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0bcd139 2353a55 0bcd139 2353a55 0bcd139 2353a55 0bcd139 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 | #!/usr/bin/env python3
"""Build monorepo-level dashboard from models/*/derived/summary.json + registry.json.
stdlib only — offline safe (no pip/network).
"""
from __future__ import annotations
import json
import sys
from datetime import datetime, timezone
from pathlib import Path
ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(ROOT / "shared" / "scripts"))
from write_json_stable import write_json_stable # noqa: E402
import sync_readme # noqa: E402
MODELS_DIR = ROOT / "models"
OUT = ROOT / "derived"
REGISTRY = MODELS_DIR / "registry.json"
def load_registry() -> dict:
if not REGISTRY.exists():
return {"models": []}
return json.loads(REGISTRY.read_text())
def discover_models() -> list[str]:
return sorted(
p.name
for p in MODELS_DIR.iterdir()
if p.is_dir() and (p / "Makefile").exists() and (p / "derived" / "summary.json").exists()
)
def load_summary(model_id: str) -> dict:
path = MODELS_DIR / model_id / "derived" / "summary.json"
data = json.loads(path.read_text())
data.setdefault("model_id", model_id)
return data
def normalize_row(model_id: str, summary: dict, reg_entry: dict | None) -> dict:
reg = reg_entry or {}
# Prefer explicit common fields; fall back to model-specific shapes
total = summary.get("total_params") or summary.get("total_parameters")
if not total and summary.get("n_routed_experts"):
# inkling-style: not in summary historically — use registry notes / fixed
total = reg.get("total_params") or "975B (reported)"
active = summary.get("active_params") or summary.get("active_parameters")
if active is None and model_id == "inkling":
active = "41B (reported)"
if active is None and model_id == "kimi-k3":
active = "undisclosed"
context = summary.get("context_tokens") or summary.get("model_max_length")
experts = None
if summary.get("n_experts") and summary.get("experts_activated"):
experts = f"{summary['experts_activated']}/{summary['n_experts']}"
s = summary.get("n_shared_experts")
if s:
experts += f"+{s} shared"
elif summary.get("n_routed_experts"):
k = summary.get("num_experts_per_tok")
s = summary.get("n_shared_experts")
experts = f"{k}/{summary['n_routed_experts']}" + (f"+{s} shared" if s else "")
return {
"model_id": model_id,
"display_name": summary.get("display_name")
or summary.get("model")
or reg.get("display_name")
or model_id,
"org": reg.get("org") or summary.get("org") or "—",
"status": reg.get("status") or summary.get("status") or "unknown",
"total_params": total or "—",
"active_params": active or "—",
"context_tokens": context,
"experts": experts or "—",
"hub": reg.get("hub"),
"api_model_id": reg.get("api_model_id") or summary.get("api_model_id"),
"generated_at_utc": summary.get("generated_at_utc"),
"notes": reg.get("notes") or "",
"path": f"models/{model_id}",
"raw": summary,
}
def render_md(rows: list[dict], generated: str) -> str:
lines = [
"# Study dashboard",
"",
f"> Auto-generated by `shared/scripts/build_dashboard.py` · {generated}",
">",
"> Do not hand-edit. Run `make dashboard` or `make check`.",
"",
"## Models",
"",
"| ID | Name | Org | Status | Total | Active | Context | Experts | Package |",
"|---|---|---|---|---|---|---:|---|---|",
]
for r in rows:
ctx = f"{r['context_tokens']:,}" if isinstance(r["context_tokens"], int) else (r["context_tokens"] or "—")
hub = f"[hub](https://huggingface.co/{r['hub']})" if r.get("hub") else "—"
lines.append(
f"| `{r['model_id']}` | {r['display_name']} | {r['org']} | `{r['status']}` | "
f"{r['total_params']} | {r['active_params']} | {ctx} | {r['experts']} | "
f"[{r['path']}](../{r['path']}/) |"
)
lines += [
"",
"## Links",
"",
]
for r in rows:
bits = [f"- **{r['display_name']}** (`{r['model_id']}`)"]
bits.append(f" - study: [`{r['path']}`](../{r['path']}/)")
if r.get("hub"):
bits.append(f" - hub: https://huggingface.co/{r['hub']}")
if r.get("api_model_id"):
bits.append(f" - api: `{r['api_model_id']}`")
if r.get("notes"):
bits.append(f" - {r['notes']}")
lines.extend(bits)
cmp_dir = ROOT / "shared" / "comparisons"
cmp_links = []
for name, label in (
("laguna-s-vs-inkling-vs-kimi.md", "Laguna · Inkling · Kimi"),
("inkling-vs-kimi-k3.md", "Inkling · Kimi"),
):
if (cmp_dir / name).exists():
cmp_links.append(f"- [{label}](../shared/comparisons/{name})")
if not cmp_links:
cmp_links = ["- (no comparison notes yet)"]
lines += [
"",
"## Cross-model",
"",
*cmp_links,
"",
"## Freshness",
"",
"| Model | summary generated_at_utc |",
"|---|---|",
]
for r in rows:
lines.append(f"| `{r['model_id']}` | {r.get('generated_at_utc') or '—'} |")
lines.append("")
return "\n".join(lines)
def main() -> int:
reg = load_registry()
reg_by_id = {m["id"]: m for m in reg.get("models") or [] if "id" in m}
model_ids = discover_models()
if not model_ids:
print("No model summaries found", file=sys.stderr)
return 1
rows = []
for mid in model_ids:
summary = load_summary(mid)
rows.append(normalize_row(mid, summary, reg_by_id.get(mid)))
generated = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
OUT.mkdir(parents=True, exist_ok=True)
status = {
"generated_at_utc": generated,
"models": [{k: v for k, v in r.items() if k != "raw"} for r in rows],
}
if write_json_stable(OUT / "STATUS.json", status):
print(" STATUS.json updated")
else:
print(" STATUS.json unchanged (semantic)")
if (OUT / "STATUS.json").exists():
status = json.loads((OUT / "STATUS.json").read_text())
generated = status.get("generated_at_utc", generated)
md_rows = rows
if status.get("models") and len(status["models"]) == len(rows):
# prefer stored models list when reusing timestamp
md_rows = [{**m, "raw": {}} for m in status["models"]]
new_dash = render_md(md_rows, generated)
dash_path = OUT / "DASHBOARD.md"
if not dash_path.exists() or dash_path.read_text() != new_dash:
dash_path.write_text(new_dash)
print(" DASHBOARD.md updated")
else:
print(" DASHBOARD.md unchanged")
(OUT / "README.md").write_text(
"# Monorepo derived/\n\n"
"> Generated. Do not hand-edit.\n\n"
"| File | Purpose |\n"
"|---|---|\n"
"| [DASHBOARD.md](DASHBOARD.md) | Human status table |\n"
"| [STATUS.json](STATUS.json) | Machine status |\n"
)
sync_readme.main()
print(f"✓ dashboard: {len(rows)} models")
for r in rows:
print(f" - {r['model_id']}: {r['display_name']} [{r['status']}]")
return 0
if __name__ == "__main__":
raise SystemExit(main())
|