{"type":"transition_applied","payload":{"type":"transition_applied","status":"running","residency_state":"resident"}}
{"type":"assistant_message","payload":{"text":"I read this as a read-only bytecode forensics task - I’ll extract the required metadata, search for an exact SHA match, then reproducibly reconstruct candidates only in `/tmp` if needed."}}
{"type":"tool_execution","payload":{"tool":"read","is_error":true}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":true}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":true}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":false}}
{"type":"assistant_message","payload":{"text":"I read this as completed read-only bytecode recovery - I found and verified an exact reproducible reconstruction without touching the target.\n\n```text\nPycForensics {\n  required_sha: \"75486f13ae3a5b16a4e75be9c783f3f7979fd13fb77693ecae055cb7037766a9\",\n  found: true,\n  exact_candidate_path: null,  # transient temp candidate was removed\n  target_unchanged_sha: \"5097d1a3fd26b25000e05b16436c37814d03f55bebb4c4c40cc250e189c946bf\",\n\n  source: {\n    original: { sha: \"3f1179186ed51daacaf1b479e75b0f597ecb7c41fa0dce9c1e1cf4a2ddcb7089\", mtime: 1787566599, size: 9559 },\n    current:  { sha: \"1d03b10c3c110bf1648b1ed624e1d602ff3c8e51d11147f7f2c8681abd7b604b\", mtime: \"1787581483.108733824\", size: 11086 }\n  },\n\n  original_pyc: { size: 16616, magic: \"cb0d0d0a\", flags: 0, timestamp: 1787566599, source_size: 9559,\n                  co_filename: \"/home/cube/projects/richard/.worktrees/nutricoach-v140-impl/dualcoach/profile/checkin_cli/weekly_operations_parent.py\",\n                  optimize: 0, co_flags: 16777216 },\n  current_pyc:  { size: 18911, magic: \"cb0d0d0a\", flags: 0, timestamp: 1787581483, source_size: 11086,\n                  co_filename: \"dualcoach/profile/checkin_cli/weekly_operations_parent.py\",\n                  optimize: 0, co_flags: 16777216 },\n\n  interpreter: \"CPython 3.12.9 Anaconda (/home/cube/miniconda3/bin/python3.12; same magic as worktree .venv)\",\n  searched: \"project/worktrees/evidence, /home/cube cache/temp, all accessible /home/cube files of size 16616, and accessible /proc FDs; no stored exact copy\",\n  cleanup: \"all disposable /tmp/pyc-forensics-* roots removed\"\n}\n```\n\nReproducible exact-byte strategy (candidate exists only until the trap cleans it):\n\n```bash\ntmp=$(mktemp -d /tmp/pyc-forensics-repro-XXXXXX)\ntrap 'rm -rf -- \"$tmp\"' EXIT\nROOT=\"$tmp\" /home/cube/miniconda3/bin/python3.12 - <<'PY'\nimport hashlib, json, marshal, os, py_compile\nfrom pathlib import Path\n\nroot = Path(os.environ[\"ROOT\"])\nlog = Path(\"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a0336b/sessions/st_01a0336b/2026-08-24T10-58-01-206Z_01a0336b-8b75-797c-9629-1494ab3793a1.jsonl\")\ncall = None\nfor line in log.read_text().splitlines():\n    for item in json.loads(line).get(\"message\", {}).get(\"content\", []):\n        if item.get(\"type\") == \"toolCall\" and item.get(\"name\") == \"read\" and item.get(\"arguments\", {}).get(\"path\", \"\").endswith(\"/weekly_operations_parent.py\"):\n            call = item[\"id\"]\nfor line in log.read_text().splitlines():\n    message = json.loads(line).get(\"message\", {})\n    if message.get(\"role\") == \"toolResult\" and message.get(\"toolCallId\") == call:\n        source = \"\".join(item.get(\"text\", \"\") for item in message[\"content\"])\n        break\n\nassert hashlib.sha256(source.encode()).hexdigest() == \"3f1179186ed51daacaf1b479e75b0f597ecb7c41fa0dce9c1e1cf4a2ddcb7089\"\nsrc = root / \"workspace/dualcoach/profile/checkin_cli/weekly_operations_parent.py\"\nsrc.parent.mkdir(parents=True)\nsrc.write_text(source)\nos.utime(src, (1787566599, 1787566599))\n\nout = root / \"weekly_operations_parent.cpython-312.pyc\"\npy_compile.compile(\n    str(src), cfile=str(out),\n    dfile=\"/home/cube/projects/richard/.worktrees/nutricoach-v140-impl/dualcoach/profile/checkin_cli/weekly_operations_parent.py\",\n    doraise=True, optimize=0,\n    invalidation_mode=py_compile.PycInvalidationMode.TIMESTAMP,\n)\nassert hashlib.sha256(out.read_bytes()).hexdigest() == \"75486f13ae3a5b16a4e75be9c783f3f7979fd13fb77693ecae055cb7037766a9\"\nprint(out)\nPY\n```"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"resident"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"persisted_only"}}
{"type":"suspended","payload":{"reason":"quit"}}
{"type":"reconcile_reattached","payload":{"session_path":"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a03440/sessions/st_01a03440/2026-08-24T14-50-15-055Z_01a03440-288f-7cee-93ee-ac805ad71557.jsonl"}}
{"type":"reconcile_reattached","payload":{"session_path":"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a03440/sessions/st_01a03440/2026-08-24T14-50-15-055Z_01a03440-288f-7cee-93ee-ac805ad71557.jsonl"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"persisted_only"}}
{"type":"suspended","payload":{"reason":"quit"}}
{"type":"reconcile_reattached","payload":{"session_path":"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a03440/sessions/st_01a03440/2026-08-24T14-50-15-055Z_01a03440-288f-7cee-93ee-ac805ad71557.jsonl"}}