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Author SHA1 Message Date
github-actions[bot]
2b212ddd76 📝 Update release notes
[skip ci]
2025-12-24 10:28:45 +00:00
Nils-Hero Lindemann
7203e860b3 🌐 Update translations for de (update-outdated) (#14581)
* Sync with #14575 (Drop support for Pydantic v1)

* Add a word and fix a typo

Found while syncing.
2025-12-24 11:28:19 +01:00
github-actions[bot]
e55f223b46 📝 Update release notes
[skip ci]
2025-12-23 11:17:37 +00:00
Sebastián Ramírez
a329baaa54 👷 Update secrets check (#14592) 2025-12-23 11:17:16 +00:00
github-actions[bot]
a7a0aee984 📝 Update release notes
[skip ci]
2025-12-21 17:52:08 +00:00
Sebastián Ramírez
6539b80d9f 👷 Run CodSpeed tests in parallel to other tests to speed up CI (#14586) 2025-12-21 18:51:45 +01:00
github-actions[bot]
e1bd9f3e33 📝 Update release notes
[skip ci]
2025-12-21 17:40:41 +00:00
Sebastián Ramírez
b9b2793bda 🔨 Update scripts and pre-commit to autofix files (#14585) 2025-12-21 17:40:17 +00:00
Sebastián Ramírez
c4a1ab5036 🔖 Release version 0.127.0 2025-12-21 17:45:43 +01:00
github-actions[bot]
22c7200ebb 📝 Update release notes
[skip ci]
2025-12-21 16:44:32 +00:00
Sebastián Ramírez
6e42bcd8ce 🔊 Add deprecation warnings when using pydantic.v1 (#14583) 2025-12-21 17:44:10 +01:00
github-actions[bot]
6513d4daa1 📝 Update release notes
[skip ci]
2025-12-21 08:06:42 +00:00
Sebastián Ramírez
1d93d531bc ⬆️ Upgrade OpenAI model for translations to gpt-5.2 (#14579) 2025-12-21 08:06:22 +00:00
github-actions[bot]
c2c1cc8aec 📝 Update release notes
[skip ci]
2025-12-20 17:32:31 +00:00
Sebastián Ramírez
5289259275 🔧 Add LLM prompt file for Korean, generated from the existing translations (#14546)
Co-authored-by: hy.lee <rurouni24@gmail.com>
2025-12-20 18:32:05 +01:00
github-actions[bot]
5783910d0c 📝 Update release notes
[skip ci]
2025-12-20 17:31:11 +00:00
Sebastián Ramírez
026b43e5d3 🔧 Add LLM prompt file for Japanese, generated from the existing translations (#14545)
Co-authored-by: Maruo.S <raspi-maru2004@outlook.jp>
2025-12-20 18:30:52 +01:00
40 changed files with 969 additions and 805 deletions

View File

@@ -60,8 +60,6 @@ jobs:
pyproject.toml
- name: Install docs extras
run: uv pip install -r requirements-docs.txt
- name: Verify Docs
run: python ./scripts/docs.py verify-docs
- name: Export Language Codes
id: show-langs
run: |

View File

@@ -7,7 +7,8 @@ on:
- synchronize
env:
IS_FORK: ${{ github.event.pull_request.head.repo.full_name != github.repository }}
# Forks and Dependabot don't have access to secrets
HAS_SECRETS: ${{ secrets.PRE_COMMIT != '' }}
jobs:
pre-commit:
@@ -19,7 +20,7 @@ jobs:
run: echo "$GITHUB_CONTEXT"
- uses: actions/checkout@v5
name: Checkout PR for own repo
if: env.IS_FORK == 'false'
if: env.HAS_SECRETS == 'true'
with:
# To be able to commit it needs to fetch the head of the branch, not the
# merge commit
@@ -31,7 +32,7 @@ jobs:
# pre-commit lite ci needs the default checkout configs to work
- uses: actions/checkout@v5
name: Checkout PR for fork
if: env.IS_FORK == 'true'
if: env.HAS_SECRETS == 'false'
with:
# To be able to commit it needs the head branch of the PR, the remote one
ref: ${{ github.event.pull_request.head.sha }}
@@ -56,7 +57,7 @@ jobs:
run: uvx prek run --from-ref origin/${GITHUB_BASE_REF} --to-ref HEAD --show-diff-on-failure
continue-on-error: true
- name: Commit and push changes
if: env.IS_FORK == 'false'
if: env.HAS_SECRETS == 'true'
run: |
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
@@ -68,7 +69,7 @@ jobs:
git push
fi
- uses: pre-commit-ci/lite-action@v1.1.0
if: env.IS_FORK == 'true'
if: env.HAS_SECRETS == 'false'
with:
msg: 🎨 Auto format
- name: Error out on pre-commit errors

View File

@@ -54,10 +54,14 @@ jobs:
- os: windows-latest
python-version: "3.12"
coverage: coverage
# Ubuntu with 3.13 needs coverage for CodSpeed benchmarks
- os: ubuntu-latest
python-version: "3.13"
coverage: coverage
# Ubuntu with 3.13 needs coverage for CodSpeed benchmarks
- os: ubuntu-latest
python-version: "3.13"
coverage: coverage
codspeed: codspeed
- os: ubuntu-latest
python-version: "3.14"
coverage: coverage
@@ -85,12 +89,13 @@ jobs:
run: uv pip install -r requirements-tests.txt
- run: mkdir coverage
- name: Test
if: matrix.codspeed != 'codspeed'
run: bash scripts/test.sh
env:
COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}
CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}
- name: CodSpeed benchmarks
if: matrix.os == 'ubuntu-latest' && matrix.python-version == '3.13'
if: matrix.codspeed == 'codspeed'
uses: CodSpeedHQ/action@v4
env:
COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}

View File

@@ -21,10 +21,28 @@ repos:
- id: ruff-format
- repo: local
hooks:
- id: local-script
- id: add-permalinks-pages
language: unsupported
name: local script
name: add-permalinks-pages
entry: uv run ./scripts/docs.py add-permalinks-pages
args:
- --update-existing
files: ^docs/en/docs/.*\.md$
- id: generate-readme
language: unsupported
name: generate README.md from index.md
entry: uv run ./scripts/docs.py generate-readme
files: ^docs/en/docs/index\.md|docs/en/data/sponsors\.yml|scripts/docs\.py$
pass_filenames: false
- id: update-languages
language: unsupported
name: update languages
entry: uv run ./scripts/docs.py update-languages
files: ^docs/.*|scripts/docs\.py$
pass_filenames: false
- id: ensure-non-translated
language: unsupported
name: ensure non-translated files are not modified
entry: uv run ./scripts/docs.py ensure-non-translated
files: ^docs/(?!en/).*|^scripts/docs\.py$
pass_filenames: false

