from io import BytesIO
from time import sleep

from smolagents.utils import encode_image_base64, make_image_url
from smolagents import OpenAIServerModel, CodeAgent
from smolagents.agents import ActionStep
import helium
from PIL import Image


def check_reasoning_and_plot(
        final_answer,
        agent_memory,
        map_image_path: str = "src/party_planner/saved_map.png"
) -> bool:
    final_answer
    multimodal_model = OpenAIServerModel("gpt-4o", max_tokens=2048)
    image = Image.open(map_image_path)
    prompt = (
        f"Here is a user-given task and the agent steps: {agent_memory.get_succinct_steps()}. Now here is the plot that was made."
        "Please check that the reasoning process and plot are correct: do they correctly answer the given task?"
        "First list reasons why yes/no, then write your final decision: PASS in caps lock if it is satisfactory, FAIL if it is not."
        "Don't be harsh: if the plot mostly solves the task, it should pass."
        "To pass, a plot should be made using px.scatter_map and not any other method (scatter_map looks nicer)."
    )
    messages = [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": prompt,
                },
                {
                    "type": "image_url",
                    "image_url": {"url": make_image_url(encode_image_base64(image))},
                },
            ],
        }
    ]
    output = multimodal_model(messages).content
    print("Feedback: ", output)
    if "FAIL" in output:
        raise Exception(output)
    return True


def save_screenshot(memory_step: ActionStep, agent: CodeAgent) -> None:
    sleep(1.0)  # Let JavaScript animations happen before taking the screenshot
    driver = helium.get_driver()
    current_step = memory_step.step_number
    if driver is not None:
        for previous_memory_step in agent.memory.steps:  # Remove previous screenshots from logs for lean processing
            if isinstance(previous_memory_step, ActionStep) and previous_memory_step.step_number <= current_step - 2:
                previous_memory_step.observations_images = None
        png_bytes = driver.get_screenshot_as_png()
        image = Image.open(BytesIO(png_bytes))
        print(f"Captured a browser screenshot: {image.size} pixels")
        memory_step.observations_images = [image.copy()]  # Create a copy to ensure it persists, important!

    # Update observations with current URL
    url_info = f"Current url: {driver.current_url}"
    memory_step.observations = (
        url_info if memory_step.observations is None else memory_step.observations + "\n" + url_info
    )
    return