mirror of
https://github.com/kennethreitz/pydantic.git
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e4b285a0cd
* support custom root types * update HISTORY.rst for costom root types * fix invalid arguments case * remove the keyword argument of "__root__" in __init__ add a keyword argument of "__root__" in parse_obj fix documents create a method for cheking valid field name * fix parse_obj * Update docs/index.rst Co-Authored-By: Samuel Colvin <samcolvin@gmail.com> * Apply suggestions from code review Co-Authored-By: Samuel Colvin <samcolvin@gmail.com> * add type cheking for custom root type * Update docs/index.rst Co-Authored-By: Samuel Colvin <samcolvin@gmail.com> * Update index.rst
135 lines
3.6 KiB
Python
135 lines
3.6 KiB
Python
import pickle
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from typing import List, Union
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import pytest
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from pydantic import BaseModel, Protocol, Schema, ValidationError
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class Model(BaseModel):
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a: float
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b: int = 10
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def test_obj():
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m = Model.parse_obj(dict(a=10.2))
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assert str(m) == 'Model a=10.2 b=10'
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def test_parse_obj_fails():
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with pytest.raises(ValidationError) as exc_info:
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Model.parse_obj([1, 2, 3])
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assert exc_info.value.errors() == [
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{'loc': ('__obj__',), 'msg': 'Model expected dict not list', 'type': 'type_error'}
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]
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def test_parse_obj_submodel():
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m = Model.parse_obj(Model(a=10.2))
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assert m.dict() == {'a': 10.2, 'b': 10}
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def test_parse_obj_wrong_model():
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class Foo(BaseModel):
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c = 123
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with pytest.raises(ValidationError) as exc_info:
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Model.parse_obj(Foo())
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assert exc_info.value.errors() == [{'loc': ('a',), 'msg': 'field required', 'type': 'value_error.missing'}]
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def test_parse_obj_root():
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class MyModel(BaseModel):
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__root__: str
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m = MyModel.parse_obj('a')
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assert m.dict() == {'__root__': 'a'}
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assert m.__root__ == 'a'
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def test_parse_root_list():
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class MyModel(BaseModel):
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__root__: List[str]
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m = MyModel.parse_obj(['a'])
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assert m.dict() == {'__root__': ['a']}
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assert m.__root__ == ['a']
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def test_json():
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assert Model.parse_raw('{"a": 12, "b": 8}') == Model(a=12, b=8)
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def test_json_ct():
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assert Model.parse_raw('{"a": 12, "b": 8}', content_type='application/json') == Model(a=12, b=8)
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def test_pickle_ct():
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data = pickle.dumps(dict(a=12, b=8))
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assert Model.parse_raw(data, content_type='application/pickle', allow_pickle=True) == Model(a=12, b=8)
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def test_pickle_proto():
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data = pickle.dumps(dict(a=12, b=8))
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assert Model.parse_raw(data, proto=Protocol.pickle, allow_pickle=True) == Model(a=12, b=8)
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def test_pickle_not_allowed():
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data = pickle.dumps(dict(a=12, b=8))
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with pytest.raises(RuntimeError):
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Model.parse_raw(data, proto=Protocol.pickle)
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def test_bad_ct():
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with pytest.raises(ValidationError) as exc_info:
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Model.parse_raw('{"a": 12, "b": 8}', content_type='application/missing')
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assert exc_info.value.errors() == [
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{'loc': ('__obj__',), 'msg': 'Unknown content-type: application/missing', 'type': 'type_error'}
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]
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def test_bad_proto():
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with pytest.raises(ValidationError) as exc_info:
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Model.parse_raw('{"a": 12, "b": 8}', proto='foobar')
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assert exc_info.value.errors() == [{'loc': ('__obj__',), 'msg': 'Unknown protocol: foobar', 'type': 'type_error'}]
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def test_file_json(tmpdir):
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p = tmpdir.join('test.json')
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p.write('{"a": 12, "b": 8}')
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assert Model.parse_file(str(p)) == Model(a=12, b=8)
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def test_file_json_no_ext(tmpdir):
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p = tmpdir.join('test')
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p.write('{"a": 12, "b": 8}')
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assert Model.parse_file(str(p)) == Model(a=12, b=8)
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def test_file_pickle(tmpdir):
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p = tmpdir.join('test.pkl')
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p.write_binary(pickle.dumps(dict(a=12, b=8)))
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assert Model.parse_file(str(p), allow_pickle=True) == Model(a=12, b=8)
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def test_file_pickle_no_ext(tmpdir):
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p = tmpdir.join('test')
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p.write_binary(pickle.dumps(dict(a=12, b=8)))
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assert Model.parse_file(str(p), content_type='application/pickle', allow_pickle=True) == Model(a=12, b=8)
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def test_const_differentiates_union():
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class SubModelA(BaseModel):
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key: str = Schema('A', const=True)
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foo: int
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class SubModelB(BaseModel):
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key: str = Schema('B', const=True)
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foo: int
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class Model(BaseModel):
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a: Union[SubModelA, SubModelB]
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m = Model.parse_obj({'a': {'key': 'B', 'foo': 3}})
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assert isinstance(m.a, SubModelB)
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