webnovel-writer/.claude/skills/webnovel-writer/scripts/status_reporter.py

#!/usr/bin/env python3
"""
可视化状态报告系统 (Status Reporter)

核心理念：面对 1000 个章节，作者会迷失。需要"宏观俯瞰"能力。

功能：
1. 角色活跃度分析：哪些角色太久没出场（掉线统计）
2. 伏笔深度分析：哪些坑挖得太久了（超过 20 万字未收）+ 紧急度排序
3. 爽点节奏分布：全书高潮点的分布频率（热力图）
4. 字数分布统计：各卷、各篇的字数分布
5. 人际关系图谱：好感度/仇恨度趋势
6. Strand Weave 节奏分析：Quest/Fire/Constellation 三线占比统计
7. 伏笔紧急度排序：基于三层级系统（核心/支线/装饰）的优先级计算

输出格式：
  - Markdown 报告（.webnovel/health_report.md）
  - 包含 Mermaid 图表（角色关系图、爽点热力图）

使用方式：
  # 生成完整健康报告
  python status_reporter.py --output .webnovel/health_report.md

  # 仅分析角色活跃度
  python status_reporter.py --focus characters

  # 仅分析伏笔
  python status_reporter.py --focus foreshadowing

  # 仅分析爽点节奏
  python status_reporter.py --focus pacing

  # 分析 Strand Weave 节奏
  python status_reporter.py --focus strand

报告示例：
  # 全书健康报告

  ## 📊 基本数据

  - **总章节数**: 450 章
  - **总字数**: 1,985,432 字
  - **平均章节字数**: 4,412 字
  - **创作进度**: 99.3%（目标 200万字）

  ## ⚠️ 角色掉线（3人）

  | 角色 | 最后出场 | 缺席章节 | 状态 |
  |------|---------|---------|------|
  | 李雪 | 第 350 章 | 100 章 | 🔴 严重掉线 |
  | 血煞门主 | 第 300 章 | 150 章 | 🔴 严重掉线 |
  | 天云宗宗主 | 第 400 章 | 50 章 | 🟡 轻度掉线 |

  ## ⚠️ 伏笔超时（2条）

  | 伏笔内容 | 埋设章节 | 已过章节 | 状态 |
  |---------|---------|---------|------|
  | "林家宝库铭文的秘密" | 第 200 章 | 250 章 | 🔴 严重超时 |
  | "神秘玉佩的来历" | 第 270 章 | 180 章 | 🟡 轻度超时 |

  ## 📈 爽点节奏分布

  ```
  第 1-100 章   ████████████ 优秀（1200字/爽点）
  第 101-200章  ██████████ 良好（1500字/爽点）
  第 201-300章  ████████ 良好（1600字/爽点）
  第 301-400章  ████ 偏低（2200字/爽点）⚠️
  第 401-450章  ██████ 良好（1550字/爽点）
  ```

  ## 💑 人际关系趋势

  ```mermaid
  graph LR
    主角 -->|好感度95| 李雪
    主角 -->|好感度60| 慕容雪
    主角 -->|仇恨度100| 血煞门
  ```
"""

import json
import os
import re
import sys
from pathlib import Path
from typing import Dict, List, Any, Tuple
from datetime import datetime
from collections import defaultdict

# Windows 编码兼容性修复
if sys.platform == 'win32':
    import io
    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')

class StatusReporter:
    """状态报告生成器"""

    def __init__(self, project_root: str):
        self.project_root = Path(project_root)
        self.state_file = self.project_root / ".webnovel/state.json"
        self.chapters_dir = self.project_root / "正文"

        self.state = None
        self.chapters_data = []

    def load_state(self) -> bool:
        """加载 state.json"""
        if not self.state_file.exists():
            print(f"❌ 状态文件不存在: {self.state_file}")
            return False

        with open(self.state_file, 'r', encoding='utf-8') as f:
            self.state = json.load(f)

        return True

    def scan_chapters(self):
        """扫描所有章节文件"""
        if not self.chapters_dir.exists():
            print(f"⚠️  正文目录不存在: {self.chapters_dir}")
            return

        for chapter_file in sorted(self.chapters_dir.glob("第*.md")):
            # 提取章节号
            match = re.search(r'第(\d+)章', chapter_file.name)
            if not match:
                continue

            chapter_num = int(match.group(1))

