test_runnable_lambda_context_config_async() — langchain Function Reference
Architecture documentation for the test_runnable_lambda_context_config_async() function in test_runnable.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD aa0fd891_3e84_9e4b_3832_965cb3633195["test_runnable_lambda_context_config_async()"] 26df6ad8_0189_51d0_c3c1_6c3248893ff5["test_runnable.py"] aa0fd891_3e84_9e4b_3832_965cb3633195 -->|defined in| 26df6ad8_0189_51d0_c3c1_6c3248893ff5 8652094c_ec57_c551_fc44_9566d00cf872["abatch()"] aa0fd891_3e84_9e4b_3832_965cb3633195 -->|calls| 8652094c_ec57_c551_fc44_9566d00cf872 style aa0fd891_3e84_9e4b_3832_965cb3633195 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/runnables/test_runnable.py lines 5250–5301
async def test_runnable_lambda_context_config_async() -> None:
"""Test function runnable config propagation.
Test that a function can call other runnables with config
propagated from the context.
"""
fake = RunnableLambda(len)
@chain
async def afun(value: str) -> int:
output = await fake.ainvoke(value)
output += await fake.ainvoke(value * 2)
output += await fake.ainvoke(value * 3)
return output
assert afun.get_input_jsonschema() == {"title": "afun_input", "type": "string"}
assert afun.get_output_jsonschema() == {
"title": "afun_output",
"type": "integer",
}
tracer = FakeTracer()
assert await afun.ainvoke("a", {"callbacks": [tracer]}) == 6
assert len(tracer.runs) == 1
assert tracer.runs[0].outputs == {"output": 6}
assert len(tracer.runs[0].child_runs) == 3
assert [r.inputs["input"] for r in tracer.runs[0].child_runs] == ["a", "aa", "aaa"]
assert [(r.outputs or {})["output"] for r in tracer.runs[0].child_runs] == [1, 2, 3]
tracer.runs.clear()
assert [p async for p in afun.astream("a")] == [6]
assert len(tracer.runs) == 0, "callbacks doesn't persist from previous call"
tracer = FakeTracer()
assert [p async for p in afun.astream("a", {"callbacks": [tracer]})] == [6]
assert len(tracer.runs) == 1
assert tracer.runs[0].outputs == {"output": 6}
assert len(tracer.runs[0].child_runs) == 3
assert [r.inputs["input"] for r in tracer.runs[0].child_runs] == ["a", "aa", "aaa"]
assert [(r.outputs or {})["output"] for r in tracer.runs[0].child_runs] == [1, 2, 3]
tracer = FakeTracer()
assert await afun.abatch(["a", "a"], {"callbacks": [tracer]}) == [6, 6]
assert len(tracer.runs) == 2
assert tracer.runs[0].outputs == {"output": 6}
assert tracer.runs[1].outputs == {"output": 6}
assert len(tracer.runs[0].child_runs) == 3
assert [r.inputs["input"] for r in tracer.runs[0].child_runs] == ["a", "aa", "aaa"]
assert [(r.outputs or {})["output"] for r in tracer.runs[0].child_runs] == [1, 2, 3]
assert len(tracer.runs[1].child_runs) == 3
assert [r.inputs["input"] for r in tracer.runs[1].child_runs] == ["a", "aa", "aaa"]
assert [(r.outputs or {})["output"] for r in tracer.runs[1].child_runs] == [1, 2, 3]
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Frequently Asked Questions
What does test_runnable_lambda_context_config_async() do?
test_runnable_lambda_context_config_async() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_runnable.py.
Where is test_runnable_lambda_context_config_async() defined?
test_runnable_lambda_context_config_async() is defined in libs/core/tests/unit_tests/runnables/test_runnable.py at line 5250.
What does test_runnable_lambda_context_config_async() call?
test_runnable_lambda_context_config_async() calls 1 function(s): abatch.
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