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@ggfevans ggfevans commented Dec 30, 2025

Summary

  • Add performance test harness (scripts/performance-benchmark.ts) for generating test data at various device and port count scenarios
  • Create baseline documentation (docs/research/performance-baseline.md) with:
    • SVG element count analysis for current components
    • Performance targets (16ms for 60fps)
    • Memory budget (50MB for 20 devices with 480 ports)
    • Test methodology for browser measurements

Files Changed

  • scripts/performance-benchmark.ts: Test data generators and benchmark scenarios
  • docs/research/performance-baseline.md: Performance baseline documentation

Test Plan

  • Benchmark script runs successfully: npx tsx scripts/performance-benchmark.ts
  • Documentation is complete with acceptance criteria
  • Performance budget defined based on component analysis

Closes #255

🤖 Generated with Claude Code

Summary by CodeRabbit

  • Documentation

    • Added comprehensive performance baseline documentation for port visualization, including testing methodology, performance budgets, frame budgets for 60fps rendering, and acceptance criteria.
  • Tests

    • Introduced performance benchmarking infrastructure with test harness, scenario generators, and utilities for measuring rendering and memory performance across device and port configurations.

✏️ Tip: You can customize this high-level summary in your review settings.

Add performance test harness and baseline documentation for measuring
render performance before implementing port visualization feature.

- scripts/performance-benchmark.ts: Test data generators for various
  device and port count scenarios
- docs/research/performance-baseline.md: Baseline documentation with
  SVG element counts, performance targets, and test methodology

This establishes benchmarks to measure against after implementing
network interface visualization (#71).

Fixes #255

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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coderabbitai bot commented Dec 30, 2025

📝 Walkthrough

Walkthrough

This pull request establishes a performance baseline for port visualization by introducing comprehensive documentation and a benchmarking script. The documentation defines current rendering metrics, expected element counts, performance budgets, and test methodology. The script provides repeatable data generation and benchmark execution capabilities for measuring rendering performance across various rack configurations.

Changes

Cohort / File(s) Summary
Performance Documentation
docs/research/performance-baseline.md
New comprehensive baseline document covering test methodology, scenarios (empty racks, light/dense loads), baseline measurements (render time, memory), frame budgets (16ms for 60fps), per-element budgets, and optimization strategies (zoom-level rendering, virtualization, CSS containment). Includes guidance on browser instrumentation and acceptance criteria.
Benchmarking Infrastructure
scripts/performance-benchmark.ts
New script introducing data generators (generateDeviceType, generatePlacedDevices, generateTestRack), test scenario definitions, benchmark runner (runBenchmarks), and browser testing guidance. Exports interfaces (TestScenario, BenchmarkResult) and public functions for synthetic data generation and performance measurement.

Sequence Diagram

sequenceDiagram
    participant Test as Test Runner
    participant Gen as Data Generators
    participant Bench as Benchmark Engine
    participant Browser as Browser/DevTools
    participant Report as Results

    Test->>Gen: generateTestRack(deviceCount, portsPerDevice)
    Gen->>Gen: generateDeviceType(index, portCount)
    Gen->>Gen: generatePlacedDevices(count, rackHeight, types)
    Gen-->>Bench: {rack, deviceTypes}
    
    Test->>Bench: runBenchmarks() for each TestScenario
    Bench->>Bench: Measure data generation time
    Bench-->>Report: BenchmarkResult {scenario, deviceCount, dataGenerationMs, ...}
    
    Test->>Browser: printBrowserInstructions()
    Browser->>Browser: Open Chrome DevTools Performance
    Browser->>Browser: Record render, pan/zoom interactions
    Browser-->>Report: Memory usage, interaction latency
    
    Report-->>Test: Consolidated baseline metrics
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~22 minutes

Poem

From the depths of Transylvania's code mines, we rise,
Benchmarks and baselines under software skies,
With 16ms frames and ports galore,
Performance budgets we now explore! 🧛‍♂️✨

Pre-merge checks and finishing touches

❌ Failed checks (1 inconclusive)
Check name Status Explanation Resolution
Linked Issues check ❓ Inconclusive The PR delivers core requirements from #255: baseline document, test harness script, and performance budget. However, actual performance measurements (render times, memory usage, interaction latency) are not captured in the code/documentation. Verify whether baseline measurements (initial render, 10 devices, 240/480 ports, memory usage) are documented in performance-baseline.md, or if issue #255 accepts the framework without initial measurements.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title accurately describes the main change: adding a performance baseline for port visualization, which directly matches the documentation and benchmarking script additions.
Out of Scope Changes check ✅ Passed Both files (performance-baseline.md and performance-benchmark.ts) are directly scoped to the issue requirements: establishing baselines and creating a repeatable test harness.
Docstring Coverage ✅ Passed Docstring coverage is 80.00% which is sufficient. The required threshold is 80.00%.
✨ Finishing touches
  • 📝 Generate docstrings

Comment @coderabbitai help to get the list of available commands and usage tips.

