自媒体矩阵管理全链路调优：AI写文创作、自动发布与收录加速联动

# 多账号差异化生成规则示例
class AccountProfile:
    def __init__(self, name, tone, knowledge_base, structure):
        self.name = name
        self.tone = tone          # 语气：professional / friendly / technical
        self.knowledge_base = knowledge_base  # 专属知识库ID
        self.structure = structure  # 文章结构模板

accounts = {
    "official": AccountProfile(
        name="官方号",
        tone="professional",
        knowledge_base="kb_brand_core",
        structure="problem-solution-benefit"
    ),
    "ip_account": AccountProfile(
        name="IP人设号",
        tone="friendly",
        knowledge_base="kb_brand_story",
        structure="story-insight-action"
    ),
    "tech_column": AccountProfile(
        name="技术专栏",
        tone="technical",
        knowledge_base="kb_product_specs",
        structure="data-analysis-conclusion"
    )
}

# 多平台发布调度器伪代码
class PublishScheduler:
    def __init__(self, platforms, accounts):
        self.platforms = platforms  # 平台配置列表
        self.accounts = accounts    # 账号池
        self.publish_log = []
    
    def schedule_article(self, article, target_platforms):
        """
        为单篇文章生成多平台发布计划
        关键约束：
        1. 各平台间隔5-15分钟（模拟人工操作）
        2. 避开各平台流量低谷时段
        3. 账号异常时自动切换备用账号
        """
        schedule = []
        for idx, platform in enumerate(target_platforms):
            # 获取该平台最佳发布时间窗口
            peak_hours = self.get_peak_hours(platform)
            # 计算发布时间：基准时间 + 错峰偏移
            publish_time = self.calc_publish_time(
                base_time=now(),
                offset_minutes=idx * random.randint(5, 15),
                peak_hours=peak_hours
            )
            # 从账号池中选择健康账号
            account = self.select_healthy_account(platform)
            schedule.append({
                'platform': platform,
                'account': account,
                'publish_time': publish_time,
                'article': article
            })
        return schedule
    
    def get_peak_hours(self, platform):
        # 各平台流量高峰时段配置
        peak_map = {
            'baijiahao': ['07:00-09:00', '12:00-13:00', '19:00-21:00'],
            'zhihu': ['08:00-10:00', '12:00-14:00', '20:00-22:00'],
            'sohu': ['09:00-11:00', '14:00-16:00'],
            'netease': ['07:00-09:00', '18:00-20:00']
        }
        return peak_map.get(platform, ['08:00-22:00'])

# 收录状态监控与反馈闭环
class IndexMonitor:
    def __init__(self):
        self.index_status = {}  # url -> status
        self.alert_threshold = 0.3  # 7天未收录比例阈值
    
    def check_batch_index(self, urls, engine='baidu'):
        """
        批量查询收录状态
        返回: 已收录列表, 未收录列表, 收录率
        """
        indexed = []
        not_indexed = []
        for url in urls:
            status = self.query_index_status(url, engine)
            if status == 'indexed':
                indexed.append(url)
            else:
                not_indexed.append(url)
        rate = len(indexed) / len(urls) if urls else 0
        
        # 触发告警：收录率低于阈值
        if rate < self.alert_threshold:
            self.trigger_alert(f"收录率异常: {rate:.1%}")
        
        return indexed, not_indexed, rate
    
    def trigger_alert(self, message):
        # 发送告警通知，触发人工介入
        print(f"[ALERT] {message}")
        # 可接入钉钉/飞书/邮件通知

# 全链路追踪数据结构
class ContentPipeline:
    def __init__(self):
        self.pipeline_id = uuid.uuid4()
        self.article = None          # 文章内容
        self.generation_rule = None  # 生成规则ID
        self.publish_records = []    # 各平台发布记录
        self.index_records = []      # 各平台收录记录
    
    def get_full_latency(self):
        """计算从生成到首次收录的全链路耗时"""
        first_publish = min([r.publish_time for r in self.publish_records])
        first_index = min([r.index_time for r in self.index_records if r.indexed])
        return first_index - first_publish if first_index else None
    
    def get_platform_index_rate(self, platform):
        """按平台统计收录率"""
        records = [r for r in self.index_records if r.platform == platform]
        indexed = len([r for r in records if r.indexed])
        return indexed / len(records) if records else 0