View File

@@ -48,7 +48,7 @@ Sie können die verwendeten Zeilen aus dem Docstring einer *Pfadoperation-Funkti
Das Hinzufügen eines `\f` (ein maskiertes „Form Feed“-Zeichen) führt dazu, dass **FastAPI** die für OpenAPI verwendete Ausgabe an dieser Stelle abschneidet.
Sie wird nicht in der Dokumentation angezeigt, aber andere Tools (z. B. Sphinx) können den Rest verwenden.
Sie wird nicht in der Dokumentation angezeigt, aber andere Tools (wie z. B. Sphinx) können den Rest verwenden.
{* ../../docs_src/path_operation_advanced_configuration/tutorial004_py310.py hl[17:27] *}
@@ -153,48 +153,16 @@ Und Sie könnten dies auch tun, wenn der Datentyp im Request nicht JSON ist.
In der folgenden Anwendung verwenden wir beispielsweise weder die integrierte Funktionalität von FastAPI zum Extrahieren des JSON-Schemas aus Pydantic-Modellen noch die automatische Validierung für JSON. Tatsächlich deklarieren wir den Request-Content-Type als YAML und nicht als JSON:
//// tab | Pydantic v2
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}
////
//// tab | Pydantic v1
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1_py39.py hl[15:20, 22] *}
////
/// info | Info
In Pydantic Version 1 hieß die Methode zum Abrufen des JSON-Schemas für ein Modell `Item.schema()`, in Pydantic Version 2 heißt die Methode `Item.model_json_schema()`.
///
Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.
Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, den Request-Payload als JSON zu parsen.
Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, die Request-Payload als JSON zu parsen.
Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:
//// tab | Pydantic v2
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[24:31] *}
////
//// tab | Pydantic v1
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1_py39.py hl[24:31] *}
////
/// info | Info
In Pydantic Version 1 war die Methode zum Parsen und Validieren eines Objekts `Item.parse_obj()`, in Pydantic Version 2 heißt die Methode `Item.model_validate()`.
///
/// tip | Tipp
Hier verwenden wir dasselbe Pydantic-Modell wieder.

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@@ -60,24 +60,8 @@ Auf die gleiche Weise wie bei Pydantic-Modellen deklarieren Sie Klassenattribute
Sie können dieselben Validierungs-Funktionen und -Tools verwenden, die Sie für Pydantic-Modelle verwenden, z. B. verschiedene Datentypen und zusätzliche Validierungen mit `Field()`.
//// tab | Pydantic v2
{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}
////
//// tab | Pydantic v1
/// info | Info
In Pydantic v1 würden Sie `BaseSettings` direkt von `pydantic` statt von `pydantic_settings` importieren.
///
{* ../../docs_src/settings/tutorial001_pv1_py39.py hl[2,5:8,11] *}
////
/// tip | Tipp
Für ein schnelles Copy-and-paste verwenden Sie nicht dieses Beispiel, sondern das letzte unten.
@@ -215,8 +199,6 @@ APP_NAME="ChimichangApp"
Und dann aktualisieren Sie Ihre `config.py` mit:
//// tab | Pydantic v2
{* ../../docs_src/settings/app03_an_py39/config.py hl[9] *}
/// tip | Tipp
@@ -225,26 +207,6 @@ Das Attribut `model_config` wird nur für die Pydantic-Konfiguration verwendet.
///
////
//// tab | Pydantic v1
{* ../../docs_src/settings/app03_an_py39/config_pv1.py hl[9:10] *}
/// tip | Tipp
Die Klasse `Config` wird nur für die Pydantic-Konfiguration verwendet. Weitere Informationen finden Sie unter <a href="https://docs.pydantic.dev/1.10/usage/model_config/" class="external-link" target="_blank">Pydantic Model Config</a>.
///
////
/// info | Info
In Pydantic Version 1 erfolgte die Konfiguration in einer internen Klasse `Config`, in Pydantic Version 2 erfolgt sie in einem Attribut `model_config`. Dieses Attribut akzeptiert ein <abbr title="Dictionary Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr>. Um automatische Codevervollständigung und Inline-Fehlerberichte zu erhalten, können Sie `SettingsConfigDict` importieren und verwenden, um dieses `dict` zu definieren.
///
Hier definieren wir die Konfiguration `env_file` innerhalb Ihrer Pydantic-`Settings`-Klasse und setzen den Wert auf den Dateinamen mit der dotenv-Datei, die wir verwenden möchten.
### Die `Settings` nur einmal laden mittels `lru_cache` { #creating-the-settings-only-once-with-lru-cache }

View File

@@ -2,21 +2,23 @@
Wenn Sie eine ältere FastAPI-App haben, nutzen Sie möglicherweise Pydantic Version 1.
FastAPI unterstützt seit Version 0.100.0 sowohl Pydantic v1 als auch v2.
FastAPI Version 0.100.0 unterstützte sowohl Pydantic v1 als auch v2. Es verwendete, was auch immer Sie installiert hatten.
Wenn Sie Pydantic v2 installiert hatten, wurde dieses verwendet. Wenn stattdessen Pydantic v1 installiert war, wurde jenes verwendet.
FastAPI Version 0.119.0 führte eine teilweise Unterstützung für Pydantic v1 innerhalb von Pydantic v2 (als `pydantic.v1`) ein, um die Migration zu v2 zu erleichtern.
Pydantic v1 ist jetzt deprecatet und die Unterstützung dafür wird in den nächsten Versionen von FastAPI entfernt, Sie sollten also zu **Pydantic v2 migrieren**. Auf diese Weise erhalten Sie die neuesten Features, Verbesserungen und Fixes.
FastAPI 0.126.0 entfernte die Unterstützung für Pydantic v1, während `pydantic.v1` noch eine Weile unterstützt wurde.
/// warning | Achtung
Außerdem hat das Pydantic-Team die Unterstützung für Pydantic v1 in den neuesten Python-Versionen eingestellt, beginnend mit **Python 3.14**.
Das Pydantic-Team hat die Unterstützung für Pydantic v1 in den neuesten Python-Versionen eingestellt, beginnend mit **Python 3.14**.
Dies schließt `pydantic.v1` ein, das unter Python 3.14 und höher nicht mehr unterstützt wird.
Wenn Sie die neuesten Features von Python nutzen möchten, müssen Sie sicherstellen, dass Sie Pydantic v2 verwenden.
///
Wenn Sie eine ältere FastAPI-App mit Pydantic v1 haben, zeige ich Ihnen hier, wie Sie sie zu Pydantic v2 migrieren, und die **neuen Features in FastAPI 0.119.0**, die Ihnen bei einer schrittweisen Migration helfen.
Wenn Sie eine ältere FastAPI-App mit Pydantic v1 haben, zeige ich Ihnen hier, wie Sie sie zu Pydantic v2 migrieren, und die **Features in FastAPI 0.119.0**, die Ihnen bei einer schrittweisen Migration helfen.
## Offizieller Leitfaden { #official-guide }
@@ -44,7 +46,7 @@ Danach können Sie die Tests ausführen und prüfen, ob alles funktioniert. Fall
## Pydantic v1 in v2 { #pydantic-v1-in-v2 }
Pydantic v2 enthält alles aus Pydantic v1 als Untermodul `pydantic.v1`.
Pydantic v2 enthält alles aus Pydantic v1 als Untermodul `pydantic.v1`. Dies wird aber in Versionen oberhalb von Python 3.13 nicht mehr unterstützt.
Das bedeutet, Sie können die neueste Version von Pydantic v2 installieren und die alten Pydanticv1Komponenten aus diesem Untermodul importieren und verwenden, als hätten Sie das alte Pydantic v1 installiert.

