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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+from __future__ import annotations
+from typing import Any, cast
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from teamlandkarte_mcp.azure.openai_client import AzureAPIError, AzureOpenAIClient
+
+
+@pytest.mark.asyncio
+async def test_chat_completion_success():
+    client = AzureOpenAIClient(
+        endpoint="https://example.openai.azure.com",
+        api_version="2024-02-15-preview",
+        chat_deployment="gpt-4o",
+        llm_api_key="test-key",
+    )
+
+    # Mock the internal chat client
+    fake_choice = MagicMock()
+    fake_choice.message.content = '{"result": "ok"}'
+    fake_resp = MagicMock()
+    fake_resp.choices = [fake_choice]
+
+    fake_chat = MagicMock()
+    fake_chat.chat.completions.create = AsyncMock(return_value=fake_resp)
+    client._chat = cast(Any, fake_chat)
+
+    result = await client.chat_completion(system="sys", user="usr")
+    assert result == '{"result": "ok"}'
+
+
+@pytest.mark.asyncio
+async def test_chat_completion_retries_on_timeout():
+    client = AzureOpenAIClient(
+        endpoint="https://example.openai.azure.com",
+        api_version="2024-02-15-preview",
+        chat_deployment="gpt-4o",
+        llm_api_key="test-key",
+        max_retries=3,
+        timeout_s=0.01,
+    )
+
+    # First call times out, second succeeds
+    fake_choice = MagicMock()
+    fake_choice.message.content = '{"ok": true}'
+    fake_resp = MagicMock()
+    fake_resp.choices = [fake_choice]
+
+    call_count = 0
+
+    async def _fake_create(**kwargs):
+        nonlocal call_count
+        call_count += 1
+        if call_count == 1:
+            raise RuntimeError("transient error")
+        return fake_resp
+
+    fake_chat = MagicMock()
+    fake_chat.chat.completions.create = _fake_create
+    client._chat = cast(Any, fake_chat)
+
+    result = await client.chat_completion(system="sys", user="usr")
+    assert result == '{"ok": true}'
+    assert call_count == 2
+
+
+@pytest.mark.asyncio
+async def test_chat_completion_raises_after_all_retries():
+    client = AzureOpenAIClient(
+        endpoint="https://example.openai.azure.com",
+        api_version="2024-02-15-preview",
+        chat_deployment="gpt-4o",
+        llm_api_key="test-key",
+        max_retries=2,
+        timeout_s=0.01,
+    )
+
+    async def _always_fail(**kwargs):
+        raise RuntimeError("persistent error")
+
+    fake_chat = MagicMock()
+    fake_chat.chat.completions.create = _always_fail
+    client._chat = cast(Any, fake_chat)
+
+    with pytest.raises(AzureAPIError, match="persistent error"):
+        await client.chat_completion(system="sys", user="usr")