mirror of
https://github.com/sunnypilot/sunnypilot.git
synced 2026-09-02 01:53:45 +08:00
Jason Wen
5a8567e3e7
* ci: chestnut prebuilt branches * fix * nope * big * try again * diff * malformed * auth * more
105 lines
3.2 KiB
Python
105 lines
3.2 KiB
Python
#!/usr/bin/env python3
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"""
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Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
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This file is part of sunnypilot and is licensed under the MIT License.
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See the LICENSE.md file in the root directory for more details.
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"""
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import argparse
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import hashlib
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import json
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import tempfile
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from huggingface_hub import HfApi, hf_hub_download
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def hash_file(path: str) -> str:
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digest = hashlib.sha256()
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with open(path, 'rb') as f:
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while block := f.read(1024 * 1024):
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digest.update(block)
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return digest.hexdigest()
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--hf-repo", required=True)
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parser.add_argument("--hf-defaults-path", required=True)
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parser.add_argument("--artifact-name", required=True)
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parser.add_argument("--model-dir", required=True)
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parser.add_argument("--onnx-path", required=True)
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parser.add_argument("--onnx-ref", required=True)
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parser.add_argument("--model-name", required=True)
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parser.add_argument("--tinygrad-ref", required=True)
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parser.add_argument("--run-number", required=True)
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args = parser.parse_args()
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api = HfApi()
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onnx_sha256 = hash_file(args.onnx_path)
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short_ref = args.onnx_ref[:8]
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folder_name = f"model-{args.model_name}-{short_ref}-{args.run_number}"
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print(f"ONNX hash: {onnx_sha256}")
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print(f"ONNX ref: {args.onnx_ref} (short: {short_ref})")
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print(f"Folder: {folder_name}")
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metadata_path = f"{args.model_dir}/metadata.json"
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with open(metadata_path) as f:
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metadata = json.load(f)
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bundle = metadata['bundles'][0]
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bundle['display_name'] = args.model_name
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bundle['onnx_sha256'] = onnx_sha256
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bundle['onnx_ref'] = args.onnx_ref
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artifact = bundle['models'][0]['artifact']
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hf_base = f"https://huggingface.co/datasets/{args.hf_repo}/resolve/main/{args.hf_defaults_path}/{folder_name}"
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artifact['download_uri']['url'] = f"{hf_base}/{artifact['file_name']}"
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for chunk in artifact.get('chunks', []):
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chunk['url'] = f"{hf_base}/{chunk['file_name']}"
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print(f"Uploading model to {args.hf_defaults_path}/{folder_name}/")
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api.upload_folder(
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folder_path=args.model_dir,
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path_in_repo=f"{args.hf_defaults_path}/{folder_name}",
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repo_id=args.hf_repo,
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repo_type="dataset",
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)
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json_filename = f"{args.hf_defaults_path}/default_models.json"
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try:
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local_path = hf_hub_download(repo_id=args.hf_repo, repo_type='dataset', filename=json_filename)
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with open(local_path) as f:
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defaults_json = json.load(f)
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except Exception:
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defaults_json = {"tinygrad_ref": args.tinygrad_ref, "bundles": []}
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defaults_json['tinygrad_ref'] = args.tinygrad_ref
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existing_idx = next((i for i, b in enumerate(defaults_json['bundles'])
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if b.get('onnx_sha256') == onnx_sha256), None)
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if existing_idx is not None:
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defaults_json['bundles'][existing_idx] = bundle
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else:
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defaults_json['bundles'].append(bundle)
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print(json.dumps(defaults_json, indent=2))
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with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as f:
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json.dump(defaults_json, f, indent=2)
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tmp_path = f.name
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api.upload_file(
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path_or_fileobj=tmp_path,
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path_in_repo=json_filename,
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repo_id=args.hf_repo,
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repo_type="dataset",
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)
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print(f"Updated {json_filename}")
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if __name__ == "__main__":
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main()
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