
+
+def is_bytes_sequence_field(field: ModelField) -> bool:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.is_bytes_sequence_field(field)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.is_bytes_sequence_field(field) # type: ignore[arg-type]
+
+
+def is_scalar_field(field: ModelField) -> bool:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.is_scalar_field(field)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.is_scalar_field(field) # type: ignore[arg-type]
+
+
+def is_scalar_sequence_field(field: ModelField) -> bool:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.is_scalar_sequence_field(field)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.is_scalar_sequence_field(field) # type: ignore[arg-type]
+
+
+def is_sequence_field(field: ModelField) -> bool:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.is_sequence_field(field)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.is_sequence_field(field) # type: ignore[arg-type]
+
+
+def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.serialize_sequence_value(field=field, value=value)
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.serialize_sequence_value(field=field, value=value) # type: ignore[arg-type]
+
+
+def _model_rebuild(model: Type[BaseModel]) -> None:
+ if lenient_issubclass(model, may_v1.BaseModel):
+ from fastapi._compat import v1
+
+ v1._model_rebuild(model)
+ elif PYDANTIC_V2:
+ from . import v2
+
+ v2._model_rebuild(model)
+
+
+def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:
+ v1_model_fields = [
+ field for field in fields if isinstance(field, may_v1.ModelField)
+ ]
+ if v1_model_fields:
+ from fastapi._compat import v1
+
+ v1_flat_models = v1.get_flat_models_from_fields(
+ v1_model_fields, known_models=set()
+ )
+ all_flat_models = v1_flat_models
+ else:
+ all_flat_models = set()
+ if PYDANTIC_V2:
+ from . import v2
+
+ v2_model_fields = [
+ field for field in fields if isinstance(field, v2.ModelField)
+ ]
+ v2_flat_models = v2.get_flat_models_from_fields(
+ v2_model_fields, known_models=set()
+ )
+ all_flat_models = all_flat_models.union(v2_flat_models)
+
+ model_name_map = v2.get_model_name_map(all_flat_models)
+ return model_name_map
+ from fastapi._compat import v1
+
+ model_name_map = v1.get_model_name_map(all_flat_models)
+ return model_name_map
+
+
+def get_definitions(
+ *,
+ fields: List[ModelField],
+ model_name_map: ModelNameMap,
+ separate_input_output_schemas: bool = True,
+) -> Tuple[
+ Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]],
+ may_v1.JsonSchemaValue,
+ ],
+ Dict[str, Dict[str, Any]],
+]:
+ if sys.version_info < (3, 14):
+ v1_fields = [field for field in fields if isinstance(field, may_v1.ModelField)]
+ v1_field_maps, v1_definitions = may_v1.get_definitions(
+ fields=v1_fields,
+ model_name_map=model_name_map,
+ separate_input_output_schemas=separate_input_output_schemas,
+ )
+ if not PYDANTIC_V2:
+ return v1_field_maps, v1_definitions
+ else:
+ from . import v2
+
+ v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]
+ v2_field_maps, v2_definitions = v2.get_definitions(
+ fields=v2_fields,
+ model_name_map=model_name_map,
+ separate_input_output_schemas=separate_input_output_schemas,
+ )
+ all_definitions = {**v1_definitions, **v2_definitions}
+ all_field_maps = {**v1_field_maps, **v2_field_maps}
+ return all_field_maps, all_definitions
+
+ # Pydantic v1 is not supported since Python 3.14
+ else:
+ from . import v2
+
+ v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]
+ v2_field_maps, v2_definitions = v2.get_definitions(
+ fields=v2_fields,
+ model_name_map=model_name_map,
+ separate_input_output_schemas=separate_input_output_schemas,
+ )
+ return v2_field_maps, v2_definitions
+
+
+def get_schema_from_model_field(
+ *,
+ field: ModelField,
+ model_name_map: ModelNameMap,
+ field_mapping: Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]],
+ may_v1.JsonSchemaValue,
+ ],
+ separate_input_output_schemas: bool = True,
+) -> Dict[str, Any]:
+ if isinstance(field, may_v1.ModelField):
+ from fastapi._compat import v1
+
+ return v1.get_schema_from_model_field(
+ field=field,
+ model_name_map=model_name_map,
+ field_mapping=field_mapping,
+ separate_input_output_schemas=separate_input_output_schemas,
+ )
+ else:
+ assert PYDANTIC_V2
+ from . import v2
+
+ return v2.get_schema_from_model_field(
+ field=field, # type: ignore[arg-type]
+ model_name_map=model_name_map,
+ field_mapping=field_mapping, # type: ignore[arg-type]
+ separate_input_output_schemas=separate_input_output_schemas,
+ )
+
+
+def _is_model_field(value: Any) -> bool:
+ if isinstance(value, may_v1.ModelField):
+ return True
+ elif PYDANTIC_V2:
+ from . import v2
+
+ return isinstance(value, v2.ModelField)
+ return False
+
+
+def _is_model_class(value: Any) -> bool:
+ if lenient_issubclass(value, may_v1.BaseModel):
+ return True
+ elif PYDANTIC_V2:
+ from . import v2
+
+ return lenient_issubclass(value, v2.BaseModel) # type: ignore[attr-defined]
+ return False
diff --git a/fastapi/_compat/may_v1.py b/fastapi/_compat/may_v1.py
new file mode 100644
index 000000000..beea4d167
--- /dev/null
+++ b/fastapi/_compat/may_v1.py
@@ -0,0 +1,123 @@
+import sys
+from typing import Any, Dict, List, Literal, Sequence, Tuple, Type, Union
+
+from fastapi.types import ModelNameMap
+
+if sys.version_info >= (3, 14):
+
+ class AnyUrl:
+ pass
+
+ class BaseConfig:
+ pass
+
+ class BaseModel:
+ pass
+
+ class Color:
+ pass
+
+ class CoreSchema:
+ pass
+
+ class ErrorWrapper:
+ pass
+
+ class FieldInfo:
+ pass
+
+ class GetJsonSchemaHandler:
+ pass
+
+ class JsonSchemaValue:
+ pass
+
+ class ModelField:
+ pass
+
+ class NameEmail:
+ pass
+
+ class RequiredParam:
+ pass
+
+ class SecretBytes:
+ pass
+
+ class SecretStr:
+ pass
+
+ class Undefined:
+ pass
+
+ class UndefinedType:
+ pass
+
+ class Url:
+ pass
+
+ from .v2 import ValidationError, create_model
+
+ def get_definitions(
+ *,
+ fields: List[ModelField],
+ model_name_map: ModelNameMap,
+ separate_input_output_schemas: bool = True,
+ ) -> Tuple[
+ Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
+ ],
+ Dict[str, Dict[str, Any]],
+ ]:
+ return {}, {} # pragma: no cover
+
+
+else:
+ from .v1 import AnyUrl as AnyUrl
+ from .v1 import BaseConfig as BaseConfig
+ from .v1 import BaseModel as BaseModel
+ from .v1 import Color as Color
+ from .v1 import CoreSchema as CoreSchema
+ from .v1 import ErrorWrapper as ErrorWrapper
+ from .v1 import FieldInfo as FieldInfo
+ from .v1 import GetJsonSchemaHandler as GetJsonSchemaHandler
+ from .v1 import JsonSchemaValue as JsonSchemaValue
+ from .v1 import ModelField as ModelField
+ from .v1 import NameEmail as NameEmail
+ from .v1 import RequiredParam as RequiredParam
+ from .v1 import SecretBytes as SecretBytes
+ from .v1 import SecretStr as SecretStr
+ from .v1 import Undefined as Undefined
+ from .v1 import UndefinedType as UndefinedType
+ from .v1 import Url as Url
+ from .v1 import ValidationError, create_model
+ from .v1 import get_definitions as get_definitions
+
+
+RequestErrorModel: Type[BaseModel] = create_model("Request")
+
+
+def _normalize_errors(errors: Sequence[Any]) -> List[Dict[str, Any]]:
+ use_errors: List[Any] = []
+ for error in errors:
+ if isinstance(error, ErrorWrapper):
+ new_errors = ValidationError( # type: ignore[call-arg]
+ errors=[error], model=RequestErrorModel
+ ).errors()
+ use_errors.extend(new_errors)
+ elif isinstance(error, list):
+ use_errors.extend(_normalize_errors(error))
+ else:
+ use_errors.append(error)
+ return use_errors
+
+
+def _regenerate_error_with_loc(
+ *, errors: Sequence[Any], loc_prefix: Tuple[Union[str, int], ...]
+) -> List[Dict[str, Any]]:
+ updated_loc_errors: List[Any] = [
+ {**err, "loc": loc_prefix + err.get("loc", ())}
+ for err in _normalize_errors(errors)
+ ]
+
+ return updated_loc_errors
diff --git a/fastapi/_compat/model_field.py b/fastapi/_compat/model_field.py
new file mode 100644
index 000000000..fa2008c5e
--- /dev/null
+++ b/fastapi/_compat/model_field.py
@@ -0,0 +1,53 @@
+from typing import (
+ Any,
+ Dict,
+ List,
+ Tuple,
+ Union,
+)
+
+from fastapi.types import IncEx
+from pydantic.fields import FieldInfo
+from typing_extensions import Literal, Protocol
+
+
+class ModelField(Protocol):
+ field_info: "FieldInfo"
+ name: str
+ mode: Literal["validation", "serialization"] = "validation"
+ _version: Literal["v1", "v2"] = "v1"
+
+ @property
+ def alias(self) -> str: ...
+
+ @property
+ def required(self) -> bool: ...
+
+ @property
+ def default(self) -> Any: ...
+
+ @property
+ def type_(self) -> Any: ...
+
+ def get_default(self) -> Any: ...
+
+ def validate(
+ self,
+ value: Any,
+ values: Dict[str, Any] = {}, # noqa: B006
+ *,
+ loc: Tuple[Union[int, str], ...] = (),
+ ) -> Tuple[Any, Union[List[Dict[str, Any]], None]]: ...
+
+ def serialize(
+ self,
+ value: Any,
+ *,
+ mode: Literal["json", "python"] = "json",
+ include: Union[IncEx, None] = None,
+ exclude: Union[IncEx, None] = None,
+ by_alias: bool = True,
+ exclude_unset: bool = False,
+ exclude_defaults: bool = False,
+ exclude_none: bool = False,
+ ) -> Any: ...
diff --git a/fastapi/_compat/shared.py b/fastapi/_compat/shared.py
new file mode 100644
index 000000000..cabf48228
--- /dev/null
+++ b/fastapi/_compat/shared.py
@@ -0,0 +1,211 @@
+import sys
+import types
+import typing
+from collections import deque
+from dataclasses import is_dataclass
+from typing import (
+ Any,
+ Deque,
+ FrozenSet,
+ List,
+ Mapping,
+ Sequence,
+ Set,
+ Tuple,
+ Type,
+ Union,
+)
+
+from fastapi._compat import may_v1
+from fastapi.types import UnionType
+from pydantic import BaseModel
+from pydantic.version import VERSION as PYDANTIC_VERSION
+from starlette.datastructures import UploadFile
+from typing_extensions import Annotated, get_args, get_origin
+
+# Copy from Pydantic v2, compatible with v1
+if sys.version_info < (3, 9):
+ # Pydantic no longer supports Python 3.8, this might be incorrect, but the code
+ # this is used for is also never reached in this codebase, as it's a copy of
+ # Pydantic's lenient_issubclass, just for compatibility with v1
+ # TODO: remove when dropping support for Python 3.8
+ WithArgsTypes: Tuple[Any, ...] = ()
+elif sys.version_info < (3, 10):
+ WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias) # type: ignore[attr-defined]
+else:
+ WithArgsTypes: tuple[Any, ...] = (
+ typing._GenericAlias, # type: ignore[attr-defined]
+ types.GenericAlias,
+ types.UnionType,
+ ) # pyright: ignore[reportAttributeAccessIssue]
+
+PYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(".")[:2])
+PYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2
+
+
+sequence_annotation_to_type = {
+ Sequence: list,
+ List: list,
+ list: list,
+ Tuple: tuple,
+ tuple: tuple,
+ Set: set,
+ set: set,
+ FrozenSet: frozenset,
+ frozenset: frozenset,
+ Deque: deque,
+ deque: deque,
+}
+
+sequence_types = tuple(sequence_annotation_to_type.keys())
+
+Url: Type[Any]
+
+
+# Copy of Pydantic v2, compatible with v1
+def lenient_issubclass(
+ cls: Any, class_or_tuple: Union[Type[Any], Tuple[Type[Any], ...], None]
+) -> bool:
+ try:
+ return isinstance(cls, type) and issubclass(cls, class_or_tuple) # type: ignore[arg-type]
+ except TypeError: # pragma: no cover
+ if isinstance(cls, WithArgsTypes):
+ return False
+ raise # pragma: no cover
+
+
+def _annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:
+ if lenient_issubclass(annotation, (str, bytes)):
+ return False
+ return lenient_issubclass(annotation, sequence_types) # type: ignore[arg-type]
+
+
+def field_annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ for arg in get_args(annotation):
+ if field_annotation_is_sequence(arg):
+ return True
+ return False
+ return _annotation_is_sequence(annotation) or _annotation_is_sequence(
+ get_origin(annotation)
+ )
+
+
+def value_is_sequence(value: Any) -> bool:
+ return isinstance(value, sequence_types) and not isinstance(value, (str, bytes)) # type: ignore[arg-type]
+
+
+def _annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:
+ return (
+ lenient_issubclass(
+ annotation, (BaseModel, may_v1.BaseModel, Mapping, UploadFile)
+ )
+ or _annotation_is_sequence(annotation)
+ or is_dataclass(annotation)
+ )
+
+
+def field_annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ return any(field_annotation_is_complex(arg) for arg in get_args(annotation))
+
+ if origin is Annotated:
+ return field_annotation_is_complex(get_args(annotation)[0])
+
+ return (
+ _annotation_is_complex(annotation)
+ or _annotation_is_complex(origin)
+ or hasattr(origin, "__pydantic_core_schema__")
+ or hasattr(origin, "__get_pydantic_core_schema__")
+ )
+
+
+def field_annotation_is_scalar(annotation: Any) -> bool:
+ # handle Ellipsis here to make tuple[int, ...] work nicely
+ return annotation is Ellipsis or not field_annotation_is_complex(annotation)
+
+
+def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ at_least_one_scalar_sequence = False
+ for arg in get_args(annotation):
+ if field_annotation_is_scalar_sequence(arg):
+ at_least_one_scalar_sequence = True
+ continue
+ elif not field_annotation_is_scalar(arg):
+ return False
+ return at_least_one_scalar_sequence
+ return field_annotation_is_sequence(annotation) and all(
+ field_annotation_is_scalar(sub_annotation)
+ for sub_annotation in get_args(annotation)
+ )
+
+
+def is_bytes_or_nonable_bytes_annotation(annotation: Any) -> bool:
+ if lenient_issubclass(annotation, bytes):
+ return True
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ for arg in get_args(annotation):
+ if lenient_issubclass(arg, bytes):
+ return True
+ return False
+
+
+def is_uploadfile_or_nonable_uploadfile_annotation(annotation: Any) -> bool:
+ if lenient_issubclass(annotation, UploadFile):
+ return True
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ for arg in get_args(annotation):
+ if lenient_issubclass(arg, UploadFile):
+ return True
+ return False
+
+
+def is_bytes_sequence_annotation(annotation: Any) -> bool:
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ at_least_one = False
+ for arg in get_args(annotation):
+ if is_bytes_sequence_annotation(arg):
+ at_least_one = True
+ continue
+ return at_least_one
+ return field_annotation_is_sequence(annotation) and all(
+ is_bytes_or_nonable_bytes_annotation(sub_annotation)
+ for sub_annotation in get_args(annotation)
+ )
+
+
+def is_uploadfile_sequence_annotation(annotation: Any) -> bool:
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ at_least_one = False
+ for arg in get_args(annotation):
+ if is_uploadfile_sequence_annotation(arg):
+ at_least_one = True
+ continue
+ return at_least_one
+ return field_annotation_is_sequence(annotation) and all(
+ is_uploadfile_or_nonable_uploadfile_annotation(sub_annotation)
+ for sub_annotation in get_args(annotation)
+ )
+
+
+def annotation_is_pydantic_v1(annotation: Any) -> bool:
+ if lenient_issubclass(annotation, may_v1.BaseModel):
+ return True
+ origin = get_origin(annotation)
+ if origin is Union or origin is UnionType:
+ for arg in get_args(annotation):
+ if lenient_issubclass(arg, may_v1.BaseModel):
+ return True
+ if field_annotation_is_sequence(annotation):
+ for sub_annotation in get_args(annotation):
+ if annotation_is_pydantic_v1(sub_annotation):
+ return True
+ return False
diff --git a/fastapi/_compat/v1.py b/fastapi/_compat/v1.py
new file mode 100644
index 000000000..e17ce8bea
--- /dev/null
+++ b/fastapi/_compat/v1.py
@@ -0,0 +1,312 @@
+from copy import copy
+from dataclasses import dataclass, is_dataclass
+from enum import Enum
+from typing import (
+ Any,
+ Callable,
+ Dict,
+ List,
+ Sequence,
+ Set,
+ Tuple,
+ Type,
+ Union,
+)
+
+from fastapi._compat import shared
+from fastapi.openapi.constants import REF_PREFIX as REF_PREFIX
+from fastapi.types import ModelNameMap
+from pydantic.version import VERSION as PYDANTIC_VERSION
+from typing_extensions import Literal
+
+PYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(".")[:2])
+PYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2
+# Keeping old "Required" functionality from Pydantic V1, without
+# shadowing typing.Required.
