Classgen: export field type definitions
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@@ -65,8 +65,8 @@ def field_def_from_default_type(
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field_name: str,
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field_name: str,
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field_types: set[str],
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field_types: set[str],
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class_name: str,
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class_name: str,
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finalize_field: Callable[..., str],
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finalize_field: Callable[..., tuple[str, str]],
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) -> str | None:
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) -> tuple[str, str] | None:
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if "dict" in str(field_types):
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if "dict" in str(field_types):
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return finalize_field(
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return finalize_field(
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field_types=field_types,
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field_types=field_types,
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@@ -127,8 +127,8 @@ def field_def_from_default_value(
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field_name: str,
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field_name: str,
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field_types: set[str],
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field_types: set[str],
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nested_class_name: str,
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nested_class_name: str,
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finalize_field: Callable[..., str],
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finalize_field: Callable[..., tuple[str, str]],
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) -> str | None:
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) -> tuple[str, str] | None:
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# default_value = prop_info.get("default")
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# default_value = prop_info.get("default")
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if default_value is None:
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if default_value is None:
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return finalize_field(
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return finalize_field(
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@@ -184,7 +184,7 @@ def get_field_def(
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default: str | None = None,
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default: str | None = None,
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default_factory: str | None = None,
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default_factory: str | None = None,
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type_appendix: str = "",
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type_appendix: str = "",
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) -> str:
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) -> tuple[str, str]:
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if "None" in field_types or default or default_factory:
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if "None" in field_types or default or default_factory:
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if "None" in field_types:
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if "None" in field_types:
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field_types.remove("None")
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field_types.remove("None")
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@@ -193,7 +193,7 @@ def get_field_def(
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else:
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else:
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serialised_types = " | ".join(field_types) + type_appendix
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serialised_types = " | ".join(field_types) + type_appendix
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return f"{field_name}: {serialised_types}"
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return (field_name, serialised_types)
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# Recursive function to generate dataclasses from JSON schema
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# Recursive function to generate dataclasses from JSON schema
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@@ -204,8 +204,8 @@ def generate_dataclass(
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) -> str:
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) -> str:
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properties = schema.get("properties", {})
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properties = schema.get("properties", {})
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required_fields = []
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required_fields: list[tuple[str, str]] = []
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fields_with_default = []
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fields_with_default: list[tuple[str, str]] = []
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nested_classes: list[str] = []
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nested_classes: list[str] = []
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# if We are at the top level, and the attribute name is in shallow
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# if We are at the top level, and the attribute name is in shallow
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@@ -218,7 +218,7 @@ def generate_dataclass(
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field_name = prop.replace("-", "_")
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field_name = prop.replace("-", "_")
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if len(attr_path) == 0 and prop not in attrs:
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if len(attr_path) == 0 and prop not in attrs:
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field_def = f"{field_name}: NotRequired[dict[str, Any]]"
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field_def = field_name, "NotRequired[dict[str, Any]]"
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fields_with_default.append(field_def)
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fields_with_default.append(field_def)
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# breakpoint()
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# breakpoint()
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continue
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continue
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@@ -345,9 +345,18 @@ def generate_dataclass(
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)
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)
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required_fields.append(field_def)
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required_fields.append(field_def)
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# breakpoint()
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# Join field name with type to form a complete field declaration
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# e.g. "name: str"
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fields_str = "\n ".join(required_fields + fields_with_default)
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all_field_declarations = [
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f"{n}: {t}" for n, t in (required_fields + fields_with_default)
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]
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hoisted_types: str = "\n".join(
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[
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f"{class_name}{n.capitalize()}Type = {x}"
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for n, x in (required_fields + fields_with_default)
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]
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)
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fields_str = "\n ".join(all_field_declarations)
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nested_classes_str = "\n\n".join(nested_classes)
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nested_classes_str = "\n\n".join(nested_classes)
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class_def = f"\nclass {class_name}(TypedDict):\n"
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class_def = f"\nclass {class_name}(TypedDict):\n"
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@@ -356,6 +365,8 @@ def generate_dataclass(
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else:
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else:
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class_def += f" {fields_str}"
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class_def += f" {fields_str}"
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class_def += f"\n\n{hoisted_types}\n"
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return f"{nested_classes_str}\n\n{class_def}" if nested_classes_str else class_def
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return f"{nested_classes_str}\n\n{class_def}" if nested_classes_str else class_def
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