View File

@@ -1,6 +1,6 @@
# Separate OpenAPI-Schemas für Eingabe und Ausgabe oder nicht { #separate-openapi-schemas-for-input-and-output-or-not }
Bei Verwendung von **Pydantic v2** ist die generierte OpenAPI etwas genauer und **korrekter** als zuvor. 😎
Seit der Veröffentlichung von **Pydantic v2** ist die generierte OpenAPI etwas genauer und **korrekter** als zuvor. 😎
Tatsächlich gibt es in einigen Fällen sogar **zwei JSON-Schemas** in OpenAPI für dasselbe Pydantic-Modell, für Eingabe und Ausgabe, je nachdem, ob sie **Defaultwerte** haben.
@@ -100,5 +100,3 @@ Und jetzt wird es ein einziges Schema für die Eingabe und Ausgabe des Modells g
<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image05.png">
</div>
Dies ist das gleiche Verhalten wie in Pydantic v1. 🤓

View File

@@ -50,14 +50,6 @@ Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter
Wie in `item.model_dump(exclude_unset=True)`.
/// info | Info
In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie <abbr title="veraltet, obsolet: Es soll nicht mehr verwendet werden">deprecatet</abbr> (aber immer noch unterstützt) und in `.model_dump()` umbenannt.
Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.
///
Das wird ein <abbr title="Dictionary Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> erstellen, mit nur den Daten, die gesetzt wurden, als das `item`-Modell erstellt wurde, Defaultwerte ausgeschlossen.
Sie können das verwenden, um ein `dict` zu erstellen, das nur die (im <abbr title="Request Anfrage: Daten, die der Client zum Server sendet">Request</abbr>) gesendeten Daten enthält, ohne Defaultwerte:
@@ -68,14 +60,6 @@ Sie können das verwenden, um ein `dict` zu erstellen, das nur die (im <abbr tit
Jetzt können Sie eine Kopie des existierenden Modells mittels `.model_copy()` erstellen, wobei Sie dem `update`-Parameter ein `dict` mit den zu ändernden Daten übergeben.
/// info | Info
In Pydantic v1 hieß diese Methode `.copy()`, in Pydantic v2 wurde sie <abbr title="veraltet, obsolet: Es soll nicht mehr verwendet werden">deprecatet</abbr> (aber immer noch unterstützt) und in `.model_copy()` umbenannt.
Die Beispiele hier verwenden `.copy()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_copy()` verwenden, wenn Sie Pydantic v2 verwenden können.
///
Wie in `stored_item_model.model_copy(update=update_data)`:
{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

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@@ -127,14 +127,6 @@ Innerhalb der Funktion können Sie alle Attribute des Modellobjekts direkt verwe
{* ../../docs_src/body/tutorial002_py310.py *}
/// info | Info
In Pydantic v1 hieß die Methode `.dict()`, sie wurde in Pydantic v2 deprecatet (aber weiterhin unterstützt) und in `.model_dump()` umbenannt.
Die Beispiele hier verwenden `.dict()` zur Kompatibilität mit Pydantic v1, aber Sie sollten stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 nutzen können.
///
## Requestbody- + Pfad-Parameter { #request-body-path-parameters }
Sie können Pfad-Parameter und den Requestbody gleichzeitig deklarieren.

