"""SEO优化服务"""

from dataclasses import dataclass
from typing import Optional

from app.services.distribution.platform_rules import PLATFORM_RULES


@dataclass
class OptimizationResult:
    """SEO优化结果"""
    optimized_content: str
    density: float
    suggestions: list
    tips: list


class SEOOptimizer:
    """SEO优化器"""

    def get_keyword_density(self, content: str, keyword: str) -> float:
        """计算关键词密度

        Args:
            content: 内容文本
            keyword: 关键词

        Returns:
            关键词密度百分比
        """
        if not keyword or not content:
            return 0.0

        content_len = len(content)
        keyword_count = content.count(keyword)

        # 密度 = (关键词字符数 * 出现次数) / 总字符数 * 100
        density = (len(keyword) * keyword_count) / content_len * 100
        return round(density, 2)

    def optimize(
        self,
        content: str,
        title: str,
        platform: str,
        keyword: str = ""
    ) -> OptimizationResult:
        """优化内容SEO

        Args:
            content: 内容文本
            title: 标题
            platform: 平台标识
            keyword: 关键词

        Returns:
            OptimizationResult: 优化结果
        """
        rules = PLATFORM_RULES.get(platform, {})
        seo_rules = rules.get("seo_rules", {})

        suggestions = []
        tips = []
        optimized = content

        # 获取推荐密度配置
        density_config = seo_rules.get("keyword_density", {"min": 1, "max": 3, "recommended": 2})
        min_density = density_config["min"]
        max_density = density_config["max"]
        recommended = density_config["recommended"]

        # 关键词位置
        keyword_positions = seo_rules.get("keyword_position", ["title", "first_para"])

        # 计算当前密度
        if keyword:
            current_density = self.get_keyword_density(content, keyword)

            # 密度调整建议
            if current_density < min_density:
                suggestions.append(
                    f"关键词密度 {current_density}% 低于最低要求 {min_density}%，建议增加关键词出现次数"
                )
            elif current_density > max_density:
                suggestions.append(
                    f"关键词密度 {current_density}% 超过最高限制 {max_density}%，建议减少关键词堆砌"
                )
            else:
                suggestions.append(f"关键词密度 {current_density}% 在推荐范围内")

            # 关键词位置检查
            keyword_in_title = keyword in title if title else False
            keyword_in_first = keyword in content[:100] if content else False

            if "title" in keyword_positions and not keyword_in_title:
                suggestions.append(f"建议在标题中包含关键词「{keyword}」")

            if "first_para" in keyword_positions and not keyword_in_first:
                suggestions.append(f"建议在前100字中包含关键词「{keyword}」")

            tips.extend(rules.get("seo_tips", []))

            return OptimizationResult(
                optimized_content=optimized,
                density=current_density,
                suggestions=suggestions,
                tips=tips
            )
        else:
            # 无关键词时返回SEO建议
            tips.extend(rules.get("seo_tips", []))
            return OptimizationResult(
                optimized_content=optimized,
                density=0.0,
                suggestions=["请指定要优化的关键词"],
                tips=tips
            )