2023-08-22 15:15:04 +02:00
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"""
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This module implements a lightweight and limited alternative
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to pydantic's BaseModel and Field classes.
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It works on python 3.6+.
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This module IS NOT a supported API, it is meant for osc internal use only.
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"""
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2024-01-03 21:21:40 +01:00
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import copy
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2023-08-22 15:15:04 +02:00
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import inspect
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import sys
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import types
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from typing import get_type_hints
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# supported types
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2024-01-23 20:05:17 +01:00
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from enum import Enum
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2023-08-22 15:15:04 +02:00
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from typing import Any
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from typing import Dict
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from typing import List
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from typing import NewType
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from typing import Optional
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from typing import Tuple
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from typing import Union
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if sys.version_info < (3, 8):
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def get_origin(typ):
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result = getattr(typ, "__origin__", None)
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bases = getattr(result, "__orig_bases__", None)
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if bases:
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result = bases[0]
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return result
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else:
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from typing import get_origin
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__all__ = (
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"BaseModel",
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"Field",
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"NotSet",
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"FromParent",
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"Enum",
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"Dict",
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"List",
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"NewType",
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"Optional",
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"Tuple",
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"Union",
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)
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class NotSetClass:
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def __repr__(self):
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return "NotSet"
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def __bool__(self):
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return False
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NotSet = NotSetClass()
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class FromParent(NotSetClass):
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def __init__(self, field_name):
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self.field_name = field_name
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def __repr__(self):
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return f"FromParent(field_name={self.field_name})"
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class Field(property):
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def __init__(
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self,
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default: Any = NotSet,
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description: Optional[str] = None,
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exclude: bool = False,
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**extra,
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):
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# the default value; it can be a factory function that is lazily evaluated on the first use
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# model sets it to None if it equals to NotSet (for better usability)
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self.default = default
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2023-12-01 16:20:55 +01:00
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# a flag indicating, whether the default is a callable with lazy evalution
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self.default_is_lazy = callable(self.default)
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2023-08-22 15:15:04 +02:00
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# the name of model's attribute associated with this field instance - set from the model
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self.name = None
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# the type of this field instance - set from the model
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self.type = None
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# the description of the field
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self.description = description
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# docstring - for sphinx and help()
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self.__doc__ = self.description
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if self.__doc__:
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# append information about the default value
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if isinstance(self.default, FromParent):
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self.__doc__ += f"\n\nDefault: inherited from parent config's field ``{self.default.field_name}``"
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elif self.default is not NotSet:
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self.__doc__ += f"\n\nDefault: ``{self.default}``"
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# whether to exclude this field from export
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self.exclude = exclude
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# extra fields
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self.extra = extra
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# create an instance specific of self.get() so we can annotate it in the model
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self.get_copy = types.FunctionType(
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self.get.__code__,
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self.get.__globals__,
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self.get.__name__,
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self.get.__defaults__,
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self.get.__closure__,
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)
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# turn function into a method by binding it to the instance
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self.get_copy = types.MethodType(self.get_copy, self)
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super().__init__(fget=self.get_copy, fset=self.set, doc=description)
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@property
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def origin_type(self):
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origin_type = get_origin(self.type) or self.type
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if self.is_optional:
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types = [i for i in self.type.__args__ if i != type(None)]
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2024-01-23 20:05:11 +01:00
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return get_origin(types[0]) or types[0]
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return origin_type
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@property
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def is_optional(self):
