Nan Gao
c09c334544
* fix(harness): resolve runtime paths from project root * docs(config): update * fix(config): address runtime path review feedback * test(config): fix skills path e2e root * test(config): cover legacy config fallback when project root lacks config files Verifies that when DEER_FLOW_PROJECT_ROOT is unset and cwd has no config.yaml/extensions_config.json, AppConfig and ExtensionsConfig fall back to the legacy backend/repo-root candidates — the backward-compat path requested in PR #2642 review. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
import os
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from pathlib import Path
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from pydantic import BaseModel, Field
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from deerflow.config.runtime_paths import project_root, resolve_path
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class SkillsConfig(BaseModel):
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"""Configuration for skills system"""
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use: str = Field(
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default="deerflow.skills.storage.local_skill_storage:LocalSkillStorage",
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description="Class path of the SkillStorage implementation.",
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)
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path: str | None = Field(
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default=None,
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description="Path to skills directory. If not specified, defaults to skills under the caller project root.",
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)
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container_path: str = Field(
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default="/mnt/skills",
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description="Path where skills are mounted in the sandbox container",
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)
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def get_skills_path(self) -> Path:
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"""
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Get the resolved skills directory path.
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Returns:
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Path to the skills directory
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"""
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if self.path:
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# Use configured path (can be absolute or relative to project root)
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return resolve_path(self.path)
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if env_path := os.getenv("DEER_FLOW_SKILLS_PATH"):
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return resolve_path(env_path)
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return project_root() / "skills"
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def get_skill_container_path(self, skill_name: str, category: str = "public") -> str:
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"""
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Get the full container path for a specific skill.
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Args:
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skill_name: Name of the skill (directory name)
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category: Category of the skill (public or custom)
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Returns:
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Full path to the skill in the container
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"""
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return f"{self.container_path}/{category}/{skill_name}"
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