@ggfevans ggfevans merged commit ba0287b into main Dec 30, 2025
3 of 4 checks passed
@ggfevans ggfevans deleted the chore/255-performance-baseline branch December 30, 2025 18:24
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Actionable comments posted: 4

📜 Review details

Configuration used: Organization UI

Review profile: ASSERTIVE

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 7209a86 and c264558.

📒 Files selected for processing (2)
  • docs/research/performance-baseline.md
  • scripts/performance-benchmark.ts
🧰 Additional context used
📓 Path-based instructions (2)
**/*.{ts,tsx,js,svelte}

📄 CodeRabbit inference engine (CLAUDE.md)

Use TypeScript strict mode

Files:

  • scripts/performance-benchmark.ts
**/*.{ts,tsx}

📄 CodeRabbit inference engine (CLAUDE.md)

NetBox-compatible field naming: use snake_case for field names (e.g., u_height, device_type, form_factor) in data models

Files:

  • scripts/performance-benchmark.ts
🧬 Code graph analysis (1)
scripts/performance-benchmark.ts (1)
src/lib/types/index.ts (3)
  • DeviceType (165-235)
  • PlacedDevice (241-274)
  • Rack (283-308)
🪛 LanguageTool
docs/research/performance-baseline.md

[typographical] ~18-~18: If specifying a range, consider using an en dash instead of a hyphen.
Context: ...ion will add significant element count (24-48 elements per device) **Performance Bud...

(HYPHEN_TO_EN)

🪛 markdownlint-cli2 (0.18.1)
docs/research/performance-baseline.md

268-268: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)

🔇 Additional comments (9)
docs/research/performance-baseline.md (3)

1-74: Excellent baseline establishment, my friend!

The executive summary and test methodology sections are vell-structured and comprehensive. The performance budgets (<16ms for 60fps, <50MB heap) align perfectly vith industry standards and the test scenarios cover the critical load patterns from the linked issue.

The browser testing protocol vith CPU throttling and median values from 3 iterations is particularly robust methodology!


77-157: Thorough element counting and realistic performance targets!

The breakdown of SVG elements per component (rack container, device, future ports) provides excellent visibility into vhere the rendering complexity vill come from. The distinction betveen low-density (~48 elements) and high-density (~12 elements vith grouping) port visualization strategies shows good foresight for optimization.

The render performance targets vith both "Target" and "Critical" thresholds give appropriate headroom for implementation trade-offs.


160-267: Comprehensive performance budget and excellent testing guidance!

The frame budget breakdown (8ms scripting, 4ms rendering, 4ms painting) is vell-reasoned, and the optimization strategies (zoom-level rendering, port grouping, virtualization) provide clear escalation paths if budgets are exceeded.

The test harness usage examples vith both TypeScript imports and browser console measurements make this immediately actionable for developers. The DevTools workflow is particularly helpful!

All acceptance criteria marked complete - vell done!

scripts/performance-benchmark.ts (6)

1-20: Clear documentation and proper type imports!

The file header provides excellent context and usage instructions. The type imports correctly reference the core Rackula types from the types module.


78-112: Vell-structured test rack generation!

The function correctly creates unique device types for each device and constructs a complete Rack object. All field names properly follow the snake_case convention for NetBox-compatible fields (desc_units, show_rear, form_factor, starting_unit).

Note: This function vill benefit from the boundary check fix in generatePlacedDevices to ensure all requested devices are placed vhen space permits.


171-205: Benchmark runner implementation looks solid!

The runBenchmarks function correctly measures data generation time using performance.now(), calculates total ports, and provides clear console output. The results are properly structured and returned for further analysis.

The benchmarking approach confirms vhat the documentation states: data generation is negligible (<0.1ms), so performance concerns are entirely in rendering!


211-244: Comprehensive browser testing guidance!

