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vllm-omni/benchmarks/edge_harness/experiments/analyze_tts_sustained.py
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Python

#!/usr/bin/env python3
"""Summarize fixed time windows of raw Qwen3-TTS sustained request streams."""
from __future__ import annotations
import argparse
import json
import math
from pathlib import Path
WINDOWS_MIN = ((0, 25), (25, 27), (27, 30))
def nearest_rank(values: list[float], fraction: float) -> float | None:
if not values:
return None
ordered = sorted(values)
return ordered[math.ceil(len(ordered) * fraction) - 1]
def required_prebuffer_ms(row: dict) -> float:
chunks = [chunk for chunk in row["chunks_all"] if chunk["samples"]]
if not chunks:
raise ValueError(f"{row['request_id']}: no audio chunks")
first_ms = chunks[0]["t_ms"]
played_ms = 0.0
required_ms = 0.0
for chunk in chunks:
required_ms = max(required_ms, chunk["t_ms"] - first_ms - played_ms)
played_ms += 1000 * chunk["samples"] / chunk["sr"]
return required_ms
def summarize(path: Path) -> dict:
rows = [json.loads(line) for line in path.open(encoding="utf-8")]
sustained = [row for row in rows if row["phase"] == "sustained"]
if not sustained:
raise ValueError(f"{path}: no sustained requests")
start = sustained[0]["submitted_unix"]
result = {"source": str(path), "sustained_count": len(sustained), "windows": []}
for lo, hi in WINDOWS_MIN:
selected = [row for row in sustained
if lo * 60 <= row["submitted_unix"] - start < hi * 60]
rtf = [row["rtf_total"] for row in selected]
wall = [row["total_wall_s"] for row in selected]
buffers = [required_prebuffer_ms(row) for row in selected]
result["windows"].append({
"minutes": [lo, hi],
"requests": len(selected),
"rtf_p50": nearest_rank(rtf, 0.5),
"rtf_p95": nearest_rank(rtf, 0.95),
"wall_s_p50": nearest_rank(wall, 0.5),
"wall_s_p95": nearest_rank(wall, 0.95),
"requests_with_underrun_at_ttfa": sum(bool(row["underruns"]) for row in selected),
"required_prebuffer_ms_p50": nearest_rank(buffers, 0.5),
"required_prebuffer_ms_p95": nearest_rank(buffers, 0.95),
"required_prebuffer_ms_max": max(buffers) if buffers else None,
})
return result
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("paths", nargs="+", type=Path)
parser.add_argument("--out", type=Path)
args = parser.parse_args()
result = {
"method": "Non-overlapping windows from each run's first sustained submission; nearest-rank percentiles; "
"prebuffer is minimum added delay after first audio arrival to avoid all simulated underruns",
"runs": [summarize(path) for path in args.paths],
}
output = json.dumps(result, indent=2) + "\n"
if args.out:
args.out.parent.mkdir(parents=True, exist_ok=True)
args.out.write_text(output, encoding="utf-8")
else:
print(output, end="")
if __name__ == "__main__":
main()