dongarandClaude Opus 5.5
154a0c3fa8
What isn't the dev agent's moves to nisse-core, unchanged in behaviour, with its tests: canonical, render, render_anthropic, llm, catalog, probe, context, views, state, reconcile, worker, cancel, dump, transport, matrix, execution, testing, vault, memory, oplog, envfile and gitea (whole). - nisse_core.state.StateStore holds the tables every agent has; an agent's subclass adds its tables (version, migrations), roles and views. nisse_dev.state.StateStore adds the build VM blocks (v5). - views.project takes what each role is shown, rather than a fixed table. - Vault takes the agent's name (agent=), for provenance. - A test that nisse_core never imports an agent. - The loop, config, git, delegation, expert, tools and evals stay in nisse-dev until nisse-ops has a loop to share. Docs: the Development Plan marks M7.1 done and notes that Phase 6 waits on the agent host and Terraform; Architecture Part L names the package. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""Structured operational logging (architecture L12).
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One JSON object per line to stderr (journald captures it when running as a
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service). Every event carries the fixed envelope: ts, agent, event, task_id,
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cause. Logs are diagnostic, never load-bearing — nothing may read them back
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to derive state.
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"""
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import json
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import sys
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from datetime import UTC, datetime
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from typing import Any, TextIO
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class OpLog:
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def __init__(self, agent: str, stream: TextIO | None = None) -> None:
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self.agent = agent
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# Correlation ID for the enclosing unit of work; the orchestrator sets
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# it when a unit starts and clears it when the unit ends (L12).
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self.task_id: str | None = None
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self._stream = stream if stream is not None else sys.stderr
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def emit(self, event: str, *, cause: str, **fields: Any) -> None:
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record: dict[str, Any] = {
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"ts": datetime.now(UTC).isoformat(),
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"agent": self.agent,
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"event": event,
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"task_id": self.task_id,
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"cause": cause,
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**fields,
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}
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self._stream.write(json.dumps(record) + "\n")
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self._stream.flush()
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