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origin_type = get_origin(self.type) or self.type
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return origin_type == Union and len(self.type.__args__) == 2 and type(None) in self.type.__args__
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@property
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def is_model(self):
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return inspect.isclass(self.origin_type) and issubclass(self.origin_type, BaseModel)
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def validate_type(self, value, expected_types=None):
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if not expected_types and self.is_optional and value is None:
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return True
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if expected_types is None:
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expected_types = (self.type,)
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elif not isinstance(expected_types, (list, tuple)):
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expected_types = (expected_types,)
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valid_type = False
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for expected_type in expected_types:
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if valid_type:
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break
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origin_type = get_origin(expected_type) or expected_type
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# unwrap Union
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if origin_type == Union:
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if value is None and type(None) in expected_type.__args__:
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valid_type = True
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continue
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valid_type |= self.validate_type(value, expected_types=expected_type.__args__)
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continue
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# unwrap NewType
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if (callable(NewType) or isinstance(origin_type, NewType)) and hasattr(origin_type, "__supertype__"):
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valid_type |= self.validate_type(value, expected_types=(origin_type.__supertype__,))
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continue
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if (
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inspect.isclass(expected_type)
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and issubclass(expected_type, BaseModel)
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and isinstance(value, (expected_type, dict))
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):
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valid_type = True
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continue
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2024-01-23 20:05:17 +01:00
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if (
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inspect.isclass(expected_type)
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and issubclass(expected_type, Enum)
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):
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# test if the value is part of the enum
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expected_type(value)
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valid_type = True
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continue
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2023-08-22 15:15:04 +02:00
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if not isinstance(value, origin_type):
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msg = f"Field '{self.name}' has type '{self.type}'. Cannot assign a value with type '{type(value).__name__}'."
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raise TypeError(msg)
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# the type annotation has no arguments -> no need to check those
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if not getattr(expected_type, "__args__", None):
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valid_type = True
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continue
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if origin_type in (list, tuple):
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valid_type_items = True
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for i in value:
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valid_type_items &= self.validate_type(i, expected_type.__args__)
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valid_type |= valid_type_items
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elif origin_type in (dict,):
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valid_type_items = True
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for k, v in value.items():
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valid_type_items &= self.validate_type(k, expected_type.__args__[0])
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valid_type_items &= self.validate_type(v, expected_type.__args__[1])
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valid_type |= valid_type_items
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else:
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raise TypeError(f"Field '{self.name}' has unsupported type '{self.type}'.")
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return valid_type
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def get(self, obj):
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try:
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2024-01-03 21:21:29 +01:00
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return obj._values[self.name]
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except KeyError:
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2023-08-22 15:15:04 +02:00
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pass
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2024-01-03 21:21:40 +01:00
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try:
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return obj._defaults[self.name]
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except KeyError:
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pass
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2023-08-22 15:15:04 +02:00
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if isinstance(self.default, FromParent):
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if obj._parent is None:
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raise RuntimeError(f"The field '{self.name}' has default {self.default} but the model has no parent set")
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return getattr(obj._parent, self.default.field_name or self.name)
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if self.default is NotSet:
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raise RuntimeError(f"The field '{self.name}' has no default")
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2024-01-03 21:21:40 +01:00
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# make a deepcopy to avoid problems with mutable defaults
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default = copy.deepcopy(self.default)
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2023-08-22 15:15:04 +02:00
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# lazy evaluation of a factory function on first use
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if callable(default):
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default = default()
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2023-08-22 15:15:04 +02:00
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# if this is a model field, convert dict to a model instance
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2024-01-03 21:21:40 +01:00
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if self.is_model and isinstance(default, dict):
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cls = self.origin_type
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new_value = cls() # pylint: disable=not-callable
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for k, v in default.items():
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2023-08-22 15:15:04 +02:00
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setattr(new_value, k, v)
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2024-01-03 21:21:40 +01:00
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default = new_value
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2023-08-22 15:15:04 +02:00
