"""
内置技能 - 图像识别

图像分析和识别（使用简化实现）
"""

import base64
import io
from typing import Any, Dict, Optional
from ..managers.skill_manager import BaseSkill, SkillMetadata, SkillConfig, SkillResult


class ImageAnalysisSkill(BaseSkill):
    """图像分析技能"""

    metadata = SkillMetadata(
        name="image-analysis",
        version="1.0.0",
        description="图像分析和元数据提取",
        author="MAgentClaw Team",
        email="team@maagentclaw.com",
        tags=["image", "analysis", "metadata", "utility"],
        category="utility"
    )

    config = SkillConfig(
        enabled=True,
        timeout=30
    )

    async def execute(
        self,
        image_data: str,
        operation: str = "analyze"
    ) -> SkillResult:
        """执行图像分析"""
        try:
            if operation == "analyze":
                return await self._analyze_image(image_data)
            elif operation == "metadata":
                return await self._extract_metadata(image_data)
            else:
                return SkillResult(
                    success=False,
                    error=f"Unknown operation: {operation}"
                )

        except Exception as e:
            return SkillResult(
                success=False,
                error=str(e)
            )

    async def _analyze_image(self, image_data: str) -> SkillResult:
        """分析图像"""
        try:
            if image_data.startswith("data:"):
                header, image_data = image_data.split(",", 1)

            image_bytes = base64.b64decode(image_data)

            return SkillResult(
                success=True,
                data={
                    "size_bytes": len(image_bytes),
                    "size_kb": round(len(image_bytes) / 1024, 2),
                    "analysis": {
                        "format": self._detect_format(image_bytes),
                        "has_alpha": self._check_alpha(image_bytes),
                        "dimensions": "unknown (requires PIL)"
                    },
                    "note": "Install PIL for full analysis"
                }
            )

        except Exception as e:
            return SkillResult(
                success=False,
                error=f"Failed to analyze image: {str(e)}"
            )

    async def _extract_metadata(self, image_data: str) -> SkillResult:
        """提取元数据"""
        return SkillResult(
            success=True,
            data={
                "metadata": {
                    "format": "unknown",
                    "dimensions": "unknown",
                    "color_mode": "unknown",
                    "note": "Install PIL for metadata extraction"
                }
            }
        )

    def _detect_format(self, data: bytes) -> str:
        """检测图像格式"""
        if data.startswith(b'\x89PNG'):
            return "PNG"
        elif data.startswith(b'\xff\xd8\xff'):
            return "JPEG"
        elif data.startswith(b'GIF87a') or data.startswith(b'GIF89a'):
            return "GIF"
        elif data.startswith(b'RIFF') and data[8:12] == b'WEBP':
            return "WEBP"
        elif data.startswith(b'BM'):
            return "BMP"
        return "unknown"

    def _check_alpha(self, data: bytes) -> bool:
        """检查是否支持透明度"""
        if data.startswith(b'\x89PNG'):
            return True
        return False


skill = ImageAnalysisSkill()
