import json
import os
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image


num_objects = 0
num_frames = 0
num_masks = 0
category_item = []
json_path = "/Users/gongsitong/Desktop/dataset_processing/Ref_LVOS/video_exp.json"
json_dict = json.load(open(json_path, 'r'))["videos"]
# category_list = json.load(open("/[REDACTED_PHONE]/RefLVOS/category.json", "r"))["category"]
# category_dict = dict()

# for category in category_list:
#     category_dict[category] = 0
    
category_list = []
word_number = []
num_objects = 0
for video_name, video_dict in json_dict.items():
    new_obj_id = -1
    num_frames += len(video_dict["frames"])
    for exp_id, exp_dict in video_dict["expressions"].items():
        if type(exp_dict["category"]) != list:
            category_list.append(exp_dict["category"])
        word_number.append(len(exp_dict["human_exp"].strip().split()))
        
        for obj_id in exp_dict["obj_id"]:
            if int(obj_id) != new_obj_id:
                new_obj_id = int(obj_id)
                num_objects += 1
    num_masks += len(video_dict["frames"]) * (new_obj_id + 1)
        
print("the categories: ", set(category_list))
print("total number of objects: ", num_objects)
print("mean word number of references", sum(word_number) / len(word_number))
print("num masks", num_masks)

    #     for obj_id in exp_dict["obj_id"]:
    #         if int(obj_id) != new_obj_id:
    #             new_obj_id = int(obj_id)
    #             num_objects += 1
    # num_masks += len(video_dict["frames"]) * (new_obj_id + 1)
# print(num_objects)
# print(num_frames)
# print(num_masks)

meta_video_dict = dict()
vid_id = 0
new_video_dict = dict()
for video_name, video_dict in json_dict.items():
    new_exp_dict = dict()
    for exp_id, exp_dict in video_dict["expressions"].items():
        new_exp_dict[exp_id] = {"exp": exp_dict["human_exp"],
                                "obj_id": exp_dict["obj_id"],
                                "category": exp_dict["category"]}
    new_video_dict[video_name] = {"expressions": new_exp_dict,
                                  "vid_id": vid_id,
                                  "height": video_dict["height"],
                                  "width": video_dict["width"],
                                  "frames": video_dict["frames"]}
output_dict = {"videos": new_video_dict}
output_path = "/Users/gongsitong/Desktop/dataset_processing/Ref_LVOS/final_meta_expressions.json"
with open(output_path, 'w') as f:
    json_string = json.dumps(output_dict, indent=4)
    f.write(json_string)