Upload source/combine_and_upload.py with huggingface_hub

source/combine_and_upload.py

@@ -0,0 +1,66 @@
+import os, glob, time
+from huggingface_hub import HfApi
+
+TOKEN = 'HF_TOKEN_REDACTED'
+REPO = 'OpenTransformer/web-crawl-2026'
+OUT = '/workspace/crawl_mega_20260323.jsonl.gz'
+
+# Gather all .gz files that haven't been uploaded yet
+files_to_combine = []
+
+# Combined crawl files
+for f in sorted(glob.glob('/workspace/combined_crawl_*.jsonl.gz')):
+    files_to_combine.append(f)
+
+# Go chunks
+for f in sorted(glob.glob('/workspace/scraped_data_go/*.jsonl.gz')):
+    files_to_combine.append(f)
+
+# Rust staging
+for f in sorted(glob.glob('/workspace/staging/*.jsonl.gz')):
+    files_to_combine.append(f)
+
+print(f'Found {len(files_to_combine)} files to combine')
+for f in files_to_combine:
+    sz = os.path.getsize(f) / (1024*1024)
+    print(f'  {f}: {sz:.0f}MB')
+
+# Concatenate gz files (gz files can be concatenated directly)
+total = 0
+with open(OUT, 'wb') as out:
+    for f in files_to_combine:
+        sz = os.path.getsize(f)
+        total += sz
+        print(f'Appending {f} ({sz/(1024*1024):.0f}MB)...')
+        with open(f, 'rb') as inp:
+            while True:
+                chunk = inp.read(8*1024*1024)
+                if not chunk:
+                    break
+                out.write(chunk)
+
+total_gb = total / (1024*1024*1024)
+final_sz = os.path.getsize(OUT) / (1024*1024*1024)
+print(f'Combined {len(files_to_combine)} files, total: {total_gb:.2f}GB, output: {final_sz:.2f}GB')
+
+if final_sz < 0.1:
+    print('Output too small, skipping upload')
+    exit(1)
+
+# Upload
+print(f'Uploading {OUT} to {REPO}...')
+api = HfApi(token=TOKEN)
+api.upload_file(
+    path_or_fileobj=OUT,
+    path_in_repo=f'crawl/mega/crawl_mega_20260323.jsonl.gz',
+    repo_id=REPO,
+    repo_type='dataset',
+)
+print('Upload complete!')
+
+# Clean up combined files after successful upload
+os.remove(OUT)
+for f in files_to_combine:
+    os.remove(f)
+    print(f'Removed {f}')
+print('Cleanup done')