+RequiredParam: Any = Ellipsis
+
+if not PYDANTIC_V2:
+ from pydantic import BaseConfig as BaseConfig
+ from pydantic import BaseModel as BaseModel
+ from pydantic import ValidationError as ValidationError
+ from pydantic import create_model as create_model
+ from pydantic.class_validators import Validator as Validator
+ from pydantic.color import Color as Color
+ from pydantic.error_wrappers import ErrorWrapper as ErrorWrapper
+ from pydantic.errors import MissingError
+ from pydantic.fields import ( # type: ignore[attr-defined]
+ SHAPE_FROZENSET,
+ SHAPE_LIST,
+ SHAPE_SEQUENCE,
+ SHAPE_SET,
+ SHAPE_SINGLETON,
+ SHAPE_TUPLE,
+ SHAPE_TUPLE_ELLIPSIS,
+ )
+ from pydantic.fields import FieldInfo as FieldInfo
+ from pydantic.fields import ModelField as ModelField # type: ignore[attr-defined]
+ from pydantic.fields import Undefined as Undefined # type: ignore[attr-defined]
+ from pydantic.fields import ( # type: ignore[attr-defined]
+ UndefinedType as UndefinedType,
+ )
+ from pydantic.networks import AnyUrl as AnyUrl
+ from pydantic.networks import NameEmail as NameEmail
+ from pydantic.schema import TypeModelSet as TypeModelSet
+ from pydantic.schema import (
+ field_schema,
+ model_process_schema,
+ )
+ from pydantic.schema import (
+ get_annotation_from_field_info as get_annotation_from_field_info,
+ )
+ from pydantic.schema import get_flat_models_from_field as get_flat_models_from_field
+ from pydantic.schema import (
+ get_flat_models_from_fields as get_flat_models_from_fields,
+ )
+ from pydantic.schema import get_model_name_map as get_model_name_map
+ from pydantic.types import SecretBytes as SecretBytes
+ from pydantic.types import SecretStr as SecretStr
+ from pydantic.typing import evaluate_forwardref as evaluate_forwardref
+ from pydantic.utils import lenient_issubclass as lenient_issubclass
+
+
+else:
+ from pydantic.v1 import BaseConfig as BaseConfig # type: ignore[assignment]
+ from pydantic.v1 import BaseModel as BaseModel # type: ignore[assignment]
+ from pydantic.v1 import ( # type: ignore[assignment]
+ ValidationError as ValidationError,
+ )
+ from pydantic.v1 import create_model as create_model # type: ignore[no-redef]
+ from pydantic.v1.class_validators import Validator as Validator
+ from pydantic.v1.color import Color as Color # type: ignore[assignment]
+ from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper
+ from pydantic.v1.errors import MissingError
+ from pydantic.v1.fields import (
+ SHAPE_FROZENSET,
+ SHAPE_LIST,
+ SHAPE_SEQUENCE,
+ SHAPE_SET,
+ SHAPE_SINGLETON,
+ SHAPE_TUPLE,
+ SHAPE_TUPLE_ELLIPSIS,
+ )
+ from pydantic.v1.fields import FieldInfo as FieldInfo # type: ignore[assignment]
+ from pydantic.v1.fields import ModelField as ModelField
+ from pydantic.v1.fields import Undefined as Undefined
+ from pydantic.v1.fields import UndefinedType as UndefinedType
+ from pydantic.v1.networks import AnyUrl as AnyUrl
+ from pydantic.v1.networks import ( # type: ignore[assignment]
+ NameEmail as NameEmail,
+ )
+ from pydantic.v1.schema import TypeModelSet as TypeModelSet
+ from pydantic.v1.schema import (
+ field_schema,
+ model_process_schema,
+ )
+ from pydantic.v1.schema import (
+ get_annotation_from_field_info as get_annotation_from_field_info,
+ )
+ from pydantic.v1.schema import (
+ get_flat_models_from_field as get_flat_models_from_field,
+ )
+ from pydantic.v1.schema import (
+ get_flat_models_from_fields as get_flat_models_from_fields,
+ )
+ from pydantic.v1.schema import get_model_name_map as get_model_name_map
+ from pydantic.v1.types import ( # type: ignore[assignment]
+ SecretBytes as SecretBytes,
+ )
+ from pydantic.v1.types import ( # type: ignore[assignment]
+ SecretStr as SecretStr,
+ )
+ from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref
+ from pydantic.v1.utils import lenient_issubclass as lenient_issubclass
+
+
+GetJsonSchemaHandler = Any
+JsonSchemaValue = Dict[str, Any]
+CoreSchema = Any
+Url = AnyUrl
+
+sequence_shapes = {
+ SHAPE_LIST,
+ SHAPE_SET,
+ SHAPE_FROZENSET,
+ SHAPE_TUPLE,
+ SHAPE_SEQUENCE,
+ SHAPE_TUPLE_ELLIPSIS,
+}
+sequence_shape_to_type = {
+ SHAPE_LIST: list,
+ SHAPE_SET: set,
+ SHAPE_TUPLE: tuple,
+ SHAPE_SEQUENCE: list,
+ SHAPE_TUPLE_ELLIPSIS: list,
+}
+
+
+@dataclass
+class GenerateJsonSchema:
+ ref_template: str
+
+
+class PydanticSchemaGenerationError(Exception):
+ pass
+
+
+RequestErrorModel: Type[BaseModel] = create_model("Request")
+
+
+def with_info_plain_validator_function(
+ function: Callable[..., Any],
+ *,
+ ref: Union[str, None] = None,
+ metadata: Any = None,
+ serialization: Any = None,
+) -> Any:
+ return {}
+
+
+def get_model_definitions(
+ *,
+ flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
+ model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
+) -> Dict[str, Any]:
+ definitions: Dict[str, Dict[str, Any]] = {}
+ for model in flat_models:
+ m_schema, m_definitions, m_nested_models = model_process_schema(
+ model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
+ )
+ definitions.update(m_definitions)
+ model_name = model_name_map[model]
+ definitions[model_name] = m_schema
+ for m_schema in definitions.values():
+ if "description" in m_schema:
+ m_schema["description"] = m_schema["description"].split("\f")[0]
+ return definitions
+
+
+def is_pv1_scalar_field(field: ModelField) -> bool:
+ from fastapi import params
+
+ field_info = field.field_info
+ if not (
+ field.shape == SHAPE_SINGLETON
+ and not lenient_issubclass(field.type_, BaseModel)
+ and not lenient_issubclass(field.type_, dict)
+ and not shared.field_annotation_is_sequence(field.type_)
+ and not is_dataclass(field.type_)
+ and not isinstance(field_info, params.Body)
+ ):
+ return False
+ if field.sub_fields:
+ if not all(is_pv1_scalar_field(f) for f in field.sub_fields):
+ return False
+ return True
+
+
+def is_pv1_scalar_sequence_field(field: ModelField) -> bool:
+ if (field.shape in sequence_shapes) and not lenient_issubclass(
+ field.type_, BaseModel
+ ):
+ if field.sub_fields is not None:
+ for sub_field in field.sub_fields:
+ if not is_pv1_scalar_field(sub_field):
+ return False
+ return True
+ if shared._annotation_is_sequence(field.type_):
+ return True
+ return False
+
+
+def _model_rebuild(model: Type[BaseModel]) -> None:
+ model.update_forward_refs()
+
+
+def _model_dump(
+ model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
+) -> Any:
+ return model.dict(**kwargs)
+
+
+def _get_model_config(model: BaseModel) -> Any:
+ return model.__config__ # type: ignore[attr-defined]
+
+
+def get_schema_from_model_field(
+ *,
+ field: ModelField,
+ model_name_map: ModelNameMap,
+ field_mapping: Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
+ ],
+ separate_input_output_schemas: bool = True,
+) -> Dict[str, Any]:
+ return field_schema( # type: ignore[no-any-return]
+ field, model_name_map=model_name_map, ref_prefix=REF_PREFIX
+ )[0]
+
+
+# def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:
+# models = get_flat_models_from_fields(fields, known_models=set())
+# return get_model_name_map(models) # type: ignore[no-any-return]
+
+
+def get_definitions(
+ *,
+ fields: List[ModelField],
+ model_name_map: ModelNameMap,
+ separate_input_output_schemas: bool = True,
+) -> Tuple[
+ Dict[Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue],
+ Dict[str, Dict[str, Any]],
+]:
+ models = get_flat_models_from_fields(fields, known_models=set())
+ return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map)
+
+
+def is_scalar_field(field: ModelField) -> bool:
+ return is_pv1_scalar_field(field)
+
+
+def is_sequence_field(field: ModelField) -> bool:
+ return field.shape in sequence_shapes or shared._annotation_is_sequence(field.type_)
+
+
+def is_scalar_sequence_field(field: ModelField) -> bool:
+ return is_pv1_scalar_sequence_field(field)
+
+
+def is_bytes_field(field: ModelField) -> bool:
+ return lenient_issubclass(field.type_, bytes) # type: ignore[no-any-return]
+
+
+def is_bytes_sequence_field(field: ModelField) -> bool:
+ return field.shape in sequence_shapes and lenient_issubclass(field.type_, bytes)
+
+
+def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
+ return copy(field_info)
+
+
+def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
+ return sequence_shape_to_type[field.shape](value) # type: ignore[no-any-return]
+
+
+def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:
+ missing_field_error = ErrorWrapper(MissingError(), loc=loc)
+ new_error = ValidationError([missing_field_error], RequestErrorModel)
+ return new_error.errors()[0] # type: ignore[return-value]
+
+
+def create_body_model(
+ *, fields: Sequence[ModelField], model_name: str
+) -> Type[BaseModel]:
+ BodyModel = create_model(model_name)
+ for f in fields:
+ BodyModel.__fields__[f.name] = f # type: ignore[index]
+ return BodyModel
+
+
+def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:
+ return list(model.__fields__.values()) # type: ignore[attr-defined]
diff --git a/fastapi/_compat/v2.py b/fastapi/_compat/v2.py
new file mode 100644
index 000000000..fb2c691d8
--- /dev/null
+++ b/fastapi/_compat/v2.py
@@ -0,0 +1,459 @@
+import re
+import warnings
+from copy import copy, deepcopy
+from dataclasses import dataclass
+from enum import Enum
+from typing import (
+ Any,
+ Dict,
+ List,
+ Sequence,
+ Set,
+ Tuple,
+ Type,
+ Union,
+ cast,
+)
+
+from fastapi._compat import may_v1, shared
+from fastapi.openapi.constants import REF_TEMPLATE
+from fastapi.types import IncEx, ModelNameMap
+from pydantic import BaseModel, TypeAdapter, create_model
+from pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError
+from pydantic import PydanticUndefinedAnnotation as PydanticUndefinedAnnotation
+from pydantic import ValidationError as ValidationError
+from pydantic._internal._schema_generation_shared import ( # type: ignore[attr-defined]
+ GetJsonSchemaHandler as GetJsonSchemaHandler,
+)
+from pydantic._internal._typing_extra import eval_type_lenient
+from pydantic._internal._utils import lenient_issubclass as lenient_issubclass
+from pydantic.fields import FieldInfo as FieldInfo
+from pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema
+from pydantic.json_schema import JsonSchemaValue as JsonSchemaValue
+from pydantic_core import CoreSchema as CoreSchema
+from pydantic_core import PydanticUndefined, PydanticUndefinedType
+from pydantic_core import Url as Url
+from typing_extensions import Annotated, Literal, get_args, get_origin
+
+try:
+ from pydantic_core.core_schema import (
+ with_info_plain_validator_function as with_info_plain_validator_function,
+ )
+except ImportError: # pragma: no cover
+ from pydantic_core.core_schema import (
+ general_plain_validator_function as with_info_plain_validator_function, # noqa: F401
+ )
+
+RequiredParam = PydanticUndefined
+Undefined = PydanticUndefined
+UndefinedType = PydanticUndefinedType
+evaluate_forwardref = eval_type_lenient
+Validator = Any
+
+
+class BaseConfig:
+ pass
+
+
+class ErrorWrapper(Exception):
+ pass
+
+
+@dataclass
+class ModelField:
+ field_info: FieldInfo
+ name: str
+ mode: Literal["validation", "serialization"] = "validation"
+
+ @property
+ def alias(self) -> str:
+ a = self.field_info.alias
+ return a if a is not None else self.name
+
+ @property
+ def required(self) -> bool:
+ return self.field_info.is_required()
+
+ @property
+ def default(self) -> Any:
+ return self.get_default()
+
+ @property
+ def type_(self) -> Any:
+ return self.field_info.annotation
+
+ def __post_init__(self) -> None:
+ with warnings.catch_warnings():
+ # Pydantic >= 2.12.0 warns about field specific metadata that is unused
+ # (e.g. `TypeAdapter(Annotated[int, Field(alias='b')])`). In some cases, we
+ # end up building the type adapter from a model field annotation so we
+ # need to ignore the warning:
+ if shared.PYDANTIC_VERSION_MINOR_TUPLE >= (2, 12):
+ from pydantic.warnings import UnsupportedFieldAttributeWarning
+
+ warnings.simplefilter(
+ "ignore", category=UnsupportedFieldAttributeWarning
+ )
+ self._type_adapter: TypeAdapter[Any] = TypeAdapter(
+ Annotated[self.field_info.annotation, self.field_info]
+ )
+
+ def get_default(self) -> Any:
+ if self.field_info.is_required():
+ return Undefined
+ return self.field_info.get_default(call_default_factory=True)
+
+ def validate(
+ self,
+ value: Any,
+ values: Dict[str, Any] = {}, # noqa: B006
+ *,
+ loc: Tuple[Union[int, str], ...] = (),
+ ) -> Tuple[Any, Union[List[Dict[str, Any]], None]]:
+ try:
+ return (
+ self._type_adapter.validate_python(value, from_attributes=True),
+ None,
+ )
+ except ValidationError as exc:
+ return None, may_v1._regenerate_error_with_loc(
+ errors=exc.errors(include_url=False), loc_prefix=loc
+ )
+
+ def serialize(
+ self,
+ value: Any,
+ *,
+ mode: Literal["json", "python"] = "json",
+ include: Union[IncEx, None] = None,
+ exclude: Union[IncEx, None] = None,
+ by_alias: bool = True,
+ exclude_unset: bool = False,
+ exclude_defaults: bool = False,
+ exclude_none: bool = False,
+ ) -> Any:
+ # What calls this code passes a value that already called
+ # self._type_adapter.validate_python(value)
+ return self._type_adapter.dump_python(
+ value,
+ mode=mode,
+ include=include,
+ exclude=exclude,
+ by_alias=by_alias,
+ exclude_unset=exclude_unset,
+ exclude_defaults=exclude_defaults,
+ exclude_none=exclude_none,
+ )
+
+ def __hash__(self) -> int:
+ # Each ModelField is unique for our purposes, to allow making a dict from
+ # ModelField to its JSON Schema.
+ return id(self)
+
+
+def get_annotation_from_field_info(
+ annotation: Any, field_info: FieldInfo, field_name: str
+) -> Any:
+ return annotation
+
+
+def _model_rebuild(model: Type[BaseModel]) -> None:
+ model.model_rebuild()
+
+
+def _model_dump(
+ model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
+) -> Any:
+ return model.model_dump(mode=mode, **kwargs)
+
+
+def _get_model_config(model: BaseModel) -> Any:
+ return model.model_config
+
+
+def get_schema_from_model_field(
+ *,
+ field: ModelField,
+ model_name_map: ModelNameMap,
+ field_mapping: Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
+ ],
+ separate_input_output_schemas: bool = True,
+) -> Dict[str, Any]:
+ override_mode: Union[Literal["validation"], None] = (
+ None if separate_input_output_schemas else "validation"
+ )
+ # This expects that GenerateJsonSchema was already used to generate the definitions
+ json_schema = field_mapping[(field, override_mode or field.mode)]
+ if "$ref" not in json_schema:
+ # TODO remove when deprecating Pydantic v1
+ # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207
+ json_schema["title"] = field.field_info.title or field.alias.title().replace(
+ "_", " "
+ )
+ return json_schema
+
+
+def get_definitions(
+ *,
+ fields: Sequence[ModelField],
+ model_name_map: ModelNameMap,
+ separate_input_output_schemas: bool = True,
+) -> Tuple[
+ Dict[Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue],
+ Dict[str, Dict[str, Any]],
+]:
+ schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)
+ override_mode: Union[Literal["validation"], None] = (
+ None if separate_input_output_schemas else "validation"
+ )
+ flat_models = get_flat_models_from_fields(fields, known_models=set())
+ flat_model_fields = [
+ ModelField(field_info=FieldInfo(annotation=model), name=model.__name__)
+ for model in flat_models
+ ]
+ input_types = {f.type_ for f in fields}
+ unique_flat_model_fields = {
+ f for f in flat_model_fields if f.type_ not in input_types
+ }
+
+ inputs = [
+ (field, override_mode or field.mode, field._type_adapter.core_schema)
+ for field in list(fields) + list(unique_flat_model_fields)
+ ]
+ field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)
+ for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():
+ if "description" in item_def:
+ item_description = cast(str, item_def["description"]).split("\f")[0]
+ item_def["description"] = item_description
+ new_mapping, new_definitions = _remap_definitions_and_field_mappings(
+ model_name_map=model_name_map,
+ definitions=definitions, # type: ignore[arg-type]
+ field_mapping=field_mapping,
+ )
+ return new_mapping, new_definitions
+
+
+def _replace_refs(
+ *,
+ schema: Dict[str, Any],
+ old_name_to_new_name_map: Dict[str, str],
+) -> Dict[str, Any]:
+ new_schema = deepcopy(schema)
+ for key, value in new_schema.items():
+ if key == "$ref":
+ ref_name = schema["$ref"].split("/")[-1]
+ if ref_name in old_name_to_new_name_map:
+ new_name = old_name_to_new_name_map[ref_name]
+ new_schema["$ref"] = REF_TEMPLATE.format(model=new_name)
+ else:
+ new_schema["$ref"] = schema["$ref"]
+ continue
+ if isinstance(value, dict):
+ new_schema[key] = _replace_refs(
+ schema=value,
+ old_name_to_new_name_map=old_name_to_new_name_map,
+ )
+ elif isinstance(value, list):
+ new_value = []
+ for item in value:
+ if isinstance(item, dict):
+ new_item = _replace_refs(
+ schema=item,
+ old_name_to_new_name_map=old_name_to_new_name_map,
+ )
+ new_value.append(new_item)
+
+ else:
+ new_value.append(item)
+ new_schema[key] = new_value
+ return new_schema
+
+
+def _remap_definitions_and_field_mappings(
+ *,
+ model_name_map: ModelNameMap,
+ definitions: Dict[str, Any],
+ field_mapping: Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
+ ],
+) -> Tuple[
+ Dict[Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue],
+ Dict[str, Any],
+]:
+ old_name_to_new_name_map = {}
+ for field_key, schema in field_mapping.items():
+ model = field_key[0].type_
+ if model not in model_name_map:
+ continue
+ new_name = model_name_map[model]
+ old_name = schema["$ref"].split("/")[-1]
+ if old_name in {f"{new_name}-Input", f"{new_name}-Output"}:
+ continue
+ old_name_to_new_name_map[old_name] = new_name
+
+ new_field_mapping: Dict[
+ Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
+ ] = {}
+ for field_key, schema in field_mapping.items():
+ new_schema = _replace_refs(
+ schema=schema,
+ old_name_to_new_name_map=old_name_to_new_name_map,
+ )
+ new_field_mapping[field_key] = new_schema
+
+ new_definitions = {}
+ for key, value in definitions.items():
+ if key in old_name_to_new_name_map:
+ new_key = old_name_to_new_name_map[key]
+ else:
+ new_key = key
+ new_value = _replace_refs(
+ schema=value,
+ old_name_to_new_name_map=old_name_to_new_name_map,
+ )
+ new_definitions[new_key] = new_value
+ return new_field_mapping, new_definitions
+
+
+def is_scalar_field(field: ModelField) -> bool:
+ from fastapi import params
+
+ return shared.field_annotation_is_scalar(
+ field.field_info.annotation
+ ) and not isinstance(field.field_info, params.Body)
+
+
+def is_sequence_field(field: ModelField) -> bool:
+ return shared.field_annotation_is_sequence(field.field_info.annotation)
+
+
+def is_scalar_sequence_field(field: ModelField) -> bool:
+ return shared.field_annotation_is_scalar_sequence(field.field_info.annotation)
+
+
+def is_bytes_field(field: ModelField) -> bool:
+ return shared.is_bytes_or_nonable_bytes_annotation(field.type_)
+
+
+def is_bytes_sequence_field(field: ModelField) -> bool:
+ return shared.is_bytes_sequence_annotation(field.type_)
+
+
+def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
+ cls = type(field_info)
+ merged_field_info = cls.from_annotation(annotation)
+ new_field_info = copy(field_info)
+ new_field_info.metadata = merged_field_info.metadata
+ new_field_info.annotation = merged_field_info.annotation
+ return new_field_info
+
+
+def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
+ origin_type = get_origin(field.field_info.annotation) or field.field_info.annotation
+ assert issubclass(origin_type, shared.sequence_types) # type: ignore[arg-type]
+ return shared.sequence_annotation_to_type[origin_type](value) # type: ignore[no-any-return]
+
+
+def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:
+ error = ValidationError.from_exception_data(
+ "Field required", [{"type": "missing", "loc": loc, "input": {}}]
+ ).errors(include_url=False)[0]
+ error["input"] = None
+ return error # type: ignore[return-value]
+
+
+def create_body_model(
+ *, fields: Sequence[ModelField], model_name: str
+) -> Type[BaseModel]:
+ field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}
+ BodyModel: Type[BaseModel] = create_model(model_name, **field_params) # type: ignore[call-overload]
+ return BodyModel
+
+
+def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:
+ return [
+ ModelField(field_info=field_info, name=name)
+ for name, field_info in model.model_fields.items()
+ ]
+
+
+# Duplicate of several schema functions from Pydantic v1 to make them compatible with
+# Pydantic v2 and allow mixing the models
+
+TypeModelOrEnum = Union[Type["BaseModel"], Type[Enum]]
+TypeModelSet = Set[TypeModelOrEnum]
+
+
+def normalize_name(name: str) -> str:
+ return re.sub(r"[^a-zA-Z0-9.\-_]", "_", name)
+
+
+def get_model_name_map(unique_models: TypeModelSet) -> Dict[TypeModelOrEnum, str]:
+ name_model_map = {}
+ conflicting_names: Set[str] = set()
+ for model in unique_models:
+ model_name = normalize_name(model.__name__)
+ if model_name in conflicting_names:
+ model_name = get_long_model_name(model)
+ name_model_map[model_name] = model
+ elif model_name in name_model_map:
+ conflicting_names.add(model_name)
+ conflicting_model = name_model_map.pop(model_name)
+ name_model_map[get_long_model_name(conflicting_model)] = conflicting_model
+ name_model_map[get_long_model_name(model)] = model
+ else:
+ name_model_map[model_name] = model
+ return {v: k for k, v in name_model_map.items()}
+
+
+def get_flat_models_from_model(
+ model: Type["BaseModel"], known_models: Union[TypeModelSet, None] = None
+) -> TypeModelSet:
+ known_models = known_models or set()
+ fields = get_model_fields(model)
+ get_flat_models_from_fields(fields, known_models=known_models)
+ return known_models
+
+
+def get_flat_models_from_annotation(
+ annotation: Any, known_models: TypeModelSet
+) -> TypeModelSet:
+ origin = get_origin(annotation)
+ if origin is not None:
+ for arg in get_args(annotation):
+ if lenient_issubclass(arg, (BaseModel, Enum)) and arg not in known_models:
+ known_models.add(arg)
+ if lenient_issubclass(arg, BaseModel):
+ get_flat_models_from_model(arg, known_models=known_models)
+ else:
+ get_flat_models_from_annotation(arg, known_models=known_models)
+ return known_models
+
+
+def get_flat_models_from_field(
+ field: ModelField, known_models: TypeModelSet
+) -> TypeModelSet:
+ field_type = field.type_
+ if lenient_issubclass(field_type, BaseModel):
+ if field_type in known_models:
+ return known_models
+ known_models.add(field_type)
+ get_flat_models_from_model(field_type, known_models=known_models)
+ elif lenient_issubclass(field_type, Enum):
+ known_models.add(field_type)
+ else:
+ get_flat_models_from_annotation(field_type, known_models=known_models)
+ return known_models
+
+
+def get_flat_models_from_fields(
+ fields: Sequence[ModelField], known_models: TypeModelSet
+) -> TypeModelSet:
+ for field in fields:
+ get_flat_models_from_field(field, known_models=known_models)
+ return known_models
+
+
+def get_long_model_name(model: TypeModelOrEnum) -> str:
+ return f"{model.__module__}__{model.__qualname__}".replace(".", "__")
diff --git a/fastapi/applications.py b/fastapi/applications.py
index 915f5f70a..6db4b4e83 100644
--- a/fastapi/applications.py
+++ b/fastapi/applications.py
@@ -75,7 +75,7 @@ class FastAPI(Starlette):
errors.
Read more in the
- [Starlette docs for Applications](https://www.starlette.io/applications/#instantiating-the-application).
+ [Starlette docs for Applications](https://www.starlette.dev/applications/#instantiating-the-application).
"""
),
] = False,
@@ -938,7 +938,7 @@ class FastAPI(Starlette):
This is simply inherited from Starlette.
Read more about it in the
- [Starlette docs for Applications](https://www.starlette.io/applications/#storing-state-on-the-app-instance).
+ [Starlette docs for Applications](https://www.starlette.dev/applications/#storing-state-on-the-app-instance).
"""
),
] = State()
diff --git a/fastapi/datastructures.py b/fastapi/datastructures.py
index cf8406b0f..34185b96a 100644
--- a/fastapi/datastructures.py
+++ b/fastapi/datastructures.py
@@ -11,11 +11,9 @@ from typing import (
)
from fastapi._compat import (
- PYDANTIC_V2,
CoreSchema,
GetJsonSchemaHandler,
JsonSchemaValue,
- with_info_plain_validator_function,
)
from starlette.datastructures import URL as URL # noqa: F401
from starlette.datastructures import Address as Address # noqa: F401
@@ -154,11 +152,10 @@ class UploadFile(StarletteUploadFile):
raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
return cast(UploadFile, __input_value)
- if not PYDANTIC_V2:
-
- @classmethod
- def __modify_schema__(cls, field_schema: Dict[str, Any]) -> None:
- field_schema.update({"type": "string", "format": "binary"})
+ # TODO: remove when deprecating Pydantic v1
+ @classmethod
+ def __modify_schema__(cls, field_schema: Dict[str, Any]) -> None:
+ field_schema.update({"type": "string", "format": "binary"})
@classmethod
def __get_pydantic_json_schema__(
@@ -170,6 +167,8 @@ class UploadFile(StarletteUploadFile):
def __get_pydantic_core_schema__(
cls, source: Type[Any], handler: Callable[[Any], CoreSchema]
) -> CoreSchema:
+ from ._compat.v2 import with_info_plain_validator_function
+
return with_info_plain_validator_function(cls._validate)
diff --git a/fastapi/dependencies/utils.py b/fastapi/dependencies/utils.py
index e49380cb3..aa06dd2a9 100644
--- a/fastapi/dependencies/utils.py
+++ b/fastapi/dependencies/utils.py
@@ -23,11 +23,11 @@ import anyio
from fastapi import params
from fastapi._compat import (
PYDANTIC_V2,
- ErrorWrapper,
ModelField,
RequiredParam,
Undefined,
- _regenerate_error_with_loc,
+ _is_error_wrapper,
+ _is_model_class,
copy_field_info,
create_body_model,
evaluate_forwardref,
@@ -43,10 +43,12 @@ from fastapi._compat import (
is_uploadfile_or_nonable_uploadfile_annotation,
is_uploadfile_sequence_annotation,
lenient_issubclass,
+ may_v1,
sequence_types,
serialize_sequence_value,
value_is_sequence,
)
+from fastapi._compat.shared import annotation_is_pydantic_v1
from fastapi.background import BackgroundTasks
from fastapi.concurrency import (
asynccontextmanager,
@@ -74,6 +76,8 @@ from starlette.responses import Response
from starlette.websockets import WebSocket
from typing_extensions import Annotated, get_args, get_origin
+from .. import temp_pydantic_v1_params
+
if sys.version_info >= (3, 13): # pragma: no cover
from inspect import iscoroutinefunction
else: # pragma: no cover
@@ -219,7 +223,7 @@ def _get_flat_fields_from_params(fields: List[ModelField]) -> List[ModelField]:
if not fields:
return fields
first_field = fields[0]
- if len(fields) == 1 and lenient_issubclass(first_field.type_, BaseModel):
+ if len(fields) == 1 and _is_model_class(first_field.type_):
fields_to_extract = get_cached_model_fields(first_field.type_)
return fields_to_extract
return fields
@@ -315,7 +319,9 @@ def get_dependant(
)
continue
assert param_details.field is not None
- if isinstance(param_details.field.field_info, params.Body):
+ if isinstance(
+ param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)
+ ):
dependant.body_params.append(param_details.field)
else:
add_param_to_fields(field=param_details.field, dependant=dependant)
@@ -374,28 +380,38 @@ def analyze_param(
fastapi_annotations = [
arg
for arg in annotated_args[1:]
- if isinstance(arg, (FieldInfo, params.Depends))
+ if isinstance(arg, (FieldInfo, may_v1.FieldInfo, params.Depends))
]
fastapi_specific_annotations = [
arg
for arg in fastapi_annotations
- if isinstance(arg, (params.Param, params.Body, params.Depends))
+ if isinstance(
+ arg,
+ (
+ params.Param,
+ temp_pydantic_v1_params.Param,
+ params.Body,
+ temp_pydantic_v1_params.Body,
+ params.Depends,
+ ),
+ )
]
if fastapi_specific_annotations:
- fastapi_annotation: Union[FieldInfo, params.Depends, None] = (
- fastapi_specific_annotations[-1]
- )
+ fastapi_annotation: Union[
+ FieldInfo, may_v1.FieldInfo, params.Depends, None
+ ] = fastapi_specific_annotations[-1]
else:
fastapi_annotation = None
# Set default for Annotated FieldInfo
- if isinstance(fastapi_annotation, FieldInfo):
+ if isinstance(fastapi_annotation, (FieldInfo, may_v1.FieldInfo)):
# Copy `field_info` because we mutate `field_info.default` below.
field_info = copy_field_info(
field_info=fastapi_annotation, annotation=use_annotation
)
- assert (
- field_info.default is Undefined or field_info.default is RequiredParam
- ), (
+ assert field_info.default in {
+ Undefined,
+ may_v1.Undefined,
+ } or field_info.default in {RequiredParam, may_v1.RequiredParam}, (
f"`{field_info.__class__.__name__}` default value cannot be set in"
f" `Annotated` for {param_name!r}. Set the default value with `=` instead."
