import requests
import time
import csv


def take_1000_posts():
    token = 'b182981a358908827c5332f0785085c7cc1c535cf4b05e2fcec3ac9ebcfdf00d273a1895139329b70c75c'
    version = 5.103
    count = 100
    offset = 0
    all_posts = []
    response = requests.get('https://api.vk.com/method/users.get?',
                            params={
                                'access_token': token,
                                'v': version,
                                'user_ids': 552656501,
                                'fields': 'id, first_name, last_name, maiden_name, sex, about, activities, city, domain, \n'
                                          'career, city, connections, contacts, country, education, has_mobile,\n'
                                          'interests, military,occupation, personal, quotes,relatives, \n'
                                          'relation, schools, status, universities',
                            }
                            )
    data = response.json()['response']['items']
    for data_tek in data:
        id = data_tek['id']
        first_name = data_tek['first_name']
        last_name = data_tek ['last_name']
        maiden_name = data_tek['maiden_name']
        sex = data_tek['sex']
        about = data_tek['about']
        activities = data_tek['activities']
        city = data_tek['city']
        domain = data_tek['domain']
        career = data_tek['career']
        city = data_tek['city']
        connections = data_tek['connections']
        contacts = data_tek['contacts']
        country = data_tek['country']
        education = data_tek['education']
        has_mobile = data_tek['has_mobile']
        interests = data_tek['interests']
        military = data_tek['military']
        occupation = data_tek['occupation']
        personal = data_tek['personal']
        quotes = data_tek['quotes']
        relatives = data_tek['relatives']
        relation = data_tek['relation']
        schools = data_tek['schools']
        status = data_tek['status']
        universities = data_tek['universities']

    # time.sleep(0.5)

# zapis v exl
'''

def file_writer(data):
    with open ('fit4life.csv','w') as file:
        a_pen = csv.writer(file)
        a_pen.writerow(('likes', 'body', 'url'))
        for post in data:
            try:
                if post ['attachments'][0]['type']:
                    img_url = post['attachments'][0]['photo']['sizes'][-1]['url']
                else:
                    img_url = 'pass'
            except:
                pass
            a_pen.writerow((post['likes']['count'], post['text'], img_url))
file_writer(all_posts)

'''