/**
 * RNNoise WebAssembly & AudioWorklet Real-Time Noise Suppression Engine
 *
 * Provides neural-network-powered speech enhancement and background noise suppression
 * for WebRTC audio streams (candidate and interviewer calls) using Xiph's RNNoise.
 */

import { RnnoiseWorkletNode, loadRnnoise } from '@sapphi-red/web-noise-suppressor';
import rnnoiseWorkletUrl from '@sapphi-red/web-noise-suppressor/rnnoiseWorklet.js?url';
import rnnoiseWasmUrl from '@sapphi-red/web-noise-suppressor/rnnoise.wasm?url';
import rnnoiseSimdWasmUrl from '@sapphi-red/web-noise-suppressor/rnnoise_simd.wasm?url';

// Cache loaded WASM binary and worklet registration across audio contexts
let cachedWasmBinaryPromise = null;
const registeredAudioContexts = new WeakSet();

/**
 * Check if the browser environment supports AudioWorklet & WebAssembly
 */
export function isRNNoiseSupported() {
    return typeof window !== 'undefined' &&
        typeof window.AudioContext !== 'undefined' &&
        typeof window.WebAssembly !== 'undefined' &&
        typeof AudioWorkletNode !== 'undefined';
}

/**
 * Get user preference for RNNoise noise suppression (default: enabled)
 */
export function getRNNoisePreference() {
    if (typeof localStorage === 'undefined') return true;
    const pref = localStorage.getItem('sls_rnnoise_enabled');
    return pref === null ? true : pref === 'true';
}

/**
 * Save user preference for RNNoise noise suppression
 */
export function setRNNoisePreference(enabled) {
    if (typeof localStorage !== 'undefined') {
        localStorage.setItem('sls_rnnoise_enabled', enabled ? 'true' : 'false');
    }
}

/**
 * Load the RNNoise WASM binary (with SIMD detection fallback)
 */
async function getWasmBinary() {
    if (!cachedWasmBinaryPromise) {
        cachedWasmBinaryPromise = loadRnnoise({
            url: rnnoiseWasmUrl,
            simdUrl: rnnoiseSimdWasmUrl,
        }).catch((err) => {
            console.warn('[RNNoise] Failed to load WASM binary:', err);
            cachedWasmBinaryPromise = null;
            throw err;
        });
    }
    return cachedWasmBinaryPromise;
}

/**
 * Register the RNNoise AudioWorklet module in the given AudioContext
 */
async function registerWorkletModule(audioCtx) {
    if (!registeredAudioContexts.has(audioCtx)) {
        await audioCtx.audioWorklet.addModule(rnnoiseWorkletUrl);
        registeredAudioContexts.add(audioCtx);
    }
}

/**
 * Noise Suppressor Controller for an active MediaStream
 */
export class NoiseSuppressorController {
    constructor({
        audioCtx,
        sourceNode,
        rnnoiseNode,
        noiseGain,
        bypassGain,
        destinationNode,
        rawStream,
        processedStream,
        initialEnabled = true,
    }) {
        this.audioCtx = audioCtx;
        this.sourceNode = sourceNode;
        this.rnnoiseNode = rnnoiseNode;
        this.noiseGain = noiseGain;
        this.bypassGain = bypassGain;
        this.destinationNode = destinationNode;
        this.rawStream = rawStream;
        this.processedStream = processedStream;
        this._enabled = initialEnabled;
        this._disposed = false;

        this.applyState(initialEnabled, true);
    }

    /**
     * Enable or disable noise suppression with smooth audio gain transition
     */
    setEnabled(enabled) {
        if (this._disposed) return;
        this._enabled = Boolean(enabled);
        setRNNoisePreference(this._enabled);
        this.applyState(this._enabled, false);
    }

    applyState(enabled, immediate = false) {
        if (!this.noiseGain || !this.bypassGain || !this.audioCtx) return;
        const now = this.audioCtx.currentTime;
        const transitionDuration = immediate ? 0 : 0.02; // 20ms click-free cross-fade

        if (enabled) {
            // Enable RNNoise path, disable raw bypass
            this.bypassGain.gain.setValueAtTime(this.bypassGain.gain.value, now);
            this.bypassGain.gain.linearRampToValueAtTime(0.0, now + transitionDuration);

            this.noiseGain.gain.setValueAtTime(this.noiseGain.gain.value, now);
            this.noiseGain.gain.linearRampToValueAtTime(1.0, now + transitionDuration);
        } else {
            // Disable RNNoise path, enable raw bypass
            this.noiseGain.gain.setValueAtTime(this.noiseGain.gain.value, now);
            this.noiseGain.gain.linearRampToValueAtTime(0.0, now + transitionDuration);

            this.bypassGain.gain.setValueAtTime(this.bypassGain.gain.value, now);
            this.bypassGain.gain.linearRampToValueAtTime(1.0, now + transitionDuration);
        }
    }

    toggle() {
        this.setEnabled(!this._enabled);
        return this._enabled;
    }

    isEnabled() {
        return this._enabled;
    }

    getProcessedStream() {
        return this.processedStream || this.rawStream;
    }

