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