Upload mcp_remote_daily_job.py with huggingface_hub

mcp_remote_daily_job.py

@@ -3,7 +3,6 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "datasets",
-#     "huggingface_hub",
 # ]
 # ///
 
@@ -23,23 +22,22 @@ import re
 from datetime import datetime
 from collections import defaultdict
 from datasets import load_dataset
-from huggingface_hub import login
 
 
 def main():
-    # Get HF_TOKEN from environment
+    # Debug: print available environment variables
+    print(f"[{datetime.now().isoformat()}] Environment check", file=sys.stderr)
     hf_token = os.environ.get("HF_TOKEN")
-
     if hf_token:
-        # Login to huggingface_hub for private dataset access
-        login(token=hf_token)
-        print(f"[{datetime.now().isoformat()}] Authenticated to Hugging Face", file=sys.stderr)
+        print(f"[{datetime.now().isoformat()}] HF_TOKEN is set (length: {len(hf_token)})", file=sys.stderr)
+    else:
+        print(f"[{datetime.now().isoformat()}] WARNING: HF_TOKEN not set", file=sys.stderr)
 
     print(f"[{datetime.now().isoformat()}] Loading dataset from evalstate/hf-mcp-logs...", file=sys.stderr)
 
     # Load the source dataset (streaming for large datasets)
-    # Login sets up authentication for datasets library
-    ds = load_dataset('evalstate/hf-mcp-logs', 'sessions', streaming=True)
+    # The HF_TOKEN should be available as environment variable when passed as secret
+    ds = load_dataset('evalstate/hf-mcp-logs', 'sessions', streaming=True, token=hf_token)
     sessions_ds = ds['sessions']
 
     # Pattern to detect mcp-remote suffix (any version)