import cv2
import base64
import threading
import requests

prompt_words = {
    "phone" : "1",
    "fall"  : "2",
    "fire"  : "3"
}

def cv2_to_base64(image):
    image1 = cv2.imencode('.jpg', image)[1]
    image_code = str(base64.b64encode(image1))[2:-1]
    return image_code


def get_cut_position(boxes, w, h):
    xmin, ymin, xmax, ymax = w, h, 0, 0
    if len(boxes) == 1:
        xmin, ymin, xmax, ymax = boxes[0]
        box_w = xmax - xmin
        box_h = ymax - ymin
        xmin = max(0, xmin - box_w // 5)
        ymin = max(0, ymin - box_h // 5)
        xmax = min(w, xmax + box_w // 5)
        ymax = max(h, ymax + box_h // 5)
    else:
        for box in boxes:
            x1, y1, x2, y2 = box
            xmin = min(x1, xmin)
            ymin = min(y1, ymin)
            xmax = max(xmax, x2)
            ymax = max(ymax, y2)
        box_w = xmax - xmin
        box_h = ymax - ymin
        xmin = max(0, xmin - box_w // 2)
        ymin = max(0, ymin - box_h // 2)
        xmax = min(w, xmax + box_w // 2)
        ymax = max(h, ymax + box_h // 2)
    return xmin, ymin, xmax, ymax

def post_illegal_data():
    pass

def task(boxes, image, task_name, llm_url):
    """
    boxes : 违章框的列表 [[x1,y1,x2,y2], ...]
    image : 图片的opencv格式
    task_name : 任务名称 phone : 打电话, fall : 摔倒, fire : 烟雾火焰
    """
    h, w, _ = image.shape
    xmin, ymin, xmax, ymax = get_cut_position(boxes, w, h)

    crop_image = image[ymin:ymax, xmin:xmax]
    crop_image_base64 = cv2_to_base64(crop_image)
    prompt_word = prompt_words[task_name]
    
    data = {
        "imageData" : crop_image_base64,
        "text" : prompt_word
    }
    try:
        response = requests.post(llm_url, json=data)
    except Exception as error:
        print(error)
        return
    res = response.json()

    if res["data"]["illegal"] == 1:
        post_illegal_data()


def create_llm_task(boxes, image, task_name, llm_url):
    llm_thread = threading.Thread(target=task, args=(boxes, image, task_name, llm_url), daemon=True)
    llm_thread.start()