Fix pydantic constraint rendering

src/datamodel_code_generator/format.py

@@ -716,10 +716,17 @@ def _is_union(node: ast.AST) -> TypeGuard[ast.Subscript]:
     return isinstance(node, ast.Subscript) and _is_name_or_attr(node.value, "Union")
 
 
+_CONSTRAINED_CALL_NAMES = frozenset({"conbytes", "condecimal", "confloat", "conint", "conlist", "conset", "constr"})
+
+
 def _is_constrained_string_call(node: ast.AST | None) -> TypeGuard[ast.Call]:
     return _is_call(node, "constr")
 
 
+def _is_constrained_call(node: ast.AST | None) -> TypeGuard[ast.Call]:
+    return any(_is_call(node, name) for name in _CONSTRAINED_CALL_NAMES)
+
+
 def _contains_constrained_string_call(node: ast.AST) -> bool:
     return any(_is_constrained_string_call(child) for child in ast.walk(node))
 
@@ -738,7 +745,7 @@ def _is_simple_union_annotation(node: ast.AST) -> bool:
     return isinstance(node, ast.Name | ast.Attribute) or (isinstance(node, ast.Constant) and node.value is None)
 
 
-def _should_format_constrained_string_union(
+def _should_format_constrained_call_union(
     annotation: ast.AST,
     value: ast.AST | None,
     annotation_prefix: str,
@@ -747,9 +754,9 @@ def _should_format_constrained_string_union(
 ) -> TypeGuard[ast.BinOp]:
     if not isinstance(annotation, ast.BinOp) or not isinstance(annotation.op, ast.BitOr) or value is None:
         return False
-    if not (_is_constrained_string_call(annotation.left) or _is_constrained_string_call(annotation.right)):
+    if not (_is_constrained_call(annotation.left) or _is_constrained_call(annotation.right)):
         return False
-    constrained_call = annotation.left if _is_constrained_string_call(annotation.left) else annotation.right
+    constrained_call = annotation.left if _is_constrained_call(annotation.left) else annotation.right
     return (
         not _is_call(value, "Field")
         or len(annotation_prefix) > line_length
@@ -1010,7 +1017,7 @@ def _format_generated_annotation_assignment(  # noqa: PLR0911, PLR0912
     value_prefix = f"{annotation_prefix} = "
     if statement.value is None and _is_list_of_annotated(statement.annotation):
         return f"{target_prefix}{_format_list_of_annotated(statement.annotation, indent, line_length, source)}"
-    if _should_format_constrained_string_union(
+    if _should_format_constrained_call_union(
         statement.annotation,
         statement.value,
         annotation_prefix,
@@ -1020,7 +1027,7 @@ def _format_generated_annotation_assignment(  # noqa: PLR0911, PLR0912
         assert statement.value is not None
         value = _source_segment(source, statement.value)
         return (
-            f"{target_prefix}{_format_constrained_string_union(statement.annotation, indent, line_length, source)}"
+            f"{target_prefix}{_format_constrained_call_union(statement.annotation, indent, line_length, source)}"
             f" = {value}"
         )
     if _should_format_field_bit_or_annotation_assignment(
@@ -1224,21 +1231,21 @@ def _format_generated_class_statement(
     return None
 
 
-def _format_constrained_string_union(
+def _format_constrained_call_union(
     annotation: ast.BinOp,
     indent: str,
     line_length: int,
     source: str,
 ) -> str:
     left = annotation.left
     right = annotation.right
-    if _is_constrained_string_call(left):
+    if _is_constrained_call(left):
         formatted_left = _format_constrained_call(left, f"{indent}    ", line_length, source)
         inline_union = f"{formatted_left} | {_source_segment(source, right)}"
         if "\n" not in formatted_left and len(f"{indent}    {inline_union}") <= line_length:
             return f"(\n{indent}    {inline_union}\n{indent})"
         return f"(\n{indent}    {formatted_left}\n{indent}    | {_source_segment(source, right)}\n{indent})"
-    if _is_constrained_string_call(right):
+    if _is_constrained_call(right):
         return f"{_source_segment(source, left)} | {_format_constrained_call(right, indent, line_length, source)}"
     return _source_segment(source, annotation)  # pragma: no cover
 

