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[migrate]:[FL-30][加装避雷器复算与报告表14]

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Co-authored-by: multica-agent <github@multica.ai>
This commit is contained in:
chengkai3
2026-06-07 23:48:32 +08:00
parent 0746e3ce28
commit a9e2e587ae
7 changed files with 1054 additions and 27 deletions
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api/app/schemas/fl_analysis.py
+6 -1
View File
@@ -95,7 +95,12 @@ class FlAnalysisJobCreateRequest(BaseModel):
)
execution_options_json: dict[str, Any] = Field(
default_factory=dict,
description="normal/tongtiao 任务可传波形、闪络判据以及波头/波尾扫描参数；mitigation 任务可传 source_job_id、selected_tower_ids、non_construction。",
description=(
"normal/tongtiao 任务可传波形、闪络判据以及波头/波尾扫描参数；"
"mitigation 任务可传 source_job_id、selected_tower_ids、non_construction；"
"scenario 任务可传 source_job_id、base_job_id、selected_tower_ids；"
"report 任务可传 source_job_id、selected_tower_ids。"
),
)
api/app/services/fl_analysis_report.py
+61 -1
View File
@@ -29,6 +29,7 @@ def build_report_summary_payload(report_data: Mapping[str, Any]) -> dict[str, An
risk_rows = _read_rows(report_data, "risk_rows")
selected_risk_rows = _read_rows(report_data, "selected_risk_rows")
selected_mitigation_rows = _read_rows(report_data, "selected_mitigation_rows")
selected_scenario_rows = _read_rows(report_data, "selected_scenario_rows")
factor_counts: Counter[str] = Counter()
cause_counts: Counter[str] = Counter()
@@ -72,15 +73,20 @@ def build_report_summary_payload(report_data: Mapping[str, Any]) -> dict[str, An
"risk_job_name": _as_optional_str(report.get("risk_job_name")),
"mitigation_job_id": _as_optional_str(report.get("mitigation_job_id")),
"mitigation_job_name": _as_optional_str(report.get("mitigation_job_name")),
"scenario_job_id": _as_optional_str(report.get("scenario_job_id")),
"scenario_job_name": _as_optional_str(report.get("scenario_job_name")),
"selected_tower_count": len(selected_risk_rows),
"report_row_count": len(selected_mitigation_rows),
"scenario_row_count": len(selected_scenario_rows),
"risk_counts": _count_risk_levels(risk_rows),
"selected_risk_counts": _count_risk_levels(selected_risk_rows),
"post_mitigation_risk_counts": _count_risk_levels(selected_mitigation_rows),
"post_recalc_risk_counts": _count_risk_levels(selected_scenario_rows),
"selected_factor_trigger_counts": dict(factor_counts.most_common()),
"selected_cause_counts": dict(cause_counts.most_common()),
"mitigation_action_counts": dict(action_counts.most_common()),
"has_mitigation_data": bool(selected_mitigation_rows),
"has_scenario_data": bool(selected_scenario_rows),
}
@@ -90,6 +96,7 @@ def build_report_document(report_data: Mapping[str, Any]) -> tuple[str, bytes]:
risk_rows = _read_rows(report_data, "risk_rows")
selected_risk_rows = _read_rows(report_data, "selected_risk_rows")
selected_mitigation_rows = _read_rows(report_data, "selected_mitigation_rows")
selected_scenario_rows = _read_rows(report_data, "selected_scenario_rows")
summary = build_report_summary_payload(report_data)
generated_at = report.get("generated_at")
@@ -101,6 +108,10 @@ def build_report_document(report_data: Mapping[str, Any]) -> tuple[str, bytes]:
source_job_type = _format_job_type(_as_optional_str(report.get("source_job_type")))
source_job_name = _as_optional_str(report.get("source_job_name")) or "-"
mitigation_job_name = _as_optional_str(report.get("mitigation_job_name")) or "未关联措施任务"
scenario_job_name = _as_optional_str(report.get("scenario_job_name")) or "未关联复算任务"
scenario_base_job_type = _format_job_type(_as_optional_str(report.get("scenario_base_job_type")))
if scenario_base_job_type == "-":
scenario_base_job_type = "原计算任务"
factor_rows = [
[label, str(count)]
@@ -138,6 +149,21 @@ def build_report_document(report_data: Mapping[str, Any]) -> tuple[str, bytes]:
]
)
scenario_table_rows = []
for row in selected_scenario_rows:
result_json = _read_mapping(row, "result_json")
scenario_table_rows.append(
[
_display(row.get("tower_no")),
_format_number(result_json.get("counterstrike_withstand_ka")),
_format_number(result_json.get("counterstrike_trip_rate")),
_format_number(result_json.get("shielding_withstand_ka")),
_format_number(result_json.get("shielding_trip_rate")),
_format_total_trip_rate(result_json),
_format_risk_level(row.get("risk_level")),
]
)
html = f"""<!DOCTYPE html>
<html>
<head>
@@ -218,7 +244,7 @@ def build_report_document(report_data: Mapping[str, Any]) -> tuple[str, bytes]:
<tr>
<td><strong>生成时间</strong><br />{escape(generated_at_text)}</td>
<td><strong>报告来源</strong><br />{escape(source_job_type)} / {escape(source_job_name)}</td>
<td><strong>关联措施任务</strong><br />{escape(mitigation_job_name)}</td>
<td><strong>关联任务</strong><br />措施：{escape(mitigation_job_name)}<br />复算：{escape(scenario_job_name)}</td>
</tr>
</table>
@@ -240,6 +266,10 @@ def build_report_document(report_data: Mapping[str, Any]) -> tuple[str, bytes]:
<p>若已存在关联的措施推荐任务，则下表展示当前风险、建议后风险以及推荐动作；若尚未生成措施任务，则报告保留风险原因与通用治理建议。</p>
{_render_table(["杆塔号", "当前风险", "建议后风险", "改造动作", "措施结论"], mitigation_table_rows or [["-", "-", "-", "当前未关联成功的措施推荐任务", "-"]])}
<h3>表14 采取措施后的计算结果表</h3>
<p>若已生成与措施任务关联的加装避雷器复算任务，则下表按 {escape(scenario_base_job_type)} 口径展示补装避雷器后的耐雷水平、跳闸率与风险等级；若未生成复算任务，则此表保留为空。</p>
{_render_table(["杆塔号", "反击耐雷水平(kA)", "反击跳闸率", "绕击耐雷水平(kA)", "绕击跳闸率", "总雷击跳闸率", "风险等级"], scenario_table_rows or [["-", "-", "-", "-", "-", "-", "当前未关联成功的加装避雷器复算任务"]])}
<p class="muted">说明：本报告为可直接下载的 Word 兼容文档，内容按风险评估结果和已关联的措施推荐结果动态生成。</p>
</body>
</html>
@@ -267,6 +297,14 @@ def _format_job_type(value: str | None) -> str:
return "风险评估任务"
if value == "mitigation":
return "措施推荐任务"
if value == "normal":
return "普通计算任务"
if value == "tongtiao":
return "同跳计算任务"
if value == "scenario":
return "加装避雷器复算任务"
if value == "report":
return "报告任务"
return value or "-"
@@ -351,6 +389,21 @@ def _display(value: Any) -> str:
return text or "-"
def _format_number(value: Any) -> str:
parsed = _as_optional_float(value)
if parsed is None:
return "-"
return f"{parsed:.4f}".rstrip("0").rstrip(".")
