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.
This commit is contained in:
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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from __future__ import annotations
from dataclasses import dataclass
from datetime import date, datetime
from typing import Any
from unittest.mock import AsyncMock
import pytest
import teamlandkarte_mcp.mcp_server as mcp_mod
from teamlandkarte_mcp.mcp_server import build_server
def _result_to_text(result: Any) -> str:
if isinstance(result, tuple) and len(result) == 2:
content, structured = result
if isinstance(structured, dict) and isinstance(structured.get("result"), str):
return structured["result"]
if isinstance(content, list) and content:
text = getattr(content[0], "text", None)
if isinstance(text, str):
return text
return str(result)
async def _call_tool(
srv: Any,
name: str,
args: dict[str, Any] | None = None,
) -> str:
if args is None:
args = {}
return _result_to_text(await srv.call_tool(name, args))
@pytest.mark.asyncio
async def test_integration_capacity_search_filter_and_pagination(
monkeypatch,
tmp_path,
) -> None:
cfg = tmp_path / "config.toml"
cfg.write_text(
"""
[database]
host='x'
port=1
username='u'
password='p'
backend='trino'
[matching]
competence_weight=0.8
role_weight=0.2
require_confirmation=false
[cache]
db_ttl_hours=1
search_ttl_minutes=60
max_size=100
""".strip(),
encoding="utf-8",
)
from teamlandkarte_mcp.models import Capacity
class _FakeDB:
def test_connection(self) -> None:
return
def get_table_columns(self, table: str) -> list[str]:
if table == "teamlandkarte_v_capacity_roles_latest":
return ["name", "active", "staffing_board_relevant"]
if table == "teamlandkarte_v_capacities_latest":
return ["creation_date"]
if table == "teamlandkarte_v_teams_latest":
return [
"team_id",
"ouid",
"about_us",
"offerings",
"interests",
"focus_name",
]
if table == "teamlandkarte_v_teammeter_organizational_units_latest":
return ["id", "name"]
if table == "teamlandkarte_v_teammeter_team_competences_latest":
return ["ouid", "competence_id", "top_competency"]
if table == "teamlandkarte_v_team_references_latest":
return ["ouid", "partner_id", "projects"]
return []
def get_all_role_names(self) -> list[str]:
return ["X"]
def get_all_competence_names(self) -> list[str]:
return ["A"]
def get_open_tasks(self, limit: int = 20):
return []
def get_all_capacities_with_competences(self):
return [
Capacity(
id=1,
owner_name="A",
role_name="X",
role_level=None,
begin_date=date(2025, 2, 1),
end_date=date(2025, 7, 31),
competences=["A"],
),
Capacity(
id=2,
owner_name="B",
role_name="X",
role_level=None,
begin_date=date(2025, 3, 15),
end_date=date(2025, 6, 15),
competences=["A"],
),
]
def get_recent_free_capacities(self, limit: int = 20):
return []
monkeypatch.setattr(
mcp_mod,
"create_db_client",
lambda *_args, **_kwargs: _FakeDB(),
)