src/datamodel_code_generator/model/__init__.py

@@ -11,6 +11,7 @@
 
 from datamodel_code_generator import PythonVersion
 
+from .base import UNDEFINED as UNDEFINED
 from .base import ConstraintsBase, DataModel, DataModelFieldBase, _rebuild_model_with_datamodel_namespace
 
 if TYPE_CHECKING:

src/datamodel_code_generator/model/base.py

@@ -26,6 +26,7 @@
     IMPORT_UNION,
     Import,
 )
+from datamodel_code_generator.python_literal import represent_python_value
 from datamodel_code_generator.reference import Reference, _BaseModel
 from datamodel_code_generator.types import (
     ANY,
@@ -468,9 +469,7 @@ def method(self) -> str | None:
     @property
     def represented_default(self) -> str:
         """Get the repr() string of the default value."""
-        if isinstance(self.default, set):
-            return repr_set_sorted(self.default)
-        return repr(self.default)
+        return represent_python_value(self.default)
 
     @property
     def annotated(self) -> str | None:

src/datamodel_code_generator/model/pydantic_base.py

@@ -15,13 +15,19 @@
 from datamodel_code_generator import cached_path_exists
 from datamodel_code_generator.imports import Import
 from datamodel_code_generator.model import (
+    UNDEFINED,
     ConstraintsBase,
     DataModel,
     DataModelFieldBase,
     _rebuild_model_with_datamodel_namespace,
 )
-from datamodel_code_generator.model.base import UNDEFINED, repr_set_sorted
-from datamodel_code_generator.types import UnionIntFloat, chain_as_tuple
+from datamodel_code_generator.python_literal import represent_python_value
+from datamodel_code_generator.types import (
+    UnionIntFloat,
+    chain_as_tuple,
+    merge_normalized_constraint,
+    normalize_integer_constraint,
+)
 
 # Defined here instead of importing from pydantic_v2.imports to avoid circular import
 # (pydantic_base -> pydantic_v2.imports -> pydantic_v2/__init__ -> pydantic_v2.base_model -> pydantic_base)
@@ -68,6 +74,7 @@
         "regex",
     }
     _COMPARE_EXPRESSIONS: ClassVar[set[str]] = {"gt", "ge", "lt", "le"}
+    _INTEGER_CONSTRAINTS: ClassVar[set[str]] = _COMPARE_EXPRESSIONS | {"multiple_of"}
     constraints: Optional[Constraints] = None  # noqa: UP045
     _PARSE_METHOD: ClassVar[str] = "model_validate"
 
@@ -138,26 +145,43 @@
             return True
         return bool(self.nullable and self.required and not self.use_default_with_required)
 
-    def _has_float_data_type(self) -> bool:
-        """Check whether any nested data type is float-like."""
+    def _has_numeric_data_type(self, type_name: str, strict_import_part: str) -> bool:
+        """Return whether any field data type is the given builtin or strict numeric type."""
         return any(
-            data_type.type == "float"
-            or (data_type.strict and data_type.import_ and "Float" in data_type.import_.import_)
+            data_type.type == type_name
+            or (data_type.strict and data_type.import_ and strict_import_part in data_type.import_.import_)
             for data_type in self.data_type.all_data_types
         )
 
-    def _get_strict_field_constraint_value(self, constraint: str, value: Any, *, is_float_type: bool) -> Any:
-        if value is None or constraint not in self._COMPARE_EXPRESSIONS:
-            return value
+    def _get_strict_field_constraint(
+        self, constraint: str, value: Any, *, is_float_type: bool, is_int_type: bool
+    ) -> tuple[str, Any] | None:
+        if value is None or constraint not in self._INTEGER_CONSTRAINTS:
+            return constraint, value
         if is_float_type:
-            return float(value)
-        str_value = str(value)
-        if "e" in str_value.lower():  # pragma: no cover
-            # Scientific notation like 1e-08 - keep as float
-            return float(value)
-        if isinstance(value, int) and not isinstance(value, bool):
-            return value
-        return int(value)
+            return constraint, float(value)
+        if is_int_type:
+            return normalize_integer_constraint(constraint, value)
+        if isinstance(value, float) and value.is_integer():
+            return constraint, int(value)
+        return constraint, value
+
+    def _get_normalized_constraint_data(self) -> dict[str, Any]:
+        """Build constraint data with integer-safe values, merging colliding bounds."""
+        assert self.constraints is not None
+        dumped = self.constraints._exclude_unset_dump  # noqa: SLF001
+        has_integer_constraints = bool(self._INTEGER_CONSTRAINTS & dumped.keys())
+        is_float_type = has_integer_constraints and self._has_numeric_data_type("float", "Float")
+        is_int_type = has_integer_constraints and not is_float_type and self._has_numeric_data_type("int", "Int")
+        constraint_data: dict[str, Any] = {}
+        for k, v in dumped.items():
+            if (
+                normalized := self._get_strict_field_constraint(
+                    k, v, is_float_type=is_float_type, is_int_type=is_int_type
+                )
+            ) is not None:
+                merge_normalized_constraint(constraint_data, normalized[0], normalized[1])
+        return constraint_data
 
