File size: 6,375 Bytes
503e20a 0cafa06 503e20a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 | """Embedding-fleet control plane — run-level view of a fan-out embedding run.
Renders one run of launch-embedding-fleet.py (uv-scripts/embeddings): documents-processed
progress, tokens, live ~$ cost vs the hard ceiling, ETA, GPU utilization, replica health,
and a per-worker table. Polls the run bucket + Jobs API every few seconds.
"""
import os
import gradio as gr
from control_plane import RunView, list_runs, load_run
BUCKET = os.environ.get("FLEET_BUCKET", "davanstrien/embedding-runs")
NAMESPACE = os.environ.get("FLEET_NAMESPACE") or BUCKET.split("/")[0]
POLL_SECS = float(os.environ.get("FLEET_POLL_SECS", "5"))
CSS = """
:root {
--ink: #1a1a1a; --ink-2: #555; --ink-3: #999;
--surface: #fffef9; --card: #ffffff; --line: #e4e2da;
--accent: #3d6ea5; --ok: #2e7d43; --bad: #b3382c;
}
@media (prefers-color-scheme: dark) {
:root { --ink: #ececec; --ink-2: #b0b0b0; --ink-3: #7a7a7a;
--surface: #131313; --card: #1c1c1c; --line: #333;
--accent: #7ba7d4; --ok: #6fbf85; --bad: #e07a6e; }
}
.gradio-container { max-width: 1080px !important; }
#fleet-html h2 { font-weight: 600; margin: 0 0 2px; }
.fleet-head { color: var(--ink-2); font-size: 0.92rem; margin-bottom: 14px; }
.fleet-head a { color: var(--accent); text-decoration: none; }
.tiles { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
gap: 10px; margin: 12px 0 6px; }
.tile { background: var(--card); border: 1px solid var(--line); border-radius: 6px;
padding: 10px 14px; }
.tile .k { font-size: 0.72rem; text-transform: uppercase; letter-spacing: 0.05em;
color: var(--ink-3); }
.tile .v { font-size: 1.45rem; font-variant-numeric: tabular-nums; color: var(--ink); }
.tile .s { font-size: 0.78rem; color: var(--ink-2); }
.tile .v.ok { color: var(--ok); } .tile .v.bad { color: var(--bad); }
.bar-wrap { margin: 10px 0 2px; }
.bar-label { display: flex; justify-content: space-between; font-size: 0.85rem;
color: var(--ink-2); margin-bottom: 4px; font-variant-numeric: tabular-nums; }
.bar { height: 10px; background: var(--line); border-radius: 5px; overflow: hidden; }
.bar > div { height: 100%; background: var(--accent); border-radius: 5px 0 0 5px;
transition: width 0.6s ease; }
"""
def fmt_int(n):
return f"{n:,}" if n is not None else "—"
def fmt_secs(s):
if s is None:
return "—"
if s < 90:
return f"{s:.0f}s"
if s < 5400:
return f"{s / 60:.0f} min"
return f"{s / 3600:.1f} h"
def render_run(view: RunView) -> str:
m = view.manifest
pct = 100.0 * view.rows_done / view.rows_total if view.rows_total else 0.0
in_url = f"https://huggingface.co/datasets/{m['input_dataset']}"
out_url = f"https://huggingface.co/datasets/{m['output_dataset']}"
ceiling = f"ceiling ≤ ${view.cost_ceiling_usd:,.2f}" if view.cost_ceiling_usd else "est."
gpu = f"{view.gpu_util:.0f}%" if view.gpu_util is not None else "—"
health_cls = "bad" if view.errored else "ok"
eta = "done" if view.eta_secs == 0 else fmt_secs(view.eta_secs)
return f"""
<h2>{m["output_dataset"].split("/")[-1]}</h2>
<div class="fleet-head">
<a href="{in_url}">{m["input_dataset"]}</a> → <a href="{out_url}">{m["output_dataset"]}</a>
· <code>{m["model"].split("/")[-1]}</code>
· {view.num_shards} × {m["flavor"]} · run <code>{view.run_id}</code>
</div>
<div class="bar-wrap">
<div class="bar-label">
<span>{fmt_int(view.rows_done)} of {fmt_int(view.rows_total)} documents</span>
<span>{pct:.1f}%</span>
</div>
<div class="bar"><div style="width:{min(pct, 100):.2f}%"></div></div>
</div>
<div class="tiles">
<div class="tile"><div class="k">Tokens (est.)</div>
<div class="v">{fmt_int(view.tokens_done_est)}</div></div>
<div class="tile"><div class="k">Cost</div>
<div class="v">~${view.cost_usd:,.2f}</div><div class="s">{ceiling}</div></div>
<div class="tile"><div class="k">ETA</div>
<div class="v">{eta}</div></div>
<div class="tile"><div class="k">GPU util</div>
<div class="v">{gpu}</div><div class="s">mean of running</div></div>
<div class="tile"><div class="k">Replicas healthy</div>
<div class="v {health_cls}">{view.healthy}/{view.num_shards}</div>
<div class="s">{view.done} done · {view.errored} error</div></div>
</div>
"""
def worker_table(view: RunView):
rows = []
for w in view.workers:
rows.append([
w.rank,
w.stage + (f" ({w.state})" if w.state and w.state != "running" else ""),
f"{w.rows_done:,}" + (f" / {w.rows_total:,}" if w.rows_total else ""),
f"{w.rows_per_sec:,.0f}" if w.rows_per_sec else "—",
f"{w.gpu_util:.0f}%" if w.gpu_util is not None else "—",
f"~${w.cost_usd:.3f}" if w.cost_usd is not None else "—",
w.job_id or "—",
])
return rows
def refresh(run_id):
if not run_id:
return "<p>No runs found in the bucket yet.</p>", []
view = load_run(BUCKET, run_id, namespace=NAMESPACE)
if view is None:
return f"<p>Run <code>{run_id}</code> has no manifest.</p>", []
return render_run(view), worker_table(view)
def init(request: gr.Request):
runs = list_runs(BUCKET)
wanted = dict(request.query_params).get("run")
selected = wanted if wanted in runs else (runs[0] if runs else None)
html, table = refresh(selected)
return gr.Dropdown(choices=runs, value=selected), html, table
with gr.Blocks(css=CSS, title="Embedding Fleet") as demo:
with gr.Row():
# allow_custom_value: ?run= deep links and API calls may reference runs
# that appeared after the choices list was built.
run_dd = gr.Dropdown(label="Run", choices=[], scale=3, allow_custom_value=True)
reload_btn = gr.Button("Reload runs", scale=1)
html = gr.HTML(elem_id="fleet-html")
table = gr.Dataframe(
headers=["rank", "stage", "rows", "rows/s", "gpu", "~$", "job"],
interactive=False, label="Workers",
)
timer = gr.Timer(POLL_SECS)
demo.load(init, inputs=None, outputs=[run_dd, html, table])
timer.tick(refresh, inputs=run_dd, outputs=[html, table])
run_dd.change(refresh, inputs=run_dd, outputs=[html, table])
reload_btn.click(lambda: gr.Dropdown(choices=list_runs(BUCKET)), outputs=run_dd)
if __name__ == "__main__":
demo.launch()
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