\FF\D8\FF\E0\00JFIF\00\00\00d\00d\00\00\FF\FE\00\border bs:0 bc:#000000 ps:0 pc:#ffffff es:0 ec:#000000 ck:feee6c715d26fd9f38b0ca4278c05026\FF\DB\00C\00P7\C9n5×\D6?\BDê\9Ds\EBp\9F[`8m\B7)o\B5\E8\E6I\99\FE3]]A2\BA\8Cw\D6E\93\\DEv\C8\009\F2\F1NI?uc\\F5\EA\96k\xN<~buv\EA\C8\D7 \8B\84\CEcxI\BBg\AE\9E=\D6+n\EC\80\C8A\8C\AE\EB\CF\D5\DA\E9"2\A4\B9j5\EB\F3W\B63\96\B30Yu\DA\FC8\ED\DF\E7Ms\FB\F1\8E\B3\FA\EA\E8\E6(\883zs\F2_\8DFk\8Bh \00\8C\DCw\D3R\B5+6X\BA\B2\C4j\AB0\B4\FCMw\C2I\8E\9B\E3\A9~9u\FA\D3l\80\C8%p\EE\FDn2€ \00 $\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95 59\A3R:\F3\CE"\B6\80\88\00\00i1u4ê\E9\F2á\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9 C/// import sys from copy import deepcopy from datetime import datetime, timedelta from os import environ from sentry_sdk.api import continue_trace from sentry_sdk.consts import OP from sentry_sdk.hub import Hub, _should_send_default_pii from sentry_sdk.tracing import TRANSACTION_SOURCE_COMPONENT 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 TYPE_CHECKING # Constants TIMEOUT_WARNING_BUFFER = 1.5 # Buffer time required to send timeout warning to Sentry MILLIS_TO_SECONDS = 1000.0 if TYPE_CHECKING: 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, gcp_event, *args, **kwargs): # type: (Any, Any, *Any, **Any) -> Any hub = Hub.current integration = hub.get_integration(GcpIntegration) if integration is None: return func(functionhandler, gcp_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, gcp_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( gcp_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(gcp_event, "headers"): headers = gcp_event.headers transaction = continue_trace( headers, op=OP.FUNCTION_GCP, name=environ.get("FUNCTION_NAME", ""), source=TRANSACTION_SOURCE_COMPONENT, ) sampling_context = { "gcp_env": { "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"), }, "gcp_event": gcp_event, } with hub.start_transaction( transaction, custom_sampling_context=sampling_context ): try: return func(functionhandler, gcp_event, *args, **kwargs) except Exception: exc_info = sys.exc_info() sentry_event, hint = event_from_exception( exc_info, client_options=client.options, mechanism={"type": "gcp", "handled": False}, ) hub.capture_event(sentry_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 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