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@@ -22,21 +22,13 @@ Hier ist eine allgemeine Idee, wie die Modelle mit ihren Passwortfeldern aussehe
{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}
/// info | Info
### Über `**user_in.model_dump()` { #about-user-in-model-dump }
In Pydantic v1 hieß die Methode `.dict()`, in Pydantic v2 wurde sie <abbr title="veraltet, obsolet: Es soll nicht mehr verwendet werden">deprecatet</abbr> (aber weiterhin unterstützt) und in `.model_dump()` umbenannt.
Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, aber Sie sollten `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.
///
### Über `**user_in.dict()` { #about-user-in-dict }
#### Die `.dict()`-Methode von Pydantic { #pydantics-dict }
#### Pydantics `.model_dump()` { #pydantics-model-dump }
`user_in` ist ein Pydantic-Modell der Klasse `UserIn`.
Pydantic-Modelle haben eine `.dict()`-Methode, die ein <abbr title="Dictionary Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> mit den Daten des Modells zurückgibt.
Pydantic-Modelle haben eine `.model_dump()`-Methode, die ein <abbr title="Dictionary Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> mit den Daten des Modells zurückgibt.
Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:
@@ -47,7 +39,7 @@ user_in = UserIn(username="john", password="secret", email="john.doe@example.com
und dann aufrufen:
```Python
user_dict = user_in.dict()
user_dict = user_in.model_dump()
```
haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).
@@ -103,20 +95,20 @@ UserInDB(
#### Ein Pydantic-Modell aus dem Inhalt eines anderen { #a-pydantic-model-from-the-contents-of-another }
Da wir im obigen Beispiel `user_dict` von `user_in.dict()` bekommen haben, wäre dieser Code:
Da wir im obigen Beispiel `user_dict` von `user_in.model_dump()` bekommen haben, wäre dieser Code:
```Python
user_dict = user_in.dict()
user_dict = user_in.model_dump()
UserInDB(**user_dict)
```
gleichwertig zu:
```Python
UserInDB(**user_in.dict())
UserInDB(**user_in.model_dump())
```
... weil `user_in.dict()` ein `dict` ist, und dann lassen wir Python es „entpacken“, indem wir es an `UserInDB` mit vorangestelltem `**` übergeben.
... weil `user_in.model_dump()` ein `dict` ist, und dann lassen wir Python es „entpacken“, indem wir es an `UserInDB` mit vorangestelltem `**` übergeben.
Auf diese Weise erhalten wir ein Pydantic-Modell aus den Daten eines anderen Pydantic-Modells.
@@ -125,7 +117,7 @@ Auf diese Weise erhalten wir ein Pydantic-Modell aus den Daten eines anderen Pyd
Und dann fügen wir das zusätzliche Schlüsselwort-Argument `hashed_password=hashed_password` hinzu, wie in:
```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```
... was so ist wie:
@@ -180,7 +172,6 @@ Wenn Sie eine <a href="https://docs.pydantic.dev/latest/concepts/types/#unions"
{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}
### `Union` in Python 3.10 { #union-in-python-3-10 }
In diesem Beispiel übergeben wir `Union[PlaneItem, CarItem]` als Wert des Arguments `response_model`.
@@ -203,7 +194,6 @@ Dafür verwenden Sie Pythons Standard-`typing.List` (oder nur `list` in Python 3
{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}
## Response mit beliebigem `dict` { #response-with-arbitrary-dict }
Sie können auch eine Response deklarieren, die ein beliebiges `dict` zurückgibt, indem Sie nur die Typen der Schlüssel und Werte ohne ein Pydantic-Modell deklarieren.
@@ -214,7 +204,6 @@ In diesem Fall können Sie `typing.Dict` verwenden (oder nur `dict` in Python 3.
{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}
## Zusammenfassung { #recap }
Verwenden Sie gerne mehrere Pydantic-Modelle und vererben Sie je nach Bedarf.

View File

@@ -205,20 +205,6 @@ Wenn Sie sich mit all diesen **„regulärer Ausdruck“**-Ideen verloren fühle
Aber nun wissen Sie, dass Sie sie in **FastAPI** immer dann verwenden können, wenn Sie sie brauchen.
### Pydantic v1 `regex` statt `pattern` { #pydantic-v1-regex-instead-of-pattern }
Vor Pydantic Version 2 und FastAPI 0.100.0, hieß der Parameter `regex` statt `pattern`, aber das ist jetzt obsolet.
Sie könnten immer noch Code sehen, der den alten Namen verwendet:
//// tab | Pydantic v1
{* ../../docs_src/query_params_str_validations/tutorial004_regex_an_py310.py hl[11] *}
////
Beachten Sie aber, dass das obsolet ist und auf den neuen Parameter `pattern` aktualisiert werden sollte. 🤓
## Defaultwerte { #default-values }
Natürlich können Sie Defaultwerte verwenden, die nicht `None` sind.

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@@ -252,20 +252,6 @@ Wenn Sie also den Artikel mit der ID `foo` bei der *Pfadoperation* anfragen, wir
/// info | Info
In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie <abbr title="veraltet, obsolet: Es soll nicht mehr verwendet werden">deprecatet</abbr> (aber immer noch unterstützt) und in `.model_dump()` umbenannt.
Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.
///
/// info | Info
FastAPI verwendet `.dict()` von Pydantic Modellen, <a href="https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict" class="external-link" target="_blank">mit dessen `exclude_unset`-Parameter</a>, um das zu erreichen.
///
/// info | Info
Sie können auch:
* `response_model_exclude_defaults=True`

View File

@@ -8,36 +8,14 @@ Hier sind mehrere Möglichkeiten, das zu tun.
Sie können `examples` („Beispiele“) für ein Pydantic-Modell deklarieren, welche dem generierten JSON-Schema hinzugefügt werden.
//// tab | Pydantic v2
{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}
////
//// tab | Pydantic v1
{* ../../docs_src/schema_extra_example/tutorial001_pv1_py310.py hl[13:23] *}
////
Diese zusätzlichen Informationen werden unverändert zum für dieses Modell ausgegebenen **JSON-Schema** hinzugefügt und in der API-Dokumentation verwendet.
//// tab | Pydantic v2
In Pydantic Version 2 würden Sie das Attribut `model_config` verwenden, das ein <abbr title="Dictionary Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> akzeptiert, wie beschrieben in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic-Dokumentation: Configuration</a>.
Sie können das Attribut `model_config` verwenden, das ein <abbr title="Dictionary Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> akzeptiert, wie beschrieben in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic-Dokumentation: Configuration</a>.
Sie können `json_schema_extra` setzen, mit einem `dict`, das alle zusätzlichen Daten enthält, die im generierten JSON-Schema angezeigt werden sollen, einschließlich `examples`.
////
//// tab | Pydantic v1
In Pydantic Version 1 würden Sie eine interne Klasse `Config` und `schema_extra` verwenden, wie beschrieben in <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">Pydantic-Dokumentation: Schema customization</a>.
Sie können `schema_extra` setzen, mit einem `dict`, das alle zusätzlichen Daten enthält, die im generierten JSON-Schema angezeigt werden sollen, einschließlich `examples`.
////
/// tip | Tipp
Mit derselben Technik können Sie das JSON-Schema erweitern und Ihre eigenen benutzerdefinierten Zusatzinformationen hinzufügen.

View File

@@ -7,6 +7,31 @@ hide:
## Latest Changes
### Translations
* 🌐 Update translations for de (update-outdated). PR [#14581](https://github.com/fastapi/fastapi/pull/14581) by [@nilslindemann](https://github.com/nilslindemann).
### Internal
* 👷 Update secrets check. PR [#14592](https://github.com/fastapi/fastapi/pull/14592) by [@tiangolo](https://github.com/tiangolo).
* 👷 Run CodSpeed tests in parallel to other tests to speed up CI. PR [#14586](https://github.com/fastapi/fastapi/pull/14586) by [@tiangolo](https://github.com/tiangolo).