)
@@ -419,14 +435,15 @@ def analyze_param(
)
depends = value
# Get FieldInfo from default value
- elif isinstance(value, FieldInfo):
+ elif isinstance(value, (FieldInfo, may_v1.FieldInfo)):
assert field_info is None, (
"Cannot specify FastAPI annotations in `Annotated` and default value"
f" together for {param_name!r}"
)
field_info = value
if PYDANTIC_V2:
- field_info.annotation = type_annotation
+ if isinstance(field_info, FieldInfo):
+ field_info.annotation = type_annotation
# Get Depends from type annotation
if depends is not None and depends.dependency is None:
@@ -463,7 +480,14 @@ def analyze_param(
) or is_uploadfile_sequence_annotation(type_annotation):
field_info = params.File(annotation=use_annotation, default=default_value)
elif not field_annotation_is_scalar(annotation=type_annotation):
- field_info = params.Body(annotation=use_annotation, default=default_value)
+ if annotation_is_pydantic_v1(use_annotation):
+ field_info = temp_pydantic_v1_params.Body(
+ annotation=use_annotation, default=default_value
+ )
+ else:
+ field_info = params.Body(
+ annotation=use_annotation, default=default_value
+ )
else:
field_info = params.Query(annotation=use_annotation, default=default_value)
@@ -472,12 +496,14 @@ def analyze_param(
if field_info is not None:
# Handle field_info.in_
if is_path_param:
- assert isinstance(field_info, params.Path), (
+ assert isinstance(
+ field_info, (params.Path, temp_pydantic_v1_params.Path)
+ ), (
f"Cannot use `{field_info.__class__.__name__}` for path param"
f" {param_name!r}"
)
elif (
- isinstance(field_info, params.Param)
+ isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))
and getattr(field_info, "in_", None) is None
):
field_info.in_ = params.ParamTypes.query
@@ -486,7 +512,7 @@ def analyze_param(
field_info,
param_name,
)
- if isinstance(field_info, params.Form):
+ if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):
ensure_multipart_is_installed()
if not field_info.alias and getattr(field_info, "convert_underscores", None):
alias = param_name.replace("_", "-")
@@ -498,19 +524,20 @@ def analyze_param(
type_=use_annotation_from_field_info,
default=field_info.default,
alias=alias,
- required=field_info.default in (RequiredParam, Undefined),
+ required=field_info.default
+ in (RequiredParam, may_v1.RequiredParam, Undefined),
field_info=field_info,
)
if is_path_param:
assert is_scalar_field(field=field), (
"Path params must be of one of the supported types"
)
- elif isinstance(field_info, params.Query):
+ elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):
assert (
is_scalar_field(field)
or is_scalar_sequence_field(field)
or (
- lenient_issubclass(field.type_, BaseModel)
+ _is_model_class(field.type_)
# For Pydantic v1
and getattr(field, "shape", 1) == 1
)
@@ -712,10 +739,10 @@ def _validate_value_with_model_field(
else:
return deepcopy(field.default), []
v_, errors_ = field.validate(value, values, loc=loc)
- if isinstance(errors_, ErrorWrapper):
+ if _is_error_wrapper(errors_): # type: ignore[arg-type]
return None, [errors_]
elif isinstance(errors_, list):
- new_errors = _regenerate_error_with_loc(errors=errors_, loc_prefix=())
+ new_errors = may_v1._regenerate_error_with_loc(errors=errors_, loc_prefix=())
return None, new_errors
else:
return v_, []
@@ -732,7 +759,7 @@ def _get_multidict_value(
if (
value is None
or (
- isinstance(field.field_info, params.Form)
+ isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))
and isinstance(value, str) # For type checks
and value == ""
)
@@ -798,7 +825,7 @@ def request_params_to_args(
if single_not_embedded_field:
field_info = first_field.field_info
- assert isinstance(field_info, params.Param), (
+ assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (
"Params must be subclasses of Param"
)
loc: Tuple[str, ...] = (field_info.in_.value,)
@@ -810,7 +837,7 @@ def request_params_to_args(
for field in fields:
value = _get_multidict_value(field, received_params)
field_info = field.field_info
- assert isinstance(field_info, params.Param), (
+ assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (
"Params must be subclasses of Param"
)
loc = (field_info.in_.value, field.alias)
@@ -837,7 +864,7 @@ def is_union_of_base_models(field_type: Any) -> bool:
union_args = get_args(field_type)
for arg in union_args:
- if not lenient_issubclass(arg, BaseModel):
+ if not _is_model_class(arg):
return False
return True
@@ -859,8 +886,8 @@ def _should_embed_body_fields(fields: List[ModelField]) -> bool:
# If it's a Form (or File) field, it has to be a BaseModel (or a union of BaseModels) to be top level
# otherwise it has to be embedded, so that the key value pair can be extracted
if (
- isinstance(first_field.field_info, params.Form)
- and not lenient_issubclass(first_field.type_, BaseModel)
+ isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))
+ and not _is_model_class(first_field.type_)
and not is_union_of_base_models(first_field.type_)
):
return True
@@ -877,14 +904,14 @@ async def _extract_form_body(
value = _get_multidict_value(field, received_body)
field_info = field.field_info
if (
- isinstance(field_info, params.File)
+ isinstance(field_info, (params.File, temp_pydantic_v1_params.File))
and is_bytes_field(field)
and isinstance(value, UploadFile)
):
value = await value.read()
elif (
is_bytes_sequence_field(field)
- and isinstance(field_info, params.File)
+ and isinstance(field_info, (params.File, temp_pydantic_v1_params.File))
and value_is_sequence(value)
):
# For types
@@ -925,7 +952,7 @@ async def request_body_to_args(
if (
single_not_embedded_field
- and lenient_issubclass(first_field.type_, BaseModel)
+ and _is_model_class(first_field.type_)
and isinstance(received_body, FormData)
):
fields_to_extract = get_cached_model_fields(first_field.type_)
@@ -990,15 +1017,28 @@ def get_body_field(
BodyFieldInfo_kwargs["default"] = None
if any(isinstance(f.field_info, params.File) for f in flat_dependant.body_params):
BodyFieldInfo: Type[params.Body] = params.File
+ elif any(
+ isinstance(f.field_info, temp_pydantic_v1_params.File)
+ for f in flat_dependant.body_params
+ ):
+ BodyFieldInfo: Type[temp_pydantic_v1_params.Body] = temp_pydantic_v1_params.File # type: ignore[no-redef]
elif any(isinstance(f.field_info, params.Form) for f in flat_dependant.body_params):
BodyFieldInfo = params.Form
+ elif any(
+ isinstance(f.field_info, temp_pydantic_v1_params.Form)
+ for f in flat_dependant.body_params
+ ):
+ BodyFieldInfo = temp_pydantic_v1_params.Form # type: ignore[assignment]
else:
- BodyFieldInfo = params.Body
+ if annotation_is_pydantic_v1(BodyModel):
+ BodyFieldInfo = temp_pydantic_v1_params.Body # type: ignore[assignment]
+ else:
+ BodyFieldInfo = params.Body
body_param_media_types = [
f.field_info.media_type
for f in flat_dependant.body_params
- if isinstance(f.field_info, params.Body)
+ if isinstance(f.field_info, (params.Body, temp_pydantic_v1_params.Body))
]
if len(set(body_param_media_types)) == 1:
BodyFieldInfo_kwargs["media_type"] = body_param_media_types[0]
diff --git a/fastapi/encoders.py b/fastapi/encoders.py
index b037f8bb5..bba9c970e 100644
--- a/fastapi/encoders.py
+++ b/fastapi/encoders.py
@@ -17,6 +17,7 @@ from types import GeneratorType
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from uuid import UUID
+from fastapi._compat import may_v1
from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color
@@ -24,7 +25,7 @@ from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from typing_extensions import Annotated, Doc
-from ._compat import PYDANTIC_V2, UndefinedType, Url, _model_dump
+from ._compat import Url, _is_undefined, _model_dump
# Taken from Pydantic v1 as is
@@ -58,6 +59,7 @@ def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
ENCODERS_BY_TYPE: Dict[Type[Any], Callable[[Any], Any]] = {
bytes: lambda o: o.decode(),
Color: str,
+ may_v1.Color: str,
datetime.date: isoformat,
datetime.datetime: isoformat,
datetime.time: isoformat,
@@ -74,14 +76,19 @@ ENCODERS_BY_TYPE: Dict[Type[Any], Callable[[Any], Any]] = {
IPv6Interface: str,
IPv6Network: str,
NameEmail: str,
+ may_v1.NameEmail: str,
Path: str,
Pattern: lambda o: o.pattern,
SecretBytes: str,
+ may_v1.SecretBytes: str,
SecretStr: str,
+ may_v1.SecretStr: str,
set: list,
UUID: str,
Url: str,
+ may_v1.Url: str,
AnyUrl: str,
+ may_v1.AnyUrl: str,
}
@@ -213,10 +220,10 @@ def jsonable_encoder(
include = set(include)
if exclude is not None and not isinstance(exclude, (set, dict)):
exclude = set(exclude)
- if isinstance(obj, BaseModel):
+ if isinstance(obj, (BaseModel, may_v1.BaseModel)):
# TODO: remove when deprecating Pydantic v1
encoders: Dict[Any, Any] = {}
- if not PYDANTIC_V2:
+ if isinstance(obj, may_v1.BaseModel):
encoders = getattr(obj.__config__, "json_encoders", {}) # type: ignore[attr-defined]
if custom_encoder:
encoders = {**encoders, **custom_encoder}
@@ -260,7 +267,7 @@ def jsonable_encoder(
return str(obj)
if isinstance(obj, (str, int, float, type(None))):
return obj
- if isinstance(obj, UndefinedType):
+ if _is_undefined(obj):
return None
if isinstance(obj, dict):
encoded_dict = {}
diff --git a/fastapi/openapi/utils.py b/fastapi/openapi/utils.py
index 21105cf65..dbc93d289 100644
--- a/fastapi/openapi/utils.py
+++ b/fastapi/openapi/utils.py
@@ -5,7 +5,6 @@ from typing import Any, Dict, List, Optional, Sequence, Set, Tuple, Type, Union,
from fastapi import routing
from fastapi._compat import (
- GenerateJsonSchema,
JsonSchemaValue,
ModelField,
Undefined,
@@ -22,7 +21,7 @@ from fastapi.dependencies.utils import (
get_flat_params,
)
from fastapi.encoders import jsonable_encoder
-from fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX, REF_TEMPLATE
+from fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX
from fastapi.openapi.models import OpenAPI
from fastapi.params import Body, ParamTypes
from fastapi.responses import Response
@@ -37,6 +36,8 @@ from starlette.responses import JSONResponse
from starlette.routing import BaseRoute
from typing_extensions import Literal
+from .._compat import _is_model_field
+
validation_error_definition = {
"title": "ValidationError",
"type": "object",
@@ -94,7 +95,6 @@ def get_openapi_security_definitions(
def _get_openapi_operation_parameters(
*,
dependant: Dependant,
- schema_generator: GenerateJsonSchema,
model_name_map: ModelNameMap,
field_mapping: Dict[
Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
@@ -128,7 +128,6 @@ def _get_openapi_operation_parameters(
continue
param_schema = get_schema_from_model_field(
field=param,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -169,7 +168,6 @@ def _get_openapi_operation_parameters(
def get_openapi_operation_request_body(
*,
body_field: Optional[ModelField],
- schema_generator: GenerateJsonSchema,
model_name_map: ModelNameMap,
field_mapping: Dict[
Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
@@ -178,10 +176,9 @@ def get_openapi_operation_request_body(
) -> Optional[Dict[str, Any]]:
if not body_field:
return None
- assert isinstance(body_field, ModelField)
+ assert _is_model_field(body_field)
body_schema = get_schema_from_model_field(
field=body_field,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -254,7 +251,6 @@ def get_openapi_path(
*,
route: routing.APIRoute,
operation_ids: Set[str],
- schema_generator: GenerateJsonSchema,
model_name_map: ModelNameMap,
field_mapping: Dict[
Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
@@ -287,7 +283,6 @@ def get_openapi_path(
security_schemes.update(security_definitions)
operation_parameters = _get_openapi_operation_parameters(
dependant=route.dependant,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -309,7 +304,6 @@ def get_openapi_path(
if method in METHODS_WITH_BODY:
request_body_oai = get_openapi_operation_request_body(
body_field=route.body_field,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -327,7 +321,6 @@ def get_openapi_path(
) = get_openapi_path(
route=callback,
operation_ids=operation_ids,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -358,7 +351,6 @@ def get_openapi_path(
if route.response_field:
response_schema = get_schema_from_model_field(
field=route.response_field,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -392,7 +384,6 @@ def get_openapi_path(
if field:
additional_field_schema = get_schema_from_model_field(
field=field,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -454,7 +445,7 @@ def get_fields_from_routes(
route, routing.APIRoute
):
if route.body_field:
- assert isinstance(route.body_field, ModelField), (
+ assert _is_model_field(route.body_field), (
"A request body must be a Pydantic Field"
)
body_fields_from_routes.append(route.body_field)
@@ -510,10 +501,8 @@ def get_openapi(
operation_ids: Set[str] = set()
all_fields = get_fields_from_routes(list(routes or []) + list(webhooks or []))
model_name_map = get_compat_model_name_map(all_fields)
- schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)
field_mapping, definitions = get_definitions(
fields=all_fields,
- schema_generator=schema_generator,
model_name_map=model_name_map,
separate_input_output_schemas=separate_input_output_schemas,
)
@@ -522,7 +511,6 @@ def get_openapi(
result = get_openapi_path(
route=route,
operation_ids=operation_ids,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
@@ -542,7 +530,6 @@ def get_openapi(
result = get_openapi_path(
route=webhook,
operation_ids=operation_ids,
- schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
diff --git a/fastapi/routing.py b/fastapi/routing.py
index 65f739d95..fe25d7dec 100644
--- a/fastapi/routing.py
+++ b/fastapi/routing.py
@@ -24,7 +24,7 @@ from typing import (
Union,
)
-from fastapi import params
+from fastapi import params, temp_pydantic_v1_params
from fastapi._compat import (
ModelField,
Undefined,
@@ -307,7 +307,9 @@ def get_request_handler(
) -> Callable[[Request], Coroutine[Any, Any, Response]]:
assert dependant.call is not None, "dependant.call must be a function"
is_coroutine = iscoroutinefunction(dependant.call)
- is_body_form = body_field and isinstance(body_field.field_info, params.Form)
+ is_body_form = body_field and isinstance(
+ body_field.field_info, (params.Form, temp_pydantic_v1_params.Form)
+ )
if isinstance(response_class, DefaultPlaceholder):
actual_response_class: Type[Response] = response_class.value
else:
diff --git a/fastapi/temp_pydantic_v1_params.py b/fastapi/temp_pydantic_v1_params.py
new file mode 100644
index 000000000..e41d71230
--- /dev/null
+++ b/fastapi/temp_pydantic_v1_params.py
@@ -0,0 +1,724 @@
+import warnings
+from typing import Any, Callable, Dict, List, Optional, Union
+
+from fastapi.openapi.models import Example
+from fastapi.params import ParamTypes
+from typing_extensions import Annotated, deprecated
+
+from ._compat.may_v1 import FieldInfo, Undefined
+from ._compat.shared import PYDANTIC_VERSION_MINOR_TUPLE
+
+_Unset: Any = Undefined
+
+
+class Param(FieldInfo): # type: ignore[misc]
+ in_: ParamTypes
+
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ if example is not _Unset:
+ warnings.warn(
+ "`example` has been deprecated, please use `examples` instead",
+ category=DeprecationWarning,
+ stacklevel=4,
+ )
+ self.example = example
+ self.include_in_schema = include_in_schema
+ self.openapi_examples = openapi_examples
+ kwargs = dict(
+ default=default,
+ default_factory=default_factory,
+ alias=alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ discriminator=discriminator,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ **extra,
+ )
+ if examples is not None:
+ kwargs["examples"] = examples
+ if regex is not None:
+ warnings.warn(
+ "`regex` has been deprecated, please use `pattern` instead",
+ category=DeprecationWarning,
+ stacklevel=4,
+ )
+ current_json_schema_extra = json_schema_extra or extra
+ if PYDANTIC_VERSION_MINOR_TUPLE < (2, 7):
+ self.deprecated = deprecated
+ else:
+ kwargs["deprecated"] = deprecated
+ kwargs["regex"] = pattern or regex
+ kwargs.update(**current_json_schema_extra)
+ use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}
+
+ super().__init__(**use_kwargs)
+
+ def __repr__(self) -> str:
+ return f"{self.__class__.__name__}({self.default})"
+
+
+class Path(Param): # type: ignore[misc]
+ in_ = ParamTypes.path
+
+ def __init__(
+ self,
+ default: Any = ...,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ assert default is ..., "Path parameters cannot have a default value"
+ self.in_ = self.in_
+ super().__init__(
+ default=default,
+ default_factory=default_factory,
+ annotation=annotation,
+ alias=alias,
+ alias_priority=alias_priority,
+ validation_alias=validation_alias,
+ serialization_alias=serialization_alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ pattern=pattern,
+ regex=regex,
+ discriminator=discriminator,
+ strict=strict,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ deprecated=deprecated,
+ example=example,
+ examples=examples,
+ openapi_examples=openapi_examples,
+ include_in_schema=include_in_schema,
+ json_schema_extra=json_schema_extra,
+ **extra,
+ )
+
+
+class Query(Param): # type: ignore[misc]
+ in_ = ParamTypes.query
+
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ super().__init__(
+ default=default,
+ default_factory=default_factory,
+ annotation=annotation,
+ alias=alias,
+ alias_priority=alias_priority,
+ validation_alias=validation_alias,
+ serialization_alias=serialization_alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ pattern=pattern,
+ regex=regex,
+ discriminator=discriminator,
+ strict=strict,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ deprecated=deprecated,
+ example=example,
+ examples=examples,
+ openapi_examples=openapi_examples,
+ include_in_schema=include_in_schema,
+ json_schema_extra=json_schema_extra,
+ **extra,
+ )
+
+
+class Header(Param): # type: ignore[misc]
+ in_ = ParamTypes.header
+
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ convert_underscores: bool = True,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ self.convert_underscores = convert_underscores
+ super().__init__(
+ default=default,
+ default_factory=default_factory,
+ annotation=annotation,
+ alias=alias,
+ alias_priority=alias_priority,
+ validation_alias=validation_alias,
+ serialization_alias=serialization_alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ pattern=pattern,
+ regex=regex,
+ discriminator=discriminator,
+ strict=strict,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ deprecated=deprecated,
+ example=example,
+ examples=examples,
+ openapi_examples=openapi_examples,
+ include_in_schema=include_in_schema,
+ json_schema_extra=json_schema_extra,
+ **extra,
+ )
+
+
+class Cookie(Param): # type: ignore[misc]
+ in_ = ParamTypes.cookie
+
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ super().__init__(
+ default=default,
+ default_factory=default_factory,
+ annotation=annotation,
+ alias=alias,
+ alias_priority=alias_priority,
+ validation_alias=validation_alias,
+ serialization_alias=serialization_alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ pattern=pattern,
+ regex=regex,
+ discriminator=discriminator,
+ strict=strict,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ deprecated=deprecated,
+ example=example,
+ examples=examples,
+ openapi_examples=openapi_examples,
+ include_in_schema=include_in_schema,
+ json_schema_extra=json_schema_extra,
+ **extra,
+ )
+
+
+class Body(FieldInfo): # type: ignore[misc]
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ embed: Union[bool, None] = None,
+ media_type: str = "application/json",
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ self.embed = embed
+ self.media_type = media_type
+ if example is not _Unset:
+ warnings.warn(
+ "`example` has been deprecated, please use `examples` instead",
+ category=DeprecationWarning,
+ stacklevel=4,
+ )
+ self.example = example
+ self.include_in_schema = include_in_schema
+ self.openapi_examples = openapi_examples
+ kwargs = dict(
+ default=default,
+ default_factory=default_factory,
+ alias=alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ discriminator=discriminator,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ **extra,
+ )
+ if examples is not None:
+ kwargs["examples"] = examples
+ if regex is not None:
+ warnings.warn(
+ "`regex` has been deprecated, please use `pattern` instead",
+ category=DeprecationWarning,
+ stacklevel=4,
+ )
+ current_json_schema_extra = json_schema_extra or extra
+ if PYDANTIC_VERSION_MINOR_TUPLE < (2, 7):
+ self.deprecated = deprecated
+ else:
+ kwargs["deprecated"] = deprecated
+ kwargs["regex"] = pattern or regex
+ kwargs.update(**current_json_schema_extra)
+
+ use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}
+
+ super().__init__(**use_kwargs)
+
+ def __repr__(self) -> str:
+ return f"{self.__class__.__name__}({self.default})"
+
+
+class Form(Body): # type: ignore[misc]
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ media_type: str = "application/x-www-form-urlencoded",
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ super().__init__(
+ default=default,
+ default_factory=default_factory,
+ annotation=annotation,
+ media_type=media_type,
+ alias=alias,
+ alias_priority=alias_priority,
+ validation_alias=validation_alias,
+ serialization_alias=serialization_alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ pattern=pattern,
+ regex=regex,
+ discriminator=discriminator,
+ strict=strict,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ deprecated=deprecated,
+ example=example,
+ examples=examples,
+ openapi_examples=openapi_examples,
+ include_in_schema=include_in_schema,
+ json_schema_extra=json_schema_extra,
+ **extra,
+ )
+
+
+class File(Form): # type: ignore[misc]
+ def __init__(
+ self,
+ default: Any = Undefined,
+ *,
+ default_factory: Union[Callable[[], Any], None] = _Unset,
+ annotation: Optional[Any] = None,
+ media_type: str = "multipart/form-data",
+ alias: Optional[str] = None,
+ alias_priority: Union[int, None] = _Unset,
+ # TODO: update when deprecating Pydantic v1, import these types
+ # validation_alias: str | AliasPath | AliasChoices | None
+ validation_alias: Union[str, None] = None,
+ serialization_alias: Union[str, None] = None,
+ title: Optional[str] = None,
+ description: Optional[str] = None,
+ gt: Optional[float] = None,
+ ge: Optional[float] = None,
+ lt: Optional[float] = None,
+ le: Optional[float] = None,
+ min_length: Optional[int] = None,
+ max_length: Optional[int] = None,
+ pattern: Optional[str] = None,
+ regex: Annotated[
+ Optional[str],
+ deprecated(
+ "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
+ ),
+ ] = None,
+ discriminator: Union[str, None] = None,
+ strict: Union[bool, None] = _Unset,
+ multiple_of: Union[float, None] = _Unset,
+ allow_inf_nan: Union[bool, None] = _Unset,
+ max_digits: Union[int, None] = _Unset,
+ decimal_places: Union[int, None] = _Unset,
+ examples: Optional[List[Any]] = None,
+ example: Annotated[
+ Optional[Any],
+ deprecated(
+ "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
+ "although still supported. Use examples instead."
