xsl
7bcbb8d40b
CI / lint / typecheck / import-linter / tests / secrets (push) Canceled after 0s
- 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
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
"""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）。
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覆盖：ok_dimension_keys 的可反馈维度集合口径（status=ok 才可选）、
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FeedbackCreateRequest 的 verdict 枚举与 correction 长度上限。
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"""
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from __future__ import annotations
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import pytest
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from pydantic import ValidationError
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from packages.report.feedback_service import ok_dimension_keys
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from packages.report.schemas import FeedbackCreateRequest
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def _result(dimensions: list[dict[str, object]]) -> dict[str, object]:
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return {"diagnosis": {"dimensions": dimensions, "coverage": {"total": len(dimensions)}}}
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class TestOkDimensionKeys:
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def test_only_status_ok_dimensions_are_feedbackable(self) -> None:
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result = _result(
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[
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{"key": "body_shape", "status": "ok"},
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{"key": "color_season", "status": "skipped"},
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{"key": "style_type", "status": "ok"},
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]
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)
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assert ok_dimension_keys(result) == {"body_shape", "style_type"}
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def test_empty_or_missing_diagnosis_yields_empty(self) -> None:
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assert ok_dimension_keys({}) == set()
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assert ok_dimension_keys({"diagnosis": {}}) == set()
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assert ok_dimension_keys({"diagnosis": {"dimensions": "not-a-list"}}) == set()
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def test_malformed_items_are_ignored(self) -> None:
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result = _result(
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[
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"garbage",
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{"status": "ok"}, # 缺 key
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{"key": 123, "status": "ok"}, # key 非字符串
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{"key": "face_shape", "status": "ok"},
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]
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)
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assert ok_dimension_keys(result) == {"face_shape"}
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class TestFeedbackCreateRequest:
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def test_verdict_enum_rejects_unknown_value(self) -> None:
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with pytest.raises(ValidationError):
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FeedbackCreateRequest.model_validate(
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{"dimension_key": "body_shape", "verdict": "kind-of"}
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)
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def test_correction_max_200_chars(self) -> None:
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with pytest.raises(ValidationError):
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FeedbackCreateRequest.model_validate(
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{
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"dimension_key": "body_shape",
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"verdict": "inaccurate",
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"correction": "长" * 201,
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}
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)
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def test_minimal_valid_payload(self) -> None:
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req = FeedbackCreateRequest.model_validate(
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{"dimension_key": "body_shape", "verdict": "accurate"}
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)
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assert req.correction is None
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