7a804e896d
Features: - Image generation (OpenAI, Gemini, Leonardo, Bria, Stability, Flux) - Nano Banana iterative editing - Video generation and upscaling - Audio TTS, STT, sound effects (ElevenLabs) - Text prompt studio and alt text - User authentication with JWT/cookies - Admin panel with voice management - Job queue with Celery - PostgreSQL + Redis backend - Next.js 15 + FastAPI architecture 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 (1M context) <noreply@anthropic.com>
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
"""Usage Log Model"""
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from sqlalchemy import Column, String, DateTime, ForeignKey, Integer, Numeric
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from sqlalchemy.dialects.postgresql import UUID, JSONB
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from sqlalchemy.sql import func
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import uuid
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from app.database import Base
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class UsageLog(Base):
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__tablename__ = "usage_logs"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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user_id = Column(UUID(as_uuid=True), ForeignKey("users.id", ondelete="SET NULL"))
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job_id = Column(UUID(as_uuid=True), ForeignKey("jobs.id", ondelete="SET NULL"))
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# What was used
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module = Column(String(100), nullable=False)
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action = Column(String(100), nullable=False)
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api_provider = Column(String(100))
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api_model = Column(String(100))
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# Metrics
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tokens_input = Column(Integer)
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tokens_output = Column(Integer)
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api_credits_used = Column(Numeric(10, 4))
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estimated_cost_usd = Column(Numeric(10, 4))
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processing_time_ms = Column(Integer)
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# Request details
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request_metadata = Column(JSONB)
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response_metadata = Column(JSONB)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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