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langchain/tests/unit_tests/callbacks/tracers/test_tracer.py

135 lines
4.5 KiB
Python

"""Test Tracer classes."""
from __future__ import annotations
import json
from datetime import datetime
from typing import Tuple
from unittest.mock import patch
from uuid import UUID, uuid4
import pytest
from freezegun import freeze_time
from langchain.callbacks.tracers.langchain import LangChainTracer
from langchain.callbacks.tracers.schemas import Run, RunTypeEnum, TracerSession
from langchain.schema import LLMResult
_SESSION_ID = UUID("4fbf7c55-2727-4711-8964-d821ed4d4e2a")
_TENANT_ID = UUID("57a08cc4-73d2-4236-8378-549099d07fad")
@pytest.fixture
def lang_chain_tracer_v2(monkeypatch: pytest.MonkeyPatch) -> LangChainTracer:
monkeypatch.setenv("LANGCHAIN_TENANT_ID", "test-tenant-id")
monkeypatch.setenv("LANGCHAIN_ENDPOINT", "http://test-endpoint.com")
monkeypatch.setenv("LANGCHAIN_API_KEY", "foo")
tracer = LangChainTracer()
return tracer
# Mock a sample TracerSession object
@pytest.fixture
def sample_tracer_session_v2() -> TracerSession:
return TracerSession(id=_SESSION_ID, name="Sample session", tenant_id=_TENANT_ID)
@freeze_time("2023-01-01")
@pytest.fixture
def sample_runs() -> Tuple[Run, Run, Run]:
llm_run = Run(
id="57a08cc4-73d2-4236-8370-549099d07fad",
name="llm_run",
execution_order=1,
child_execution_order=1,
parent_run_id="57a08cc4-73d2-4236-8371-549099d07fad",
start_time=datetime.utcnow(),
end_time=datetime.utcnow(),
session_id=1,
inputs={"prompts": []},
outputs=LLMResult(generations=[[]]).dict(),
serialized={},
extra={},
run_type=RunTypeEnum.llm,
)
chain_run = Run(
id="57a08cc4-73d2-4236-8371-549099d07fad",
name="chain_run",
execution_order=1,
start_time=datetime.utcnow(),
end_time=datetime.utcnow(),
child_execution_order=1,
serialized={},
inputs={},
outputs={},
child_runs=[llm_run],
extra={},
run_type=RunTypeEnum.chain,
)
tool_run = Run(
id="57a08cc4-73d2-4236-8372-549099d07fad",
name="tool_run",
execution_order=1,
child_execution_order=1,
inputs={"input": "test"},
start_time=datetime.utcnow(),
end_time=datetime.utcnow(),
outputs=None,
serialized={},
child_runs=[],
extra={},
run_type=RunTypeEnum.tool,
)
return llm_run, chain_run, tool_run
def test_persist_run(
lang_chain_tracer_v2: LangChainTracer,
sample_tracer_session_v2: TracerSession,
sample_runs: Tuple[Run, Run, Run],
) -> None:
"""Test that persist_run method calls requests.post once per method call."""
with patch("langchain.callbacks.tracers.langchain.requests.post") as post, patch(
"langchain.callbacks.tracers.langchain.requests.get"
) as get:
post.return_value.raise_for_status.return_value = None
lang_chain_tracer_v2.session = sample_tracer_session_v2
for run in sample_runs:
lang_chain_tracer_v2.run_map[str(run.id)] = run
for run in sample_runs:
lang_chain_tracer_v2._end_trace(run)
assert post.call_count == 3
assert get.call_count == 0
def test_persist_run_with_example_id(
lang_chain_tracer_v2: LangChainTracer,
sample_tracer_session_v2: TracerSession,
sample_runs: Tuple[Run, Run, Run],
) -> None:
"""Test the example ID is assigned only to the parent run and not the children."""
example_id = uuid4()
llm_run, chain_run, tool_run = sample_runs
chain_run.child_runs = [tool_run]
tool_run.child_runs = [llm_run]
with patch("langchain.callbacks.tracers.langchain.requests.post") as post, patch(
"langchain.callbacks.tracers.langchain.requests.get"
) as get:
post.return_value.raise_for_status.return_value = None
lang_chain_tracer_v2.session = sample_tracer_session_v2
lang_chain_tracer_v2.example_id = example_id
lang_chain_tracer_v2._persist_run(chain_run)
assert post.call_count == 3
assert get.call_count == 0
posted_data = [
json.loads(call_args[1]["data"]) for call_args in post.call_args_list
]
assert posted_data[0]["id"] == str(chain_run.id)
assert posted_data[0]["reference_example_id"] == str(example_id)
assert posted_data[1]["id"] == str(tool_run.id)
assert not posted_data[1].get("reference_example_id")
assert posted_data[2]["id"] == str(llm_run.id)
assert not posted_data[2].get("reference_example_id")