            # 读取章节内容
            with open(chapter_file, 'r', encoding='utf-8') as f:
                content = f.read()

            # 统计字数（去除 Markdown 标记）
            text = re.sub(r'```[\s\S]*?```', '', content)  # 去除代码块
            text = re.sub(r'#+ .+', '', text)  # 去除标题
            text = re.sub(r'---', '', text)  # 去除分隔线
            word_count = len(text.strip())

            # 提取出场角色（粗略：查找 [角色: XXX]）
            characters = re.findall(r'\[角色:\s*([^\]]+)\]', content)

            self.chapters_data.append({
                "chapter": chapter_num,
                "file": chapter_file,
                "word_count": word_count,
                "characters": characters
            })

    def analyze_characters(self) -> Dict:
        """分析角色活跃度"""
        if not self.state:
            return {}

        current_chapter = self.state.get("progress", {}).get("current_chapter", 0)
        entities = self.state.get("entities", {})
        characters = entities.get("characters", [])

        # 统计每个角色的最后出场章节
        character_activity = {}

        for char in characters:
            char_name = char.get("name")
            if not char_name:
                continue

            # 查找最后出场章节
            last_appearance = 0

            for ch_data in self.chapters_data:
                if char_name in ch_data.get("characters", []):
                    last_appearance = max(last_appearance, ch_data["chapter"])

            absence = current_chapter - last_appearance

            character_activity[char_name] = {
                "last_appearance": last_appearance,
                "absence": absence,
                "status": self._get_absence_status(absence)
            }

        return character_activity

    def _get_absence_status(self, absence: int) -> str:
        """判断掉线状态"""
        if absence == 0:
            return "✅ 活跃"
        elif absence < 30:
            return "🟢 正常"
        elif absence < 100:
            return "🟡 轻度掉线"
        else:
            return "🔴 严重掉线"

    def analyze_foreshadowing(self) -> List[Dict]:
        """分析伏笔深度"""
        if not self.state:
            return []

        current_chapter = self.state.get("progress", {}).get("current_chapter", 0)
        plot_threads = self.state.get("plot_threads", {})
        foreshadowing = plot_threads.get("foreshadowing", [])

        overdue = []

        for item in foreshadowing:
            if item.get("status") != "未回收":
                continue

            # 假设每个伏笔记录了"added_chapter"（埋设章节）
            # 如果没有，使用 added_at 日期估算（粗略）
            # 这里简化：假设第 1 章开始，平均每天写 1 章

            # 简化：假设伏笔按添加顺序，第 N 个伏笔大约在第 N*10 章埋下
            # 实际项目应该在伏笔记录中加入 "埋设章节号" 字段

            # 这里使用 content 中的关键词匹配（极度简化）
            content = item.get("content", "")

            # 假设伏笔平均埋设时间 = 当前章节的一半（极度粗糙估算）
            estimated_chapter = current_chapter // 2
            elapsed = current_chapter - estimated_chapter

            overdue.append({
                "content": content,
                "estimated_chapter": estimated_chapter,
                "elapsed": elapsed,
                "status": self._get_foreshadowing_status(elapsed)
            })

        return overdue

    def _get_foreshadowing_status(self, elapsed: int) -> str:
        """判断伏笔超时状态"""
        if elapsed < 50:
            return "🟢 正常"
        elif elapsed < 150:
            return "🟡 轻度超时"
        else:
            return "🔴 严重超时"

    def analyze_foreshadowing_urgency(self) -> List[Dict]:
        """
        分析伏笔紧急度（基于三层级系统）

        三层级权重：
        - 核心(Core): 权重 3.0 - 必须回收，否则剧情崩塌
        - 支线(Sub): 权重 2.0 - 应该回收，否则显得作者健忘
        - 装饰(Decor): 权重 1.0 - 可回收可不回收，仅增加真实感

        紧急度计算公式：
        urgency = (已过章节 / 目标回收章节) × 层级权重
        """
        if not self.state:
            return []

        current_chapter = self.state.get("progress", {}).get("current_chapter", 0)
        plot_threads = self.state.get("plot_threads", {})
        foreshadowing = plot_threads.get("foreshadowing", [])

        # 层级权重映射
        tier_weights = {
            "核心": 3.0,
            "core": 3.0,
            "支线": 2.0,
            "sub": 2.0,
            "装饰": 1.0,
            "decor": 1.0
        }

        urgency_list = []

        for item in foreshadowing:
            if item.get("status") == "已回收":
                continue

            content = item.get("content", "")
            tier = item.get("tier", "支线")  # 默认支线
            planted_chapter = item.get("planted_chapter", 1)
            target_chapter = item.get("target_chapter", planted_chapter + 100)

            weight = tier_weights.get(tier.lower(), 2.0)
            elapsed = current_chapter - planted_chapter
            remaining = target_chapter - current_chapter

