Files
Orchestrator/bahn/teamlandkarte-mcp/tests/test_integration_azure_openai.py
T
ankn a5f8fb49ab Migrate all repos into monorepo context folders
Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
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pulls them in via subtree, the originals are untouched.
2026-06-30 20:39:52 +02:00

45 lines
1.5 KiB
Python

import os
import pytest
from teamlandkarte_mcp.azure.openai_client import AzureOpenAIClient
from teamlandkarte_mcp.config import load_config
# Allow these smoke tests to access the real Azure OpenAI endpoint when the
# required env/config is present.
pytestmark = [pytest.mark.integration, pytest.mark.allow_network]
@pytest.mark.asyncio
async def test_azure_openai_chat_completion_smoke() -> None:
"""Smoke test against a real Azure OpenAI resource (chat completion)."""
cfg = load_config("config.toml")
endpoint = (cfg.azure_openai.endpoint or "").strip()
llm_key = os.getenv("AZURE_OPENAI_LLM_API_KEY", "").strip()
if not endpoint:
pytest.skip("Azure OpenAI endpoint missing in config.toml")
if "YOUR-RESOURCE" in endpoint.upper():
pytest.skip("Azure OpenAI endpoint in config.toml is still a placeholder")
if not endpoint.startswith("https://"):
pytest.skip("Azure OpenAI endpoint must start with https://")
if not llm_key:
pytest.skip("AZURE_OPENAI_LLM_API_KEY is not set")
if not cfg.azure_openai.chat_deployment:
pytest.skip("chat_deployment not configured")
client = AzureOpenAIClient(
endpoint=endpoint,
api_version=cfg.azure_openai.api_version,
chat_deployment=cfg.azure_openai.chat_deployment,
llm_api_key=llm_key,
)
result = await client.chat_completion(
system="You are a test assistant. Respond with JSON: {\"status\": \"ok\"}",
user="ping",
)
assert isinstance(result, str)
assert "ok" in result