feat(investigations): refine report authoring and replay flushing

2026-11-14 23:00:15 +08:00
parent 2e4f6cb93b
commit b45c5c6f46
27 changed files with 1125 additions and 94 deletions
@@ -0,0 +1,96 @@
+"""New publications are readable; historical reports keep their original evidence."""
+from copy import deepcopy
+
+import pytest
+
+from app.domain.schemas.operational_task import (
+    InvestigationProgress,
+    InvestigationProgressInput,
+    InvestigationReport,
+    InvestigationReportInput,
+)
+
+
+def report():
+    return {
+        "title": "压力异常恢复复核报告",
+        "current_conclusion": "恢复复核通过。7 月 16 日 13:15，13 台复核设备均处于历史正常范围。",
+        "conclusion_boundary": "依据完工后的一个采样时刻判断恢复，长期稳定性继续由日常监测跟踪。",
+        "stage": "final", "outcome": "concluded", "data_gaps": [],
+        "evidence_refs": ["recovery:sha256:stored-evidence"],
+        "recommendations": ["继续监测压力与流量。"], "pending_items": [],
+    }
+
+
+@pytest.mark.parametrize("text", [
+    "恢复复核 status=passed，13 台设备 normal。",
+    "第 3 轮 execution_generation=3，handling_context.phase=verification_ready。",
+    "完工后 required_samples=1，interval_seconds=900，verified_through=13:15。",
+    "已读取 recovery:sha256:01234567，复核通过。",
+    "Skill scada-anomaly v1.0.16 已按 Server 分发执行。",
+    "query_scada_readings 已执行，query_complete=true。",
+    "关联工单 60000000-0000-4000-8000-000000000002 已完工。",
+    "恢复采样时间为 2026-07-16T05:15:00Z。",
+    "恢复采样时间为 2026-07-16 13:15（UTC+8）。",
+    "恢复采样时间为 2026-07-16 13:15+08:00。",
+    "**恢复复核通过**，其余设备正常。",
+    "<strong>恢复复核通过</strong>。",
+])
+def test_new_report_and_progress_reject_execution_details_and_raw_display_markup(text):
+    legacy = {**report(), "current_conclusion": text}
+    assert InvestigationReport.model_validate(legacy).current_conclusion == text
+    assert InvestigationProgress.model_validate({"summary": text}).summary == text
+    with pytest.raises(ValueError):
+        InvestigationReportInput.model_validate(legacy)
+    with pytest.raises(ValueError):
+        InvestigationProgressInput.model_validate({"summary": text})
+
+
+@pytest.mark.parametrize(("field", "limit"), [
+    ("title", 80), ("current_conclusion", 300), ("conclusion_boundary", 240),
+])
+def test_new_report_bounds_summary_fields_without_truncating_history(field, limit):
+    valid = {**report(), field: "测" * limit}
+    assert getattr(InvestigationReportInput.model_validate(valid), field) == valid[field]
+    too_long = {**valid, field: "测" * (limit + 1)}
+    assert getattr(InvestigationReport.model_validate(too_long), field) == too_long[field]
+    with pytest.raises(ValueError):
+        InvestigationReportInput.model_validate(too_long)
+
+
+def test_progress_summary_is_short_and_keeps_technical_references_structured():
+    progress = {"summary": "测" * 300, "graph_update": {"nodes": [{
+        "node_id": "recovery", "label": "恢复监测复核通过", "status": "recorded",
+        "evidence_refs": ["recovery:sha256:stored-evidence"],
+    }]}}
+    assert InvestigationProgressInput.model_validate(progress).summary == progress["summary"]
+    with pytest.raises(ValueError):
+        InvestigationProgressInput.model_validate({**progress, "summary": "测" * 301})
+
+
+def test_asset_ids_measurements_and_evidence_linked_tables_remain_publishable():
+    value = report()
+    value["current_conclusion"] = "05:00-08:00 的候选管段 515870（DN600）相似度 97.08%，尚待现场核验。压力测点 170486 回升至 26.12 m。"
+    value["ui_blocks"] = [{"evidence_refs": value["evidence_refs"], "block": {
+        "version": "answer-ui@1", "block_id": "recovery-table", "phase": "final",
+        "fallback_text": "压力测点 170486 恢复至 26.12 m。",
+        "spec": {"root": "table", "elements": {"table": {
+            "type": "Table", "children": [], "props": {
+                "title": "恢复监测明细", "columns": ["测点", "修复后", "正常范围"],
+                "rows": [["170486", "26.12 m", "26.02 至 26.30 m"]],
+            },
+        }}},
+    }}]
+    assert InvestigationReportInput.model_validate(value).ui_blocks
+    leaked = deepcopy(value)
+    leaked["ui_blocks"][0]["block"]["spec"]["elements"]["table"]["props"]["rows"][0][2] = "status=passed"
+    assert InvestigationReport.model_validate(leaked).ui_blocks
+    with pytest.raises(ValueError):
+        InvestigationReportInput.model_validate(leaked)
+
+
+@pytest.mark.parametrize("field", ["recommendations", "pending_items"])
+def test_follow_up_is_business_prose(field):
+    value = {**report(), field: ["等待 handling_context.phase=waiting_scada。"]}
+    with pytest.raises(ValueError):
+        InvestigationReportInput.model_validate(value)