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chore: import upstream snapshot with attribution
2026-07-13 12:44:17 +08:00

262 lines
8.4 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
from __future__ import annotations
import datetime
from types import SimpleNamespace
import pytest
from agentlightning.store.base import LightningStore
from agentlightning.tracer.weave import WeaveTracer
from agentlightning.types import Span
class MockLightningStore(LightningStore):
"""A minimal stub-only LightningStore, only implements methods likely used in tests."""
def __init__(self) -> None:
super().__init__()
self.spans: list[Span] = []
async def get_next_span_sequence_id(self, rollout_id: str, attempt_id: str) -> int:
return len(self.spans)
async def add_span(self, span: Span) -> Span:
self.spans.append(span)
return span
def clear_spans(self) -> None:
self.spans = []
def get_traces(self) -> list[Span]:
return self.spans
class FakeWeaveCall:
def __init__(
self,
op: str,
attributes: dict[str, object] | None = None,
inputs: dict[str, object] | None = None,
):
base_time = datetime.datetime.fromtimestamp(96400, tz=datetime.timezone.utc)
self.op_name = op
self.attributes = attributes or {}
self.inputs = inputs or {}
self.output = None
self.summary: dict[str, object] | None = {}
self.started_at = base_time
self.ended_at = base_time
self.exception: str | None = None
class FakeWeaveClient:
def __init__(self, server: object):
self.server = server
self.project = "fake-project"
self.created_calls: list[FakeWeaveCall] = []
self.finished_calls: list[FakeWeaveCall] = []
def create_call(
self,
*,
op: str,
attributes: dict[str, object] | None = None,
inputs: dict[str, object] | None = None,
) -> FakeWeaveCall:
call = FakeWeaveCall(op=op, attributes=attributes or {}, inputs=inputs or {})
self.created_calls.append(call)
return call
def finish_call(self, call: FakeWeaveCall, exception: Exception | None = None) -> None:
if exception is not None:
call.exception = str(exception)
call.ended_at = call.started_at + datetime.timedelta(seconds=1)
self.finished_calls.append(call)
def flush(self) -> None:
pass
def _func_without_exception():
"""Function that always executed successfully to test success tracing."""
pass
def _func_with_exception():
"""Function that always executed successfully to test success tracing."""
raise ValueError("This is a test exception")
@pytest.mark.weave
def test_weave_tracer_create_span(monkeypatch: pytest.MonkeyPatch) -> None:
import weave # type: ignore
tracer = WeaveTracer(instrument_managed=False)
fake_client = FakeWeaveClient(server=tracer._server) # pyright: ignore[reportPrivateUsage]
monkeypatch.setattr(weave, "get_client", lambda: fake_client)
span = tracer.create_span("weave-span", attributes={"foo": "bar"})
assert span.name == "weave-span"
assert span.attributes == {"foo": "bar"}
assert len(fake_client.created_calls) == 1
assert len(fake_client.finished_calls) == 1
@pytest.mark.weave
def test_weave_tracer_operation_context_records_exception(monkeypatch: pytest.MonkeyPatch) -> None:
import weave # type: ignore
tracer = WeaveTracer(instrument_managed=False)
fake_client = FakeWeaveClient(server=tracer._server) # pyright: ignore[reportPrivateUsage]
monkeypatch.setattr(weave, "get_client", lambda: fake_client)
with pytest.raises(RuntimeError):
with tracer.operation_context("weave-op", attributes={"foo": "bar"}) as ctx:
raise RuntimeError("failed")
recorded_span = ctx.get_recorded_span() # type: ignore
assert recorded_span.name == "weave-op"
assert recorded_span.status.status_code == "ERROR"
assert recorded_span.status.description == "failed"
assert len(fake_client.finished_calls) == 1
@pytest.mark.weave
@pytest.mark.asyncio
async def test_weave_trace_without_exception():
tracer = WeaveTracer()
store = MockLightningStore()
tracer.init()
tracer.init_worker(0, store=store)
try:
