import httpx
from unittest.mock import patch, PropertyMock

import pytest

moke_response = {
    "request_id": "9c18627f-ffce-9264-b441-e1f8967d5085",
    "final_result": {
        "object": "list",
        "data": [
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    },
}


@pytest.fixture
def sap_api_response():
    return moke_response


@pytest.fixture
def fake_token_creator():
    return lambda: "Bearer FAKE_TOKEN", "https://api.ai.moke-sap.com", "fake-group"


@pytest.fixture
def fake_deployment_url():
    return "https://api.ai.moke-sap.com/v2/inference/deployments/mokeid"


@pytest.mark.parametrize("sync_mode", [True, False])
@pytest.mark.asyncio
async def test_sap_chat(
    respx_mock,
    sap_api_response,
    fake_token_creator,
    fake_deployment_url,
    sync_mode,
):
    import litellm

    litellm.disable_aiohttp_transport = True
    with patch(
        "litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url",
        new_callable=PropertyMock,
        return_value=fake_deployment_url,
    ), patch(
        "litellm.llms.sap.embed.transformation.get_token_creator",
        return_value=fake_token_creator,
    ):
        model = "sap/text-embedding-3-small"
        input = "Hi"
        respx_mock.post(f"{fake_deployment_url}/v2/embeddings").respond(
            json=sap_api_response
        )

        if sync_mode:
            response = litellm.embedding(model=model, input=input)
        else:
            response = await litellm.aembedding(model=model, input=input)

        assert response
        assert response.data[0]["embedding"]


@pytest.mark.asyncio
async def test_sap_embedding_required_headers(
    respx_mock,
    sap_api_response,
    fake_token_creator,
    fake_deployment_url,
):
    """Test that required headers are correctly set in SAP embedding requests."""
    import litellm

    # Define required headers for SAP requests
    required_headers = {
        "Authorization": "Bearer FAKE_TOKEN",
        "AI-Resource-Group": "fake-group",
        "Content-Type": "application/json",
        "AI-Client-Type": "LiteLLM",
    }

    litellm.disable_aiohttp_transport = True
    with patch(
        "litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url",
        new_callable=PropertyMock,
        return_value=fake_deployment_url,
    ), patch(
        "litellm.llms.sap.embed.transformation.get_token_creator",
        return_value=fake_token_creator,
    ):
        model = "sap/text-embedding-3-small"
        input = "Hi"

        # Setup respx_mock to capture request
        route = respx_mock.post(f"{fake_deployment_url}/v2/embeddings")
        route.respond(json=sap_api_response)

        response = await litellm.aembedding(model=model, input=input)

        # Verify the response is valid
        assert response
        assert response.data[0]["embedding"]

        # Verify the request was made
        assert route.called

        # Get the request and verify all required headers are present
        request = route.calls[0].request
        for header_name, expected_value in required_headers.items():
            assert header_name in request.headers, (
                f"Required header '{header_name}' missing from request. "
                f"Found headers: {list(request.headers.keys())}"
            )
            assert request.headers[header_name] == expected_value, (
                f"Header '{header_name}' has incorrect value. "
                f"Expected: '{expected_value}', Got: '{request.headers[header_name]}'"
            )