from __future__ import annotations import abc from contextlib import contextmanager from typing import TYPE_CHECKING, Any, Generator, Sequence if TYPE_CHECKING: import numbers import traceback class BaseSegment(abc.ABC): """Holds common properties and methods on segment and subsegment.""" @abc.abstractmethod def close(self, end_time: int | None = None): """Close the trace entity by setting `end_time` and flip the in progress flag to False. Parameters ---------- end_time: int Time in epoch seconds, by default current time will be used. """ @abc.abstractmethod def add_subsegment(self, subsegment: Any): """Add input subsegment as a child subsegment.""" @abc.abstractmethod def remove_subsegment(self, subsegment: Any): """Remove input subsegment from child subsegments.""" @abc.abstractmethod def put_annotation(self, key: str, value: str | numbers.Number | bool) -> None: """Annotate segment or subsegment with a key-value pair. Note: Annotations will be indexed for later search query. Parameters ---------- key: str Metadata key value: str | numbers.Number | bool Annotation value """ @abc.abstractmethod def put_metadata(self, key: str, value: Any, namespace: str = "default") -> None: """Add metadata to segment or subsegment. Metadata is not indexed but can be later retrieved by BatchGetTraces API. Parameters ---------- key: str Metadata key value: Any Any object that can be serialized into a JSON string namespace: set[str] Metadata namespace, by default 'default' """ @abc.abstractmethod def add_exception(self, exception: BaseException, stack: list[traceback.StackSummary], remote: bool = False): """Add an exception to trace entities. Parameters ---------- exception: Exception Caught exception stack: list[traceback.StackSummary] List of traceback summaries Output from `traceback.extract_stack()`. remote: bool Whether it's a client error (False) or downstream service error (True), by default False """ class BaseProvider(abc.ABC): @abc.abstractmethod @contextmanager def in_subsegment(self, name=None, **kwargs) -> Generator[BaseSegment, None, None]: """Return a subsegment context manger. Parameters ---------- name: str Subsegment name kwargs: dict | None Optional parameters to be propagated to segment """ @abc.abstractmethod @contextmanager def in_subsegment_async(self, name=None, **kwargs) -> Generator[BaseSegment, None, None]: """Return a subsegment async context manger. Parameters ---------- name: str Subsegment name kwargs: dict | None Optional parameters to be propagated to segment """ @abc.abstractmethod def put_annotation(self, key: str, value: str | numbers.Number | bool) -> None: """Annotate current active trace entity with a key-value pair. Note: Annotations will be indexed for later search query. Parameters ---------- key: str Metadata key value: str | numbers.Number | bool Annotation value """ @abc.abstractmethod def put_metadata(self, key: str, value: Any, namespace: str = "default") -> None: """Add metadata to the current active trace entity. Note: Metadata is not indexed but can be later retrieved by BatchGetTraces API. Parameters ---------- key: str Metadata key value: Any Any object that can be serialized into a JSON string namespace: set[str] Metadata namespace, by default 'default' """ @abc.abstractmethod def patch(self, modules: Sequence[str]) -> None: """Instrument a set of supported libraries Parameters ---------- modules: set[str] Set of modules to be patched """ @abc.abstractmethod def patch_all(self) -> None: """Instrument all supported libraries"""