JOJO
a2cf547400
- 新增 modules/i18n.py：tr() + 进程级语言缓存 + modules/i18n_messages/ 域文案包自动聚合 - 新增 29 个域文案包，共 1153 条双语 key；90+ 源文件 1146 处用户可见消息 tr 化 - ui_locale 存入 personalization.json（用户级共享），前后端双向同步 - 前端匹配点双语兼容（history/shared/ChatArea/taskPolling/upload 等正则） - 修复语言判等陷阱：审批等待加稳定 code 字段；conversation.py 不存在判等改双语 helper - 边界：日志/prompt 注入/子智能体工具回填/容器内嵌脚本不迁移
152 lines
6.6 KiB
Python
152 lines
6.6 KiB
Python
"""Workspace skill 读取与 /api/skills 接口。"""
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from __future__ import annotations
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from server.tasks import tasks_bp
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import re
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from pathlib import Path
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from typing import Dict, Any, List
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from flask import request, jsonify
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from flask import session
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from server.auth_helpers import api_login_required, get_current_username
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from server.context import get_user_resources
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from server.utils_common import debug_log
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from config import WORKSPACE_SKILLS_DIRNAME
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from modules.skills_manager import wait_skill_file_ready
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from modules.i18n import tr
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SKILL_FRONTMATTER_RE = re.compile(r"^---\s*\n(?P<body>.*?)\n---\s*\n?", re.S)
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SKILL_FIELD_RE = re.compile(r"^(?P<key>name|description)\s*:\s*(?P<value>.*)$")
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def _parse_skill_metadata(content: str, fallback_name: str) -> Dict[str, str]:
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metadata = {"name": fallback_name, "description": ""}
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match = SKILL_FRONTMATTER_RE.match(content or "")
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if not match:
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return metadata
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for raw_line in match.group("body").splitlines():
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field = SKILL_FIELD_RE.match(raw_line.strip())
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if not field:
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continue
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key = field.group("key")
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value = field.group("value").strip().strip('"').strip("'")
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metadata[key] = value
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metadata["name"] = metadata.get("name") or fallback_name
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return metadata
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def _workspace_project_root(workspace) -> Path:
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"""工作区根目录（已 resolve 的绝对路径）。"""
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return Path(workspace.project_path).expanduser().resolve()
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def _workspace_skills_dir(workspace) -> Path:
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return _workspace_project_root(workspace) / WORKSPACE_SKILLS_DIRNAME
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def _rel_skill_path(skill_file: Path, workspace) -> str:
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"""把 skill 文件的绝对路径转成相对工作区根的路径（如 `.astrion/skills/xxx/SKILL.md`）。
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前端 / 菜单插入、对话历史、任务快照均使用该相对路径，避免暴露服务器绝对路径。
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"""
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return str(skill_file.relative_to(_workspace_project_root(workspace)).as_posix())
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def _resolve_workspace_skill_path(workspace, raw_path: str) -> Path:
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try:
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skills_dir = _workspace_skills_dir(workspace)
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except Exception as exc:
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debug_log(f"[SkillsAPI] resolve skill cannot compute skills_dir: {exc}")
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raise ValueError(tr("tasks.skill_dir_unavailable", error=exc)) from exc
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debug_log(f"[SkillsAPI] resolve skill skills_dir={skills_dir!r} raw_path={raw_path!r}")
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try:
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target = Path(str(raw_path or "")).expanduser()
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if not target.is_absolute():
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target = Path(workspace.project_path).expanduser().resolve() / target
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target = target.resolve()
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except Exception as exc:
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debug_log(f"[SkillsAPI] resolve skill cannot resolve path: {exc}")
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raise ValueError(tr("tasks.skill_path_resolve_failed", error=exc)) from exc
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debug_log(f"[SkillsAPI] resolve skill resolved_target={target!r} name={target.name!r}")
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if target.name != "SKILL.md":
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raise ValueError(tr("tasks.skill_path_not_skillmd", name=target.name))
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try:
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target.relative_to(skills_dir)
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except ValueError as exc:
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debug_log(f"[SkillsAPI] resolve skill path outside skills_dir: target={target!r} skills_dir={skills_dir!r}")
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raise ValueError(tr("tasks.skill_path_outside")) from exc
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# 工作区 skills 目录可能被并发的全量同步（rmtree+重建）短暂清空，
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# 直接 is_file() 一次失败会把瞬时窗口误判为「skill 文件不存在」拒绝任务，
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# 这里改为有界等待重试，等过同步窗口再下结论。
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if not wait_skill_file_ready(target, skills_dir):
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debug_log(f"[SkillsAPI] resolve skill file not found (after wait): {target!r}")
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raise ValueError(tr("tasks.skill_not_found"))
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return target
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def _list_workspace_skills(workspace) -> List[Dict[str, str]]:
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skills_dir = _workspace_skills_dir(workspace)
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if not skills_dir.is_dir():
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return []
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result: List[Dict[str, str]] = []
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for skill_file in sorted(skills_dir.glob("*/SKILL.md"), key=lambda p: p.parent.name.lower()):
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try:
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content = skill_file.read_text(encoding="utf-8")
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except Exception:
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continue
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metadata = _parse_skill_metadata(content, skill_file.parent.name)
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result.append({
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"name": metadata.get("name") or skill_file.parent.name,
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"description": metadata.get("description") or "",
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"path": _rel_skill_path(skill_file, workspace),
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})
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return result
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def _build_skill_context_messages(workspace, raw_refs: Any) -> List[Dict[str, str]]:
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if not isinstance(raw_refs, list):
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debug_log(f"[SkillsAPI] build_skill_context raw_refs is not list: {type(raw_refs).__name__}")
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return []
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messages: List[Dict[str, str]] = []
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seen_paths = set()
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for idx, item in enumerate(raw_refs[:10]):
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if not isinstance(item, dict):
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debug_log(f"[SkillsAPI] build_skill_context item[{idx}] not dict: {item!r}")
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continue
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raw_path = str(item.get("path") or "").strip()
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debug_log(f"[SkillsAPI] build_skill_context item[{idx}] raw_path={raw_path!r} name={item.get('name')!r}")
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if not raw_path:
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continue
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skill_file = _resolve_workspace_skill_path(workspace, raw_path)
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path_key = _rel_skill_path(skill_file, workspace)
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if path_key in seen_paths:
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debug_log(f"[SkillsAPI] build_skill_context duplicate path skipped: {path_key}")
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continue
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seen_paths.add(path_key)
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try:
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content = skill_file.read_text(encoding="utf-8")
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except UnicodeDecodeError as exc:
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raise ValueError(tr("tasks.skill_encoding_error", name=skill_file.name)) from exc
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except OSError as exc:
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raise ValueError(tr("tasks.skill_read_failed", error=exc)) from exc
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metadata = _parse_skill_metadata(content, skill_file.parent.name)
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messages.append({
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"name": metadata.get("name") or skill_file.parent.name,
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"path": path_key,
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"content": content,
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})
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return messages
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@tasks_bp.route("/api/skills", methods=["GET"])
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@api_login_required
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def list_skills_api():
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username = get_current_username()
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workspace_id = session.get("workspace_id") or "default"
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try:
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_terminal, workspace = get_user_resources(username, workspace_id)
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if not workspace:
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return jsonify({"success": False, "error": tr("tasks.workspace_unavailable")}), 400
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return jsonify({
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"success": True,
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"skills": _list_workspace_skills(workspace),
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})
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except Exception as exc:
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debug_log(f"[SkillsAPI] 列出技能失败: {exc}")
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return jsonify({"success": False, "error": str(exc)}), 500
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