def _format_total_trip_rate(result_json: Mapping[str, Any]) -> str:
counterstrike_value = _as_optional_float(result_json.get("counterstrike_trip_rate"))
shielding_value = _as_optional_float(result_json.get("shielding_trip_rate"))
if counterstrike_value is None and shielding_value is None:
return "-"
return _format_number((counterstrike_value or 0.0) + (shielding_value or 0.0))
def _as_optional_str(value: Any) -> str | None:
if value is None:
return None
@@ -358,6 +411,13 @@ def _as_optional_str(value: Any) -> str | None:
return text or None
def _as_optional_float(value: Any) -> float | None:
try:
return float(value)
except (TypeError, ValueError):
return None
def _as_int(value: Any) -> int | None:
if isinstance(value, bool):
return int(value)
api/app/services/fl_analysis_service.py
+313 -12
View File
@@ -186,10 +186,18 @@ def create_job(
)
execution_options = _normalize_execution_options(payload.job_type, payload.execution_options_json or {})
external_adapter = payload.external_adapter
adapter_config_json = payload.adapter_config_json or {}
if payload.job_type == "mitigation":
total_tower_count = _validate_mitigation_options(db, line_id=line.id, execution_options=execution_options)
elif payload.job_type == "report":
total_tower_count = _validate_report_options(db, line_id=line.id, execution_options=execution_options)
elif payload.job_type == "scenario":
scenario_config = _validate_scenario_options(db, line_id=line.id, execution_options=execution_options)
total_tower_count = int(scenario_config["total_tower_count"])
execution_options = dict(scenario_config["execution_options"])
external_adapter = str(scenario_config["external_adapter"])
adapter_config_json = dict(scenario_config["adapter_config_json"])
else:
total_tower_count = int(
db.scalar(
@@ -198,16 +206,16 @@ def create_job(
or 0
)
if payload.job_type in {"normal", "tongtiao"}:
if payload.external_adapter in {"atp", "wine"}:
if external_adapter in {"atp", "wine"}:
try:
resolve_external_waveform_job(
db,
external_adapter=payload.external_adapter,
adapter_config_json=payload.adapter_config_json or {},
external_adapter=external_adapter,
adapter_config_json=adapter_config_json,
)
except RuntimeError as exc:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
elif payload.external_adapter != "placeholder":
elif external_adapter != "placeholder":
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="普通计算和同跳计算仅支持 placeholder/atp/wine 适配器",
@@ -223,8 +231,8 @@ def create_job(
source_kind="line",
status="pending",
total_tower_count=total_tower_count,
external_adapter=payload.external_adapter,
adapter_config_json=payload.adapter_config_json or {},
external_adapter=external_adapter,
adapter_config_json=adapter_config_json,
execution_options_json=execution_options,
result_summary_json={},
create_date=now,
@@ -379,6 +387,7 @@ def execute_job(job_id: str) -> None:
)
return
waveform_job_type = _resolve_waveform_job_type(job_type=job.job_type, execution_options=execution_options)
towers = _load_job_towers(db, job=job, execution_options=execution_options)
if not towers:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="当前线路没有可分析的杆塔数据")
@@ -426,7 +435,7 @@ def execute_job(job_id: str) -> None:
external_job = None
stdout_chunks: list[str] = []
stderr_chunks: list[str] = []
if job.job_type in {"normal", "tongtiao"} and job.external_adapter in {"atp", "wine"}:
if waveform_job_type in {"normal", "tongtiao"} and job.external_adapter in {"atp", "wine"}:
external_job = resolve_external_waveform_job(
db,
external_adapter=job.external_adapter,
@@ -442,6 +451,8 @@ def execute_job(job_id: str) -> None:
"base_tower_json": snapshot.base_tower_json or {},
"profile_json": snapshot.profile_json or {},
}
if job.job_type == "scenario":
payload["profile_json"] = _apply_scenario_profile_json_overrides(snapshot.profile_json or {})
source_result = source_result_map.get(snapshot.tower_id)
if source_result:
payload["source_result_json"] = source_result
@@ -450,7 +461,7 @@ def execute_job(job_id: str) -> None:
payload,
non_construction=bool(execution_options.get("non_construction")),
)
elif job.job_type == "normal":
elif waveform_job_type == "normal":
baseline_result = grade_normal_snapshot_payload(payload, execution_options=execution_options)
if external_job is not None:
execution = execute_external_waveform_tower_analysis(
@@ -469,7 +480,7 @@ def execute_job(job_id: str) -> None:
stderr_chunks.append(f"[{snapshot.tower_no}] {execution.stderr_text}")
else:
graded = baseline_result
elif job.job_type == "tongtiao":
elif waveform_job_type == "tongtiao":
baseline_result = grade_tongtiao_snapshot_payload(payload, execution_options=execution_options)
if external_job is not None:
execution = execute_external_waveform_tower_analysis(
@@ -507,7 +518,7 @@ def execute_job(job_id: str) -> None:
_accumulate_result_summary(summary, graded)
tower = tower_map.get(snapshot.tower_id)
if tower is not None and job.job_type != "mitigation":
if tower is not None and job.job_type not in {"mitigation", "scenario"}:
tower.risk_level = graded["risk_level"]
tower.update_date = utcnow()
tower.update_user = job.update_user or job.create_user
@@ -522,7 +533,22 @@ def execute_job(job_id: str) -> None:
summary["source_job_id"] = execution_options.get("source_job_id")
summary["source_run_id"] = execution_options.get("source_run_id")
summary["non_construction"] = bool(execution_options.get("non_construction"))
elif job.job_type in {"normal", "tongtiao"}:
elif job.job_type == "scenario":
summary["selected_tower_count"] = len(towers)
summary["source_job_id"] = execution_options.get("source_job_id")
summary["source_run_id"] = execution_options.get("source_run_id")
summary["source_job_type"] = execution_options.get("source_job_type")
summary["mitigation_job_id"] = execution_options.get("mitigation_job_id")
summary["mitigation_job_name"] = execution_options.get("mitigation_job_name")
summary["risk_job_id"] = execution_options.get("risk_job_id")
summary["risk_job_name"] = execution_options.get("risk_job_name")
summary["base_job_id"] = execution_options.get("base_job_id")
summary["base_job_name"] = execution_options.get("base_job_name")
summary["base_job_type"] = waveform_job_type
summary["workflow"] = _workflow_summary_from_execution_options(execution_options)
if external_job is not None:
summary["external_engine_adapter"] = job.external_adapter
elif waveform_job_type in {"normal", "tongtiao"}:
summary["workflow"] = _workflow_summary_from_execution_options(execution_options)
if external_job is not None:
summary["external_engine_adapter"] = job.external_adapter
@@ -780,6 +806,17 @@ def _prepare_report_payload(
]
selected_mitigation_rows = _filter_rows_by_tower_ids(mitigation_rows, selected_tower_ids)
scenario_job_id = str(execution_options.get("scenario_job_id") or "")
scenario_run_id = str(execution_options.get("scenario_run_id") or "")
scenario_job = get_job_by_id(db, scenario_job_id) if scenario_job_id else None
selected_scenario_rows: list[dict[str, Any]] = []
if scenario_job is not None and scenario_run_id:
scenario_rows = [
_serialize_report_row(item)
for item in _load_result_rows(db, job_id=scenario_job_id, run_id=scenario_run_id)
]
selected_scenario_rows = _filter_rows_by_tower_ids(scenario_rows, selected_tower_ids)
