1a95fe1caa
- Delete obsolete files: data_fetcher_old.py, market_old.py, base_strategy.py (root), strategy_sma_cross.py, and old architecture remnants (address_monitor.py, position_monitor.py, trade_log.py, wallet_data.py, whale_tracker.py) - Delete zero-byte Docker artifacts and runtime files (clp_hedger.log, clp_hedger/hedge_status.json) - Move one-off utility scripts to scripts/ directory - Move example/template files to .temp/ directory - Update .gitignore: add entries for clp_hedger.log, clp_hedger/hedge_status.json, Docker layer hash files, Using, Running, and backups/ - Update .dockerignore: add clp_hedger.log, clp_hedger/hedge_status.json, backups/ - Create example config files: _data/strategies.json.example, _data/backtesting_conf.json.example, _data/coin_precision.json.example - Update GEMINI.md: remove outdated session summaries and duplicate review section - Update review.md: add cleanup status section, update remaining recommendations - Update MIGRATION_PLAN.md: mark completed phases, update file references - Update DOCKER_MIGRATION_GUIDE.md: update import_csv.py path reference
57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
import sqlite3
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import logging
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import os
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from logging_utils import setup_logging
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def cleanup_market_cap_tables():
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"""
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Scans the database and drops all tables related to market cap data
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to allow for a clean refresh.
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"""
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setup_logging('normal', 'DBCleanup')
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db_path = os.path.join("_data", "market_data.db")
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if not os.path.exists(db_path):
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logging.error(f"Database file not found at '{db_path}'. Nothing to clean.")
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return
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logging.info(f"Connecting to database at '{db_path}'...")
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try:
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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# Find all tables that were created by the market cap fetcher
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cursor.execute("""
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SELECT name FROM sqlite_master
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WHERE type='table'
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AND (name LIKE '%_market_cap' OR name LIKE 'TOTAL_%')
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""")
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tables_to_drop = cursor.fetchall()
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if not tables_to_drop:
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logging.info("No market cap tables found to clean up. Database is already clean.")
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return
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logging.warning(f"Found {len(tables_to_drop)} market cap tables to remove...")
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for table in tables_to_drop:
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table_name = table[0]
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try:
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logging.info(f"Dropping table: {table_name}...")
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conn.execute(f'DROP TABLE IF EXISTS "{table_name}"')
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except Exception as e:
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logging.error(f"Failed to drop table {table_name}: {e}")
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conn.commit()
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logging.info("--- Database cleanup complete ---")
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except sqlite3.Error as e:
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logging.error(f"A database error occurred: {e}")
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except Exception as e:
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logging.error(f"An unexpected error occurred: {e}")
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if __name__ == "__main__":
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cleanup_market_cap_tables()
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