* 🔨 Update scripts and pre-commit to autofix files. PR [#14585](https://github.com/fastapi/fastapi/pull/14585) by [@tiangolo](https://github.com/tiangolo).
## 0.127.0
### Breaking Changes
* 🔊 Add deprecation warnings when using `pydantic.v1`. PR [#14583](https://github.com/fastapi/fastapi/pull/14583) by [@tiangolo](https://github.com/tiangolo).
### Translations
* 🔧 Add LLM prompt file for Korean, generated from the existing translations. PR [#14546](https://github.com/fastapi/fastapi/pull/14546) by [@tiangolo](https://github.com/tiangolo).
* 🔧 Add LLM prompt file for Japanese, generated from the existing translations. PR [#14545](https://github.com/fastapi/fastapi/pull/14545) by [@tiangolo](https://github.com/tiangolo).
### Internal
* ⬆️ Upgrade OpenAI model for translations to gpt-5.2. PR [#14579](https://github.com/fastapi/fastapi/pull/14579) by [@tiangolo](https://github.com/tiangolo).
## 0.126.0
### Upgrades

47
docs/ja/llm-prompt.md Normal file
View File

@@ -0,0 +1,47 @@
### Target language
Translate to Japanese (日本語).
Language code: ja.
### Grammar and tone
1) Use polite, instructional Japanese (です/ます調).
2) Keep the tone concise and technical (match existing Japanese FastAPI docs).
### Headings
1) Follow the existing Japanese style: short, descriptive headings (often noun phrases), e.g. 「チェック」.
2) Do not add a trailing period at the end of headings.
### Quotes
1) Prefer Japanese corner brackets 「」 in normal prose when quoting a term.
2) Do not change quotes inside inline code, code blocks, URLs, or file paths.
### Ellipsis
1) Keep ellipsis style consistent with existing Japanese docs (commonly `...`).
2) Never change `...` in code, URLs, or CLI examples.
### Preferred translations / glossary
Use the following preferred translations when they apply in documentation prose:
- request (HTTP): リクエスト
- response (HTTP): レスポンス
- path operation: パスオペレーション
- path operation function: パスオペレーション関数
### `///` admonitions
1) Keep the admonition keyword in English (do not translate `note`, `tip`, etc.).
2) If a title is present, prefer these canonical titles:
- `/// note | 備考`
- `/// note | 技術詳細`
- `/// tip | 豆知識`
- `/// warning | 注意`
- `/// info | 情報`
- `/// check | 確認`
- `/// danger | 警告`

51
docs/ko/llm-prompt.md Normal file
View File

@@ -0,0 +1,51 @@
### Target language
Translate to Korean (한국어).
Language code: ko.
### Grammar and tone
1) Use polite, instructional Korean (e.g. 합니다/하세요 style).
2) Keep the tone consistent with the existing Korean FastAPI docs.
### Headings
1) Follow existing Korean heading style (short, action-oriented headings like “확인하기”).
2) Do not add trailing punctuation to headings.
### Quotes
1) Keep quote style consistent with the existing Korean docs.
2) Never change quotes inside inline code, code blocks, URLs, or file paths.
### Ellipsis
1) Keep ellipsis style consistent with existing Korean docs (often `...`).
2) Never change `...` in code, URLs, or CLI examples.
### Preferred translations / glossary
Use the following preferred translations when they apply in documentation prose:
- request (HTTP): 요청
- response (HTTP): 응답
- path operation: 경로 처리
- path operation function: 경로 처리 함수
### `///` admonitions
1) Keep the admonition keyword in English (do not translate `note`, `tip`, etc.).
2) If a title is present, prefer these canonical titles:
- `/// note | 참고`
- `/// tip | 팁`
- `/// warning | 경고`
- `/// info | 정보`
- `/// danger | 위험`
- `/// note Technical Details | 기술 세부사항`
- `/// check | 확인`
Notes:
- `details` blocks exist in Korean docs; keep `/// details` as-is and translate only the title after `|`.
- Example canonical title used: `/// details | 상세 설명`

View File

@@ -1,6 +1,6 @@
"""FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
__version__ = "0.126.0"
__version__ = "0.127.0"
from starlette import status as status

View File

@@ -1,6 +1,7 @@
import dataclasses
import inspect
import sys
import warnings
from collections.abc import Coroutine, Mapping, Sequence
from contextlib import AsyncExitStack, contextmanager
from copy import copy, deepcopy
@@ -322,6 +323,13 @@ def get_dependant(
)
continue
assert param_details.field is not None
if isinstance(param_details.field, may_v1.ModelField):
warnings.warn(
"pydantic.v1 is deprecated and will soon stop being supported by FastAPI."
f" Please update the param {param_name}: {param_details.type_annotation!r}.",
category=DeprecationWarning,
stacklevel=5,
)
if isinstance(
param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)
):

View File

@@ -2,6 +2,7 @@ import email.message
import functools
import inspect
import json
import warnings
from collections.abc import (
AsyncIterator,
Awaitable,
@@ -28,6 +29,7 @@ from fastapi._compat import (
_get_model_config,
_model_dump,
_normalize_errors,
annotation_is_pydantic_v1,
lenient_issubclass,
may_v1,
)
@@ -634,6 +636,13 @@ class APIRoute(routing.Route):
f"Status code {status_code} must not have a response body"
)
response_name = "Response_" + self.unique_id
if annotation_is_pydantic_v1(self.response_model):
warnings.warn(
"pydantic.v1 is deprecated and will soon stop being supported by FastAPI."
f" Please update the response model {self.response_model!r}.",
category=DeprecationWarning,
stacklevel=4,
)
self.response_field = create_model_field(
name=response_name,
type_=self.response_model,
@@ -667,6 +676,13 @@ class APIRoute(routing.Route):
f"Status code {additional_status_code} must not have a response body"
)
response_name = f"Response_{additional_status_code}_{self.unique_id}"
if annotation_is_pydantic_v1(model):
warnings.warn(
"pydantic.v1 is deprecated and will soon stop being supported by FastAPI."
f" In responses={{}}, please update {model}.",
category=DeprecationWarning,
stacklevel=4,
)
response_field = create_model_field(
name=response_name, type_=model, mode="serialization"
)

View File

@@ -19,7 +19,13 @@ from slugify import slugify as py_slugify
logging.basicConfig(level=logging.INFO)
SUPPORTED_LANGS = {"en", "de", "es", "pt", "ru"}
SUPPORTED_LANGS = {
"en",
"de",
"es",
"pt",
"ru",
}
app = typer.Typer()
@@ -232,27 +238,15 @@ def generate_readme() -> None:
"""
Generate README.md content from main index.md
"""
typer.echo("Generating README")
readme_path = Path("README.md")
old_content = readme_path.read_text()
new_content = generate_readme_content()
readme_path.write_text(new_content, encoding="utf-8")
@app.command()
def verify_readme() -> None:
"""
Verify README.md content from main index.md
"""
typer.echo("Verifying README")
readme_path = Path("README.md")
generated_content = generate_readme_content()
readme_content = readme_path.read_text("utf-8")
if generated_content != readme_content:
typer.secho(
"README.md outdated from the latest index.md", color=typer.colors.RED
)
raise typer.Abort()
typer.echo("Valid README ✅")
if new_content != old_content:
print("README.md outdated from the latest index.md")
print("Updating README.md")
readme_path.write_text(new_content, encoding="utf-8")
raise typer.Exit(1)
print("README.md is up to date ✅")
@app.command()
@@ -280,7 +274,17 @@ def update_languages() -> None:
"""
Update the mkdocs.yml file Languages section including all the available languages.
"""
update_config()
old_config = get_en_config()
updated_config = get_updated_config_content()
if old_config != updated_config:
print("docs/en/mkdocs.yml outdated")
print("Updating docs/en/mkdocs.yml")
en_config_path.write_text(
yaml.dump(updated_config, sort_keys=False, width=200, allow_unicode=True),
encoding="utf-8",
)
raise typer.Exit(1)
print("docs/en/mkdocs.yml is up to date ✅")
