hao-ai-lab-FastVideo/apps/performance_dashboard

FastVideo Performance Dashboard

Local FastAPI + React dashboard for records stored in the Hugging Face performance tracking dataset.

Data Source

The dashboard reads the same normalized JSON records used by fastvideo/tests/performance/compare_baseline.py.

Defaults:

• HF_REPO_ID=FastVideo/performance-tracking
• PERFORMANCE_TRACKING_ROOT=/tmp/fastvideo-perf-dashboard

Records can include source metadata and rolling-baseline policy context:

• run_source: pr, local, scheduled_main, or unknown
• baseline_eligible: only successful scheduled-main records should be true
• Buildkite metadata such as branch, PR number, build URL, build ID, and job ID
• regression_thresholds: per-metric rolling-baseline percent and absolute floors used for recomputed status context

Dashboard/API metric payloads expose threshold_exceeded for raw threshold crossings; regressed remains the gated CI-failure signal.

Set one of HF_API_KEY, HUGGINGFACE_HUB_TOKEN, or HF_TOKEN if the configured dataset repo requires authenticated access:

export HF_TOKEN=hf_...

If Hugging Face returns 401 Unauthorized, confirm that HF_REPO_ID points to the dataset repo you expect and that your token has access to it.

Development

Run the API:

python -m fastvideo.performance_dashboard --host 127.0.0.1 --port 8000 --reload

Run the React dev server:

cd performance_dashboard/frontend
npm install
npm run dev

Open http://127.0.0.1:5173. Vite proxies /api/* to the FastAPI server on port 8000.

Single-Port Mode For ngrok

Build the frontend:

cd performance_dashboard/frontend
npm install
npm run build

Serve API and built frontend from one FastAPI process:

python -m fastvideo.performance_dashboard --host 0.0.0.0 --port 8000

Expose it:

ngrok http 8000

The ngrok URL will serve the dashboard UI and all /api/performance/* endpoints from the same local port.

Dashboard Behavior

The dashboard supports model, GPU, source, and day-window filters.

Trend charts show metric-specific axes and exact point details on hover/focus:

• metric value and unit
• timestamp
• commit SHA
• run source
• stored status
• baseline eligibility
• PR number, branch, and Buildkite URL when present

The latest status table uses the stored JSON success value. Recomputed baseline context applies each metric's percent and absolute regression floors and does not override stored status.

API

• GET /api/performance/health
• POST /api/performance/refresh
• GET /api/performance/summary?days=90&run_source=pr
• GET /api/performance/trends?days=90&run_source=scheduled_main
• GET /api/performance/records?days=90&run_source=local

V2 records use the same comparison cohort as CI: workload_id, variant_id, benchmark_version, recipe_fingerprint, hardware_profile_id, and software_profile_id. model_id and gpu_type remain display/filter metadata, so renaming either does not split history. Legacy records still group by (model_id, gpu_type). Dashboard baselines use the latest five previous successful, baseline-eligible records in each group. Summary and trend filters match the latest display metadata after grouping, while the raw records endpoint continues to filter individual records.