from __future__ import annotations
import datetime as _dt
import os
import xml.sax.saxutils as saxutils
import zipfile
from pathlib import Path
ROOT = Path(r"D:\data\ideaSpace\rust\sgClaw\claw-new")
SCENES_DIR = Path(r"D:\desk\智能体资料\全量业务场景\一平台场景")
OUTPUT = ROOT / "docs" / "2026-04-18-102-scenes-validation-overview.xlsx"
SCENE_STATUS = {
"台区线损大数据-月_周累计线损率统计分析": {
"family": "G2",
"group": "线损多模式家族",
"validated": "是",
"status": "已实跑",
"result": "未通过",
"conclusion": "首轮已生成但语义未通过,后续已进入 G2 整改主线",
},
"白银线损周报": {
"family": "G2",
"group": "线损多模式家族",
"validated": "是",
"status": "已实跑",
"result": "未通过",
"conclusion": "已生成,但首轮语义未通过",
},
"线损同期差异报表": {
"family": "G2",
"group": "线损多模式家族",
"validated": "是",
"status": "已实跑",
"result": "未通过",
"conclusion": "已生成,但首轮语义未通过",
},
"高低压新增报装容量月度统计表": {
"family": "G1-E",
"group": "业扩/报装轻量补查家族",
"validated": "是",
"status": "已实跑并通过 P0",
"result": "通过",
"conclusion": "当前唯一已打通的 G1-E 真实样本",
},
"电能表现场检验完成率指标报表": {
"family": "G6",
"group": "宿主桥接多步查询家族",
"validated": "是",
"status": "已复核",
"result": "已重分组",
"conclusion": "从 G1 边界移出,判为宿主桥接多步查询型",
},
"计量资产库存统计": {
"family": "G7",
"group": "多接口盘点汇总家族",
"validated": "是",
"status": "已复核",
"result": "已重分组",
"conclusion": "从 G1 边界移出,判为多接口盘点汇总型",
},
"95598供电服务月报": {
"family": "G8",
"group": "抓取落库分析出文档家族",
"validated": "是",
"status": "已复核",
"result": "已重分组",
"conclusion": "从 G1 边界移出,判为抓取落库分析出文档型",
},
"用电报装信息统计列表": {
"family": "G1-E 候选/待重分",
"group": "业扩/报装轻量补查家族",
"validated": "是",
"status": "已实跑",
"result": "Fail-closed",
"conclusion": "被识别为 single_request_enrichment,但证据不闭环",
},
"业扩报装质量评价体系": {
"family": "G1-E 候选/待重分",
"group": "业扩/报装轻量补查家族",
"validated": "是",
"status": "已实跑",
"result": "Fail-closed",
"conclusion": "被识别为 single_request_enrichment,但证据不闭环",
},
}
def infer_group(scene_name: str) -> tuple[str, str]:
if scene_name in SCENE_STATUS:
item = SCENE_STATUS[scene_name]
return item["group"], item["family"]
if "线损" in scene_name:
return "线损家族候选", "候选 G2"
if any(token in scene_name for token in ["报装", "业扩", "供电方案"]):
return "业扩/报装家族候选", "候选 G1-E/G6"
if any(token in scene_name for token in ["95598", "12398"]):
return "95598/工单家族候选", "待分组"
if any(token in scene_name for token in ["计量", "表计", "库存"]):
return "计量/资产家族候选", "待分组"
if any(token in scene_name for token in ["日报", "周报", "月报", "统计", "报表", "报告"]):
return "通用报表候选", "待分组"
return "未分组", "待分组"
def build_summary_rows(scene_names: list[str]) -> list[list[str]]:
validated_count = len(SCENE_STATUS)
passed_count = sum(1 for item in SCENE_STATUS.values() if item["result"] == "通过")
failed_closed = sum(1 for item in SCENE_STATUS.values() if item["result"] == "Fail-closed")
regrouped = sum(1 for item in SCENE_STATUS.values() if item["result"] == "已重分组")
not_passed = sum(1 for item in SCENE_STATUS.values() if item["result"] == "未通过")
unvalidated = len(scene_names) - validated_count
return [
["统计项", "数量", "说明"],
["总场景数", str(len(scene_names)), "场景目录实际统计值"],
["已有明确验证结论", str(validated_count), "已实跑或已基于生成结果形成正式结论"],
["尚未进入当前轮实跑验证", str(unvalidated), "暂无单场景正式验证结论"],
["已通过真实样本验证", str(passed_count), "当前仅 1 个 G1-E P0 样本通过"],
["已实跑但未通过", str(not_passed), "当前主要集中在 G2 首轮样本"],
["已实跑且 Fail-closed", str(failed_closed), "识别正确但当前合同不闭环"],