     def _get_default_factory_for_optional_nested_model(self) -> str | None:
         """Get default_factory for optional nested Pydantic model fields.
@@ -196,12 +220,7 @@
             if any(d.import_ == IMPORT_ANYURL for d in self.data_type.all_data_types):
                 constraint_data: dict[str, Any] = {}
             else:
-                dumped = self.constraints._exclude_unset_dump  # noqa: SLF001
-                is_float_type = bool(self._COMPARE_EXPRESSIONS & dumped.keys()) and self._has_float_data_type()
-                constraint_data = {
-                    k: self._get_strict_field_constraint_value(k, v, is_float_type=is_float_type)
-                    for k, v in dumped.items()
-                }
+                constraint_data = self._get_normalized_constraint_data()
             data = {**data, **constraint_data}
 
         if self.use_field_description:
@@ -239,7 +258,7 @@
         """Return Field() call with all constraints and metadata."""
         data, default_factory = self._get_field_data_and_default_factory()
 
-        field_arguments = sorted(f"{k}={v!r}" for k, v in data.items() if v is not None)
+        field_arguments = sorted(f"{k}={represent_python_value(v)}" for k, v in data.items() if v is not None)
 
         if not field_arguments and not default_factory:
             if self.nullable and self.required and not self.use_default_with_required:
@@ -259,13 +278,13 @@
         ):
             field_arguments = ["...", *field_arguments]
         elif not default_factory:
-            default_repr = repr_set_sorted(self.default) if isinstance(self.default, set) else repr(self.default)
+            default_repr = represent_python_value(self.default)
             field_arguments = [default_repr, *field_arguments]
 
         if self.is_class_var:
             if self.default is UNDEFINED:  # pragma: no cover
                 return ""
-            return repr_set_sorted(self.default) if isinstance(self.default, set) else repr(self.default)
+            return represent_python_value(self.default)
 
         return f"Field({', '.join(field_arguments)})"
 

src/datamodel_code_generator/model/pydantic_v2/types.py

@@ -5,6 +5,7 @@
 
 from __future__ import annotations
 
+import ast
 from decimal import Decimal
 from typing import TYPE_CHECKING, Any, ClassVar
 
@@ -65,11 +66,13 @@
     IMPORT_UUID4,
     IMPORT_UUID5,
 )
+from datamodel_code_generator.python_literal import PythonCode
 from datamodel_code_generator.types import (
     DataType,
     StrictTypes,
     Types,
     UnionIntFloat,
+    normalize_integer_constraints,
 )
 from datamodel_code_generator.types import DataTypeManager as _DataTypeManagerBase
 
@@ -126,8 +129,7 @@ def type_map_factory(
             IMPORT_CONSTR,
             strict=StrictTypes.str in strict_types,
             kwargs={
-                pattern_key: r"r'^(([a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])\.)*"
-                r"([A-Za-z0-9]|[A-Za-z0-9][A-Za-z0-9\-]{0,61}[A-Za-z0-9])\Z'",
+                pattern_key: _get_regex_literal(HOSTNAME_REGEX),
                 **({"strict": True} if StrictTypes.str in strict_types else {}),
             },
         ),
@@ -188,6 +190,16 @@ def strict_type_map_factory(data_type: type[DataType]) -> dict[StrictTypes, Data
 )
 
 
+def _get_regex_literal(pattern: str) -> str:
+    escaped_regex = pattern.translate(escape_characters)
+    raw_literal = f"r'{escaped_regex}'"
+    try:
+        ast.literal_eval(raw_literal)
+    except SyntaxError:
+        return pattern
+    return PythonCode(raw_literal, pattern)
+
+
 class _PydanticDataTypeManager(_DataTypeManagerBase):
     """Base data type manager for Pydantic models with constrained types."""
 
