4a8613b27e
- run_match 新增 skip_incomplete：批量缺省跳过画像不完整教师并记录 skipped，指定单教师仍 PROFILE_INCOMPLETE；汇总页出"画像待补录"行 - render-html 补 --report-id 行上下文（inputMapping $row.$pk），CLI 容错解析回退最近 10 份 - report_service 日志改容错 _log()，修复未 setup 时单跑测试崩溃的顺序依赖 - fixtures 替换为教师画像/赛道/期望结论金标准样例，新增 sample_tracks.json - 新增 4 个批量跳过用例（314 项，除 3 个已知 jsonschema 环境失败外全绿） - tests/README 增补本机无共享 runtime 的测试方式；TUTORIAL/ACTIONS.md 同步表述
215 lines
9.1 KiB
Python
215 lines
9.1 KiB
Python
# -*- coding: utf-8 -*-
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"""赛道匹配内核金标准用例（离线、确定性）。"""
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from __future__ import annotations
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import unittest
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from _support import IsolatedDataRoot
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def _teacher(**overrides) -> dict:
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base = {
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"teacherName": "张教授",
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"department": "化材学院",
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"title": "教授",
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"researchTags": "钙钛矿,光伏,半导体,界面调控,稳定性",
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"recentPapers": "钙钛矿电池界面钝化研究",
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"projectHistory": "主持省自然科学基金",
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"sciQ1Count": 3,
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"corePaperCount": 8,
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}
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base.update(overrides)
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return base
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def _tracks() -> list[dict]:
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return [
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{"year": 2027, "programName": "面上项目", "trackName": "光伏材料", "trackTags": "钙钛矿,光伏,半导体", "priorityKeywords": "界面调控,稳定性", "minTitle": "副高及以上"},
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{"year": 2027, "programName": "青年项目", "trackName": "柔性电子", "trackTags": "二维材料,柔性电子,钙钛矿"},
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{"year": 2027, "programName": "青年项目", "trackName": "农村经济", "trackTags": "乡村振兴,农村经济"},
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{"year": 2027, "programName": "重点项目", "trackName": "量子计算", "trackTags": "量子计算,量子信息", "minTitle": "正高及以上", "minSciQ1": 5},
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]
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class MatchRuleTestBase(unittest.TestCase):
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def setUp(self) -> None:
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self._root = IsolatedDataRoot()
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self._root.__enter__()
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from db.connection import init_db
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init_db()
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def tearDown(self) -> None:
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self._root.__exit__(None, None, None)
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def _match(self, teacher=None, tracks=None):
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from service.match_service import match_teacher
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return match_teacher(teacher or _teacher(), tracks if tracks is not None else _tracks(), "2027")
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class TestHardThresholds(MatchRuleTestBase):
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def test_h1_title_threshold_excludes(self) -> None:
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result = self._match(_teacher(title="讲师"))
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excluded_tracks = {e["track"] for e in result["excluded"]}
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self.assertIn("重点项目·量子计算", excluded_tracks)
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self.assertIn("H1", result["excluded"][0]["reason"])
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def test_h1_min_title_none_no_filter(self) -> None:
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result = self._match(_teacher(title="讲师"))
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# 无门槛赛道不受影响
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self.assertGreater(result["eligible_count"], 0)
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def test_h2_sci_q1_threshold_excludes(self) -> None:
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result = self._match(_teacher(title="研究员", sciQ1Count=2))
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excluded_tracks = {e["track"] for e in result["excluded"]}
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self.assertIn("重点项目·量子计算", excluded_tracks)
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self.assertIn("H2", result["excluded"][0]["reason"])
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def test_e1_incomplete_profile_raises(self) -> None:
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with self.assertRaises(ValueError):
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self._match(_teacher(researchTags="", recentPapers=""))
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class TestScoring(MatchRuleTestBase):
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def test_s3_full_coverage_with_priority_hits(self) -> None:
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result = self._match()
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top = result["top3"][0]
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# 光伏材料：coverage 3/3=1.0 → 0.7 + priority 2 hits 0.3 = 1.0
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self.assertEqual(top["track"], "面上项目·光伏材料")
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self.assertEqual(top["match_pct"], 100)
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self.assertEqual(top["tier"], "强烈推荐")
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def test_t1_try_band(self) -> None:
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result = self._match(_teacher(researchTags="钙钛矿,光伏", recentPapers=""))
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entry = next(e for e in result["top3"] if e["track"] == "面上项目·光伏材料")
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# coverage 2/3 → 0.7*0.667=0.4667 → 47% 不建议？ + 无 priority → 47%；二维材料 coverage 1/3=0.333→23%
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self.assertEqual(entry["match_pct"], 47)
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self.assertEqual(entry["tier"], "不建议")
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def test_t1_strong_boundary(self) -> None:
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# 恰好 80% 属强烈推荐
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result = self._match(_teacher(researchTags="钙钛矿,光伏,半导体", recentPapers=""))
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entry = next(e for e in result["top3"] if e["track"] == "面上项目·光伏材料")
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# coverage 1.0 → 0.7 → 70% 可尝试
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self.assertEqual(entry["tier"], "可尝试")
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self.assertEqual(entry["match_pct"], 70)
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def test_t2_top3_truncation_and_order(self) -> None:
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result = self._match()
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self.assertLessEqual(len(result["top3"]), 3)
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pcts = [e["match_pct"] for e in result["top3"]]
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self.assertEqual(pcts, sorted(pcts, reverse=True))
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def test_reasons_traceable(self) -> None:
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result = self._match()
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top = result["top3"][0]
