Function analyzeTopicSegments

src/renderer/src/services/titleService.ts:363–416

(
  messages: ChatMessage[]
)

 * @param messages 消息列表
 */
export async function analyzeTopicSegments(
  messages: ChatMessage[]
): Promise<TopicSegmentationResult> {
  const { llmConfig, modelConfig } = getDefaultConfigs()

  if (!llmConfig) {
    return { segments: [], success: false, error: '未配置 LLM' }
  }

  if (messages.length === 0) {
    return { segments: [], success: true }
  }

  try {
    // 构建对话内容（带序号）
    const conversationStr = messages
      .map((m, idx) => `[${idx}] ${m.role}: ${truncateContent(m.content, 150)}`)
      .join('\n\n')

    const prompt = TOPIC_SEGMENTATION_PROMPT.replace('{conversation}', conversationStr)
    const result = await generateWithAI(prompt, llmConfig, modelConfig || undefined)

    // 解析 JSON 结果
    const cleanResult = result.trim()
    // 尝试提取 JSON 数组
    const jsonMatch = cleanResult.match(/\[[\s\S]*\]/)
    if (!jsonMatch) {
      console.error('Failed to parse topic segments: no JSON array found', cleanResult)
      return { segments: [], success: false, error: '无法解析分段结果' }
    }

    const segments: TopicSegment[] = JSON.parse(jsonMatch[0])

    // 验证并清理结果
    const validSegments = segments
      .filter(
        (s) =>
          typeof s.index === 'number' &&
          s.index >= 0 &&
          s.index < messages.length &&
          typeof s.topic === 'string' &&
          s.topic.trim().length > 0
      )
      .map((s) => ({
        index: s.index,
        topic: s.topic.trim().slice(0, 15)
      }))

    return { segments: validSegments, success: true }
  } catch (error) {
    console.error('Failed to analyze topic segments:', error)
    return { segments: [], success: false, error: String(error) }
  }
}

// ==================== 带选项的生成函数 ====================