@app.command()
@@ -367,39 +371,12 @@ def get_updated_config_content() -> dict[str, Any]:
return config
def update_config() -> None:
config = get_updated_config_content()
en_config_path.write_text(
yaml.dump(config, sort_keys=False, width=200, allow_unicode=True),
encoding="utf-8",
)
@app.command()
def verify_config() -> None:
def ensure_non_translated() -> None:
"""
Verify main mkdocs.yml content to make sure it uses the latest language names.
Ensure there are no files in the non translatable pages.
"""
typer.echo("Verifying mkdocs.yml")
config = get_en_config()
updated_config = get_updated_config_content()
if config != updated_config:
typer.secho(
"docs/en/mkdocs.yml outdated from docs/language_names.yml, "
"update language_names.yml and run "
"python ./scripts/docs.py update-languages",
color=typer.colors.RED,
)
raise typer.Abort()
typer.echo("Valid mkdocs.yml ✅")
@app.command()
def verify_non_translated() -> None:
"""
Verify there are no files in the non translatable pages.
"""
print("Verifying non translated pages")
print("Ensuring no non translated pages")
lang_paths = get_lang_paths()
error_paths = []
for lang in lang_paths:
@@ -410,20 +387,17 @@ def verify_non_translated() -> None:
if non_translatable_path.exists():
error_paths.append(non_translatable_path)
if error_paths:
print("Non-translated pages found, remove them:")
print("Non-translated pages found, removing them:")
for error_path in error_paths:
print(error_path)
raise typer.Abort()
if error_path.is_file():
error_path.unlink()
else:
shutil.rmtree(error_path)
raise typer.Exit(1)
print("No non-translated pages found ✅")
@app.command()
def verify_docs():
verify_readme()
verify_config()
verify_non_translated()
@app.command()
def langs_json():
langs = []

View File

@@ -727,7 +727,7 @@ def translate_page(
print(f"Found existing translation: {out_path}")
old_translation = out_path.read_text(encoding="utf-8")
print(f"Translating {en_path} to {language} ({language_name})")
agent = Agent("openai:gpt-5")
agent = Agent("openai:gpt-5.2")
prompt_segments = [
general_prompt,

View File

@@ -1,5 +1,6 @@
import json
import sys
import warnings
from collections.abc import Iterator
from typing import Annotated, Any
@@ -84,96 +85,103 @@ def app(basemodel_class: type[Any]) -> FastAPI:
app = FastAPI()
@app.post("/sync/validated", response_model=ItemOut)
def sync_validated(item: ItemIn, dep: Annotated[int, Depends(dep_b)]):
return ItemOut(name=item.name, value=item.value, dep=dep)
with warnings.catch_warnings(record=True):
warnings.filterwarnings(
"ignore",
message=r"pydantic\.v1 is deprecated and will soon stop being supported by FastAPI\..*",
category=DeprecationWarning,
)
@app.get("/sync/dict-no-response-model")
def sync_dict_no_response_model():
return {"name": "foo", "value": 123}
@app.post("/sync/validated", response_model=ItemOut)
def sync_validated(item: ItemIn, dep: Annotated[int, Depends(dep_b)]):
return ItemOut(name=item.name, value=item.value, dep=dep)
@app.get("/sync/dict-with-response-model", response_model=ItemOut)
def sync_dict_with_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return {"name": "foo", "value": 123, "dep": dep}
@app.get("/sync/dict-no-response-model")
def sync_dict_no_response_model():
return {"name": "foo", "value": 123}
@app.get("/sync/model-no-response-model")
def sync_model_no_response_model(dep: Annotated[int, Depends(dep_b)]):
return ItemOut(name="foo", value=123, dep=dep)
@app.get("/sync/dict-with-response-model", response_model=ItemOut)
def sync_dict_with_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return {"name": "foo", "value": 123, "dep": dep}
@app.get("/sync/model-with-response-model", response_model=ItemOut)
def sync_model_with_response_model(dep: Annotated[int, Depends(dep_b)]):
return ItemOut(name="foo", value=123, dep=dep)
@app.get("/sync/model-no-response-model")
def sync_model_no_response_model(dep: Annotated[int, Depends(dep_b)]):
return ItemOut(name="foo", value=123, dep=dep)
@app.post("/async/validated", response_model=ItemOut)
async def async_validated(
item: ItemIn,
dep: Annotated[int, Depends(dep_b)],
):
return ItemOut(name=item.name, value=item.value, dep=dep)
@app.get("/sync/model-with-response-model", response_model=ItemOut)
def sync_model_with_response_model(dep: Annotated[int, Depends(dep_b)]):
return ItemOut(name="foo", value=123, dep=dep)
@app.post("/sync/large-receive")
def sync_large_receive(payload: LargeIn):
return {"received": len(payload.items)}
@app.post("/async/validated", response_model=ItemOut)
async def async_validated(
item: ItemIn,
dep: Annotated[int, Depends(dep_b)],
):
return ItemOut(name=item.name, value=item.value, dep=dep)
@app.post("/async/large-receive")
async def async_large_receive(payload: LargeIn):
return {"received": len(payload.items)}
@app.post("/sync/large-receive")
def sync_large_receive(payload: LargeIn):
return {"received": len(payload.items)}
@app.get("/sync/large-dict-no-response-model")
def sync_large_dict_no_response_model():
return LARGE_PAYLOAD
@app.post("/async/large-receive")
async def async_large_receive(payload: LargeIn):
return {"received": len(payload.items)}
@app.get("/sync/large-dict-with-response-model", response_model=LargeOut)
def sync_large_dict_with_response_model():
return LARGE_PAYLOAD
@app.get("/sync/large-dict-no-response-model")
def sync_large_dict_no_response_model():
return LARGE_PAYLOAD
@app.get("/sync/large-model-no-response-model")
def sync_large_model_no_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/sync/large-dict-with-response-model", response_model=LargeOut)
def sync_large_dict_with_response_model():
return LARGE_PAYLOAD
@app.get("/sync/large-model-with-response-model", response_model=LargeOut)
def sync_large_model_with_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/sync/large-model-no-response-model")
def sync_large_model_no_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/async/large-dict-no-response-model")
async def async_large_dict_no_response_model():
return LARGE_PAYLOAD
@app.get("/sync/large-model-with-response-model", response_model=LargeOut)
def sync_large_model_with_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/async/large-dict-with-response-model", response_model=LargeOut)
async def async_large_dict_with_response_model():
return LARGE_PAYLOAD
@app.get("/async/large-dict-no-response-model")
async def async_large_dict_no_response_model():
return LARGE_PAYLOAD
@app.get("/async/large-model-no-response-model")
async def async_large_model_no_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/async/large-dict-with-response-model", response_model=LargeOut)
async def async_large_dict_with_response_model():
return LARGE_PAYLOAD
@app.get("/async/large-model-with-response-model", response_model=LargeOut)
async def async_large_model_with_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/async/large-model-no-response-model")
async def async_large_model_no_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/async/dict-no-response-model")
async def async_dict_no_response_model():
return {"name": "foo", "value": 123}
@app.get("/async/large-model-with-response-model", response_model=LargeOut)
async def async_large_model_with_response_model():
return LargeOut(items=LARGE_ITEMS, metadata=LARGE_METADATA)
@app.get("/async/dict-with-response-model", response_model=ItemOut)
async def async_dict_with_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return {"name": "foo", "value": 123, "dep": dep}
@app.get("/async/dict-no-response-model")
async def async_dict_no_response_model():
return {"name": "foo", "value": 123}
