074787f067
Features: - FastAPI backend with stocks, news, signals, watchlist, analytics endpoints - React frontend with TailwindCSS dark mode trading dashboard - Celery workers for news fetching, sentiment analysis, pattern detection - TimescaleDB schema for time-series stock data - Docker Compose setup for all services - OpenAI integration for sentiment analysis
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
"""Watchlist model."""
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from sqlalchemy import Column, String, Text, Boolean, DateTime, Numeric, Integer, ForeignKey
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.sql import func
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import uuid
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from app.core.database import Base
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class Watchlist(Base):
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"""Watchlist table model."""
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__tablename__ = "watchlist"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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stock_id = Column(UUID(as_uuid=True), ForeignKey("stocks.id", ondelete="CASCADE"), nullable=False, unique=True)
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# Alert thresholds
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panic_alert_threshold = Column(Numeric(5, 2), default=-50)
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price_alert_low = Column(Numeric(15, 4))
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price_alert_high = Column(Numeric(15, 4))
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# Preferences
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priority = Column(Integer, default=1, index=True) # 1 = high, 2 = medium, 3 = low
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notes = Column(Text)
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is_active = Column(Boolean, default=True)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
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