            # 紧急度计算
            if target_chapter > planted_chapter:
                urgency = (elapsed / (target_chapter - planted_chapter)) * weight
            else:
                urgency = weight * 2  # 已超期

            urgency_list.append({
                "content": content,
                "tier": tier,
                "weight": weight,
                "planted_chapter": planted_chapter,
                "target_chapter": target_chapter,
                "elapsed": elapsed,
                "remaining": remaining,
                "urgency": round(urgency, 2),
                "status": self._get_urgency_status(urgency, remaining)
            })

        # 按紧急度排序（降序）
        return sorted(urgency_list, key=lambda x: x["urgency"], reverse=True)

    def _get_urgency_status(self, urgency: float, remaining: int) -> str:
        """判断紧急度状态"""
        if remaining < 0:
            return "🔴 已超期"
        elif urgency >= 2.0:
            return "🔴 紧急"
        elif urgency >= 1.0:
            return "🟡 警告"
        else:
            return "🟢 正常"

    def analyze_strand_weave(self) -> Dict:
        """
        分析 Strand Weave 节奏分布

        三线定义：
        - Quest（主线）: 战斗、任务、升级 - 目标 55-65%
        - Fire（感情）: 感情线、人际互动 - 目标 20-30%
        - Constellation（世界观）: 世界观展开、势力背景 - 目标 10-20%

        检查规则：
        - Quest 线连续不超过 5 章
        - Fire 线缺失不超过 10 章
        - Constellation 线缺失不超过 15 章
        """
        if not self.state:
            return {}

        strand_tracker = self.state.get("strand_tracker", {})
        history = strand_tracker.get("history", [])

        if not history:
            return {
                "has_data": False,
                "message": "暂无 Strand Weave 数据"
            }

        # 统计各线占比
        quest_count = 0
        fire_count = 0
        constellation_count = 0
        total = len(history)

        for entry in history:
            strand = entry.get("strand", "").lower()
            if strand in ["quest", "主线", "战斗", "任务"]:
                quest_count += 1
            elif strand in ["fire", "感情", "感情线", "互动"]:
                fire_count += 1
            elif strand in ["constellation", "世界观", "背景", "势力"]:
                constellation_count += 1

        # 计算占比
        quest_ratio = (quest_count / total * 100) if total > 0 else 0
        fire_ratio = (fire_count / total * 100) if total > 0 else 0
        constellation_ratio = (constellation_count / total * 100) if total > 0 else 0

        # 检查违规
        violations = []

        # 检查 Quest 连续超过 5 章
        quest_streak = 0
        max_quest_streak = 0
        for entry in history:
            strand = entry.get("strand", "").lower()
            if strand in ["quest", "主线", "战斗", "任务"]:
                quest_streak += 1
                max_quest_streak = max(max_quest_streak, quest_streak)
            else:
                quest_streak = 0

        if max_quest_streak > 5:
            violations.append(f"Quest 线连续 {max_quest_streak} 章（超过 5 章限制）")

        # 检查 Fire 缺失超过 10 章
        fire_gap = 0
        max_fire_gap = 0
        for entry in history:
            strand = entry.get("strand", "").lower()
            if strand in ["fire", "感情", "感情线", "互动"]:
                max_fire_gap = max(max_fire_gap, fire_gap)
                fire_gap = 0
            else:
                fire_gap += 1
        max_fire_gap = max(max_fire_gap, fire_gap)

        if max_fire_gap > 10:
            violations.append(f"Fire 线缺失 {max_fire_gap} 章（超过 10 章限制）")

        # 检查 Constellation 缺失超过 15 章
        const_gap = 0
        max_const_gap = 0
        for entry in history:
            strand = entry.get("strand", "").lower()
            if strand in ["constellation", "世界观", "背景", "势力"]:
                max_const_gap = max(max_const_gap, const_gap)
                const_gap = 0
            else:
                const_gap += 1
        max_const_gap = max(max_const_gap, const_gap)

        if max_const_gap > 15:
            violations.append(f"Constellation 线缺失 {max_const_gap} 章（超过 15 章限制）")

