File size: 2,392 Bytes
06793fd | 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 | #!/usr/bin/env python3
"""CLI wrapper for AgentMemory lesson operations."""
import sys
import argparse
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from memory import AgentMemory
def main():
parser = argparse.ArgumentParser(description="Manage agent lessons learned")
parser.add_argument("--db", help="Database path", default=None)
subparsers = parser.add_subparsers(dest="command", required=True)
# add command
add_p = subparsers.add_parser("add", help="Record a lesson learned")
add_p.add_argument("action", help="What was done")
add_p.add_argument("context", help="Situation/topic")
add_p.add_argument("outcome", choices=["positive", "negative", "neutral"], help="Result")
add_p.add_argument("insight", help="What was learned")
# list command
list_p = subparsers.add_parser("list", help="List lessons")
list_p.add_argument("--context", "-c", help="Filter by context")
list_p.add_argument("--outcome", "-o", choices=["positive", "negative", "neutral"])
list_p.add_argument("--limit", "-n", type=int, default=20)
# apply command
apply_p = subparsers.add_parser("apply", help="Mark a lesson as applied")
apply_p.add_argument("lesson_id", help="ID of lesson to mark applied")
args = parser.parse_args()
mem = AgentMemory(db_path=args.db)
if args.command == "add":
lesson_id = mem.learn(
action=args.action,
context=args.context,
outcome=args.outcome,
insight=args.insight
)
emoji = {"positive": "✅", "negative": "❌", "neutral": "➖"}[args.outcome]
print(f"{emoji} Lesson [{lesson_id}]: {args.insight[:60]}...")
elif args.command == "list":
lessons = mem.get_lessons(context=args.context, outcome=args.outcome, limit=args.limit)
if not lessons:
print("No lessons found.")
for l in lessons:
emoji = {"positive": "✅", "negative": "❌", "neutral": "➖"}[l.outcome]
print(f"{emoji} [{l.id}] {l.context}: {l.insight}")
print(f" Action: {l.action} | Applied: {l.applied_count}x")
elif args.command == "apply":
mem.apply_lesson(args.lesson_id)
print(f"📝 Marked lesson {args.lesson_id} as applied")
if __name__ == "__main__":
main()
|