mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-07-06 09:21:16 -03:00
51c0135250
- Rename py/agent_cli/ -> py/metadata_ops/ (module was never agent-related) - Rename tests/agent_cli/ -> tests/metadata_ops/ - Remove 9 low-value/debug INFO log points across agent_handlers.py, agent_service.py, llm_service.py, and metadata_ops/__init__.py - Keep LLM raw response at DEBUG level for diagnostics - Consolidate per-model progress + LLM result into single concise log line with basename instead of full path - Update package/class/method docstrings to clarify this is a pipeline infrastructure, not a true agent loop
114 lines
3.6 KiB
Python
114 lines
3.6 KiB
Python
"""Subprocess entry point for ``metadata_ops`` (debugging / external use).
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Usage::
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python -m py.metadata_ops base-models list [--limit N]
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python -m py.metadata_ops metadata read <path>
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python -m py.metadata_ops metadata update <path> --json '{...}'
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python -m py.metadata_ops preview download <path> --url <url>
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python -m py.metadata_ops cache refresh <path>
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import sys
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from typing import Any, Dict, List
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def _build_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser(prog="lmcli", description="LoRA Manager Agent CLI")
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sub = parser.add_subparsers(dest="command", required=True)
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# base-models list
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base_models = sub.add_parser("base-models", aliases=["bm"])
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base_models_cmds = base_models.add_subparsers(dest="subcommand", required=True)
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base_models_list = base_models_cmds.add_parser("list")
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base_models_list.add_argument(
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"--limit", type=int, default=0, help="Max number of models (0 = all)"
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)
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# metadata read
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meta = sub.add_parser("metadata", aliases=["md"])
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meta_cmds = meta.add_subparsers(dest="subcommand", required=True)
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meta_read = meta_cmds.add_parser("read")
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meta_read.add_argument("path", type=str, help="Model file path")
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# metadata update
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meta_update = meta_cmds.add_parser("update")
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meta_update.add_argument("path", type=str, help="Model file path")
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meta_update.add_argument(
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"--json",
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type=str,
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required=True,
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help='JSON object of fields to update, e.g. \'{"base_model": "SDXL 1.0"}\'',
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)
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# preview download
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prev = sub.add_parser("preview", aliases=["pv"])
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prev_cmds = prev.add_subparsers(dest="subcommand", required=True)
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prev_dl = prev_cmds.add_parser("download")
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prev_dl.add_argument("path", type=str, help="Model file path")
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prev_dl.add_argument("--url", type=str, required=True, help="Preview image URL")
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# cache refresh
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cache = sub.add_parser("cache")
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cache_cmds = cache.add_subparsers(dest="subcommand", required=True)
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cache_refresh = cache_cmds.add_parser("refresh")
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cache_refresh.add_argument("path", type=str, help="Model file path")
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return parser
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async def _run(args: argparse.Namespace) -> Any:
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from . import ( # lazy import so startup is fast
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list_base_models,
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read_metadata,
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apply_metadata_updates,
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download_preview,
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refresh_cache,
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)
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cmd = args.command
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sub = args.subcommand
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if cmd in ("base-models", "bm") and sub == "list":
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return await list_base_models(limit=args.limit)
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if cmd in ("metadata", "md") and sub == "read":
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return await read_metadata(args.path)
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if cmd in ("metadata", "md") and sub == "update":
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updates: Dict[str, Any] = json.loads(args.json)
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return await apply_metadata_updates(args.path, updates)
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if cmd in ("preview", "pv") and sub == "download":
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return await download_preview(args.path, args.url)
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if cmd == "cache" and sub == "refresh":
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return await refresh_cache(args.path)
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raise ValueError(f"Unknown command: {cmd} {sub}")
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def main() -> None:
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parser = _build_parser()
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args = parser.parse_args()
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result = asyncio.run(_run(args))
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# Always print as JSON so callers can parse reliably
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if isinstance(result, list):
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for item in result:
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print(item)
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elif isinstance(result, dict):
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json.dump(result, sys.stdout, ensure_ascii=False, indent=2)
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print()
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else:
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print(json.dumps(result))
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if __name__ == "__main__":
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main()
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