Godot Release Dashboard Kit
godot-release-dashboard-kit builds a small static dashboard from JSON,
Markdown, and image artifacts produced by Godot Production Toolkit commands.
It is intentionally simple: point it at a reports folder and it writes a self-contained HTML file suitable for a CI artifact or release checklist. Report cards are grouped into practical workflows and keep their release readiness state visible, so export, runtime evidence, mobile UI, content, and other checks stay easier to scan in one page.
Install
python -m pip install godot-release-dashboard-kit
From a source checkout:
python -m pip install -e .\godot-release-dashboard-kit
Quick Start
godot-release-dashboard build reports\godot-project-doctor --output reports\dashboard.html
Write a machine-readable dashboard summary:
godot-release-dashboard build reports\godot-project-doctor --format json --output reports\dashboard.json
Compare the current reports with a previous report folder:
godot-release-dashboard build reports\current --previous-reports-dir reports\previous --title "Release Candidate Evidence" --description "Android export and runtime checks" --project "Demo Game" --output reports\dashboard.html
Include scenario run evidence in the same dashboard:
godot-scenario-report bundle reports\scenarios --manifest scenario-manifest.json --telemetry reports\runtime-timeline.json --evidence log=reports\run.log --evidence junit=reports\junit.xml --format json --output reports\release-evidence\scenario-bundle.json
godot-release-dashboard build reports\release-evidence --output reports\dashboard.html
Inputs
The dashboard scans a folder recursively for .json, .md, .png, .jpg,
.jpeg, .svg, and .webp files. Toolkit JSON reports are summarized through
their tool, kind, and summary fields when available. If a JSON report
includes command, commands, tool_version, schema_version,
generated_at, profile, risk, workflow, or category, the dashboard
shows those fields as report metadata, reproduction commands, and grouping
labels. workflow and category can appear at the report top level, inside
metadata, or inside summary. When they are absent, the dashboard uses a
conservative fallback based on the tool name, report kind, and file path. Image
artifacts such as mobile UI overlays, screenshot diffs, pixel previews, and
visual smoke captures are embedded into the self-contained HTML output.
Scenario bundle JSON from godot-scenario-report-kit is shown as a release
evidence card with scenario pass/fail counts plus the nearby files a reviewer
should open next, such as logs, JUnit XML, runtime telemetry, profiler captures,
visual-smoke reports, or screenshots. The dashboard shows link metadata from the
bundle; it does not run the game or rewrite those evidence files. If the bundle
contains a compact telemetry summary, the dashboard also shows sample count,
frame p95, frame max, memory max, and budget spike counts.
When --previous-reports-dir is supplied, the dashboard scans the previous
folder with the same report rules and adds a compact change section. The trend
cards show added, removed, and changed report cards, including status changes
and error/warning deltas. The --baseline flag is accepted as a shorter alias.
Outputs
html: self-contained static dashboard with release readiness metrics, source report links, workflow-grouped report cards, scenario evidence sections, and image previews.json: summary for scripts or later dashboard tooling, including counts forblocked,attention,ready, workflow groups, scenario bundles, scenarios, and linked scenario evidence. Reports that include reproduction commands are counted insummary.reports_with_commands. Scenario-linked telemetry summaries are rolled up as sample, spike, warning, and error counts. When a previous folder is supplied, JSON output also includesprevious_summary,trends, and trend-related summary counts.
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