"""
Unit tests for DashScope configuration.

These tests validate the DashScopeConfig class which extends OpenAIGPTConfig.
DashScope is an OpenAI-compatible provider with minor customizations.
"""

import os
import sys

sys.path.insert(
    0, os.path.abspath("../../../../..")
)  # Adds the parent directory to the system path

from litellm.types.llms.openai import AllMessageValues
import pytest

import litellm
from litellm import completion
from litellm.llms.dashscope.chat.transformation import DashScopeChatConfig


class TestDashScopeConfig:
    """Test class for DashScope functionality"""

    def test_default_api_base(self):
        """Test that default API base is used when none is provided"""
        config = DashScopeChatConfig()
        headers = {}
        api_key = "fake-dashscope-key"

        # Call validate_environment without specifying api_base
        result = config.validate_environment(
            headers=headers,
            model="qwen-turbo",
            messages=[{"role": "user", "content": "Hey"}],
            optional_params={},
            litellm_params={},
            api_key=api_key,
            api_base=None,  # Not providing api_base
        )

        # Verify headers are still set correctly
        assert result["Authorization"] == f"Bearer {api_key}"
        assert result["Content-Type"] == "application/json"

        # We can't directly test the api_base value here since validate_environment
        # only returns the headers, but we can verify it doesn't raise an exception
        # which would happen if api_base handling was incorrect

    @pytest.mark.respx()
    def test_dashscope_completion_mock(self, respx_mock):
        """
        Mock test for Dashscope completion using the model format from docs.
        This test mocks the actual HTTP request to test the integration properly.
        """

        litellm.disable_aiohttp_transport = (
            True  # since this uses respx, we need to set use_aiohttp_transport to False
        )

        # Set up environment variables for the test
        api_key = "fake-dashscope-key"
        api_base = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
        model = "dashscope/qwen-turbo"
        model_name = "qwen-turbo"  # The actual model name without provider prefix

        # Mock the HTTP request to the dashscope API
        respx_mock.post(f"{api_base}/chat/completions").respond(
            json={
                "id": "chatcmpl-123",
                "object": "chat.completion",
                "created": 1677652288,
                "model": model_name,
                "choices": [
                    {
                        "index": 0,
                        "message": {
                            "role": "assistant",
                            "content": '```python\nprint("Hey from LiteLLM!")\n```\n\nThis simple Python code prints a greeting message from LiteLLM.',
                        },
                        "finish_reason": "stop",
                    }
                ],
                "usage": {
                    "prompt_tokens": 9,
                    "completion_tokens": 12,
                    "total_tokens": 21,
                },
            },
            status_code=200,
        )

        # Make the actual API call through LiteLLM
        response = completion(
            model=model,
            messages=[
                {"role": "user", "content": "write code for saying hey from LiteLLM"}
            ],
            api_key=api_key,
            api_base=api_base,
        )

        # Verify response structure
        assert response is not None
        assert hasattr(response, "choices")
        assert len(response.choices) > 0
        assert hasattr(response.choices[0], "message")
        assert hasattr(response.choices[0].message, "content")
        assert response.choices[0].message.content is not None

        # Check for specific content in the response
        assert "```python" in response.choices[0].message.content
        assert "Hey from LiteLLM" in response.choices[0].message.content

    def test_dashscope_no_longer_transforms_content_list(self):
        """
        Test that DashScopeChatConfig does not transform content lists to strings.
        This ensures that the transformation logic specific to content lists is not applied,
        as DashScope should handle content in list format natively.
        """
        config = DashScopeChatConfig()

        # Create a message with content in list format
        messages: list[AllMessageValues] = [
            {
                "role": "user",
                "content": [
                    {"type": "text", "text": "Hello"},
                    {"type": "text", "text": "World"},
                ],
            }
        ]

        # Call the _transform_messages method directly
        transformed_messages = config._transform_messages(
            messages=messages, model="qwen-turbo", is_async=False
        )

        # Verify that the content is still in list format and has not been transformed to a string
        assert isinstance(transformed_messages[0]["content"], list)
        assert len(transformed_messages[0]["content"]) == 2
        assert transformed_messages[0]["content"][0]["type"] == "text"
        assert transformed_messages[0]["content"][0]["text"] == "Hello"
        assert transformed_messages[0]["content"][1]["type"] == "text"
        assert transformed_messages[0]["content"][1]["text"] == "World"