Migrate all repos into monorepo context folders

Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp, Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit, Projekt-KIQ-HP, teamlandkarte-mcp Dhive: Jury-Voting Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation) Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more Shared/references: symphony (read-only) Bahn repos remain available as independent remotes - this monorepo pulls them in via subtree, the originals are untouched.
2026-06-30 20:39:52 +02:00
parent 2f2b295531
commit a5f8fb49ab
1717 changed files with 447332 additions and 0 deletions
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+import datetime as dt
+
+import pytest
+
+from teamlandkarte_mcp.matching.matcher import Matcher
+from teamlandkarte_mcp.matching.scorer import categorize
+from teamlandkarte_mcp.mcp_server import _calculate_overlap_percentage, _task_role_text
+from teamlandkarte_mcp.models import Capacity, Requirements
+
+
+def test_task_role_text_title_first_fallback_to_description() -> None:
+    assert _task_role_text("DevOps Engineer", "foo") == "DevOps Engineer"
+    assert _task_role_text("  ", "Backend Developer") == "Backend Developer"
+    assert _task_role_text(None, "  Backend Developer  ") == "Backend Developer"
+
+
+def test_overlap_percentage_basic() -> None:
+    ref_start = dt.date(2025, 3, 1)
+    ref_end = dt.date(2025, 6, 30)
+
+    other_start = dt.date(2025, 3, 15)
+    other_end = dt.date(2025, 6, 30)
+
+    # 2025-03-01..2025-06-30 inclusive is 122 days; overlap is 108 days.
+    assert (
+        _calculate_overlap_percentage(
+            ref_start=ref_start,
+            ref_end=ref_end,
+            other_start=other_start,
+            other_end=other_end,
+        )
+        == "89%"
+    )
+
+
+def test_overlap_percentage_open_ended_other_end() -> None:
+    ref_start = dt.date(2025, 3, 1)
+    ref_end = dt.date(2025, 3, 31)
+
+    other_start = dt.date(2025, 3, 15)
+    other_end = None
+
+    assert (
+        _calculate_overlap_percentage(
+            ref_start=ref_start,
+            ref_end=ref_end,
+            other_start=other_start,
+            other_end=other_end,
+        )
+        == "55%"
+    )
+
+
+def test_categorize_includes_irrelevant() -> None:
+    class _T:
+        top = 0.8
+        good = 0.6
+        partial = 0.4
+        low = 0.2
+
+    class _Cfg:
+        thresholds = _T()
+
+    assert categorize(0.19, _Cfg()) == "Irrelevant"
+    assert categorize(0.20, _Cfg()) == "Low"
+
+
+@pytest.mark.asyncio
+async def test_matcher_includes_irrelevant_bucket(monkeypatch) -> None:
+    # Arrange: Build a matcher with a fake similarity engine that returns 0 scores.
+    class _FakeSim:
+        use_bm25_search = False  # tells Matcher not to build a global index
+
+        async def compute_competence_similarity(self, required, present, global_index=None):
+            return {r: {"score": 0.0} for r in required}
+
+        async def compute_role_similarity(self, required_role, cap_role):
+            return 0.0
+
+    class _Thresh:
+        top = 0.8
+        good = 0.6
+        partial = 0.4
+        low = 0.2
+
+    class _Cfg:
+        competence_weight = 0.8
+        role_weight = 0.2
+        thresholds = _Thresh()
+
+    matcher = Matcher(_FakeSim(), _Cfg())
+
+    cap = Capacity(
+        id=1,
+        owner_name="A",
+        role_name="X",
+        role_level=None,
+        begin_date=dt.date(2025, 1, 1),
+        end_date=dt.date(2025, 12, 31),
+        competences=["a"],
+    )
+    req = Requirements(
+        role_name="Y",
+        competences=["b"],
+        date_start=dt.date(2025, 1, 1),
+        date_end=dt.date(2025, 1, 2),
+    )
+
+    # Act
+    res = await matcher.match([cap], req)
+
+    # Assert
+    assert "Irrelevant" in res.by_category
+    assert len(res.by_category["Irrelevant"]) == 1