mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-12 01:54:45 +08:00
139063283f
- Use ExtensionsConfig.from_file() instead of cached config to always read latest configuration from disk in LangGraph Server - Add mtime-based cache invalidation for MCP tools to detect config file changes made through Gateway API - Call reload_extensions_config() in Gateway API after updates to refresh the global cache - Remove unnecessary MCP initialization from Gateway startup since MCP tools are only used by LangGraph Server Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
98 lines
3.3 KiB
Python
98 lines
3.3 KiB
Python
from pathlib import Path
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from .parser import parse_skill_file
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from .types import Skill
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def get_skills_root_path() -> Path:
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"""
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Get the root path of the skills directory.
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Returns:
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Path to the skills directory (deer-flow/skills)
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"""
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# backend directory is current file's parent's parent's parent
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backend_dir = Path(__file__).resolve().parent.parent.parent
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# skills directory is sibling to backend directory
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skills_dir = backend_dir.parent / "skills"
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return skills_dir
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def load_skills(skills_path: Path | None = None, use_config: bool = True, enabled_only: bool = False) -> list[Skill]:
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"""
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Load all skills from the skills directory.
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Scans both public and custom skill directories, parsing SKILL.md files
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to extract metadata. The enabled state is determined by the skills_state_config.json file.
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Args:
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skills_path: Optional custom path to skills directory.
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If not provided and use_config is True, uses path from config.
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Otherwise defaults to deer-flow/skills
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use_config: Whether to load skills path from config (default: True)
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enabled_only: If True, only return enabled skills (default: False)
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Returns:
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List of Skill objects, sorted by name
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"""
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if skills_path is None:
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if use_config:
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try:
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from src.config import get_app_config
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config = get_app_config()
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skills_path = config.skills.get_skills_path()
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except Exception:
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# Fallback to default if config fails
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skills_path = get_skills_root_path()
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else:
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skills_path = get_skills_root_path()
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if not skills_path.exists():
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return []
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skills = []
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# Scan public and custom directories
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for category in ["public", "custom"]:
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category_path = skills_path / category
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if not category_path.exists() or not category_path.is_dir():
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continue
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# Each subdirectory is a potential skill
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for skill_dir in category_path.iterdir():
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if not skill_dir.is_dir():
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continue
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skill_file = skill_dir / "SKILL.md"
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if not skill_file.exists():
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continue
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skill = parse_skill_file(skill_file, category=category)
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if skill:
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skills.append(skill)
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# Load skills state configuration and update enabled status
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# NOTE: We use ExtensionsConfig.from_file() instead of get_extensions_config()
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# to always read the latest configuration from disk. This ensures that changes
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# made through the Gateway API (which runs in a separate process) are immediately
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# reflected in the LangGraph Server when loading skills.
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try:
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from src.config.extensions_config import ExtensionsConfig
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extensions_config = ExtensionsConfig.from_file()
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for skill in skills:
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skill.enabled = extensions_config.is_skill_enabled(skill.name, skill.category)
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except Exception as e:
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# If config loading fails, default to all enabled
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print(f"Warning: Failed to load extensions config: {e}")
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# Filter by enabled status if requested
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if enabled_only:
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skills = [skill for skill in skills if skill.enabled]
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# Sort by name for consistent ordering
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skills.sort(key=lambda s: s.name)
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return skills
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