"""
算法结果回放

"""
import json
import math
import matplotlib.pyplot as plt
import input.make_map as mp
from utils import drawcar as tools, reeds_shepp as rs
from input import make_car
import numpy as np
import imageio

def replay(map_scene,output_result):
    picture_scene =  map_scene.replace('/', '/').replace('.json', '.jpg')
    gif_scene =  map_scene.replace('input', 'image_save').replace('.json', '.gif')
    if output_result[-6].isdigit():
        Num =output_result.rsplit('/result_', 1)[-1].rsplit('.', 1)[0]
        if Num[-2].isdigit():
            gif_scene = gif_scene.replace('.gif', f'{Num[-3:]}.gif')
            
        else:
            gif_scene = gif_scene.replace('.gif', f'{Num[-2:]}.gif')  
    C = make_car.C
    ox, oy,sp,gp = mp.make_map(map_scene)
    sx, sy, syaw0 = sp['x'], sp['y'], sp['yaw']
    gx, gy, gyaw0 = gp['3']['x_end'], gp['3']['y_end'], gp['3']['yaw']
    with open(output_result,'r',encoding='UTF-8') as f:
        result=json.load(f)
    x = result['output_x']
    y = result['output_y']
    yaw = result['output_yaw']
    direction = result['output_dir']
    plt.rcParams['xtick.direction'] = 'in'
    picture = plt.imread(picture_scene)
    ox1,ox2,oy1,oy2 = min(ox), max(ox), min(oy), max(oy)
    frames = []  # 用于保存每一帧图像
    for k in range(len(x)):
        if k % 3 == 0:
            fig, ax = plt.subplots()
            ax.imshow(picture, extent=[ox1, ox2, oy1, oy2], aspect='auto') 
            ax.lines.clear()
            ax.plot(x, y, linewidth=0.5, color='b', linestyle='--')
            # ax.plot(ox, oy, ",k")
            if k < len(x) - 2:
                dy = (yaw[k + 1] - yaw[k]) / C.MOVE_STEP
                steer = rs.pi_2_pi(math.atan(-C.WB * dy / direction[k]))
            else:
                steer = 0.0
            tools.draw_car(ax, gx, gy, gyaw0, 0.0, 'dimgray')
            tools.draw_car(ax, x[k], y[k], yaw[k], steer)
            ax.set_title("Simulation Result", loc='left', fontweight="heavy")
            ax.axis("equal")    
            # 保存当前帧图像
            fig.canvas.draw()
            image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')
            image = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))
            frames.append(image)
            plt.show()
    # 将所有保存的帧图像整合成 GIF 动态图
    imageio.mimsave(gif_scene, frames, fps=15)
    if output_result[-6].isdigit():
        if Num[-2].isdigit():
            print(f"车位{Num[-2:]}仿真完成")
        else:
            print(f"车位{Num[-1]}仿真完成")
    else:
        print("仿真结束!")

# def replay(map_scene, output_result):
#     picture_scene = map_scene.replace('/', '/').replace('.json', '.jpg')
#     gif_scene = map_scene.replace('input', 'image_save').replace('.json', '.gif')
#     if output_result[-6].isdigit():
#         Num = output_result.rsplit('/result_', 1)[-1].rsplit('.', 1)[0]
#         if Num[-2].isdigit():
#             gif_scene = gif_scene.replace('.gif', f'{Num[-3:]}.gif')
#         else:
#             gif_scene = gif_scene.replace('.gif', f'{Num[-2:]}.gif')  
#     C = make_car.C
#     ox, oy, sp, gp = mp.make_map(map_scene)
#     sx, sy, syaw0 = sp['x'], sp['y'], sp['yaw']
#     gx, gy, gyaw0 = gp['3']['x_end'], gp['3']['y_end'], gp['3']['yaw']
#     with open(output_result, 'r', encoding='UTF-8') as f:
#         result = json.load(f)
#     x = result['output_x']
#     y = result['output_y']
#     yaw = result['output_yaw']
#     direction = result['output_dir']
#     plt.rcParams['xtick.direction'] = 'in'
#     picture = plt.imread(picture_scene)
#     ox1, ox2, oy1, oy2 = min(ox), max(ox), min(oy), max(oy)
#     frames = []  # 用于保存每一帧图像
#     for k in range(len(x)):
#         if k % 3 == 0:
#             fig, ax = plt.subplots()
#             ax.imshow(picture, extent=[ox1, ox2, oy1, oy2], aspect='auto')
#             while ax.lines:
#                 ax.lines[0].remove()
#             ax.plot(x, y, linewidth=0.5, color='b', linestyle='--')
#             if k < len(x) - 2:
#                 dy = (yaw[k + 1] - yaw[k]) / C.MOVE_STEP
#                 steer = rs.pi_2_pi(math.atan(-C.WB * dy / direction[k]))
#             else:
#                 steer = 0.0
#             tools.draw_car(ax, gx, gy, gyaw0, 0.0, 'dimgray')
#             tools.draw_car(ax, x[k], y[k], yaw[k], steer)
#             ax.set_title("Simulation Result", loc='left', fontweight="heavy")
#             ax.axis("equal")
#             # 保存当前帧图像
#             fig.canvas.draw()
#             image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')
#             image = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))
#             frames.append(image)
#             plt.close(fig)  # 关闭当前图像以避免超过限制
#     # 将所有保存的帧图像整合成 GIF 动态图
#     imageio.mimsave(gif_scene, frames, fps=15)
#     if output_result[-6].isdigit():
#         if Num[-2].isdigit():
#             print(f"车位{Num[-2:]}仿真完成")
#         else:
#             print(f"车位{Num[-1]}仿真完成")
#     else:
#         print("仿真结束!")