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Backend (Python 3.12/FastAPI): - 5 models: Transaction, DetectionRule, FraudAlert, AuditLog, RuleSnapshot - Rule engine: 4 rule types (amount, location, time, pattern) - 11 API routes: health, auth, transactions, alerts - Sync ingestion pipeline with explanation generation - JWT auth with 3 roles (analyst, admin, senior) - Seed script with 5 default rules + 50 synthetic transactions Frontend (React 19/TypeScript/Tailwind): - Auth: login page, JWT token management, role-based routing - Alerts: queue with filters, detail panel, decision workflow - Layout: responsive sidebar, top bar, protected routes - Full TypeScript, zero ts-ignore, Tailwind CSS Build: Backend imports clean, Frontend tsc --noEmit passes, vite build produces 296KB production bundle.
29 lines
1.3 KiB
Python
29 lines
1.3 KiB
Python
from sqlalchemy import Column, String, Integer, Text, DateTime, ForeignKey, Index, func
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from sqlalchemy.dialects.postgresql import UUID, JSONB
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from sqlalchemy.orm import relationship
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from fraudshield.models.base import Base, UUIDPrimaryKeyMixin
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class FraudAlert(Base, UUIDPrimaryKeyMixin):
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__tablename__ = "fraud_alerts"
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transaction_id = Column(UUID(as_uuid=True), ForeignKey("transactions.id"), nullable=False)
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score = Column(Integer, nullable=False)
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triggered_rules = Column(JSONB, nullable=False)
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explanation = Column(Text, nullable=False)
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status = Column(String(20), nullable=False, default="pending")
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assigned_to = Column(String(255), nullable=True)
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decision = Column(String(20), nullable=True)
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decided_by = Column(String(255), nullable=True)
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decided_at = Column(DateTime(timezone=True), nullable=True)
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justification = Column(Text, nullable=True)
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created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
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ruleset_version = Column(String(20), nullable=True)
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transaction = relationship("Transaction", back_populates="alert")
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__table_args__ = (
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Index("idx_alerts_status", "status"),
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Index("idx_alerts_created_at", "created_at"),
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Index("idx_alerts_transaction_id", "transaction_id"),
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)
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