73641b7e5b
Introduce ENTSO-E data retrieval with layered caching, robust bidding-zone and missing-data handling, and persist model-ready features with detailed architecture/developer documentation. Made-with: Cursor
24 lines
586 B
Python
24 lines
586 B
Python
from pathlib import Path
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from sqlalchemy import text
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from electricity_price_predictor.db import get_engine
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def main() -> None:
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engine = get_engine()
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schema_path = Path(__file__).resolve().parents[1] / "sql" / "001_electricity_price_schema.sql"
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sql = schema_path.read_text(encoding="utf-8")
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with engine.begin() as conn:
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for statement in sql.split(";"):
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stmt = statement.strip()
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if stmt:
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conn.execute(text(stmt))
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print("Schema initialized for electricity price predictor.")
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if __name__ == "__main__":
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main()
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