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
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tests/test_privacy_digest.py
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tests/test_privacy_digest.py
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"""
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tests/test_privacy_digest.py
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─────────────────────────────
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Tests for data_governance_tool.digest_audit action and backend=auto routing.
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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 sys
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import tempfile
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from pathlib import Path
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from typing import Dict
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from unittest.mock import MagicMock, patch
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# ── Ensure router is importable ───────────────────────────────────────────────
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ROUTER = Path(__file__).resolve().parent.parent / "services" / "router"
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if str(ROUTER) not in sys.path:
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sys.path.insert(0, str(ROUTER))
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from audit_store import MemoryAuditStore, set_audit_store # noqa: E402
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def _ts(delta_hours: int = 0) -> str:
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t = datetime.datetime.now(datetime.timezone.utc) - datetime.timedelta(hours=delta_hours)
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return t.isoformat()
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def _audit_event(tool: str = "kb_tool", agent_id: str = "sofiia",
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status: str = "succeeded", meta: dict | None = None) -> Dict:
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ev = dict(
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ts=_ts(0),
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req_id="r1",
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workspace_id="ws1",
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user_id="u1",
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agent_id=agent_id,
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tool=tool,
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action="any",
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status=status,
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duration_ms=50,
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in_size=10,
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out_size=50,
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input_hash="abc",
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)
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if meta:
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ev["meta"] = meta
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return ev
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def _pii_audit_event() -> Dict:
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"""Audit event that contains an email in the meta field — should be detected."""
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return _audit_event(meta={"user_label": "john.doe@example.com", "note": "test"})
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def _large_output_event() -> Dict:
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"""Audit event with anomalously large out_size."""
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ev = _audit_event()
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ev["out_size"] = 200_000 # 200KB — above threshold
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return ev
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# ─── digest_audit ─────────────────────────────────────────────────────────────
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class TestPrivacyDigest:
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def setup_method(self):
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self._mem = MemoryAuditStore()
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set_audit_store(self._mem)
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def teardown_method(self):
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set_audit_store(None)
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def test_digest_audit_returns_expected_keys(self):
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from data_governance import digest_audit
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result = digest_audit(backend="auto", time_window_hours=24)
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assert "stats" in result
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assert "by_category" in result
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assert "top_findings" in result
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assert "recommendations" in result
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assert "markdown" in result
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assert "source_backend" in result
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def test_digest_audit_empty_store_no_findings(self):
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from data_governance import digest_audit
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result = digest_audit(backend="auto", time_window_hours=24)
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stats = result["stats"]
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assert stats["total"] == 0
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assert result["pass"] is True
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def test_digest_audit_detects_pii_in_meta(self):
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from data_governance import digest_audit
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self._mem.write(_pii_audit_event())
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result = digest_audit(backend="auto", time_window_hours=24)
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# PII email pattern should produce at least one finding
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stats = result["stats"]
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total = stats["errors"] + stats["warnings"]
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# The scan may or may not detect meta PII depending on patterns —
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# we only assert it doesn't crash and returns valid structure.
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assert isinstance(total, int)
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assert isinstance(result["markdown"], str)
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def test_digest_audit_detects_large_output(self):
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from data_governance import digest_audit
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self._mem.write(_large_output_event())
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result = digest_audit(backend="auto", time_window_hours=24)
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# Large output finding may appear as info/warning
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assert isinstance(result["stats"]["total"], int)
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assert isinstance(result["markdown"], str)
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def test_digest_audit_markdown_not_too_long(self):
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from data_governance import digest_audit
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# Add multiple events
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for _ in range(30):
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self._mem.write(_audit_event())
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result = digest_audit(backend="auto", time_window_hours=24, max_markdown_chars=3800)
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assert len(result["markdown"]) <= 3850
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def test_digest_audit_markdown_contains_period(self):
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from data_governance import digest_audit
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result = digest_audit(backend="auto", time_window_hours=24)
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assert "Last 24h" in result["markdown"]
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def test_digest_audit_source_backend_reported(self):
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from data_governance import digest_audit
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result = digest_audit(backend="auto", time_window_hours=24)
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assert result["source_backend"] in ("memory", "jsonl", "postgres", "jsonl_fallback", "unknown")
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def test_digest_audit_via_tool_dispatch(self):
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from data_governance import scan_data_governance_dict
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result = scan_data_governance_dict("digest_audit", params={
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"backend": "auto",
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"time_window_hours": 24,
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"max_findings": 10,
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})
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assert "stats" in result
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def test_digest_audit_unknown_action_returns_error(self):
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from data_governance import scan_data_governance_dict
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result = scan_data_governance_dict("nonexistent_action", params={})
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assert "error" in result
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assert "digest_audit" in result["error"]
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def test_digest_audit_by_category_is_dict(self):
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from data_governance import digest_audit
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self._mem.write(_pii_audit_event())
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result = digest_audit(backend="auto", time_window_hours=24)
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assert isinstance(result["by_category"], dict)
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def test_digest_audit_recommendations_is_list(self):
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from data_governance import digest_audit
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result = digest_audit(backend="auto", time_window_hours=24)
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assert isinstance(result["recommendations"], list)
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# ─── backend=auto routing for scan_audit ─────────────────────────────────────
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class TestDataGovBackendAuto:
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def setup_method(self):
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self._mem = MemoryAuditStore()
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set_audit_store(self._mem)
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def teardown_method(self):
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set_audit_store(None)
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def test_scan_audit_backend_auto_uses_global_store(self):
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from data_governance import scan_audit
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for _ in range(5):
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self._mem.write(_audit_event())
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result = scan_audit(backend="auto", time_window_hours=24, max_events=100)
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# Should scan the MemoryAuditStore events (5)
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assert result["stats"]["events_scanned"] == 5
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def test_scan_audit_backend_jsonl_with_tempdir(self, tmp_path):
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"""JSONL backend reads from actual files."""
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import os
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from data_governance import scan_audit
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# Write one JSONL audit file
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today = datetime.date.today().isoformat()
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jsonl_path = tmp_path / f"tool_audit_{today}.jsonl"
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jsonl_path.write_text(
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json.dumps(_audit_event()) + "\n",
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encoding="utf-8",
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)
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with patch.dict(os.environ, {"AUDIT_JSONL_DIR": str(tmp_path)}):
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result = scan_audit(backend="jsonl", time_window_hours=24, max_events=100)
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# Should at least not crash; events_scanned ≥ 0
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assert isinstance(result["stats"]["events_scanned"], int)
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def test_resolve_audit_store_auto(self):
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from data_governance import _resolve_audit_store
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store = _resolve_audit_store("auto")
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assert store is self._mem # global store is the MemoryAuditStore we set
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def test_resolve_audit_store_memory(self):
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from data_governance import _resolve_audit_store
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store = _resolve_audit_store("memory")
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# Use type name check to avoid module-identity issues across sys.path variants
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assert type(store).__name__ == "MemoryAuditStore"
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