Files
aidio-description/dist/utils/processor.js

295 lines
15 KiB
JavaScript

"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.generateAudioDescriptionFromOptions = generateAudioDescriptionFromOptions;
exports.generateAudioDescription = generateAudioDescription;
const fs_1 = __importDefault(require("fs"));
const path_1 = __importDefault(require("path"));
const config_1 = require("../config/config");
const stats_1 = require("../config/stats");
const visionProviderFactory_1 = require("../providers/vision/visionProviderFactory");
const ttsProviderFactory_1 = require("../providers/tts/ttsProviderFactory");
const mediaUtils_1 = require("./mediaUtils");
/**
* High-level API: Generate audio description for a video with just options.
* This internally creates providers and stats so callers don't need to.
*
* @param videoFilePath - Path to the input video file
* @param options - Optional configuration overrides
* @returns Result of the operation
*/
async function generateAudioDescriptionFromOptions(videoFilePath, options = {}, processingOptions = {}) {
const config = { ...(0, config_1.getDefaultConfig)(), ...options };
if (!fs_1.default.existsSync(config.tempDir)) {
fs_1.default.mkdirSync(config.tempDir, { recursive: true });
}
if (!fs_1.default.existsSync(config.outputDir)) {
fs_1.default.mkdirSync(config.outputDir, { recursive: true });
}
const visionProvider = visionProviderFactory_1.VisionProviderFactory.getProvider(config);
const ttsProvider = ttsProviderFactory_1.TTSProviderFactory.getProvider(config);
const stats = (0, stats_1.createStats)();
return generateAudioDescription(videoFilePath, visionProvider, ttsProvider, config, stats, processingOptions);
}
/**
* Generate audio description for a video (low-level API requiring pre-initialized providers).
* @param videoFilePath - Path to the input video file
* @param visionProvider - Vision provider instance
* @param ttsProvider - TTS provider instance
* @param options - Optional configuration overrides
* @param stats - Stats object for tracking
* @returns Result of the operation
*/
async function generateAudioDescription(videoFilePath, visionProvider, ttsProvider, options = {}, stats, processingOptions = {}) {
// Merge provided options with defaults
const settings = { ...options };
// Ensure temporary and output directories exist
if (!fs_1.default.existsSync(settings.tempDir)) {
fs_1.default.mkdirSync(settings.tempDir, { recursive: true });
}
if (!fs_1.default.existsSync(settings.outputDir)) {
fs_1.default.mkdirSync(settings.outputDir, { recursive: true });
}
// Get video duration
const videoDuration = (0, mediaUtils_1.getVideoDuration)(videoFilePath);
stats.totalFrames = Math.floor(videoDuration / settings.captureIntervalSeconds);
console.log(`Video duration: ${videoDuration} seconds`);
// If batchTimeMode is enabled, use the new approach
if (settings.batchTimeMode) {
return await generateAudioDescriptionBatch(videoFilePath, videoDuration, settings, visionProvider, ttsProvider, stats, processingOptions);
}
// Calculate the number of frames to capture
const totalFrames = Math.floor(videoDuration / settings.captureIntervalSeconds);
console.log(`Will capture ${totalFrames} frames at ${settings.captureIntervalSeconds} second intervals`);
// Context window to store previous frames
const frameContext = [];
// Array to store audio segment information - preload with existing segments if resuming
const audioSegments = processingOptions.existingSegments
? [...processingOptions.existingSegments]
: [];
// Track our current time position (will be adjusted for audio overlap)
let currentTimePosition = processingOptions.currentTimePosition || 0;
// Start from given index if resuming
const startIndex = processingOptions.startIndex || 0;
// Track drift from the original schedule
let timelineDrift = 0;
const maxAllowableDrift = settings.captureIntervalSeconds * 2; // Maximum drift before warning
// Process each frame
for (let i = startIndex; i < totalFrames; i++) {
// Calculate the ideal time position based on the original schedule
const idealTimePosition = i * settings.captureIntervalSeconds;
