Upload mcp_remote_daily_job.py with huggingface_hub
Browse files- mcp_remote_daily_job.py +6 -12
mcp_remote_daily_job.py
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@@ -13,28 +13,26 @@ This script analyzes the evalstate/hf-mcp-logs dataset to calculate what proport
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of sessions included "mcp-remote" in the client name on a daily basis.
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Usage:
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uv run mcp_remote_daily_job.py
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"""
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import sys
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import re
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import argparse
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from datetime import datetime
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from collections import defaultdict
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from datasets import load_dataset
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def main():
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args = parser.parse_args()
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print(f"[{datetime.now().isoformat()}] Loading dataset from evalstate/hf-mcp-logs...", file=sys.stderr)
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if args.limit:
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print(f"[{datetime.now().isoformat()}] LIMIT MODE: Will process at most {args.limit:,} rows", file=sys.stderr)
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# Load the source dataset (streaming for large datasets)
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sessions_ds = ds['sessions']
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# Pattern to detect mcp-remote suffix (any version)
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@@ -59,10 +57,6 @@ def main():
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print(f"[{datetime.now().isoformat()}] Progress: {total_rows:,} rows processed "
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f"({rate:.0f} rows/sec)", file=sys.stderr)
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if args.limit and total_rows >= args.limit:
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print(f"[{datetime.now().isoformat()}] Reached limit of {args.limit:,} rows", file=sys.stderr)
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break
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for i in range(batch_len):
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time_str = batch['time'][i]
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name = batch['name'][i]
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of sessions included "mcp-remote" in the client name on a daily basis.
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Usage:
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uv run mcp_remote_daily_job.py
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"""
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import sys
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import os
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import re
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from datetime import datetime
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from collections import defaultdict
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from datasets import load_dataset
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def main():
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# Get HF_TOKEN from environment (passed as secret in HF Jobs)
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hf_token = os.environ.get("HF_TOKEN")
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print(f"[{datetime.now().isoformat()}] Loading dataset from evalstate/hf-mcp-logs...", file=sys.stderr)
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# Load the source dataset (streaming for large datasets)
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# Pass token explicitly for private dataset access
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ds = load_dataset('evalstate/hf-mcp-logs', 'sessions', streaming=True, token=hf_token)
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sessions_ds = ds['sessions']
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# Pattern to detect mcp-remote suffix (any version)
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print(f"[{datetime.now().isoformat()}] Progress: {total_rows:,} rows processed "
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f"({rate:.0f} rows/sec)", file=sys.stderr)
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for i in range(batch_len):
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time_str = batch['time'][i]
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name = batch['name'][i]
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