AIGC漫剧版权与法律风险全解：AI生成内容著作权、侵权防范与广电合规

import json
from datetime import datetime
from enum import Enum

class CopyrightStatus(Enum):
    NO_COPYRIGHT = "无版权（纯AI生成）"
    COLLABORATIVE = "有版权（人机协作）"
    FULL_ORIGINAL = "完整版权（完全原创）"

class RiskLevel(Enum):
    LOW = "低风险"
    MEDIUM = "中风险"
    HIGH = "高风险"
    CRITICAL = "极高风险"

class CreationLog:
    """创作过程日志——版权取证核心"""
    def __init__(self, project_name):
        self.project = project_name
        self.logs = []
        self.prompt_history = []
        self.modification_records = []
        self.source_materials = []

    def log_prompt(self, step, prompt, params, result_url=""):
        """记录每次AI生成的提示词和参数"""
        entry = {
            "timestamp": datetime.now().isoformat(),
            "step": step,
            "prompt": prompt,
            "parameters": params,
            "result": result_url,
            "prompt_complexity": self._calc_complexity(prompt)
        }
        self.prompt_history.append(entry)
        self.logs.append(entry)
        return f"已记录 {step} 提示词 (复杂度: {entry['prompt_complexity']})"

    def log_modification(self, step, description, before_url="", after_url=""):
        """记录人工修改"""
        entry = {
            "timestamp": datetime.now().isoformat(),
            "step": step,
            "description": description,
            "before": before_url,
            "after": after_url
        }
        self.modification_records.append(entry)
        self.logs.append(entry)
        return f"已记录 {step} 修改: {description}"

    def log_source(self, material_type, source, license_info):
        """记录素材来源"""
        entry = {
            "timestamp": datetime.now().isoformat(),
            "type": material_type,
            "source": source,
            "license": license_info,
            "authorized": "是" if "授权" in license_info or "CC0" in license_info else "待确认"
        }
        self.source_materials.append(entry)
        return entry

    def _calc_complexity(self, prompt):
        """评估提示词复杂度（用于版权独创性判断）"""
        words = len(prompt.split())
        modifiers = sum(1 for k in ["光线","构图","风格","色调","景别",
                                      "情绪","材质","氛围","镜头","渲染"] if k in prompt)
        if words > 50 and modifiers >= 5:
            return "高（有助于证明独创性）"
        elif words > 20 and modifiers >= 3:
            return "中"
        else:
            return "低（可能无法证明独创性）"

    def assess_copyright(self):
        """评估版权状态"""
        prompt_count = len(self.prompt_history)
        mod_count = len(self.modification_records)
        high_complexity = sum(1 for p in self.prompt_history
                            if "高" in p["prompt_complexity"])

        if prompt_count >= 10 and mod_count >= 5 and high_complexity >= 3:
            return CopyrightStatus.FULL_ORIGINAL
        elif prompt_count >= 5 and mod_count >= 3:
            return CopyrightStatus.COLLABORATIVE
        else:
            return CopyrightStatus.NO_COPYRIGHT

    def export_evidence(self):
        """导出版权取证文件"""
        evidence = {
            "project": self.project,
            "export_time": datetime.now().isoformat(),
            "copyright_status": self.assess_copyright().value,
            "total_prompts": len(self.prompt_history),
            "total_modifications": len(self.modification_records),
            "source_materials_count": len(self.source_materials),
            "prompt_history": self.prompt_history,
            "modification_records": self.modification_records,
            "source_materials": self.source_materials
        }
        return json.dumps(evidence, ensure_ascii=False, indent=2)


class ComplianceChecker:
    """广电合规检查器"""

    RED_LINE_KEYWORDS = [
        "政治敏感词1", "政治敏感词2",  # 实际使用时替换为完整列表
        "色情", "暴力血腥", "虚假信息"
    ]

    CELEBRITY_NAMES = [
        "明星A", "明星B", "明星C"  # 实际使用时替换为完整名单
    ]

    def __init__(self):
        self.checks = []
        self.risks = []

    def check_portrait_risk(self, prompts):
        """检查肖像权风险"""
        risks = []
        for prompt in prompts:
            for name in self.CELEBRITY_NAMES:
                if name in prompt:
                    risks.append({
                        "type": "肖像权",
                        "level": RiskLevel.HIGH,
                        "detail": f"提示词中包含真实人名: {name}",
                        "action": "立即删除该人名，重新设计角色外观"
                    })
        return risks

    def check_material_risk(self, source_materials):
        """检查素材侵权风险"""
        risks = []
        for mat in source_materials:
            if mat.get("authorized") == "待确认":
                risks.append({
                    "type": "素材侵权",
                    "level": RiskLevel.MEDIUM,
                    "detail": f"素材来源未确认授权: {mat['source']}",
                    "action": "确认素材许可协议或替换为CC0素材"
                })
        return risks

    def check_music_risk(self, music_sources):
        """检查配乐侵权风险"""
        risks = []
        for music in music_sources:
            if "商业音乐" in music or "热门歌曲" in music:
                risks.append({
                    "type": "配乐侵权",
                    "level": RiskLevel.HIGH,
                    "detail": f"使用未授权商业音乐: {music}",
                    "action": "替换为AI生成音乐或CC0免版权音乐"
                })
        return risks

