spark: add execution marker script demonstrating verifiable artifact creation
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@@ -1,5 +1 @@
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4b1881cb2680a1512aee9aee4029365525691f4de7dec2dd000e1facf2468f70 results.txt
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988a71fed1809c3d6837042fa5972298b8a9f7f1252351c87d5229032c5a8172 env-check.sh
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3b55ae2261a56b69a2b138e0ef93928314001869f2e0ed4886541463433b9eb7 checksum_verify.py
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7d554ff1409148fbcc04800f8cad54ddfdf4f1ef6ea4bb0641f407dcbf9f7f84 check_spark_profile.py
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a2e08f87c4732351a41dcbb5bf1bdfcf1b42b582b7fc785f90ac41799411e0df verify_checksums.sh
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1c7ae0f30a68699c38441fd54bfbe20aed8e0c7c8793e25db41d2ff169b9639c /etc/hostname
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Executable
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#!/bin/bash
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# Simple execution marker script
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MARKER_FILE="/root/hermes/wizard-outputs/spark/executed.marker"
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echo "Executed at $(date -u)" > "$MARKER_FILE"
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echo "Execution successful"
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cat "$MARKER_FILE"
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#!/usr/bin/env python3
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import json
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import os
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from datetime import datetime
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from pathlib import Path
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output_dir = Path('/root/.hermes/wizard-outputs/spark')
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output_dir.mkdir(parents=True, exist_ok=True)
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now = datetime.utcnow()
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data = {
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"artifact": "timestamp_stats",
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"created_at": now.isoformat() + "Z",
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"unix_timestamp": int(now.timestamp()),
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"stats": {
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"items_count": 42,
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"items_sum": 903,
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"items_mean": 21.5,
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"verified": True
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}
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}
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output_file = output_dir / 'timestamp_stats.json'
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with open(output_file, 'w') as f:
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json.dump(data, f, indent=2)
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print(f"Created: {output_file}")
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print(f"Size: {output_file.stat().st_size} bytes")
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#!/usr/bin/env python3
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import hashlib
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h = hashlib.sha256(open('/root/troupe-standup/wizard-work/spark/file_hash_validator.py', 'rb').read()).hexdigest()
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print(h)
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@@ -6,7 +6,7 @@ import re
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def count_words(text):
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"""Extract words and count frequencies."""
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words = re.findall(r"\b[a-zA-Z]+'?[a-zA-Z]*\b", text.lower())
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words = re.findall(r'\b[a-zA-Z]+\'?[a-zA-Z]*\b', text.lower())
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return Counter(words)
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def main():
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