source_job = get_job_by_id(db, str(execution_options.get("source_job_id") or ""))
line = risk_job.line or job.line
@@ -799,10 +836,21 @@ def _prepare_report_payload(
"risk_job_name": risk_job.job_name,
"mitigation_job_id": mitigation_job.id if mitigation_job else None,
"mitigation_job_name": mitigation_job.job_name if mitigation_job else None,
"scenario_job_id": scenario_job.id if scenario_job else None,
"scenario_job_name": scenario_job.job_name if scenario_job else None,
"scenario_base_job_type": (
_resolve_waveform_job_type(
job_type=scenario_job.job_type,
execution_options=scenario_job.execution_options_json or {},
)
if scenario_job is not None
else None
),
},
"risk_rows": risk_rows,
"selected_risk_rows": selected_risk_rows,
"selected_mitigation_rows": selected_mitigation_rows,
"selected_scenario_rows": selected_scenario_rows,
}
@@ -1217,6 +1265,37 @@ def _normalize_execution_options(job_type: str, execution_options: dict[str, Any
normalized["risk_run_id"] = risk_run_id
else:
normalized.pop("risk_run_id", None)
scenario_job_id = str(normalized.get("scenario_job_id") or "").strip()
if scenario_job_id:
normalized["scenario_job_id"] = scenario_job_id
else:
normalized.pop("scenario_job_id", None)
scenario_run_id = str(normalized.get("scenario_run_id") or "").strip()
if scenario_run_id:
normalized["scenario_run_id"] = scenario_run_id
else:
normalized.pop("scenario_run_id", None)
base_job_id = str(normalized.get("base_job_id") or "").strip()
if base_job_id:
normalized["base_job_id"] = base_job_id
else:
normalized.pop("base_job_id", None)
base_run_id = str(normalized.get("base_run_id") or "").strip()
if base_run_id:
normalized["base_run_id"] = base_run_id
else:
normalized.pop("base_run_id", None)
base_job_type = str(normalized.get("base_job_type") or "").strip()
if base_job_type:
normalized["base_job_type"] = base_job_type
else:
normalized.pop("base_job_type", None)
for text_key in ("base_job_name", "mitigation_job_name", "risk_job_name"):
text_value = str(normalized.get(text_key) or "").strip()
if text_value:
normalized[text_key] = text_value
else:
normalized.pop(text_key, None)
source_job_type = str(normalized.get("source_job_type") or "").strip()
if source_job_type:
normalized["source_job_type"] = source_job_type
@@ -1241,6 +1320,14 @@ def _normalize_execution_options(job_type: str, execution_options: dict[str, Any
normalized.pop("mitigation_run_id", None)
normalized.pop("risk_job_id", None)
normalized.pop("risk_run_id", None)
normalized.pop("scenario_job_id", None)
normalized.pop("scenario_run_id", None)
normalized.pop("base_job_id", None)
normalized.pop("base_run_id", None)
normalized.pop("base_job_type", None)
normalized.pop("base_job_name", None)
normalized.pop("mitigation_job_name", None)
normalized.pop("risk_job_name", None)
normalized.pop("source_job_type", None)
elif job_type == "report":
normalized.pop("current_waveform", None)
@@ -1254,6 +1341,61 @@ def _normalize_execution_options(job_type: str, execution_options: dict[str, Any
normalized.pop("tail_time_max_us", None)
normalized.pop("tail_time_step_us", None)
normalized.pop("non_construction", None)
normalized.pop("base_job_id", None)
normalized.pop("base_run_id", None)
normalized.pop("base_job_type", None)
normalized.pop("base_job_name", None)
normalized.pop("mitigation_job_name", None)
normalized.pop("risk_job_name", None)
elif job_type == "scenario":
normalized["current_waveform"] = _normalize_choice(
normalized.get("current_waveform") or normalized.get("current_type"),
allowed={"heidler", "double_slope", "double_exponential"},
aliases={
"Heidler": "heidler",
"双斜角": "double_slope",
"双指数": "double_exponential",
},
default="heidler",
)
normalized["flashover_method"] = _normalize_choice(
normalized.get("flashover_method"),
allowed={"guideline", "intersection", "leader_development"},
aliases={
"规程法": "guideline",
"相交法": "intersection",
"先导发展法": "leader_development",
},
default="intersection",
)
normalized["altitude_correction"] = _normalize_choice(
normalized.get("altitude_correction"),
allowed={"none", "formula1", "formula2"},
aliases={
"无": "none",
"推荐公式1": "formula1",
"推荐公式2": "formula2",
},
default="none",
)
normalized["induced_voltage_formula"] = _normalize_choice(
normalized.get("induced_voltage_formula"),
allowed={"formula1", "formula2"},
aliases={
"公式1": "formula1",
"公式2": "formula2",
},
default="formula1",
)
normalized["head_time_min_us"] = _normalize_positive_number(normalized.get("head_time_min_us"), default=2.6)
normalized["head_time_max_us"] = _normalize_positive_number(normalized.get("head_time_max_us"), default=2.6)
normalized["head_time_step_us"] = _normalize_positive_number(normalized.get("head_time_step_us"), default=0.1)
normalized["tail_time_min_us"] = _normalize_positive_number(normalized.get("tail_time_min_us"), default=50.0)
normalized["tail_time_max_us"] = _normalize_positive_number(normalized.get("tail_time_max_us"), default=50.0)
normalized["tail_time_step_us"] = _normalize_positive_number(normalized.get("tail_time_step_us"), default=1.0)
normalized.pop("scenario_job_id", None)
normalized.pop("scenario_run_id", None)
normalized.pop("non_construction", None)
elif job_type in {"normal", "tongtiao"}:
normalized["current_waveform"] = _normalize_choice(
normalized.get("current_waveform") or normalized.get("current_type"),
@@ -1307,6 +1449,14 @@ def _normalize_execution_options(job_type: str, execution_options: dict[str, Any
normalized.pop("mitigation_run_id", None)
normalized.pop("risk_job_id", None)
normalized.pop("risk_run_id", None)
normalized.pop("scenario_job_id", None)
normalized.pop("scenario_run_id", None)
normalized.pop("base_job_id", None)
normalized.pop("base_run_id", None)
normalized.pop("base_job_type", None)
normalized.pop("base_job_name", None)
normalized.pop("mitigation_job_name", None)
normalized.pop("risk_job_name", None)
normalized.pop("source_job_type", None)
normalized.pop("non_construction", None)
else:
@@ -1327,6 +1477,14 @@ def _normalize_execution_options(job_type: str, execution_options: dict[str, Any
normalized.pop("mitigation_run_id", None)
normalized.pop("risk_job_id", None)
normalized.pop("risk_run_id", None)
normalized.pop("scenario_job_id", None)
normalized.pop("scenario_run_id", None)
normalized.pop("base_job_id", None)
normalized.pop("base_run_id", None)
normalized.pop("base_job_type", None)
normalized.pop("base_job_name", None)
normalized.pop("mitigation_job_name", None)
normalized.pop("risk_job_name", None)
normalized.pop("source_job_type", None)
normalized.pop("non_construction", None)
return normalized
@@ -1420,6 +1578,11 @@ def _validate_report_options(db: Session, *, line_id: str, execution_options: di
else:
execution_options.pop("mitigation_job_id", None)
execution_options.pop("mitigation_run_id", None)
scenario_job = (
_find_latest_success_scenario_job(db, line_id=line_id, mitigation_job_id=mitigation_job.id)
if mitigation_job is not None
else None
)
else:
mitigation_job = source_job
risk_job_id = str((mitigation_job.execution_options_json or {}).get("source_job_id") or "")
@@ -1447,10 +1610,21 @@ def _validate_report_options(db: Session, *, line_id: str, execution_options: di
run_id=source_run_id,
exclude_low_risk=False,
)
scenario_job = _find_latest_success_scenario_job(db, line_id=line_id, mitigation_job_id=mitigation_job.id)
