test_pydantic_output_parser_type_inference() — langchain Function Reference
Architecture documentation for the test_pydantic_output_parser_type_inference() function in test_pydantic_parser.py from the langchain codebase.
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graph TD 27e2fccd_4a9c_ece3_f32c_f7314d68a919["test_pydantic_output_parser_type_inference()"] 70078932_b952_16ac_83c5_c9026d556e63["test_pydantic_parser.py"] 27e2fccd_4a9c_ece3_f32c_f7314d68a919 -->|defined in| 70078932_b952_16ac_83c5_c9026d556e63 style 27e2fccd_4a9c_ece3_f32c_f7314d68a919 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/output_parsers/test_pydantic_parser.py lines 168–188
def test_pydantic_output_parser_type_inference() -> None:
"""Test pydantic output parser type inference."""
class SampleModel(BaseModel):
foo: int
bar: str
# Ignoring mypy error that appears in python 3.8, but not 3.11.
# This seems to be functionally correct, so we'll ignore the error.
pydantic_parser = PydanticOutputParser[SampleModel](pydantic_object=SampleModel)
schema = pydantic_parser.get_output_schema().model_json_schema()
assert schema == {
"properties": {
"bar": {"title": "Bar", "type": "string"},
"foo": {"title": "Foo", "type": "integer"},
},
"required": ["foo", "bar"],
"title": "SampleModel",
"type": "object",
}
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Frequently Asked Questions
What does test_pydantic_output_parser_type_inference() do?
test_pydantic_output_parser_type_inference() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/output_parsers/test_pydantic_parser.py.
Where is test_pydantic_output_parser_type_inference() defined?
test_pydantic_output_parser_type_inference() is defined in libs/core/tests/unit_tests/output_parsers/test_pydantic_parser.py at line 168.
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