PR#13
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Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
…3c-03f766e29c60 Enhance overall usability and add comprehensive features for better user experience
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
…46-1b2211501787 Add comprehensive performance testing and optimization features
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Summary of Changes
Hello @GizzZmo, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request significantly enhances the application's performance monitoring and testing capabilities, particularly for AI-related features. It introduces a new PerformanceTester utility that enables detailed measurement, benchmarking, and load testing of various operations. The AI Manager Dashboard now provides real-time system performance insights and aggregated AI task metrics, while the Prompt Editor gains a dedicated interface for benchmarking and load testing different prompt optimization strategies. These changes aim to provide developers and users with better visibility into system performance and facilitate data-driven optimization decisions.
Highlights
- Introduction of Performance Testing Utility: A new
PerformanceTesterutility has been introduced, providing comprehensive tools for measuring code execution time, benchmarking specific operations, and simulating load tests. This utility is designed to help developers assess and improve the performance of AI-related functionalities. - Enhanced AI Manager Dashboard with Performance Monitoring: The AI Manager Dashboard now integrates real-time system performance metrics, including memory usage, and displays aggregated statistics like average response time, success rate, and cost for AI task executions. This enhancement provides a clearer overview of the system's health and efficiency.
- Prompt Optimization Benchmarking Capabilities: A dedicated 'Performance Benchmark' component has been added to the Prompt Editor, allowing users to run benchmarks and load tests on different prompt optimization strategies. This enables direct comparison and evaluation of various approaches under simulated conditions.
- API and Type Definition Updates for Performance Data: The application's data types and API interactions have been updated to support the new performance metrics. This includes extending prompt evaluation results with performance data and standardizing API responses for better error handling and data consistency.
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Pull Request Overview
This PR adds comprehensive performance testing and monitoring capabilities to the prompt optimization system. The changes include new performance testing utilities, benchmark components, and enhanced API error handling with mock data support.
- Introduces a complete performance testing framework with benchmarking and load testing capabilities
- Adds performance monitoring to the AI Manager Dashboard with real-time metrics
- Updates API functions to return structured responses with error handling and mock data
- Integrates performance measurement into prompt optimization and evaluation workflows
Reviewed Changes
Copilot reviewed 6 out of 6 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| src/utils/performance.ts | New comprehensive performance testing utility with benchmarking, load testing, and metrics collection |
| src/utils/api.ts | Enhanced API functions with structured error handling and mock data generation |
| src/types/prompt.ts | Extended prompt evaluation types with performance metrics and new optimization strategies |
| src/pages/PromptEditor/components/PromptOptimizationSettings.tsx | Integrated performance measurement into optimization workflows |
| src/pages/PromptEditor/components/PerformanceBenchmark.tsx | New component for running and displaying performance benchmarks |
| src/pages/AIToolkit/components/AIManagerDashboard.tsx | Enhanced dashboard with real-time performance monitoring and metrics display |
Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.
| stopMeasurement(); | ||
| alert(`Optimization failed: ${error instanceof Error ? error.message : 'Unknown error'}`); | ||
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| setIsOptimizing(true); |
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The setIsOptimizing(true) call is unreachable code. The function returns early after the try-catch block above, so this line and the subsequent optimization logic will never execute.
| } catch (error) { | ||
| stopMeasurement(); | ||
| alert(`Evaluation failed: ${error instanceof Error ? error.message : 'Unknown error'}`); | ||
| ======= |
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Git merge conflict marker is present in the code. This indicates an incomplete merge resolution that will cause syntax errors.
| collectSystemMetrics(); | ||
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| // Set up periodic metrics collection, only if not paused | ||
| if (!metricsPaused) { |
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The variables metricsPaused and metricsIntervalMs are referenced but not defined in this component. This will cause runtime errors.
| return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i]; | ||
| }; | ||
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| const avgMetrics = useMemo(() => { |
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The useMemo hook is used but React hooks are not imported. This will cause a runtime error.
| const response = await request<PromptEvaluationResult>(`/prompts/${promptId}/evaluate`, { | ||
| method: 'POST', | ||
| headers: { 'Content-Type': 'application/json' }, | ||
| body: JSON.stringify(evaluationResult), |
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The parameter name has changed from metric to evaluationResult but the function signature still shows metric: string. This is an inconsistent API change that could break existing callers.
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Code Review
This pull request introduces significant new functionality for performance monitoring and benchmarking within the AI toolkit. It adds a new performance testing utility, integrates it into the AI Manager Dashboard and Prompt Editor, and expands the data models to include performance metrics. The changes are substantial and valuable.
My review focuses on several critical issues, primarily related to merge conflicts in PromptOptimizationSettings.tsx that have resulted in duplicated code and syntax errors. These must be addressed. I've also identified a critical runtime error in AIManagerDashboard.tsx due to undefined variables. Other suggestions focus on improving code robustness, user experience by replacing alert with useToast, and making simulations more realistic.
| if (!metricsPaused) { | ||
| const intervalId = setInterval(collectSystemMetrics, metricsIntervalMs); | ||
| return () => clearInterval(intervalId); | ||
| } | ||
| // If paused, no interval | ||
| return undefined; | ||
| }, [metricsIntervalMs, metricsPaused]); |
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The useEffect hook has dependencies on metricsPaused and metricsIntervalMs, but these variables are not defined within the component's scope. This will lead to a reference error at runtime. These values should be introduced as component state or passed down as props.
