Files
KVideo/app/api/search-parallel/route.ts
T
2025-12-24 23:53:24 +08:00

151 lines
4.6 KiB
TypeScript

/**
* Parallel Streaming Search API Route
* Searches all sources in parallel and streams results immediately as they arrive
* No waiting - results flow in real-time
*/
import { NextRequest } from 'next/server';
import { searchVideos } from '@/lib/api/client';
import { getSourceById } from '@/lib/api/video-sources';
import { getSourceName } from '@/lib/utils/source-names';
export const runtime = 'edge';
export async function POST(request: NextRequest) {
const encoder = new TextEncoder();
const stream = new ReadableStream({
async start(controller) {
try {
const body = await request.json();
const { query, sources: sourceConfigs, page = 1 } = body;
// Validate input
if (!query || typeof query !== 'string' || query.trim().length === 0) {
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'error',
message: 'Invalid query'
})}\n\n`));
controller.close();
return;
}
// Use provided sources or fallback to empty (client should provide them)
const sources = Array.isArray(sourceConfigs) && sourceConfigs.length > 0
? sourceConfigs
: [];
if (sources.length === 0) {
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'error',
message: 'No valid sources provided'
})}\n\n`));
controller.close();
return;
}
// Send initial status
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'start',
totalSources: sources.length
})}\n\n`));
// Track progress
let completedSources = 0;
let totalVideosFound = 0;
// Search all sources in PARALLEL - don't wait for all to finish
const searchPromises = sources.map(async (source: any) => {
const startTime = performance.now(); // Track start time
try {
// Search this source
const result = await searchVideos(query.trim(), [source], page);
const endTime = performance.now(); // Track end time
const latency = Math.round(endTime - startTime); // Calculate latency in ms
const videos = result[0]?.results || [];
completedSources++;
totalVideosFound += videos.length;
// Stream videos immediately as they arrive WITH latency data
if (videos.length > 0) {
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'videos',
videos: videos.map((video: any) => ({
...video,
sourceDisplayName: getSourceName(source.id),
latency, // Add latency to each video
})),
source: source.id,
completedSources,
totalSources: sources.length,
latency, // Also include at source level
})}\n\n`));
}
// Send progress update
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'progress',
completedSources,
totalSources: sources.length,
totalVideosFound
})}\n\n`));
} catch (error) {
const endTime = performance.now();
const latency = Math.round(endTime - startTime);
// Log error but continue with other sources
console.error(`[Search Parallel] Source ${source.id} failed after ${latency}ms:`, error);
completedSources++;
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'progress',
completedSources,
totalSources: sources.length,
totalVideosFound
})}\n\n`));
}
});
// Wait for all sources to complete
await Promise.all(searchPromises);
// Send completion signal
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'complete',
totalVideosFound,
totalSources: sources.length
})}\n\n`));
controller.close();
} catch (error) {
console.error('Search error:', error);
controller.enqueue(encoder.encode(`data: ${JSON.stringify({
type: 'error',
message: error instanceof Error ? error.message : 'Unknown error'
})}\n\n`));
controller.close();
}
}
});
return new Response(stream, {
headers: {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
},
});
}