+ ),
+ ] = _Unset,
+ openapi_examples: Optional[Dict[str, Example]] = None,
+ deprecated: Union[deprecated, str, bool, None] = None,
+ include_in_schema: bool = True,
+ json_schema_extra: Union[Dict[str, Any], None] = None,
+ **extra: Any,
+ ):
+ super().__init__(
+ default=default,
+ default_factory=default_factory,
+ annotation=annotation,
+ media_type=media_type,
+ alias=alias,
+ alias_priority=alias_priority,
+ validation_alias=validation_alias,
+ serialization_alias=serialization_alias,
+ title=title,
+ description=description,
+ gt=gt,
+ ge=ge,
+ lt=lt,
+ le=le,
+ min_length=min_length,
+ max_length=max_length,
+ pattern=pattern,
+ regex=regex,
+ discriminator=discriminator,
+ strict=strict,
+ multiple_of=multiple_of,
+ allow_inf_nan=allow_inf_nan,
+ max_digits=max_digits,
+ decimal_places=decimal_places,
+ deprecated=deprecated,
+ example=example,
+ examples=examples,
+ openapi_examples=openapi_examples,
+ include_in_schema=include_in_schema,
+ json_schema_extra=json_schema_extra,
+ **extra,
+ )
diff --git a/fastapi/utils.py b/fastapi/utils.py
index 98725ff19..2e79ee6b1 100644
--- a/fastapi/utils.py
+++ b/fastapi/utils.py
@@ -23,10 +23,12 @@ from fastapi._compat import (
Undefined,
UndefinedType,
Validator,
+ annotation_is_pydantic_v1,
lenient_issubclass,
+ may_v1,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
-from pydantic import BaseModel, create_model
+from pydantic import BaseModel
from pydantic.fields import FieldInfo
from typing_extensions import Literal
@@ -60,50 +62,74 @@ def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
+_invalid_args_message = (
+ "Invalid args for response field! Hint: "
+ "check that {type_} is a valid Pydantic field type. "
+ "If you are using a return type annotation that is not a valid Pydantic "
+ "field (e.g. Union[Response, dict, None]) you can disable generating the "
+ "response model from the type annotation with the path operation decorator "
+ "parameter response_model=None. Read more: "
+ "https://fastapi.tiangolo.com/tutorial/response-model/"
+)
+
+
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
- model_config: Type[BaseConfig] = BaseConfig,
+ model_config: Union[Type[BaseConfig], None] = None,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
+ version: Literal["1", "auto"] = "auto",
) -> ModelField:
class_validators = class_validators or {}
- if PYDANTIC_V2:
+
+ v1_model_config = may_v1.BaseConfig
+ v1_field_info = field_info or may_v1.FieldInfo()
+ v1_kwargs = {
+ "name": name,
+ "field_info": v1_field_info,
+ "type_": type_,
+ "class_validators": class_validators,
+ "default": default,
+ "required": required,
+ "model_config": v1_model_config,
+ "alias": alias,
+ }
+
+ if (
+ annotation_is_pydantic_v1(type_)
+ or isinstance(field_info, may_v1.FieldInfo)
+ or version == "1"
+ ):
+ from fastapi._compat import v1
+
+ try:
+ return v1.ModelField(**v1_kwargs) # type: ignore[no-any-return]
+ except RuntimeError:
+ raise fastapi.exceptions.FastAPIError(_invalid_args_message) from None
+ elif PYDANTIC_V2:
+ from ._compat import v2
+
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
- else:
- field_info = field_info or FieldInfo()
- kwargs = {"name": name, "field_info": field_info}
- if PYDANTIC_V2:
- kwargs.update({"mode": mode})
- else:
- kwargs.update(
- {
- "type_": type_,
- "class_validators": class_validators,
- "default": default,
- "required": required,
- "model_config": model_config,
- "alias": alias,
- }
- )
+ kwargs = {"mode": mode, "name": name, "field_info": field_info}
+ try:
+ return v2.ModelField(**kwargs) # type: ignore[return-value,arg-type]
+ except PydanticSchemaGenerationError:
+ raise fastapi.exceptions.FastAPIError(_invalid_args_message) from None
+ # Pydantic v2 is not installed, but it's not a Pydantic v1 ModelField, it could be
+ # a Pydantic v1 type, like a constrained int
+ from fastapi._compat import v1
+
try:
- return ModelField(**kwargs) # type: ignore[arg-type]
- except (RuntimeError, PydanticSchemaGenerationError):
- raise fastapi.exceptions.FastAPIError(
- "Invalid args for response field! Hint: "
- f"check that {type_} is a valid Pydantic field type. "
- "If you are using a return type annotation that is not a valid Pydantic "
- "field (e.g. Union[Response, dict, None]) you can disable generating the "
- "response model from the type annotation with the path operation decorator "
- "parameter response_model=None. Read more: "
- "https://fastapi.tiangolo.com/tutorial/response-model/"
- ) from None
+ return v1.ModelField(**v1_kwargs) # type: ignore[no-any-return]
+ except RuntimeError:
+ raise fastapi.exceptions.FastAPIError(_invalid_args_message) from None
def create_cloned_field(
@@ -112,7 +138,13 @@ def create_cloned_field(
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
- return field
+ from ._compat import v2
+
+ if isinstance(field, v2.ModelField):
+ return field
+
+ from fastapi._compat import v1
+
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
@@ -122,17 +154,18 @@ def create_cloned_field(
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
- if lenient_issubclass(original_type, BaseModel):
- original_type = cast(Type[BaseModel], original_type)
+ if lenient_issubclass(original_type, v1.BaseModel):
+ original_type = cast(Type[v1.BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
- use_type = create_model(original_type.__name__, __base__=original_type)
+ use_type = v1.create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
- f, cloned_types=cloned_types
+ f,
+ cloned_types=cloned_types,
)
- new_field = create_model_field(name=field.name, type_=use_type)
+ new_field = create_model_field(name=field.name, type_=use_type, version="1")
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
diff --git a/tests/test_compat.py b/tests/test_compat.py
index 43c686489..0184c9a2e 100644
--- a/tests/test_compat.py
+++ b/tests/test_compat.py
@@ -2,53 +2,48 @@ from typing import Any, Dict, List, Union
from fastapi import FastAPI, UploadFile
from fastapi._compat import (
- ModelField,
Undefined,
_get_model_config,
get_cached_model_fields,
- get_model_fields,
- is_bytes_sequence_annotation,
is_scalar_field,
is_uploadfile_sequence_annotation,
+ may_v1,
)
+from fastapi._compat.shared import is_bytes_sequence_annotation
from fastapi.testclient import TestClient
-from pydantic import BaseConfig, BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict
from pydantic.fields import FieldInfo
-from .utils import needs_pydanticv1, needs_pydanticv2
+from .utils import needs_py_lt_314, needs_pydanticv2
@needs_pydanticv2
def test_model_field_default_required():
+ from fastapi._compat import v2
+
# For coverage
field_info = FieldInfo(annotation=str)
- field = ModelField(name="foo", field_info=field_info)
+ field = v2.ModelField(name="foo", field_info=field_info)
assert field.default is Undefined
-@needs_pydanticv1
-def test_upload_file_dummy_with_info_plain_validator_function():
+@needs_py_lt_314
+def test_v1_plain_validator_function():
+ from fastapi._compat import v1
+
# For coverage
- assert UploadFile.__get_pydantic_core_schema__(str, lambda x: None) == {}
+ def func(v): # pragma: no cover
+ return v
+
+ result = v1.with_info_plain_validator_function(func)
+ assert result == {}
-@needs_pydanticv1
-def test_union_scalar_list():
+def test_is_model_field():
# For coverage
- # TODO: there might not be a current valid code path that uses this, it would
- # potentially enable query parameters defined as both a scalar and a list
- # but that would require more refactors, also not sure it's really useful
- from fastapi._compat import is_pv1_scalar_field
+ from fastapi._compat import _is_model_field
- field_info = FieldInfo()
- field = ModelField(
- name="foo",
- field_info=field_info,
- type_=Union[str, List[int]],
- class_validators={},
- model_config=BaseConfig,
- )
- assert not is_pv1_scalar_field(field)
+ assert not _is_model_field(str)
@needs_pydanticv2
@@ -141,21 +136,27 @@ def test_is_uploadfile_sequence_annotation():
assert is_uploadfile_sequence_annotation(Union[List[str], List[UploadFile]])
+@needs_py_lt_314
def test_is_pv1_scalar_field():
+ from fastapi._compat import v1
+
# For coverage
- class Model(BaseModel):
+ class Model(v1.BaseModel):
foo: Union[str, Dict[str, Any]]
- fields = get_model_fields(Model)
+ fields = v1.get_model_fields(Model)
assert not is_scalar_field(fields[0])
+@needs_py_lt_314
def test_get_model_fields_cached():
- class Model(BaseModel):
+ from fastapi._compat import v1
+
+ class Model(may_v1.BaseModel):
foo: str
- non_cached_fields = get_model_fields(Model)
- non_cached_fields2 = get_model_fields(Model)
+ non_cached_fields = v1.get_model_fields(Model)
+ non_cached_fields2 = v1.get_model_fields(Model)
cached_fields = get_cached_model_fields(Model)
cached_fields2 = get_cached_model_fields(Model)
for f1, f2 in zip(cached_fields, cached_fields2):
diff --git a/tests/test_compat_params_v1.py b/tests/test_compat_params_v1.py
new file mode 100644
index 000000000..7064761cb
--- /dev/null
+++ b/tests/test_compat_params_v1.py
@@ -0,0 +1,1122 @@
+import sys
+from typing import List, Optional
+
+import pytest
+
+from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+from fastapi import FastAPI
+from fastapi._compat.v1 import BaseModel
+from fastapi.temp_pydantic_v1_params import (
+ Body,
+ Cookie,
+ File,
+ Form,
+ Header,
+ Path,
+ Query,
+)
+from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
+from typing_extensions import Annotated
+
+
+class Item(BaseModel):
+ name: str
+ price: float
+ description: Optional[str] = None
+
+
+app = FastAPI()
+
+
+@app.get("/items/{item_id}")
+def get_item_with_path(
+ item_id: Annotated[int, Path(title="The ID of the item", ge=1, le=1000)],
+):
+ return {"item_id": item_id}
+
+
+@app.get("/items/")
+def get_items_with_query(
+ q: Annotated[
+ Optional[str], Query(min_length=3, max_length=50, pattern="^[a-zA-Z0-9 ]+$")
+ ] = None,
+ skip: Annotated[int, Query(ge=0)] = 0,
+ limit: Annotated[int, Query(ge=1, le=100, examples=[5])] = 10,
+):
+ return {"q": q, "skip": skip, "limit": limit}
+
+
+@app.get("/users/")
+def get_user_with_header(
+ x_custom: Annotated[Optional[str], Header()] = None,
+ x_token: Annotated[Optional[str], Header(convert_underscores=True)] = None,
+):
+ return {"x_custom": x_custom, "x_token": x_token}
+
+
+@app.get("/cookies/")
+def get_cookies(
+ session_id: Annotated[Optional[str], Cookie()] = None,
+ tracking_id: Annotated[Optional[str], Cookie(min_length=10)] = None,
+):
+ return {"session_id": session_id, "tracking_id": tracking_id}
+
+
+@app.post("/items/")
+def create_item(
+ item: Annotated[
+ Item,
+ Body(examples=[{"name": "Foo", "price": 35.4, "description": "The Foo item"}]),
+ ],
+):
+ return {"item": item}
+
+
+@app.post("/items-embed/")
+def create_item_embed(
+ item: Annotated[Item, Body(embed=True)],
+):
+ return {"item": item}
+
+
+@app.put("/items/{item_id}")
+def update_item(
+ item_id: Annotated[int, Path(ge=1)],
+ item: Annotated[Item, Body()],
+ importance: Annotated[int, Body(gt=0, le=10)],
+):
+ return {"item": item, "importance": importance}
+
+
+@app.post("/form-data/")
+def submit_form(
+ username: Annotated[str, Form(min_length=3, max_length=50)],
+ password: Annotated[str, Form(min_length=8)],
+ email: Annotated[Optional[str], Form()] = None,
+):
+ return {"username": username, "password": password, "email": email}
+
+
+@app.post("/upload/")
+def upload_file(
+ file: Annotated[bytes, File()],
+ description: Annotated[Optional[str], Form()] = None,
+):
+ return {"file_size": len(file), "description": description}
+
+
+@app.post("/upload-multiple/")
+def upload_multiple_files(
+ files: Annotated[List[bytes], File()],
+ note: Annotated[str, Form()] = "",
+):
+ return {
+ "file_count": len(files),
+ "total_size": sum(len(f) for f in files),
+ "note": note,
+ }
+
+
+client = TestClient(app)
+
+
+# Path parameter tests
+def test_path_param_valid():
+ response = client.get("/items/50")
+ assert response.status_code == 200
+ assert response.json() == {"item_id": 50}
+
+
+def test_path_param_too_large():
+ response = client.get("/items/1001")
+ assert response.status_code == 422
+ error = response.json()["detail"][0]
+ assert error["loc"] == ["path", "item_id"]
+
+
+def test_path_param_too_small():
+ response = client.get("/items/0")
+ assert response.status_code == 422
+ error = response.json()["detail"][0]
+ assert error["loc"] == ["path", "item_id"]
+
+
+# Query parameter tests
+def test_query_params_valid():
+ response = client.get("/items/?q=test search&skip=5&limit=20")
+ assert response.status_code == 200
+ assert response.json() == {"q": "test search", "skip": 5, "limit": 20}
+
+
+def test_query_params_defaults():
+ response = client.get("/items/")
+ assert response.status_code == 200
+ assert response.json() == {"q": None, "skip": 0, "limit": 10}
+
+
+def test_query_param_too_short():
+ response = client.get("/items/?q=ab")
+ assert response.status_code == 422
+ error = response.json()["detail"][0]
+ assert error["loc"] == ["query", "q"]
+
+
+def test_query_param_invalid_pattern():
+ response = client.get("/items/?q=test@#$")
+ assert response.status_code == 422
+ error = response.json()["detail"][0]
+ assert error["loc"] == ["query", "q"]
+
+
+def test_query_param_limit_too_large():
+ response = client.get("/items/?limit=101")
+ assert response.status_code == 422
+ error = response.json()["detail"][0]
+ assert error["loc"] == ["query", "limit"]
+
+
+# Header parameter tests
+def test_header_params():
+ response = client.get(
+ "/users/",
+ headers={"X-Custom": "Plumbus", "X-Token": "secret-token"},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "x_custom": "Plumbus",
+ "x_token": "secret-token",
+ }
+
+
+def test_header_underscore_conversion():
+ response = client.get(
+ "/users/",
+ headers={"x-token": "secret-token-with-dash"},
+ )
+ assert response.status_code == 200
+ assert response.json()["x_token"] == "secret-token-with-dash"
+
+
+def test_header_params_none():
+ response = client.get("/users/")
+ assert response.status_code == 200
+ assert response.json() == {"x_custom": None, "x_token": None}
+
+
+# Cookie parameter tests
+def test_cookie_params():
+ with TestClient(app) as client:
+ client.cookies.set("session_id", "abc123")
+ client.cookies.set("tracking_id", "1234567890abcdef")
+ response = client.get("/cookies/")
+ assert response.status_code == 200
+ assert response.json() == {
+ "session_id": "abc123",
+ "tracking_id": "1234567890abcdef",
+ }
+
+
+def test_cookie_tracking_id_too_short():
+ with TestClient(app) as client:
+ client.cookies.set("tracking_id", "short")
+ response = client.get("/cookies/")
+ assert response.status_code == 422
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["cookie", "tracking_id"],
+ "msg": "ensure this value has at least 10 characters",
+ "type": "value_error.any_str.min_length",
+ "ctx": {"limit_value": 10},
+ }
+ ]
+ }
+ )
+
+
+def test_cookie_params_none():
+ response = client.get("/cookies/")
+ assert response.status_code == 200
+ assert response.json() == {"session_id": None, "tracking_id": None}
+
+
+# Body parameter tests
+def test_body_param():
+ response = client.post(
+ "/items/",
+ json={"name": "Test Item", "price": 29.99, "description": "A test item"},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "item": {
+ "name": "Test Item",
+ "price": 29.99,
+ "description": "A test item",
+ }
+ }
+
+
+def test_body_param_minimal():
+ response = client.post(
+ "/items/",
+ json={"name": "Minimal", "price": 9.99},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "item": {"name": "Minimal", "price": 9.99, "description": None}
+ }
+
+
+def test_body_param_missing_required():
+ response = client.post(
+ "/items/",
+ json={"name": "Incomplete"},
+ )
+ assert response.status_code == 422
+ error = response.json()["detail"][0]
+ assert error["loc"] == ["body", "price"]
+
+
+def test_body_embed():
+ response = client.post(
+ "/items-embed/",
+ json={"item": {"name": "Embedded", "price": 15.0}},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "item": {"name": "Embedded", "price": 15.0, "description": None}
+ }
+
+
+def test_body_embed_wrong_structure():
+ response = client.post(
+ "/items-embed/",
+ json={"name": "Not Embedded", "price": 15.0},
+ )
+ assert response.status_code == 422
+
+
+# Multiple body parameters test
+def test_multiple_body_params():
+ response = client.put(
+ "/items/5",
+ json={
+ "item": {"name": "Updated Item", "price": 49.99},
+ "importance": 8,
+ },
+ )
+ assert response.status_code == 200
+ assert response.json() == snapshot(
+ {
+ "item": {"name": "Updated Item", "price": 49.99, "description": None},
+ "importance": 8,
+ }
+ )
+
+
+def test_multiple_body_params_importance_too_large():
+ response = client.put(
+ "/items/5",
+ json={
+ "item": {"name": "Item", "price": 10.0},
+ "importance": 11,
+ },
+ )
+ assert response.status_code == 422
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "importance"],
+ "msg": "ensure this value is less than or equal to 10",
+ "type": "value_error.number.not_le",
+ "ctx": {"limit_value": 10},
+ }
+ ]
+ }
+ )
+
+
+def test_multiple_body_params_importance_too_small():
+ response = client.put(
+ "/items/5",
+ json={
+ "item": {"name": "Item", "price": 10.0},
+ "importance": 0,
+ },
+ )
+ assert response.status_code == 422
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "importance"],
+ "msg": "ensure this value is greater than 0",
+ "type": "value_error.number.not_gt",
+ "ctx": {"limit_value": 0},
+ }
+ ]
+ }
+ )
+
+
+# Form parameter tests
+def test_form_data_valid():
+ response = client.post(
+ "/form-data/",
+ data={
+ "username": "testuser",
+ "password": "password123",
+ "email": "test@example.com",
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "username": "testuser",
+ "password": "password123",
+ "email": "test@example.com",
+ }
+
+
+def test_form_data_optional_field():
+ response = client.post(
+ "/form-data/",
+ data={"username": "testuser", "password": "password123"},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "username": "testuser",
+ "password": "password123",
+ "email": None,
+ }
+
+
+def test_form_data_username_too_short():
+ response = client.post(
+ "/form-data/",
+ data={"username": "ab", "password": "password123"},
+ )
+ assert response.status_code == 422
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "username"],
+ "msg": "ensure this value has at least 3 characters",
+ "type": "value_error.any_str.min_length",
+ "ctx": {"limit_value": 3},
+ }
+ ]
+ }
+ )
+
+
+def test_form_data_password_too_short():
+ response = client.post(
+ "/form-data/",
+ data={"username": "testuser", "password": "short"},
+ )
+ assert response.status_code == 422
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "password"],
+ "msg": "ensure this value has at least 8 characters",
+ "type": "value_error.any_str.min_length",
+ "ctx": {"limit_value": 8},
+ }
+ ]
+ }
+ )
+
+
+# File upload tests
+def test_upload_file():
+ response = client.post(
+ "/upload/",
+ files={"file": ("test.txt", b"Hello, World!", "text/plain")},
+ data={"description": "A test file"},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "file_size": 13,
+ "description": "A test file",
+ }
+
+
+def test_upload_file_without_description():
+ response = client.post(
+ "/upload/",
+ files={"file": ("test.txt", b"Hello!", "text/plain")},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "file_size": 6,
+ "description": None,
+ }
+
+
+def test_upload_multiple_files():
+ response = client.post(
+ "/upload-multiple/",
+ files=[
+ ("files", ("file1.txt", b"Content 1", "text/plain")),
+ ("files", ("file2.txt", b"Content 2", "text/plain")),
+ ("files", ("file3.txt", b"Content 3", "text/plain")),
+ ],
+ data={"note": "Multiple files uploaded"},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "file_count": 3,
+ "total_size": 27,
+ "note": "Multiple files uploaded",
+ }
+
+
+def test_upload_multiple_files_empty_note():
+ response = client.post(
+ "/upload-multiple/",
+ files=[
+ ("files", ("file1.txt", b"Test", "text/plain")),
+ ],
+ )
+ assert response.status_code == 200
+ assert response.json()["file_count"] == 1
+ assert response.json()["note"] == ""
+
+
+# __repr__ tests
+def test_query_repr():
+ query_param = Query(default=None, min_length=3)
+ assert repr(query_param) == "Query(None)"
+
+
+def test_body_repr():
+ body_param = Body(default=None)
+ assert repr(body_param) == "Body(None)"
+
+
+# Deprecation warning tests for regex parameter
+def test_query_regex_deprecation_warning():
+ with pytest.warns(DeprecationWarning, match="`regex` has been deprecated"):
+ Query(regex="^test$")
+
+
+def test_body_regex_deprecation_warning():
+ with pytest.warns(DeprecationWarning, match="`regex` has been deprecated"):
+ Body(regex="^test$")
+
+
+# Deprecation warning tests for example parameter
+def test_query_example_deprecation_warning():
+ with pytest.warns(DeprecationWarning, match="`example` has been deprecated"):
+ Query(example="test example")
+
+
+def test_body_example_deprecation_warning():
+ with pytest.warns(DeprecationWarning, match="`example` has been deprecated"):
+ Body(example={"test": "example"})
+
+
+def test_openapi_schema():
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/items/{item_id}": {
+ "get": {
+ "summary": "Get Item With Path",
+ "operationId": "get_item_with_path_items__item_id__get",
+ "parameters": [
+ {
+ "name": "item_id",
+ "in": "path",
+ "required": True,
+ "schema": {
+ "title": "The ID of the item",
+ "minimum": 1,
+ "maximum": 1000,
+ "type": "integer",
+ },
+ }
+ ],
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ },
+ "put": {
+ "summary": "Update Item",
+ "operationId": "update_item_items__item_id__put",
+ "parameters": [
+ {
+ "name": "item_id",
+ "in": "path",
+ "required": True,
+ "schema": {
+ "title": "Item Id",
+ "minimum": 1,
+ "type": "integer",
+ },
+ }
+ ],
+ "requestBody": {
+ "required": True,
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/Body_update_item_items__item_id__put"
+ }
+ ),
+ v2=snapshot(
+ {
+ "title": "Body",
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Body_update_item_items__item_id__put"
+ }
+ ],
+ }
+ ),
+ ),
+ }
+ },
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ },
+ },
+ "/items/": {
+ "get": {
+ "summary": "Get Items With Query",
+ "operationId": "get_items_with_query_items__get",
+ "parameters": [
+ {
+ "name": "q",
+ "in": "query",
+ "required": False,
+ "schema": {
+ "title": "Q",
+ "maxLength": 50,
+ "minLength": 3,
+ "pattern": "^[a-zA-Z0-9 ]+$",
+ "type": "string",
+ },
+ },
+ {
+ "name": "skip",
+ "in": "query",
+ "required": False,
+ "schema": {
+ "title": "Skip",
+ "default": 0,
+ "minimum": 0,
+ "type": "integer",
+ },
+ },
+ {
+ "name": "limit",
+ "in": "query",
+ "required": False,
+ "schema": {
+ "title": "Limit",
+ "default": 10,
+ "minimum": 1,
+ "maximum": 100,
+ "examples": [5],
+ "type": "integer",
+ },
+ },
+ ],
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ },
+ "post": {
+ "summary": "Create Item",
+ "operationId": "create_item_items__post",
+ "requestBody": {
+ "required": True,
+ "content": {
+ "application/json": {
+ "schema": {
+ "title": "Item",
+ "examples": [
+ {
+ "name": "Foo",
+ "price": 35.4,
+ "description": "The Foo item",
+ }
+ ],
+ "allOf": [
+ {"$ref": "#/components/schemas/Item"}
+ ],
+ }
+ }
+ },
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ },
+ },
+ "/users/": {
+ "get": {
+ "summary": "Get User With Header",
+ "operationId": "get_user_with_header_users__get",
+ "parameters": [
+ {
+ "name": "x-custom",
+ "in": "header",
+ "required": False,
+ "schema": {"title": "X-Custom", "type": "string"},
+ },
+ {
+ "name": "x-token",
+ "in": "header",
+ "required": False,
+ "schema": {"title": "X-Token", "type": "string"},
+ },
+ ],
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/cookies/": {
+ "get": {
+ "summary": "Get Cookies",
+ "operationId": "get_cookies_cookies__get",
+ "parameters": [
+ {
+ "name": "session_id",
+ "in": "cookie",
+ "required": False,
+ "schema": {"title": "Session Id", "type": "string"},
+ },
+ {
+ "name": "tracking_id",
+ "in": "cookie",
+ "required": False,
+ "schema": {
+ "title": "Tracking Id",
+ "minLength": 10,
+ "type": "string",
+ },
+ },
+ ],
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/items-embed/": {
+ "post": {
+ "summary": "Create Item Embed",
+ "operationId": "create_item_embed_items_embed__post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/Body_create_item_embed_items_embed__post"
+ }
+ ),
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Body_create_item_embed_items_embed__post"
+ }
+ ],
+ "title": "Body",
+ }
+ ),
+ ),
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/form-data/": {
+ "post": {
+ "summary": "Submit Form",
+ "operationId": "submit_form_form_data__post",
+ "requestBody": {
+ "content": {
+ "application/x-www-form-urlencoded": {
+ "schema": pydantic_snapshot(
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/Body_submit_form_form_data__post"
+ }
+ ),
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Body_submit_form_form_data__post"
+ }
+ ],
+ "title": "Body",
+ }
+ ),
+ ),
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/upload/": {
+ "post": {
+ "summary": "Upload File",
+ "operationId": "upload_file_upload__post",
+ "requestBody": {
+ "content": {
+ "multipart/form-data": {
+ "schema": pydantic_snapshot(
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/Body_upload_file_upload__post"
+ }
+ ),
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Body_upload_file_upload__post"
+ }
+ ],
+ "title": "Body",
+ }
+ ),
+ ),
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/upload-multiple/": {
+ "post": {
+ "summary": "Upload Multiple Files",
+ "operationId": "upload_multiple_files_upload_multiple__post",
+ "requestBody": {
+ "content": {
+ "multipart/form-data": {
+ "schema": pydantic_snapshot(
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/Body_upload_multiple_files_upload_multiple__post"
+ }
+ ),
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Body_upload_multiple_files_upload_multiple__post"
+ }
+ ],
+ "title": "Body",
+ }
+ ),
+ ),
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ },
+ "components": {
+ "schemas": {
+ "Body_create_item_embed_items_embed__post": {
+ "properties": pydantic_snapshot(
+ v1=snapshot(
+ {"item": {"$ref": "#/components/schemas/Item"}}
+ ),
+ v2=snapshot(
+ {
+ "item": {
+ "allOf": [
+ {"$ref": "#/components/schemas/Item"}
+ ],
+ "title": "Item",
+ }
+ }
+ ),
+ ),
+ "type": "object",
+ "required": ["item"],
+ "title": "Body_create_item_embed_items_embed__post",
+ },
+ "Body_submit_form_form_data__post": {
+ "properties": {
+ "username": {
+ "type": "string",
+ "maxLength": 50,
+ "minLength": 3,
+ "title": "Username",
+ },
+ "password": {
+ "type": "string",
+ "minLength": 8,
+ "title": "Password",
+ },
+ "email": {"type": "string", "title": "Email"},
+ },
+ "type": "object",
+ "required": ["username", "password"],
+ "title": "Body_submit_form_form_data__post",
+ },
+ "Body_update_item_items__item_id__put": {
+ "properties": {
+ "item": pydantic_snapshot(
+ v1=snapshot({"$ref": "#/components/schemas/Item"}),
+ v2=snapshot(
+ {
+ "allOf": [
+ {"$ref": "#/components/schemas/Item"}
+ ],
+ "title": "Item",
+ }
+ ),
+ ),
+ "importance": {
+ "type": "integer",
+ "maximum": 10.0,
+ "exclusiveMinimum": 0.0,
+ "title": "Importance",
+ },
+ },
+ "type": "object",
+ "required": ["item", "importance"],
+ "title": "Body_update_item_items__item_id__put",
+ },
+ "Body_upload_file_upload__post": {
+ "properties": {
+ "file": {
+ "type": "string",
+ "format": "binary",
+ "title": "File",
+ },
+ "description": {"type": "string", "title": "Description"},
+ },
+ "type": "object",
+ "required": ["file"],
+ "title": "Body_upload_file_upload__post",
+ },
+ "Body_upload_multiple_files_upload_multiple__post": {
+ "properties": {
+ "files": {
+ "items": {"type": "string", "format": "binary"},
+ "type": "array",
+ "title": "Files",
+ },
+ "note": {"type": "string", "title": "Note", "default": ""},
+ },
+ "type": "object",
+ "required": ["files"],
+ "title": "Body_upload_multiple_files_upload_multiple__post",
+ },
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "price": {"type": "number", "title": "Price"},
+ "description": {"type": "string", "title": "Description"},
+ },
+ "type": "object",
+ "required": ["name", "price"],
+ "title": "Item",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_get_model_definitions_formfeed_escape.py b/tests/test_get_model_definitions_formfeed_escape.py
index f77195dc5..6601585ef 100644
--- a/tests/test_get_model_definitions_formfeed_escape.py
+++ b/tests/test_get_model_definitions_formfeed_escape.py
@@ -164,16 +164,16 @@ def test_model_description_escaped_with_formfeed(sort_reversed: bool):
Test `get_model_definitions` with models passed in different order.