        # 检查占比是否在合理范围
        if quest_ratio < 55:
            violations.append(f"Quest 占比 {quest_ratio:.1f}% 偏低（目标 55-65%）")
        elif quest_ratio > 65:
            violations.append(f"Quest 占比 {quest_ratio:.1f}% 偏高（目标 55-65%）")

        if fire_ratio < 20:
            violations.append(f"Fire 占比 {fire_ratio:.1f}% 偏低（目标 20-30%）")
        elif fire_ratio > 30:
            violations.append(f"Fire 占比 {fire_ratio:.1f}% 偏高（目标 20-30%）")

        if constellation_ratio < 10:
            violations.append(f"Constellation 占比 {constellation_ratio:.1f}% 偏低（目标 10-20%）")
        elif constellation_ratio > 20:
            violations.append(f"Constellation 占比 {constellation_ratio:.1f}% 偏高（目标 10-20%）")

        return {
            "has_data": True,
            "total_chapters": total,
            "quest": {"count": quest_count, "ratio": quest_ratio},
            "fire": {"count": fire_count, "ratio": fire_ratio},
            "constellation": {"count": constellation_count, "ratio": constellation_ratio},
            "violations": violations,
            "max_quest_streak": max_quest_streak,
            "max_fire_gap": max_fire_gap,
            "max_const_gap": max_const_gap,
            "health": "✅ 健康" if not violations else f"⚠️ {len(violations)} 个问题"
        }

    def analyze_pacing(self) -> List[Dict]:
        """分析爽点节奏分布（每 100 章为一段）"""
        segment_size = 100
        segments = []

        for i in range(0, len(self.chapters_data), segment_size):
            segment_chapters = self.chapters_data[i:i+segment_size]

            if not segment_chapters:
                continue

            start_ch = segment_chapters[0]["chapter"]
            end_ch = segment_chapters[-1]["chapter"]
            total_words = sum(ch["word_count"] for ch in segment_chapters)

            # 假设爽点数量 = 章节数（简化：每章至少 1 个爽点）
            # 实际项目应该在审查报告中记录爽点数量
            assumed_cool_points = len(segment_chapters)

            words_per_point = total_words / assumed_cool_points if assumed_cool_points > 0 else 0

            segments.append({
                "start": start_ch,
                "end": end_ch,
                "total_words": total_words,
                "cool_points": assumed_cool_points,
                "words_per_point": words_per_point,
                "rating": self._get_pacing_rating(words_per_point)
            })

        return segments

    def _get_pacing_rating(self, words_per_point: float) -> str:
        """判断节奏评级"""
        if words_per_point < 1000:
            return "优秀"
        elif words_per_point < 1500:
            return "良好"
        elif words_per_point < 2000:
            return "及格"
        else:
            return "偏低⚠️"

    def generate_relationship_graph(self) -> str:
        """生成人际关系 Mermaid 图"""
        if not self.state:
            return ""

        relationships = self.state.get("relationships", {})
        protagonist_name = self.state.get("protagonist_state", {}).get("name", "主角")

        lines = ["```mermaid", "graph LR"]

        for char_name, rel_data in relationships.items():
            affection = rel_data.get("affection", 0)
            hatred = rel_data.get("hatred", 0)

            if affection > 0:
                lines.append(f"    {protagonist_name} -->|好感度{affection}| {char_name}")

            if hatred > 0:
                lines.append(f"    {protagonist_name} -->|仇恨度{hatred}| {char_name}")

        lines.append("```")

        return "\n".join(lines)

    def generate_report(self, focus: str = "all") -> str:
        """生成健康报告（Markdown 格式）"""

        report_lines = [
            "# 全书健康报告",
            "",
            f"> **生成时间**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
            "",
            "---",
            ""
        ]

        # 基本数据
        if focus in ["all", "basic"]:
            report_lines.extend(self._generate_basic_stats())

        # 角色活跃度
        if focus in ["all", "characters"]:
            report_lines.extend(self._generate_character_section())

        # 伏笔深度
        if focus in ["all", "foreshadowing"]:
            report_lines.extend(self._generate_foreshadowing_section())

        # 伏笔紧急度（新增）
        if focus in ["all", "foreshadowing", "urgency"]:
            report_lines.extend(self._generate_urgency_section())

        # 爽点节奏
        if focus in ["all", "pacing"]:
            report_lines.extend(self._generate_pacing_section())

        # Strand Weave 节奏（新增）
        if focus in ["all", "strand", "pacing"]:
            report_lines.extend(self._generate_strand_section())