@app.get("/async/model-no-response-model")
async def async_model_no_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return ItemOut(name="foo", value=123, dep=dep)
@app.get("/async/dict-with-response-model", response_model=ItemOut)
async def async_dict_with_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return {"name": "foo", "value": 123, "dep": dep}
@app.get("/async/model-with-response-model", response_model=ItemOut)
async def async_model_with_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return ItemOut(name="foo", value=123, dep=dep)
@app.get("/async/model-no-response-model")
async def async_model_no_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return ItemOut(name="foo", value=123, dep=dep)
@app.get("/async/model-with-response-model", response_model=ItemOut)
async def async_model_with_response_model(
dep: Annotated[int, Depends(dep_b)],
):
return ItemOut(name="foo", value=123, dep=dep)
return app

View File

@@ -1,4 +1,5 @@
import sys
import warnings
from typing import Optional
import pytest
@@ -33,94 +34,90 @@ class Item(BaseModel):
app = FastAPI()
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@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/{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 ]+$"),
] = None,
skip: Annotated[int, Query(ge=0)] = 0,
limit: Annotated[int, Query(ge=1, le=100, examples=[5])] = 10,
):
return {"q": q, "skip": skip, "limit": limit}
@app.get("/items/")
def get_items_with_query(
q: Annotated[
Optional[str], Query(min_length=3, max_length=50, pattern="^[a-zA-Z0-9 ]+$")
] = 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.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.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.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.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("/items/")
def create_item(
item: Annotated[
Item,
Body(examples=[{"name": "Foo", "price": 35.4, "description": "The Foo item"}]),
],
):
return {"item": item}
@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("/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,
}
@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)
@@ -211,10 +208,10 @@ def test_header_params_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/")
with TestClient(app) as test_client:
test_client.cookies.set("session_id", "abc123")
test_client.cookies.set("tracking_id", "1234567890abcdef")
response = test_client.get("/cookies/")
assert response.status_code == 200
assert response.json() == {
"session_id": "abc123",
@@ -223,9 +220,9 @@ def test_cookie_params():
def test_cookie_tracking_id_too_short():
with TestClient(app) as client:
client.cookies.set("tracking_id", "short")
response = client.get("/cookies/")
with TestClient(app) as test_client:
test_client.cookies.set("tracking_id", "short")
response = test_client.get("/cookies/")
assert response.status_code == 422
assert response.json() == snapshot(
{

View File

@@ -1,3 +1,4 @@
import warnings
from datetime import datetime, timezone
from fastapi import FastAPI
@@ -48,9 +49,12 @@ def test_pydanticv1():
app = FastAPI()
model = ModelWithDatetimeField(dt_field=datetime(2019, 1, 1, 8))
@app.get("/model", response_model=ModelWithDatetimeField)
def get_model():
return model
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@app.get("/model", response_model=ModelWithDatetimeField)
def get_model():
return model
client = TestClient(app)
with client:

View File

@@ -1,3 +1,4 @@
import warnings
from typing import Optional
from fastapi import Depends, FastAPI
@@ -31,11 +32,14 @@ async def get_model_c() -> ModelC:
return ModelC(username="test-user", password="test-password")
@app.get("/model/{name}", response_model=ModelA)
async def get_model_a(name: str, model_c=Depends(get_model_c)):
return {
"name": name,
"description": "model-a-desc",
"model_b": model_c,
"tags": {"key1": "value1", "key2": "value2"},
}
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@app.get("/model/{name}", response_model=ModelA)
async def get_model_a(name: str, model_c=Depends(get_model_c)):
return {
"name": name,
"description": "model-a-desc",
"model_b": model_c,
"tags": {"key1": "value1", "key2": "value2"},
}

View File

@@ -1,3 +1,5 @@
import warnings
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
@@ -36,12 +38,28 @@ def client_fixture(request: pytest.FixtureRequest) -> TestClient:
app = FastAPI()
@app.get("/facilities/{facility_id}")
def get_facility(facility_id: str) -> Facility:
return Facility(
id=facility_id,
address=Address(line_1="123 Main St", city="Anytown", state_province="CA"),
)
if request.param == "pydantic-v1":
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@app.get("/facilities/{facility_id}")
def get_facility(facility_id: str) -> Facility:
return Facility(
id=facility_id,
address=Address(
line_1="123 Main St", city="Anytown", state_province="CA"
),
)
else:
@app.get("/facilities/{facility_id}")
def get_facility(facility_id: str) -> Facility:
return Facility(
id=facility_id,
address=Address(
line_1="123 Main St", city="Anytown", state_province="CA"
),
)
client = TestClient(app)
return client

View File

@@ -0,0 +1,98 @@
import sys
import pytest
from tests.utils import 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
def test_warns_pydantic_v1_model_in_endpoint_param() -> None:
class ParamModelV1(BaseModel):
name: str
app = FastAPI()
with pytest.warns(
DeprecationWarning,
match=r"pydantic\.v1 is deprecated.*Please update the param data:",
):
@app.post("/param")
def endpoint(data: ParamModelV1):
return data
client = TestClient(app)
response = client.post("/param", json={"name": "test"})
assert response.status_code == 200, response.text
assert response.json() == {"name": "test"}
def test_warns_pydantic_v1_model_in_return_type() -> None:
class ReturnModelV1(BaseModel):
name: str
app = FastAPI()
with pytest.warns(
DeprecationWarning,
match=r"pydantic\.v1 is deprecated.*Please update the response model",
):
@app.get("/return")
def endpoint() -> ReturnModelV1:
return ReturnModelV1(name="test")
client = TestClient(app)
response = client.get("/return")
assert response.status_code == 200, response.text
assert response.json() == {"name": "test"}
def test_warns_pydantic_v1_model_in_response_model() -> None:
class ResponseModelV1(BaseModel):
name: str
app = FastAPI()
with pytest.warns(
DeprecationWarning,
match=r"pydantic\.v1 is deprecated.*Please update the response model",
):
@app.get("/response-model", response_model=ResponseModelV1)
def endpoint():
return {"name": "test"}
client = TestClient(app)
response = client.get("/response-model")
assert response.status_code == 200, response.text
assert response.json() == {"name": "test"}
def test_warns_pydantic_v1_model_in_additional_responses_model() -> None:
class ErrorModelV1(BaseModel):
detail: str
app = FastAPI()
with pytest.warns(
DeprecationWarning,
match=r"pydantic\.v1 is deprecated.*In responses=\{\}, please update",
):
@app.get(
"/responses", response_model=None, responses={400: {"model": ErrorModelV1}}
)
def endpoint():
return {"ok": True}
client = TestClient(app)
response = client.get("/responses")
assert response.status_code == 200, response.text
assert response.json() == {"ok": True}

View File

@@ -1,4 +1,5 @@
import sys
import warnings
from typing import Any, Union
from tests.utils import skip_module_if_py_gte_314
@@ -26,30 +27,29 @@ class Item(BaseModel):
app = FastAPI()
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@app.post("/simple-model")
def handle_simple_model(data: SubItem) -> SubItem:
return data