    getProcessedAudioTrack() {
        if (this.processedStream) {
            const tracks = this.processedStream.getAudioTracks();
            if (tracks.length > 0) return tracks[0];
        }
        if (this.rawStream) {
            const tracks = this.rawStream.getAudioTracks();
            if (tracks.length > 0) return tracks[0];
        }
        return null;
    }

    getOriginalAudioTrack() {
        if (this.rawStream) {
            const tracks = this.rawStream.getAudioTracks();
            if (tracks.length > 0) return tracks[0];
        }
        return null;
    }

    dispose() {
        if (this._disposed) return;
        this._disposed = true;

        try {
            if (this.sourceNode) this.sourceNode.disconnect();
            if (this.rnnoiseNode) {
                this.rnnoiseNode.disconnect();
                if (typeof this.rnnoiseNode.destroy === 'function') {
                    this.rnnoiseNode.destroy();
                }
            }
            if (this.noiseGain) this.noiseGain.disconnect();
            if (this.bypassGain) this.bypassGain.disconnect();
            if (this.destinationNode) this.destinationNode.disconnect();
        } catch (e) {
            console.warn('[RNNoise] Cleanup warning:', e);
        }

        if (this.processedStream) {
            this.processedStream.getTracks().forEach((t) => {
                try { t.stop(); } catch (e) {}
            });
        }

        if (this.audioCtx && this.audioCtx.state !== 'closed') {
            try { this.audioCtx.close(); } catch (e) {}
        }
    }
}

/**
 * Fallback Controller when RNNoise is unavailable or fails
 */
class FallbackNoiseSuppressorController {
    constructor(rawStream) {
        this.rawStream = rawStream;
        this._enabled = false;
    }
    setEnabled(enabled) { this._enabled = Boolean(enabled); }
    toggle() { this._enabled = !this._enabled; return this._enabled; }
    isEnabled() { return this._enabled; }
    getProcessedStream() { return this.rawStream; }
    getProcessedAudioTrack() {
        return this.rawStream?.getAudioTracks()[0] || null;
    }
    getOriginalAudioTrack() {
        return this.rawStream?.getAudioTracks()[0] || null;
    }
    dispose() {}
}

/**
 * Create a noise-suppressed MediaStream from a raw microphone MediaStream
 *
 * @param {MediaStream} rawStream - Input media stream with microphone audio
 * @param {Object} options - Optional configuration
 * @returns {Promise<NoiseSuppressorController>} Controller with processed stream
 */
export async function createNoiseSuppressedStream(rawStream, options = {}) {
    if (!rawStream || !rawStream.getAudioTracks || rawStream.getAudioTracks().length === 0) {
        return new FallbackNoiseSuppressorController(rawStream);
    }

    if (!isRNNoiseSupported()) {
        console.warn('[RNNoise] WebAudio AudioWorklet / WASM not supported in this browser, using standard audio');
        return new FallbackNoiseSuppressorController(rawStream);
    }

    try {
        const AudioCtxClass = window.AudioContext || window.webkitAudioContext;
        // RNNoise is trained on 48,000Hz (48kHz) audio. Create a 48kHz audio context.
        const audioCtx = new AudioCtxClass({ sampleRate: 48000 });

        if (audioCtx.state === 'suspended') {
            await audioCtx.resume().catch(() => {});
        }

        // Parallelize WASM binary loading & worklet module registration with timeout
        const wasmPromise = getWasmBinary();
        const workletPromise = registerWorkletModule(audioCtx);

        // Fail-safe 3500ms timeout
        const timeoutPromise = new Promise((_, reject) =>
            setTimeout(() => reject(new Error('RNNoise init timeout')), 3500)
        );

        const [wasmBinary] = await Promise.race([
            Promise.all([wasmPromise, workletPromise]),
            timeoutPromise,
        ]);

        const sourceNode = audioCtx.createMediaStreamSource(rawStream);
        const rnnoiseNode = new RnnoiseWorkletNode(audioCtx, {
            maxChannels: 1,
            wasmBinary,
        });

        const noiseGain = audioCtx.createGain();
        const bypassGain = audioCtx.createGain();
        const destinationNode = audioCtx.createMediaStreamDestination();

        // Connect RNNoise path: Source -> RNNoise -> NoiseGain -> Destination
        sourceNode.connect(rnnoiseNode);
        rnnoiseNode.connect(noiseGain);
        noiseGain.connect(destinationNode);

        // Connect Bypass path: Source -> BypassGain -> Destination
        sourceNode.connect(bypassGain);
        bypassGain.connect(destinationNode);

        const processedStream = destinationNode.stream;
        const initialEnabled = options.enabled !== undefined ? options.enabled : getRNNoisePreference();

        console.log('[RNNoise] Audio suppressor initialized successfully (enabled:', initialEnabled, ')');

        return new NoiseSuppressorController({
            audioCtx,
            sourceNode,
            rnnoiseNode,
            noiseGain,
            bypassGain,
            destinationNode,
            rawStream,
            processedStream,
            initialEnabled,
        });
    } catch (err) {
        console.warn('[RNNoise] Failed to initialize noise suppression worklet, falling back to raw audio:', err);
        return new FallbackNoiseSuppressorController(rawStream);
    }
}