# Mock LLM chat_completion to avoid network calls.
monkeypatch.setattr(
"teamlandkarte_mcp.azure.openai_client.AzureOpenAIClient.chat_completion",
AsyncMock(return_value='{"similarity": 1.0}'),
)
srv = build_server(str(cfg))
res = await _call_tool(
srv,
"find_matching_capacities",
{
"role_name": "X",
"competences": ["A"],
"date_start": "2025-03-01",
"date_end": "2025-06-30",
},
)
assert "SEARCH_ID=" in res
search_id = res.split("SEARCH_ID=")[1].splitlines()[0].strip()
filtered = await _call_tool(
srv,
"filter_search_results",
{"search_id": search_id, "is_fully_available": True},
)
assert "FILTER_ID=" in filtered
filter_id = filtered.split("FILTER_ID=")[1].splitlines()[0].strip()
assert "Filtered total results: 1" in filtered
page = await _call_tool(
srv,
"get_results_by_category",
{
"search_id": search_id,
"filter_id": filter_id,
"category": "Low",
"page": 1,
"page_size": 20,
},
)
assert "Total items in category: 1" in page
assert "| 1 |" in page
assert "| 2 |" not in page
@pytest.mark.asyncio
async def test_integration_task_search_filters_and_pagination(
monkeypatch,
tmp_path,
) -> None:
cfg = tmp_path / "config.toml"
cfg.write_text(
"""
[database]
host='x'
port=1
username='u'
password='p'
backend='trino'
[matching]
competence_weight=0.8
role_weight=0.2
require_confirmation=false
[cache]
db_ttl_hours=1
search_ttl_minutes=60
max_size=100
""".strip(),
encoding="utf-8",
)
@dataclass
class _Task:
id: str
name: str | None = None
title: str = ""
description: str = ""
created_date: datetime = datetime(2025, 1, 1)
start_date: date | None = None
end_date: date | None = None
skills: list[str] = None # type: ignore[assignment]
def __post_init__(self):
if self.skills is None:
self.skills = []
class _FakeDB:
def test_connection(self) -> None:
return
def get_table_columns(self, table: str) -> list[str]:
if table == "teamlandkarte_v_capacity_roles_latest":
return ["name", "active", "staffing_board_relevant"]
if table == "teamlandkarte_v_capacities_latest":
return ["creation_date"]
if table == "teamlandkarte_v_teams_latest":
return [
"team_id",
"ouid",
"about_us",
"offerings",
"interests",
"focus_name",
]
if table == "teamlandkarte_v_teammeter_organizational_units_latest":
return ["id", "name"]
if table == "teamlandkarte_v_teammeter_team_competences_latest":
return ["ouid", "competence_id", "top_competency"]
if table == "teamlandkarte_v_team_references_latest":
return ["ouid", "partner_id", "projects"]
return []
def get_all_role_names(self) -> list[str]:
return ["Frontend Developer", "Backend Engineer"]
def get_all_competence_names(self) -> list[str]:
return ["React", "TypeScript", "Python", "PostgreSQL"]
def get_open_tasks(self, limit: int = 20):
tasks = [
_Task(
id="T1",
title="Frontend Developer",
description="React and TypeScript",
created_date=datetime(2025, 1, 1),
start_date=date(2025, 5, 1),
end_date=date(2025, 7, 31),
skills=["React", "TypeScript"],
),
_Task(
id="T2",
title="Backend Engineer",
description="Python and PostgreSQL",
created_date=datetime(2025, 1, 1),
start_date=date(2025, 5, 1),
end_date=date(2025, 7, 31),
skills=["Python"],
),
]
return tasks if limit == 0 else tasks[:limit]
def get_task_by_id(self, task_id: str): # pragma: no cover
return None
def get_task_by_name(self, name: str): # pragma: no cover
return None
def get_all_capacities_with_competences(self): # pragma: no cover
return []
def get_recent_free_capacities(
self,
limit: int = 20,
): # pragma: no cover
return []
def get_capacity_by_id(self, capacity_id):
from teamlandkarte_mcp.models import Capacity
return Capacity(
id=1,
owner_name="A",
role_name="Frontend Developer",
role_level=None,
begin_date=date(2025, 4, 1),
end_date=date(2025, 8, 31),
competences=["React", "TypeScript"],
)
monkeypatch.setattr(
mcp_mod,
"create_db_client",
lambda *_args, **_kwargs: _FakeDB(),
)
# Mock LLM chat_completion to avoid network calls.
monkeypatch.setattr(
"teamlandkarte_mcp.azure.openai_client.AzureOpenAIClient.chat_completion",
AsyncMock(return_value='{"similarity": 1.0}'),
)
srv = build_server(str(cfg))
res = await _call_tool(srv, "find_matching_tasks", {"capacity_id": 1})
assert "SEARCH_ID=" in res
search_id = res.split("SEARCH_ID=")[1].splitlines()[0].strip()
out = await _call_tool(
srv,
"filter_search_results",
{"search_id": search_id, "task_text_filter": "typescript"},
)
assert "Filtered total results: 1" in out
assert "T1" in out
assert "T2" not in out
out2 = await _call_tool(
srv,
"filter_search_results",
{"search_id": search_id, "task_competence_filter": ["python"]},
)
assert "Filtered total results: 1" in out2
assert "T2" in out2
page = await _call_tool(
srv,
"get_results_by_category",
{
"search_id": search_id,
"category": "Top",
"page": 1,
"page_size": 20,
},
)
assert "Total items in category:" in page
assert "task_id" in page