if not allowed_tower_ids:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="报告来源任务暂无可复用杆塔结果")
if scenario_job is not None:
scenario_run_id = _resolve_source_run_id(scenario_job)
if not scenario_run_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="关联复算任务缺少可复用结果")
execution_options["scenario_job_id"] = scenario_job.id
execution_options["scenario_run_id"] = scenario_run_id
else:
execution_options.pop("scenario_job_id", None)
execution_options.pop("scenario_run_id", None)
invalid_ids = [tower_id for tower_id in selected_tower_ids if tower_id not in allowed_tower_ids]
if invalid_ids:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="报告任务包含无效的杆塔选择")
@@ -1495,11 +1669,27 @@ def _find_latest_success_mitigation_job(db: Session, *, line_id: str, source_job
return None
def _find_latest_success_scenario_job(db: Session, *, line_id: str, mitigation_job_id: str) -> FlAnalysisJob | None:
rows = db.execute(
select(FlAnalysisJob)
.where(
FlAnalysisJob.line_id == line_id,
FlAnalysisJob.job_type == "scenario",
FlAnalysisJob.status == "success",
)
.order_by(FlAnalysisJob.update_date.desc(), FlAnalysisJob.id.desc())
).scalars().all()
for item in rows:
if str((item.execution_options_json or {}).get("mitigation_job_id") or "") == mitigation_job_id:
return item
return None
def _load_job_towers(db: Session, *, job: FlAnalysisJob, execution_options: dict[str, Any]) -> list[LineTower]:
towers = db.execute(
select(LineTower).where(LineTower.line_id == job.line_id).order_by(LineTower.seq_no.asc())
).scalars().all()
if job.job_type not in {"mitigation", "report"}:
if job.job_type not in {"mitigation", "report", "scenario"}:
return towers
selected_ids = set(execution_options.get("selected_tower_ids") or [])
scoped_towers = [tower for tower in towers if tower.id in selected_ids]
@@ -1507,10 +1697,105 @@ def _load_job_towers(db: Session, *, job: FlAnalysisJob, execution_options: dict
detail = "措施推荐任务的杆塔范围已失效，请重新生成任务"
if job.job_type == "report":
detail = "报告任务的杆塔范围已失效，请重新生成任务"
elif job.job_type == "scenario":
detail = "加装避雷器复算任务的杆塔范围已失效，请重新生成任务"
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=detail)
return scoped_towers
def _validate_scenario_options(db: Session, *, line_id: str, execution_options: dict[str, Any]) -> dict[str, Any]:
mitigation_job_id = str(execution_options.get("source_job_id") or "")
if not mitigation_job_id:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="加装避雷器复算任务缺少前驱措施任务")
selected_tower_ids = execution_options.get("selected_tower_ids") or []
if not selected_tower_ids:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="加装避雷器复算任务至少需要选择一座杆塔")
base_job_id = str(execution_options.get("base_job_id") or "")
if not base_job_id:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="加装避雷器复算任务缺少复用的计算任务")
mitigation_job = get_job_by_id(db, mitigation_job_id)
if not mitigation_job:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="前驱措施任务不存在")
if mitigation_job.line_id != line_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="前驱措施任务与当前线路不匹配")
if mitigation_job.job_type != "mitigation":
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="前驱任务必须为措施推荐任务")
if mitigation_job.status != "success":
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="前驱措施任务尚未成功完成")
mitigation_run_id = _resolve_source_run_id(mitigation_job)
if not mitigation_run_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="前驱措施任务缺少可复用结果")
allowed_tower_ids = _load_report_candidate_tower_ids(
db,
job_id=mitigation_job.id,
run_id=mitigation_run_id,
exclude_low_risk=True,
)
if not allowed_tower_ids:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="前驱措施任务没有可复算的中高风险杆塔")
invalid_ids = [tower_id for tower_id in selected_tower_ids if tower_id not in allowed_tower_ids]
if invalid_ids:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="加装避雷器复算任务包含无效的杆塔选择")
risk_job_id = str((mitigation_job.execution_options_json or {}).get("source_job_id") or "")
if not risk_job_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="前驱措施任务缺少关联风险任务")
risk_job = get_job_by_id(db, risk_job_id)
if not risk_job:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="关联风险任务不存在")
if risk_job.line_id != line_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="关联风险任务与当前线路不匹配")
if risk_job.job_type != "risk" or risk_job.status != "success":
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="关联风险任务尚未成功完成")
risk_run_id = _resolve_source_run_id(risk_job)
if not risk_run_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="关联风险任务缺少可复用结果")
base_job = get_job_by_id(db, base_job_id)
if not base_job:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="复用计算任务不存在")
if base_job.line_id != line_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="复用计算任务与当前线路不匹配")
if base_job.job_type not in {"normal", "tongtiao"}:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="仅普通计算或同跳计算任务可作为复算基线")
if base_job.status != "success":
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="复用计算任务尚未成功完成")
base_run_id = _resolve_source_run_id(base_job)
if not base_run_id:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="复用计算任务缺少可复用结果")
base_tower_ids = _load_result_tower_ids(db, job_id=base_job.id, run_id=base_run_id)
missing_from_base = [tower_id for tower_id in selected_tower_ids if tower_id not in base_tower_ids]
if missing_from_base:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="复算杆塔不在所选基线计算结果中")
scenario_options = _normalize_execution_options(base_job.job_type, base_job.execution_options_json or {})
scenario_options.update(
{
"selected_tower_ids": list(selected_tower_ids),
"source_job_id": mitigation_job.id,
"source_run_id": mitigation_run_id,
"source_job_type": mitigation_job.job_type,
"mitigation_job_id": mitigation_job.id,
"mitigation_job_name": mitigation_job.job_name,
"mitigation_run_id": mitigation_run_id,
"risk_job_id": risk_job.id,
"risk_job_name": risk_job.job_name,
"risk_run_id": risk_run_id,
"base_job_id": base_job.id,
"base_job_name": base_job.job_name,
"base_job_type": base_job.job_type,
"base_run_id": base_run_id,
}
)
return {
"total_tower_count": len(selected_tower_ids),
"execution_options": scenario_options,
"external_adapter": base_job.external_adapter or "placeholder",
"adapter_config_json": base_job.adapter_config_json or {},
}
def _load_source_result_map(db: Session, *, execution_options: dict[str, Any]) -> dict[str, dict[str, Any]]:
source_job_id = str(execution_options.get("source_job_id") or "")
source_run_id = str(execution_options.get("source_run_id") or "")
@@ -1555,6 +1840,22 @@ def _load_report_candidate_tower_ids(
return tower_ids
def _resolve_waveform_job_type(*, job_type: str, execution_options: dict[str, Any]) -> str:
if job_type == "scenario":
base_job_type = str(execution_options.get("base_job_type") or "").strip()
if base_job_type in {"normal", "tongtiao"}:
return base_job_type
return job_type
def _apply_scenario_profile_json_overrides(profile_json: dict[str, Any]) -> dict[str, Any]:
profile = dict(profile_json or {})
profile["arrester_a"] = "是"
profile["arrester_b"] = "是"
profile["arrester_c"] = "是"
return profile
def _resolve_source_run_id(job: FlAnalysisJob) -> str | None:
if job.latest_run_id:
return job.latest_run_id
api/pyproject.toml
+3
View File
@@ -18,3 +18,6 @@ dependencies = [
"flower>=2.0.0,<3.0.0",
"rasterio>=1.4.0,<2.0.0",
]
[tool.pytest.ini_options]
pythonpath = ["."]
