Hiep Ha VanandClaude Sonnet 5
40b12ecb15
- ui/monitoring_tab.py (1546 dong) tach thanh presentation/monitoring/** (container + 7 tab/card + shared helper), ui/monitoring_tab.py con lai re-export shim de app.py khong doi. - infrastructure/telemetry/audit_logger.py: CanonicalAuditLogger, core/audit_log.py thanh wrapper mong, tuong thich nguoc 100% voi schema .jsonl cu. - application/monitoring/monitoring_query_service.py: MonitoringQueryService read-only, filter/sort/pagination, khong import PySide6. - Go circular import model_pricing<->usage_tracker va agent_security<-> agent_security_alert (core/agent_security_types.py moi). - infrastructure/sandbox/sandbox_capabilities.py: SandboxCapabilityMatrix theo OS (Windows/Linux/macOS), chua dau noi vao core/sandbox_manager.py. - conftest.py: sua loi checkout khong ten cowork_local khien pytest import nham thu muc khac. - 77 test moi, 167/167 pass. QA da xac nhan UI/business logic khong doi (xem evidence/report/unified_report.html). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
"""Application-layer view of an audit event — decoupled from the
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infrastructure ``CanonicalAuditEvent`` so ``application/`` doesn't need to
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share a concrete class with ``infrastructure/`` (only the shape). Field names
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match the canonical audit schema (see
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``infrastructure/telemetry/audit_logger.py``) 1:1.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any, Dict
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@dataclass(frozen=True)
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class AuditEventDTO:
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ts: str
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kind: str
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name: str
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ok: bool
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detail: str
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agent_role: str = ""
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account: str = ""
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role: str = ""
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machine: str = ""
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@classmethod
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def from_raw(cls, raw: Dict[str, Any]) -> "AuditEventDTO":
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"""Tolerant of missing keys — accepts both a
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``CanonicalAuditEvent.to_dict()`` result and any historical raw
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``.jsonl`` row."""
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return cls(
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ts=str(raw.get("ts", "")),
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kind=str(raw.get("kind", "")),
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name=str(raw.get("name", "")),
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ok=bool(raw.get("ok", False)),
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detail=str(raw.get("detail", "")),
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agent_role=str(raw.get("agent_role", "")),
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account=str(raw.get("account", "")),
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role=str(raw.get("role", "")),
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machine=str(raw.get("machine", "")),
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)
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def to_dict(self) -> Dict[str, Any]:
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return {
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"ts": self.ts, "kind": self.kind, "agent_role": self.agent_role,
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"name": self.name, "ok": self.ok, "detail": self.detail,
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"account": self.account, "role": self.role, "machine": self.machine,
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}
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