test_pydantic_parser_chaining() — langchain Function Reference
Architecture documentation for the test_pydantic_parser_chaining() function in test_pydantic_parser.py from the langchain codebase.
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Dependency Diagram
graph TD 33b38ba7_b459_95a9_d1fa_51c106ced586["test_pydantic_parser_chaining()"] 70078932_b952_16ac_83c5_c9026d556e63["test_pydantic_parser.py"] 33b38ba7_b459_95a9_d1fa_51c106ced586 -->|defined in| 70078932_b952_16ac_83c5_c9026d556e63 style 33b38ba7_b459_95a9_d1fa_51c106ced586 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/output_parsers/test_pydantic_parser.py lines 41–62
def test_pydantic_parser_chaining(
pydantic_object: _FORECAST_MODELS_TYPES,
) -> None:
prompt = PromptTemplate(
template="""{{
"temperature": 20,
"f_or_c": "C",
"forecast": "Sunny"
}}""",
input_variables=[],
)
model = ParrotFakeChatModel()
parser = PydanticOutputParser[PydanticBaseModel](pydantic_object=pydantic_object)
chain = prompt | model | parser
res = chain.invoke({})
assert isinstance(res, pydantic_object)
assert res.f_or_c == "C"
assert res.temperature == 20
assert res.forecast == "Sunny"
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Frequently Asked Questions
What does test_pydantic_parser_chaining() do?
test_pydantic_parser_chaining() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/output_parsers/test_pydantic_parser.py.
Where is test_pydantic_parser_chaining() defined?
test_pydantic_parser_chaining() is defined in libs/core/tests/unit_tests/output_parsers/test_pydantic_parser.py at line 41.
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