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/**
* Solution 4: Batch Processing
*
* This solution demonstrates:
* - Parallel execution with batch()
* - Performance comparison vs sequential
* - Error handling in parallel operations
* - Understanding Promise.all() behavior
*/
import { Runnable } from '../../../../src/index.js';
/**
* DelayedMultiplierRunnable - Multiplies with a delay
*/
class DelayedMultiplierRunnable extends Runnable {
constructor(factor, delayMs = 100) {
super();
this.factor = factor;
this.delayMs = delayMs;
}
async _call(input, config) {
if (typeof input !== 'number') {
throw new Error(`Input must be a number, got ${typeof input}`);
}
// Log if in debug mode
if (config?.debug) {
console.log(` Processing ${input} (will take ${this.delayMs}ms)...`);
}
// Simulate async work (like LLM inference or API call)
await new Promise(resolve => setTimeout(resolve, this.delayMs));
const result = input * this.factor;
if (config?.debug) {
console.log(` Completed ${input} → ${result}`);
}
return result;
}
toString() {
return `DelayedMultiplier(×${this.factor}, ${this.delayMs}ms)`;
}
}
/**
* Process inputs sequentially (one at a time)
*/
async function processSequentially(runnable, inputs) {
const results = [];
for (const input of inputs) {
const result = await runnable.invoke(input);
results.push(result);
}
return results;
}
/**
* Process inputs in parallel (all at once)
*/
async function processInParallel(runnable, inputs) {
// This is exactly what batch() does internally
return await runnable.batch(inputs);
}
/**
* Bonus: Process in chunks (controlled parallelism)
*/
async function processInChunks(runnable, inputs, chunkSize = 3) {
const results = [];
// Process in chunks to avoid overwhelming the system
for (let i = 0; i < inputs.length; i += chunkSize) {
const chunk = inputs.slice(i, i + chunkSize);
const chunkResults = await runnable.batch(chunk);
results.push(...chunkResults);
}
return results;
}
// ============================================================================
// Tests
// ============================================================================
async function runTests() {
console.log('🧪 Testing Batch Processing Solution...\n');
try {
// Test 1: Basic batch processing
console.log('Test 1: Basic batch processing');
const multiplier = new DelayedMultiplierRunnable(2, 100);
const inputs = [1, 2, 3, 4, 5];
const startTime = Date.now();
const results = await multiplier.batch(inputs);
const duration = Date.now() - startTime;
console.log(` Inputs: [${inputs.join(', ')}]`);
console.log(` Results: [${results.join(', ')}]`);
console.log(` Time: ${duration}ms`);
console.assert(results.length === 5, 'Should have 5 results');
console.assert(results[0] === 2, 'First result should be 2');
console.assert(results[4] === 10, 'Last result should be 10');
console.assert(duration < 200, 'Should complete in ~100ms (parallel), not 500ms (sequential)');
console.log('✅ Batch processing works!\n');
// Test 2: Compare sequential vs parallel
console.log('Test 2: Sequential vs Parallel comparison');
const runnable = new DelayedMultiplierRunnable(3, 100);
const testInputs = [1, 2, 3, 4, 5];
console.log(' Processing sequentially...');
const seqStart = Date.now();
const seqResults = await processSequentially(runnable, testInputs);
const seqDuration = Date.now() - seqStart;
console.log(` Sequential: ${seqDuration}ms (${testInputs.length} × 100ms)`);
console.log(' Processing in parallel...');
const parStart = Date.now();
const parResults = await processInParallel(runnable, testInputs);
const parDuration = Date.now() - parStart;
console.log(` Parallel: ${parDuration}ms (max of all operations)`);
const speedup = (seqDuration / parDuration).toFixed(1);
console.log(` Speedup: ${speedup}x faster 🚀`);
console.assert(
JSON.stringify(seqResults) === JSON.stringify(parResults),
'Results should be identical'
);
console.assert(parDuration < seqDuration / 2, 'Parallel should be much faster');
console.log('✅ Parallel is significantly faster!\n');
// Test 3: Large batch
console.log('Test 3: Large batch (10 items)');
const largeBatch = Array.from({ length: 10 }, (_, i) => i + 1);
const startLarge = Date.now();
const largeResults = await multiplier.batch(largeBatch);
const durationLarge = Date.now() - startLarge;
console.log(` Input: [1, 2, 3, ..., 10]`);
console.log(` Processed ${largeBatch.length} items in ${durationLarge}ms`);
console.log(` Sequential would take: ~${largeBatch.length * 100}ms`);
console.log(` Actual time: ${durationLarge}ms`);
console.assert(largeResults.length === 10, 'Should process all items');
