Upload scripts/upload_files_to_hf.py

scripts/upload_files_to_hf.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+from pathlib import Path
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from huggingface_hub import HfApi, create_repo
+
+# ========= 配置区 =========
+repo_id = "cangyeone/SeismicX-Cont"
+repo_type = "dataset"
+
+max_workers = 8  # 30GB 大文件建议 2；网络很好可改成 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 = HfApi()
+
+    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():
+    create_repo(
+        repo_id=repo_id,
+        repo_type=repo_type,
+        exist_ok=True,
+    )
+
+    print(f"[INFO] Repo ready: {repo_id}")
+    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()