Remove pydantic v1 output support

Author: koxudaxi

README.md

@@ -8,7 +8,6 @@
 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datamodel-code-generator)](https://pypi.python.org/pypi/datamodel-code-generator)
 [![codecov](https://codecov.io/gh/koxudaxi/datamodel-code-generator/graph/badge.svg?token=plzSSFb9Li)](https://codecov.io/gh/koxudaxi/datamodel-code-generator)
 ![license](https://img.shields.io/github/license/koxudaxi/datamodel-code-generator.svg)
-[![Pydantic v1](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v1.json)](https://pydantic.dev)
 [![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)
 
 > 📣 💼 Maintainer update: Open to opportunities. 🔗 [koxudaxi.dev](https://koxudaxi.dev/?utm_source=github_readme&utm_medium=top&utm_campaign=open_to_work)
@@ -17,7 +16,7 @@
 
 - 📄 Converts **OpenAPI 3**, **JSON Schema**, **GraphQL**, and raw data (JSON/YAML/CSV) into Python models
 - 🐍 Generates from **existing Python types** (Pydantic, dataclass, TypedDict) via `--input-model`
-- 🎯 Generates **Pydantic v1/v2**, **dataclasses**, **TypedDict**, or **msgspec** output
+- 🎯 Generates **Pydantic v2**, **dataclasses**, **TypedDict**, or **msgspec** output
 - 🔗 Handles complex schemas: `$ref`, `allOf`, `oneOf`, `anyOf`, enums, and nested types
 - ✅ Produces type-safe, validated code ready for your IDE and type checker
 
@@ -161,7 +160,6 @@ class Pet(BaseModel):
 
 ## 📤 Supported Output
 
-- [pydantic v1](https://docs.pydantic.dev/1.10/) BaseModel
 - [pydantic v2](https://docs.pydantic.dev/) BaseModel
 - [pydantic v2](https://docs.pydantic.dev/) dataclass
 - [dataclasses](https://docs.python.org/3/library/dataclasses.html)

action.yml

@@ -15,7 +15,7 @@ inputs:
     description: 'Input file type (openapi, jsonschema, json, yaml, csv, graphql)'
     required: true
   output-model-type:
-    description: 'Output model type (pydantic_v2.BaseModel, pydantic.BaseModel, dataclasses.dataclass, typing.TypedDict, msgspec.Struct)'
+    description: 'Output model type (pydantic_v2.BaseModel, dataclasses.dataclass, typing.TypedDict, msgspec.Struct)'
     required: true
   check:
     description: 'Validate that existing output is up to date (no generation)'

docs/ci-cd.md

@@ -33,7 +33,7 @@ By default, the action runs in **check mode** (`--check`), which validates that
 | `input` | Yes | - | Input schema file or directory |
 | `output` | Yes | - | Output file or directory |
 | `input-file-type` | Yes | - | Input file type (`openapi`, `jsonschema`, `json`, `yaml`, `csv`, `graphql`) |
-| `output-model-type` | Yes | - | Output model type (`pydantic_v2.BaseModel`, `pydantic.BaseModel`, `dataclasses.dataclass`, `typing.TypedDict`, `msgspec.Struct`) |
+| `output-model-type` | Yes | - | Output model type (`pydantic_v2.BaseModel`, `dataclasses.dataclass`, `typing.TypedDict`, `msgspec.Struct`) |
 | `check` | No | `true` | Validate that existing output is up to date (no generation) |
 | `working-directory` | No | `.` | Working directory (where `pyproject.toml` is located) |
 | `profile` | No | - | Named profile from `pyproject.toml` |

docs/cli-reference/base-options.md

@@ -134,10 +134,8 @@ instead of generating duplicate classes from external schema files.
 
     from __future__ import annotations
 
-    from datetime import datetime
-    
     from mypackage.shared.models import Error, User
-    from pydantic import BaseModel
+    from pydantic import AwareDatetime, BaseModel
 
 
     class UserResponse(BaseModel):
@@ -147,7 +145,7 @@ instead of generating duplicate classes from external schema files.
 
     class ErrorResponse(BaseModel):
         error: Error
-        timestamp: datetime
+        timestamp: AwareDatetime
     ```
 
 ---
@@ -257,7 +255,7 @@ not `--input-file-type yaml`. The `yaml` type treats the file as raw data and in
         
         from __future__ import annotations
         
-        from pydantic import BaseModel
+        from pydantic import BaseModel, Field
         
         
         class Pet(BaseModel):
@@ -266,7 +264,7 @@ not `--input-file-type yaml`. The `yaml` type treats the file as raw data and in
         
         
         class Model(BaseModel):
-            Pet: Pet
+            Pet_1: Pet = Field(..., alias='Pet')
         ```
 
     === "YAML"
@@ -288,7 +286,7 @@ not `--input-file-type yaml`. The `yaml` type treats the file as raw data and in
         
         from __future__ import annotations
         
-        from pydantic import BaseModel
+        from pydantic import BaseModel, Field
         
         
         class Pet(BaseModel):
@@ -297,7 +295,7 @@ not `--input-file-type yaml`. The `yaml` type treats the file as raw data and in
         
         
         class Model(BaseModel):
-            Pet: Pet
+            Pet_1: Pet = Field(..., alias='Pet')
         ```
 
 ---