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52 changes: 52 additions & 0 deletions .github/workflows/mirror.yml
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# Mirrors a release's engine and models to dl.godwit.email/plugins/startlux/ and
# prints its registry assets. Manual only: without "upload" it downloads, checks
# and prints, writing nothing to the bucket. Needs the R2_* secrets to upload.
name: Mirror assets

on:
workflow_dispatch:
inputs:
tag:
description: Release tag, e.g. v0.1.0
required: true
upload:
description: Upload to the bucket (otherwise a dry run)
type: boolean
default: false

permissions:
contents: read

jobs:
mirror:
runs-on: ubuntu-24.04
timeout-minutes: 60
steps:
- uses: actions/checkout@v4
with:
ref: refs/tags/${{ inputs.tag }}
# The script from this branch: a tag made before it existed can still be mirrored.
- uses: actions/checkout@v4
with:
path: current
sparse-checkout: scripts/mirror.py
sparse-checkout-cone-mode: false
- uses: actions/setup-python@v6
with:
python-version: '3.13'
- name: Mirror
env:
AWS_ACCESS_KEY_ID: ${{ inputs.upload && secrets.R2_ACCESS_KEY_ID || '' }}
AWS_SECRET_ACCESS_KEY: ${{ inputs.upload && secrets.R2_SECRET_ACCESS_KEY || '' }}
AWS_DEFAULT_REGION: auto
R2: https://9c578ed9cad837fb4a2564db7b36b483.r2.cloudflarestorage.com
run: |
cp current/scripts/mirror.py scripts/mirror.py
python scripts/mirror.py "$RUNNER_TEMP/mirror" ${{ inputs.upload && '--upload' || '' }}
- name: Assets
run: |
{ echo '```json'; cat "$RUNNER_TEMP/mirror/assets.json"; echo '```'; } >> "$GITHUB_STEP_SUMMARY"
- uses: actions/upload-artifact@v4
with:
name: assets-${{ inputs.tag }}
path: ${{ runner.temp }}/mirror/assets.json
122 changes: 122 additions & 0 deletions scripts/mirror.py
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#!/usr/bin/env python3
"""Mirror the engine and models to dl.godwit.email and print the registry assets.

mirror.py WORK_DIR [--upload]

scripts/engine.py lays out the pinned llama.cpp build (third_party/llama/VERSION)
per platform, as Godwit stores the engine asset. The models come from startlux-models on Hugging Face at
pinned revisions and must have the hashes below. Without --upload nothing is
written to the bucket. With it, each file goes to s3://godwit-downloads/plugins/
startlux/... once: a path that already holds other bytes fails the run, since a
published release's files never change. WORK_DIR/assets.json is the release's
"assets" for registry.json.
"""
import argparse
import hashlib
import json
import os
from pathlib import Path
import subprocess
import sys
import urllib.request

BUCKET = "godwit-downloads"
PUBLIC = "https://dl.godwit.email"
PLATFORMS = ["darwin-arm64", "darwin-amd64", "linux-amd64", "linux-arm64", "windows-amd64", "windows-arm64"]
GPU = ["darwin-arm64"] # only Apple silicon has a GPU back end; elsewhere only 2B is offered (CPU)

HF = "https://huggingface.co/startlux-models/StartLux-Decision-v1.1-"
MODELS = {
"4b-q4": {
"model.gguf": (HF + "4B-Instant-GGUF/resolve/a9ab4199fdff586f86e3baf8c9557f6c5ca0fdc0/StartLux-Decision-v1.1-4B-Instant-Q4_K_M.gguf",
"5fcfe9771db996a868f78215c08955c21cf5e8188609e17e9c653183d946e84d"),
"decision_config.json": (HF + "4B-Instant/resolve/416088f77cfce09633906a3675c7cd2e5dabcf10/decision_config.json",
"9ca014791b5c71996c212c7aed6275405c4d9b682a6b6eba325a3ab17bcccc08"),
},
"2b-q8": {
"model.gguf": (HF + "2B-Instant-GGUF/resolve/afb95dbba67e648f4e1b5ad3f770a91f799f9496/StartLux-Decision-v1.1-2B-Instant-Q8_0.gguf",
"170cf86482a3340c7bd2000f921aa482820a992c14587f496f43fc57009f9529"),
"decision_config.json": (HF + "2B-Instant/resolve/f1e6cd147dda82c9ffa3e8e725d5c1f175566fb1/decision_config.json",
"3bd3c0c3854b18be967c7a660d38b8340aa2b4c14648d8ce0260cd32f6e89c1a"),
},
}
# Physical memory each needs, measured (docs/parity.md): Windows commits the
# 4K-token compute buffer that macOS and Linux only reserve.
MEMORY = {"4b-q4": {"default": 8}, "2b-q8": {"default": 6, "windows-*": 12}}


