✏ Fix links to Pydantic docs (#4670)

Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>

diff --git a/docs/de/docs/features.md b/docs/de/docs/features.md
index a92a2bfebe49909421e6796b0ee20d24514deda1..767a170731555430ef39607a79d989aeddd3507c 100644 (file)
--- a/docs/de/docs/features.md
+++ b/docs/de/docs/features.md
@@ -193,7 +193,7 @@ Mit **FastAPI** bekommen Sie alle Funktionen von **Pydantic** (da FastAPI für d
 * Gutes Zusammenspiel mit Ihrer/Ihrem **<abbr title="Integrierten Entwicklungsumgebung, ähnlich zu (Quellcode-)Editor">IDE</abbr>/<abbr title="Ein Programm, was Fehler im Quellcode sucht">linter</abbr>/Gehirn**:
     * Weil Datenstrukturen von Pydantic einfach nur Instanzen ihrer definierten Klassen sind, sollten Autovervollständigung, Linting, mypy und ihre Intuition einwandfrei funktionieren.
 * **Schnell**:
-    * In <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">Vergleichen</a> ist Pydantic schneller als jede andere getestete Bibliothek.
+    * In <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">Vergleichen</a> ist Pydantic schneller als jede andere getestete Bibliothek.
 * Validierung von **komplexen Strukturen**:
     * Benutzung von hierachischen Pydantic Schemata, Python `typing`’s `List` und `Dict`, etc.
     * Validierungen erlauben klare und einfache Datenschemadefinition, überprüft und dokumentiert als JSON Schema.

diff --git a/docs/en/docs/features.md b/docs/en/docs/features.md
index 36f80783a6104f0b90b3967d014d1fe658d41d7e..e4672d5329347a57953a8df93372fb1dd0ecba7d 100644 (file)
--- a/docs/en/docs/features.md
+++ b/docs/en/docs/features.md
@@ -190,7 +190,7 @@ With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on
 * Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:
     * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
 * **Fast**:
-    * in <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">benchmarks</a> Pydantic is faster than all other tested libraries.
+    * in <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">benchmarks</a> Pydantic is faster than all other tested libraries.
 * Validate **complex structures**:
     * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
     * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.

diff --git a/docs/en/docs/tutorial/extra-data-types.md b/docs/en/docs/tutorial/extra-data-types.md
index a00bd32122509b7b1def8551ceff0c2621a2302d..fb3efd318438cee32a0579876e32f3ab7c5abe7e 100644 (file)
--- a/docs/en/docs/tutorial/extra-data-types.md
+++ b/docs/en/docs/tutorial/extra-data-types.md
@@ -36,7 +36,7 @@ Here are some of the additional data types you can use:
 * `datetime.timedelta`:
     * A Python `datetime.timedelta`.
     * In requests and responses will be represented as a `float` of total seconds.
-    * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://pydantic-docs.helpmanual.io/#json-serialisation" class="external-link" target="_blank">see the docs for more info</a>.
+    * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://pydantic-docs.helpmanual.io/usage/exporting_models/#json_encoders" class="external-link" target="_blank">see the docs for more info</a>.
 * `frozenset`:
     * In requests and responses, treated the same as a `set`:
         * In requests, a list will be read, eliminating duplicates and converting it to a `set`.

diff --git a/docs/en/docs/tutorial/handling-errors.md b/docs/en/docs/tutorial/handling-errors.md
index 82e1662663852f4ee1fa0eaacabf15b084a7221d..8c30326cede9225b8fd88d3ff797c08a25c4dd4b 100644 (file)
--- a/docs/en/docs/tutorial/handling-errors.md
+++ b/docs/en/docs/tutorial/handling-errors.md
@@ -163,7 +163,7 @@ path -> item_id
 !!! warning
     These are technical details that you might skip if it's not important for you now.
 
-`RequestValidationError` is a sub-class of Pydantic's <a href="https://pydantic-docs.helpmanual.io/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.
+`RequestValidationError` is a sub-class of Pydantic's <a href="https://pydantic-docs.helpmanual.io/usage/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.
 