"""
+ from fastapi._compat import v1
+
all_fields = fastapi.openapi.utils.get_fields_from_routes(app.routes)
- flat_models = fastapi._compat.get_flat_models_from_fields(
- all_fields, known_models=set()
- )
+ flat_models = v1.get_flat_models_from_fields(all_fields, known_models=set())
model_name_map = pydantic.schema.get_model_name_map(flat_models)
expected_address_description = "This is a public description of an Address\n"
- models = fastapi._compat.get_model_definitions(
+ models = v1.get_model_definitions(
flat_models=SortedTypeSet(flat_models, sort_reversed=sort_reversed),
model_name_map=model_name_map,
)
diff --git a/tests/test_openapi_separate_input_output_schemas.py b/tests/test_openapi_separate_input_output_schemas.py
index f7e045259..fa73620ea 100644
--- a/tests/test_openapi_separate_input_output_schemas.py
+++ b/tests/test_openapi_separate_input_output_schemas.py
@@ -2,6 +2,7 @@ from typing import List, Optional
from fastapi import FastAPI
from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
from pydantic import BaseModel
from .utils import PYDANTIC_V2, needs_pydanticv2
@@ -135,217 +136,223 @@ def test_openapi_schema():
client = get_app_client()
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
- assert response.json() == {
- "openapi": "3.1.0",
- "info": {"title": "FastAPI", "version": "0.1.0"},
- "paths": {
- "/items/": {
- "get": {
- "summary": "Read Items",
- "operationId": "read_items_items__get",
- "responses": {
- "200": {
- "description": "Successful Response",
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/items/": {
+ "get": {
+ "summary": "Read Items",
+ "operationId": "read_items_items__get",
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item-Output"
+ },
+ "type": "array",
+ "title": "Response Read Items Items Get",
+ }
+ }
+ },
+ }
+ },
+ },
+ "post": {
+ "summary": "Create Item",
+ "operationId": "create_item_items__post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/Item-Input"
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/Item-Output"
+ }
+ }
+ },
+ },
+ "402": {
+ "description": "Payment Required",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/Item-Output"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ },
+ },
+ "/items-list/": {
+ "post": {
+ "summary": "Create Item List",
+ "operationId": "create_item_list_items_list__post",
+ "requestBody": {
"content": {
"application/json": {
"schema": {
"items": {
- "$ref": "#/components/schemas/Item-Output"
+ "$ref": "#/components/schemas/Item-Input"
},
"type": "array",
- "title": "Response Read Items Items Get",
+ "title": "Item",
}
}
},
- }
- },
- },
- "post": {
- "summary": "Create Item",
- "operationId": "create_item_items__post",
- "requestBody": {
- "content": {
- "application/json": {
- "schema": {"$ref": "#/components/schemas/Item-Input"}
- }
+ "required": True,
},
- "required": True,
- },
- "responses": {
- "200": {
- "description": "Successful Response",
- "content": {
- "application/json": {
- "schema": {
- "$ref": "#/components/schemas/Item-Output"
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {"application/json": {"schema": {}}},
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
}
- }
+ },
},
},
- "402": {
- "description": "Payment Required",
- "content": {
- "application/json": {
- "schema": {
- "$ref": "#/components/schemas/Item-Output"
- }
- }
- },
- },
- "422": {
- "description": "Validation Error",
- "content": {
- "application/json": {
- "schema": {
- "$ref": "#/components/schemas/HTTPValidationError"
- }
- }
- },
- },
- },
+ }
},
},
- "/items-list/": {
- "post": {
- "summary": "Create Item List",
- "operationId": "create_item_list_items_list__post",
- "requestBody": {
- "content": {
- "application/json": {
- "schema": {
- "items": {
- "$ref": "#/components/schemas/Item-Input"
- },
- "type": "array",
- "title": "Item",
- }
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
}
},
- "required": True,
+ "type": "object",
+ "title": "HTTPValidationError",
},
- "responses": {
- "200": {
- "description": "Successful Response",
- "content": {"application/json": {"schema": {}}},
- },
- "422": {
- "description": "Validation Error",
- "content": {
- "application/json": {
- "schema": {
- "$ref": "#/components/schemas/HTTPValidationError"
- }
- }
+ "Item-Input": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "Description",
+ },
+ "sub": {
+ "anyOf": [
+ {"$ref": "#/components/schemas/SubItem-Input"},
+ {"type": "null"},
+ ]
},
},
+ "type": "object",
+ "required": ["name"],
+ "title": "Item",
+ },
+ "Item-Output": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "Description",
+ },
+ "sub": {
+ "anyOf": [
+ {"$ref": "#/components/schemas/SubItem-Output"},
+ {"type": "null"},
+ ]
+ },
+ },
+ "type": "object",
+ "required": ["name", "description", "sub"],
+ "title": "Item",
+ },
+ "SubItem-Input": {
+ "properties": {
+ "subname": {"type": "string", "title": "Subname"},
+ "sub_description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "Sub Description",
+ },
+ "tags": {
+ "items": {"type": "string"},
+ "type": "array",
+ "title": "Tags",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["subname"],
+ "title": "SubItem",
+ },
+ "SubItem-Output": {
+ "properties": {
+ "subname": {"type": "string", "title": "Subname"},
+ "sub_description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "Sub Description",
+ },
+ "tags": {
+ "items": {"type": "string"},
+ "type": "array",
+ "title": "Tags",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["subname", "sub_description", "tags"],
+ "title": "SubItem",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
},
}
},
- },
- "components": {
- "schemas": {
- "HTTPValidationError": {
- "properties": {
- "detail": {
- "items": {"$ref": "#/components/schemas/ValidationError"},
- "type": "array",
- "title": "Detail",
- }
- },
- "type": "object",
- "title": "HTTPValidationError",
- },
- "Item-Input": {
- "properties": {
- "name": {"type": "string", "title": "Name"},
- "description": {
- "anyOf": [{"type": "string"}, {"type": "null"}],
- "title": "Description",
- },
- "sub": {
- "anyOf": [
- {"$ref": "#/components/schemas/SubItem-Input"},
- {"type": "null"},
- ]
- },
- },
- "type": "object",
- "required": ["name"],
- "title": "Item",
- },
- "Item-Output": {
- "properties": {
- "name": {"type": "string", "title": "Name"},
- "description": {
- "anyOf": [{"type": "string"}, {"type": "null"}],
- "title": "Description",
- },
- "sub": {
- "anyOf": [
- {"$ref": "#/components/schemas/SubItem-Output"},
- {"type": "null"},
- ]
- },
- },
- "type": "object",
- "required": ["name", "description", "sub"],
- "title": "Item",
- },
- "SubItem-Input": {
- "properties": {
- "subname": {"type": "string", "title": "Subname"},
- "sub_description": {
- "anyOf": [{"type": "string"}, {"type": "null"}],
- "title": "Sub Description",
- },
- "tags": {
- "items": {"type": "string"},
- "type": "array",
- "title": "Tags",
- "default": [],
- },
- },
- "type": "object",
- "required": ["subname"],
- "title": "SubItem",
- },
- "SubItem-Output": {
- "properties": {
- "subname": {"type": "string", "title": "Subname"},
- "sub_description": {
- "anyOf": [{"type": "string"}, {"type": "null"}],
- "title": "Sub Description",
- },
- "tags": {
- "items": {"type": "string"},
- "type": "array",
- "title": "Tags",
- "default": [],
- },
- },
- "type": "object",
- "required": ["subname", "sub_description", "tags"],
- "title": "SubItem",
- },
- "ValidationError": {
- "properties": {
- "loc": {
- "items": {
- "anyOf": [{"type": "string"}, {"type": "integer"}]
- },
- "type": "array",
- "title": "Location",
- },
- "msg": {"type": "string", "title": "Message"},
- "type": {"type": "string", "title": "Error Type"},
- },
- "type": "object",
- "required": ["loc", "msg", "type"],
- "title": "ValidationError",
- },
- }
- },
- }
+ }
+ )
@needs_pydanticv2
diff --git a/tests/test_pydantic_v1_v2_01.py b/tests/test_pydantic_v1_v2_01.py
new file mode 100644
index 000000000..769e5fab6
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_01.py
@@ -0,0 +1,475 @@
+import sys
+from typing import Any, List, Union
+
+from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+from fastapi import FastAPI
+from fastapi._compat.v1 import BaseModel
+from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
+
+
+class SubItem(BaseModel):
+ name: str
+
+
+class Item(BaseModel):
+ title: str
+ size: int
+ description: Union[str, None] = None
+ sub: SubItem
+ multi: List[SubItem] = []
+
+
+app = FastAPI()
+
+
+@app.post("/simple-model")
+def handle_simple_model(data: SubItem) -> SubItem:
+ return data
+
+
+@app.post("/simple-model-filter", response_model=SubItem)
+def handle_simple_model_filter(data: SubItem) -> Any:
+ extended_data = data.dict()
+ extended_data.update({"secret_price": 42})
+ return extended_data
+
+
+@app.post("/item")
+def handle_item(data: Item) -> Item:
+ return data
+
+
+@app.post("/item-filter", response_model=Item)
+def handle_item_filter(data: Item) -> Any:
+ extended_data = data.dict()
+ extended_data.update({"secret_data": "classified", "internal_id": 12345})
+ extended_data["sub"].update({"internal_id": 67890})
+ return extended_data
+
+
+client = TestClient(app)
+
+
+def test_old_simple_model():
+ response = client.post(
+ "/simple-model",
+ json={"name": "Foo"},
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {"name": "Foo"}
+
+
+def test_old_simple_model_validation_error():
+ response = client.post(
+ "/simple-model",
+ json={"wrong_name": "Foo"},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "name"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ }
+ ]
+ }
+ )
+
+
+def test_old_simple_model_filter():
+ response = client.post(
+ "/simple-model-filter",
+ json={"name": "Foo"},
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {"name": "Foo"}
+
+
+def test_item_model():
+ response = client.post(
+ "/item",
+ json={
+ "title": "Test Item",
+ "size": 100,
+ "description": "This is a test item",
+ "sub": {"name": "SubItem1"},
+ "multi": [{"name": "Multi1"}, {"name": "Multi2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "Test Item",
+ "size": 100,
+ "description": "This is a test item",
+ "sub": {"name": "SubItem1"},
+ "multi": [{"name": "Multi1"}, {"name": "Multi2"}],
+ }
+
+
+def test_item_model_minimal():
+ response = client.post(
+ "/item",
+ json={"title": "Minimal Item", "size": 50, "sub": {"name": "SubMin"}},
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "Minimal Item",
+ "size": 50,
+ "description": None,
+ "sub": {"name": "SubMin"},
+ "multi": [],
+ }
+
+
+def test_item_model_validation_errors():
+ response = client.post(
+ "/item",
+ json={"title": "Missing fields"},
+ )
+ assert response.status_code == 422, response.text
+ error_detail = response.json()["detail"]
+ assert len(error_detail) == 2
+ assert {
+ "loc": ["body", "size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ } in error_detail
+ assert {
+ "loc": ["body", "sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ } in error_detail
+
+
+def test_item_model_nested_validation_error():
+ response = client.post(
+ "/item",
+ json={"title": "Test Item", "size": 100, "sub": {"wrong_field": "test"}},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "sub", "name"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ }
+ ]
+ }
+ )
+
+
+def test_item_model_invalid_type():
+ response = client.post(
+ "/item",
+ json={"title": "Test Item", "size": "not_a_number", "sub": {"name": "SubItem"}},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "size"],
+ "msg": "value is not a valid integer",
+ "type": "type_error.integer",
+ }
+ ]
+ }
+ )
+
+
+def test_item_filter():
+ response = client.post(
+ "/item-filter",
+ json={
+ "title": "Filtered Item",
+ "size": 200,
+ "description": "Test filtering",
+ "sub": {"name": "SubFiltered"},
+ "multi": [],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == {
+ "title": "Filtered Item",
+ "size": 200,
+ "description": "Test filtering",
+ "sub": {"name": "SubFiltered"},
+ "multi": [],
+ }
+ assert "secret_data" not in result
+ assert "internal_id" not in result
+
+
+def test_openapi_schema():
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/simple-model": {
+ "post": {
+ "summary": "Handle Simple Model",
+ "operationId": "handle_simple_model_simple_model_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/SubItem"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/SubItem"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/SubItem"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/simple-model-filter": {
+ "post": {
+ "summary": "Handle Simple Model Filter",
+ "operationId": "handle_simple_model_filter_simple_model_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/SubItem"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/SubItem"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/SubItem"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item": {
+ "post": {
+ "summary": "Handle Item",
+ "operationId": "handle_item_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item-filter": {
+ "post": {
+ "summary": "Handle Item Filter",
+ "operationId": "handle_item_filter_item_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ },
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "title": {"type": "string", "title": "Title"},
+ "size": {"type": "integer", "title": "Size"},
+ "description": {"type": "string", "title": "Description"},
+ "sub": {"$ref": "#/components/schemas/SubItem"},
+ "multi": {
+ "items": {"$ref": "#/components/schemas/SubItem"},
+ "type": "array",
+ "title": "Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["title", "size", "sub"],
+ "title": "Item",
+ },
+ "SubItem": {
+ "properties": {"name": {"type": "string", "title": "Name"}},
+ "type": "object",
+ "required": ["name"],
+ "title": "SubItem",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_pydantic_v1_v2_list.py b/tests/test_pydantic_v1_v2_list.py
new file mode 100644
index 000000000..64f3dd344
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_list.py
@@ -0,0 +1,701 @@
+import sys
+from typing import Any, List, Union
+
+from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+from fastapi import FastAPI
+from fastapi._compat.v1 import BaseModel
+from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
+
+
+class SubItem(BaseModel):
+ name: str
+
+
+class Item(BaseModel):
+ title: str
+ size: int
+ description: Union[str, None] = None
+ sub: SubItem
+ multi: List[SubItem] = []
+
+
+app = FastAPI()
+
+
+@app.post("/item")
+def handle_item(data: Item) -> List[Item]:
+ return [data, data]
+
+
+@app.post("/item-filter", response_model=List[Item])
+def handle_item_filter(data: Item) -> Any:
+ extended_data = data.dict()
+ extended_data.update({"secret_data": "classified", "internal_id": 12345})
+ extended_data["sub"].update({"internal_id": 67890})
+ return [extended_data, extended_data]
+
+
+@app.post("/item-list")
+def handle_item_list(data: List[Item]) -> Item:
+ if data:
+ return data[0]
+ return Item(title="", size=0, sub=SubItem(name=""))
+
+
+@app.post("/item-list-filter", response_model=Item)
+def handle_item_list_filter(data: List[Item]) -> Any:
+ if data:
+ extended_data = data[0].dict()
+ extended_data.update({"secret_data": "classified", "internal_id": 12345})
+ extended_data["sub"].update({"internal_id": 67890})
+ return extended_data
+ return Item(title="", size=0, sub=SubItem(name=""))
+
+
+@app.post("/item-list-to-list")
+def handle_item_list_to_list(data: List[Item]) -> List[Item]:
+ return data
+
+
+@app.post("/item-list-to-list-filter", response_model=List[Item])
+def handle_item_list_to_list_filter(data: List[Item]) -> Any:
+ if data:
+ extended_data = data[0].dict()
+ extended_data.update({"secret_data": "classified", "internal_id": 12345})
+ extended_data["sub"].update({"internal_id": 67890})
+ return [extended_data, extended_data]
+ return []
+
+
+client = TestClient(app)
+
+
+def test_item_to_list():
+ response = client.post(
+ "/item",
+ json={
+ "title": "Test Item",
+ "size": 100,
+ "description": "This is a test item",
+ "sub": {"name": "SubItem1"},
+ "multi": [{"name": "Multi1"}, {"name": "Multi2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert isinstance(result, list)
+ assert len(result) == 2
+ for item in result:
+ assert item == {
+ "title": "Test Item",
+ "size": 100,
+ "description": "This is a test item",
+ "sub": {"name": "SubItem1"},
+ "multi": [{"name": "Multi1"}, {"name": "Multi2"}],
+ }
+
+
+def test_item_to_list_filter():
+ response = client.post(
+ "/item-filter",
+ json={
+ "title": "Filtered Item",
+ "size": 200,
+ "description": "Test filtering",
+ "sub": {"name": "SubFiltered"},
+ "multi": [],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert isinstance(result, list)
+ assert len(result) == 2
+ for item in result:
+ assert item == {
+ "title": "Filtered Item",
+ "size": 200,
+ "description": "Test filtering",
+ "sub": {"name": "SubFiltered"},
+ "multi": [],
+ }
+ # Verify secret fields are filtered out
+ assert "secret_data" not in item
+ assert "internal_id" not in item
+ assert "internal_id" not in item["sub"]
+
+
+def test_list_to_item():
+ response = client.post(
+ "/item-list",
+ json=[
+ {"title": "First Item", "size": 50, "sub": {"name": "First Sub"}},
+ {"title": "Second Item", "size": 75, "sub": {"name": "Second Sub"}},
+ ],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "First Item",
+ "size": 50,
+ "description": None,
+ "sub": {"name": "First Sub"},
+ "multi": [],
+ }
+
+
+def test_list_to_item_empty():
+ response = client.post(
+ "/item-list",
+ json=[],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "",
+ "size": 0,
+ "description": None,
+ "sub": {"name": ""},
+ "multi": [],
+ }
+
+
+def test_list_to_item_filter():
+ response = client.post(
+ "/item-list-filter",
+ json=[
+ {
+ "title": "First Item",
+ "size": 100,
+ "sub": {"name": "First Sub"},
+ "multi": [{"name": "Multi1"}],
+ },
+ {"title": "Second Item", "size": 200, "sub": {"name": "Second Sub"}},
+ ],
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == {
+ "title": "First Item",
+ "size": 100,
+ "description": None,
+ "sub": {"name": "First Sub"},
+ "multi": [{"name": "Multi1"}],
+ }
+ # Verify secret fields are filtered out
+ assert "secret_data" not in result
+ assert "internal_id" not in result
+
+
+def test_list_to_item_filter_no_data():
+ response = client.post("/item-list-filter", json=[])
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "",
+ "size": 0,
+ "description": None,
+ "sub": {"name": ""},
+ "multi": [],
+ }
+
+
+def test_list_to_list():
+ input_items = [
+ {"title": "Item 1", "size": 10, "sub": {"name": "Sub1"}},
+ {
+ "title": "Item 2",
+ "size": 20,
+ "description": "Second item",
+ "sub": {"name": "Sub2"},
+ "multi": [{"name": "M1"}, {"name": "M2"}],
+ },
+ {"title": "Item 3", "size": 30, "sub": {"name": "Sub3"}},
+ ]
+ response = client.post(
+ "/item-list-to-list",
+ json=input_items,
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert isinstance(result, list)
+ assert len(result) == 3
+ assert result[0] == {
+ "title": "Item 1",
+ "size": 10,
+ "description": None,
+ "sub": {"name": "Sub1"},
+ "multi": [],
+ }
+ assert result[1] == {
+ "title": "Item 2",
+ "size": 20,
+ "description": "Second item",
+ "sub": {"name": "Sub2"},
+ "multi": [{"name": "M1"}, {"name": "M2"}],
+ }
+ assert result[2] == {
+ "title": "Item 3",
+ "size": 30,
+ "description": None,
+ "sub": {"name": "Sub3"},
+ "multi": [],
+ }
+
+
+def test_list_to_list_filter():
+ response = client.post(
+ "/item-list-to-list-filter",
+ json=[{"title": "Item 1", "size": 100, "sub": {"name": "Sub1"}}],
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert isinstance(result, list)
+ assert len(result) == 2
+ for item in result:
+ assert item == {
+ "title": "Item 1",
+ "size": 100,
+ "description": None,
+ "sub": {"name": "Sub1"},
+ "multi": [],
+ }
+ # Verify secret fields are filtered out
+ assert "secret_data" not in item
+ assert "internal_id" not in item
+
+
+def test_list_to_list_filter_no_data():
+ response = client.post(
+ "/item-list-to-list-filter",
+ json=[],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == []
+
+
+def test_list_validation_error():
+ response = client.post(
+ "/item-list",
+ json=[
+ {"title": "Valid Item", "size": 100, "sub": {"name": "Sub1"}},
+ {
+ "title": "Invalid Item"
+ # Missing required fields: size and sub
+ },
+ ],
+ )
+ assert response.status_code == 422, response.text
+ error_detail = response.json()["detail"]
+ assert len(error_detail) == 2
+ assert {
+ "loc": ["body", 1, "size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ } in error_detail
+ assert {
+ "loc": ["body", 1, "sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ } in error_detail
+
+
+def test_list_nested_validation_error():
+ response = client.post(
+ "/item-list",
+ json=[
+ {"title": "Item with bad sub", "size": 100, "sub": {"wrong_field": "value"}}
+ ],
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", 0, "sub", "name"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ }
+ ]
+ }
+ )
+
+
+def test_list_type_validation_error():
+ response = client.post(
+ "/item-list",
+ json=[{"title": "Item", "size": "not_a_number", "sub": {"name": "Sub"}}],
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", 0, "size"],
+ "msg": "value is not a valid integer",
+ "type": "type_error.integer",
+ }
+ ]
+ }
+ )
+
+
+def test_invalid_list_structure():
+ response = client.post(
+ "/item-list",
+ json={"title": "Not a list", "size": 100, "sub": {"name": "Sub"}},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body"],
+ "msg": "value is not a valid list",
+ "type": "type_error.list",
+ }
+ ]
+ }
+ )
+
+
+def test_openapi_schema():
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/item": {
+ "post": {
+ "summary": "Handle Item",
+ "operationId": "handle_item_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle Item Item Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item-filter": {
+ "post": {
+ "summary": "Handle Item Filter",
+ "operationId": "handle_item_filter_item_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle Item Filter Item Filter Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item-list": {
+ "post": {
+ "summary": "Handle Item List",
+ "operationId": "handle_item_list_item_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item-list-filter": {
+ "post": {
+ "summary": "Handle Item List Filter",
+ "operationId": "handle_item_list_filter_item_list_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item-list-to-list": {
+ "post": {
+ "summary": "Handle Item List To List",
+ "operationId": "handle_item_list_to_list_item_list_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle Item List To List Item List To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/item-list-to-list-filter": {
+ "post": {
+ "summary": "Handle Item List To List Filter",
+ "operationId": "handle_item_list_to_list_filter_item_list_to_list_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle Item List To List Filter Item List To List Filter Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ },
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "title": {"type": "string", "title": "Title"},
+ "size": {"type": "integer", "title": "Size"},
+ "description": {"type": "string", "title": "Description"},
+ "sub": {"$ref": "#/components/schemas/SubItem"},
+ "multi": {
+ "items": {"$ref": "#/components/schemas/SubItem"},
+ "type": "array",
+ "title": "Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["title", "size", "sub"],
+ "title": "Item",
+ },
+ "SubItem": {
+ "properties": {"name": {"type": "string", "title": "Name"}},
+ "type": "object",
+ "required": ["name"],
