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>
31 lines
673 B
Python
31 lines
673 B
Python
from datetime import datetime
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from typing import Any
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from uuid import UUID
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from pydantic import BaseModel, ConfigDict, Field
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class AccessAttempted(BaseModel):
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model_config = ConfigDict(extra="ignore")
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event_id: UUID
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guest_id: UUID
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token_id: UUID
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access_log_id: UUID
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fingerprint: dict[str, Any] | None = None
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ip_address: str | None = None
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user_agent: str | None = None
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referrer: str | None = None
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occurred_at: datetime
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class FraudScored(BaseModel):
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event_id: UUID
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guest_id: UUID
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token_id: UUID
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access_log_id: UUID
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score: int = Field(ge=0, le=100)
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risk: str
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reasons: list[str]
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scored_at: datetime
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