// Use the adjusted time position that accounts for previous audio durations
const timePosition = currentTimePosition;
// Calculate drift from the original schedule
timelineDrift = timePosition - idealTimePosition;
// Log if drift is becoming significant
if (Math.abs(timelineDrift) > maxAllowableDrift) {
console.warn(`WARNING: Timeline drift at frame ${i} is ${timelineDrift.toFixed(2)} seconds.`);
}
const frameFilePath = path_1.default.join(settings.tempDir, `frame_${i.toString().padStart(5, '0')}.jpg`);
// Capture frame at current time position (use the ideal time to capture the frame)
(0, mediaUtils_1.captureVideoFrame)(videoFilePath, idealTimePosition, frameFilePath);
console.log(`Captured frame at ${idealTimePosition} seconds (scheduled at ${timePosition.toFixed(2)} seconds)`);
// Add current frame to context
const currentFrame = {
index: i,
path: frameFilePath,
timePosition
};
frameContext.push(currentFrame);
// Keep context window at specified size
if (frameContext.length > settings.contextWindowSize) {
frameContext.shift();
}
// Generate description
let description;
let usageStats;
if (frameContext.length === 1) {
// First frame - just describe what's in it
const result = await visionProvider.describeImage(frameFilePath, settings.defaultPrompt);
description = result.description;
usageStats = result.usage;
}
else {
// Compare with previous frame
const previousFrame = frameContext[frameContext.length - 2];
const result = await visionProvider.compareImages(previousFrame.path, frameFilePath, settings.changePrompt);
description = result.description;
usageStats = result.usage;
}
// Update stats
stats.totalVisionInputCost += usageStats.inputTokens;
stats.totalVisionOutputCost += usageStats.outputTokens;
stats.totalCost += usageStats.totalTokens;
console.log(`Description: ${description}`);
// Generate speech from description
const audioFilePath = path_1.default.join(settings.tempDir, `audio_${i.toString().padStart(5, '0')}.mp3`);
const ttsResult = await ttsProvider.textToSpeech(description, audioFilePath, {
voice: settings.ttsVoice,
model: settings.ttsProviders[settings.ttsProvider].model,
speedFactor: settings.ttsSpeedFactor,
instructions: settings.ttsInstructions
});
const audioDuration = ttsResult.duration;
stats.totalTTSCost += ttsResult.cost;
console.log(`Audio duration: ${audioDuration} seconds`);
// Store segment information
const segment = {
audioFile: audioFilePath,
startTime: timePosition,
duration: audioDuration,
description
};
audioSegments.push(segment);
// Notify progress callback
if (processingOptions.onProgress) {
processingOptions.onProgress({
type: 'frame',
index: i,
total: totalFrames,
segment
});
}
// Update the time position for the next iteration
// Add a small buffer (0.25 sec) between descriptions to prevent hard cuts
const bufferTime = 0.25;
currentTimePosition = timePosition + audioDuration + bufferTime;
// If we've fallen behind schedule, try to catch up (but don't skip content)
const nextIdealPosition = (i + 1) * settings.captureIntervalSeconds;
if (currentTimePosition < nextIdealPosition) {
console.log(`Audio finished before next scheduled frame. Catching up with timeline.`);
currentTimePosition = nextIdealPosition;
timelineDrift = 0; // Reset drift since we've caught up
}
}
// Combine audio segments into final audio description track
const outputAudioPath = path_1.default.join(settings.outputDir, `${path_1.default.basename(videoFilePath, path_1.default.extname(videoFilePath))}_description.mp3`);
(0, mediaUtils_1.combineAudioSegments)(audioSegments, outputAudioPath, videoDuration, settings);
// Clean up temporary files if desired
// cleanupTempFiles(settings.tempDir);
console.log(`\nAudio description generated: ${outputAudioPath}`);
console.log(`To play with video, use: ffplay -i ${videoFilePath} -i ${outputAudioPath} -map 0:v -map 1:a`);
(0, stats_1.printStats)(stats, settings);
return {
videoFile: videoFilePath,
audioDescriptionFile: outputAudioPath,
segments: audioSegments
};
}
/**
* Generate audio description using the "batch time" mode with overlap prevention.
