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chore: import upstream snapshot with attribution
2026-07-13 12:37:18 +08:00

92 lines
3.5 KiB
Python

from typing import Any
from uuid import UUID
from langchain_core.messages.base import BaseMessage
from langchain_core.outputs.chat_generation import ChatGeneration
from langchain_core.outputs.llm_result import LLMResult
from langchain_core.tracers import BaseTracer, Run
class FakeTracer(BaseTracer):
"""Fake tracer that records LangChain execution.
It replaces run ids with deterministic UUIDs for snapshotting."""
def __init__(self) -> None:
"""Initialize the tracer."""
super().__init__()
self.runs: list[Run] = []
self.uuids_map: dict[UUID, UUID] = {}
self.uuids_generator = (
UUID(f"00000000-0000-4000-8000-{i:012}", version=4) for i in range(10000)
)
def _replace_uuid(self, uuid: UUID) -> UUID:
if uuid not in self.uuids_map:
self.uuids_map[uuid] = next(self.uuids_generator)
return self.uuids_map[uuid]
def _replace_message_id(self, maybe_message: Any) -> Any:
if isinstance(maybe_message, BaseMessage):
maybe_message.id = str(next(self.uuids_generator))
if isinstance(maybe_message, ChatGeneration):
maybe_message.message.id = str(next(self.uuids_generator))
if isinstance(maybe_message, LLMResult):
for i, gen_list in enumerate(maybe_message.generations):
for j, gen in enumerate(gen_list):
maybe_message.generations[i][j] = self._replace_message_id(gen)
if isinstance(maybe_message, dict):
for k, v in maybe_message.items():
maybe_message[k] = self._replace_message_id(v)
if isinstance(maybe_message, list):
for i, v in enumerate(maybe_message):
maybe_message[i] = self._replace_message_id(v)
return maybe_message
def _copy_run(self, run: Run) -> Run:
if run.dotted_order:
levels = run.dotted_order.split(".")
processed_levels = []
for level in levels:
timestamp, run_id = level.split("Z")
new_run_id = self._replace_uuid(UUID(run_id))
processed_level = f"{timestamp}Z{new_run_id}"
processed_levels.append(processed_level)
new_dotted_order = ".".join(processed_levels)
else:
new_dotted_order = None
return run.copy(
update={
"id": self._replace_uuid(run.id),
"parent_run_id": (
self.uuids_map[run.parent_run_id] if run.parent_run_id else None
),
"child_runs": [self._copy_run(child) for child in run.child_runs],
"trace_id": self._replace_uuid(run.trace_id) if run.trace_id else None,
"dotted_order": new_dotted_order,
"inputs": self._replace_message_id(run.inputs),
"outputs": self._replace_message_id(run.outputs),
}
)
def _persist_run(self, run: Run) -> None:
"""Persist a run."""
self.runs.append(self._copy_run(run))
def flattened_runs(self) -> list[Run]:
q = [] + self.runs
result = []
while q:
parent = q.pop()
result.append(parent)
if parent.child_runs:
q.extend(parent.child_runs)
return result
@property
def run_ids(self) -> list[UUID | None]:
runs = self.flattened_runs()
uuids_map = {v: k for k, v in self.uuids_map.items()}
return [uuids_map.get(r.id) for r in runs]