Files
microdao-daarion/tests/test_incident_recurrence.py
Apple 129e4ea1fc feat(platform): add new services, tools, tests and crews modules
New router intelligence modules (26 files): alert_ingest/store, audit_store,
architecture_pressure, backlog_generator/store, cost_analyzer, data_governance,
dependency_scanner, drift_analyzer, incident_* (5 files), llm_enrichment,
platform_priority_digest, provider_budget, release_check_runner, risk_* (6 files),
signature_state_store, sofiia_auto_router, tool_governance

New services:
- sofiia-console: Dockerfile, adapters/, monitor/nodes/ops/voice modules, launchd, react static
- memory-service: integration_endpoints, integrations, voice_endpoints, static UI
- aurora-service: full app suite (analysis, job_store, orchestrator, reporting, schemas, subagents)
- sofiia-supervisor: new supervisor service
- aistalk-bridge-lite: Telegram bridge lite
- calendar-service: CalDAV calendar service with reminders
- mlx-stt-service / mlx-tts-service: Apple Silicon speech services
- binance-bot-monitor: market monitor service
- node-worker: STT/TTS memory providers

New tools (9): agent_email, browser_tool, contract_tool, observability_tool,
oncall_tool, pr_reviewer_tool, repo_tool, safe_code_executor, secure_vault

New crews: agromatrix_crew (10 modules: depth_classifier, doc_facts, doc_focus,
farm_state, light_reply, llm_factory, memory_manager, proactivity, reflection_engine,
session_context, style_adapter, telemetry)

Tests: 85+ test files for all new modules
Made-with: Cursor
2026-03-03 07:14:14 -08:00

