import {
    ref,
    onUnmounted,
    onBeforeUnmount,
    onMounted
} from 'vue'
import {
    onHide,
    onUnload
} from '@dcloudio/uni-app'
import WavDecoder from '@/lib/wav-decoder@1.3.0.js'

export function useTTSPlayer(httpUrl) {
    const isSpeaking = ref(false)
    const isPaused = ref(false)
    const isComplete = ref(false)

    // #ifdef H5
    const audioContext = typeof window !== 'undefined' && (window.AudioContext || window.webkitAudioContext) 
        ? new(window.AudioContext || window.webkitAudioContext)() 
        : null
    // #endif
    
    // #ifdef MP-WEIXIN
    const audioContext = null // 微信小程序不支持 AudioContext
    // #endif
    
    let currentAudioBuffer = null
    let currentSource = null
    let playTimeOffset = 0

    const speak = async (text) => {
        if (!audioContext) {
            console.warn('⚠️ TTS not supported in current environment');
            return;
        }
        
        console.log('🎤 TTS speak function called');
        console.log('📝 Text to synthesize:', text ? text.substring(0, 100) + '...' : 'No text');
        console.log('🔗 HTTP URL:', httpUrl);
        
        // 停止当前播放
        stop()
        
        try {
            // 提取要合成的文本
            const speechText = extractSpeechText(text)
            console.log('📤 Sending text to TTS server via GET:', speechText.substring(0, 100) + '...');
            
            // 构建GET请求URL
            const url = `${httpUrl}?text=${encodeURIComponent(speechText)}`
            console.log('🔗 Final GET URL:', url);
            
            // 发送GET请求获取语音数据
            const response = await fetch(url)
            if (!response.ok) {
                throw new Error(`HTTP error! status: ${response.status}`)
            }
            
            // 获取二进制数据
            const arrayBuffer = await response.arrayBuffer()
            console.log('✅ Received audio data, size:', arrayBuffer.byteLength + ' bytes');
            
            // 解码音频数据
            const decoded = await WavDecoder.decode(arrayBuffer)
            console.log('✅ Audio decoded, sampleRate:', decoded.sampleRate, 'channels:', decoded.channelData.length);
            
            // 播放音频
            playDecodedAudio(decoded)
        } catch (error) {
            console.error('❌ TTS synthesis failed:', error);
            isSpeaking.value = false
            isComplete.value = false
        }
    }

    const playDecodedAudio = (decoded) => {
        if (!audioContext) return;
        
        // 使用第一个声道的数据
        const audioBuffer = audioContext.createBuffer(1, decoded.channelData[0].length, decoded.sampleRate)
        audioBuffer.copyToChannel(decoded.channelData[0], 0)
        
        currentAudioBuffer = audioBuffer
        
        // 创建音频源
        currentSource = audioContext.createBufferSource()
        currentSource.buffer = audioBuffer
        currentSource.connect(audioContext.destination)
        
        // 监听播放结束
        currentSource.onended = () => {
            console.log('🎵 Audio playback completed');
            isSpeaking.value = false
            isComplete.value = true
        }
        
        // 开始播放
        currentSource.start()
        isSpeaking.value = true
        isPaused.value = false
        isComplete.value = false
        console.log('� Audio playback started');
    }

    const pause = () => {
        if (!audioContext || !isSpeaking.value || isPaused.value) {
            console.warn('⚠️ Cannot pause TTS playback');
            return;
        }
        
        console.log('⏸️ TTS pause called');
        
        if (audioContext.state === 'running') {
            audioContext.suspend()
            isPaused.value = true
            // 保存当前播放位置
            playTimeOffset = audioContext.currentTime
            console.log('✅ Audio paused successfully');
        }
    }

    const resume = () => {
        if (!audioContext || !isSpeaking.value || !isPaused.value) {
            console.warn('⚠️ Cannot resume TTS playback');
            return;
        }
        
        console.log('▶️ TTS resume called');
        