 **FastAPI** uses it so that, if you use a Pydantic model in `response_model`, and your data has an error, you will see the error in your log.
 

diff --git a/docs/en/docs/tutorial/sql-databases.md b/docs/en/docs/tutorial/sql-databases.md
index 60c7fb0665f5f9f87dd74dbfd315a04ce4d95ec2..15ad71eb5ba25f055097c3d51e3ad3347c88628b 100644 (file)
--- a/docs/en/docs/tutorial/sql-databases.md
+++ b/docs/en/docs/tutorial/sql-databases.md
@@ -317,7 +317,7 @@ Not only the IDs of those items, but all the data that we defined in the Pydanti
 
 Now, in the Pydantic *models* for reading, `Item` and `User`, add an internal `Config` class.
 
-This <a href="https://pydantic-docs.helpmanual.io/#config" class="external-link" target="_blank">`Config`</a> class is used to provide configurations to Pydantic.
+This <a href="https://pydantic-docs.helpmanual.io/usage/model_config/" class="external-link" target="_blank">`Config`</a> class is used to provide configurations to Pydantic.
 
 In the `Config` class, set the attribute `orm_mode = True`.
 

diff --git a/docs/es/docs/features.md b/docs/es/docs/features.md
index 945b2cc9438de6fcf848f9b5c86228fe31112752..3c59eb88c07371a3afcfc9fb250fa886a015bdfc 100644 (file)
--- a/docs/es/docs/features.md
+++ b/docs/es/docs/features.md
@@ -191,7 +191,7 @@ Con **FastAPI** obtienes todas las características de **Pydantic** (dado que Fa
 * Interactúa bien con tu **<abbr title="en inglés: Integrated Development Environment, similar a editor de código">IDE</abbr>/<abbr title="Un programa que chequea errores en el código">linter</abbr>/cerebro**:
     * Porque las estructuras de datos de Pydantic son solo <abbr title='En español: ejemplares. Aunque a veces los llaman incorrectamente "instancias"'>instances</abbr> de clases que tu defines, el auto-completado, el linting, mypy y tu intuición deberían funcionar bien con tus datos validados.
 * **Rápido**:
-    * En <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">benchmarks</a> Pydantic es más rápido que todas las otras <abbr title='Herramienta, paquete. A veces llamado "librería"'>libraries</abbr> probadas.
+    * En <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">benchmarks</a> Pydantic es más rápido que todas las otras <abbr title='Herramienta, paquete. A veces llamado "librería"'>libraries</abbr> probadas.
 * Valida **estructuras complejas**:
     * Usa modelos jerárquicos de modelos de Pydantic, `typing` de Python,  `List` y `Dict`, etc.
     * Los validadores también permiten que se definan fácil y claramente schemas complejos de datos. Estos son chequeados y documentados como JSON Schema.

diff --git a/docs/fr/docs/features.md b/docs/fr/docs/features.md
index 4d8f18403a0d022a484c39178198f7ad8ff7588d..4b00ecb6f39a7339ac93273cb47966871ab1a2d4 100644 (file)
--- a/docs/fr/docs/features.md
+++ b/docs/fr/docs/features.md
@@ -190,7 +190,7 @@ Avec **FastAPI** vous aurez toutes les fonctionnalités de **Pydantic**  (comme
 * Aide votre **<abbr title="Integrated Development Environment, il s'agit de votre éditeur de code">IDE</abbr>/<abbr title="Programme qui analyse le code à la recherche d'erreurs">linter</abbr>/cerveau**:
     * Parce que les structures de données de pydantic consistent seulement en une instance de classe que vous définissez; l'auto-complétion, le linting, mypy et votre intuition devrait être largement suffisante pour valider vos données.
 * **Rapide**:
-    * Dans les <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">benchmarks</a> Pydantic est plus rapide que toutes les autres librairies testées.
+    * Dans les <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">benchmarks</a> Pydantic est plus rapide que toutes les autres librairies testées.
 * Valide les **structures complexes**:
     * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
     * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.

