feat(agent,report): 会话持久化与画像注入、报告反馈与预约留资——PM/开发双Agent迭代1-3

- agent: ag_conversation/ag_message 表(迁移0007),上下文组装注入最近报告画像摘要 (report.profile.latest_profile_summary 经 apps 层闭包注入,同层不互调),历史带最近 AGENT_HISTORY_TURNS=10 轮;POST/GET /agent/conversations 与消息历史接口 - agent 修复:ChatRequest.conversation_id 改 str(雪花ID超2^53,JS Number丢精度); _build_context 挪进 reserve commit 后同一 try,异常走 refund 兜底 - report: rp_feedback(维度反馈 upsert,认同率/修正率 SQL 可算,T-P3-21 最小版—— L1 记忆未建,不回写结论)+ rp_reservation(预约留资幂等,T-P3-22,预约率口径行数/full_report.card_view 去重曝光,门槛≥8%),迁移0008 - 测试:全量 606 passed;ruff/mypy/lint-imports 全绿;E2E 真实 deepseek-v4-flash 验证画像注入与历史携带
2026-09-11 21:50:58 +08:00
parent 00ef56b08b
commit 7bcbb8d40b
25 changed files with 1860 additions and 25 deletions
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+"""报告结论反馈的纯函数与 schema 校验（T-P3-21 最小可用版，不连库）。
+
+覆盖：ok_dimension_keys 的可反馈维度集合口径（status=ok 才可选）、
+FeedbackCreateRequest 的 verdict 枚举与 correction 长度上限。
+"""
+
+from __future__ import annotations
+
+import pytest
+from pydantic import ValidationError
+
+from packages.report.feedback_service import ok_dimension_keys
+from packages.report.schemas import FeedbackCreateRequest
+
+
+def _result(dimensions: list[dict[str, object]]) -> dict[str, object]:
+    return {"diagnosis": {"dimensions": dimensions, "coverage": {"total": len(dimensions)}}}
+
+
+class TestOkDimensionKeys:
+    def test_only_status_ok_dimensions_are_feedbackable(self) -> None:
+        result = _result(
+            [
+                {"key": "body_shape", "status": "ok"},
+                {"key": "color_season", "status": "skipped"},
+                {"key": "style_type", "status": "ok"},
+            ]
+        )
+        assert ok_dimension_keys(result) == {"body_shape", "style_type"}
+
+    def test_empty_or_missing_diagnosis_yields_empty(self) -> None:
+        assert ok_dimension_keys({}) == set()
+        assert ok_dimension_keys({"diagnosis": {}}) == set()
+        assert ok_dimension_keys({"diagnosis": {"dimensions": "not-a-list"}}) == set()
+
+    def test_malformed_items_are_ignored(self) -> None:
+        result = _result(
+            [
+                "garbage",
+                {"status": "ok"},  # 缺 key
+                {"key": 123, "status": "ok"},  # key 非字符串
+                {"key": "face_shape", "status": "ok"},
+            ]
+        )
+        assert ok_dimension_keys(result) == {"face_shape"}
+
+
+class TestFeedbackCreateRequest:
+    def test_verdict_enum_rejects_unknown_value(self) -> None:
+        with pytest.raises(ValidationError):
+            FeedbackCreateRequest.model_validate(
+                {"dimension_key": "body_shape", "verdict": "kind-of"}
+            )
+
+    def test_correction_max_200_chars(self) -> None:
+        with pytest.raises(ValidationError):
+            FeedbackCreateRequest.model_validate(
+                {
+                    "dimension_key": "body_shape",
+                    "verdict": "inaccurate",
+                    "correction": "长" * 201,
+                }
+            )
+
+    def test_minimal_valid_payload(self) -> None:
+        req = FeedbackCreateRequest.model_validate(
+            {"dimension_key": "body_shape", "verdict": "accurate"}
+        )
+        assert req.correction is None