@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("/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")
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
@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)

View File

@@ -1,4 +1,5 @@
import sys
import warnings
from typing import Any, Union
from tests.utils import skip_module_if_py_gte_314
@@ -27,49 +28,47 @@ class Item(BaseModel):
app = FastAPI()
@app.post("/item")
def handle_item(data: Item) -> list[Item]:
return [data, data]
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@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()
@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]
return []
@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)

View File

@@ -1,4 +1,5 @@
import sys
import warnings
from typing import Any, Union
from tests.utils import skip_module_if_py_gte_314
@@ -39,179 +40,181 @@ class NewItem(NewBaseModel):
app = FastAPI()
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@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")
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("/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("/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("/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("/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/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/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(
@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 result
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("/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("/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("/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(
@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 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=""))
return Item(title="", size=0, sub=SubItem(name=""))
client = TestClient(app)

View File

@@ -1,140 +1,137 @@
import warnings
from fastapi import FastAPI
from . import modelsv1, modelsv2, modelsv2b
app = FastAPI()
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@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("/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("/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/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(
@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 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],
new_title="", new_size=0, new_sub=modelsv2.SubItem(new_sub_name="")
)
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/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-list")
def handle_v2_list_to_v1_list(data: list[modelsv2.Item]) -> list[modelsv1.Item]:
result = []
for item in data:
result.append(
modelsv1.Item(
@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 result
return modelsv1.Item(title="", size=0, sub=modelsv1.SubItem(name=""))
@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]
@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=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],
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],
)
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
@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]:
item1 = data1[0]
item2 = data2[0]
return [
modelsv1.ItemInList(name1=item1.name2),
modelsv1.ItemInList(name1=item2.dup_name2),
]

View File

@@ -1,4 +1,5 @@
import sys
import warnings
from typing import Any, Union
from tests.utils import skip_module_if_py_gte_314
@@ -39,65 +40,69 @@ class NewItem(NewBaseModel):
app = FastAPI()
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@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/")
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("/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")
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
@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)

View File

@@ -1,3 +1,4 @@
import warnings
from typing import Any
from fastapi import FastAPI
@@ -73,10 +74,13 @@ def test_read_with_orm_mode_pv1() -> None:
app = FastAPI()
@app.post("/people/", response_model=PersonRead)
def create_person(person: PersonCreate) -> Any:
db_person = Person.from_orm(person)
return db_person
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@app.post("/people/", response_model=PersonRead)
def create_person(person: PersonCreate) -> Any:
db_person = Person.from_orm(person)
return db_person
client = TestClient(app)

View File

@@ -1,3 +1,4 @@
import warnings
from typing import Union
import pytest
@@ -521,11 +522,14 @@ def test_invalid_response_model_field_pv1():
class Model(v1.BaseModel):
foo: str
with pytest.raises(FastAPIError) as e:
with warnings.catch_warnings(record=True):
warnings.simplefilter("always")
@app.get("/")
def read_root() -> Union[Response, Model, None]:
return Response(content="Foo") # pragma: no cover
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]

View File

@@ -1,4 +1,5 @@
import sys
import warnings
import pytest
from inline_snapshot import snapshot
@@ -24,7 +25,13 @@ from ...utils import needs_py310
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
with warnings.catch_warnings(record=True):
warnings.filterwarnings(
"ignore",
message=r"pydantic\.v1 is deprecated and will soon stop being supported by FastAPI\..*",
category=DeprecationWarning,
)
mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
c = TestClient(mod.app)
return c

View File

@@ -1,4 +1,5 @@
import sys
import warnings
import pytest
from inline_snapshot import snapshot
@@ -24,7 +25,13 @@ from ...utils import needs_py310
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
with warnings.catch_warnings(record=True):
warnings.filterwarnings(
"ignore",
message=r"pydantic\.v1 is deprecated and will soon stop being supported by FastAPI\..*",
category=DeprecationWarning,
)
mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
c = TestClient(mod.app)
return c

View File

@@ -1,4 +1,5 @@
import sys
import warnings
import pytest
from inline_snapshot import snapshot
@@ -24,7 +25,13 @@ from ...utils import needs_py310
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
with warnings.catch_warnings(record=True):
warnings.filterwarnings(
"ignore",
message=r"pydantic\.v1 is deprecated and will soon stop being supported by FastAPI\..*",
category=DeprecationWarning,
)
mod = importlib.import_module(f"docs_src.pydantic_v1_in_v2.{request.param}")
c = TestClient(mod.app)
return c

View File

@@ -1,4 +1,5 @@
import importlib
import warnings
import pytest
from fastapi.testclient import TestClient
@@ -14,7 +15,13 @@ from ...utils import needs_pydanticv1
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.request_form_models.{request.param}")
with warnings.catch_warnings(record=True):
warnings.filterwarnings(
"ignore",
message=r"pydantic\.v1 is deprecated and will soon stop being supported by FastAPI\..*",
category=DeprecationWarning,
)
mod = importlib.import_module(f"docs_src.request_form_models.{request.param}")
client = TestClient(mod.app)
return client

View File

@@ -1,4 +1,5 @@
import importlib
import warnings
import pytest
from fastapi.testclient import TestClient
@@ -15,7 +16,13 @@ from ...utils import needs_py310, needs_pydanticv1
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.schema_extra_example.{request.param}")
with warnings.catch_warnings(record=True):
warnings.filterwarnings(
"ignore",
message=r"pydantic\.v1 is deprecated and will soon stop being supported by FastAPI\..*",
category=DeprecationWarning,
)
mod = importlib.import_module(f"docs_src.schema_extra_example.{request.param}")
client = TestClient(mod.app)
return client