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self.assertTrue(any("命中需求标签" in r for r in top["reasons"]))
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self.assertTrue(any("优先资助方向" in r for r in top["reasons"]))
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class TestKernelAndPersistence(MatchRuleTestBase):
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def _run(self, teachers=None):
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from service.match_service import run_match
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return run_match(teachers or [_teacher()], _tracks(), "2027")
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def test_run_match_writes_reports_and_brief(self) -> None:
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result = self._run([_teacher(), _teacher(teacherName="李教授", researchTags="乡村振兴,农村金融", title="教授")])
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self.assertEqual(result["count"], 2)
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self.assertTrue(result["brief_file"].endswith(".html"))
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for report in result["reports"]:
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self.assertTrue(report["report_file"].endswith(".html"))
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with open(report["report_file"], encoding="utf-8") as f:
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html_text = f.read()
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self.assertIn("申报策略建议书", html_text)
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self.assertIn("仅供参考", html_text)
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def test_empty_tracks_raises(self) -> None:
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from service.match_service import run_match
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with self.assertRaises(ValueError):
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run_match([_teacher()], [], "2027")
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def test_no_teachers_raises(self) -> None:
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from service.match_service import run_match
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with self.assertRaises(ValueError):
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run_match([], _tracks(), "2027")
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def test_upsert_teacher_and_track(self) -> None:
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from service.profile_service import upsert_teacher, upsert_track
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payload = upsert_teacher({"teacher_name": "张教授", "title": "教授"})
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self.assertEqual(payload["action"], "created")
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payload = upsert_teacher({"teacher_name": "张教授", "sci_q1_count": 5})
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self.assertEqual(payload["action"], "updated")
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with self.assertRaises(ValueError):
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upsert_teacher({"teacher_name": ""})
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payload = upsert_track({"year": 2027, "track_name": "光伏材料", "track_tags": "钙钛矿,光伏,半导体"})
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self.assertEqual(payload["action"], "created")
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with self.assertRaises(ValueError):
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upsert_track({"year": 2027, "track_name": "光伏材料", "min_title": "院士及以上"})
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def test_stats(self) -> None:
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from service.profile_service import stats, upsert_track
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for track in _tracks():
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upsert_track({
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"year": track["year"],
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"track_name": track["trackName"],
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"program_name": track.get("programName", ""),
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"track_tags": track.get("trackTags", ""),
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})
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self._run()
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payload = stats()
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self.assertEqual(payload["report_total"], 1)
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self.assertEqual(payload["tracks_by_year"].get("2027"), 4)
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class TestBatchSkipIncomplete(MatchRuleTestBase):
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"""批量缺省跳过画像不完整教师（E1），指定单教师保持严格失败。"""
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def test_batch_skips_incomplete_teacher(self) -> None:
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from service.match_service import run_match
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incomplete = _teacher(teacherName="王讲师", researchTags="", recentPapers="")
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payload = run_match([_teacher(), incomplete], _tracks(), "2027")
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self.assertEqual(payload["ok"], True)
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self.assertEqual(payload["count"], 1)
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self.assertEqual(len(payload["skipped"]), 1)
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skipped = payload["skipped"][0]
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self.assertEqual(skipped["teacher_name"], "王讲师")
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self.assertIn("E1", skipped["reason"])
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# 正常教师仍有报告
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self.assertEqual(len(payload["reports"]), 1)
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self.assertEqual(payload["reports"][0]["teacher_name"], "张教授")
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def test_batch_brief_marks_skipped_teacher(self) -> None:
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from service.match_service import run_match
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incomplete = _teacher(teacherName="王讲师", researchTags="", recentPapers="")
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payload = run_match([_teacher(), incomplete], _tracks(), "2027")
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with open(payload["brief_file"], encoding="utf-8") as f:
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html_text = f.read()
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self.assertIn("画像待补录", html_text)
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self.assertIn("王讲师", html_text)
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def test_all_skipped_still_returns_success_payload(self) -> None:
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from service.match_service import run_match
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payload = run_match([_teacher(researchTags="", recentPapers="")], _tracks(), "2027")
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self.assertEqual(payload["ok"], True)
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self.assertEqual(payload["count"], 0)
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self.assertEqual(len(payload["skipped"]), 1)
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def test_strict_mode_raises_for_incomplete(self) -> None:
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from service.match_service import run_match
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with self.assertRaises(ValueError):
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run_match([_teacher(researchTags="", recentPapers="")], _tracks(), "2027", skip_incomplete=False)
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if __name__ == "__main__":
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unittest.main()
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