from inline_snapshot import snapshot

from mirascope.llm import (
    AssistantMessage,
    Text,
    UserMessage,
)

test_snapshot = snapshot(
    {
        "response": {
            "provider_id": "openai",
            "model_id": "openai/gpt-4o:responses",
            "provider_model_name": "gpt-4o:responses",
            "params": {},
            "finish_reason": None,
            "usage": {
                "input_tokens": 78,
                "output_tokens": 7,
                "cache_read_tokens": 0,
                "cache_write_tokens": 0,
                "reasoning_tokens": 0,
                "provider_tool_usage": None,
                "raw": "ResponseUsage(input_tokens=78, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=7, output_tokens_details=OutputTokensDetails(reasoning_tokens=0), total_tokens=85)",
                "total_tokens": 85,
            },
            "messages": [
                UserMessage(
                    content=[Text(text="Choose a lucky number between 1 and 10")]
                ),
                AssistantMessage(
                    content=[Text(text='{"output": 7}')],
                    provider_id="google",
                    model_id="google/gemini-2.5-flash",
                    provider_model_name="gemini-2.5-flash",
                    raw_message={
                        "parts": [
                            {
                                "media_resolution": None,
                                "code_execution_result": None,
                                "executable_code": None,
                                "file_data": None,
                                "function_call": None,
                                "function_response": None,
                                "inline_data": None,
                                "text": '{"output": 7}',
                                "thought": None,
                                "thought_signature": None,
                                "video_metadata": None,
                            }
                        ],
                        "role": "model",
                    },
                ),
                UserMessage(
                    content=[Text(text="Ok, now choose a different lucky number")]
                ),
                AssistantMessage(
                    content=[Text(text='{"output": 3}')],
                    provider_id="openai",
                    model_id="openai/gpt-4o:responses",
                    provider_model_name="gpt-4o:responses",
                    raw_message=[
                        {
                            "id": "msg_032b21ff3bc04a1400698a5b4bcf308190ad2b3489d9edc2fb",
                            "content": [
                                {
                                    "annotations": [],
                                    "text": '{"output": 3}',
                                    "type": "output_text",
                                    "logprobs": [],
                                }
                            ],
                            "role": "assistant",
                            "status": "completed",
                            "type": "message",
                        }
                    ],
                ),
            ],
            "format": {
                "name": "int",
                "description": None,
                "schema": {
                    "description": "Wrapper for primitive type int",
                    "properties": {"output": {"title": "Output", "type": "integer"}},
                    "required": ["output"],
                    "title": "intOutput",
                    "type": "object",
                },
                "mode": "strict",
                "formatting_instructions": None,
            },
            "tools": [],
        }
    }
)
