wenjunduan/rlues/athena-migrate

# 检测当前版本
version=$(grep -oP 'version:\s*"\K[\d.]+' .ai_state/_index.md || echo "unknown")
echo "Current: $version"
 
# 强制备份
backup_dir=".ai_state.backup-$(date +%Y%m%d-%H%M%S)"
cp -r .ai_state "$backup_dir"
echo "✓ 备份: $backup_dir"

mkdir -p .ai_state/sprints
mkdir -p .ai_state/roadmap
mkdir -p .ai_state/architecture
mkdir -p .ai_state/compound

# v9.6.2 details/ → v9.6.4 sprints/legacy-{date}-v962-merge/
if [ -d .ai_state/details ]; then
  legacy_slug="$(date +%Y-%m-%d)-legacy-v962-merge"
  mkdir -p ".ai_state/sprints/${legacy_slug}/reviews"
 
  # 文件搬迁 (保留全部历史)
  [ -f .ai_state/details/design.md ] && mv .ai_state/details/design.md ".ai_state/sprints/${legacy_slug}/"
 
  # reviews/sprint-N.md → reviews/passN.md (改名)
  for f in .ai_state/details/reviews/sprint-*.md; do
    [ -f "$f" ] || continue
    N=$(basename "$f" | sed 's/sprint-\(.*\)\.md/\1/')
    mv "$f" ".ai_state/sprints/${legacy_slug}/reviews/pass${N}.md"
  done
 
  # cleanup-pass-N.md → cleanup-pass.md (合并若多个)
  cleanup_files=(.ai_state/details/cleanup-pass-*.md)
  if [ ${#cleanup_files[@]} -gt 0 ]; then
    cat .ai_state/details/cleanup-pass-*.md > ".ai_state/sprints/${legacy_slug}/cleanup-pass.md" 2>/dev/null
  fi
 
  # 其他文件 (runtime-events.md / proposals.md 等) 整体搬
  mv .ai_state/details/* ".ai_state/sprints/${legacy_slug}/" 2>/dev/null
  rmdir .ai_state/details
  echo "✓ details/ → sprints/${legacy_slug}/"
fi

检测到 v9.6.2 → v9.6.4 迁移. lessons.md ($(wc -l < .ai_state/lessons.md) 行) 处理选项:
 
[1] 整体保留为单文件:
    → compound/$(date +%Y-%m-%d)-learning-legacy-v962-migration.md
    (推荐: 保留全部历史, 但不分类 doc_type)
 
[2] 手工逐段拆分:
    → 我引导你, 每段你分类为 learning/trick/decision/explore
    (推荐: 分类后好搜, 但花时间)
 
[3] 全部丢弃:
    → 删除 lessons.md, compound/ 从空开始
    (注意: 历史经验丢失. 仅当 lessons.md 全是过时垃圾时选)
 
选 [1/2/3]:

today=$(date +%Y-%m-%d)
mv .ai_state/lessons.md ".ai_state/compound/${today}-learning-legacy-v962-migration.md"
# 在文件头加 frontmatter (没有则补)

段落 1: "useEffect 依赖项漏掉导致无限循环..."
  分类: [1=learning, 2=trick, 3=decision, 4=explore, s=skip, q=quit]
> 1
  slug (kebab-case): useeffect-deps-infinite-loop
 
✓ 写入 compound/{date}-learning-useeffect-deps-infinite-loop.md (从 templates/learning.md)

echo "⚠️ 确认删除 lessons.md? 备份在 ${backup_dir}/lessons.md 仍可恢复. (y/N)"
read confirm
[ "$confirm" = "y" ] && rm .ai_state/lessons.md

# 用 python 脚本 (或 yq) 升级 frontmatter
# 新增字段: current_sprint_slug / current_roadmap_slug / counts.compound / next_action / 等
# 详见 ~/.codex/skills/pace/templates/_index.md

rm -f .ai_state/lessons.md      # 已迁移
# details/ 已在 Step 3 移除
echo "✓ 旧文件清理"

# 跑 index-updater 重新扫一遍 (Codex 端是 Python hook)
python3 ~/.codex/hooks/index-updater.py
 
# 检查新结构
ls .ai_state/sprints/
ls .ai_state/compound/
 
echo "✓ 迁移完成"
echo "  备份: ${backup_dir}"
echo "  如需回滚: rm -rf .ai_state && mv ${backup_dir} .ai_state"

# 1. 覆盖配置 (athena-setup 同款步骤, 见 athena-setup skill)
#    - ~/.codex/hooks.json + hooks/*.py (新增 evidence-collector / compact-snapshot / compact-restore / subagent-tracker)
#    - ~/.codex/AGENTS.md (16 条铁律)
#    - ~/.codex/skills/ (pace 拆分 + 7 个 entry skill 全为 SKILL.md)
# 2. 删除 deprecated prompts/
rm -rf ~/.codex/prompts
# 3. .ai_state 数据结构不变, 无需迁移

# 备份目录就是回滚点
rm -rf .ai_state
mv .ai_state.backup-{timestamp} .ai_state
echo "✓ 已回滚"