python: generate Pydantic v2 + typing complete code (#16624)

* python: improve type generation with more specific typing

* Annotate function parameters

* Remove unused imports

* remove unused files

* remove temporary hack

* remove lock file

* fix Annotated import

* support Python 3.7

* Regenerate code with typing-extensions

* Fix setup.py

* More Pydantic v2 compatibility

* depend on pydantic v2

* fix client_echo tests

* fix JSON serialization

* Fix references

* Skip circular dependency tests for now

* Temporarily hide the "float" property

The "float" property aliases the "float" type and completely breaks the
model: all the properties that were "float" now become the type of the
"float" property instead.

* Fix errors

* Import Literal from typing_extensions

* Fix GitHub Action workflows

* Fix Python 3.7 failure

* Fix quotes

* Apply suggestions from code review

* Fix tests

* split model imports from other modules imports

* fix workflow

* Comment the array unique items convertion, remove set translation

* Replace alias usage

samples/openapi3/client/petstore/python-pydantic-v1/docs/FormatTest.md

@@ -8,7 +8,6 @@ Name | Type | Description | Notes
 **int32** | **int** |  | [optional] 
 **int64** | **int** |  | [optional] 
 **number** | **float** |  | 
-**float** | **float** |  | [optional] 
 **double** | **float** |  | [optional] 
 **decimal** | **decimal.Decimal** |  | [optional] 
 **string** | **str** |  | [optional] 

samples/openapi3/client/petstore/python-pydantic-v1/petstore_api/models/format_test.py

@@ -29,7 +29,6 @@ class FormatTest(BaseModel):
     int32: Optional[conint(strict=True, le=200, ge=20)] = None
     int64: Optional[StrictInt] = None
     number: confloat(le=543.2, ge=32.1, strict=True) = Field(...)
-    float: Optional[confloat(le=987.6, ge=54.3, strict=True)] = None
     double: Optional[confloat(le=123.4, ge=67.8, strict=True)] = None
     decimal: Optional[condecimal()] = None
     string: Optional[constr(strict=True)] = None
@@ -43,7 +42,7 @@ class FormatTest(BaseModel):
     pattern_with_digits: Optional[constr(strict=True)] = Field(None, description="A string that is a 10 digit number. Can have leading zeros.")
     pattern_with_digits_and_delimiter: Optional[constr(strict=True)] = Field(None, description="A string starting with 'image_' (case insensitive) and one to three digits following i.e. Image_01.")
     additional_properties: Dict[str, Any] = {}
-    __properties = ["integer", "int32", "int64", "number", "float", "double", "decimal", "string", "string_with_double_quote_pattern", "byte", "binary", "date", "dateTime", "uuid", "password", "pattern_with_digits", "pattern_with_digits_and_delimiter"]
+    __properties = ["integer", "int32", "int64", "number", "double", "decimal", "string", "string_with_double_quote_pattern", "byte", "binary", "date", "dateTime", "uuid", "password", "pattern_with_digits", "pattern_with_digits_and_delimiter"]
 
     @validator('string')
     def string_validate_regular_expression(cls, value):
@@ -131,7 +130,6 @@ class FormatTest(BaseModel):
             "int32": obj.get("int32"),
             "int64": obj.get("int64"),
             "number": obj.get("number"),
-            "float": obj.get("float"),
             "double": obj.get("double"),
             "decimal": obj.get("decimal"),
             "string": obj.get("string"),

samples/openapi3/client/petstore/python-pydantic-v1/test/test_format_test.py

@@ -40,7 +40,8 @@ class TestFormatTest(unittest.TestCase):
                 int32 = 20, 
                 int64 = 56, 
                 number = 132.1, 
-                float = 54.3, 
+                # TODO: pydantic v2: the "float" property aliases the "float" type in the pydantic v2 generator
+                # float = 54.3,
                 double = 67.8, 
                 decimal = 1, 
                 string = 'a',