答辩级 UI 改造：指挥台驾驶舱/证据地图/演化生命线/成长路线图/候选审核台

- 驾驶舱改'人才能力变化指挥台'：变化事件流主图+可信度卡+行动卡+播报卡
- 图谱子图同心分层布局、技能变化角标、系统发现折叠入右栏、主操作收敛
- 演化页双 Tab（岗位报告/全岗位扫描）+ 能力生命线 Swimlane + 更替流
- 学习路径成长路线图：概要条/示范路线/预计投入/标记完成联动
- 新增候选审核台抽屉 + GET /api/stats/credibility
- 简历裸姓名/专硕提取修复（桌面真实简历验收通过）+ BGE-M3 加载提示

tests/test_api.py

@@ -38,6 +38,20 @@ def test_graph_endpoint(client):
     assert any(e.get("rel") == "BELONGS_TO" for e in data["edges"])
 
 
+def test_credibility_stats(client):
+    """数据可信度卡：有效 JD / 独立企业 / 来源类型 / 人工复核率 / 异常剔除率。"""
+    r = client.get("/api/stats/credibility")
+    assert r.status_code == 200
+    d = r.json()["data"]
+    assert d["jd_total"] >= d["jd_valid"] > 0
+    assert d["companies"] >= 5
+    assert d["sources"] >= 1 and len(d["source_names"]) == d["sources"]
+    assert 0.0 <= d["excluded_rate"] <= 1.0
+    assert d["reviewed"] >= 0 and d["pending"] >= 0
+    if d["review_rate"] is not None:
+        assert 0.0 <= d["review_rate"] <= 1.0
+
+
 def test_jobs_list_and_filter(client):
     r = client.get("/api/jobs")
     assert r.status_code == 200

tests/test_frontend_logic.js

@@ -70,5 +70,28 @@ const heat = Array.from({ length: 30 }, (_, i) => [`20${10 + i}Q1`, i]);
 eq(heat.slice(-8).length, 8, "近8季切片");
 eq(heat.slice(-Infinity).length, 30, "全部范围");
 
+/* candidateTrust：候选可信等级四指标（JD≥15 / 企业≥5 / 增长趋势 / 差异度≥0.40） */
+const candidateTrust = loadFn("candidateTrust");
+const stageEffortText = loadFn("stageEffortText");
+const existJobs = [{ title: "Java开发工程师", required_skills: ["Java", "MySQL"], preferred_skills: ["Redis"] }];
+const strong = candidateTrust({
+  source_count: 31, company_count: 12,
+  support_windows: ["2025Q1", "2025Q2", "2025Q3", "2025Q4", "2026Q1", "2026Q2"],
+  required_skills: ["RAG", "向量检索"], preferred_skills: [],
+}, existJobs);
+eq(strong.dots.length, 4, "四指标点");
+eq(strong.level, "高", "四指标全达标为高");
+const weak = candidateTrust({
+  source_count: 3, company_count: 1, support_windows: ["2026Q2"],
+  required_skills: ["Java", "MySQL"], preferred_skills: ["Redis"],
+}, existJobs);
+eq(weak.level, "低", "弱证据且与既有岗位重合为低");
+eq(weak.nearest.title, "Java开发工程师", "识别出最相近既有岗位");
+eq(weak.distinctness, 0, "技能完全重合时差异度为 0");
+
+/* stageEffortText：阶段预计投入（每周约 8 小时） */
+eq(stageEffortText(2), "2 周 / 约 16 小时", "阶段投入文案");
+eq(stageEffortText(1), "1 周 / 约 8 小时", "单周投入文案");
+
 console.log(`\n${pass} passed, ${fail} failed`);
 process.exit(fail ? 1 : 0);

tests/test_match.py

@@ -91,3 +91,17 @@ def test_resume_parse_skills_and_years():
     assert profile.years == 5.0
     assert set(profile.skills) == {"Java", "MySQL", "Docker"}
     assert "138" not in profile.raw_masked_text
+
+
+def test_resume_bare_name_and_edu_alias():
+    """真实简历排版：首行裸姓名（无"姓名："前缀）可识别并脱敏；专硕归一为硕士。"""
+    from app.match.resume import parse_resume
+    text = ("      王伟航          \n出生年月：2003年10月      现居地：辽宁大连\n"
+            "联系电话：19293819303  电子邮件：wwh@example.com\n"
+            "东北财经大学  金融科技（专硕）  2025.09-至今\n"
+            "职业技能：熟练掌握Python、Hadoop等数据分析技能。")
+    p = parse_resume(text)
+    assert p.name == "王**" and "王伟航" not in p.raw_masked_text   # 裸姓名识别+脱敏
+    assert p.education == "硕士"                                     # 专硕→硕士
+    assert p.address.startswith("辽宁大连")
+    assert "Python" in p.skills