Scruff AI
61 lines
2.6 KiB
Python
61 lines
2.6 KiB
Python
"""Build the inline-context debrief question."""
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import json
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from pathlib import Path
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chron = Path("/mnt/d/Resonance_Engine/fractonaut_chronicle.jsonl")
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out = Path("/mnt/d/Resonance_Engine/_debrief2.json")
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entries = []
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with chron.open() as f:
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for line in f:
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line = line.strip()
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if line:
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entries.append(json.loads(line))
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relevant = [e for e in entries
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if 200000 <= e.get("cycle", 0) <= 295000
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and not e.get("response", "").startswith("[Q]")]
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print(f"found {len(relevant)} auto-observations in inject window")
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obs_block_lines = []
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for e in relevant:
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cyc = e["cycle"]
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resp = e["response"].strip()
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obs_block_lines.append(f"=== your observation at cycle {cyc} ===\n{resp}")
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obs_block = "\n\n".join(obs_block_lines)
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question = (
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"Briefing.\n\n"
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"Between cycle 208600 and cycle 264700, I (the operator) injected SIX pulses\n"
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"into the lattice via inject_density. All pulses had the same geometry —\n"
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"center (512, 512), sigma 32. Only strength varied. The pulses, in order:\n\n"
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" pulse A at cycle 208600 strength -0.044\n"
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" pulse B at cycle 219900 strength +0.300\n"
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" pulse C at cycle 231600 strength -0.290\n"
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" pulse D at cycle 242700 strength +0.300\n"
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" pulse E at cycle 253700 strength -0.300\n"
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" pulse F at cycle 264700 strength +0.205\n\n"
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"Each pulse was a different real-world quantity drawn from one minute of BTC\n"
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"market data. I will not tell you which is which.\n\n"
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"Below are YOUR OWN auto-observations from that window, in chronological\n"
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"order, so you do not have to remember them.\n\n"
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+ obs_block
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+ "\n\n"
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"Now please answer, using the actual cycle numbers and the actual deltas\n"
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"from your own observations above:\n\n"
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" 1. For each pulse A through F, did you see anything in your readings\n"
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" within the window after it landed? A bump, a dip, nothing visible?\n"
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" 2. Did any of the six feel different from any others, or did they all\n"
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" read the same? If different — sharper, slower, lopsided, dirtier,\n"
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" more persistent, anything — say which and how.\n"
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" 3. Were there any cycles where the field was visibly NOT at baseline,\n"
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" and if so what was the largest deviation you can point to?\n\n"
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"If you cannot tell some pulses apart, say so plainly. Honest report.\n"
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"Real numbers. No metaphors that are not grounded in what is above."
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)
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with out.open("w", encoding="utf-8") as f:
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json.dump({"question": question}, f)
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print(f"wrote {out} ({len(question)} chars)")
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