@@ -299,7 +311,12 @@ def get_data_int_type(  # noqa: PLR0911
                     return self.data_type.from_import(IMPORT_NON_NEGATIVE_INT)
                 if data_type_kwargs == {"le": 0} and self.use_non_positive_negative_number_constrained_types:
                     return self.data_type.from_import(IMPORT_NON_POSITIVE_INT)
-            kwargs = {k: int(v) for k, v in data_type_kwargs.items()}
+            if not (kwargs := normalize_integer_constraints(data_type_kwargs)):
+                return (
+                    self.copy_data_type(self.strict_type_map[StrictTypes.int])
+                    if strict
+                    else self.copy_data_type(self.type_map[types])
+                )
             if strict:
                 kwargs["strict"] = True
             return self.data_type.from_import(IMPORT_CONINT, kwargs=kwargs)
@@ -362,9 +379,7 @@ def get_data_str_type(self, types: Types, **kwargs: Any) -> DataType:
             if strict:
                 data_type_kwargs["strict"] = True  # ty: ignore
             if self.PATTERN_KEY in data_type_kwargs:
-                escaped_regex = data_type_kwargs[self.PATTERN_KEY].translate(escape_characters)
-                # TODO: remove unneeded escaped characters
-                data_type_kwargs[self.PATTERN_KEY] = f"r'{escaped_regex}'"
+                data_type_kwargs[self.PATTERN_KEY] = _get_regex_literal(data_type_kwargs[self.PATTERN_KEY])
             return self.data_type.from_import(IMPORT_CONSTR, kwargs=data_type_kwargs)
         if strict:
             return self.copy_data_type(self.strict_type_map[StrictTypes.str])
@@ -523,8 +538,7 @@ def type_map_factory(  # noqa: PLR0913, PLR0917
                 IMPORT_CONSTR,
                 strict=StrictTypes.str in strict_types,
                 kwargs={
-                    pattern_key: r"r'^(([a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])\.)*"
-                    r"([A-Za-z0-9]|[A-Za-z0-9][A-Za-z0-9\-]{0,61}[A-Za-z0-9])$'",
+                    pattern_key: _get_regex_literal(HOSTNAME_REGEX),
                     **({"strict": True} if StrictTypes.str in strict_types else {}),
                 },
             ),

src/datamodel_code_generator/python_literal.py

@@ -0,0 +1,53 @@
+"""Helpers for rendering Python source literals."""
+
+from __future__ import annotations
+
+from math import isfinite, isnan
+from typing import Any
+
+from typing_extensions import Self
+
+
+class PythonCode(str):  # noqa: FURB189 - must behave as str for regex consumers.
+    """Python expression rendered without extra quoting."""
+
+    code: str
+    __slots__ = ("code",)
+
+    def __new__(cls, code: str, value: str | None = None) -> Self:
+        """Initialize with a raw Python expression and optional string value."""
+        obj = super().__new__(cls, code if value is None else value)
+        obj.code = code
+        return obj
+
+    def __repr__(self) -> str:
+        """Render the wrapped expression."""
+        return self.code
+
+
+def represent_python_value(value: Any) -> str:  # noqa: PLR0911
+    """Render a value as a Python expression safe for generated source."""
+    match value:
+        case PythonCode():
+            return value.code
+        case float() if isnan(value):
+            return "float('nan')"
+        case float() if not isfinite(value):
+            return "float('inf')" if value > 0 else "float('-inf')"
+        case dict():
+            rendered_items = ", ".join(
+                f"{represent_python_value(key)}: {represent_python_value(item)}" for key, item in value.items()
+            )
+            return f"{{{rendered_items}}}"
+        case list():
+            return "[" + ", ".join(represent_python_value(item) for item in value) + "]"
+        case tuple():
+            rendered_items = ", ".join(represent_python_value(item) for item in value)
+            trailing_comma = "," if len(value) == 1 else ""
+            return f"({rendered_items}{trailing_comma})"
+        case set() if not value:
+            return "set()"
+        case set():
+            sorted_items = sorted(value, key=lambda item: (type(item).__name__, repr(item)))
+            return "{" + ", ".join(represent_python_value(item) for item in sorted_items) + "}"
+    return repr(value)