The instructions cover all critical aspects: production build, DevTools usage, metrics to capture (FCP, LCP, TBT), test methodology (cache clearing, incognito, 3 iterations), and performance budgets. This makes the baseline reproducible and actionable!


250-258: Vell-organized exports for reusability!

All data generators, scenarios, and types are properly exported, enabling other scripts or tests to leverage this infrastructure. The type exports for TestScenario and BenchmarkResult are particularly helpful for type safety!


29-38: The Interface field naming is correct—no adjustments needed.

The name and type fields follow NetBox conventions. NetBox interface objects use these exact field names (not interface_type or similar variants). Snake_case applies to multi-word identifiers like mgmt_only, device_type, and form_factor—single-word fields like name and type require no conversion.

Likely an incorrect or invalid review comment.


---

**End of Performance Baseline Document**
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🧹 Nitpick | 🔵 Trivial

Minor formatting suggestion from static analysis.

The "End of Performance Baseline Document" could be formatted as a heading (## End of Performance Baseline Document) rather than emphasized text for consistency vith markdown best practices.

This is entirely optional and does not affect functionality!

🔎 Proposed fix
-**End of Performance Baseline Document**
+## End of Performance Baseline Document
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
**End of Performance Baseline Document**
## End of Performance Baseline Document
🧰 Tools
🪛 markdownlint-cli2 (0.18.1)

268-268: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)

🤖 Prompt for AI Agents
In docs/research/performance-baseline.md around line 268, the final line uses
bold emphasis "**End of Performance Baseline Document**" but should be a
markdown heading for consistency; change that line to a level-2 (or appropriate)
heading syntax (e.g., "## End of Performance Baseline Document") and ensure
surrounding blank lines before/after the heading to match document formatting
conventions.

Comment on lines +64 to +73
for (let i = 0; i < count && currentU <= rackHeight - 1; i++) {
const deviceType = deviceTypes[i % deviceTypes.length];
devices.push({
id: `placed-${i}`,
device_type: deviceType.slug,
position: currentU,
face: "front",
});
currentU += deviceType.u_height;
}
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⚠️ Potential issue | 🔴 Critical

Critical: Incorrect boundary check prevents valid device placements!

The condition currentU <= rackHeight - 1 on line 64 is too restrictive. For a 42U rack, this stops at position 41, preventing a 1U device from being placed at U42 (vhich is valid).

The check should verify that the entire device fits vithin the rack:

currentU + deviceType.u_height - 1 <= rackHeight

For example, a 2U device at position 41 in a 42U rack:

  • Occupies U41-U42 ✓ (valid)
  • Check: 41 + 2 - 1 = 42 <= 42 ✓

But a 2U device at position 42:

  • Vould occupy U42-U43 ✗ (U43 doesn't exist)
  • Check: 42 + 2 - 1 = 43 <= 42 ✗
🔎 Proposed fix
-  for (let i = 0; i < count && currentU <= rackHeight - 1; i++) {
+  for (let i = 0; i < count && currentU + deviceTypes[i % deviceTypes.length].u_height - 1 <= rackHeight; i++) {
     const deviceType = deviceTypes[i % deviceTypes.length];

Or better yet, check before placing:

-  for (let i = 0; i < count && currentU <= rackHeight - 1; i++) {
+  for (let i = 0; i < count; i++) {
     const deviceType = deviceTypes[i % deviceTypes.length];
+    // Check if device fits in remaining space
+    if (currentU + deviceType.u_height - 1 > rackHeight) {
+      break;
+    }
     devices.push({
🤖 Prompt for AI Agents
In scripts/performance-benchmark.ts around lines 64 to 73, the loop's boundary
check uses currentU <= rackHeight - 1 which disallows placing devices that would
occupy the last rack unit(s); change the condition to ensure the entire device
fits before pushing it (for example evaluate currentU + deviceType.u_height - 1
<= rackHeight) and only push/place the device if that check passes, then
increment currentU by deviceType.u_height; this guarantees valid placements
(including a 1U at U42) and prevents devices from overflowing the rack.

Comment on lines +125 to +156
const scenarios: TestScenario[] = [
{
name: "Empty rack",
deviceCount: 0,
portsPerDevice: 0,
expectedElements: 42 * 6 + 43 + 42 * 2, // U slots + grid lines + U labels + mounting holes
},
{
name: "10 devices (no ports)",
deviceCount: 10,
portsPerDevice: 0,
expectedElements: 0, // Calculated at runtime
},
{
name: "10 devices × 24 ports = 240 port elements",
deviceCount: 10,
portsPerDevice: 24,
expectedElements: 240,
},
{
name: "10 devices × 48 ports = 480 port elements",
deviceCount: 10,
portsPerDevice: 48,
expectedElements: 480,
},
{
name: "20 devices × 24 ports = 480 port elements (max rack)",
deviceCount: 20,
portsPerDevice: 24,
expectedElements: 480,
},
];
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⚠️ Potential issue | 🟡 Minor

Inconsistent and potentially incorrect expectedElements values.

