Files
alpaca-llm-bot-v1/db.py

44 lines
1.4 KiB
Python

from sqlalchemy import create_engine, Column, Integer, String, Float, DateTime, Text
from sqlalchemy.orm import declarative_base, sessionmaker
from datetime import datetime
from config import settings
Base = declarative_base()
engine = create_engine(settings.db_path, echo=False)
SessionLocal = sessionmaker(bind=engine)
class BotDecision(Base):
__tablename__ = "decisions"
id = Column(Integer, primary_key=True)
ts = Column(DateTime, default=datetime.utcnow)
symbol = Column(String(16), index=True)
action = Column(String(16)) # buy/sell/hold
confidence = Column(Float)
reason = Column(Text)
market_context = Column(Text)
order_usd = Column(Float)
status = Column(String(32), default="planned")
class TradeExecution(Base):
__tablename__ = "trades"
id = Column(Integer, primary_key=True)
ts = Column(DateTime, default=datetime.utcnow)
symbol = Column(String(16), index=True)
side = Column(String(8))
qty = Column(Float)
notional = Column(Float)
alpaca_order_id = Column(String(128))
raw = Column(Text)
class CuratedInsight(Base):
__tablename__ = "insights"
id = Column(Integer, primary_key=True)
ts = Column(DateTime, default=datetime.utcnow)
symbol = Column(String(16), index=True)
summary = Column(Text)
sources = Column(Text)
def init_db():
Base.metadata.create_all(bind=engine)