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https://github.com/kennethreitz/pydantic.git
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Stefan Gangefors
c32ce342c9
Using `model.copy(deep=True)` will deep copy a module instance. Making a deep copy is useful for models that have lists of dicts or any other non-simple data structure to not accidentally modify data between instances. `model.copy()` behaviour is unchanged and will do a shallow copy of the model instance. fix #249
42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
from pydantic import BaseModel
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class BarModel(BaseModel):
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whatever: int
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class FooBarModel(BaseModel):
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banana: float
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foo: str
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bar: BarModel
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m = FooBarModel(banana=3.14, foo='hello', bar={'whatever': 123})
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print(m.dict())
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# (returns a dictionary)
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# > {'banana': 3.14, 'foo': 'hello', 'bar': {'whatever': 123}}
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print(m.dict(include={'foo', 'bar'}))
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# > {'foo': 'hello', 'bar': {'whatever': 123}}
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print(m.dict(exclude={'foo', 'bar'}))
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# > {'banana': 3.14}
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print(m.copy())
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# > FooBarModel banana=3.14 foo='hello' bar=<BarModel whatever=123>
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print(m.copy(include={'foo', 'bar'}))
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# > FooBarModel foo='hello' bar=<BarModel whatever=123>
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print(m.copy(exclude={'foo', 'bar'}))
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# > FooBarModel banana=3.14
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print(m.copy(update={'banana': 0}))
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# > FooBarModel banana=0 foo='hello' bar=<BarModel whatever=123>
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print(id(m.bar), id(m.copy().bar))
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# normal copy gives the same object reference for `bar`
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# > 140494497582280 140494497582280
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print(id(m.bar), id(m.copy(deep=True).bar))
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# deep copy gives a new object reference for `bar`
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# > 140494497582280 140494497582856
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