def sha256(path):
h = hashlib.sha256()
with open(path, "rb") as f:
for chunk in iter(lambda: f.read(1 << 20), b""):
h.update(chunk)
return h.hexdigest()


def download(url, dest, want):
if not (dest.exists() and sha256(dest) == want):
dest.parent.mkdir(parents=True, exist_ok=True)
with urllib.request.urlopen(url, timeout=600) as r, open(dest, "wb") as f:
while chunk := r.read(1 << 20):
f.write(chunk)
if (got := sha256(dest)) != want:
sys.exit(f"{url}: sha256 {got}, not {want}")


def aws(*args, check=True):
return subprocess.run(["aws", *args, "--endpoint-url", os.environ["R2"]], check=check, capture_output=True, text=True)


def publish(local, key, digest, upload):
"""The registry file for local at key: uploaded once, never replaced."""
if upload:
head = aws("s3api", "head-object", "--bucket", BUCKET, "--key", key, check=False)
if head.returncode == 0:
have = json.loads(head.stdout).get("Metadata", {}).get("sha256")
if have != digest:
sys.exit(f"{key} already holds other bytes ({have}); a published file never changes")
print(f"{key}: already there")
else:
aws("s3", "cp", str(local), f"s3://{BUCKET}/{key}", "--metadata", f"sha256={digest}",
"--content-type", "application/octet-stream", "--cache-control", "public, max-age=31536000, immutable")
print(f"{key}: uploaded")
return {"name": local.name, "url": f"{PUBLIC}/{key}", "sha256": digest, "size": local.stat().st_size}


def main():
ap = argparse.ArgumentParser()
ap.add_argument("work", type=Path)
ap.add_argument("--upload", action="store_true")
args = ap.parse_args()
if args.upload and not os.environ.get("R2"):
sys.exit("--upload needs R2 (the bucket's endpoint) and the AWS_* credentials")
root = Path(__file__).resolve().parent.parent
version = (root / "third_party" / "llama" / "VERSION").read_text().strip()

assets = []
for platform in PLATFORMS:
out = args.work / "engine" / platform
if not out.exists():
subprocess.run([sys.executable, str(root / "scripts" / "engine.py"), str(out), "--platform", platform], check=True)
files = [publish(p, f"plugins/startlux/engine/{version}/{platform}/{p.name}", sha256(p), args.upload)
for p in sorted(out.iterdir())]
assets.append({"name": "engine", "platforms": [platform], "variants": [{"id": version, "files": files}]})

variants = {}
for variant, files in MODELS.items():
published = []
for name, (url, want) in files.items():
local = args.work / "models" / variant / name
download(url, local, want)
published.append(publish(local, f"plugins/startlux/models/v1.1/{variant}/{name}", want, args.upload))
variants[variant] = {"id": variant, "minMemoryGB": MEMORY[variant], "files": published}
cpu = [p for p in PLATFORMS if p not in GPU]
assets.append({"name": "model", "platforms": GPU, "variants": [variants["4b-q4"], variants["2b-q8"]]})
assets.append({"name": "model", "platforms": cpu, "variants": [variants["2b-q8"]]})

(args.work / "assets.json").write_text(json.dumps(assets, indent=2) + "\n")
print(f"assets: {args.work / 'assets.json'}")


if __name__ == "__main__":
main()
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