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70 lines
1.9 KiB
Python
70 lines
1.9 KiB
Python
#!/usr/bin/env python3
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"""Local alert simulation test for the Kubernetes PIPELINE_ERROR scenario.
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Runs the bundled Datadog-style fixture through ``run_investigation`` (the same
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entry point as ``opensre investigate``), including live Datadog API calls when
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credentials are configured.
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Alert used:
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[tracer] Pipeline Error in Logs
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PIPELINE_ERROR: Schema validation failed: Missing fields ['customer_id'] in record 0
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Usage (from project root):
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make simulate-k8s-alert
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"""
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from __future__ import annotations
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import json
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import os
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from pathlib import Path
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import pytest
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pytestmark = pytest.mark.skipif(
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not os.getenv("ANTHROPIC_API_KEY"),
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reason="Requires ANTHROPIC_API_KEY - run manually",
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)
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FIXTURE_PATH = Path(__file__).parent / "fixtures" / "datadog_pipeline_error_alert.json"
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def _load_fixture() -> dict:
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with open(FIXTURE_PATH) as f:
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return json.load(f)
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def test_kubernetes_local_alert_simulation() -> None:
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"""Run a pipeline-error alert locally and verify the report.
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Asserts:
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- root_cause is non-empty and references the missing field
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- slack_message is non-empty and contains a Root Cause section
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"""
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from tools.investigation.capability import run_investigation
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fixture = _load_fixture()
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alert = fixture["alert"]
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state = run_investigation(alert)
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root_cause = state.get("root_cause", "") or ""
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slack_message = state.get("slack_message", "") or ""
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print("\n" + "=" * 70)
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print("SIMULATION REPORT OUTPUT")
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print("=" * 70)
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print(slack_message)
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print("=" * 70)
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print(f"\nroot_cause: {root_cause}")
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assert root_cause, "root_cause must be non-empty"
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assert "customer_id" in root_cause.lower(), (
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f"root_cause should reference 'customer_id', got: {root_cause}"
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)
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assert slack_message, "slack_message must be non-empty"
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assert "Root Cause" in slack_message, (
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f"slack_message must contain a Root Cause section.\nGot:\n{slack_message}"
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)
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