diff --git a/docs/ja/docs/features.md b/docs/ja/docs/features.md
index 2c406f4819d8ee4147f3c49d9d8c0dac27b35ea3..5ea68515da35bb3faba37c6190e6e20cba0e64d2 100644 (file)
--- a/docs/ja/docs/features.md
+++ b/docs/ja/docs/features.md
@@ -193,7 +193,7 @@ FastAPIには非常に使いやすく、非常に強力な<abbr title='also know
 * ユーザーの **<abbr title = "コードエディターに似た統合開発環境">IDE</abbr>/<abbr title = "コードエラーをチェックするプログラム">リンター</abbr>/思考 とうまく連携します**：
     * Pydanticのデータ構造は、ユーザーが定義するクラスの単なるインスタンスであるため、オートコンプリート、リンティング、mypy、およびユーザーの直感はすべて、検証済みのデータで適切に機能するはずです。
 * **高速**：
-    * <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">ベンチマーク</a>では、Pydanticは他のすべてのテスト済みライブラリよりも高速です。
+    * <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">ベンチマーク</a>では、Pydanticは他のすべてのテスト済みライブラリよりも高速です。
 * **複雑な構造**を検証：
     * 階層的なPydanticモデルや、Pythonの「`typing`」の「`list`」と「`dict`」などの利用。
     * バリデーターにより、複雑なデータスキーマを明確かつ簡単に定義、チェックし、JSONスキーマとして文書化できます。

diff --git a/docs/pt/docs/features.md b/docs/pt/docs/features.md
index 20014fe2df2b9a934e474ef345756ef9cec277b0..2b7836a6f2c2f479114fd42032e9a60c003e7375 100644 (file)
--- a/docs/pt/docs/features.md
+++ b/docs/pt/docs/features.md
@@ -191,7 +191,7 @@ Com **FastAPI** você terá todos os recursos do **Pydantic** (já que FastAPI u
 * Vai bem com o/a seu/sua **<abbr title="Ambiente de Desenvolvimento Integrado, similar a um editor de código">IDE</abbr>/<abbr title="Um programa que confere erros de código">linter</abbr>/cérebro**:
     * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.
 * **Rápido**:
-    * em <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">_benchmarks_</a>, o Pydantic é mais rápido que todas as outras bibliotecas testadas.
+    * em <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">_benchmarks_</a>, o Pydantic é mais rápido que todas as outras bibliotecas testadas.
 * Valida **estruturas complexas**:
     * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.
     * Validadores permitem que esquemas de dados complexos sejam limpos e facilmente definidos, conferidos e documentados como JSON Schema.

diff --git a/docs/tr/docs/features.md b/docs/tr/docs/features.md
index c06c27c16fe3e3f48eeed0e16827bf8be0995ff9..31d1d889c3ded72aa1d7c4c90f19952cb1a714a5 100644 (file)
--- a/docs/tr/docs/features.md
+++ b/docs/tr/docs/features.md
@@ -198,7 +198,7 @@ Aynı şekilde, databaseden gelen objeyi de **direkt olarak isteğe** de tamamiy
 * Kullandığın geliştirme araçları ile iyi çalışır **<abbr title="Integrated Development Environment, kod editörüne benzer">IDE</abbr>/<abbr title="Code errorlarınızı inceleyen program">linter</abbr>/brain**:
     * Pydantic'in veri yapıları aslında sadece senin tanımladığın classlar; Bu yüzden doğrulanmış dataların ile otomatik tamamlama, linting ve mypy'ı kullanarak sorunsuz bir şekilde çalışabilirsin
 * **Hızlı**:
-    * <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">Benchmarklarda</a>, Pydantic'in diğer bütün test edilmiş bütün kütüphanelerden daha hızlı.
+    * <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">Benchmarklarda</a>, Pydantic'in diğer bütün test edilmiş bütün kütüphanelerden daha hızlı.
 * **En kompleks** yapıları bile doğrula:
     * Hiyerarşik Pydantic modellerinin kullanımı ile beraber, Python `typing`’s `List` and `Dict`, vs gibi şeyleri doğrula.
     * Doğrulayıcılar en kompleks data şemalarının bile temiz ve kolay bir şekilde tanımlanmasına izin veriyor, ve hepsi JSON şeması olarak dokümante ediliyor