    def check_content_redline(self, script_text):
        """检查内容红线"""
        risks = []
        for keyword in self.RED_LINE_KEYWORDS:
            if keyword in script_text:
                risks.append({
                    "type": "内容红线",
                    "level": RiskLevel.CRITICAL,
                    "detail": f"剧本包含违禁内容: {keyword}",
                    "action": "立即删除相关内容，违反广电红线将导致下架"
                })
        return risks

    def check_ai_label(self, has_ai_label):
        """检查AI标识"""
        if not has_ai_label:
            return [{
                "type": "AI标识缺失",
                "level": RiskLevel.MEDIUM,
                "detail": "未在显著位置标注'AI生成'标识",
                "action": "在视频开头或角落添加'AI生成'水印"
            }]
        return []

    def run_full_check(self, creation_log, script_text, music_sources, has_ai_label):
        """执行完整合规检查"""
        all_prompts = [p["prompt"] for p in creation_log.prompt_history]
        self.risks = []
        self.risks += self.check_portrait_risk(all_prompts)
        self.risks += self.check_material_risk(creation_log.source_materials)
        self.risks += self.check_music_risk(music_sources)
        self.risks += self.check_content_redline(script_text)
        self.risks += self.check_ai_label(has_ai_label)
        return self.generate_report()

    def generate_report(self):
        """生成合规报告"""
        if not self.risks:
            return {"status": "通过", "message": "未发现合规风险",
                    "copyright": "请同时确认版权状态"}
        high_count = sum(1 for r in self.risks
                        if r["level"] in [RiskLevel.HIGH, RiskLevel.CRITICAL])
        return {
            "status": "不通过" if high_count > 0 else "需关注",
            "total_risks": len(self.risks),
            "high_risks": high_count,
            "risks": [{
                "type": r["type"],
                "level": r["level"].value,
                "detail": r["detail"],
                "action": r["action"]
            } for r in self.risks]
        }


# ===== 使用示例 =====
log = CreationLog("重生之锦绣华庭")

# 记录创作过程（版权取证）
log.log_prompt("角色卡-女主", "古风少女，十八岁，鹅蛋脸，柳叶眉，"
               "杏眼含泪，身穿淡粉色绣花襦裙，发髻插玉簪，"
               "光线柔和侧逆光，浅景深，工笔画风格，色调偏暖，"
               "情绪忧郁但坚韧，半身像，渲染质感细腻",
               {"model":"即梦AI","steps":30,"cfg":7.5})

log.log_modification("角色卡-女主", "手动调整眼角泪光效果，增强情绪表达")
log.log_modification("角色卡-女主", "修正衣领花纹对称性，增加刺绣细节")

log.log_source("参考素材", "自绘草图", "自有原创，完全授权")
log.log_source("背景素材", "Pexels免费图库", "CC0协议，可商用")

# 评估版权状态
status = log.assess_copyright()
print(f"版权状态: {status.value}")

# 合规检查
checker = ComplianceChecker()
music = ["Suno AI生成-原创BGM", "热门歌曲-某某金曲"]
report = checker.run_full_check(
    log,
    "女主重生后决心复仇，踏上锦绣之路",
    music,
    has_ai_label=True
)
print(json.dumps(report, ensure_ascii=False, indent=2))

取决于你的创作投入程度。如果你只是输入"一个美女"就一键生成，这不享有版权；如果你编写了详细的提示词（包含构图、光线、风格、情绪等描述）、进行了多轮参数调整和人工修改，这属于"人机协作作品"，你享有著作权。建议每次创作都保留提示词历史和修改记录作为版权证据。简言之：投入越多智力劳动，版权保护越强。

算。2026年首例AI漫剧侵权案已明确：即使不直接使用真人照片，只要提示词中包含真实人名或"类似于某人"的描述，导致AI生成形象与真实人物具有可识别的相似性，就构成肖像权侵权。判断标准是"可识别性"而非"是否使用照片"。正确做法：角色设计完全原创，提示词中只描述角色外观特征（如"鹅蛋脸、柳叶眉"），绝不使用任何真实人名或"像某人"的表述。

核心是"三留存"材料：第一，AI生成日志——记录每次AI生图和视频生成的提示词、参数、时间戳，建议用自动化工具记录；第二，工程源文件——保留分镜图、角色卡中间版本、剪辑工程文件等制作过程文件；第三，视觉素材来源记录——标注每张参考图的来源和授权状态。此外还需准备内容审核报告（确认不触碰三条红线）和"AI生成"标识证明。建议在项目启动时就建立合规档案，而非事后补齐。

关键前提是你的作品本身享有版权（即属于人机协作或完全原创）。维权步骤：第一步，收集对方侵权证据（截图、录屏、链接公证）；第二步，整理你的创作过程日志（提示词历史、修改记录、发表时间证明）；第三步，先通过平台投诉渠道举报下架；第四步，如平台处理不满意，可向法院提起著作权侵权诉讼。注意：如果你的作品属于"纯AI生成"（无版权），则无法维权——这再次说明了保留创作过程证据的重要性。