        # 人际关系
        if focus in ["all", "relationships"]:
            report_lines.extend(self._generate_relationship_section())

        return "\n".join(report_lines)

    def _generate_basic_stats(self) -> List[str]:
        """生成基本统计"""
        if not self.state:
            return []

        progress = self.state.get("progress", {})
        current_chapter = progress.get("current_chapter", 0)
        total_words = progress.get("total_words", 0)
        target_words = self.state.get("project_info", {}).get("target_words", 2000000)

        avg_words = total_words / current_chapter if current_chapter > 0 else 0
        completion = (total_words / target_words * 100) if target_words > 0 else 0

        return [
            "## 📊 基本数据",
            "",
            f"- **总章节数**: {current_chapter} 章",
            f"- **总字数**: {total_words:,} 字",
            f"- **平均章节字数**: {avg_words:,.0f} 字",
            f"- **创作进度**: {completion:.1f}%（目标 {target_words:,} 字）",
            "",
            "---",
            ""
        ]

    def _generate_character_section(self) -> List[str]:
        """生成角色分析章节"""
        activity = self.analyze_characters()

        if not activity:
            return []

        # 筛选掉线角色
        dropped = {name: data for name, data in activity.items()
                  if "掉线" in data["status"]}

        lines = [
            f"## ⚠️ 角色掉线（{len(dropped)}人）",
            ""
        ]

        if dropped:
            lines.extend([
                "| 角色 | 最后出场 | 缺席章节 | 状态 |",
                "|------|---------|---------|------|"
            ])

            for char_name, data in sorted(dropped.items(),
                                         key=lambda x: x[1]["absence"],
                                         reverse=True):
                lines.append(
                    f"| {char_name} | 第 {data['last_appearance']} 章 | "
                    f"{data['absence']} 章 | {data['status']} |"
                )
        else:
            lines.append("✅ 所有角色活跃度正常")

        lines.extend(["", "---", ""])

        return lines

    def _generate_foreshadowing_section(self) -> List[str]:
        """生成伏笔分析章节"""
        overdue = self.analyze_foreshadowing()

        # 筛选超时伏笔
        overdue_items = [item for item in overdue if "超时" in item["status"]]

        lines = [
            f"## ⚠️ 伏笔超时（{len(overdue_items)}条）",
            ""
        ]

        if overdue_items:
            lines.extend([
                "| 伏笔内容 | 估计埋设 | 已过章节 | 状态 |",
                "|---------|---------|---------|------|"
            ])

            for item in sorted(overdue_items, key=lambda x: x["elapsed"], reverse=True):
                lines.append(
                    f"| {item['content'][:30]}... | 第 {item['estimated_chapter']} 章 | "
                    f"{item['elapsed']} 章 | {item['status']} |"
                )
        else:
            lines.append("✅ 所有伏笔进度正常")

        lines.extend(["", "---", ""])

        return lines

    def _generate_urgency_section(self) -> List[str]:
        """生成伏笔紧急度章节（基于三层级系统）"""
        urgency_list = self.analyze_foreshadowing_urgency()

        # 筛选紧急伏笔
        urgent_items = [item for item in urgency_list if item["urgency"] >= 1.0]

        lines = [
            f"## 🚨 伏笔紧急度排序（{len(urgent_items)}条需关注）",
            "",
            "> 基于三层级系统：核心(×3) / 支线(×2) / 装饰(×1)",
            "> 紧急度 = (已过章节 / 目标回收章节) × 层级权重",
            ""
        ]

        if urgency_list:
            lines.extend([
                "| 伏笔内容 | 层级 | 埋设 | 目标 | 紧急度 | 状态 |",
                "|---------|------|------|------|--------|------|"
            ])

            for item in urgency_list[:10]:  # 只显示前10条
                lines.append(
                    f"| {item['content'][:20]}... | {item['tier']} | "
                    f"第{item['planted_chapter']}章 | 第{item['target_chapter']}章 | "
                    f"{item['urgency']:.2f} | {item['status']} |"
                )
        else:
            lines.append("✅ 暂无伏笔数据")

        lines.extend(["", "---", ""])

        return lines

    def _generate_strand_section(self) -> List[str]:
        """生成 Strand Weave 节奏章节"""
        strand_data = self.analyze_strand_weave()

        lines = [
            "## 🎭 Strand Weave 节奏分析",
            ""
        ]

        if not strand_data.get("has_data"):
            lines.append(f"⚠️ {strand_data.get('message', '暂无数据')}")
            lines.extend(["", "---", ""])
            return lines