+ "title": "SubItem",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_pydantic_v1_v2_mixed.py b/tests/test_pydantic_v1_v2_mixed.py
new file mode 100644
index 000000000..54d408827
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_mixed.py
@@ -0,0 +1,1499 @@
+import sys
+from typing import Any, List, Union
+
+from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+from fastapi import FastAPI
+from fastapi._compat.v1 import BaseModel
+from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
+from pydantic import BaseModel as NewBaseModel
+
+
+class SubItem(BaseModel):
+ name: str
+
+
+class Item(BaseModel):
+ title: str
+ size: int
+ description: Union[str, None] = None
+ sub: SubItem
+ multi: List[SubItem] = []
+
+
+class NewSubItem(NewBaseModel):
+ new_sub_name: str
+
+
+class NewItem(NewBaseModel):
+ new_title: str
+ new_size: int
+ new_description: Union[str, None] = None
+ new_sub: NewSubItem
+ new_multi: List[NewSubItem] = []
+
+
+app = FastAPI()
+
+
+@app.post("/v1-to-v2/item")
+def handle_v1_item_to_v2(data: Item) -> NewItem:
+ return NewItem(
+ new_title=data.title,
+ new_size=data.size,
+ new_description=data.description,
+ new_sub=NewSubItem(new_sub_name=data.sub.name),
+ new_multi=[NewSubItem(new_sub_name=s.name) for s in data.multi],
+ )
+
+
+@app.post("/v1-to-v2/item-filter", response_model=NewItem)
+def handle_v1_item_to_v2_filter(data: Item) -> Any:
+ result = {
+ "new_title": data.title,
+ "new_size": data.size,
+ "new_description": data.description,
+ "new_sub": {"new_sub_name": data.sub.name, "new_sub_secret": "sub_hidden"},
+ "new_multi": [
+ {"new_sub_name": s.name, "new_sub_secret": "sub_hidden"} for s in data.multi
+ ],
+ "secret": "hidden_v1_to_v2",
+ }
+ return result
+
+
+@app.post("/v2-to-v1/item")
+def handle_v2_item_to_v1(data: NewItem) -> Item:
+ return Item(
+ title=data.new_title,
+ size=data.new_size,
+ description=data.new_description,
+ sub=SubItem(name=data.new_sub.new_sub_name),
+ multi=[SubItem(name=s.new_sub_name) for s in data.new_multi],
+ )
+
+
+@app.post("/v2-to-v1/item-filter", response_model=Item)
+def handle_v2_item_to_v1_filter(data: NewItem) -> Any:
+ result = {
+ "title": data.new_title,
+ "size": data.new_size,
+ "description": data.new_description,
+ "sub": {"name": data.new_sub.new_sub_name, "sub_secret": "sub_hidden"},
+ "multi": [
+ {"name": s.new_sub_name, "sub_secret": "sub_hidden"} for s in data.new_multi
+ ],
+ "secret": "hidden_v2_to_v1",
+ }
+ return result
+
+
+@app.post("/v1-to-v2/item-to-list")
+def handle_v1_item_to_v2_list(data: Item) -> List[NewItem]:
+ converted = NewItem(
+ new_title=data.title,
+ new_size=data.size,
+ new_description=data.description,
+ new_sub=NewSubItem(new_sub_name=data.sub.name),
+ new_multi=[NewSubItem(new_sub_name=s.name) for s in data.multi],
+ )
+ return [converted, converted]
+
+
+@app.post("/v1-to-v2/list-to-list")
+def handle_v1_list_to_v2_list(data: List[Item]) -> List[NewItem]:
+ result = []
+ for item in data:
+ result.append(
+ NewItem(
+ new_title=item.title,
+ new_size=item.size,
+ new_description=item.description,
+ new_sub=NewSubItem(new_sub_name=item.sub.name),
+ new_multi=[NewSubItem(new_sub_name=s.name) for s in item.multi],
+ )
+ )
+ return result
+
+
+@app.post("/v1-to-v2/list-to-list-filter", response_model=List[NewItem])
+def handle_v1_list_to_v2_list_filter(data: List[Item]) -> Any:
+ result = []
+ for item in data:
+ converted = {
+ "new_title": item.title,
+ "new_size": item.size,
+ "new_description": item.description,
+ "new_sub": {"new_sub_name": item.sub.name, "new_sub_secret": "sub_hidden"},
+ "new_multi": [
+ {"new_sub_name": s.name, "new_sub_secret": "sub_hidden"}
+ for s in item.multi
+ ],
+ "secret": "hidden_v2_to_v1",
+ }
+ result.append(converted)
+ return result
+
+
+@app.post("/v1-to-v2/list-to-item")
+def handle_v1_list_to_v2_item(data: List[Item]) -> NewItem:
+ if data:
+ item = data[0]
+ return NewItem(
+ new_title=item.title,
+ new_size=item.size,
+ new_description=item.description,
+ new_sub=NewSubItem(new_sub_name=item.sub.name),
+ new_multi=[NewSubItem(new_sub_name=s.name) for s in item.multi],
+ )
+ return NewItem(new_title="", new_size=0, new_sub=NewSubItem(new_sub_name=""))
+
+
+@app.post("/v2-to-v1/item-to-list")
+def handle_v2_item_to_v1_list(data: NewItem) -> List[Item]:
+ converted = Item(
+ title=data.new_title,
+ size=data.new_size,
+ description=data.new_description,
+ sub=SubItem(name=data.new_sub.new_sub_name),
+ multi=[SubItem(name=s.new_sub_name) for s in data.new_multi],
+ )
+ return [converted, converted]
+
+
+@app.post("/v2-to-v1/list-to-list")
+def handle_v2_list_to_v1_list(data: List[NewItem]) -> List[Item]:
+ result = []
+ for item in data:
+ result.append(
+ Item(
+ title=item.new_title,
+ size=item.new_size,
+ description=item.new_description,
+ sub=SubItem(name=item.new_sub.new_sub_name),
+ multi=[SubItem(name=s.new_sub_name) for s in item.new_multi],
+ )
+ )
+ return result
+
+
+@app.post("/v2-to-v1/list-to-list-filter", response_model=List[Item])
+def handle_v2_list_to_v1_list_filter(data: List[NewItem]) -> Any:
+ result = []
+ for item in data:
+ converted = {
+ "title": item.new_title,
+ "size": item.new_size,
+ "description": item.new_description,
+ "sub": {"name": item.new_sub.new_sub_name, "sub_secret": "sub_hidden"},
+ "multi": [
+ {"name": s.new_sub_name, "sub_secret": "sub_hidden"}
+ for s in item.new_multi
+ ],
+ "secret": "hidden_v2_to_v1",
+ }
+ result.append(converted)
+ return result
+
+
+@app.post("/v2-to-v1/list-to-item")
+def handle_v2_list_to_v1_item(data: List[NewItem]) -> Item:
+ if data:
+ item = data[0]
+ return Item(
+ title=item.new_title,
+ size=item.new_size,
+ description=item.new_description,
+ sub=SubItem(name=item.new_sub.new_sub_name),
+ multi=[SubItem(name=s.new_sub_name) for s in item.new_multi],
+ )
+ return Item(title="", size=0, sub=SubItem(name=""))
+
+
+client = TestClient(app)
+
+
+def test_v1_to_v2_item():
+ response = client.post(
+ "/v1-to-v2/item",
+ json={
+ "title": "Old Item",
+ "size": 100,
+ "description": "V1 description",
+ "sub": {"name": "V1 Sub"},
+ "multi": [{"name": "M1"}, {"name": "M2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "new_title": "Old Item",
+ "new_size": 100,
+ "new_description": "V1 description",
+ "new_sub": {"new_sub_name": "V1 Sub"},
+ "new_multi": [{"new_sub_name": "M1"}, {"new_sub_name": "M2"}],
+ }
+
+
+def test_v1_to_v2_item_minimal():
+ response = client.post(
+ "/v1-to-v2/item",
+ json={"title": "Minimal", "size": 50, "sub": {"name": "MinSub"}},
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "new_title": "Minimal",
+ "new_size": 50,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "MinSub"},
+ "new_multi": [],
+ }
+
+
+def test_v1_to_v2_item_filter():
+ response = client.post(
+ "/v1-to-v2/item-filter",
+ json={
+ "title": "Filtered Item",
+ "size": 50,
+ "sub": {"name": "Sub"},
+ "multi": [{"name": "Multi1"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == snapshot(
+ {
+ "new_title": "Filtered Item",
+ "new_size": 50,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "Sub"},
+ "new_multi": [{"new_sub_name": "Multi1"}],
+ }
+ )
+ # Verify secret fields are filtered out
+ assert "secret" not in result
+ assert "new_sub_secret" not in result["new_sub"]
+ assert "new_sub_secret" not in result["new_multi"][0]
+
+
+def test_v2_to_v1_item():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "New Item",
+ "new_size": 200,
+ "new_description": "V2 description",
+ "new_sub": {"new_sub_name": "V2 Sub"},
+ "new_multi": [{"new_sub_name": "N1"}, {"new_sub_name": "N2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "New Item",
+ "size": 200,
+ "description": "V2 description",
+ "sub": {"name": "V2 Sub"},
+ "multi": [{"name": "N1"}, {"name": "N2"}],
+ }
+
+
+def test_v2_to_v1_item_minimal():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "MinimalNew",
+ "new_size": 75,
+ "new_sub": {"new_sub_name": "MinNewSub"},
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "MinimalNew",
+ "size": 75,
+ "description": None,
+ "sub": {"name": "MinNewSub"},
+ "multi": [],
+ }
+
+
+def test_v2_to_v1_item_filter():
+ response = client.post(
+ "/v2-to-v1/item-filter",
+ json={
+ "new_title": "Filtered New",
+ "new_size": 75,
+ "new_sub": {"new_sub_name": "NewSub"},
+ "new_multi": [],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == snapshot(
+ {
+ "title": "Filtered New",
+ "size": 75,
+ "description": None,
+ "sub": {"name": "NewSub"},
+ "multi": [],
+ }
+ )
+ # Verify secret fields are filtered out
+ assert "secret" not in result
+ assert "sub_secret" not in result["sub"]
+
+
+def test_v1_item_to_v2_list():
+ response = client.post(
+ "/v1-to-v2/item-to-list",
+ json={
+ "title": "Single to List",
+ "size": 150,
+ "description": "Convert to list",
+ "sub": {"name": "Sub1"},
+ "multi": [],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == [
+ {
+ "new_title": "Single to List",
+ "new_size": 150,
+ "new_description": "Convert to list",
+ "new_sub": {"new_sub_name": "Sub1"},
+ "new_multi": [],
+ },
+ {
+ "new_title": "Single to List",
+ "new_size": 150,
+ "new_description": "Convert to list",
+ "new_sub": {"new_sub_name": "Sub1"},
+ "new_multi": [],
+ },
+ ]
+
+
+def test_v1_list_to_v2_list():
+ response = client.post(
+ "/v1-to-v2/list-to-list",
+ json=[
+ {"title": "Item1", "size": 10, "sub": {"name": "Sub1"}},
+ {
+ "title": "Item2",
+ "size": 20,
+ "description": "Second item",
+ "sub": {"name": "Sub2"},
+ "multi": [{"name": "M1"}, {"name": "M2"}],
+ },
+ {"title": "Item3", "size": 30, "sub": {"name": "Sub3"}},
+ ],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == [
+ {
+ "new_title": "Item1",
+ "new_size": 10,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "Sub1"},
+ "new_multi": [],
+ },
+ {
+ "new_title": "Item2",
+ "new_size": 20,
+ "new_description": "Second item",
+ "new_sub": {"new_sub_name": "Sub2"},
+ "new_multi": [{"new_sub_name": "M1"}, {"new_sub_name": "M2"}],
+ },
+ {
+ "new_title": "Item3",
+ "new_size": 30,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "Sub3"},
+ "new_multi": [],
+ },
+ ]
+
+
+def test_v1_list_to_v2_list_filter():
+ response = client.post(
+ "/v1-to-v2/list-to-list-filter",
+ json=[{"title": "FilterMe", "size": 30, "sub": {"name": "SubF"}}],
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == snapshot(
+ [
+ {
+ "new_title": "FilterMe",
+ "new_size": 30,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "SubF"},
+ "new_multi": [],
+ }
+ ]
+ )
+ # Verify secret fields are filtered out
+ assert "secret" not in result[0]
+ assert "new_sub_secret" not in result[0]["new_sub"]
+
+
+def test_v1_list_to_v2_item():
+ response = client.post(
+ "/v1-to-v2/list-to-item",
+ json=[
+ {"title": "First", "size": 100, "sub": {"name": "FirstSub"}},
+ {"title": "Second", "size": 200, "sub": {"name": "SecondSub"}},
+ ],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "new_title": "First",
+ "new_size": 100,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "FirstSub"},
+ "new_multi": [],
+ }
+
+
+def test_v1_list_to_v2_item_empty():
+ response = client.post("/v1-to-v2/list-to-item", json=[])
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "new_title": "",
+ "new_size": 0,
+ "new_description": None,
+ "new_sub": {"new_sub_name": ""},
+ "new_multi": [],
+ }
+
+
+def test_v2_item_to_v1_list():
+ response = client.post(
+ "/v2-to-v1/item-to-list",
+ json={
+ "new_title": "Single New",
+ "new_size": 250,
+ "new_description": "New to list",
+ "new_sub": {"new_sub_name": "NewSub"},
+ "new_multi": [],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == [
+ {
+ "title": "Single New",
+ "size": 250,
+ "description": "New to list",
+ "sub": {"name": "NewSub"},
+ "multi": [],
+ },
+ {
+ "title": "Single New",
+ "size": 250,
+ "description": "New to list",
+ "sub": {"name": "NewSub"},
+ "multi": [],
+ },
+ ]
+
+
+def test_v2_list_to_v1_list():
+ response = client.post(
+ "/v2-to-v1/list-to-list",
+ json=[
+ {"new_title": "New1", "new_size": 15, "new_sub": {"new_sub_name": "NS1"}},
+ {
+ "new_title": "New2",
+ "new_size": 25,
+ "new_description": "Second new",
+ "new_sub": {"new_sub_name": "NS2"},
+ "new_multi": [{"new_sub_name": "NM1"}],
+ },
+ ],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == [
+ {
+ "title": "New1",
+ "size": 15,
+ "description": None,
+ "sub": {"name": "NS1"},
+ "multi": [],
+ },
+ {
+ "title": "New2",
+ "size": 25,
+ "description": "Second new",
+ "sub": {"name": "NS2"},
+ "multi": [{"name": "NM1"}],
+ },
+ ]
+
+
+def test_v2_list_to_v1_list_filter():
+ response = client.post(
+ "/v2-to-v1/list-to-list-filter",
+ json=[
+ {
+ "new_title": "FilterNew",
+ "new_size": 35,
+ "new_sub": {"new_sub_name": "NSF"},
+ }
+ ],
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result == snapshot(
+ [
+ {
+ "title": "FilterNew",
+ "size": 35,
+ "description": None,
+ "sub": {"name": "NSF"},
+ "multi": [],
+ }
+ ]
+ )
+ # Verify secret fields are filtered out
+ assert "secret" not in result[0]
+ assert "sub_secret" not in result[0]["sub"]
+
+
+def test_v2_list_to_v1_item():
+ response = client.post(
+ "/v2-to-v1/list-to-item",
+ json=[
+ {
+ "new_title": "FirstNew",
+ "new_size": 300,
+ "new_sub": {"new_sub_name": "FNS"},
+ },
+ {
+ "new_title": "SecondNew",
+ "new_size": 400,
+ "new_sub": {"new_sub_name": "SNS"},
+ },
+ ],
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "FirstNew",
+ "size": 300,
+ "description": None,
+ "sub": {"name": "FNS"},
+ "multi": [],
+ }
+
+
+def test_v2_list_to_v1_item_empty():
+ response = client.post("/v2-to-v1/list-to-item", json=[])
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "",
+ "size": 0,
+ "description": None,
+ "sub": {"name": ""},
+ "multi": [],
+ }
+
+
+def test_v1_to_v2_validation_error():
+ response = client.post("/v1-to-v2/item", json={"title": "Missing fields"})
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ {
+ "loc": ["body", "sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ ]
+ }
+ )
+
+
+def test_v1_to_v2_nested_validation_error():
+ response = client.post(
+ "/v1-to-v2/item",
+ json={"title": "Bad sub", "size": 100, "sub": {"wrong_field": "value"}},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "sub", "name"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ }
+ ]
+ }
+ )
+
+
+def test_v1_to_v2_type_validation_error():
+ response = client.post(
+ "/v1-to-v2/item",
+ json={"title": "Bad type", "size": "not_a_number", "sub": {"name": "Sub"}},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "size"],
+ "msg": "value is not a valid integer",
+ "type": "type_error.integer",
+ }
+ ]
+ }
+ )
+
+
+def test_v2_to_v1_validation_error():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={"new_title": "Missing fields"},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": pydantic_snapshot(
+ v2=snapshot(
+ [
+ {
+ "type": "missing",
+ "loc": ["body", "new_size"],
+ "msg": "Field required",
+ "input": {"new_title": "Missing fields"},
+ },
+ {
+ "type": "missing",
+ "loc": ["body", "new_sub"],
+ "msg": "Field required",
+ "input": {"new_title": "Missing fields"},
+ },
+ ]
+ ),
+ v1=snapshot(
+ [
+ {
+ "loc": ["body", "new_size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ {
+ "loc": ["body", "new_sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ ]
+ ),
+ )
+ }
+ )
+
+
+def test_v2_to_v1_nested_validation_error():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "Bad sub",
+ "new_size": 200,
+ "new_sub": {"wrong_field": "value"},
+ },
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ pydantic_snapshot(
+ v2=snapshot(
+ {
+ "type": "missing",
+ "loc": ["body", "new_sub", "new_sub_name"],
+ "msg": "Field required",
+ "input": {"wrong_field": "value"},
+ }
+ ),
+ v1=snapshot(
+ {
+ "loc": ["body", "new_sub", "new_sub_name"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ }
+ ),
+ )
+ ]
+ }
+ )
+
+
+def test_v1_list_validation_error():
+ response = client.post(
+ "/v1-to-v2/list-to-list",
+ json=[
+ {"title": "Valid", "size": 10, "sub": {"name": "S"}},
+ {"title": "Invalid"},
+ ],
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", 1, "size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ {
+ "loc": ["body", 1, "sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ ]
+ }
+ )
+
+
+def test_v2_list_validation_error():
+ response = client.post(
+ "/v2-to-v1/list-to-list",
+ json=[
+ {"new_title": "Valid", "new_size": 10, "new_sub": {"new_sub_name": "NS"}},
+ {"new_title": "Invalid"},
+ ],
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": pydantic_snapshot(
+ v2=snapshot(
+ [
+ {
+ "type": "missing",
+ "loc": ["body", 1, "new_size"],
+ "msg": "Field required",
+ "input": {"new_title": "Invalid"},
+ },
+ {
+ "type": "missing",
+ "loc": ["body", 1, "new_sub"],
+ "msg": "Field required",
+ "input": {"new_title": "Invalid"},
+ },
+ ]
+ ),
+ v1=snapshot(
+ [
+ {
+ "loc": ["body", 1, "new_size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ {
+ "loc": ["body", 1, "new_sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ ]
+ ),
+ )
+ }
+ )
+
+
+def test_invalid_list_structure_v1():
+ response = client.post(
+ "/v1-to-v2/list-to-list",
+ json={"title": "Not a list", "size": 100, "sub": {"name": "Sub"}},
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body"],
+ "msg": "value is not a valid list",
+ "type": "type_error.list",
+ }
+ ]
+ }
+ )
+
+
+def test_invalid_list_structure_v2():
+ response = client.post(
+ "/v2-to-v1/list-to-list",
+ json={
+ "new_title": "Not a list",
+ "new_size": 100,
+ "new_sub": {"new_sub_name": "Sub"},
+ },
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": pydantic_snapshot(
+ v2=snapshot(
+ [
+ {
+ "type": "list_type",
+ "loc": ["body"],
+ "msg": "Input should be a valid list",
+ "input": {
+ "new_title": "Not a list",
+ "new_size": 100,
+ "new_sub": {"new_sub_name": "Sub"},
+ },
+ }
+ ]
+ ),
+ v1=snapshot(
+ [
+ {
+ "loc": ["body"],
+ "msg": "value is not a valid list",
+ "type": "type_error.list",
+ }
+ ]
+ ),
+ )
+ }
+ )
+
+
+def test_openapi_schema():
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/v1-to-v2/item": {
+ "post": {
+ "summary": "Handle V1 Item To V2",
+ "operationId": "handle_v1_item_to_v2_v1_to_v2_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/NewItem"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/item-filter": {
+ "post": {
+ "summary": "Handle V1 Item To V2 Filter",
+ "operationId": "handle_v1_item_to_v2_filter_v1_to_v2_item_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/NewItem"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item": {
+ "post": {
+ "summary": "Handle V2 Item To V1",
+ "operationId": "handle_v2_item_to_v1_v2_to_v1_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/NewItem"}
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item-filter": {
+ "post": {
+ "summary": "Handle V2 Item To V1 Filter",
+ "operationId": "handle_v2_item_to_v1_filter_v2_to_v1_item_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/NewItem"}
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/item-to-list": {
+ "post": {
+ "summary": "Handle V1 Item To V2 List",
+ "operationId": "handle_v1_item_to_v2_list_v1_to_v2_item_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ "type": "array",
+ "title": "Response Handle V1 Item To V2 List V1 To V2 Item To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/list-to-list": {
+ "post": {
+ "summary": "Handle V1 List To V2 List",
+ "operationId": "handle_v1_list_to_v2_list_v1_to_v2_list_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ "type": "array",
+ "title": "Response Handle V1 List To V2 List V1 To V2 List To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/list-to-list-filter": {
+ "post": {
+ "summary": "Handle V1 List To V2 List Filter",
+ "operationId": "handle_v1_list_to_v2_list_filter_v1_to_v2_list_to_list_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ "type": "array",
+ "title": "Response Handle V1 List To V2 List Filter V1 To V2 List To List Filter Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/list-to-item": {
+ "post": {
+ "summary": "Handle V1 List To V2 Item",
+ "operationId": "handle_v1_list_to_v2_item_v1_to_v2_list_to_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {"$ref": "#/components/schemas/Item"},
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/NewItem"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item-to-list": {
+ "post": {
+ "summary": "Handle V2 Item To V1 List",
+ "operationId": "handle_v2_item_to_v1_list_v2_to_v1_item_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/NewItem"}
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle V2 Item To V1 List V2 To V1 Item To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/list-to-list": {
+ "post": {
+ "summary": "Handle V2 List To V1 List",
+ "operationId": "handle_v2_list_to_v1_list_v2_to_v1_list_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle V2 List To V1 List V2 To V1 List To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/list-to-list-filter": {
+ "post": {
+ "summary": "Handle V2 List To V1 List Filter",
+ "operationId": "handle_v2_list_to_v1_list_filter_v2_to_v1_list_to_list_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/Item"
+ },
+ "type": "array",
+ "title": "Response Handle V2 List To V1 List Filter V2 To V1 List To List Filter Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/list-to-item": {
+ "post": {
+ "summary": "Handle V2 List To V1 Item",
+ "operationId": "handle_v2_list_to_v1_item_v2_to_v1_list_to_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ },
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "title": {"type": "string", "title": "Title"},
+ "size": {"type": "integer", "title": "Size"},
+ "description": {"type": "string", "title": "Description"},
+ "sub": {"$ref": "#/components/schemas/SubItem"},
+ "multi": {
+ "items": {"$ref": "#/components/schemas/SubItem"},
+ "type": "array",
+ "title": "Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["title", "size", "sub"],
+ "title": "Item",
+ },
+ "NewItem": {
+ "properties": {
+ "new_title": {"type": "string", "title": "New Title"},
+ "new_size": {"type": "integer", "title": "New Size"},
+ "new_description": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "New Description",
+ }
+ ),
+ v1=snapshot(
+ {"type": "string", "title": "New Description"}
+ ),
+ ),
+ "new_sub": {"$ref": "#/components/schemas/NewSubItem"},
+ "new_multi": {
+ "items": {"$ref": "#/components/schemas/NewSubItem"},
+ "type": "array",
+ "title": "New Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["new_title", "new_size", "new_sub"],
+ "title": "NewItem",
+ },
+ "NewSubItem": {
+ "properties": {
+ "new_sub_name": {"type": "string", "title": "New Sub Name"}
+ },
+ "type": "object",
+ "required": ["new_sub_name"],
+ "title": "NewSubItem",
+ },
+ "SubItem": {
+ "properties": {"name": {"type": "string", "title": "Name"}},
+ "type": "object",
+ "required": ["name"],
+ "title": "SubItem",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_pydantic_v1_v2_multifile/__init__.py b/tests/test_pydantic_v1_v2_multifile/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/tests/test_pydantic_v1_v2_multifile/main.py b/tests/test_pydantic_v1_v2_multifile/main.py
new file mode 100644
index 000000000..8985cb7b4
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_multifile/main.py
@@ -0,0 +1,142 @@
+from typing import List
+
+from fastapi import FastAPI
+
+from . import modelsv1, modelsv2, modelsv2b
+
+app = FastAPI()
+
+
+@app.post("/v1-to-v2/item")
+def handle_v1_item_to_v2(data: modelsv1.Item) -> modelsv2.Item:
+ return modelsv2.Item(
+ new_title=data.title,
+ new_size=data.size,
+ new_description=data.description,
+ new_sub=modelsv2.SubItem(new_sub_name=data.sub.name),
+ new_multi=[modelsv2.SubItem(new_sub_name=s.name) for s in data.multi],
