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feat: add comprehensive performance benchmark tracking system
- Create benchmark test suites for critical operations: - Node loading performance - Database query performance - Search operations performance - Validation performance - MCP tool execution performance - Add GitHub Actions workflow for benchmark tracking: - Runs on push to main and PRs - Uses github-action-benchmark for historical tracking - Comments on PRs with performance results - Alerts on >10% performance regressions - Stores results in GitHub Pages - Create benchmark infrastructure: - Custom Vitest benchmark configuration - JSON reporter for CI results - Result formatter for github-action-benchmark - Performance threshold documentation - Add supporting utilities: - SQLiteStorageService for benchmark database setup - MCPEngine wrapper for testing MCP tools - Test factories for generating benchmark data - Enhanced NodeRepository with benchmark methods - Document benchmark system: - Comprehensive benchmark guide in docs/BENCHMARKS.md - Performance thresholds in .github/BENCHMARK_THRESHOLDS.md - README for benchmarks directory - Integration with existing test suite The benchmark system will help monitor performance over time and catch regressions before they reach production. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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tests/factories/property-definition-factory.ts
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tests/factories/property-definition-factory.ts
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import { Factory } from 'fishery';
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import { faker } from '@faker-js/faker';
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interface PropertyDefinition {
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name: string;
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displayName: string;
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type: string;
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default?: any;
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required?: boolean;
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description?: string;
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options?: any[];
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}
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export const PropertyDefinitionFactory = Factory.define<PropertyDefinition>(() => ({
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name: faker.helpers.camelCase(faker.word.noun() + ' ' + faker.word.adjective()),
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displayName: faker.helpers.arrayElement(['URL', 'Method', 'Headers', 'Body', 'Authentication']),
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type: faker.helpers.arrayElement(['string', 'number', 'boolean', 'options', 'json']),
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default: faker.datatype.boolean() ? faker.word.sample() : undefined,
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required: faker.datatype.boolean(),
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description: faker.lorem.sentence(),
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options: faker.datatype.boolean() ? [
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{
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name: faker.word.noun(),
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value: faker.word.noun(),
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description: faker.lorem.sentence()
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}
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] : undefined
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}));
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