197 lines
7.5 KiB
Python

"""
Tests for incident_intelligence.py — detect_recurrence function.
Builds a controlled MemoryIncidentStore dataset with known timestamps/signatures.
"""
import sys
import os
import datetime
import pytest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "services", "router"))
def _ts(days_ago: float = 0.0) -> str:
return (datetime.datetime.utcnow() - datetime.timedelta(days=days_ago)).isoformat()
def _make_inc(store, service, kind_tag, sig=None, days_ago=0.0,
status="open", severity="P2"):
meta = {}
if sig:
meta["incident_signature"] = sig
if kind_tag:
meta["kind"] = kind_tag
inc = store.create_incident({
"service": service,
"env": "prod",
"severity": severity,
"title": f"{kind_tag} on {service}",
"started_at": _ts(days_ago),
"created_by": "test",
"meta": meta,
})
if status == "closed":
store.close_incident(inc["id"], _ts(days_ago - 0.01), "resolved")
return inc
@pytest.fixture
def store():
from incident_store import MemoryIncidentStore
return MemoryIncidentStore()
@pytest.fixture
def policy():
import incident_intelligence
incident_intelligence._POLICY_CACHE = None
return {
"correlation": {"lookback_days": 30, "max_related": 10, "min_score": 20, "rules": []},
"recurrence": {
"windows_days": [7, 30],
"thresholds": {
"signature": {"warn": 2, "high": 4},
"kind": {"warn": 3, "high": 6},
},
"top_n": 15,
"recommendations": {
"signature_high": "Fix signature {sig}",
"signature_warn": "Review signature {sig}",
"kind_high": "Fix kind {kind}",
"kind_warn": "Review kind {kind}",
},
},
"digest": {"markdown_max_chars": 8000, "top_incidents": 20,
"output_dir": "/tmp/test_intel_reports",
"include_closed": True, "include_open": True},
}
# ─── Tests ────────────────────────────────────────────────────────────────────
class TestDetectRecurrence:
def test_counts_correct_for_7d(self, store, policy):
from incident_intelligence import detect_recurrence
SIG = "aaabbbccc111222"
# 5 incidents in last 7d with same sig
for i in range(5):
_make_inc(store, "gateway", "error_rate", sig=SIG, days_ago=float(i) / 7.0)
# 1 incident older than 7d — should NOT be counted in 7d window
_make_inc(store, "gateway", "error_rate", sig=SIG, days_ago=8.0)
stats = detect_recurrence(window_days=7, policy=policy, store=store)
assert stats["window_days"] == 7
assert stats["total_incidents"] == 5
sigs = {s["signature"]: s for s in stats["top_signatures"]}
assert SIG in sigs
assert sigs[SIG]["count"] == 5
def test_counts_correct_for_30d(self, store, policy):
from incident_intelligence import detect_recurrence
SIG = "sig30dtest00001111"
for i in range(10):
_make_inc(store, "router", "latency", sig=SIG, days_ago=float(i) * 2.5)
# 1 older than 30d
_make_inc(store, "router", "latency", sig=SIG, days_ago=31.0)
stats = detect_recurrence(window_days=30, policy=policy, store=store)
sigs = {s["signature"]: s for s in stats["top_signatures"]}
assert SIG in sigs
assert sigs[SIG]["count"] == 10
def test_threshold_classify_warn(self, store, policy):
from incident_intelligence import detect_recurrence
SIG = "warnsigaabb1122"
# 3 incidents → should hit warn threshold (warn=2)
for i in range(3):
_make_inc(store, "svc", "latency", sig=SIG, days_ago=float(i) * 0.5)
stats = detect_recurrence(window_days=7, policy=policy, store=store)
warn_sigs = [s["signature"] for s in stats["warn_recurrence"]["signatures"]]
high_sigs = [s["signature"] for s in stats["high_recurrence"]["signatures"]]
assert SIG in warn_sigs, "3 incidents should appear in warn (warn_threshold=2, high=4)"
assert SIG not in high_sigs, "3 < 4 should NOT be in high"
def test_threshold_classify_high(self, store, policy):
from incident_intelligence import detect_recurrence
SIG = "highsig11223344556677"
# 5 incidents → should hit high threshold (high=4)
for i in range(5):
_make_inc(store, "svc", "latency", sig=SIG, days_ago=float(i) * 0.3)
stats = detect_recurrence(window_days=7, policy=policy, store=store)
high_sigs = [s["signature"] for s in stats["high_recurrence"]["signatures"]]
assert SIG in high_sigs, "5 incidents >= 4 → high"
def test_kind_frequency_counted(self, store, policy):
from incident_intelligence import detect_recurrence
for i in range(6):
_make_inc(store, f"svc_{i}", "error_rate", days_ago=float(i) * 0.5)
stats = detect_recurrence(window_days=7, policy=policy, store=store)
kinds = {k["kind"]: k for k in stats["top_kinds"]}
assert "error_rate" in kinds
assert kinds["error_rate"]["count"] == 6
def test_kind_threshold_high(self, store, policy):
from incident_intelligence import detect_recurrence
for i in range(7):
_make_inc(store, f"svc_{i}", "latency", days_ago=float(i) * 0.5)
stats = detect_recurrence(window_days=7, policy=policy, store=store)
high_kinds = [k["kind"] for k in stats["high_recurrence"]["kinds"]]
assert "latency" in high_kinds, "7 >= 6 → high kind"
def test_services_cross_counted(self, store, policy):
from incident_intelligence import detect_recurrence
SIG = "crosssvc1234abcd"
for svc in ["gateway", "router", "sofiia"]:
_make_inc(store, svc, "oom", sig=SIG, days_ago=1.0)
stats = detect_recurrence(window_days=7, policy=policy, store=store)
sigs = {s["signature"]: s for s in stats["top_signatures"]}
if SIG in sigs:
services = set(sigs[SIG].get("services", []))
assert "gateway" in services and "router" in services
def test_open_closed_counts(self, store, policy):
from incident_intelligence import detect_recurrence
_make_inc(store, "svc", "latency", days_ago=1.0, status="open")
_make_inc(store, "svc", "latency", days_ago=1.5, status="closed")
_make_inc(store, "svc", "latency", days_ago=2.0, status="open")
stats = detect_recurrence(window_days=7, policy=policy, store=store)
assert stats["open_count"] == 2
assert stats["closed_count"] == 1
assert stats["total_incidents"] == 3
def test_empty_store(self, store, policy):
from incident_intelligence import detect_recurrence
stats = detect_recurrence(window_days=7, policy=policy, store=store)
assert stats["total_incidents"] == 0
assert stats["top_signatures"] == []
assert stats["top_kinds"] == []
def test_top_n_enforced(self, store, policy):
from incident_intelligence import detect_recurrence
# Create 20 different signatures
for i in range(20):
_make_inc(store, "svc", "latency", sig=f"sig{i:032d}", days_ago=float(i) * 0.2)
policy["recurrence"]["top_n"] = 5
stats = detect_recurrence(window_days=7, policy=policy, store=store)
assert len(stats["top_signatures"]) <= 5