import json

with open('./data/models_info.json', 'r', encoding='utf-8') as file:
    models = json.load(file)
    
ner_models = []
for mdl in models:
    if mdl['model_name'].__contains__('ner') or mdl['model_name'].__contains__('Ner') or mdl['model_name'].__contains__('Ner'):
        ner_models.append(mdl)
        # [mdl['model_name']]= {
        #     "task": mdl['task'],
        #     "last_modified": mdl['last_modified'],
        #     "downloads": int(mdl['downloads']),
        #     "likes": mdl['likes'],
        #     "language": mdl['language']
        # }
sorted_ner_models = sorted(ner_models, key=lambda x: x["downloads"], reverse=True)      

with open('./data/models_ner_info.json', 'w', encoding='utf-8') as file:
    jsondata = json.dumps(sorted_ner_models, ensure_ascii=False, indent=2)
    file.write(jsondata)
    
ner_models_text = ''
for mdl in sorted_ner_models:
    ner_models_text += ''.join(f"{mdl['downloads']} -- {mdl['model_name']}\n")
    
with open('./data/models_ner_info.txt', 'w', encoding='utf-8') as file:
    file.write(ner_models_text)
    
print(len(ner_models))