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

95 lines
3.2 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
from typing import Generic, Sequence, TypeVar
from opentelemetry.sdk.trace import ReadableSpan
from agentlightning.types import Span
T_from = TypeVar("T_from")
T_to = TypeVar("T_to")
class Adapter(Generic[T_from, T_to]):
"""Base class for synchronous adapters that convert data from one format to another.
The class defines a minimal protocol so that adapters can be treated like callables while
still allowing subclasses to supply the concrete transformation logic.
!!! note
Subclasses must override [`adapt()`][agentlightning.Adapter.adapt] to provide
the actual conversion.
Type Variables:
T_from: Source data type supplied to the adapter.
T_to: Target data type produced by the adapter.
Examples:
>>> class IntToStrAdapter(Adapter[int, str]):
... def adapt(self, source: int) -> str:
... return str(source)
...
>>> adapter = IntToStrAdapter()
>>> adapter(42)
'42'
"""
def __call__(self, source: T_from, /) -> T_to:
"""Convert the data to the target format.
This method delegates to [`adapt()`][agentlightning.Adapter.adapt] so that an
instance of [`Adapter`][agentlightning.Adapter] can be used like a standard
function.
Args:
source: Input data in the source format.
Returns:
Data converted to the target format.
"""
return self.adapt(source)
def adapt(self, source: T_from, /) -> T_to:
"""Convert the data to the target format.
Subclasses must override this method with the concrete transformation logic. The base
implementation raises `NotImplementedError` to make the requirement explicit.
Args:
source: Input data in the source format.
Returns:
Data converted to the target format.
"""
raise NotImplementedError("Adapter.adapt() is not implemented")
class OtelTraceAdapter(Adapter[Sequence[ReadableSpan], T_to], Generic[T_to]):
"""Base class for adapters that convert OpenTelemetry trace spans into other formats.
This specialization of [`Adapter`][agentlightning.Adapter] expects a list of
`opentelemetry.sdk.trace.ReadableSpan` instances and produces any target format, such as
reinforcement learning trajectories, structured logs, or analytics-ready payloads.
Examples:
>>> class TraceToDictAdapter(OtelTraceAdapter[dict]):
... def adapt(self, spans: List[ReadableSpan]) -> dict:
... return {"count": len(spans)}
...
>>> adapter = TraceToDictAdapter()
>>> adapter([span1, span2])
{'count': 2}
"""
class TraceAdapter(Adapter[Sequence[Span], T_to], Generic[T_to]):
"""Base class for adapters that convert trace spans into other formats.
This class specializes [`Adapter`][agentlightning.Adapter] for working with
[`Span`][agentlightning.Span] instances emitted by Agent Lightning instrumentation.
Subclasses receive entire trace slices and return a format suited for the downstream consumer,
for example reinforcement learning training data or observability metrics.
"""