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streaming-pool-json-html

Skill4 starsChanged 3 months agoMITView on GitHub

Read Unreal Engine texture/render asset streaming pool NDJSON reports such as streaming_pool_report_*.ndjson, then generate a simple standalone HTML curve chart for pool sizing analysis. Use when Codex is asked to visualize texture streaming pool JSON/NDJSON, inspect RequiredPool/StreamingPool/OverBudget curves, or produce an HTML chart from r.Streaming.PoolReport output.

The file

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  1. Very specific:

    Use this skill when the user provides an Unreal texture streaming pool report generated by r.Streaming.PoolReport.Start/Stop and asks for a …

    line 8
  2. Distinctive:

    If the script is run from outside the skill folder, use the absolute script path:

    line 26

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Files
SKILL.md

Streaming Pool JSON HTML

Use this skill when the user provides an Unreal texture streaming pool report generated by r.Streaming.PoolReport.Start/Stop and asks for a chart or HTML visualization.

The default chart shows:

  • Blue: requiredPoolMB
  • Green: streamingPoolMB
  • Purple: usedStreamingPoolMB
  • Red: overBudgetMB

Workflow

  1. Locate the input report. Prefer a user-provided path; otherwise search for streaming_pool_report_*.ndjson.
  2. Generate the chart with the bundled script:
python .\scripts\streaming_pool_json_to_html.py "path\to\streaming_pool_report.ndjson"
  1. If the script is run from outside the skill folder, use the absolute script path:
python "D:\UnrealEngine\.codex\skills\streaming-pool-json-html\scripts\streaming_pool_json_to_html.py" "path\to\streaming_pool_report.ndjson"
  1. Give the user the generated .html path and summarize the key peak values from the script output.

Useful Options

python .\scripts\streaming_pool_json_to_html.py "report.ndjson" --output "report.html"
python .\scripts\streaming_pool_json_to_html.py "report.ndjson" --title "B02 Texture Streaming"
python .\scripts\streaming_pool_json_to_html.py "report.ndjson" --fields requiredPoolMB,streamingPoolMB,wantedMipsMB,cachedMipsMB
python .\scripts\streaming_pool_json_to_html.py "report.ndjson" --max-points 2500

Data Notes

  • Input is newline-delimited JSON, one object per line.
  • {"type":"start", ...} and {"type":"stop", ...} describe the capture.
  • {"t":"s", ...} rows are per-frame samples.
  • {"type":"summary", ...} may contain max values and recommendedEffectiveStreamingPoolMB_RequiredX1_3.
  • The x-axis uses elapsed seconds e when available, falling back to frame f.
  • The output HTML is self-contained and can be opened directly in a browser.

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