api/tests/test_fl_analysis_report.py
+21
View File
@@ -22,6 +22,9 @@ def _sample_report_data() -> dict[str, object]:
"risk_job_name": "示例线路-风险评估",
"mitigation_job_id": "mit-job-1",
"mitigation_job_name": "示例线路-措施推荐",
"scenario_job_id": "scenario-job-1",
"scenario_job_name": "示例线路-加装避雷器复算",
"scenario_base_job_type": "normal",
},
"risk_rows": [
{
@@ -108,6 +111,19 @@ def _sample_report_data() -> dict[str, object]:
},
}
],
"selected_scenario_rows": [
{
"tower_id": "tower-1",
"tower_no": "001",
"risk_level": "low",
"result_json": {
"counterstrike_withstand_ka": 112.45,
"counterstrike_trip_rate": 0.0215,
"shielding_withstand_ka": 136.2,
"shielding_trip_rate": 0.0085,
},
}
],
}
@@ -124,6 +140,9 @@ def test_build_report_summary_payload_counts_risk_and_actions() -> None:
assert summary["mitigation_action_counts"]["接地治理"] == 1
assert summary["mitigation_action_counts"]["安装避雷器"] == 1
assert summary["has_mitigation_data"] is True
assert summary["scenario_row_count"] == 1
assert summary["post_recalc_risk_counts"] == {"high": 0, "medium": 0, "low": 1}
assert summary["has_scenario_data"] is True
def test_build_report_document_renders_word_compatible_html() -> None:
@@ -136,4 +155,6 @@ def test_build_report_document_renders_word_compatible_html() -> None:
assert "雷害风险评估结果" in html
assert "差异化防雷措施与预期效果" in html
assert "安装避雷器" in html
assert "表14 采取措施后的计算结果表" in html
assert "反击耐雷水平(kA)" in html
assert "001" in html
api/tests/test_fl_analysis_service.py
+422
View File
@@ -0,0 +1,422 @@
from __future__ import annotations
from types import SimpleNamespace
from sqlalchemy import create_engine, select
from sqlalchemy.orm import Session, sessionmaker
from app.core.database import Base
from app.models.fl_analysis import FlAnalysisJob, FlAnalysisRun, FlAnalysisTowerResult, FlAnalysisTowerSnapshot
from app.models.line import Line
from app.models.line_tower import LineTower
from app.models.tower_profile import TowerProfile
from app.schemas.fl_analysis import FlAnalysisJobCreateRequest
from app.services import fl_analysis_service
def _build_sessionmaker():
engine = create_engine("sqlite+pysqlite:///:memory:")
Base.metadata.create_all(
bind=engine,
tables=[
Line.__table__,
LineTower.__table__,
TowerProfile.__table__,
FlAnalysisJob.__table__,
FlAnalysisRun.__table__,
FlAnalysisTowerSnapshot.__table__,
FlAnalysisTowerResult.__table__,
],
)
return sessionmaker(bind=engine, autocommit=False, autoflush=False, expire_on_commit=False)
def _create_completed_job(
session: Session,
*,
line: Line,
tower: LineTower,
profile: TowerProfile,
job_type: str,
job_name: str,
risk_level: str,
result_json: dict[str, object],
execution_options_json: dict[str, object] | None = None,
external_adapter: str = "placeholder",
) -> tuple[FlAnalysisJob, FlAnalysisRun]:
job = FlAnalysisJob(
line_id=line.id,
job_name=job_name,
job_type=job_type,
status="success",
source_kind="line",
total_tower_count=1,
snapshotted_tower_count=1,
result_tower_count=1,
external_adapter=external_adapter,
execution_options_json=execution_options_json or {},
result_summary_json={},
create_user="tester",
update_user="tester",
)
session.add(job)
session.flush()
run = FlAnalysisRun(
job_id=job.id,
status="success",
runner_kind=external_adapter,
create_user="tester",
update_user="tester",
)
session.add(run)
session.flush()
job.latest_run_id = run.id
snapshot = FlAnalysisTowerSnapshot(
job_id=job.id,
run_id=run.id,
tower_id=tower.id,
seq_no=tower.seq_no,
tower_no=tower.tower_no,
tower_model=tower.tower_model,
tower_type=tower.tower_type,
longitude=tower.longitude,
latitude=tower.latitude,
altitude_m=tower.altitude_m,
terrain=tower.terrain,
base_tower_json=fl_analysis_service._build_base_tower_json(tower, line),
profile_json=fl_analysis_service._build_profile_json(profile),
)
session.add(snapshot)
session.flush()
session.add(
FlAnalysisTowerResult(
job_id=job.id,
run_id=run.id,
snapshot_id=snapshot.id,
status="success",
risk_level=risk_level,
summary_text=str(result_json.get("summary_text") or ""),
result_json=result_json,
)
)
session.flush()
return job, run
def _seed_job_chain(session: Session) -> dict[str, object]:
line = Line(
code="L-100",
name="迁移验证线路",
voltage_kv=220,
lightning_param_json={"雷电流幅值a": 31.0, "雷电流幅值b": 2.6},
)
session.add(line)
session.flush()
tower = LineTower(
line_id=line.id,
seq_no=1,
tower_no="T001",
tower_model="220-TEST-ZX",
tower_type="直线",
longitude=120.0,
latitude=30.0,
altitude_m=128.0,
terrain="山地",
ground_resistance_ohm=16.0,
lightning_density=4.2,
span_large_m=320.0,
span_small_m=280.0,
slope_1=5.0,
slope_2=3.0,
circuit_geometry_json={
"I": {
"phase_spacing_m": {"upper": 9.0, "middle": 4.5, "lower": 8.5},
"phase_height_m": {"upper": 29.0, "middle": 31.0, "lower": 25.0},
},
"lightning_wire": {
"left_mid_distance_m": 8.0,
"right_mid_distance_m": 8.0,
"height_m": 38.0,
},
"insulator_length_mm": 4200.0,
},
lightning_result_json={},
)
session.add(tower)
session.flush()
profile = TowerProfile(
tower_id=tower.id,
structure_kind="直线",
stroke_mode="反击",
arrester_a="否",
arrester_b="否",
arrester_c="否",
insulator_length_m=4200.0,
current_a=31.0,
current_b=2.6,
current_type="Heidler",
current_head_time_us=2.6,
current_tail_time_us=50.0,
)
session.add(profile)
session.flush()
base_job, base_run = _create_completed_job(
session,
line=line,
tower=tower,
profile=profile,
job_type="normal",
job_name="基线普通计算",
risk_level="high",
result_json={
"risk_level": "high",
"summary_text": "基线普通计算完成",
"score": 88,
},
execution_options_json={
"current_waveform": "double_slope",
"flashover_method": "intersection",
"altitude_correction": "formula1",
"induced_voltage_formula": "formula2",
"head_time_min_us": 2.4,
"head_time_max_us": 2.8,
"head_time_step_us": 0.2,
"tail_time_min_us": 45.0,
"tail_time_max_us": 55.0,
"tail_time_step_us": 5.0,
},
)
risk_job, risk_run = _create_completed_job(
session,
line=line,
tower=tower,
profile=profile,
job_type="risk",
job_name="风险评估",
risk_level="high",
result_json={
"risk_level": "high",
"summary_text": "高风险",
"score": 91,
"cause_analysis": "接地电阻偏高",
"mitigation_recommendation": "建议安装避雷器",
"reason_details": [{"code": "ground_resistance", "label": "接地电阻", "triggered": True}],
},
)
mitigation_job, mitigation_run = _create_completed_job(
session,
line=line,
tower=tower,
profile=profile,
job_type="mitigation",
job_name="措施推荐",
risk_level="medium",
result_json={
"risk_level": "medium",
"summary_text": "仍需补强",
"current_risk_level": "high",
"expected_risk_level": "medium",
"cause_analysis": "接地电阻偏高",
"recommendation_result": "需要安装避雷器",
"mitigation_recommendation": "安装避雷器并优化接地",
"mitigation_actions": [
{"code": "arrester_install", "label": "安装避雷器", "summary": "关键相增设避雷器"},
],
},
execution_options_json={
"source_job_id": risk_job.id,
"source_run_id": risk_run.id,
"selected_tower_ids": [tower.id],
},
)
session.commit()
return {
"line": line,
"tower": tower,
"profile": profile,
"base_job": base_job,
"base_run": base_run,
"risk_job": risk_job,
"risk_run": risk_run,
"mitigation_job": mitigation_job,
"mitigation_run": mitigation_run,