Two issues vith the scenarios array:

  1. Incorrect calculation for empty rack (line 130):

    expectedElements: 42 * 6 + 43 + 42 * 2

    The comment says "U slots + grid lines + U labels + mounting holes", but the calculation is:

    • 42 * 6 = 252 (mounting holes: 6 per U)
    • 43 (grid lines)
    • 42 * 2 = 84 (unclear vhat this represents)

    According to the documentation (docs/research/performance-baseline.md lines 81-90), the empty rack should have:

    • 1 interior rect + 4 rails + 42 U slots + 43 grid lines + 252 mounting holes + 42 U labels = ~384 elements

    The formula should be: 1 + 4 + 42 + 43 + 252 + 42 = 384

  2. Inconsistent meaning (lines 136-155):
    For scenarios vith ports, expectedElements only represents port element count, not total SVG elements. This is inconsistent vith scenario 1 and makes the field confusing. Additionally, scenario 2 has expectedElements: 0 vith a "Calculated at runtime" comment, but it's never actually calculated or used.

Consider either:

  • Making expectedElements consistently represent total SVG elements for all scenarios, OR
  • Renaming it to expectedPortElements and removing it from scenarios vithout ports
🔎 Proposed fix for calculation
   {
     name: "Empty rack",
     deviceCount: 0,
     portsPerDevice: 0,
-    expectedElements: 42 * 6 + 43 + 42 * 2, // U slots + grid lines + U labels + mounting holes
+    expectedElements: 1 + 4 + 42 + 43 + 252 + 42, // interior + rails + U slots + grid + mounting holes + labels = ~384
   },
🤖 Prompt for AI Agents
In scripts/performance-benchmark.ts around lines 125 to 156, the scenarios array
has inconsistent and incorrect expectedElements values: update the "Empty rack"
case to use the documented total element count formula (1 + 4 + 42 + 43 + 252 +
42 = 384) instead of the current arithmetic, and make expectedElements
consistent across all scenarios (either represent total SVG elements for every
scenario or rename the field to expectedPortElements and use it only for port
counts). Also remove or implement the "Calculated at runtime" placeholder for
the 10 devices (no ports) scenario so it is not left as 0; either compute its
total element count or omit expectedElements for that scenario if switching to
expectedPortElements. Ensure all scenario comments reflect the chosen meaning.

Comment on lines +264 to +266
// Run when executed directly
runBenchmarks();
printBrowserInstructions();
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🧹 Nitpick | 🔵 Trivial

Consider guarding main execution for safer imports.

Currently, importing this module vill automatically execute the benchmarks. Vhile this is acceptable for a script meant to be run directly, it could cause unexpected behavior if someone imports the utility functions for testing purposes.

Consider guarding the execution:

🔎 Proposed refactor
 // =============================================================================
 // Main
 // =============================================================================
 
-// Run when executed directly
-runBenchmarks();
-printBrowserInstructions();
+// Run when executed directly (not when imported)
+if (import.meta.url === `file://${process.argv[1]}`) {
+  runBenchmarks();
+  printBrowserInstructions();
+}

This ensures the benchmarks only run vhen the script is executed directly with npx tsx, not vhen imported by other modules.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
// Run when executed directly
runBenchmarks();
printBrowserInstructions();
// =============================================================================
// Main
// =============================================================================
// Run when executed directly (not when imported)
if (import.meta.url === `file://${process.argv[1]}`) {
runBenchmarks();
printBrowserInstructions();
}
🤖 Prompt for AI Agents
In scripts/performance-benchmark.ts around lines 264-266, the module currently
runs runBenchmarks() and printBrowserInstructions() on import; wrap those calls
in a top-level execution guard so they only run when the file is executed
directly (e.g., use an ESM-safe check like if (import.meta.main) {
runBenchmarks(); printBrowserInstructions(); } or the appropriate require.main
=== module guard for CJS), ensuring imports don't trigger benchmark execution.

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chore: performance baseline for port visualization

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