Add electricity price ingestion and feature pipeline.

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

electricity_price_predictor/scripts/init_db.py

@@ -0,0 +1,23 @@
+from pathlib import Path
+
+from sqlalchemy import text
+
+from electricity_price_predictor.db import get_engine
+
+
+def main() -> None:
+    engine = get_engine()
+    schema_path = Path(__file__).resolve().parents[1] / "sql" / "001_electricity_price_schema.sql"
+    sql = schema_path.read_text(encoding="utf-8")
+
+    with engine.begin() as conn:
+        for statement in sql.split(";"):
+            stmt = statement.strip()
+            if stmt:
+                conn.execute(text(stmt))
+
+    print("Schema initialized for electricity price predictor.")
+
+
+if __name__ == "__main__":
+    main()