test_pydantic_model_with_secret_dict() — langchain Function Reference
Architecture documentation for the test_pydantic_model_with_secret_dict() function in test_secret_injection.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 166861cc_2877_c618_bd3a_576f829c6fdb["test_pydantic_model_with_secret_dict()"] 5bcc852a_907e_cf18_edf6_b688fb3f8ccb["TestPydanticModelTopLevel"] 166861cc_2877_c618_bd3a_576f829c6fdb -->|defined in| 5bcc852a_907e_cf18_edf6_b688fb3f8ccb 9667a3de_eb6c_d235_9e9f_0bb0ddcacee3["_assert_no_secret_leak()"] 166861cc_2877_c618_bd3a_576f829c6fdb -->|calls| 9667a3de_eb6c_d235_9e9f_0bb0ddcacee3 style 166861cc_2877_c618_bd3a_576f829c6fdb fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/load/test_secret_injection.py lines 188–202
def test_pydantic_model_with_secret_dict(self) -> None:
"""Pydantic model containing a secret-like dict directly."""
class MyModel(BaseModel):
data: dict[str, Any]
payload = MyModel(data=MALICIOUS_SECRET_DICT)
_assert_no_secret_leak(payload)
# Test treatment of "parsed" in additional_kwargs
msg = AIMessage(content=[], additional_kwargs={"parsed": payload})
gen = ChatGeneration(message=msg)
_assert_no_secret_leak(gen)
round_trip = load(dumpd(gen))
assert MyModel(**(round_trip.message.additional_kwargs["parsed"])) == payload
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Frequently Asked Questions
What does test_pydantic_model_with_secret_dict() do?
test_pydantic_model_with_secret_dict() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/load/test_secret_injection.py.
Where is test_pydantic_model_with_secret_dict() defined?
test_pydantic_model_with_secret_dict() is defined in libs/core/tests/unit_tests/load/test_secret_injection.py at line 188.
What does test_pydantic_model_with_secret_dict() call?
test_pydantic_model_with_secret_dict() calls 1 function(s): _assert_no_secret_leak.
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