import { F as Filter } from '../Filter-D34Wsmrj.cjs';
import { L as Language, F as FilterConfig, C as CheckProfanityResult } from '../types-B9c_ik4k.cjs';

/**
 * Audio Pipeline Utilities for glin-profanity
 *
 * Provides utilities for checking profanity in audio content.
 * This module does NOT include speech-to-text - users bring their own
 * transcription from Whisper, Google STT, Azure Speech, etc.
 *
 * @example
 * ```typescript
 * import { createAudioPipeline } from 'glin-profanity/audio';
 * import OpenAI from 'openai';
 *
 * const openai = new OpenAI();
 * const pipeline = createAudioPipeline({
 *   transcriber: async (audioBuffer) => {
 *     const response = await openai.audio.transcriptions.create({
 *       file: audioBuffer,
 *       model: 'whisper-1',
 *     });
 *     return response.text;
 *   },
 * });
 *
 * const result = await pipeline.checkAudio(audioFile);
 * console.log(result.containsProfanity);
 * ```
 *
 * @packageDocumentation
 * @module glin-profanity/audio
 */

/**
 * Transcription function type
 * Users provide their own transcription implementation
 */
type TranscriberFunction = (audio: AudioInput) => Promise<string>;
/**
 * Audio input types
 */
type AudioInput = Buffer | Uint8Array | Blob | File | string;
/**
 * Audio pipeline configuration
 */
interface AudioPipelineConfig {
    /** Custom transcription function (REQUIRED) */
    transcriber: TranscriberFunction;
    /** Languages for profanity detection */
    languages?: Language[];
    /** Enable leetspeak detection */
    detectLeetspeak?: boolean;
    /** Enable Unicode normalization */
    normalizeUnicode?: boolean;
    /** Custom filter configuration */
    filterConfig?: Partial<FilterConfig>;
}
/**
 * Audio check result
 */
interface AudioCheckResult {
    /** Whether profanity was found */
    containsProfanity: boolean;
    /** Transcribed text from audio */
    transcribedText: string;
    /** Profane words found */
    profaneWords: string[];
    /** Full profanity check result */
    profanityResult: CheckProfanityResult;
    /** Processing time in milliseconds */
    processingTimeMs: number;
    /** Transcription time in milliseconds */
    transcriptionTimeMs: number;
    /** Profanity check time in milliseconds */
    checkTimeMs: number;
}
/**
 * Segment result for timestamped audio
 */
interface AudioSegmentResult {
    /** Segment index */
    index: number;
    /** Start time in seconds */
    startTime: number;
    /** End time in seconds */
    endTime: number;
    /** Transcribed text for this segment */
    text: string;
    /** Whether this segment contains profanity */
    containsProfanity: boolean;
    /** Profane words in this segment */
    profaneWords: string[];
}
/**
 * Creates an audio profanity checking pipeline
 *
 * @example
 * ```typescript
 * // With OpenAI Whisper
 * const pipeline = createAudioPipeline({
 *   transcriber: async (audio) => {
 *     const formData = new FormData();
 *     formData.append('file', audio);
 *     formData.append('model', 'whisper-1');
 *
 *     const response = await fetch('https://api.openai.com/v1/audio/transcriptions', {
 *       method: 'POST',
 *       headers: { 'Authorization': `Bearer ${process.env.OPENAI_API_KEY}` },
 *       body: formData,
 *     });
 *     const data = await response.json();
 *     return data.text;
 *   },
 * });
 *
 * // With Google Cloud Speech-to-Text
 * const pipeline = createAudioPipeline({
 *   transcriber: async (audio) => {
 *     // Your Google STT implementation
 *     return transcribedText;
 *   },
 * });
 * ```
 */
declare function createAudioPipeline(config: AudioPipelineConfig): {
    /**
     * Check audio for profanity
     */
    checkAudio(audio: AudioInput): Promise<AudioCheckResult>;
    /**
     * Check multiple audio files
     */
    checkMultiple(audios: AudioInput[]): Promise<AudioCheckResult[]>;
    /**
     * Check pre-transcribed text (if you already have transcription)
     */
    checkTranscript(text: string): CheckProfanityResult;
    /**
     * Check timestamped segments (for Whisper with timestamps)
     *
     * @example
     * ```typescript
     * const segments = [
     *   { startTime: 0, endTime: 5, text: 'Hello everyone' },
     *   { startTime: 5, endTime: 10, text: 'This is a test' },
     * ];
     * const results = pipeline.checkSegments(segments);
     * const flaggedSegments = results.filter(s => s.containsProfanity);
     * ```
     */
    checkSegments(segments: Array<{
        startTime: number;
        endTime: number;
        text: string;
    }>): AudioSegmentResult[];
    /**
     * Censor transcribed text
     */
    censorTranscript(text: string, replacement?: string): string;
    /**
     * Get the underlying filter instance
     */
    getFilter(): Filter;
};
/**
 * Creates a transcriber function for OpenAI Whisper API
 *
 * @example
 * ```typescript
 * const transcriber = createWhisperTranscriber({
 *   apiKey: process.env.OPENAI_API_KEY,
 *   model: 'whisper-1',
 * });
 *
 * const pipeline = createAudioPipeline({ transcriber });
 * ```
 */
declare function createWhisperTranscriber(config: {
    apiKey: string;
    model?: string;
    baseUrl?: string;
    language?: string;
}): TranscriberFunction;
/**
 * Creates a transcriber function for Google Cloud Speech-to-Text
 *
 * @example
 * ```typescript
 * const transcriber = createGoogleSTTTranscriber({
 *   apiKey: process.env.GOOGLE_API_KEY,
 *   languageCode: 'en-US',
 * });
 *
 * const pipeline = createAudioPipeline({ transcriber });
 * ```
 */
declare function createGoogleSTTTranscriber(config: {
    apiKey: string;
    languageCode?: string;
    enableAutomaticPunctuation?: boolean;
    profanityFilter?: boolean;
}): TranscriberFunction;
/**
 * Real-time audio stream checker
 * For live audio moderation (e.g., voice chat, podcasts)
 *
 * @example
 * ```typescript
 * const streamChecker = createRealtimeChecker({
 *   transcriber: myTranscriber,
 *   onProfanityDetected: (result) => {
 *     console.log('Profanity detected:', result.profaneWords);
 *     // Trigger beep, mute, or warning
 *   },
 * });
 *
 * // Feed audio chunks as they arrive
 * audioStream.on('data', (chunk) => {
 *   streamChecker.processChunk(chunk);
 * });
 *
 * // Get summary when done
 * const summary = streamChecker.getSummary();
 * ```
 */
declare function createRealtimeChecker(config: {
    transcriber: TranscriberFunction;
    onProfanityDetected?: (result: AudioCheckResult) => void;
    bufferDurationMs?: number;
    languages?: Language[];
    detectLeetspeak?: boolean;
}): {
    /**
     * Process an audio chunk
     */
    processChunk(chunk: AudioInput): Promise<AudioCheckResult>;
    /**
     * Get summary of all processed chunks
     */
    getSummary(): {
        totalChunks: number;
        flaggedChunks: number;
        cleanChunks: number;
        flagRate: number;
        allProfaneWords: string[];
        fullTranscript: string;
    };
    /**
     * Reset the checker state
     */
    reset(): void;
};

export { type AudioCheckResult, type AudioInput, type AudioPipelineConfig, type AudioSegmentResult, CheckProfanityResult, FilterConfig, Language, type TranscriberFunction, createAudioPipeline, createGoogleSTTTranscriber, createRealtimeChecker, createWhisperTranscriber };