test: cover zhihu hotlist script fallback

tests/skill_script_hotlist_extractor_test.py

@@ -0,0 +1,127 @@
+import json
+import subprocess
+import textwrap
+import unittest
+from pathlib import Path
+
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+EXTRACTOR_PATH = (
+    REPO_ROOT.parent / "skill_lib" / "skills" / "zhihu-hotlist" / "scripts" /
+    "extract_hotlist.js"
+)
+
+
+def run_extractor(*, body_text: str, selectors: dict[str, list[dict]] | None = None) -> dict:
+    selector_map = selectors or {}
+    node_script = textwrap.dedent(
+        f"""
+        import fs from 'node:fs';
+        import vm from 'node:vm';
+
+        const extractorPath = {json.dumps(str(EXTRACTOR_PATH))};
+        const selectorMap = {json.dumps(selector_map, ensure_ascii=False)};
+        const bodyText = {json.dumps(body_text, ensure_ascii=False)};
+        const source = fs.readFileSync(extractorPath, 'utf8');
+
+        function createNode(spec) {{
+          const text = String(spec?.text ?? '');
+          const children = spec?.selectors ?? {{}};
+          return {{
+            textContent: text,
+            innerText: text,
+            querySelector(selector) {{
+              const value = children[selector];
+              if (!value) {{
+                return null;
+              }}
+              return createNode(value);
+            }},
+          }};
+        }}
+
+        const bodyNode = createNode({{text: bodyText}});
+        const context = {{
+          args: {{top_n: '10'}},
+          location: {{origin: 'https://www.zhihu.com', pathname: '/hot'}},
+          document: {{
+            body: bodyNode,
+            querySelector(selector) {{
+              if (selector === 'body' || selector === '#root' || selector === 'main') {{
+                return bodyNode;
+              }}
+              return null;
+            }},
+            querySelectorAll(selector) {{
+              return (selectorMap[selector] || []).map((item) => createNode(item));
+            }},
+          }},
+          console,
+          JSON,
+          Math,
+          Number,
+          Object,
+          RegExp,
+          Set,
+          String,
+          Array,
+          Error,
+        }};
+
+        try {{
+          const result = vm.runInNewContext(`(function(){{\\n${{source}}\\n}})()`, context);
+          process.stdout.write(JSON.stringify({{ok: true, result}}));
+        }} catch (error) {{
+          process.stdout.write(JSON.stringify({{
+            ok: false,
+            error: String(error && error.message ? error.message : error),
+          }}));
+          process.exitCode = 1;
+        }}
+        """
+    )
+    completed = subprocess.run(
+        ["node", "--input-type=module", "-e", node_script],
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+    payload = json.loads(completed.stdout)
+    if completed.returncode != 0:
+        raise AssertionError(payload["error"])
+    return payload["result"]
+
+
+class SkillScriptHotlistExtractorTest(unittest.TestCase):
+    def test_extracts_hotlist_from_page_text_when_legacy_dom_classes_are_missing(self):
+        result = run_extractor(
+            body_text=textwrap.dedent(
+                """
+                知乎热榜
+                1
+                如何看待张雪机车在 2026 年 WSBK 葡萄牙站夺冠？
+                1707 万热度
+                2
+                李荣浩摆证据 4 连质问单依纯
+                1150 万热度
+                3
+                日本拟动用外储做空国际原油
+                601 万热度
+                """
+            ),
+        )
+
+        self.assertEqual(result["sheet_name"], "知乎热榜")
+        self.assertEqual(result["columns"], ["rank", "title", "heat"])
+        self.assertEqual(
+            result["rows"][:3],
+            [
+                [1, "如何看待张雪机车在 2026 年 WSBK 葡萄牙站夺冠？", "1707万"],
+                [2, "李荣浩摆证据 4 连质问单依纯", "1150万"],
+                [3, "日本拟动用外储做空国际原油", "601万"],
+            ],
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()