}
def test_execute_scenario_job_reuses_base_waveform_and_forces_arresters(monkeypatch) -> None:
testing_session = _build_sessionmaker()
session = testing_session()
try:
seeded = _seed_job_chain(session)
monkeypatch.setattr(fl_analysis_service, "_publish_change", lambda *args, **kwargs: None)
created = fl_analysis_service.create_job(
session,
FlAnalysisJobCreateRequest(
line_id=seeded["line"].id,
job_name="加装避雷器复算",
job_type="scenario",
execution_options_json={
"source_job_id": seeded["mitigation_job"].id,
"base_job_id": seeded["base_job"].id,
"selected_tower_ids": [seeded["tower"].id],
},
),
actor=SimpleNamespace(id="tester"),
)
assert created.job.external_adapter == "placeholder"
assert created.job.execution_options_json["base_job_type"] == "normal"
assert created.job.execution_options_json["current_waveform"] == "double_slope"
assert created.job.execution_options_json["mitigation_job_id"] == seeded["mitigation_job"].id
captured_payloads: list[dict[str, object]] = []
def fake_grade_normal_snapshot_payload(payload: dict[str, object], *, execution_options: dict[str, object]) -> dict[str, object]:
captured_payloads.append(
{
"profile_json": dict(payload["profile_json"]),
"execution_options": dict(execution_options),
}
)
return {
"risk_level": "low",
"summary_text": "复算完成",
"score": 12,
"workflow": {"scan_point_count": 1},
"counterstrike_withstand_ka": 120.5,
"counterstrike_trip_rate": 0.02,
"shielding_withstand_ka": 140.0,
"shielding_trip_rate": 0.005,
}
monkeypatch.setattr(fl_analysis_service, "SessionLocal", testing_session)
monkeypatch.setattr(fl_analysis_service, "grade_normal_snapshot_payload", fake_grade_normal_snapshot_payload)
monkeypatch.setattr(
fl_analysis_service,
"grade_tongtiao_snapshot_payload",
lambda *args, **kwargs: (_ for _ in ()).throw(AssertionError("scenario should reuse normal path")),
)
monkeypatch.setattr(
fl_analysis_service,
"grade_snapshot_payload",
lambda *args, **kwargs: (_ for _ in ()).throw(AssertionError("scenario should not fall back to generic risk grading")),
)
session.close()
fl_analysis_service.execute_job(created.job.id)
verify_session = testing_session()
try:
saved_job = fl_analysis_service.get_job_by_id(verify_session, created.job.id)
assert saved_job is not None
assert saved_job.status == "success"
assert saved_job.result_summary_json["base_job_type"] == "normal"
assert saved_job.result_summary_json["selected_tower_count"] == 1
assert saved_job.result_summary_json["workflow"]["current_waveform"] == "double_slope"
saved_row = verify_session.execute(
select(FlAnalysisTowerResult).where(FlAnalysisTowerResult.job_id == created.job.id)
).scalar_one()
assert saved_row.risk_level == "low"
assert saved_row.result_json["counterstrike_withstand_ka"] == 120.5
finally:
verify_session.close()
assert len(captured_payloads) == 1
assert captured_payloads[0]["profile_json"]["arrester_a"] == "是"
assert captured_payloads[0]["profile_json"]["arrester_b"] == "是"
assert captured_payloads[0]["profile_json"]["arrester_c"] == "是"
assert captured_payloads[0]["execution_options"]["current_waveform"] == "double_slope"
finally:
session.close()
def test_report_job_auto_links_latest_scenario_rows(monkeypatch) -> None:
testing_session = _build_sessionmaker()
session = testing_session()
try:
seeded = _seed_job_chain(session)
monkeypatch.setattr(fl_analysis_service, "_publish_change", lambda *args, **kwargs: None)
scenario_job, scenario_run = _create_completed_job(
session,
line=seeded["line"],
tower=seeded["tower"],
profile=seeded["profile"],
job_type="scenario",
job_name="加装避雷器复算",
risk_level="low",
result_json={
"risk_level": "low",
"summary_text": "复算完成",
"score": 14,
"counterstrike_withstand_ka": 112.45,
"counterstrike_trip_rate": 0.0215,
"shielding_withstand_ka": 136.2,
"shielding_trip_rate": 0.0085,
},
execution_options_json={
"source_job_id": seeded["mitigation_job"].id,
"source_run_id": seeded["mitigation_run"].id,
"source_job_type": "mitigation",
"mitigation_job_id": seeded["mitigation_job"].id,
"mitigation_run_id": seeded["mitigation_run"].id,
"risk_job_id": seeded["risk_job"].id,
"risk_run_id": seeded["risk_run"].id,
"base_job_id": seeded["base_job"].id,
"base_run_id": seeded["base_run"].id,
"base_job_type": "normal",
"base_job_name": seeded["base_job"].job_name,
},
)
session.commit()
created = fl_analysis_service.create_job(
session,
FlAnalysisJobCreateRequest(
line_id=seeded["line"].id,
job_name="效果报告",
job_type="report",
execution_options_json={
"source_job_id": seeded["mitigation_job"].id,
"selected_tower_ids": [seeded["tower"].id],
},
),
actor=SimpleNamespace(id="tester"),
)
assert created.job.execution_options_json["scenario_job_id"] == scenario_job.id
assert created.job.execution_options_json["scenario_run_id"] == scenario_run.id
monkeypatch.setattr(fl_analysis_service, "SessionLocal", testing_session)
session.close()
fl_analysis_service.execute_job(created.job.id)
verify_session = testing_session()
try:
report_job = fl_analysis_service.get_job_by_id(verify_session, created.job.id)
assert report_job is not None
assert report_job.status == "success"
assert report_job.result_summary_json["scenario_row_count"] == 1
assert report_job.result_summary_json["has_scenario_data"] is True
assert report_job.result_summary_json["post_recalc_risk_counts"] == {"high": 0, "medium": 0, "low": 1}
filename, content = fl_analysis_service.download_report_document(verify_session, job_id=created.job.id)
finally:
verify_session.close()
html = content.decode("utf-8")
assert filename.endswith(".doc")
assert "表14 采取措施后的计算结果表" in html
assert "加装避雷器复算" in html
assert "112.45" in html
finally:
session.close()
web/src/app/admin/fl-analysis/page.tsx
+228 -13
View File
@@ -65,6 +65,11 @@ type MitigationFormValues = {
non_construction: boolean;
};
type ScenarioFormValues = {
job_name: string;
base_job_id: string;
};
type ReportFormValues = {
job_name: string;
};
@@ -175,7 +180,7 @@ function formatJobType(jobType: string, nonConstruction = false): string {
if (jobType === "normal") return "普通计算";
if (jobType === "tongtiao") return "同跳计算";
if (jobType === "report") return "报告";
if (jobType === "scenario") return "场景分析";
if (jobType === "scenario") return "加装避雷器复算";
return jobType || "-";
}
@@ -354,6 +359,20 @@ function mitigationMode(job: FlAnalysisJobDetail | FlAnalysisJobSummary | null):
return Boolean(options.non_construction);
}
function waveformJobType(job: FlAnalysisJobDetail | FlAnalysisJobSummary | null): "normal" | "tongtiao" | null {
if (!job) {
return null;
}
if (job.job_type === "normal" || job.job_type === "tongtiao") {
return job.job_type;
}
if (job.job_type === "scenario") {
const baseJobType = readOptionalString(readObject(job.execution_options_json), "base_job_type");
return baseJobType === "tongtiao" ? "tongtiao" : "normal";
}
return null;
}
function selectedTowerCount(job: FlAnalysisJobDetail | null): number {
if (!job) {
return 0;
@@ -381,12 +400,15 @@ export default function AdminFlAnalysisPage() {
const [selectedJobId, setSelectedJobId] = useState<string | null>(null);
