#!/bin/bash
set -e

# 1. 创建 OpenClaw 所需的目录结构
echo "创建 OpenClaw 目录..."
mkdir -p /root/.openclaw/agents/main/sessions
mkdir -p /root/.openclaw/credentials
mkdir -p /root/.openclaw/sessions

# 2. 从 Hugging Face Dataset 恢复数据（如果存在）
echo "尝试从 HF Dataset 恢复数据..."
python3 /app/sync.py restore

# 3. 处理 API 基础地址（确保格式正确）
CLEAN_BASE=$(echo "$OPENAI_API_BASE" | sed "s|/chat/completions||g" | sed "s|/v1/|/v1|g" | sed "s|/v1$|/v1|g")

# 4. 根据环境变量动态生成 openclaw.json 配置文件
echo "生成 OpenClaw 配置文件..."
cat > /root/.openclaw/openclaw.json <<EOF
{
  "models": {
    "providers": {
      "nvidia": {
        "baseUrl": "$CLEAN_BASE",
        "apiKey": "$OPENAI_API_KEY",
        "api": "openai-completions",
        "models": [{ "id": "$MODEL", "name": "$MODEL", "contextWindow": 128000 }]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "nvidia/$MODEL"
      }
    }
  },
  "commands": {
    "restart": true
  },
  "gateway": {
    "mode": "local",
    "bind": "lan",
    "port": $PORT,
    "trustedProxies": ["0.0.0.0/0"],
    "auth": {
      "mode": "token",
      "token": "$OPENCLAW_GATEWAY_PASSWORD"
    },
    "controlUi": {
      "enabled": true,
      "allowInsecureAuth": true,
      "dangerouslyDisableDeviceAuth": true,
      "dangerouslyAllowHostHeaderOriginFallback": true
    }
  }
}
EOF

echo "配置文件生成完成。"

# 5. 在后台启动定时备份任务（每小时备份一次）
(
  while true; do
    sleep 3600
    echo "执行定时数据备份..."
    python3 /app/sync.py backup
  done
) &

# 6. 运行 OpenClaw （首次运行会自动修复依赖并启动网关）
echo "启动 OpenClaw Gateway..."
exec openclaw gateway run --port $PORT