+ )
+
+
+@app.post("/v2-to-v1/item")
+def handle_v2_item_to_v1(data: modelsv2.Item) -> modelsv1.Item:
+ return modelsv1.Item(
+ title=data.new_title,
+ size=data.new_size,
+ description=data.new_description,
+ sub=modelsv1.SubItem(name=data.new_sub.new_sub_name),
+ multi=[modelsv1.SubItem(name=s.new_sub_name) for s in data.new_multi],
+ )
+
+
+@app.post("/v1-to-v2/item-to-list")
+def handle_v1_item_to_v2_list(data: modelsv1.Item) -> List[modelsv2.Item]:
+ converted = modelsv2.Item(
+ new_title=data.title,
+ new_size=data.size,
+ new_description=data.description,
+ new_sub=modelsv2.SubItem(new_sub_name=data.sub.name),
+ new_multi=[modelsv2.SubItem(new_sub_name=s.name) for s in data.multi],
+ )
+ return [converted, converted]
+
+
+@app.post("/v1-to-v2/list-to-list")
+def handle_v1_list_to_v2_list(data: List[modelsv1.Item]) -> List[modelsv2.Item]:
+ result = []
+ for item in data:
+ result.append(
+ modelsv2.Item(
+ new_title=item.title,
+ new_size=item.size,
+ new_description=item.description,
+ new_sub=modelsv2.SubItem(new_sub_name=item.sub.name),
+ new_multi=[modelsv2.SubItem(new_sub_name=s.name) for s in item.multi],
+ )
+ )
+ return result
+
+
+@app.post("/v1-to-v2/list-to-item")
+def handle_v1_list_to_v2_item(data: List[modelsv1.Item]) -> modelsv2.Item:
+ if data:
+ item = data[0]
+ return modelsv2.Item(
+ new_title=item.title,
+ new_size=item.size,
+ new_description=item.description,
+ new_sub=modelsv2.SubItem(new_sub_name=item.sub.name),
+ new_multi=[modelsv2.SubItem(new_sub_name=s.name) for s in item.multi],
+ )
+ return modelsv2.Item(
+ new_title="", new_size=0, new_sub=modelsv2.SubItem(new_sub_name="")
+ )
+
+
+@app.post("/v2-to-v1/item-to-list")
+def handle_v2_item_to_v1_list(data: modelsv2.Item) -> List[modelsv1.Item]:
+ converted = modelsv1.Item(
+ title=data.new_title,
+ size=data.new_size,
+ description=data.new_description,
+ sub=modelsv1.SubItem(name=data.new_sub.new_sub_name),
+ multi=[modelsv1.SubItem(name=s.new_sub_name) for s in data.new_multi],
+ )
+ return [converted, converted]
+
+
+@app.post("/v2-to-v1/list-to-list")
+def handle_v2_list_to_v1_list(data: List[modelsv2.Item]) -> List[modelsv1.Item]:
+ result = []
+ for item in data:
+ result.append(
+ modelsv1.Item(
+ title=item.new_title,
+ size=item.new_size,
+ description=item.new_description,
+ sub=modelsv1.SubItem(name=item.new_sub.new_sub_name),
+ multi=[modelsv1.SubItem(name=s.new_sub_name) for s in item.new_multi],
+ )
+ )
+ return result
+
+
+@app.post("/v2-to-v1/list-to-item")
+def handle_v2_list_to_v1_item(data: List[modelsv2.Item]) -> modelsv1.Item:
+ if data:
+ item = data[0]
+ return modelsv1.Item(
+ title=item.new_title,
+ size=item.new_size,
+ description=item.new_description,
+ sub=modelsv1.SubItem(name=item.new_sub.new_sub_name),
+ multi=[modelsv1.SubItem(name=s.new_sub_name) for s in item.new_multi],
+ )
+ return modelsv1.Item(title="", size=0, sub=modelsv1.SubItem(name=""))
+
+
+@app.post("/v2-to-v1/same-name")
+def handle_v2_same_name_to_v1(
+ item1: modelsv2.Item, item2: modelsv2b.Item
+) -> modelsv1.Item:
+ return modelsv1.Item(
+ title=item1.new_title,
+ size=item2.dup_size,
+ description=item1.new_description,
+ sub=modelsv1.SubItem(name=item1.new_sub.new_sub_name),
+ multi=[modelsv1.SubItem(name=s.dup_sub_name) for s in item2.dup_multi],
+ )
+
+
+@app.post("/v2-to-v1/list-of-items-to-list-of-items")
+def handle_v2_items_in_list_to_v1_item_in_list(
+ data1: List[modelsv2.ItemInList], data2: List[modelsv2b.ItemInList]
+) -> List[modelsv1.ItemInList]:
+ result = []
+ item1 = data1[0]
+ item2 = data2[0]
+ result = [
+ modelsv1.ItemInList(name1=item1.name2),
+ modelsv1.ItemInList(name1=item2.dup_name2),
+ ]
+ return result
diff --git a/tests/test_pydantic_v1_v2_multifile/modelsv1.py b/tests/test_pydantic_v1_v2_multifile/modelsv1.py
new file mode 100644
index 000000000..889291a1a
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_multifile/modelsv1.py
@@ -0,0 +1,19 @@
+from typing import List, Union
+
+from fastapi._compat.v1 import BaseModel
+
+
+class SubItem(BaseModel):
+ name: str
+
+
+class Item(BaseModel):
+ title: str
+ size: int
+ description: Union[str, None] = None
+ sub: SubItem
+ multi: List[SubItem] = []
+
+
+class ItemInList(BaseModel):
+ name1: str
diff --git a/tests/test_pydantic_v1_v2_multifile/modelsv2.py b/tests/test_pydantic_v1_v2_multifile/modelsv2.py
new file mode 100644
index 000000000..2c8c6ea35
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_multifile/modelsv2.py
@@ -0,0 +1,19 @@
+from typing import List, Union
+
+from pydantic import BaseModel
+
+
+class SubItem(BaseModel):
+ new_sub_name: str
+
+
+class Item(BaseModel):
+ new_title: str
+ new_size: int
+ new_description: Union[str, None] = None
+ new_sub: SubItem
+ new_multi: List[SubItem] = []
+
+
+class ItemInList(BaseModel):
+ name2: str
diff --git a/tests/test_pydantic_v1_v2_multifile/modelsv2b.py b/tests/test_pydantic_v1_v2_multifile/modelsv2b.py
new file mode 100644
index 000000000..dc0c06c66
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_multifile/modelsv2b.py
@@ -0,0 +1,19 @@
+from typing import List, Union
+
+from pydantic import BaseModel
+
+
+class SubItem(BaseModel):
+ dup_sub_name: str
+
+
+class Item(BaseModel):
+ dup_title: str
+ dup_size: int
+ dup_description: Union[str, None] = None
+ dup_sub: SubItem
+ dup_multi: List[SubItem] = []
+
+
+class ItemInList(BaseModel):
+ dup_name2: str
diff --git a/tests/test_pydantic_v1_v2_multifile/test_multifile.py b/tests/test_pydantic_v1_v2_multifile/test_multifile.py
new file mode 100644
index 000000000..4472bd73e
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_multifile/test_multifile.py
@@ -0,0 +1,1237 @@
+import sys
+
+from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
+
+from .main import app
+
+client = TestClient(app)
+
+
+def test_v1_to_v2_item():
+ response = client.post(
+ "/v1-to-v2/item",
+ json={"title": "Test", "size": 10, "sub": {"name": "SubTest"}},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "new_title": "Test",
+ "new_size": 10,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "SubTest"},
+ "new_multi": [],
+ }
+
+
+def test_v2_to_v1_item():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "NewTest",
+ "new_size": 20,
+ "new_sub": {"new_sub_name": "NewSubTest"},
+ },
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "title": "NewTest",
+ "size": 20,
+ "description": None,
+ "sub": {"name": "NewSubTest"},
+ "multi": [],
+ }
+
+
+def test_v1_to_v2_item_to_list():
+ response = client.post(
+ "/v1-to-v2/item-to-list",
+ json={"title": "ListTest", "size": 30, "sub": {"name": "SubListTest"}},
+ )
+ assert response.status_code == 200
+ assert response.json() == [
+ {
+ "new_title": "ListTest",
+ "new_size": 30,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "SubListTest"},
+ "new_multi": [],
+ },
+ {
+ "new_title": "ListTest",
+ "new_size": 30,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "SubListTest"},
+ "new_multi": [],
+ },
+ ]
+
+
+def test_v1_to_v2_list_to_list():
+ response = client.post(
+ "/v1-to-v2/list-to-list",
+ json=[
+ {"title": "Item1", "size": 40, "sub": {"name": "Sub1"}},
+ {"title": "Item2", "size": 50, "sub": {"name": "Sub2"}},
+ ],
+ )
+ assert response.status_code == 200
+ assert response.json() == [
+ {
+ "new_title": "Item1",
+ "new_size": 40,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "Sub1"},
+ "new_multi": [],
+ },
+ {
+ "new_title": "Item2",
+ "new_size": 50,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "Sub2"},
+ "new_multi": [],
+ },
+ ]
+
+
+def test_v1_to_v2_list_to_item():
+ response = client.post(
+ "/v1-to-v2/list-to-item",
+ json=[
+ {"title": "FirstItem", "size": 60, "sub": {"name": "FirstSub"}},
+ {"title": "SecondItem", "size": 70, "sub": {"name": "SecondSub"}},
+ ],
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "new_title": "FirstItem",
+ "new_size": 60,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "FirstSub"},
+ "new_multi": [],
+ }
+
+
+def test_v2_to_v1_item_to_list():
+ response = client.post(
+ "/v2-to-v1/item-to-list",
+ json={
+ "new_title": "ListNew",
+ "new_size": 80,
+ "new_sub": {"new_sub_name": "SubListNew"},
+ },
+ )
+ assert response.status_code == 200
+ assert response.json() == [
+ {
+ "title": "ListNew",
+ "size": 80,
+ "description": None,
+ "sub": {"name": "SubListNew"},
+ "multi": [],
+ },
+ {
+ "title": "ListNew",
+ "size": 80,
+ "description": None,
+ "sub": {"name": "SubListNew"},
+ "multi": [],
+ },
+ ]
+
+
+def test_v2_to_v1_list_to_list():
+ response = client.post(
+ "/v2-to-v1/list-to-list",
+ json=[
+ {
+ "new_title": "New1",
+ "new_size": 90,
+ "new_sub": {"new_sub_name": "NewSub1"},
+ },
+ {
+ "new_title": "New2",
+ "new_size": 100,
+ "new_sub": {"new_sub_name": "NewSub2"},
+ },
+ ],
+ )
+ assert response.status_code == 200
+ assert response.json() == [
+ {
+ "title": "New1",
+ "size": 90,
+ "description": None,
+ "sub": {"name": "NewSub1"},
+ "multi": [],
+ },
+ {
+ "title": "New2",
+ "size": 100,
+ "description": None,
+ "sub": {"name": "NewSub2"},
+ "multi": [],
+ },
+ ]
+
+
+def test_v2_to_v1_list_to_item():
+ response = client.post(
+ "/v2-to-v1/list-to-item",
+ json=[
+ {
+ "new_title": "FirstNew",
+ "new_size": 110,
+ "new_sub": {"new_sub_name": "FirstNewSub"},
+ },
+ {
+ "new_title": "SecondNew",
+ "new_size": 120,
+ "new_sub": {"new_sub_name": "SecondNewSub"},
+ },
+ ],
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "title": "FirstNew",
+ "size": 110,
+ "description": None,
+ "sub": {"name": "FirstNewSub"},
+ "multi": [],
+ }
+
+
+def test_v1_to_v2_list_to_item_empty():
+ response = client.post("/v1-to-v2/list-to-item", json=[])
+ assert response.status_code == 200
+ assert response.json() == {
+ "new_title": "",
+ "new_size": 0,
+ "new_description": None,
+ "new_sub": {"new_sub_name": ""},
+ "new_multi": [],
+ }
+
+
+def test_v2_to_v1_list_to_item_empty():
+ response = client.post("/v2-to-v1/list-to-item", json=[])
+ assert response.status_code == 200
+ assert response.json() == {
+ "title": "",
+ "size": 0,
+ "description": None,
+ "sub": {"name": ""},
+ "multi": [],
+ }
+
+
+def test_v2_same_name_to_v1():
+ response = client.post(
+ "/v2-to-v1/same-name",
+ json={
+ "item1": {
+ "new_title": "Title1",
+ "new_size": 100,
+ "new_description": "Description1",
+ "new_sub": {"new_sub_name": "Sub1"},
+ "new_multi": [{"new_sub_name": "Multi1"}],
+ },
+ "item2": {
+ "dup_title": "Title2",
+ "dup_size": 200,
+ "dup_description": "Description2",
+ "dup_sub": {"dup_sub_name": "Sub2"},
+ "dup_multi": [
+ {"dup_sub_name": "Multi2a"},
+ {"dup_sub_name": "Multi2b"},
+ ],
+ },
+ },
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "title": "Title1",
+ "size": 200,
+ "description": "Description1",
+ "sub": {"name": "Sub1"},
+ "multi": [{"name": "Multi2a"}, {"name": "Multi2b"}],
+ }
+
+
+def test_v2_items_in_list_to_v1_item_in_list():
+ response = client.post(
+ "/v2-to-v1/list-of-items-to-list-of-items",
+ json={
+ "data1": [{"name2": "Item1"}, {"name2": "Item2"}],
+ "data2": [{"dup_name2": "Item3"}, {"dup_name2": "Item4"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == [
+ {"name1": "Item1"},
+ {"name1": "Item3"},
+ ]
+
+
+def test_openapi_schema():
+ response = client.get("/openapi.json")
+ assert response.status_code == 200
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/v1-to-v2/item": {
+ "post": {
+ "summary": "Handle V1 Item To V2",
+ "operationId": "handle_v1_item_to_v2_v1_to_v2_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item": {
+ "post": {
+ "summary": "Handle V2 Item To V1",
+ "operationId": "handle_v2_item_to_v1_v2_to_v1_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
+ }
+ ),
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ }
+ ),
+ ),
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/item-to-list": {
+ "post": {
+ "summary": "Handle V1 Item To V2 List",
+ "operationId": "handle_v1_item_to_v2_list_v1_to_v2_item_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ },
+ "type": "array",
+ "title": "Response Handle V1 Item To V2 List V1 To V2 Item To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/list-to-list": {
+ "post": {
+ "summary": "Handle V1 List To V2 List",
+ "operationId": "handle_v1_list_to_v2_list_v1_to_v2_list_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ },
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ },
+ "type": "array",
+ "title": "Response Handle V1 List To V2 List V1 To V2 List To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/list-to-item": {
+ "post": {
+ "summary": "Handle V1 List To V2 Item",
+ "operationId": "handle_v1_list_to_v2_item_v1_to_v2_list_to_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ },
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item-to-list": {
+ "post": {
+ "summary": "Handle V2 Item To V1 List",
+ "operationId": "handle_v2_item_to_v1_list_v2_to_v1_item_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
+ }
+ ),
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ }
+ ),
+ ),
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ },
+ "type": "array",
+ "title": "Response Handle V2 Item To V1 List V2 To V1 Item To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/list-to-list": {
+ "post": {
+ "summary": "Handle V2 List To V1 List",
+ "operationId": "handle_v2_list_to_v1_list_v2_to_v1_list_to_list_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
+ }
+ ),
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ }
+ ),
+ ),
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ },
+ "type": "array",
+ "title": "Response Handle V2 List To V1 List V2 To V1 List To List Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/list-to-item": {
+ "post": {
+ "summary": "Handle V2 List To V1 Item",
+ "operationId": "handle_v2_list_to_v1_item_v2_to_v1_list_to_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
+ }
+ ),
+ v1=snapshot(
+ {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ }
+ ),
+ ),
+ "type": "array",
+ "title": "Data",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/same-name": {
+ "post": {
+ "summary": "Handle V2 Same Name To V1",
+ "operationId": "handle_v2_same_name_to_v1_v2_to_v1_same_name_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post"
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/list-of-items-to-list-of-items": {
+ "post": {
+ "summary": "Handle V2 Items In List To V1 Item In List",
+ "operationId": "handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post"
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__ItemInList"
+ },
+ "type": "array",
+ "title": "Response Handle V2 Items In List To V1 Item In List V2 To V1 List Of Items To List Of Items Post",
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ },
+ "components": {
+ "schemas": pydantic_snapshot(
+ v1=snapshot(
+ {
+ "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post": {
+ "properties": {
+ "data1": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList"
+ },
+ "type": "array",
+ "title": "Data1",
+ },
+ "data2": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList"
+ },
+ "type": "array",
+ "title": "Data2",
+ },
+ },
+ "type": "object",
+ "required": ["data1", "data2"],
+ "title": "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post",
+ },
+ "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post": {
+ "properties": {
+ "item1": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
+ },
+ "item2": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__Item"
+ },
+ },
+ "type": "object",
+ "required": ["item1", "item2"],
+ "title": "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post",
+ },
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [
+ {"type": "string"},
+ {"type": "integer"},
+ ]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv1__Item": {
+ "properties": {
+ "title": {"type": "string", "title": "Title"},
+ "size": {"type": "integer", "title": "Size"},
+ "description": {
+ "type": "string",
+ "title": "Description",
+ },
+ "sub": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
+ },
+ "multi": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
+ },
+ "type": "array",
+ "title": "Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["title", "size", "sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv1__ItemInList": {
+ "properties": {
+ "name1": {"type": "string", "title": "Name1"}
+ },
+ "type": "object",
+ "required": ["name1"],
+ "title": "ItemInList",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"}
+ },
+ "type": "object",
+ "required": ["name"],
+ "title": "SubItem",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__Item": {
+ "properties": {
+ "new_title": {
+ "type": "string",
+ "title": "New Title",
+ },
+ "new_size": {
+ "type": "integer",
+ "title": "New Size",
+ },
+ "new_description": {
+ "type": "string",
+ "title": "New Description",
+ },
+ "new_sub": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
+ },
+ "new_multi": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
+ },
+ "type": "array",
+ "title": "New Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["new_title", "new_size", "new_sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList": {
+ "properties": {
+ "name2": {"type": "string", "title": "Name2"}
+ },
+ "type": "object",
+ "required": ["name2"],
+ "title": "ItemInList",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem": {
+ "properties": {
+ "new_sub_name": {
+ "type": "string",
+ "title": "New Sub Name",
+ }
+ },
+ "type": "object",
+ "required": ["new_sub_name"],
+ "title": "SubItem",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2b__Item": {
+ "properties": {
+ "dup_title": {
+ "type": "string",
+ "title": "Dup Title",
+ },
+ "dup_size": {
+ "type": "integer",
+ "title": "Dup Size",
+ },
+ "dup_description": {
+ "type": "string",
+ "title": "Dup Description",
+ },
+ "dup_sub": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
+ },
+ "dup_multi": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
+ },
+ "type": "array",
+ "title": "Dup Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["dup_title", "dup_size", "dup_sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList": {
+ "properties": {
+ "dup_name2": {
+ "type": "string",
+ "title": "Dup Name2",
+ }
+ },
+ "type": "object",
+ "required": ["dup_name2"],
+ "title": "ItemInList",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem": {
+ "properties": {
+ "dup_sub_name": {
+ "type": "string",
+ "title": "Dup Sub Name",
+ }
+ },
+ "type": "object",
+ "required": ["dup_sub_name"],
+ "title": "SubItem",
+ },
+ }
+ ),
+ v2=snapshot(
+ {
+ "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post": {
+ "properties": {
+ "data1": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList"
+ },
+ "type": "array",
+ "title": "Data1",
+ },
+ "data2": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList"
+ },
+ "type": "array",
+ "title": "Data2",
+ },
+ },
+ "type": "object",
+ "required": ["data1", "data2"],
+ "title": "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post",
+ },
+ "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post": {
+ "properties": {
+ "item1": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
+ },
+ "item2": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__Item"
+ },
+ },
+ "type": "object",
+ "required": ["item1", "item2"],
+ "title": "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post",
+ },
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "SubItem-Output": {
+ "properties": {
+ "new_sub_name": {
+ "type": "string",
+ "title": "New Sub Name",
+ }
+ },
+ "type": "object",
+ "required": ["new_sub_name"],
+ "title": "SubItem",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [
+ {"type": "string"},
+ {"type": "integer"},
+ ]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv1__Item": {
+ "properties": {
+ "title": {"type": "string", "title": "Title"},
+ "size": {"type": "integer", "title": "Size"},
+ "description": {
+ "type": "string",
+ "title": "Description",
+ },
+ "sub": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
+ },
+ "multi": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
+ },
+ "type": "array",
+ "title": "Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["title", "size", "sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv1__ItemInList": {
+ "properties": {
+ "name1": {"type": "string", "title": "Name1"}
+ },
+ "type": "object",
+ "required": ["name1"],
+ "title": "ItemInList",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"}
+ },
+ "type": "object",
+ "required": ["name"],
+ "title": "SubItem",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__Item": {
+ "properties": {
+ "new_title": {
+ "type": "string",
+ "title": "New Title",
+ },
+ "new_size": {
+ "type": "integer",
+ "title": "New Size",
+ },
+ "new_description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "New Description",
+ },
+ "new_sub": {
+ "$ref": "#/components/schemas/SubItem-Output"
+ },
+ "new_multi": {
+ "items": {
+ "$ref": "#/components/schemas/SubItem-Output"
+ },
+ "type": "array",
+ "title": "New Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["new_title", "new_size", "new_sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input": {
+ "properties": {
+ "new_title": {
+ "type": "string",
+ "title": "New Title",
+ },
+ "new_size": {
+ "type": "integer",
+ "title": "New Size",
+ },
+ "new_description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "New Description",
+ },
+ "new_sub": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
+ },
+ "new_multi": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
+ },
+ "type": "array",
+ "title": "New Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["new_title", "new_size", "new_sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList": {
+ "properties": {
+ "name2": {"type": "string", "title": "Name2"}
+ },
+ "type": "object",
+ "required": ["name2"],
+ "title": "ItemInList",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem": {
+ "properties": {
+ "new_sub_name": {
+ "type": "string",
+ "title": "New Sub Name",
+ }
+ },
+ "type": "object",
+ "required": ["new_sub_name"],
+ "title": "SubItem",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2b__Item": {
+ "properties": {
+ "dup_title": {
+ "type": "string",
+ "title": "Dup Title",
+ },
+ "dup_size": {
+ "type": "integer",
+ "title": "Dup Size",
+ },
+ "dup_description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "Dup Description",
+ },
+ "dup_sub": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
+ },
+ "dup_multi": {
+ "items": {
+ "$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
+ },
+ "type": "array",
+ "title": "Dup Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["dup_title", "dup_size", "dup_sub"],
+ "title": "Item",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList": {
+ "properties": {
+ "dup_name2": {
+ "type": "string",
+ "title": "Dup Name2",
+ }
+ },
+ "type": "object",
+ "required": ["dup_name2"],
+ "title": "ItemInList",
+ },
+ "tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem": {
+ "properties": {
+ "dup_sub_name": {
+ "type": "string",
+ "title": "Dup Sub Name",
+ }
+ },
+ "type": "object",
+ "required": ["dup_sub_name"],
+ "title": "SubItem",
+ },
+ }
+ ),
+ ),
+ },
+ }
+ )
diff --git a/tests/test_pydantic_v1_v2_noneable.py b/tests/test_pydantic_v1_v2_noneable.py
new file mode 100644
index 000000000..d2d6f6635
--- /dev/null
+++ b/tests/test_pydantic_v1_v2_noneable.py
@@ -0,0 +1,766 @@
+import sys
+from typing import Any, List, Union
+
+from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+from fastapi import FastAPI
+from fastapi._compat.v1 import BaseModel
+from fastapi.testclient import TestClient
+from inline_snapshot import snapshot
