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da0ce7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | #!/usr/bin/env python3
"""\
🧠 Reset Learned Analytics (AdaptiveLearningEngine)
Why:
- The Learned analytics is currently using trade outcomes from an earlier tuning/training era.
- When you change the strategy objective (e.g., “net pennies after costs”), old outcomes can poison gating.
What this does:
- Creates a timestamped backup of `adaptive_learning_history.json`.
- Resets the file to an empty trade list and empty thresholds so current defaults apply.
Safe by default:
- Requires `--yes` to actually modify anything.
Usage:
python scripts/reset_learned_analytics.py --yes
Optional:
python scripts/reset_learned_analytics.py --yes --reason "penny-profit regime reset"
"""
from __future__ import annotations
from aureon_baton_link import link_system as _baton_link; _baton_link(__name__)
import argparse
from learned_analytics_reset import reset_learned_analytics
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument('--yes', action='store_true', help='Actually perform the reset (required).')
parser.add_argument('--file', default='adaptive_learning_history.json', help='Path to learning history JSON.')
parser.add_argument('--reason', default='manual reset', help='Reason recorded into the reset file.')
parser.add_argument('--regime-tag', default='penny_profit_v1', help='Regime tag to make startup reset idempotent.')
args = parser.parse_args()
path = args.file
if not args.yes:
print('❌ Refusing to reset without --yes')
print(f' Target file: {path}')
return 2
result = reset_learned_analytics(
history_path=path,
reason=args.reason,
regime_tag=args.regime_tag,
archive=True,
)
if not result.did_reset:
print(f'❌ Reset failed: {result.error or "unknown error"}')
return 1
if result.backup_path:
print(f'📦 Archived existing learned history → {result.backup_path}')
print(f'✅ Reset learned analytics: {path}')
print(' - trades: 0')
print(' - thresholds: defaults will be used on next startup')
print(' Restart the bot process to pick up the reset.')
return 0
if __name__ == '__main__':
raise SystemExit(main())
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