["已完成重分组复核", str(regrouped), "已从 G1 边界移出的样本"],
["生成时间", _dt.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "本 Excel 生成时间"],
]
def build_verified_rows() -> list[list[str]]:
rows = [["场景", "当前归属/目标家族", "分组结果", "是否已验证", "当前状态", "验证结果", "结论"]]
for scene_name, item in SCENE_STATUS.items():
rows.append(
[
scene_name,
item["family"],
item["group"],
item["validated"],
item["status"],
item["result"],
item["conclusion"],
]
)
return rows
def build_all_rows(scene_names: list[str]) -> list[list[str]]:
rows = [["场景", "当前分组结果", "当前家族判断", "是否已有明确验证结论", "当前验证状态", "验证结果", "备注"]]
for scene_name in scene_names:
if scene_name in SCENE_STATUS:
item = SCENE_STATUS[scene_name]
rows.append(
[
scene_name,
item["group"],
item["family"],
item["validated"],
item["status"],
item["result"],
item["conclusion"],
]
)
else:
group, family = infer_group(scene_name)
rows.append(
[
scene_name,
group,
family,
"否",
"未进入当前轮实跑验证",
"无",
"当前仅有目录信息或家族候选判断,尚无单场景正式验证结论",
]
)
return rows
def col_name(index: int) -> str:
result = ""
while index > 0:
index, rem = divmod(index - 1, 26)
result = chr(65 + rem) + result
return result
def sheet_xml(rows: list[list[str]]) -> str:
xml_rows: list[str] = []
for r_idx, row in enumerate(rows, start=1):
cells: list[str] = []
for c_idx, value in enumerate(row, start=1):
ref = f"{col_name(c_idx)}{r_idx}"
text = saxutils.escape("" if value is None else str(value))
cells.append(f'{text}')
xml_rows.append(f'{"".join(cells)}
')
dimension = f"A1:{col_name(max(len(r) for r in rows))}{len(rows)}"
return (
''
''
f''
""
""
""
+ "".join(xml_rows)
+ ""
)
def write_xlsx(output: Path, sheets: list[tuple[str, list[list[str]]]]) -> None:
output.parent.mkdir(parents=True, exist_ok=True)
content_types = [
'',
'',
'',
'',
'',
'',
'',
]
for idx in range(1, len(sheets) + 1):
content_types.append(
f''
)
content_types.append("")
workbook_sheets = []
workbook_rels = []
for idx, (name, _rows) in enumerate(sheets, start=1):
safe_name = saxutils.escape(name)
workbook_sheets.append(
f''
)
workbook_rels.append(
f''
)
workbook_xml = (
''
''
""
+ "".join(workbook_sheets)
+ ""
)
workbook_rels_xml = (
''
''
+ "".join(workbook_rels)
+ ""
)
root_rels_xml = (
''
''
''
''
''
""
)
now = _dt.datetime.now(_dt.UTC).replace(microsecond=0).isoformat().replace("+00:00", "Z")
core_xml = (
''
''
"Codex"
"Codex"
f'{now}'
f'{now}'
""
)
app_xml = (
''
''
"Microsoft Excel"
""
)
with zipfile.ZipFile(output, "w", compression=zipfile.ZIP_DEFLATED) as zf:
zf.writestr("[Content_Types].xml", "".join(content_types))
zf.writestr("_rels/.rels", root_rels_xml)
zf.writestr("docProps/core.xml", core_xml)
zf.writestr("docProps/app.xml", app_xml)
zf.writestr("xl/workbook.xml", workbook_xml)
zf.writestr("xl/_rels/workbook.xml.rels", workbook_rels_xml)
for idx, (_name, rows) in enumerate(sheets, start=1):
zf.writestr(f"xl/worksheets/sheet{idx}.xml", sheet_xml(rows))
def main() -> None:
scene_names = sorted(p.name for p in SCENES_DIR.iterdir() if p.is_dir())
sheets = [
("汇总", build_summary_rows(scene_names)),
("已验证场景", build_verified_rows()),
("102场景总表", build_all_rows(scene_names)),
]
write_xlsx(OUTPUT, sheets)
print(os.fspath(OUTPUT))
if __name__ == "__main__":
main()