SeismicX-Cont / scripts /upload_files_to_ms.py
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Upload scripts/upload_files_to_ms.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pathlib import Path
from concurrent.futures import ThreadPoolExecutor, as_completed
from modelscope.hub.api import HubApi
# ========= 配置区 =========
repo_id = "cangyeone/SeismicX-Cont"
repo_type = "dataset"
max_workers = 16 # 30GB 大文件建议 2;网络很好可以改成 3
files_to_upload = [
("data/hdf5/continuous_waveform_usa_20190701.h5", "data/hdf5/continuous_waveform_usa_20190701.h5"),
("data/hdf5/continuous_waveform_usa_20190702.h5", "data/hdf5/continuous_waveform_usa_20190702.h5"),
("data/hdf5/continuous_waveform_usa_20190703.h5", "data/hdf5/continuous_waveform_usa_20190703.h5"),
("data/hdf5/continuous_waveform_usa_20190704.h5", "data/hdf5/continuous_waveform_usa_20190704.h5"),
("data/hdf5/continuous_waveform_usa_20190705.h5", "data/hdf5/continuous_waveform_usa_20190705.h5"),
("data/hdf5/continuous_waveform_usa_20190706.h5", "data/hdf5/continuous_waveform_usa_20190706.h5"),
("data/hdf5/continuous_waveform_usa_20190707.h5", "data/hdf5/continuous_waveform_usa_20190707.h5"),
("data/hdf5/continuous_waveform_usa_20211108.h5", "data/hdf5/continuous_waveform_usa_20211108.h5"),
("data/hdf5/continuous_waveform_usa_20211109.h5", "data/hdf5/continuous_waveform_usa_20211109.h5"),
("data/hdf5/continuous_waveform_usa_20211110.h5", "data/hdf5/continuous_waveform_usa_20211110.h5"),
("data/hdf5/continuous_waveform_usa_20211111.h5", "data/hdf5/continuous_waveform_usa_20211111.h5"),
("data/hdf5/continuous_waveform_usa_20211112.h5", "data/hdf5/continuous_waveform_usa_20211112.h5"),
("data/hdf5/continuous_waveform_usa_20211113.h5", "data/hdf5/continuous_waveform_usa_20211113.h5"),
("data/hdf5/continuous_waveform_usa_20211114.h5", "data/hdf5/continuous_waveform_usa_20211114.h5"),
("data/index/waveform_index.sqlite", "data/index/waveform_index.sqlite"),
("data/label/annotations_download_from_iris.json", "data/label/annotations_download_from_iris.json"),
("data/label/annotations_for_continuous_hdf5.json", "data/label/annotations_for_continuous_hdf5.json"),
("data/picks/output.jsonl", "data/picks/output.jsonl"),
]
# =========================
def upload_one(item):
local_path, remote_path = item
p = Path(local_path)
if not p.exists():
return False, local_path, f"本地文件不存在: {local_path}"
api = HubApi()
print(f"[UPLOAD START] {local_path} -> {repo_id}/{remote_path}")
try:
api.upload_file(
path_or_fileobj=str(p),
path_in_repo=remote_path,
repo_id=repo_id,
repo_type=repo_type,
commit_message=f"Upload {remote_path}",
)
return True, local_path, "OK"
except Exception as e:
return False, local_path, str(e)
def main():
api = HubApi()
# 如果没在命令行登录,可以取消下面这行注释
# api.login("your_token")
try:
api.create_repo(repo_id=repo_id, repo_type=repo_type)
print(f"[INFO] Repo created: {repo_id}")
except Exception as e:
print(f"[INFO] Repo may already exist: {repo_id}")
print(f" {e}")
print(f"[INFO] Total files: {len(files_to_upload)}")
print(f"[INFO] max_workers = {max_workers}")
failed = []
with ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = {
executor.submit(upload_one, item): item
for item in files_to_upload
}
for future in as_completed(futures):
ok, local_path, msg = future.result()
if ok:
print(f"[DONE] {local_path}")
else:
print(f"[FAILED] {local_path}")
print(f" {msg}")
failed.append((local_path, msg))
print("\n========== SUMMARY ==========")
print(f"success: {len(files_to_upload) - len(failed)}")
print(f"failed : {len(failed)}")
if failed:
print("\n失败文件:")
for local_path, msg in failed:
print(f"- {local_path}: {msg}")
else:
print("全部上传完成。")
if __name__ == "__main__":
main()