Edit File: gcp.py
from datetime import datetime, timedelta from os import environ import sys from sentry_sdk.hub import Hub, _should_send_default_pii from sentry_sdk.tracing import Transaction from sentry_sdk._compat import reraise from sentry_sdk.utils import ( AnnotatedValue, capture_internal_exceptions, event_from_exception, logger, TimeoutThread, ) from sentry_sdk.integrations import Integration from sentry_sdk.integrations._wsgi_common import _filter_headers from sentry_sdk._types import MYPY # Constants TIMEOUT_WARNING_BUFFER = 1.5 # Buffer time required to send timeout warning to Sentry MILLIS_TO_SECONDS = 1000.0 if MYPY: from typing import Any from typing import TypeVar from typing import Callable from typing import Optional from sentry_sdk._types import EventProcessor, Event, Hint F = TypeVar("F", bound=Callable[..., Any]) def _wrap_func(func): # type: (F) -> F def sentry_func(functionhandler, event, *args, **kwargs): # type: (Any, Any, *Any, **Any) -> Any hub = Hub.current integration = hub.get_integration(GcpIntegration) if integration is None: return func(functionhandler, event, *args, **kwargs) # If an integration is there, a client has to be there. client = hub.client # type: Any configured_time = environ.get("FUNCTION_TIMEOUT_SEC") if not configured_time: logger.debug( "The configured timeout could not be fetched from Cloud Functions configuration." ) return func(functionhandler, event, *args, **kwargs) configured_time = int(configured_time) initial_time = datetime.utcnow() with hub.push_scope() as scope: with capture_internal_exceptions(): scope.clear_breadcrumbs() scope.add_event_processor( _make_request_event_processor(event, configured_time, initial_time) ) scope.set_tag("gcp_region", environ.get("FUNCTION_REGION")) timeout_thread = None if ( integration.timeout_warning and configured_time > TIMEOUT_WARNING_BUFFER ): waiting_time = configured_time - TIMEOUT_WARNING_BUFFER timeout_thread = TimeoutThread(waiting_time, configured_time) # Starting the thread to raise timeout warning exception timeout_thread.start() headers = {} if hasattr(event, "headers"): headers = event.headers transaction = Transaction.continue_from_headers( headers, op="serverless.function", name=environ.get("FUNCTION_NAME", "") ) with hub.start_transaction(transaction): try: return func(functionhandler, event, *args, **kwargs) except Exception: exc_info = sys.exc_info() event, hint = event_from_exception( exc_info, client_options=client.options, mechanism={"type": "gcp", "handled": False}, ) hub.capture_event(event, hint=hint) reraise(*exc_info) finally: if timeout_thread: timeout_thread.stop() # Flush out the event queue hub.flush() return sentry_func # type: ignore class GcpIntegration(Integration): identifier = "gcp" def __init__(self, timeout_warning=False): # type: (bool) -> None self.timeout_warning = timeout_warning @staticmethod def setup_once(): # type: () -> None import __main__ as gcp_functions # type: ignore if not hasattr(gcp_functions, "worker_v1"): logger.warning( "GcpIntegration currently supports only Python 3.7 runtime environment." ) return worker1 = gcp_functions.worker_v1 worker1.FunctionHandler.invoke_user_function = _wrap_func( worker1.FunctionHandler.invoke_user_function ) def _make_request_event_processor(gcp_event, configured_timeout, initial_time): # type: (Any, Any, Any) -> EventProcessor def event_processor(event, hint): # type: (Event, Hint) -> Optional[Event] final_time = datetime.utcnow() time_diff = final_time - initial_time execution_duration_in_millis = time_diff.microseconds / MILLIS_TO_SECONDS extra = event.setdefault("extra", {}) extra["google cloud functions"] = { "function_name": environ.get("FUNCTION_NAME"), "function_entry_point": environ.get("ENTRY_POINT"), "function_identity": environ.get("FUNCTION_IDENTITY"), "function_region": environ.get("FUNCTION_REGION"), "function_project": environ.get("GCP_PROJECT"), "execution_duration_in_millis": execution_duration_in_millis, "configured_timeout_in_seconds": configured_timeout, } extra["google cloud logs"] = { "url": _get_google_cloud_logs_url(final_time), } request = event.get("request", {}) request["url"] = "gcp:///{}".format(environ.get("FUNCTION_NAME")) if hasattr(gcp_event, "method"): request["method"] = gcp_event.method if hasattr(gcp_event, "query_string"): request["query_string"] = gcp_event.query_string.decode("utf-8") if hasattr(gcp_event, "headers"): request["headers"] = _filter_headers(gcp_event.headers) if _should_send_default_pii(): if hasattr(gcp_event, "data"): request["data"] = gcp_event.data else: if hasattr(gcp_event, "data"): # Unfortunately couldn't find a way to get structured body from GCP # event. Meaning every body is unstructured to us. request["data"] = AnnotatedValue("", {"rem": [["!raw", "x", 0, 0]]}) event["request"] = request return event return event_processor def _get_google_cloud_logs_url(final_time): # type: (datetime) -> str """ Generates a Google Cloud Logs console URL based on the environment variables Arguments: final_time {datetime} -- Final time Returns: str -- Google Cloud Logs Console URL to logs. """ hour_ago = final_time - timedelta(hours=1) formatstring = "%Y-%m-%dT%H:%M:%SZ" url = ( "https://console.cloud.google.com/logs/viewer?project={project}&resource=cloud_function" "%2Ffunction_name%2F{function_name}%2Fregion%2F{region}&minLogLevel=0&expandAll=false" "×tamp={timestamp_end}&customFacets=&limitCustomFacetWidth=true" "&dateRangeStart={timestamp_start}&dateRangeEnd={timestamp_end}" "&interval=PT1H&scrollTimestamp={timestamp_end}" ).format( project=environ.get("GCP_PROJECT"), function_name=environ.get("FUNCTION_NAME"), region=environ.get("FUNCTION_REGION"), timestamp_end=final_time.strftime(formatstring), timestamp_start=hour_ago.strftime(formatstring), ) return url
Back to File Manager