#!/usr/bin/env python3
"""Render a human-review page for the thinking model catalog."""
from __future__ import annotations
import csv
import html
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
CATALOG = ROOT / "outputs" / "thinking-model-catalog.csv"
ROUTER = ROOT / "outputs" / "thinking-model-router.csv"
OUT = ROOT / "thinking-models-review.html"
def read_csv(path: Path) -> list[dict[str, str]]:
with path.open(encoding="utf-8") as fh:
return list(csv.DictReader(fh))
def esc(value: str) -> str:
return html.escape(value or "")
def main() -> int:
catalog = read_csv(CATALOG)
router = read_csv(ROUTER)
parts: dict[str, int] = {}
for row in catalog:
parts[row["part"]] = parts.get(row["part"], 0) + 1
router_cards = "\n".join(
f"""
{esc(row['scenario'])}
{esc(row['preferred_models'])}
{esc(row['target_result'])}
"""
for row in router
)
part_cards = "\n".join(
f"{esc(part)} {count}"
for part, count in parts.items()
)
rows = "\n".join(
f"""
| {esc(row['model_id'])} |
{esc(row['model'])} |
{esc(row['part'])} |
{esc(row['when_to_use'])} |
{esc(row['expected_output'])} |
"""
for row in catalog
)
html_doc = f"""
思维模型问答知识库 Review
{len(catalog)}模型条目
{len(router)}问答场景路由
151PPT 页数，含目录页
0原始 PPTX 入 Git
归档边界
原始 PPTX 为 53MB 本地桌面文件，已登记 SHA256 和资产卡，不直接复制进 Git。项目内保留文本抽取、来源索引、模型目录、场景路由、Review 页和可复制 skill。
使用时不能把模型当作事实来源。项目真实证据、日志、代码、合同、客户材料和微盘索引优先级高于模型推断。
150 个模型目录
| ID |
模型 |
类别 |
何时使用 |
产出结果 |
{rows}
"""
OUT.write_text(html_doc, encoding="utf-8")
print(OUT)
return 0
if __name__ == "__main__":
raise SystemExit(main())