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2024-01-03 21:21:40 +01:00
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obj._defaults[self.name] = default
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return default
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2023-08-22 15:15:04 +02:00
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def set(self, obj, value):
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# if this is a model field, convert dict to a model instance
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if self.is_model and isinstance(value, dict):
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2024-01-23 20:05:24 +01:00
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# initialize a model instance from a dictionary
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klass = self.origin_type
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value = klass(**value) # pylint: disable=not-callable
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2023-08-22 15:15:04 +02:00
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self.validate_type(value)
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2024-01-03 21:21:29 +01:00
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obj._values[self.name] = value
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2023-08-22 15:15:04 +02:00
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class ModelMeta(type):
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def __new__(mcs, name, bases, attrs):
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new_cls = super().__new__(mcs, name, bases, attrs)
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new_cls.__fields__ = {}
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# NOTE: dir() doesn't preserve attribute order
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# we need to iterate through __mro__ classes to workaround that
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for parent_cls in reversed(new_cls.__mro__):
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for field_name in parent_cls.__dict__:
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if field_name in new_cls.__fields__:
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continue
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field = getattr(new_cls, field_name)
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if not isinstance(field, Field):
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continue
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new_cls.__fields__[field_name] = field
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# fill model specific details back to the fields
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for field_name, field in new_cls.__fields__.items():
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# property name associated with the field in this model
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field.name = field_name
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# field type associated with the field in this model
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field.type = get_type_hints(new_cls)[field_name]
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# set annotation for the getter so it shows up in sphinx
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field.get_copy.__func__.__annotations__ = {"return": field.type}
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# set 'None' as the default for optional fields
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if field.default is NotSet and field.is_optional:
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field.default = None
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return new_cls
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class BaseModel(metaclass=ModelMeta):
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__fields__: Dict[str, Field]
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2024-01-03 21:21:38 +01:00
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def __setattr__(self, name, value):
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if getattr(self, "_allow_new_attributes", True) or hasattr(self.__class__, name) or hasattr(self, name):
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# allow setting properties - test if they exist in the class
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# also allow setting existing attributes that were previously initialized via __dict__
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return super().__setattr__(name, value)
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raise AttributeError(f"Setting attribute '{self.__class__.__name__}.{name}' is not allowed")
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2023-08-22 15:15:04 +02:00
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def __init__(self, **kwargs):
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2024-01-03 21:21:40 +01:00
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self._defaults = {} # field defaults cached in field.get()
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self._values = {} # field values explicitly set after initializing the model
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2023-08-22 15:15:04 +02:00
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self._parent = kwargs.pop("_parent", None)
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uninitialized_fields = []
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for name, field in self.__fields__.items():
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if name not in kwargs:
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if field.default is NotSet:
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uninitialized_fields.append(field.name)
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continue
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value = kwargs.pop(name)
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setattr(self, name, value)
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if kwargs:
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unknown_fields_str = ", ".join([f"'{i}'" for i in kwargs])
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2024-01-23 20:05:33 +01:00
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raise TypeError(f"The following kwargs of '{self.__class__.__name__}.__init__()' do not match any field: {unknown_fields_str}")
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2023-08-22 15:15:04 +02:00
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if uninitialized_fields:
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uninitialized_fields_str = ", ".join([f"'{i}'" for i in uninitialized_fields])
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raise TypeError(
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2024-01-23 20:05:33 +01:00
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f"The following fields of '{self.__class__.__name__}' object are not initialized and have no default either: {uninitialized_fields_str}"
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2023-08-22 15:15:04 +02:00
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)
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for name, field in self.__fields__.items():
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field.validate_type(getattr(self, name))
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2024-01-03 21:21:38 +01:00
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self._allow_new_attributes = False
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2024-01-04 08:39:06 +01:00
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def dict(self):
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2023-08-22 15:15:04 +02:00
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result = {}
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for name, field in self.__fields__.items():
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if field.exclude:
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continue
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2024-01-23 20:05:28 +01:00
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value = getattr(self, name)
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if value is not None and field.is_model:
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result[name] = value.dict()
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2023-08-22 15:15:04 +02:00
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else:
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2024-01-23 20:05:28 +01:00
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result[name] = value
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2023-08-22 15:15:04 +02:00
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return result
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