const [detailRow, setDetailRow] = useState<FlAnalysisTowerResultSummary | null>(null);
const [mitigationModalOpen, setMitigationModalOpen] = useState(false);
const [scenarioModalOpen, setScenarioModalOpen] = useState(false);
const [reportModalOpen, setReportModalOpen] = useState(false);
const [detailModalOpen, setDetailModalOpen] = useState(false);
const [selectedMitigationTowerIds, setSelectedMitigationTowerIds] = useState<string[]>([]);
const [selectedScenarioTowerIds, setSelectedScenarioTowerIds] = useState<string[]>([]);
const [selectedReportTowerIds, setSelectedReportTowerIds] = useState<string[]>([]);
const [createJobForm] = Form.useForm<CreateJobFormValues>();
const [mitigationForm] = Form.useForm<MitigationFormValues>();
const [scenarioForm] = Form.useForm<ScenarioFormValues>();
const [reportForm] = Form.useForm<ReportFormValues>();
const [messageApi, contextHolder] = message.useMessage();
const selectedLineId = Form.useWatch("line_id", createJobForm);
@@ -465,6 +487,7 @@ export default function AdminFlAnalysisPage() {
}
return jobsQuery.data?.items.find((item) => item.id === selectedJobId) ?? null;
}, [jobsQuery.data?.items, selectedJobId]);
const selectedWaveformJobType = waveformJobType(selectedJob);
const selectedJobDetailQuery = useQuery({
queryKey: ["/api/v1/fl-analysis/jobs/detail", selectedJob?.id ?? ""],
@@ -495,6 +518,13 @@ export default function AdminFlAnalysisPage() {
[towerResultsQuery.data?.items],
);
const candidateScenarioRows = useMemo(() => {
if (selectedJob?.job_type !== "mitigation") {
return [];
}
return (towerResultsQuery.data?.items ?? []).filter((item) => item.risk_level !== "low");
}, [selectedJob?.job_type, towerResultsQuery.data?.items]);
const candidateReportRows = useMemo(() => {
const rows = towerResultsQuery.data?.items ?? [];
if (selectedJob?.job_type === "mitigation") {
@@ -503,6 +533,15 @@ export default function AdminFlAnalysisPage() {
return rows.filter((item) => item.risk_level !== "low");
}, [selectedJob?.job_type, towerResultsQuery.data?.items]);
const candidateScenarioBaseJobs = useMemo(() => {
if (!selectedJob) {
return [];
}
return (jobsQuery.data?.items ?? []).filter(
(item) => item.line_id === selectedJob.line_id && item.status === "success" && ["normal", "tongtiao"].includes(item.job_type),
);
}, [jobsQuery.data?.items, selectedJob]);
const atpModels = useMemo(() => atpModelsQuery.data?.items ?? [], [atpModelsQuery.data]);
const selectedAtpModel = useMemo(
() => atpModels.find((item) => item.id === selectedAtpModelId) ?? null,
@@ -590,6 +629,19 @@ export default function AdminFlAnalysisPage() {
setMitigationModalOpen(true);
}
function openScenarioJobModal(): void {
if (!selectedJob) {
return;
}
const baseName = selectedJob.job_name || selectedJob.line_name || selectedJob.line_code || "防雷任务";
setSelectedScenarioTowerIds(candidateScenarioRows.map((item) => item.tower_id));
scenarioForm.setFieldsValue({
job_name: `${baseName}-加装避雷器复算`,
base_job_id: candidateScenarioBaseJobs[0]?.id ?? "",
});
setScenarioModalOpen(true);
}
function openReportJobModal(): void {
if (!selectedJob) {
return;
@@ -700,6 +752,43 @@ export default function AdminFlAnalysisPage() {
},
});
const createScenarioMutation = useMutation({
mutationFn: async (values: ScenarioFormValues) => {
if (!selectedJob) {
throw new Error("缺少前驱措施任务");
}
if (selectedJob.job_type !== "mitigation") {
throw new Error("仅措施推荐任务可生成加装避雷器复算");
}
if (selectedScenarioTowerIds.length === 0) {
throw new Error("请至少选择一座需要复算的杆塔");
}
if (!values.base_job_id) {
throw new Error("请选择复用的普通计算或同跳计算任务");
}
return createAndStartJob({
line_id: selectedJob.line_id,
job_name: values.job_name.trim() || null,
job_type: "scenario",
external_adapter: "placeholder",
execution_options_json: {
source_job_id: selectedJob.id,
base_job_id: values.base_job_id,
selected_tower_ids: selectedScenarioTowerIds,
},
});
},
onSuccess: async (job) => {
await invalidateFlAnalysisQueries();
setScenarioModalOpen(false);
setSelectedJobId(job.id);
messageApi.success("加装避雷器复算任务已创建并启动");
},
onError: (error) => {
messageApi.error(error instanceof Error ? error.message : "加装避雷器复算任务创建失败");
},
});
const createReportMutation = useMutation({
mutationFn: async (values: ReportFormValues) => {
if (!selectedJob) {
@@ -838,7 +927,7 @@ export default function AdminFlAnalysisPage() {
});
}
if (selectedJob?.job_type === "normal" || selectedJob?.job_type === "tongtiao") {
if (selectedWaveformJobType === "normal" || selectedWaveformJobType === "tongtiao") {
columns.push(
{
title: "最不利点(μs)",
@@ -857,7 +946,7 @@ export default function AdminFlAnalysisPage() {
);
}
if (selectedJob?.job_type === "normal") {
if (selectedWaveformJobType === "normal") {
columns.push(
{
title: "反击耐雷水平(kA)",
@@ -886,7 +975,7 @@ export default function AdminFlAnalysisPage() {
);
}
if (selectedJob?.job_type === "tongtiao") {
if (selectedWaveformJobType === "tongtiao") {
columns.push(
{
title: "主导相组",
@@ -978,7 +1067,7 @@ export default function AdminFlAnalysisPage() {
);
return columns;
}, [selectedJob?.job_type]);
}, [selectedJob?.job_type, selectedWaveformJobType]);
const reasonDetailColumns: ColumnsType<ReasonDetail> = [
{ title: "因子", dataIndex: "label", width: 180 },
@@ -1145,6 +1234,7 @@ export default function AdminFlAnalysisPage() {
const multiPhaseResults = readMultiPhaseResults(detailRow);
const detailWorkflow = readWorkflow(detailRow);
const detailSelectedCase = readSelectedCase(detailRow);
const selectedJobDetailWaveformType = waveformJobType(selectedJobDetail ?? selectedJob);
const selectedJobExecutionOptions = readObject(selectedJobDetail?.execution_options_json);
const selectedJobSummary = readObject(selectedJobDetail?.result_summary_json);
const selectedJobWorkflow = readObject(selectedJobDetail?.result_summary_json).workflow as WorkflowSummary | undefined;
@@ -1153,11 +1243,15 @@ export default function AdminFlAnalysisPage() {
const selectedJobExternalVersionNo = readOptionalNumber(selectedJobSummary, "external_version_no");
const detailExternalExecution = readObject(detailResultObject.external_execution);
const sourceJobId = readOptionalString(selectedJobExecutionOptions, "source_job_id");
const scenarioBaseJobName = readOptionalString(selectedJobExecutionOptions, "base_job_name");
const scenarioBaseJobType = readOptionalString(selectedJobExecutionOptions, "base_job_type");
const canCreateMitigation = selectedJob?.job_type === "risk";
const canCreateScenario = selectedJob?.job_type === "mitigation";
const canCreateReport = selectedJob?.job_type === "risk" || selectedJob?.job_type === "mitigation";
const reportSourceJobType = readOptionalString(selectedJobSummary, "source_job_type");
const reportSourceJobName = readOptionalString(selectedJobSummary, "source_job_name");
const reportMitigationJobName = readOptionalString(selectedJobSummary, "mitigation_job_name");
const reportScenarioJobName = readOptionalString(selectedJobSummary, "scenario_job_name");
const reportDocumentName = readOptionalString(selectedJobSummary, "document_filename");
