kbt-devops
fe76bc7629
Implements FastAPI backend with ML model support for energy trading, including price prediction models and RL-based battery trading policy. Features dashboard, trading, backtest, and settings API routes with WebSocket support for real-time updates.
20 lines
420 B
Python
20 lines
420 B
Python
from datetime import timedelta
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DEFAULT_BATTERY_CAPACITY_MWH = 100.0
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DEFAULT_CHARGE_RATE_MW = 50.0
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DEFAULT_DISCHARGE_RATE_MW = 50.0
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DEFAULT_EFFICIENCY = 0.90
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DEFAULT_HEARTBEAT_INTERVAL = 30
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WS_HEARTBEAT_INTERVAL = 30
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PRICE_DATA_REGIONS = ["FR", "BE", "DE", "NL", "UK"]
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DEFAULT_DATA_LIMIT = 1000
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BACKTEST_RESULT_TIMEOUT = timedelta(hours=1)
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TRAINING_RESULT_TIMEOUT = timedelta(hours=24)
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MAX_BACKTEST_TRADES = 10000
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