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新增双核心 skill（深度集成 DesireCore Hatch/Volta + HTTP API + Socket.IO）： - python-runtime v1.0.1：Python 运行时管理 · 四级降级：HTTP API → Hatch CLI 绝对路径 → 系统包管理器 → pyenv · references：hatch-desirecore / pyenv-fallback / virtualenv / troubleshooting · scripts/probe-python.sh：输出 JSON 快照供 Claude 解析决策 - nodejs-runtime v1.0.1：Node.js 运行时管理 · 四级降级：HTTP API → Volta CLI → 系统包管理器/NodeSource → nvm/fnm · references：volta-desirecore / nvm-fallback / package-managers / troubleshooting · scripts/probe-node.sh：输出 JSON 快照（含 volta_tools / package_json_volta 等） environment-setup → dev-environment-setup v2.0.1（重命名 + 重写为 router）： - 从 1380 行手册瘦身为 ~150 行索引 - 仅负责容器（Docker/Podman）/ WSL2 / 办公依赖速查 / 系统工具 - references/desirecore-runtime.md 沉淀 Hatch/Volta 路径表 + HTTP API 速查 + Socket.IO 事件契约，作为两个核心 skill 的共享底座 - references/decision-tree.md 定义四级降级决策树 - scripts/probe.sh + probe.ps1 系统级 JSON 探测 三个 SKILL.md 的 L0 改为场景驱动结构（何时使用 / 何时不要用 / 怎么做）， 让 AI 凭名字与 L0 即可判断匹配场景。 注册更新： - builtin-skills.json：新增 python-runtime / nodejs-runtime / dev-environment-setup （原 environment-setup 移除），按字母序，共 21 个 skill - manifest.json：totalSkills 19→21，lastUpdated 2026-05-02 下游同步： - docx / pdf / xlsx / pptx 中的环境引用从 environment-setup 拆分为 python-runtime / nodejs-runtime / dev-environment-setup 三向指引 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
104 lines
3.6 KiB
Bash
Executable File
104 lines
3.6 KiB
Bash
Executable File
#!/usr/bin/env bash
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# python-runtime probe: 输出 Python 环境快照（JSON）
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# 协议：见 ../../dev-environment-setup/references/probe-snapshot.md
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set +e
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detect_tool() {
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local name="$1"
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local path
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path=$(command -v "$name" 2>/dev/null)
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if [ -z "$path" ]; then
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printf '{"path":"","version":""}'
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return
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fi
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local version
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version=$("$name" --version 2>&1 | head -n1 | grep -oE '[0-9]+\.[0-9]+(\.[0-9]+)?' | head -n1)
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printf '{"path":"%s","version":"%s"}' "$path" "${version:-}"
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}
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# ── 平台 ────────────────────────────────
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case "$(uname -s)" in
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Darwin) PLATFORM="darwin" ;;
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Linux) PLATFORM="linux" ;;
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*) PLATFORM="other" ;;
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esac
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ARCH=$(uname -m)
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case "$ARCH" in
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arm64|aarch64) ARCH="arm64" ;;
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x86_64|amd64) ARCH="x64" ;;
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esac
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# ── DesireCore API ──────────────────────
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DESIRECORE_API=""
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PORT_FILE="$HOME/.desirecore/agent-service.port"
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if [ -r "$PORT_FILE" ]; then
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PORT=$(cat "$PORT_FILE" 2>/dev/null | tr -d '[:space:]')
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if [ -n "$PORT" ]; then
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if curl -sk --max-time 0.5 "https://127.0.0.1:${PORT}/api/runtime/environment" >/dev/null 2>&1; then
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DESIRECORE_API="https://127.0.0.1:${PORT}"
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fi
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fi
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fi
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# ── 系统 Python / pip ───────────────────
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SYS_PY=$(detect_tool python3)
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[ "$(echo "$SYS_PY" | grep -c '"path":""')" = "1" ] && SYS_PY=$(detect_tool python)
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SYS_PIP=$(detect_tool pip3)
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[ "$(echo "$SYS_PIP" | grep -c '"path":""')" = "1" ] && SYS_PIP=$(detect_tool pip)
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# ── DesireCore Hatch ────────────────────
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HATCH_BIN="$HOME/.desirecore/runtime/hatch/hatch"
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HATCH_PATH=""
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HATCH_VERSION=""
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if [ -x "$HATCH_BIN" ]; then
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HATCH_PATH="$HATCH_BIN"
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HATCH_VERSION=$("$HATCH_BIN" --version 2>/dev/null | grep -oE '[0-9]+\.[0-9]+(\.[0-9]+)?' | head -n1)
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fi
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# Hatch 已安装的 Python 版本（直接读 local/ 目录，避免依赖 hatch 命令）
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HATCH_LOCAL="$HOME/.desirecore/runtime/hatch/local"
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HATCH_VERSIONS="[]"
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if [ -d "$HATCH_LOCAL" ]; then
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versions=$(ls -1 "$HATCH_LOCAL" 2>/dev/null | sort -V | tr '\n' ',' | sed 's/,$//')
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if [ -n "$versions" ]; then
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HATCH_VERSIONS="[\"$(echo "$versions" | sed 's/,/","/g')\"]"
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fi
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fi
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# ── 虚拟环境 ────────────────────────────
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ACTIVE_VENV="${VIRTUAL_ENV:-}"
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# ── PEP 668 ────────────────────────────
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PEP668="false"
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for marker in /usr/lib/python*/EXTERNALLY-MANAGED /usr/lib/python3/EXTERNALLY-MANAGED /usr/lib/python3*/EXTERNALLY-MANAGED; do
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if [ -e "$marker" ]; then
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PEP668="true"
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break
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fi
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done
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# ── 社区方案 ────────────────────────────
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PYENV_PATH=$(command -v pyenv 2>/dev/null)
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[ -z "$PYENV_PATH" ] && [ -d "$HOME/.pyenv/bin" ] && PYENV_PATH="$HOME/.pyenv/bin/pyenv"
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CONDA_PATH=$(command -v conda 2>/dev/null)
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[ -z "$CONDA_PATH" ] && [ -x "$HOME/miniconda3/bin/conda" ] && CONDA_PATH="$HOME/miniconda3/bin/conda"
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# ── 输出 JSON ───────────────────────────
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cat <<EOF
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{
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"platform": "${PLATFORM}",
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"arch": "${ARCH}",
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"desirecore_api": "${DESIRECORE_API}",
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"system_python": ${SYS_PY},
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"system_pip": ${SYS_PIP},
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"hatch_path": "${HATCH_PATH}",
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"hatch_version": "${HATCH_VERSION}",
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"hatch_versions": ${HATCH_VERSIONS},
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"active_venv": "${ACTIVE_VENV}",
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"pep668": ${PEP668},
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"pyenv_path": "${PYENV_PATH:-}",
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"conda_path": "${CONDA_PATH:-}"
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}
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EOF
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