78 lines
3.3 KiB
Python
78 lines
3.3 KiB
Python
import tempfile
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import json
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import unittest
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from pathlib import Path
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from unittest.mock import patch
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from fgai.monitor import add_llm_assessment, build_status, write_status
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class MonitorTests(unittest.TestCase):
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def test_build_status_from_log_file(self):
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with tempfile.TemporaryDirectory() as tmp:
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log_path = Path(tmp) / "fg.log"
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log_path.write_text(
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"\n".join(
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[
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'type=utm subtype=ips srcip=8.8.8.8 dstip=10.0.0.10 service=https action=blocked severity=critical',
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'type=utm subtype=ips srcip=8.8.8.8 dstip=10.0.0.10 service=https action=blocked severity=critical',
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'type=utm subtype=ips srcip=8.8.8.8 dstip=10.0.0.10 service=https action=blocked severity=critical',
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]
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),
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encoding="utf-8",
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)
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status = build_status(str(log_path))
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self.assertEqual(status["summary"]["total"], 3)
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self.assertGreaterEqual(len(status["anomalies"]), 1)
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def test_write_status_creates_parent_directory(self):
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with tempfile.TemporaryDirectory() as tmp:
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output = Path(tmp) / "state" / "status.json"
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write_status({"ok": True}, str(output))
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self.assertTrue(output.exists())
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def test_profile_readiness_includes_stream_and_profile_names(self):
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with tempfile.TemporaryDirectory() as tmp:
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config_path = Path(tmp) / "config.json"
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config_path.write_text(
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json.dumps(
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{
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"graylog_streams": [{"id": "66fe", "title": "Fortigate", "enabled": True}],
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"graylog_stream_profiles": [{"stream_id": "66fe", "name": "66fe", "entity_field": "srcip", "categorical_fields": ["action"]}],
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}
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),
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encoding="utf-8",
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)
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with patch("fgai.monitor.BaselineStore.profile_readiness", return_value=[{"stream_id": "66fe", "field": "action", "buckets": 12, "ready": True}]):
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status = build_status(str(Path(tmp) / "missing.log"), baseline_path=str(Path(tmp) / "baseline.sqlite3"), config_path=str(config_path))
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self.assertEqual(status["profile_readiness"][0]["stream_name"], "Fortigate")
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self.assertEqual(status["profile_readiness"][0]["profile_name"], "Fortigate profile")
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self.assertEqual(status["stream_profiles"][0]["name"], "Fortigate profile")
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def test_add_llm_assessment_records_error_without_ollama(self):
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status = {"summary": {}, "anomalies": []}
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with patch("fgai.monitor.ollama_dashboard_assessment", side_effect=TimeoutError("timeout")):
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add_llm_assessment(status, previous="old text")
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self.assertEqual(status["llm_assessment"]["status"], "error")
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self.assertEqual(status["llm_assessment"]["text"], "old text")
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def test_add_llm_assessment_records_text(self):
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status = {"summary": {}, "anomalies": []}
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with patch("fgai.monitor.ollama_dashboard_assessment", return_value="looks noisy"):
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add_llm_assessment(status)
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self.assertEqual(status["llm_assessment"]["status"], "ok")
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self.assertEqual(status["llm_assessment"]["text"], "looks noisy")
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if __name__ == "__main__":
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unittest.main()
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