diff --git a/docs/zh/docs/features.md b/docs/zh/docs/features.md
index 4752947a3990a953f92e6f2c22d068af955f23a3..2d5ba29827bdb792ebe1298aa3836e2b229e3a84 100644 (file)
--- a/docs/zh/docs/features.md
+++ b/docs/zh/docs/features.md
@@ -195,7 +195,7 @@ FastAPI 有一个使用非常简单，但是非常强大的<abbr title='也叫
 * 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:
     * 因为 pydantic 数据结构仅仅是你定义的类的实例；自动补全，linting，mypy 以及你的直觉应该可以和你验证的数据一起正常工作。 
 * **更快**：
-    * 在 <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" class="external-link" target="_blank">基准测试</a> 中，Pydantic 比其他被测试的库都要快。
+    * 在 <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">基准测试</a> 中，Pydantic 比其他被测试的库都要快。
 * 验证**复杂结构**:
     * 使用分层的 Pydantic 模型, Python `typing`的 `List` 和 `Dict` 等等。
     * 验证器使我们能够简单清楚的将复杂的数据模式定义、检查并记录为 JSON Schema。

diff --git a/docs/zh/docs/tutorial/extra-data-types.md b/docs/zh/docs/tutorial/extra-data-types.md
index 191b4e2b68476b313cfa550cb6b8032f967600d7..27aa5fc14becd1db01cb41b0a89404ee717f5dd7 100644 (file)
--- a/docs/zh/docs/tutorial/extra-data-types.md
+++ b/docs/zh/docs/tutorial/extra-data-types.md
@@ -36,7 +36,7 @@
 * `datetime.timedelta`:
     * 一个 Python `datetime.timedelta`.
     * 在请求和响应中将表示为 `float` 代表总秒数。
-    * Pydantic 也允许将其表示为 "ISO 8601 时间差异编码", <a href="https://pydantic-docs.helpmanual.io/#json-serialisation" class="external-link" target="_blank">查看文档了解更多信息</a>。
+    * Pydantic 也允许将其表示为 "ISO 8601 时间差异编码", <a href="https://pydantic-docs.helpmanual.io/usage/exporting_models/#json_encoders" class="external-link" target="_blank">查看文档了解更多信息</a>。
 * `frozenset`:
     * 在请求和响应中，作为 `set` 对待：
         * 在请求中，列表将被读取，消除重复，并将其转换为一个 `set`。

diff --git a/docs/zh/docs/tutorial/handling-errors.md b/docs/zh/docs/tutorial/handling-errors.md
index 1126b7add5b4ee94c6e1efc799ec0718ae1edf7a..613a143ca8ac59d949bebeef4a6b29d1d48b41ca 100644 (file)
--- a/docs/zh/docs/tutorial/handling-errors.md
+++ b/docs/zh/docs/tutorial/handling-errors.md
@@ -179,7 +179,7 @@ path -> item_id
     如果您觉得现在还用不到以下技术细节，可以先跳过下面的内容。
 
 
-`RequestValidationError` 是 Pydantic 的 <a href="https://pydantic-docs.helpmanual.io/#error-handling" class="external-link" target="_blank">`ValidationError`</a> 的子类。
+`RequestValidationError` 是 Pydantic 的 <a href="https://pydantic-docs.helpmanual.io/usage/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a> 的子类。
 
 **FastAPI** 调用的就是 `RequestValidationError` 类，因此，如果在 `response_model` 中使用 Pydantic 模型，且数据有错误时，在日志中就会看到这个错误。