// Set up periodic metrics collection, only if not paused
if (!metricsPaused) {
const intervalId = setInterval(collectSystemMetrics, metricsIntervalMs);
return () => clearInterval(intervalId);
}
// If paused, no interval
return undefined;
}, [metricsIntervalMs, metricsPaused]);
| } catch (error) { | ||
| console.warn('Failed to fetch execution logs'); | ||
| return []; | ||
| console.warn('Failed to fetch execution logs, generating mock data'); | ||
| // Return mock data for demonstration | ||
| return [ | ||
| { | ||
| id: 'log_1', | ||
| workflowId: 'workflow_1', | ||
| taskId: 'task_abc123', | ||
| timestamp: new Date(Date.now() - 300000).toISOString(), | ||
| status: 'completed', | ||
| success: true, | ||
| startTime: new Date(Date.now() - 300000).toISOString(), | ||
| endTime: new Date(Date.now() - 299500).toISOString(), | ||
| durationMs: 500, | ||
| cost: 0.0234 | ||
| }, | ||
| { | ||
| id: 'log_2', | ||
| workflowId: 'workflow_2', | ||
| taskId: 'task_def456', | ||
| timestamp: new Date(Date.now() - 600000).toISOString(), | ||
| status: 'completed', | ||
| success: true, | ||
| startTime: new Date(Date.now() - 600000).toISOString(), | ||
| endTime: new Date(Date.now() - 599200).toISOString(), | ||
| durationMs: 800, | ||
| cost: 0.0456 | ||
| }, | ||
| { | ||
| id: 'log_3', | ||
| workflowId: 'workflow_3', | ||
| taskId: 'task_ghi789', | ||
| timestamp: new Date(Date.now() - 900000).toISOString(), | ||
| status: 'failed', | ||
| success: false, | ||
| startTime: new Date(Date.now() - 900000).toISOString(), | ||
| endTime: new Date(Date.now() - 898000).toISOString(), | ||
| durationMs: 2000, | ||
| cost: 0.0123, | ||
| error: 'API timeout' | ||
| } | ||
| ]; | ||
| } |
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This function returns mock data when the API call to fetch execution logs fails. While this is useful for development, it can mask backend problems in a production environment. This behavior should ideally be controlled by an environment variable or a feature flag, so it can be disabled in production builds.
| measureMemory(id: string): PerformanceMetric { | ||
| interface MemoryInfo { | ||
| usedJSHeapSize: number; | ||
| totalJSHeapSize?: number; | ||
| jsHeapSizeLimit?: number; | ||
| } | ||
| const memoryInfo = typeof performance !== "undefined" && "memory" in performance | ||
| ? (performance.memory as MemoryInfo) | ||
| : undefined; | ||
| const metric: PerformanceMetric = { | ||
| id, | ||
| name: 'Memory Usage', | ||
| value: memoryInfo && typeof memoryInfo.usedJSHeapSize === "number" ? memoryInfo.usedJSHeapSize : 0, | ||
| unit: 'bytes', | ||
| timestamp: new Date().toISOString(), | ||
| metadata: memoryInfo | ||
| }; | ||
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| this.metrics.push(metric); | ||
| return metric; | ||
| } |
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When performance.memory is unavailable, this function returns 0. This can be misleading, as it suggests zero memory usage rather than an inability to measure it. It would be more robust to return null and have the calling code handle the absence of a metric. This would require updating the function signature to return PerformanceMetric | null and adjusting the calling code in AIManagerDashboard.tsx to check for a null value before processing.
…cd-a73842b57098 Add comprehensive GitHub badges to README.md
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
…der, and performance utilities Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
…76-96e02caaa6cb Fix TypeScript compilation errors across multiple components and utilities
Merge pull request #18 from GizzZmo/copilot/fix-50d4463f-3d18-4bb9-ae…
…76-96e02caaa6cb Merge pull request #20 from GizzZmo/main
…structure Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…2a-04dcf1e58fc6 Update documentation: Fix formatting issues and enhance project information
Add comprehensive GitHub Copilot instructions for Master Prompt Editor development workflow
…4b-fea8dce71398
[WIP] Update your tsconfig.json:
Set the module option to one of the supported values, such as "es2020" or "esnext".
JSON
{
"compilerOptions": {
"module": "es2020",
// other options
}
}
Fix the ImportMeta typing:
If you need to use import.meta....
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
Co-authored-by: GizzZmo <8039975+GizzZmo@users.noreply.github.com>
…16-602190d3e6c4 Fix CI pipeline TypeScript configuration errors for Vite and monorepo builds
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
GizzZmo
merged commit b4d4439
into
copilot/fix-b7c82d9a-8509-4328-8f3c-03f766e29c60
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