ai-proj-helper/init.sh

#!/bin/bash
# ai-proj-helper 初始化脚本
# 配置 MCP 服务器 + 生成 marketplace.json

set -e

SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
MCP_CONFIG="$HOME/.claude/.mcp.json"
MCP_BRIDGE_DIR="$HOME/coding/qiudl/new-ai-proj/mcp-task-bridge"
CONFIG_FILE="$SCRIPT_DIR/claude-config.yaml"

# Default values
MODE=""
ENV=""
TOKEN=""

# ── Parse command line arguments ──────────────────────────────────────
while [[ $# -gt 0 ]]; do
    case $1 in
        --mode)  MODE="$2";  shift 2 ;;
        --env)   ENV="$2";   shift 2 ;;
        --token) TOKEN="$2"; shift 2 ;;
        -h|--help)
            echo "Usage: ./init.sh [--mode stdio|sse] [--env dev|staging|prod] [--token PAT_TOKEN]"
            echo ""
            echo "Options:"
            echo "  --mode   MCP connection mode: stdio (local) or sse (remote)"
            echo "  --env    Environment: dev, staging, or prod"
            echo "  --token  Personal Access Token for ai-proj API"
            echo ""
            echo "Without arguments, runs in interactive mode."
            exit 0
            ;;
        *) echo "Unknown option: $1"; exit 1 ;;
    esac
done

# ── Read config defaults ─────────────────────────────────────────────
read_config_value() {
    local key="$1"
    local default="$2"
    if [ -f "$CONFIG_FILE" ]; then
        local val
        val=$(grep "^  ${key}:" "$CONFIG_FILE" 2>/dev/null | head -1 | sed 's/^[^:]*: *//' | sed 's/ *#.*//' | tr -d '"' | tr -d "'")
        if [ -n "$val" ]; then
            echo "$val"
            return
        fi
    fi
    echo "$default"
}

CONFIG_MODE=$(read_config_value "mode" "stdio")
CONFIG_ENV=$(read_config_value "env" "prod")

# ── Interactive mode selection ────────────────────────────────────────
if [ -z "$MODE" ]; then
    echo "┌─────────────────────────────────────┐"
    echo "│   ai-proj-helper 初始化             │"
    echo "└─────────────────────────────────────┘"
    echo ""
    echo "MCP 连接模式:"
    echo "  1) stdio  - 本地进程 (需要 mcp-task-bridge)"
    echo "  2) sse    - 远程 SSE 连接"
    echo ""
    read -p "选择模式 [1/2] (default: $([ "$CONFIG_MODE" = "sse" ] && echo "2" || echo "1")): " mode_choice
    case "$mode_choice" in
        2|sse)  MODE="sse" ;;
        *)      MODE="stdio" ;;
    esac
fi

# ── Interactive environment selection ─────────────────────────────────
if [ -z "$ENV" ]; then
    echo ""
    echo "环境:"
    echo "  1) dev     - http://localhost:8080"
    echo "  2) staging - https://ai-staging.pipexerp.com"
    echo "  3) prod    - https://ai.pipexerp.com"
    echo ""
    default_num=3
    [ "$CONFIG_ENV" = "dev" ] && default_num=1
    [ "$CONFIG_ENV" = "staging" ] && default_num=2
    read -p "选择环境 [1/2/3] (default: $default_num): " env_choice
    case "$env_choice" in
        1|dev)     ENV="dev" ;;
        2|staging) ENV="staging" ;;
        *)         ENV="prod" ;;
    esac
fi

# ── Resolve API base URL ─────────────────────────────────────────────
case "$ENV" in
    dev)     API_BASE="http://localhost:8080/api/v1" ;;
    staging) API_BASE="https://ai-staging.pipexerp.com/api/v1" ;;
    prod)    API_BASE="https://ai.pipexerp.com/api/v1" ;;
esac

# ── Token input ───────────────────────────────────────────────────────
if [ -z "$TOKEN" ]; then
    echo ""
    echo "请输入 AI-Proj Personal Access Token (PAT):"
    echo "  获取方式: 登录 AI-Proj → 设置 → API Tokens → 创建"
    echo ""
    read -sp "Token: " TOKEN
    echo ""
fi

if [ -z "$TOKEN" ]; then
    echo "❌ Token 不能为空"
    exit 1
fi

echo ""
echo "配置信息:"
echo "  模式: $MODE"
echo "  环境: $ENV ($API_BASE)"
echo ""

# ── stdio mode: ensure mcp-task-bridge ────────────────────────────────
if [ "$MODE" = "stdio" ]; then
    if [ ! -d "$MCP_BRIDGE_DIR" ]; then
        echo "📦 mcp-task-bridge 未找到，正在克隆..."
        git clone https://gitea.pipexerp.com/pipexerp/mcp-task-bridge.git "$MCP_BRIDGE_DIR"
    fi

    if [ ! -f "$MCP_BRIDGE_DIR/dist/index.js" ]; then
        echo "🔨 构建 mcp-task-bridge..."
        cd "$MCP_BRIDGE_DIR"
        npm install
        npm run build
        cd "$SCRIPT_DIR"
    fi

    BRIDGE_ENTRY="$MCP_BRIDGE_DIR/dist/index.js"

    # Generate .mcp.json for stdio mode
    mkdir -p "$(dirname "$MCP_CONFIG")"
    cat > "$MCP_CONFIG" << EOF
{
  "mcpServers": {
    "ai-proj": {
      "command": "node",
      "args": ["$BRIDGE_ENTRY"],
      "env": {
        "NODE_ENV": "production",
        "TASK_API_BASE": "$API_BASE",
        "TASK_API_TOKEN": "$TOKEN",
        "MCP_SERVER_NAME": "ai-proj"
      }
    }
  }
}
EOF
    echo "✅ 已生成 $MCP_CONFIG (stdio 模式)"

elif [ "$MODE" = "sse" ]; then
    # Generate .mcp.json for SSE mode
    SSE_URL="${API_BASE%/api/v1}/mcp/sse"
    mkdir -p "$(dirname "$MCP_CONFIG")"
    cat > "$MCP_CONFIG" << EOF
{
  "mcpServers": {
    "ai-proj": {
      "type": "sse",
      "url": "$SSE_URL",
      "headers": {
        "Authorization": "Bearer $TOKEN"
      }
    }
  }
}
EOF
    echo "✅ 已生成 $MCP_CONFIG (SSE 模式)"
fi

# ── Generate marketplace.json ─────────────────────────────────────────
echo ""
echo "🔄 生成 marketplace.json..."
cd "$SCRIPT_DIR"
python3 generate-marketplace.py

echo ""
echo "┌─────────────────────────────────────┐"
echo "│   ✅ 初始化完成！                   │"
echo "└─────────────────────────────────────┘"
echo ""
echo "下次启动 Claude Code 即可使用 MCP 工具。"
echo "如需更新技能配置，编辑 claude-config.yaml 后重新运行 ./init.sh"