test_schemas() — langchain Function Reference
Architecture documentation for the test_schemas() function in test_runnable.py from the langchain codebase.
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Dependency Diagram
graph TD ee04fbca_58c0_07b1_adfb_1d2daa7fe196["test_schemas()"] 26df6ad8_0189_51d0_c3c1_6c3248893ff5["test_runnable.py"] ee04fbca_58c0_07b1_adfb_1d2daa7fe196 -->|defined in| 26df6ad8_0189_51d0_c3c1_6c3248893ff5 style ee04fbca_58c0_07b1_adfb_1d2daa7fe196 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/runnables/test_runnable.py lines 230–506
def test_schemas(snapshot: SnapshotAssertion) -> None:
fake = FakeRunnable() # str -> int
assert fake.get_input_jsonschema() == {
"title": "FakeRunnableInput",
"type": "string",
}
assert fake.get_output_jsonschema() == {
"title": "FakeRunnableOutput",
"type": "integer",
}
assert fake.get_config_jsonschema(include=["tags", "metadata", "run_name"]) == {
"properties": {
"metadata": {
"default": None,
"title": "Metadata",
"type": "object",
},
"run_name": {"default": None, "title": "Run Name", "type": "string"},
"tags": {
"default": None,
"items": {"type": "string"},
"title": "Tags",
"type": "array",
},
},
"title": "FakeRunnableConfig",
"type": "object",
}
fake_bound = FakeRunnable().bind(a="b") # str -> int
assert fake_bound.get_input_jsonschema() == {
"title": "FakeRunnableInput",
"type": "string",
}
assert fake_bound.get_output_jsonschema() == {
"title": "FakeRunnableOutput",
"type": "integer",
}
fake_w_fallbacks = FakeRunnable().with_fallbacks((fake,)) # str -> int
assert fake_w_fallbacks.get_input_jsonschema() == {
"title": "FakeRunnableInput",
"type": "string",
}
assert fake_w_fallbacks.get_output_jsonschema() == {
"title": "FakeRunnableOutput",
"type": "integer",
}
def typed_lambda_impl(x: str) -> int:
return len(x)
typed_lambda = RunnableLambda(typed_lambda_impl) # str -> int
assert typed_lambda.get_input_jsonschema() == {
"title": "typed_lambda_impl_input",
"type": "string",
}
assert typed_lambda.get_output_jsonschema() == {
"title": "typed_lambda_impl_output",
"type": "integer",
}
async def typed_async_lambda_impl(x: str) -> int:
return len(x)
typed_async_lambda = RunnableLambda(typed_async_lambda_impl) # str -> int
assert typed_async_lambda.get_input_jsonschema() == {
"title": "typed_async_lambda_impl_input",
"type": "string",
}
assert typed_async_lambda.get_output_jsonschema() == {
"title": "typed_async_lambda_impl_output",
"type": "integer",
}
fake_ret = FakeRetriever() # str -> list[Document]
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Frequently Asked Questions
What does test_schemas() do?
test_schemas() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_runnable.py.
Where is test_schemas() defined?
test_schemas() is defined in libs/core/tests/unit_tests/runnables/test_runnable.py at line 230.
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