Kwaku Danso
3f8bc58ca9
Phase 1 — Core API (Go): - Events, guests, tokens, RSVPs CRUD on PostgreSQL via pgx/v5 - HMAC-signed per-guest tokens with format validation - Health endpoint with DB ping, slog JSON logging, graceful shutdown Phase 2 — NATS + Fraud Engine: - NATS JetStream pub/sub with explicit-ack consumers - Python/FastAPI fraud engine with heuristic risk scoring (fingerprint mismatch, IP change, missing signals, repeated access) - gRPC sync scoring with 250ms fail-open timeout - Per-guest baseline tracking; risk bands low/medium/high/block Phase 3 — Notifications + Frontend: - Notification worker scaffolding (Twilio/SES stubs, retry/backoff) - Nuxt 3 frontend with Tailwind dark theme + brand green - Live monitor via WebSocket with auto-reconnect - Activity history endpoint backfills monitor with RSVPs + scored access checks (including blocked attempts) UX polish: - Marketing-friendly landing page (hero mockup, how-it-works, features, use cases, testimonials, FAQ, final CTA) - Animated layered card mockups on landing + new-event page - Plus-ones stepper, RSVP status badges, filter buttons - Friendly access-check labels (Verified/Review/Suspicious/Blocked) - Dashboard hydration fix via ClientOnly wrapper Infrastructure: - docker-compose for full local dev (postgres, nats, api, fraud-engine, notifier, frontend) - Multi-stage Dockerfiles, non-root UID 1000 - Integration tests with testcontainers-go Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
82 lines
2.2 KiB
Python
82 lines
2.2 KiB
Python
from datetime import UTC, datetime
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from uuid import uuid4
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from app.schemas import AccessAttempted
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from app.scoring import HeuristicScorer, risk_band
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def _evt(
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*,
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guest_id=None,
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fingerprint=None,
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ip=None,
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user_agent="Mozilla/5.0",
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):
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return AccessAttempted(
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event_id=uuid4(),
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guest_id=guest_id or uuid4(),
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token_id=uuid4(),
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access_log_id=uuid4(),
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fingerprint=fingerprint,
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ip_address=ip,
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user_agent=user_agent,
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occurred_at=datetime.now(UTC),
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)
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def test_first_access_with_full_signals_is_low_risk():
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scorer = HeuristicScorer()
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evt = _evt(
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fingerprint={"ua": "Chrome", "platform": "macOS"},
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ip="203.0.113.7",
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)
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res = scorer.score(evt)
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assert res.score <= 30
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assert risk_band(res.score) == "low"
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def test_fingerprint_change_drives_score_up():
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scorer = HeuristicScorer()
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guest = uuid4()
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first = _evt(guest_id=guest, fingerprint={"ua": "Chrome"}, ip="203.0.113.7")
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scorer.score(first)
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second = _evt(guest_id=guest, fingerprint={"ua": "Safari"}, ip="203.0.113.7")
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res = scorer.score(second)
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assert res.score >= 40
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assert any("fingerprint" in r for r in res.reasons)
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def test_ip_change_and_fingerprint_change_classify_high_or_block():
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scorer = HeuristicScorer()
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guest = uuid4()
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scorer.score(_evt(guest_id=guest, fingerprint={"ua": "Chrome"}, ip="203.0.113.7"))
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suspicious = _evt(
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guest_id=guest,
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fingerprint={"ua": "Curl/8"},
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ip="198.51.100.42",
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user_agent=None,
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)
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res = scorer.score(suspicious)
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assert res.score >= 60
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assert risk_band(res.score) in {"high", "block"}
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def test_missing_fingerprint_and_user_agent_flagged():
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scorer = HeuristicScorer()
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res = scorer.score(_evt(fingerprint=None, ip="203.0.113.1", user_agent=None))
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assert "no device fingerprint provided" in res.reasons
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assert "missing user agent" in res.reasons
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def test_score_clamped_to_0_100():
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scorer = HeuristicScorer()
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# 10 successive accesses with no fingerprint, no UA, changing IPs
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guest = uuid4()
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for i in range(12):
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res = scorer.score(_evt(guest_id=guest, fingerprint=None, ip=f"10.0.{i}.1", user_agent=None))
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assert 0 <= res.score <= 100
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