package cn.iocoder.yudao.server;

import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.model.anthropic.autoconfigure.AnthropicChatAutoConfiguration;
import org.springframework.ai.model.deepseek.autoconfigure.DeepSeekChatAutoConfiguration;
import org.springframework.ai.model.google.genai.autoconfigure.chat.GoogleGenAiChatAutoConfiguration;
import org.springframework.ai.model.google.genai.autoconfigure.embedding.GoogleGenAiEmbeddingConnectionAutoConfiguration;
import org.springframework.ai.model.google.genai.autoconfigure.embedding.GoogleGenAiTextEmbeddingAutoConfiguration;
import org.springframework.ai.model.openai.autoconfigure.OpenAiAudioSpeechAutoConfiguration;
import org.springframework.ai.model.openai.autoconfigure.OpenAiAudioTranscriptionAutoConfiguration;
import org.springframework.ai.model.openai.autoconfigure.OpenAiChatAutoConfiguration;
import org.springframework.ai.model.openai.autoconfigure.OpenAiEmbeddingAutoConfiguration;
import org.springframework.ai.model.openai.autoconfigure.OpenAiImageAutoConfiguration;
import org.springframework.ai.model.openai.autoconfigure.OpenAiModerationAutoConfiguration;
import org.springframework.ai.model.ollama.autoconfigure.OllamaApiAutoConfiguration;
import org.springframework.ai.model.ollama.autoconfigure.OllamaChatAutoConfiguration;
import org.springframework.ai.model.ollama.autoconfigure.OllamaEmbeddingAutoConfiguration;
import org.springframework.ai.model.stabilityai.autoconfigure.StabilityAiImageAutoConfiguration;
import org.springframework.ai.vectorstore.milvus.autoconfigure.MilvusVectorStoreAutoConfiguration;
import org.springframework.ai.vectorstore.qdrant.autoconfigure.QdrantVectorStoreAutoConfiguration;
import org.springframework.ai.vectorstore.redis.autoconfigure.RedisVectorStoreAutoConfiguration;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.metrics.buffering.BufferingApplicationStartup;

/**
 * 项目的启动类
 *
 * 如果你碰到启动的问题，请认真阅读 https://doc.iocoder.cn/quick-start/ 文章
 * 如果你碰到启动的问题，请认真阅读 https://doc.iocoder.cn/quick-start/ 文章
 * 如果你碰到启动的问题，请认真阅读 https://doc.iocoder.cn/quick-start/ 文章
 *
 * @author 超级管理员
 */
@Slf4j
@SuppressWarnings("SpringComponentScan") // 忽略 IDEA 无法识别 ${yudao.info.base-package}
@SpringBootApplication(scanBasePackages = {"${yudao.info.base-package}.server", "${yudao.info.base-package}.module"},
        // 注意：这里排除的 Spring AI 自动配置，与各 profile 的 spring.autoconfigure.exclude 保持一致，但写在代码里的
        // 原因是：注解里的排除项与 yaml 里的排除项是「并集」，不会被外部 profile 配置文件覆盖，保证换任何 profile 都能正常启动。
        // 1. 向量库：AI 模块由 AiModelFactoryImpl 手动构建 VectorStore，三个自动配置同时启用会争抢 vectorStore 这个 bean 名
        // 2. 模型：AI 模块的模型由 AiModelFactoryImpl 手动构建（走 DB 里 ai_model 配置的 apiKey），不需要 Spring AI 的模型 Bean；
        //    且未配置 api-key 时自动配置会在启动阶段直接抛「API key cannot be empty.」
        exclude = {
                // ========== 向量库自动配置 ==========
                QdrantVectorStoreAutoConfiguration.class,
                RedisVectorStoreAutoConfiguration.class,
                MilvusVectorStoreAutoConfiguration.class,
                // ========== 模型自动配置 ==========
                OpenAiChatAutoConfiguration.class,
                OpenAiEmbeddingAutoConfiguration.class,
                OpenAiImageAutoConfiguration.class,
                OpenAiAudioSpeechAutoConfiguration.class,
                OpenAiAudioTranscriptionAutoConfiguration.class,
                OpenAiModerationAutoConfiguration.class,
                DeepSeekChatAutoConfiguration.class,
                AnthropicChatAutoConfiguration.class,
                GoogleGenAiChatAutoConfiguration.class,
                GoogleGenAiEmbeddingConnectionAutoConfiguration.class,
                GoogleGenAiTextEmbeddingAutoConfiguration.class,
                OllamaApiAutoConfiguration.class,
                OllamaChatAutoConfiguration.class,
                OllamaEmbeddingAutoConfiguration.class,
                StabilityAiImageAutoConfiguration.class,
        })
public class YudaoServerApplication {

    public static void main(String[] args) {
        long startTime = System.currentTimeMillis();

        SpringApplication app = new SpringApplication(YudaoServerApplication.class);
        app.setApplicationStartup(new BufferingApplicationStartup(4096));
        app.run(args);

        long cost = System.currentTimeMillis() - startTime;
        log.info("========================================");
        log.info("应用启动完成，耗时: {} 秒 ({} 毫秒)", cost / 1000.0, cost);
        log.info("========================================");
    }

}