Download skill_libraries/merged/agent-memory/cli/entity.py from simonlqy/SkillGate-Assets: direct link, hf CLI and curl.
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https://huggingface.co/datasets/simonlqy/SkillGate-Assets/resolve/main/skill_libraries/merged/agent-memory/cli/entity.py
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hf download hf://datasets/simonlqy/SkillGate-Assets/skill_libraries/merged/agent-memory/cli/entity.py
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curl -L -o entity.py https://huggingface.co/datasets/simonlqy/SkillGate-Assets/resolve/main/skill_libraries/merged/agent-memory/cli/entity.py
3.63 kB
| #!/usr/bin/env python3 | |
| """CLI wrapper for AgentMemory entity operations.""" | |
| import sys | |
| import json | |
| 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 tracked entities") | |
| parser.add_argument("--db", help="Database path", default=None) | |
| subparsers = parser.add_subparsers(dest="command", required=True) | |
| # track command | |
| track_p = subparsers.add_parser("track", help="Track a new entity") | |
| track_p.add_argument("name", help="Entity name") | |
| track_p.add_argument("type", help="Entity type (person, project, company, etc.)") | |
| track_p.add_argument("--attr", "-a", nargs=2, action="append", metavar=("KEY", "VALUE"), | |
| help="Attribute key-value pair (repeatable)") | |
| # get command | |
| get_p = subparsers.add_parser("get", help="Get entity details") | |
| get_p.add_argument("name", help="Entity name") | |
| get_p.add_argument("--type", "-t", help="Entity type (optional)") | |
| # update command | |
| update_p = subparsers.add_parser("update", help="Update entity attributes") | |
| update_p.add_argument("name", help="Entity name") | |
| update_p.add_argument("type", help="Entity type") | |
| update_p.add_argument("--attr", "-a", nargs=2, action="append", metavar=("KEY", "VALUE"), | |
| help="Attribute to update", required=True) | |
| # list command | |
| list_p = subparsers.add_parser("list", help="List entities") | |
| list_p.add_argument("--type", "-t", help="Filter by type") | |
| # link command | |
| link_p = subparsers.add_parser("link", help="Link a fact to an entity") | |
| link_p.add_argument("name", help="Entity name") | |
| link_p.add_argument("fact_id", help="Fact ID to link") | |
| args = parser.parse_args() | |
| mem = AgentMemory(db_path=args.db) | |
| if args.command == "track": | |
| attrs = dict(args.attr) if args.attr else {} | |
| entity_id = mem.track_entity(args.name, args.type, attrs) | |
| print(f"β Tracking [{args.type}] {args.name} (id: {entity_id})") | |
| if attrs: | |
| print(f" Attributes: {json.dumps(attrs)}") | |
| elif args.command == "get": | |
| entity = mem.get_entity(args.name, entity_type=args.type) | |
| if not entity: | |
| print(f"β Entity '{args.name}' not found") | |
| sys.exit(1) | |
| print(f"[{entity.entity_type}] {entity.name}") | |
| print(f" ID: {entity.id}") | |
| print(f" First seen: {entity.first_seen}") | |
| print(f" Last updated: {entity.last_updated}") | |
| print(f" Attributes: {json.dumps(entity.attributes, indent=2)}") | |
| if entity.fact_ids: | |
| print(f" Linked facts: {len(entity.fact_ids)}") | |
| elif args.command == "update": | |
| attrs = dict(args.attr) | |
| entity = mem.update_entity(args.name, args.type, attrs) | |
| if entity: | |
| print(f"β Updated {entity.name}: {json.dumps(attrs)}") | |
| else: | |
| print(f"β Entity not found") | |
| elif args.command == "list": | |
| entities = mem.list_entities(entity_type=args.type) | |
| if not entities: | |
| print("No entities found.") | |
| for e in entities: | |
| attr_preview = ", ".join(f"{k}={v}" for k, v in list(e.attributes.items())[:3]) | |
| print(f"[{e.entity_type}] {e.name} ({attr_preview})") | |
| elif args.command == "link": | |
| mem.link_fact_to_entity(args.name, args.fact_id) | |
| print(f"π Linked fact {args.fact_id} to {args.name}") | |
| if __name__ == "__main__": | |
| main() | |