+from pydantic import BaseModel as NewBaseModel
+
+
+class SubItem(BaseModel):
+ name: str
+
+
+class Item(BaseModel):
+ title: str
+ size: int
+ description: Union[str, None] = None
+ sub: SubItem
+ multi: List[SubItem] = []
+
+
+class NewSubItem(NewBaseModel):
+ new_sub_name: str
+
+
+class NewItem(NewBaseModel):
+ new_title: str
+ new_size: int
+ new_description: Union[str, None] = None
+ new_sub: NewSubItem
+ new_multi: List[NewSubItem] = []
+
+
+app = FastAPI()
+
+
+@app.post("/v1-to-v2/")
+def handle_v1_item_to_v2(data: Item) -> Union[NewItem, None]:
+ if data.size < 0:
+ return None
+ return NewItem(
+ new_title=data.title,
+ new_size=data.size,
+ new_description=data.description,
+ new_sub=NewSubItem(new_sub_name=data.sub.name),
+ new_multi=[NewSubItem(new_sub_name=s.name) for s in data.multi],
+ )
+
+
+@app.post("/v1-to-v2/item-filter", response_model=Union[NewItem, None])
+def handle_v1_item_to_v2_filter(data: Item) -> Any:
+ if data.size < 0:
+ return None
+ result = {
+ "new_title": data.title,
+ "new_size": data.size,
+ "new_description": data.description,
+ "new_sub": {"new_sub_name": data.sub.name, "new_sub_secret": "sub_hidden"},
+ "new_multi": [
+ {"new_sub_name": s.name, "new_sub_secret": "sub_hidden"} for s in data.multi
+ ],
+ "secret": "hidden_v1_to_v2",
+ }
+ return result
+
+
+@app.post("/v2-to-v1/item")
+def handle_v2_item_to_v1(data: NewItem) -> Union[Item, None]:
+ if data.new_size < 0:
+ return None
+ return Item(
+ title=data.new_title,
+ size=data.new_size,
+ description=data.new_description,
+ sub=SubItem(name=data.new_sub.new_sub_name),
+ multi=[SubItem(name=s.new_sub_name) for s in data.new_multi],
+ )
+
+
+@app.post("/v2-to-v1/item-filter", response_model=Union[Item, None])
+def handle_v2_item_to_v1_filter(data: NewItem) -> Any:
+ if data.new_size < 0:
+ return None
+ result = {
+ "title": data.new_title,
+ "size": data.new_size,
+ "description": data.new_description,
+ "sub": {"name": data.new_sub.new_sub_name, "sub_secret": "sub_hidden"},
+ "multi": [
+ {"name": s.new_sub_name, "sub_secret": "sub_hidden"} for s in data.new_multi
+ ],
+ "secret": "hidden_v2_to_v1",
+ }
+ return result
+
+
+client = TestClient(app)
+
+
+def test_v1_to_v2_item_success():
+ response = client.post(
+ "/v1-to-v2/",
+ json={
+ "title": "Old Item",
+ "size": 100,
+ "description": "V1 description",
+ "sub": {"name": "V1 Sub"},
+ "multi": [{"name": "M1"}, {"name": "M2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "new_title": "Old Item",
+ "new_size": 100,
+ "new_description": "V1 description",
+ "new_sub": {"new_sub_name": "V1 Sub"},
+ "new_multi": [{"new_sub_name": "M1"}, {"new_sub_name": "M2"}],
+ }
+
+
+def test_v1_to_v2_item_returns_none():
+ response = client.post(
+ "/v1-to-v2/",
+ json={"title": "Invalid Item", "size": -10, "sub": {"name": "Sub"}},
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() is None
+
+
+def test_v1_to_v2_item_minimal():
+ response = client.post(
+ "/v1-to-v2/", json={"title": "Minimal", "size": 50, "sub": {"name": "MinSub"}}
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "new_title": "Minimal",
+ "new_size": 50,
+ "new_description": None,
+ "new_sub": {"new_sub_name": "MinSub"},
+ "new_multi": [],
+ }
+
+
+def test_v1_to_v2_item_filter_success():
+ response = client.post(
+ "/v1-to-v2/item-filter",
+ json={
+ "title": "Filtered Item",
+ "size": 50,
+ "sub": {"name": "Sub"},
+ "multi": [{"name": "Multi1"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result["new_title"] == "Filtered Item"
+ assert result["new_size"] == 50
+ assert result["new_sub"]["new_sub_name"] == "Sub"
+ assert result["new_multi"][0]["new_sub_name"] == "Multi1"
+ # Verify secret fields are filtered out
+ assert "secret" not in result
+ assert "new_sub_secret" not in result["new_sub"]
+ assert "new_sub_secret" not in result["new_multi"][0]
+
+
+def test_v1_to_v2_item_filter_returns_none():
+ response = client.post(
+ "/v1-to-v2/item-filter",
+ json={"title": "Invalid", "size": -1, "sub": {"name": "Sub"}},
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() is None
+
+
+def test_v2_to_v1_item_success():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "New Item",
+ "new_size": 200,
+ "new_description": "V2 description",
+ "new_sub": {"new_sub_name": "V2 Sub"},
+ "new_multi": [{"new_sub_name": "N1"}, {"new_sub_name": "N2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "New Item",
+ "size": 200,
+ "description": "V2 description",
+ "sub": {"name": "V2 Sub"},
+ "multi": [{"name": "N1"}, {"name": "N2"}],
+ }
+
+
+def test_v2_to_v1_item_returns_none():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "Invalid New",
+ "new_size": -5,
+ "new_sub": {"new_sub_name": "NewSub"},
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() is None
+
+
+def test_v2_to_v1_item_minimal():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "MinimalNew",
+ "new_size": 75,
+ "new_sub": {"new_sub_name": "MinNewSub"},
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "title": "MinimalNew",
+ "size": 75,
+ "description": None,
+ "sub": {"name": "MinNewSub"},
+ "multi": [],
+ }
+
+
+def test_v2_to_v1_item_filter_success():
+ response = client.post(
+ "/v2-to-v1/item-filter",
+ json={
+ "new_title": "Filtered New",
+ "new_size": 75,
+ "new_sub": {"new_sub_name": "NewSub"},
+ "new_multi": [],
+ },
+ )
+ assert response.status_code == 200, response.text
+ result = response.json()
+ assert result["title"] == "Filtered New"
+ assert result["size"] == 75
+ assert result["sub"]["name"] == "NewSub"
+ # Verify secret fields are filtered out
+ assert "secret" not in result
+ assert "sub_secret" not in result["sub"]
+
+
+def test_v2_to_v1_item_filter_returns_none():
+ response = client.post(
+ "/v2-to-v1/item-filter",
+ json={
+ "new_title": "Invalid Filtered",
+ "new_size": -100,
+ "new_sub": {"new_sub_name": "Sub"},
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() is None
+
+
+def test_v1_to_v2_validation_error():
+ response = client.post("/v1-to-v2/", json={"title": "Missing fields"})
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ {
+ "loc": ["body", "size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ {
+ "loc": ["body", "sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ ]
+ }
+ )
+
+
+def test_v1_to_v2_nested_validation_error():
+ response = client.post(
+ "/v1-to-v2/",
+ json={"title": "Bad sub", "size": 100, "sub": {"wrong_field": "value"}},
+ )
+ assert response.status_code == 422, response.text
+ error_detail = response.json()["detail"]
+ assert len(error_detail) == 1
+ assert error_detail[0]["loc"] == ["body", "sub", "name"]
+
+
+def test_v1_to_v2_type_validation_error():
+ response = client.post(
+ "/v1-to-v2/",
+ json={"title": "Bad type", "size": "not_a_number", "sub": {"name": "Sub"}},
+ )
+ assert response.status_code == 422, response.text
+ error_detail = response.json()["detail"]
+ assert len(error_detail) == 1
+ assert error_detail[0]["loc"] == ["body", "size"]
+
+
+def test_v2_to_v1_validation_error():
+ response = client.post("/v2-to-v1/item", json={"new_title": "Missing fields"})
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": pydantic_snapshot(
+ v2=snapshot(
+ [
+ {
+ "type": "missing",
+ "loc": ["body", "new_size"],
+ "msg": "Field required",
+ "input": {"new_title": "Missing fields"},
+ },
+ {
+ "type": "missing",
+ "loc": ["body", "new_sub"],
+ "msg": "Field required",
+ "input": {"new_title": "Missing fields"},
+ },
+ ]
+ ),
+ v1=snapshot(
+ [
+ {
+ "loc": ["body", "new_size"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ {
+ "loc": ["body", "new_sub"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ },
+ ]
+ ),
+ )
+ }
+ )
+
+
+def test_v2_to_v1_nested_validation_error():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "Bad sub",
+ "new_size": 200,
+ "new_sub": {"wrong_field": "value"},
+ },
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ pydantic_snapshot(
+ v2=snapshot(
+ {
+ "type": "missing",
+ "loc": ["body", "new_sub", "new_sub_name"],
+ "msg": "Field required",
+ "input": {"wrong_field": "value"},
+ }
+ ),
+ v1=snapshot(
+ {
+ "loc": ["body", "new_sub", "new_sub_name"],
+ "msg": "field required",
+ "type": "value_error.missing",
+ }
+ ),
+ )
+ ]
+ }
+ )
+
+
+def test_v2_to_v1_type_validation_error():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "Bad type",
+ "new_size": "not_a_number",
+ "new_sub": {"new_sub_name": "Sub"},
+ },
+ )
+ assert response.status_code == 422, response.text
+ assert response.json() == snapshot(
+ {
+ "detail": [
+ pydantic_snapshot(
+ v2=snapshot(
+ {
+ "type": "int_parsing",
+ "loc": ["body", "new_size"],
+ "msg": "Input should be a valid integer, unable to parse string as an integer",
+ "input": "not_a_number",
+ }
+ ),
+ v1=snapshot(
+ {
+ "loc": ["body", "new_size"],
+ "msg": "value is not a valid integer",
+ "type": "type_error.integer",
+ }
+ ),
+ )
+ ]
+ }
+ )
+
+
+def test_v1_to_v2_with_multi_items():
+ response = client.post(
+ "/v1-to-v2/",
+ json={
+ "title": "Complex Item",
+ "size": 300,
+ "description": "Item with multiple sub-items",
+ "sub": {"name": "Main Sub"},
+ "multi": [{"name": "Sub1"}, {"name": "Sub2"}, {"name": "Sub3"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "new_title": "Complex Item",
+ "new_size": 300,
+ "new_description": "Item with multiple sub-items",
+ "new_sub": {"new_sub_name": "Main Sub"},
+ "new_multi": [
+ {"new_sub_name": "Sub1"},
+ {"new_sub_name": "Sub2"},
+ {"new_sub_name": "Sub3"},
+ ],
+ }
+ )
+
+
+def test_v2_to_v1_with_multi_items():
+ response = client.post(
+ "/v2-to-v1/item",
+ json={
+ "new_title": "Complex New Item",
+ "new_size": 400,
+ "new_description": "New item with multiple sub-items",
+ "new_sub": {"new_sub_name": "Main New Sub"},
+ "new_multi": [{"new_sub_name": "NewSub1"}, {"new_sub_name": "NewSub2"}],
+ },
+ )
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "title": "Complex New Item",
+ "size": 400,
+ "description": "New item with multiple sub-items",
+ "sub": {"name": "Main New Sub"},
+ "multi": [{"name": "NewSub1"}, {"name": "NewSub2"}],
+ }
+ )
+
+
+def test_openapi_schema():
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/v1-to-v2/": {
+ "post": {
+ "summary": "Handle V1 Item To V2",
+ "operationId": "handle_v1_item_to_v2_v1_to_v2__post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "anyOf": [
+ {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ {"type": "null"},
+ ],
+ "title": "Response Handle V1 Item To V2 V1 To V2 Post",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/NewItem"}
+ ),
+ )
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v1-to-v2/item-filter": {
+ "post": {
+ "summary": "Handle V1 Item To V2 Filter",
+ "operationId": "handle_v1_item_to_v2_filter_v1_to_v2_item_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Item"
+ }
+ ],
+ "title": "Data",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/Item"}
+ ),
+ )
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "anyOf": [
+ {
+ "$ref": "#/components/schemas/NewItem"
+ },
+ {"type": "null"},
+ ],
+ "title": "Response Handle V1 Item To V2 Filter V1 To V2 Item Filter Post",
+ }
+ ),
+ v1=snapshot(
+ {"$ref": "#/components/schemas/NewItem"}
+ ),
+ )
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item": {
+ "post": {
+ "summary": "Handle V2 Item To V1",
+ "operationId": "handle_v2_item_to_v1_v2_to_v1_item_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/NewItem"}
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ "/v2-to-v1/item-filter": {
+ "post": {
+ "summary": "Handle V2 Item To V1 Filter",
+ "operationId": "handle_v2_item_to_v1_filter_v2_to_v1_item_filter_post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/NewItem"}
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ },
+ },
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "title": {"type": "string", "title": "Title"},
+ "size": {"type": "integer", "title": "Size"},
+ "description": {"type": "string", "title": "Description"},
+ "sub": {"$ref": "#/components/schemas/SubItem"},
+ "multi": {
+ "items": {"$ref": "#/components/schemas/SubItem"},
+ "type": "array",
+ "title": "Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["title", "size", "sub"],
+ "title": "Item",
+ },
+ "NewItem": {
+ "properties": {
+ "new_title": {"type": "string", "title": "New Title"},
+ "new_size": {"type": "integer", "title": "New Size"},
+ "new_description": pydantic_snapshot(
+ v2=snapshot(
+ {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "New Description",
+ }
+ ),
+ v1=snapshot(
+ {"type": "string", "title": "New Description"}
+ ),
+ ),
+ "new_sub": {"$ref": "#/components/schemas/NewSubItem"},
+ "new_multi": {
+ "items": {"$ref": "#/components/schemas/NewSubItem"},
+ "type": "array",
+ "title": "New Multi",
+ "default": [],
+ },
+ },
+ "type": "object",
+ "required": ["new_title", "new_size", "new_sub"],
+ "title": "NewItem",
+ },
+ "NewSubItem": {
+ "properties": {
+ "new_sub_name": {"type": "string", "title": "New Sub Name"}
+ },
+ "type": "object",
+ "required": ["new_sub_name"],
+ "title": "NewSubItem",
+ },
+ "SubItem": {
+ "properties": {"name": {"type": "string", "title": "Name"}},
+ "type": "object",
+ "required": ["name"],
+ "title": "SubItem",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_response_model_as_return_annotation.py b/tests/test_response_model_as_return_annotation.py
index 6948430a1..1745c69b6 100644
--- a/tests/test_response_model_as_return_annotation.py
+++ b/tests/test_response_model_as_return_annotation.py
@@ -7,6 +7,8 @@ from fastapi.responses import JSONResponse, Response
from fastapi.testclient import TestClient
from pydantic import BaseModel
+from tests.utils import needs_pydanticv1
+
class BaseUser(BaseModel):
name: str
@@ -509,6 +511,26 @@ def test_invalid_response_model_field():
assert "parameter response_model=None" in e.value.args[0]
+# TODO: remove when dropping Pydantic v1 support
+@needs_pydanticv1
+def test_invalid_response_model_field_pv1():
+ from fastapi._compat import v1
+
+ app = FastAPI()
+
+ class Model(v1.BaseModel):
+ foo: str
+
+ with pytest.raises(FastAPIError) as e:
+
+ @app.get("/")
+ def read_root() -> Union[Response, Model, None]:
+ return Response(content="Foo") # pragma: no cover
+
+ assert "valid Pydantic field type" in e.value.args[0]
+ assert "parameter response_model=None" in e.value.args[0]
+
+
def test_openapi_schema():
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
diff --git a/tests/test_tutorial/test_pydantic_v1_in_v2/__init__.py b/tests/test_tutorial/test_pydantic_v1_in_v2/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial001.py b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial001.py
new file mode 100644
index 000000000..3075a05f5
--- /dev/null
+++ b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial001.py
@@ -0,0 +1,37 @@
+import sys
+from typing import Any
+
+import pytest
+from fastapi._compat import PYDANTIC_V2
+
+from tests.utils import skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+
+if not PYDANTIC_V2:
+ pytest.skip("This test is only for Pydantic v2", allow_module_level=True)
+
+import importlib
+
+import pytest
+
+from ...utils import needs_py310
+
+
+@pytest.fixture(
+ name="mod",
+ params=[
+ "tutorial001_an",
+ pytest.param("tutorial001_an_py310", marks=needs_py310),
+ ],
+)
+def get_mod(request: pytest.FixtureRequest):
+ mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
+ return mod
+
+
+def test_model(mod: Any):
+ item = mod.Item(name="Foo", size=3.4)
+ assert item.dict() == {"name": "Foo", "description": None, "size": 3.4}
diff --git a/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial002.py b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial002.py
new file mode 100644
index 000000000..a402c663d
--- /dev/null
+++ b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial002.py
@@ -0,0 +1,140 @@
+import sys
+
+import pytest
+from fastapi._compat import PYDANTIC_V2
+from inline_snapshot import snapshot
+
+from tests.utils import skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+
+if not PYDANTIC_V2:
+ pytest.skip("This test is only for Pydantic v2", allow_module_level=True)
+
+import importlib
+
+import pytest
+from fastapi.testclient import TestClient
+
+from ...utils import needs_py310
+
+
+@pytest.fixture(
+ name="client",
+ params=[
+ "tutorial002_an",
+ pytest.param("tutorial002_an_py310", marks=needs_py310),
+ ],
+)
+def get_client(request: pytest.FixtureRequest):
+ mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
+
+ c = TestClient(mod.app)
+ return c
+
+
+def test_call(client: TestClient):
+ response = client.post("/items/", json={"name": "Foo", "size": 3.4})
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "name": "Foo",
+ "description": None,
+ "size": 3.4,
+ }
+
+
+def test_openapi_schema(client: TestClient):
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/items/": {
+ "post": {
+ "summary": "Create Item",
+ "operationId": "create_item_items__post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "allOf": [
+ {"$ref": "#/components/schemas/Item"}
+ ],
+ "title": "Item",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ }
+ },
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "description": {"type": "string", "title": "Description"},
+ "size": {"type": "number", "title": "Size"},
+ },
+ "type": "object",
+ "required": ["name", "size"],
+ "title": "Item",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial003.py b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial003.py
new file mode 100644
index 000000000..03155c924
--- /dev/null
+++ b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial003.py
@@ -0,0 +1,154 @@
+import sys
+
+import pytest
+from fastapi._compat import PYDANTIC_V2
+from inline_snapshot import snapshot
+
+from tests.utils import skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+if not PYDANTIC_V2:
+ pytest.skip("This test is only for Pydantic v2", allow_module_level=True)
+
+
+import importlib
+
+from fastapi.testclient import TestClient
+
+from ...utils import needs_py310
+
+
+@pytest.fixture(
+ name="client",
+ params=[
+ "tutorial003_an",
+ pytest.param("tutorial003_an_py310", marks=needs_py310),
+ ],
+)
+def get_client(request: pytest.FixtureRequest):
+ mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
+
+ c = TestClient(mod.app)
+ return c
+
+
+def test_call(client: TestClient):
+ response = client.post("/items/", json={"name": "Foo", "size": 3.4})
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "name": "Foo",
+ "description": None,
+ "size": 3.4,
+ }
+
+
+def test_openapi_schema(client: TestClient):
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/items/": {
+ "post": {
+ "summary": "Create Item",
+ "operationId": "create_item_items__post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "allOf": [
+ {"$ref": "#/components/schemas/Item"}
+ ],
+ "title": "Item",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/ItemV2"
+ }
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ }
+ },
+ "components": {
+ "schemas": {
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "description": {"type": "string", "title": "Description"},
+ "size": {"type": "number", "title": "Size"},
+ },
+ "type": "object",
+ "required": ["name", "size"],
+ "title": "Item",
+ },
+ "ItemV2": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "description": {
+ "anyOf": [{"type": "string"}, {"type": "null"}],
+ "title": "Description",
+ },
+ "size": {"type": "number", "title": "Size"},
+ },
+ "type": "object",
+ "required": ["name", "size"],
+ "title": "ItemV2",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial004.py b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial004.py
new file mode 100644
index 000000000..d2e204dda
--- /dev/null
+++ b/tests/test_tutorial/test_pydantic_v1_in_v2/test_tutorial004.py
@@ -0,0 +1,153 @@
+import sys
+
+import pytest
+from fastapi._compat import PYDANTIC_V2
+from inline_snapshot import snapshot
+
+from tests.utils import skip_module_if_py_gte_314
+
+if sys.version_info >= (3, 14):
+ skip_module_if_py_gte_314()
+
+if not PYDANTIC_V2:
+ pytest.skip("This test is only for Pydantic v2", allow_module_level=True)
+
+
+import importlib
+
+from fastapi.testclient import TestClient
+
+from ...utils import needs_py39, needs_py310
+
+
+@pytest.fixture(
+ name="client",
+ params=[
+ "tutorial004_an",
+ pytest.param("tutorial004_an_py39", marks=needs_py39),
+ pytest.param("tutorial004_an_py310", marks=needs_py310),
+ ],
+)
+def get_client(request: pytest.FixtureRequest):
+ mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
+
+ c = TestClient(mod.app)
+ return c
+
+
+def test_call(client: TestClient):
+ response = client.post("/items/", json={"item": {"name": "Foo", "size": 3.4}})
+ assert response.status_code == 200, response.text
+ assert response.json() == {
+ "name": "Foo",
+ "description": None,
+ "size": 3.4,
+ }
+
+
+def test_openapi_schema(client: TestClient):
+ response = client.get("/openapi.json")
+ assert response.status_code == 200, response.text
+ assert response.json() == snapshot(
+ {
+ "openapi": "3.1.0",
+ "info": {"title": "FastAPI", "version": "0.1.0"},
+ "paths": {
+ "/items/": {
+ "post": {
+ "summary": "Create Item",
+ "operationId": "create_item_items__post",
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "allOf": [
+ {
+ "$ref": "#/components/schemas/Body_create_item_items__post"
+ }
+ ],
+ "title": "Body",
+ }
+ }
+ },
+ "required": True,
+ },
+ "responses": {
+ "200": {
+ "description": "Successful Response",
+ "content": {
+ "application/json": {
+ "schema": {"$ref": "#/components/schemas/Item"}
+ }
+ },
+ },
+ "422": {
+ "description": "Validation Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/HTTPValidationError"
+ }
+ }
+ },
+ },
+ },
+ }
+ }
+ },
+ "components": {
+ "schemas": {
+ "Body_create_item_items__post": {
+ "properties": {
+ "item": {
+ "allOf": [{"$ref": "#/components/schemas/Item"}],
+ "title": "Item",
+ }
+ },
+ "type": "object",
+ "required": ["item"],
+ "title": "Body_create_item_items__post",
+ },
+ "HTTPValidationError": {
+ "properties": {
+ "detail": {
+ "items": {
+ "$ref": "#/components/schemas/ValidationError"
+ },
+ "type": "array",
+ "title": "Detail",
+ }
+ },
+ "type": "object",
+ "title": "HTTPValidationError",
+ },
+ "Item": {
+ "properties": {
+ "name": {"type": "string", "title": "Name"},
+ "description": {"type": "string", "title": "Description"},
+ "size": {"type": "number", "title": "Size"},
+ },
+ "type": "object",
+ "required": ["name", "size"],
+ "title": "Item",
+ },
+ "ValidationError": {
+ "properties": {
+ "loc": {
+ "items": {
+ "anyOf": [{"type": "string"}, {"type": "integer"}]
+ },
+ "type": "array",
+ "title": "Location",
+ },
+ "msg": {"type": "string", "title": "Message"},
+ "type": {"type": "string", "title": "Error Type"},
+ },
+ "type": "object",
+ "required": ["loc", "msg", "type"],
+ "title": "ValidationError",
+ },
+ }
+ },
+ }
+ )
diff --git a/tests/utils.py b/tests/utils.py
index ae9543e3b..691e92bbf 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -8,10 +8,19 @@ needs_py39 = pytest.mark.skipif(sys.version_info < (3, 9), reason="requires pyth
needs_py310 = pytest.mark.skipif(
sys.version_info < (3, 10), reason="requires python3.10+"
)
+needs_py_lt_314 = pytest.mark.skipif(
+ sys.version_info > (3, 13), reason="requires python3.13-"
+)
needs_pydanticv2 = pytest.mark.skipif(not PYDANTIC_V2, reason="requires Pydantic v2")
needs_pydanticv1 = pytest.mark.skipif(PYDANTIC_V2, reason="requires Pydantic v1")
+def skip_module_if_py_gte_314():
+ """Skip entire module on Python 3.14+ at import time."""
+ if sys.version_info >= (3, 14):
+ pytest.skip("requires python3.13-", allow_module_level=True)
+
+
def pydantic_snapshot(
*,
v2: Snapshot,