        if (audioContext.state === 'suspended') {
            audioContext.resume()
            isPaused.value = false
            console.log('✅ Audio resumed successfully');
        }
    }

    const cancelAudio = () => {
        stop()
    }

    const stop = () => {
        console.log('⏹️ TTS stop called');
        
        if (currentSource) {
            try {
                currentSource.stop()
                currentSource.disconnect()
            } catch (e) {
                console.error('❌ Error stopping audio source:', e);
            }
            currentSource = null
        }
        
        if (audioContext && audioContext.state === 'running') {
            try {
                audioContext.suspend()
            } catch (e) {
                console.error('❌ Error suspending audio context:', e);
            }
        }
        
        isSpeaking.value = false
        isPaused.value = false
        isComplete.value = false
        currentAudioBuffer = null
        playTimeOffset = 0
        
        console.log('✅ TTS playback stopped');
    }

    onUnmounted(() => {
        stop()
    })

    // 页面刷新/关闭时
    onMounted(() => {
        if (typeof window !== 'undefined') {
            window.addEventListener('beforeunload', cancelAudio)
        }
    })

    onBeforeUnmount(() => {
        cancelAudio()
        if (typeof window !== 'undefined') {
            window.removeEventListener('beforeunload', cancelAudio)
        }
    })

    onHide(cancelAudio)
    onUnload(cancelAudio)

    return {
        speak,
        pause,
        resume,
        cancelAudio,
        isSpeaking,
        isPaused,
        isComplete
    }
}

function extractSpeechText(markdown) {
    console.log('🔍 extractSpeechText called');
    console.log('📝 Input markdown length:', markdown ? markdown.length : 0);
    console.log('📝 Input markdown preview:', markdown ? markdown.substring(0, 200) + '...' : 'No markdown');
    
    const jobRegex = /``` job-json\s*({[\s\S]*?})\s*```/g;
    const jobs = [];
    let match;
    let lastJobEndIndex = 0;
    let firstJobStartIndex = -1;

    // 提取岗位 json 数据及前后位置
    while ((match = jobRegex.exec(markdown)) !== null) {
        const jobStr = match[1];
        try {
            const job = JSON.parse(jobStr);
            jobs.push(job);
            if (firstJobStartIndex === -1) {
                firstJobStartIndex = match.index;
            }
            lastJobEndIndex = jobRegex.lastIndex;
            console.log('✅ Found job:', job.jobTitle);
        } catch (e) {
            console.warn('JSON 解析失败', e);
        }
    }

    console.log('📊 Jobs found:', jobs.length);
    console.log('📍 First job start index:', firstJobStartIndex);
    console.log('📍 Last job end index:', lastJobEndIndex);

    // 提取引导语（第一个 job-json 之前的文字）
    const guideText = firstJobStartIndex > 0 ?
        markdown.slice(0, firstJobStartIndex).trim() :
        '';

    // 提取结束语（最后一个 job-json 之后的文字）
    const endingText = lastJobEndIndex < markdown.length ?
        markdown.slice(lastJobEndIndex).trim() :
        '';

    console.log('📝 Guide text:', guideText);
    console.log('📝 Ending text:', endingText);

    // 岗位信息格式化为语音文本
    const jobTexts = jobs.map((job, index) => {
        return `第 ${index + 1} 个岗位，岗位名称是：${job.jobTitle}，公司是：${job.companyName}，薪资：${job.salary}，地点：${job.location}，学历要求：${job.education}，经验要求：${job.experience}。`;
    });

    // 拼接总语音内容
    const finalTextParts = [];
    if (guideText) finalTextParts.push(guideText);
    finalTextParts.push(...jobTexts);
    if (endingText) finalTextParts.push(endingText);

    const finalText = finalTextParts.join('\n');
    console.log('🎤 Final TTS text length:', finalText.length);
    console.log('🎤 Final TTS text preview:', finalText.substring(0, 200) + '...');
    console.log('🎤 Final TTS text parts count:', finalTextParts.length);

    return finalText;
}