"""Seeder for the built-in agentfx analyst agent and its import skill. agentfx 任务深链(新系统 iframe 嵌入的智能体问答)固定使用内置智能体 ``agentfx-analyst``:根据任务详情与用户输入搜集信息,生成 md 研判报告 + 结构化 ``task-reports.json``(14 类),总结后经前端「入库」协助卡或 ``task-report-import`` 技能写入任务详情。 种子内容与 ``forced-research-responder`` 同一套模式: - ``_agentfx_seed_assets/agentfx-analyst/{config.yaml, SOUL.md}`` → 复制到 ``{DEER_FLOW_HOME}/agents/agentfx-analyst/``(目录存在则不动,尊重现场修改), 由启动流程的 ``_sync_legacy_agents`` upsert 进 ``agents`` 表(user_id IS NULL)。 - ``_agentfx_seed_assets/skills/task-report-import/`` → 复制到 ``skills/public/task-report-import/``(``skills/`` 被 .gitignore 排除,同样 需要补建;public 类技能在 extensions_config 缺省即启用)。 必须在 ``_sync_legacy_agents`` **之前**调用。 """ from __future__ import annotations import logging import shutil from pathlib import Path from deerflow.config.paths import get_paths logger = logging.getLogger(__name__) AGENTFX_AGENT_ID = "agentfx-analyst" TASK_REPORT_IMPORT_SKILL_NAME = "task-report-import" _ASSETS_DIR = Path(__file__).parent / "_agentfx_seed_assets" _SEED_FILES: tuple[str, ...] = ("config.yaml", "SOUL.md") def _ensure_agentfx_agent_dir() -> bool: """Create the built-in agent directory when missing; never overwrite it.""" try: agent_dir = get_paths().agent_dir(AGENTFX_AGENT_ID) if agent_dir.exists(): return False src_dir = _ASSETS_DIR / AGENTFX_AGENT_ID if not src_dir.is_dir(): logger.error( "Missing seed assets for agent '%s' (expected at %s)", AGENTFX_AGENT_ID, src_dir, ) return False agent_dir.mkdir(parents=True, exist_ok=True) for filename in _SEED_FILES: src = src_dir / filename if src.exists(): (agent_dir / filename).write_bytes(src.read_bytes()) logger.info("Seeded built-in agent '%s'", AGENTFX_AGENT_ID) return True except Exception: logger.exception("Failed to seed built-in agent '%s'", AGENTFX_AGENT_ID) return False def _ensure_task_report_import_skill() -> bool: """Seed the task-report-import skill into ``skills/public/`` when missing.""" try: src_dir = _ASSETS_DIR / "skills" / TASK_REPORT_IMPORT_SKILL_NAME if not (src_dir / "SKILL.md").exists(): logger.error( "Missing seed assets for skill '%s' (expected at %s)", TASK_REPORT_IMPORT_SKILL_NAME, src_dir, ) return False from deerflow.skills.storage import get_or_new_skill_storage public_dir = Path(get_or_new_skill_storage().get_skills_root_path()) / "public" skill_dir = public_dir / TASK_REPORT_IMPORT_SKILL_NAME if skill_dir.exists(): return False # 技能带 scripts/ 子目录,整目录复制(字节级,保留原样)。 shutil.copytree(src_dir, skill_dir) logger.info("Seeded built-in skill '%s'", TASK_REPORT_IMPORT_SKILL_NAME) return True except Exception: logger.exception("Failed to seed built-in skill '%s'", TASK_REPORT_IMPORT_SKILL_NAME) return False def ensure_agentfx_agent() -> bool: """Seed the agentfx analyst agent + its import skill (idempotent, non-fatal). Returns True if the agent directory was just created. """ _ensure_task_report_import_skill() return _ensure_agentfx_agent_dir() __all__ = ["AGENTFX_AGENT_ID", "TASK_REPORT_IMPORT_SKILL_NAME", "ensure_agentfx_agent"]