e2a3bd456d
Wire the trading bot to real Alpaca market data and persist pipeline state to the database so the dashboard displays live information. - Add market-data service fetching OHLCV bars from Alpaca, publishing to market:bars Redis Stream; signal generator consumes bars and injects current_price into signals for position sizing - Sentiment analyzer now persists Article + ArticleSentiment rows to DB after scoring, with duplicate and error handling - API gateway runs a background portfolio sync task that snapshots Alpaca account state into PortfolioSnapshot/Position DB tables during market hours - TradeSignal carries a signal_id UUID; signal generator and trade executor both persist their records to DB with cross-references - 303 unit tests pass (57 new tests added)
31 lines
963 B
Python
31 lines
963 B
Python
"""API Gateway configuration — extends shared BaseConfig with JWT, CORS, and WebAuthn settings."""
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from shared.config import BaseConfig
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class ApiGatewayConfig(BaseConfig):
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"""Configuration for the API Gateway service.
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All settings can be overridden via environment variables
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prefixed with ``TRADING_``.
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"""
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# JWT settings — TRADING_JWT_SECRET_KEY must be set in environment
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jwt_secret_key: str
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jwt_algorithm: str = "HS256"
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access_token_expire_minutes: int = 15
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refresh_token_expire_days: int = 7
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# Alpaca brokerage credentials (for portfolio sync)
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alpaca_api_key: str = ""
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alpaca_secret_key: str = ""
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paper_trading: bool = True
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snapshot_interval_seconds: int = 60
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# CORS settings
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cors_origins: list[str] = ["http://localhost:5173"]
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# WebAuthn (passkey) relying party settings
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rp_id: str = "localhost"
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rp_name: str = "Trading Bot"
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rp_origin: str = "http://localhost:5173"
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