# Case where store, rollout_id, and attempt_id are all non-none.
async with tracer.trace_context(name="weave_test", rollout_id="test_rollout_id", attempt_id="test_attempt_id"):
_func_without_exception()
print(tracer.get_last_trace())
spans = store.get_traces()
assert len(spans) > 0
has_error = False
for span in spans:
has_error = getattr(span, "status", None) and span.status.status_code == "ERROR"
assert not has_error
finally:
tracer.teardown_worker(0)
tracer.teardown()
@pytest.mark.weave
@pytest.mark.asyncio
async def test_weave_trace_with_exception():
tracer = WeaveTracer()
store = MockLightningStore()
tracer.init()
tracer.init_worker(0, store=store)
try:
with pytest.raises(ValueError):
# Case where store, rollout_id, and attempt_id are all non-none.
async with tracer.trace_context(
name="weave_test", rollout_id="test_rollout_id", attempt_id="test_attempt_id"
):
_func_with_exception()
spans = store.get_traces()
assert len(spans) > 0
has_error = False
for span in spans:
has_error = getattr(span, "status", None) and span.status.status_code == "ERROR"
assert has_error
finally:
tracer.teardown_worker(0)
tracer.teardown()
@pytest.mark.weave
@pytest.mark.asyncio
async def test_weave_with_op():
import weave # type: ignore
@weave.op # type: ignore
def _func_with_op():
"""Function that always executed successfully to test success tracing."""
pass
tracer = WeaveTracer()
store = MockLightningStore()
tracer.init()
tracer.init_worker(0, store=store)
try:
# Case where store, rollout_id, and attempt_id are all non-none.
async with tracer.trace_context(name="weave_test", rollout_id="test_rollout_id", attempt_id="test_attempt_id"):
_func_with_op()
spans = store.get_traces()
len_spans_with_op = len(spans)
store.clear_spans()
async with tracer.trace_context(name="weave_test", rollout_id="test_rollout_id", attempt_id="test_attempt_id"):
_func_without_exception()
spans = store.get_traces()
len_spans_without_op = len(spans)
assert len_spans_with_op > 0
assert len_spans_without_op > 0
assert len_spans_with_op > len_spans_without_op
finally:
tracer.teardown_worker(0)
tracer.teardown()
@pytest.mark.weave
@pytest.mark.asyncio
async def test_weave_trace_call_to_span():
child = SimpleNamespace(
op_name="child_func",
inputs={"child_input": "x"},
output={"child_output": 42},
attributes={"child_attribute": "z"},
summary={"status_counts": {"success": 1, "error": 0}},
_children=[],
started_at=datetime.datetime(2025, 12, 1, 0, 0, 1, tzinfo=datetime.timezone.utc),
ended_at=datetime.datetime(2025, 12, 1, 0, 0, 2, tzinfo=datetime.timezone.utc),
trace_id="trace-1",
id="span-2",
parent_id="span-1",
func_name="child_func",
exception=None,
)
parent = SimpleNamespace(
op_name="parent_func",
inputs={"parent_input": "y"},
output={"parent_output": 99},
attributes={"parent_attribute": "y"},
summary={"status_counts": {"success": 1, "error": 0}},
_children=[child],
started_at=datetime.datetime(2025, 12, 1, 0, 0, 0, tzinfo=datetime.timezone.utc),
ended_at=datetime.datetime(2025, 12, 1, 0, 0, 1, tzinfo=datetime.timezone.utc),
trace_id="trace-1",
id="span-1",
parent_id=None,
func_name="parent_func",
exception=None,
)
tracer = WeaveTracer()
parent_span = await tracer.convert_call_to_span(parent) # type: ignore
assert parent_span.attributes["agentlightning.operation.input.parent_input"] == "y"
assert parent_span.attributes["agentlightning.operation.output.parent_output"] == 99
child_span = await tracer.convert_call_to_span(child) # type: ignore
assert child_span.attributes["agentlightning.operation.input.child_input"] == "x"
assert child_span.attributes["agentlightning.operation.output.child_output"] == 42
assert child_span.parent_id == "span-1"