chore: import upstream snapshot with attribution
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# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Remote integration tests for the /apps/trigger_echo_agent/trigger/eventarc endpoint.
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Tests cover:
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/apps/trigger_echo_agent/trigger/eventarc on Cloud Run.
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2. Full pipeline tests — publish to the Eventarc source topic and
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verify the request reached Cloud Run via Cloud Logging.
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Prerequisites:
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- GCP project with Eventarc, Pub/Sub, Cloud Run, and Cloud Logging
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APIs enabled.
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- ``gcloud`` CLI authenticated.
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- Terraform >= 1.5 installed.
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Run:
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GCP_PROJECT_ID=my-project pytest tests/remote/test_trigger_eventarc.py -v -s
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"""
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from __future__ import annotations
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import datetime
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import json
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import time
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import uuid
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from google.cloud import logging as cloud_logging
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from google.cloud import pubsub_v1
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import pytest
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import requests
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# ---------------------------------------------------------------------------
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# Full Eventarc pipeline tests
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# ---------------------------------------------------------------------------
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class TestEventarcPipeline:
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"""Test the full Pub/Sub → Eventarc → Cloud Run pipeline.
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Verification is done by checking Cloud Run request logs for successful
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POST requests to /apps/trigger_echo_agent/trigger/eventarc.
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"""
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@pytest.fixture(autouse=True)
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def _setup(self, eventarc_topic, project_id):
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self.publisher = pubsub_v1.PublisherClient()
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self.topic_path = eventarc_topic
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self.project_id = project_id
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self.logging_client = cloud_logging.Client(project=project_id)
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def _publish_event(self, data: str, wait_seconds: int = 45) -> None:
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"""Publish a message to the Eventarc source topic and wait."""
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future = self.publisher.publish(
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self.topic_path,
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data.encode("utf-8"),
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)
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future.result(timeout=30)
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time.sleep(wait_seconds)
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def _count_successful_requests(
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self,
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path: str,
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since: datetime.datetime,
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) -> int:
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"""Count successful HTTP requests to the given path in Cloud Run logs."""
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timestamp = since.strftime("%Y-%m-%dT%H:%M:%SZ")
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filter_str = (
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'resource.type="cloud_run_revision" '
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f'httpRequest.requestUrl:"{path}" '
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"httpRequest.status=200 "
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f'timestamp>="{timestamp}"'
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)
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entries = list(
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self.logging_client.list_entries(
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filter_=filter_str,
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page_size=50,
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)
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)
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return len(entries)
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def test_eventarc_pubsub_trigger(self):
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"""Publish to Eventarc source topic and verify Cloud Run processes it."""
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start_time = datetime.datetime.now(datetime.timezone.utc)
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self._publish_event(json.dumps({"test": "eventarc-pipeline"}))
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count = self._count_successful_requests(
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"/apps/trigger_echo_agent/trigger/eventarc", start_time
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)
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assert count >= 1, (
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"Expected at least 1 successful request to"
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f" /apps/trigger_echo_agent/trigger/eventarc, found {count}"
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)
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def test_eventarc_multiple_events(self):
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"""Publish multiple events and verify they are processed."""
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start_time = datetime.datetime.now(datetime.timezone.utc)
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for i in range(3):
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future = self.publisher.publish(
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self.topic_path,
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json.dumps({"seq": i}).encode("utf-8"),
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)
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future.result(timeout=30)
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# Eventarc delivery + log ingestion can be slow; wait longer.
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time.sleep(90)
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count = self._count_successful_requests(
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"/apps/trigger_echo_agent/trigger/eventarc", start_time
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)
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assert count >= 1, (
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"Expected at least 1 successful request to"
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f" /apps/trigger_echo_agent/trigger/eventarc, found {count}"
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)
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