console.assert(durationLarge < 200, 'Should complete quickly due to parallelism');
console.log('✅ Large batch works!\n');
// Test 4: Batch with errors
console.log('Test 4: Error handling in batch');
const mixedInputs = [1, 2, 'invalid', 4, 5];
try {
await multiplier.batch(mixedInputs);
console.log('❌ Should have thrown an error');
} catch (error) {
console.log(` Caught error: ${error.message}`);
console.log(` Note: When one fails, all fail (Promise.all behavior)`);
console.log('✅ Errors are caught in batch processing!\n');
}
// Test 5: Empty batch
console.log('Test 5: Empty batch');
const emptyResults = await multiplier.batch([]);
console.assert(emptyResults.length === 0, 'Empty batch should return empty array');
console.log('✅ Empty batch handled correctly!\n');
// Test 6: Batch with pipeline
console.log('Test 6: Batch through a pipeline');
class AddConstant extends Runnable {
constructor(constant) {
super();
this.constant = constant;
}
async _call(input) {
await new Promise(resolve => setTimeout(resolve, 50));
return input + this.constant;
}
}
const pipeline = new DelayedMultiplierRunnable(2, 50)
.pipe(new AddConstant(10));
const pipelineInputs = [1, 2, 3];
const startPipeline = Date.now();
const pipelineResults = await pipeline.batch(pipelineInputs);
const durationPipeline = Date.now() - startPipeline;
console.log(` Inputs: [${pipelineInputs.join(', ')}]`);
console.log(` Results: [${pipelineResults.join(', ')}]`);
console.log(` Expected: [12, 14, 16] (×2, then +10)`);
console.log(` Time: ${durationPipeline}ms`);
console.log(` Sequential: would take ~${pipelineInputs.length * 100}ms`);
console.assert(pipelineResults[0] === 12, 'First should be 12');
console.assert(pipelineResults[2] === 16, 'Last should be 16');
console.log('✅ Batch works through pipelines!\n');
// Test 7: Chunked processing
console.log('Test 7: Chunked processing (controlled parallelism)');
const manyInputs = Array.from({ length: 12 }, (_, i) => i + 1);
console.log(' Processing 12 items in chunks of 3...');
const startChunked = Date.now();
const chunkedResults = await processInChunks(
new DelayedMultiplierRunnable(2, 100),
manyInputs,
3 // chunk size
);
const durationChunked = Date.now() - startChunked;
console.log(` Time: ${durationChunked}ms`);
console.log(` Expected: ~400ms (4 chunks × 100ms each)`);
console.log(` All parallel would be: ~100ms`);
console.log(` Sequential would be: ~1200ms`);
console.assert(chunkedResults.length === 12, 'Should process all items');
console.assert(
durationChunked > 300 && durationChunked < 600,
'Should take time for 4 chunks'
);
console.log('✅ Chunked processing works!\n');
// Test 8: Debug mode
console.log('Test 8: Debug mode to see parallel execution');
const debugMultiplier = new DelayedMultiplierRunnable(5, 100);
console.log(' Watch items process in parallel:');
await debugMultiplier.batch([1, 2, 3], { debug: true });
console.log('✅ Debug mode shows parallel execution!\n');
// Test 9: Performance metrics
console.log('Test 9: Detailed performance analysis');
const sizes = [1, 2, 5, 10];
const delay = 100;
console.log(' Items | Sequential | Parallel | Speedup');
console.log(' ------|------------|----------|--------');
for (const size of sizes) {
const inputs = Array.from({ length: size }, (_, i) => i + 1);
const perf = new DelayedMultiplierRunnable(2, delay);
const seqStart = Date.now();
await processSequentially(perf, inputs);
const seqTime = Date.now() - seqStart;
const parStart = Date.now();
await processInParallel(perf, inputs);
const parTime = Date.now() - parStart;
const speedup = (seqTime / parTime).toFixed(1);
console.log(` ${size.toString().padStart(5)} | ${seqTime.toString().padStart(10)}ms | ${parTime.toString().padStart(8)}ms | ${speedup.padStart(6)}x`);
}
console.log('✅ Performance scales with parallelism!\n');
console.log('🎉 All tests passed!');
console.log('\n💡 Key Learnings:');
console.log(' • batch() uses Promise.all() for parallel execution');
console.log(' • N items with 100ms delay: sequential = N×100ms, parallel = 100ms');
console.log(' • One error in batch causes all to fail');
console.log(' • Chunked processing balances speed and resource usage');
console.log(' • Pipelines work with batch processing');
console.log(' • Perfect for processing multiple LLM requests simultaneously');
} catch (error) {
console.error('❌ Test failed:', error.message);
console.error(error.stack);
}
}
// Run tests
if (import.meta.url === `file://${process.argv[1]}`) {
runTests();
}
export {
DelayedMultiplierRunnable,
processSequentially,
processInParallel,
processInChunks
}; |