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@@ -1,5 +1,5 @@
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import sqlite3
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from typing import Dict
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from typing import Dict, List, cast
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import pandas as pd
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@@ -83,9 +83,53 @@ def load_market_data(datafile: str, config: Dict) -> pd.DataFrame:
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df = df[(df["tstamp"] >= start_time) & (df["tstamp"] <= end_time)]
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df["tstamp"] = pd.to_datetime(df["tstamp"])
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return df
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return cast(pd.DataFrame, df)
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def get_available_instruments_from_db(datafile: str, config: Dict) -> List[str]:
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"""
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Auto-detect available instruments from the database by querying distinct instrument_id values.
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Returns instruments without the configured prefix.
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"""
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try:
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conn = sqlite3.connect(datafile)
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# Build exclusion list with full instrument_ids
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exclude_instruments = config.get("exclude_instruments", [])
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prefix = config.get("instrument_id_pfx", "")
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exclude_instrument_ids = [f"{prefix}{inst}" for inst in exclude_instruments]
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# Query to get distinct instrument_ids
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query = f"""
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SELECT DISTINCT instrument_id
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FROM {config['db_table_name']}
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WHERE exchange_id = ?
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"""
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# Add exclusion clause if there are instruments to exclude
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if exclude_instrument_ids:
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placeholders = ','.join(['?' for _ in exclude_instrument_ids])
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query += f" AND instrument_id NOT IN ({placeholders})"
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cursor = conn.execute(query, (config["exchange_id"],) + tuple(exclude_instrument_ids))
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else:
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cursor = conn.execute(query, (config["exchange_id"],))
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instrument_ids = [row[0] for row in cursor.fetchall()]
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conn.close()
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# Remove the configured prefix to get instrument symbols
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instruments = []
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for instrument_id in instrument_ids:
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if instrument_id.startswith(prefix):
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symbol = instrument_id[len(prefix) :]
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instruments.append(symbol)
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else:
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instruments.append(instrument_id)
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return sorted(instruments)
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except Exception as e:
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print(f"Error auto-detecting instruments from {datafile}: {str(e)}")
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return []
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# if __name__ == "__main__":
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