amazon-transcreation/backend/app/models/audit.py
DJP 98fa16bfc3 feat: complete Phase 1-2 scaffold — backend, frontend, pipeline skeleton
Full-stack Amazon AI Transcreation Platform with:
- FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables
- JWT auth (SSO-ready abstract provider pattern)
- 6-agent pipeline orchestrator with deterministic modules
- Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme)
- Job wizard, monitoring HUD, output review, admin screens
- 154 TM/reference files imported, 12 locales configured
- Docker Compose for all services

Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs
pending Phase 3 LLM integration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-10 12:31:43 -04:00

56 lines
2 KiB
Python

import uuid
from datetime import datetime
from sqlalchemy import DateTime, Float, ForeignKey, Integer, JSON, String, func
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.models.base import Base, generate_uuid
class AuditLog(Base):
__tablename__ = "audit_logs"
id: Mapped[uuid.UUID] = mapped_column(
primary_key=True, default=generate_uuid
)
user_id: Mapped[uuid.UUID | None] = mapped_column(
ForeignKey("users.id"), nullable=True
)
action: Mapped[str] = mapped_column(String(100), nullable=False)
entity_type: Mapped[str] = mapped_column(String(100), nullable=False)
entity_id: Mapped[str] = mapped_column(String(255), nullable=False)
details: Mapped[dict | None] = mapped_column(JSON, nullable=True)
timestamp: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False,
)
ip_address: Mapped[str | None] = mapped_column(String(45), nullable=True)
# Relationships
user = relationship("User", back_populates="audit_logs")
class TokenUsageLog(Base):
__tablename__ = "token_usage_logs"
id: Mapped[uuid.UUID] = mapped_column(
primary_key=True, default=generate_uuid
)
instance_id: Mapped[uuid.UUID] = mapped_column(
ForeignKey("locale_instances.id", ondelete="CASCADE"), nullable=False
)
agent_name: Mapped[str] = mapped_column(String(100), nullable=False)
model: Mapped[str] = mapped_column(String(100), nullable=False)
input_tokens: Mapped[int] = mapped_column(Integer, nullable=False)
output_tokens: Mapped[int] = mapped_column(Integer, nullable=False)
total_tokens: Mapped[int] = mapped_column(Integer, nullable=False)
estimated_cost_usd: Mapped[float] = mapped_column(Float, nullable=False)
timestamp: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False,
)
# Relationships
instance = relationship("LocaleInstance", back_populates="token_usage_logs")