| |
|
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
| import contextlib |
| from google.cloud.aiplatform import base |
|
|
|
|
| _LOGGER = base.Logger(__name__) |
|
|
| _tool_names_to_append = [] |
|
|
|
|
| @contextlib.contextmanager |
| def tool_context_manager(tool_name: str) -> None: |
| """Context manager for appending tool name to client instantiations. |
| |
| Most client instantiations occur at construction time. There are a few |
| exceptions such as generate_content that uses lazy instantiation at |
| inference time (b/328511605). |
| |
| Example Usage: |
| |
| aiplatform.init(...) |
| with telemetry.tool_context_manager('ClientName'): |
| model = GenerativeModel("gemini-pro") |
| responses = model.generate_content("Why is the sky blue?", stream=True) |
| |
| Args: |
| tool_name: The name of the client library to attribute usage to |
| |
| Returns: |
| None |
| """ |
| _append_tool_name(tool_name) |
| try: |
| yield |
| finally: |
| _pop_tool_name(tool_name) |
|
|
|
|
| def _append_tool_name(tool_name: str) -> None: |
| if not _tool_names_to_append or _tool_names_to_append[-1] != tool_name: |
| _tool_names_to_append.append(tool_name) |
|
|
|
|
| def _pop_tool_name(tool_name: str) -> None: |
| if not _tool_names_to_append or _tool_names_to_append[-1] != tool_name: |
| _LOGGER.debug( |
| "Gapic client context telemetry issue detected." |
| + "This can occur due to parallelization." |
| ) |
| return |
| _tool_names_to_append.pop() |
|
|