import json
import re
import pickle
import numpy as np

def get_image_qa(json_path):
    image_qa = dict()
    with open(json_path, 'r') as f:
        data = json.load(f)
        for item in data:
            image_qa['./' + item['image'][0]+ '_' +item['id']] = item
    return image_qa

def read_pkl_file(file_path):
    try:
        with open(file_path, 'rb') as file:
            data = pickle.load(file)
        return data
    except FileNotFoundError:
        print(f"错误：文件 '{file_path}' 不存在。")
    except pickle.UnpicklingError:
        print(f"错误：无法解析文件 '{file_path}'。可能不是有效的 Pickle 文件。")
    except Exception as e:
        print(f"读取文件时发生错误：{str(e)}")
    return None

file_path = 'nuscenes2d_ego_temporal_infos_val.pkl'
data = read_pkl_file(file_path)

pkl_info = dict()
for info in data['infos']:
    pkl_info[info['cams']['CAM_FRONT']['data_path']] = info
    
qa_pairs = get_image_qa('test_drivelm.json')

new_pkl = []
for qa in qa_pairs:
    match = re.match(r"(.*\.jpg)", qa)
    if match:
        result = match.group(1)
        pkl_info[result]['qa'] = qa_pairs[qa]
        new_pkl.append(pkl_info[result])
data['infos'] = new_pkl
with open('drivelm_test.pkl', 'wb') as file:
    pickle.dump(data, file)