## Summary epic r04 - begin refactor ## Change Type - [x] Cowork feature - [ ] Bug fix - [ ] Core AI contribution - [ ] Test / hardening - [ ] Performance - [ ] Documentation ## Related Work Cowork Task: Core Repo: http://34.143.229.138/gitea-admin/fsg-ai-core-assets Core AI Issue: Core Task: Related PR: ## Scope What is intentionally included? What is intentionally NOT included? ## Validation - [ ] Unit tests - [ ] Integration tests - [ ] Manual verification - [ ] Regression check Commands / evidence: ## Security Impact Permission / credential / network / customer data impact: ## Compatibility - [ ] No breaking change - [ ] Breaking change documented ## Reviewer Notes Anything Cowork reviewers should pay attention to. --------- Co-authored-by: Anh Tran Nguyen Minh <anhtnm1@fpt.com> Co-authored-by: Huong Le Thi Thien <huongltt35@fpt.com> Co-authored-by: Nam Pham Dinh Thanh <nampdt@fpt.com> Co-authored-by: Vu Dam Tuan <vudt15@fpt.com> Co-authored-by: Hiep Ha Van <hiephv3@fpt.com> Co-authored-by: Lam Hoang Van <lamhv7@fpt.com> Reviewed-on: #7 Co-authored-by: Duy Le Huu <duylh19@fpt.com>
This commit was merged in pull request #7.
This commit is contained in:
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"""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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"""Một sự kiện kiểm toán ở dạng tầng application dùng — không phụ thuộc khuôn
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lưu trên đĩa, nên đổi định dạng nhật ký không kéo theo sửa giao diện.
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"""
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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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"""Bản ghi dưới dạng dict cho lớp giao diện."""
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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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