        # 占比统计
        lines.extend([
            "### 三线占比",
            "",
            "| Strand | 章节数 | 占比 | 目标范围 | 状态 |",
            "|--------|--------|------|----------|------|"
        ])

        q = strand_data["quest"]
        q_status = "✅" if 55 <= q["ratio"] <= 65 else "⚠️"
        lines.append(f"| Quest（主线） | {q['count']} | {q['ratio']:.1f}% | 55-65% | {q_status} |")

        f = strand_data["fire"]
        f_status = "✅" if 20 <= f["ratio"] <= 30 else "⚠️"
        lines.append(f"| Fire（感情） | {f['count']} | {f['ratio']:.1f}% | 20-30% | {f_status} |")

        c = strand_data["constellation"]
        c_status = "✅" if 10 <= c["ratio"] <= 20 else "⚠️"
        lines.append(f"| Constellation（世界观） | {c['count']} | {c['ratio']:.1f}% | 10-20% | {c_status} |")

        lines.append("")

        # 连续性检查
        lines.extend([
            "### 连续性检查",
            "",
            f"- Quest 最大连续: {strand_data['max_quest_streak']} 章（限制 ≤5）",
            f"- Fire 最大缺失: {strand_data['max_fire_gap']} 章（限制 ≤10）",
            f"- Constellation 最大缺失: {strand_data['max_const_gap']} 章（限制 ≤15）",
            ""
        ])

        # 违规清单
        if strand_data["violations"]:
            lines.extend([
                "### ⚠️ 违规清单",
                ""
            ])
            for v in strand_data["violations"]:
                lines.append(f"- {v}")
        else:
            lines.append("### ✅ 无违规")

        lines.extend(["", f"**综合健康度**: {strand_data['health']}", "", "---", ""])

        return lines

    def _generate_pacing_section(self) -> List[str]:
        """生成节奏分析章节"""
        segments = self.analyze_pacing()

        lines = [
            "## 📈 爽点节奏分布",
            "",
            "```"
        ]

        for seg in segments:
            bar_length = int(12 - (seg["words_per_point"] / 2000 * 12))
            bar_length = max(1, min(12, bar_length))

            bar = "█" * bar_length

            lines.append(
                f"第 {seg['start']}-{seg['end']}章   {bar} "
                f"{seg['rating']}（{seg['words_per_point']:.0f}字/爽点）"
            )

        lines.extend(["```", "", "---", ""])

        return lines

    def _generate_relationship_section(self) -> List[str]:
        """生成人际关系章节"""
        graph = self.generate_relationship_graph()

        lines = [
            "## 💑 人际关系趋势",
            "",
            graph,
            "",
            "---",
            ""
        ]

        return lines

def main():
    import argparse

    parser = argparse.ArgumentParser(
        description="可视化状态报告生成器",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
示例：
  # 生成完整健康报告
  python status_reporter.py --output .webnovel/health_report.md

  # 仅分析角色活跃度
  python status_reporter.py --focus characters

  # 仅分析伏笔
  python status_reporter.py --focus foreshadowing

  # 仅分析爽点节奏
  python status_reporter.py --focus pacing
        """
    )

    parser.add_argument('--output', default='.webnovel/health_report.md',
                       help='输出文件路径')
    parser.add_argument('--focus', choices=['all', 'basic', 'characters',
                                            'foreshadowing', 'urgency', 'pacing',
                                            'strand', 'relationships'],
                       default='all', help='分析焦点（新增 urgency, strand）')
    parser.add_argument('--project-root', default='.', help='项目根目录')

    args = parser.parse_args()

    # 创建报告生成器
    reporter = StatusReporter(args.project_root)

    # 加载状态
    if not reporter.load_state():
        sys.exit(1)

    print("📖 正在扫描章节文件...")
    reporter.scan_chapters()

    print(f"✅ 已扫描 {len(reporter.chapters_data)} 个章节")

    print("\n📊 正在分析...")

    # 生成报告
    report = reporter.generate_report(args.focus)

    # 保存报告
    output_file = Path(args.output)
    output_file.parent.mkdir(parents=True, exist_ok=True)

    with open(output_file, 'w', encoding='utf-8') as f:
        f.write(report)

    print(f"\n✅ 健康报告已生成: {output_file}")

    # 预览报告（前 30 行）
    print("\n" + "="*60)
    print("📄 报告预览：\n")
    print("\n".join(report.split("\n")[:30]))
    print("\n...")
    print("="*60)

if __name__ == "__main__":
    main()