const canDownloadResults = selectedJob?.job_type !== "report"
&& selectedJob?.status === "success"
@@ -1174,7 +1268,7 @@ export default function AdminFlAnalysisPage() {
防雷分析与改造
</Typography.Title>
<Typography.Text type="secondary">
支持源端“普通计算 / 同跳计算 / 风险评估 / 措施推荐 / 报告生成”工作流。普通计算和同跳计算可按 ATP/Wine 外部链路执行，也可退回规则近似版；报告任务可基于风险或措施结果直接导出 Word 兼容文档。
支持源端“普通计算 / 同跳计算 / 风险评估 / 措施推荐 / 加装避雷器复算 / 报告生成”工作流。普通计算和同跳计算可按 ATP/Wine 外部链路执行，也可退回规则近似版；报告任务会自动并入已关联的复算结果表。
</Typography.Text>
</div>
@@ -1451,6 +1545,15 @@ export default function AdminFlAnalysisPage() {
{String(readObject(selectedJobDetail.result_summary_json).arrester_required_count ?? "-")}
</Descriptions.Item>
</>
) : selectedJobDetail.job_type === "scenario" ? (
<>
<Descriptions.Item label="前驱措施任务">{sourceJobId || "-"}</Descriptions.Item>
<Descriptions.Item label="选塔数">{String(selectedTowerCount(selectedJobDetail) || "-")}</Descriptions.Item>
<Descriptions.Item label="复用计算口径">
{scenarioBaseJobType ? formatJobType(scenarioBaseJobType) : "-"}
</Descriptions.Item>
<Descriptions.Item label="基线计算任务">{scenarioBaseJobName || "-"}</Descriptions.Item>
</>
) : selectedJobDetail.job_type === "report" ? (
<>
<Descriptions.Item label="报告来源">
@@ -1461,9 +1564,10 @@ export default function AdminFlAnalysisPage() {
{String(readObject(selectedJobDetail.result_summary_json).selected_tower_count ?? "-")}
</Descriptions.Item>
<Descriptions.Item label="关联措施任务">{reportMitigationJobName || "未关联"}</Descriptions.Item>
<Descriptions.Item label="文档名">{reportDocumentName || "-"}</Descriptions.Item>
<Descriptions.Item label="关联复算任务">{reportScenarioJobName || "未关联"}</Descriptions.Item>
<Descriptions.Item label="文档名" span={2}>{reportDocumentName || "-"}</Descriptions.Item>
</>
) : selectedJobDetail.job_type === "normal" || selectedJobDetail.job_type === "tongtiao" ? (
) : selectedJobDetailWaveformType === "normal" || selectedJobDetailWaveformType === "tongtiao" ? (
<>
<Descriptions.Item label="适配器">{formatExternalAdapter(selectedJobDetail.external_adapter)}</Descriptions.Item>
<Descriptions.Item label="ATP模型">
@@ -1513,6 +1617,14 @@ export default function AdminFlAnalysisPage() {
生成措施推荐任务
</Button>
) : null}
{canManage && canCreateScenario ? (
<Button
disabled={candidateScenarioRows.length === 0 || candidateScenarioBaseJobs.length === 0}
onClick={openScenarioJobModal}
>
生成加装避雷器复算任务
</Button>
) : null}
{canManage && canCreateReport ? (
<Button
disabled={candidateReportRows.length === 0}
@@ -1608,7 +1720,7 @@ export default function AdminFlAnalysisPage() {
</Descriptions.Item>
<Descriptions.Item label="改造结论">{readString(detailResultObject, "recommendation_result")}</Descriptions.Item>
</>
) : selectedJob?.job_type === "normal" || selectedJob?.job_type === "tongtiao" ? (
) : selectedJobDetailWaveformType === "normal" || selectedJobDetailWaveformType === "tongtiao" ? (
<>
<Descriptions.Item label="最不利点(μs)">
{typeof detailSelectedCase.head_time_us === "number" && typeof detailSelectedCase.tail_time_us === "number"
@@ -1633,7 +1745,7 @@ export default function AdminFlAnalysisPage() {
? `v${readOptionalNumber(detailExternalExecution, "version_no")}`
: "-"}
</Descriptions.Item>
{selectedJob?.job_type === "tongtiao" ? (
{selectedJobDetailWaveformType === "tongtiao" ? (
<>
<Descriptions.Item label="主导相组">{readOptionalString(detailResultObject, "dominant_phase_set") ?? "-"}</Descriptions.Item>
<Descriptions.Item label="闪络相">{readOptionalString(detailResultObject, "flashover_phase") ?? "-"}</Descriptions.Item>
@@ -1674,7 +1786,7 @@ export default function AdminFlAnalysisPage() {
/>
)}
{selectedJob?.job_type === "normal" || selectedJob?.job_type === "tongtiao" ? (
{selectedJobDetailWaveformType === "normal" || selectedJobDetailWaveformType === "tongtiao" ? (
<>
<Typography.Title level={5} style={{ margin: 0 }}>
波形扫描
@@ -1694,7 +1806,7 @@ export default function AdminFlAnalysisPage() {
</>
) : null}
{selectedJob?.job_type === "tongtiao" ? (
{selectedJobDetailWaveformType === "tongtiao" ? (
<>
<Typography.Title level={5} style={{ margin: 0 }}>
相别结果
@@ -1834,6 +1946,109 @@ export default function AdminFlAnalysisPage() {
</Space>
</Modal>
<Modal
title={selectedJob ? `加装避雷器复算 - ${selectedJob.job_name || selectedJob.line_name || selectedJob.line_code}` : "加装避雷器复算"}
open={scenarioModalOpen}
width={1080}
confirmLoading={createScenarioMutation.isPending}
okText="创建并启动复算任务"
onCancel={() => {
if (createScenarioMutation.isPending) {
return;
}
setScenarioModalOpen(false);
}}
onOk={() => {
scenarioForm.submit();
}}
>
<Space direction="vertical" size={16} className="flex w-full">
<Alert
type="info"
showIcon
message="源端迁移口径：仅允许从措施推荐结果中继续选择仍为中高风险的杆塔，并复用一次已完成的普通/同跳计算链路，执行“补装避雷器后”的独立复算。"
/>
<Form<ScenarioFormValues>
form={scenarioForm}
layout="vertical"
onFinish={(values) => {
createScenarioMutation.mutate(values);
}}
>
<Form.Item
name="job_name"
label="任务名称"
rules={[{ required: true, message: "请输入任务名称" }]}
>
<Input placeholder="加装避雷器复算任务名称" />
</Form.Item>
<Form.Item
name="base_job_id"
label="复用计算任务"
rules={[{ required: true, message: "请选择复用的普通计算或同跳计算任务" }]}
>
<Select
placeholder="选择已成功完成的普通计算或同跳计算任务"
options={candidateScenarioBaseJobs.map((item) => ({
value: item.id,
label: `${item.job_name || item.line_name || item.line_code || item.id} / ${formatJobType(item.job_type)} / ${formatDateTime(item.finished_at)}`,
}))}
/>
</Form.Item>
</Form>
{candidateScenarioBaseJobs.length === 0 ? (
<Alert
type="warning"
showIcon
message="当前线路还没有可复用的普通计算或同跳计算成功任务。请先完成一次基线计算，再创建加装避雷器复算任务。"
/>
) : null}
{(candidateScenarioRows.length ?? 0) === 0 ? (
<Empty description="当前措施任务没有仍需复算的中高风险杆塔" />
) : (
<>
<Typography.Text type="secondary">
已命中 {candidateScenarioRows.length} 座仍为中高风险的杆塔。默认全选，可按需缩小复算范围。
</Typography.Text>
<Table<FlAnalysisTowerResultSummary>
rowKey="tower_id"
size="small"
pagination={{ pageSize: 8, showSizeChanger: false }}
rowSelection={{
selectedRowKeys: selectedScenarioTowerIds,
onChange: (keys) => {
setSelectedScenarioTowerIds(keys.map((item) => String(item)));
},
}}
columns={[
{ title: "杆塔号", dataIndex: "tower_no", width: 120 },
{
title: "预期风险",
dataIndex: "risk_level",
width: 120,
render: (value: string | null) => <Tag color={riskColor(value)}>{formatRiskLevel(value)}</Tag>,
},
{
title: "高风险原因",
key: "cause_analysis",
render: (_value, row) => readString(readObject(row.result_json), "cause_analysis"),
},
{
title: "当前动作",
key: "mitigation_recommendation",
render: (_value, row) => readString(readObject(row.result_json), "mitigation_recommendation"),
},
]}
dataSource={candidateScenarioRows}
scroll={{ x: 1000 }}
/>
</>
)}
</Space>
</Modal>
<Modal
title={selectedJob ? `报告生成 - ${selectedJob.job_name || selectedJob.line_name || selectedJob.line_code}` : "报告生成"}
open={reportModalOpen}
@@ -1854,7 +2069,7 @@ export default function AdminFlAnalysisPage() {
<Alert
type="info"
showIcon
message="源端迁移口径：报告任务挂靠在已完成的风险评估或措施推荐结果上，并允许按杆塔缩小纳入报告的范围。"
message="源端迁移口径：报告任务挂靠在已完成的风险评估或措施推荐结果上，并允许按杆塔缩小纳入报告的范围；若已存在关联的加装避雷器复算任务，报告会自动并入“采取措施后的计算结果表”。"
/>
<Form<ReportFormValues>
form={reportForm}