* @param videoFilePath - Path to the input video file
* @param videoDuration - Duration of the video in seconds
* @param settings - The merged config and user options
* @param visionProvider - The vision provider instance
* @param ttsProvider - The TTS provider instance
* @param stats - Stats object for tracking
*/
async function generateAudioDescriptionBatch(videoFilePath, videoDuration, settings, visionProvider, ttsProvider, stats, processingOptions = {}) {
const totalBatches = Math.floor(videoDuration / settings.batchWindowDuration);
console.log(`Using batchTimeMode. Total batches: ${totalBatches} (each covers ${settings.batchWindowDuration} sec)`);
// We'll hold the last batch's frames or last batch's description for context
let lastBatchContext = processingOptions.lastContext || {};
// Preload with existing segments if resuming
const audioSegments = processingOptions.existingSegments
? [...processingOptions.existingSegments]
: [];
// Track our current time position (will be adjusted for audio overlap)
let currentTimePosition = processingOptions.currentTimePosition || 0;
// Start from given index if resuming
const startBatchIndex = processingOptions.startIndex || 0;
// Track drift from the original schedule
let timelineDrift = 0;
const maxAllowableDrift = settings.batchWindowDuration * 0.5; // Maximum drift of 50% of batch window
for (let batchIndex = startBatchIndex; batchIndex < totalBatches; batchIndex++) {
// Calculate ideal batch timing based on configuration
const idealBatchStart = batchIndex * settings.batchWindowDuration;
// Use adjusted time position that accounts for previous audio durations
const batchStart = currentTimePosition;
// Calculate drift from the original schedule
timelineDrift = batchStart - idealBatchStart;
// Log if drift is becoming significant
if (Math.abs(timelineDrift) > maxAllowableDrift) {
console.warn(`WARNING: Timeline drift at batch ${batchIndex} is ${timelineDrift.toFixed(2)} seconds.`);
}
const batchEnd = idealBatchStart + settings.batchWindowDuration;
if (batchEnd > videoDuration)
break; // Safety check
console.log(`Processing batch #${batchIndex}: Original time window ${idealBatchStart}-${batchEnd} sec, scheduled at ${batchStart.toFixed(2)} sec`);
// Capture frames for this batch - use the ideal timing for frame capture
const framePaths = [];
for (let i = 0; i < settings.framesInBatch; i++) {
const t = idealBatchStart + (i * settings.batchWindowDuration) / settings.framesInBatch;
const frameFilePath = path_1.default.join(settings.tempDir, `batch_${batchIndex}_frame_${i}.jpg`);
(0, mediaUtils_1.captureVideoFrame)(videoFilePath, t, frameFilePath);
framePaths.push(frameFilePath);
}
// Use AI to describe this batch of frames, possibly providing some context
const result = await visionProvider.describeBatch(framePaths, lastBatchContext, settings.batchPrompt);
const description = result.description;
const usageStats = result.usage;
// Update stats
stats.totalVisionInputCost += usageStats.inputTokens;
stats.totalVisionOutputCost += usageStats.outputTokens;
stats.totalCost += usageStats.totalTokens;
console.log(`Batch #${batchIndex} description:\n${description}\n`);
// Convert description to TTS
const audioFilePath = path_1.default.join(settings.tempDir, `batch_audio_${batchIndex}.mp3`);
const ttsResult = await ttsProvider.textToSpeech(description, audioFilePath, {
voice: settings.ttsVoice,
model: settings.ttsProviders[settings.ttsProvider].model,
speedFactor: settings.ttsSpeedFactor,
instructions: settings.ttsInstructions
});
const audioDuration = ttsResult.duration;
stats.totalTTSCost += ttsResult.cost;
console.log(`Batch #${batchIndex} audio duration: ${audioDuration} seconds`);
// Store segment info with the adjusted start time
const segment = {
audioFile: audioFilePath,
startTime: batchStart,
duration: audioDuration,
description
};
audioSegments.push(segment);
// Notify progress callback
if (processingOptions.onProgress) {
processingOptions.onProgress({
type: 'batch',
index: batchIndex,
total: totalBatches,
segment
});
}
// Update the time position for the next iteration
// Add a small buffer (0.5 sec) between descriptions
const bufferTime = 0.5;
currentTimePosition = batchStart + audioDuration + bufferTime;
// If we've fallen behind schedule, try to catch up (but don't skip content)
const nextIdealPosition = (batchIndex + 1) * settings.batchWindowDuration;
if (currentTimePosition < nextIdealPosition) {
console.log(`Batch audio finished before next scheduled batch. Catching up with timeline.`);
currentTimePosition = nextIdealPosition;
timelineDrift = 0; // Reset drift since we've caught up
}
// Update lastBatchContext so the next batch can keep track of what's previously seen
lastBatchContext = {
lastDescription: description,
lastFramePaths: framePaths.slice(-2) // keep the last 2 frames from this batch
};
}
// Combine all the audio segments into one track
const outputAudioPath = path_1.default.join(settings.outputDir, `${path_1.default.basename(videoFilePath, path_1.default.extname(videoFilePath))}_description_batch.mp3`);
(0, mediaUtils_1.combineAudioSegments)(audioSegments, outputAudioPath, videoDuration, settings);
console.log(`\nBatch audio description generated: ${outputAudioPath}`);
console.log(`To play with video, use: ffplay -i ${videoFilePath} -i ${outputAudioPath} -map 0:v -map 1:a`);
(0, stats_1.printStats)(stats, settings);
return {
videoFile: videoFilePath,
audioDescriptionFile: outputAudioPath,
segments: audioSegments
};
}
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