#!/usr/bin/env python3
"""Filter JSON data based on the last_analysis_date.

Usage:
    filter_json.py --months=<n>

Options:
    --months=<n>   Show only projects with last_analysis_date less than n months ago.
"""
import os
import json
import configparser
import requests
import datetime
from docopt import docopt


def filter_data(data, months):
    filtered_data = []
    for item in data:
        date_str = item['last_analysis_date']
        date_obj = datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S%z')
        months_diff = (datetime.datetime.now(date_obj.tzinfo) - date_obj) // datetime.timedelta(days=30)
        if months_diff > months:
            filtered_data.append(item)
    return filtered_data


if __name__ == '__main__':
    # parse the command line arguments using docopt
    args = docopt(__doc__)
    sq_ini = os.path.expanduser('~/.config/sonarqube.ini')

    if not os.path.isfile(sq_ini):
        print(f'''
Config file not found
Please create the config file {sq_ini}
with the following content:

[sq]
token = <your token>

You can generate a token in SonarQube under My Account > Security
''')
        os.sys.exit(1)

    config = configparser.RawConfigParser()
    config.read(sq_ini)
    sq_token = config.get('sq', 'token')

    session = requests.Session()
    session.auth = (sq_token, '')
    req = session.get(
        'https://sonarqube.software.geant.org/api/projects/search')

    if req.status_code == 401:
        print('Error: Invalid token')
        os.sys.exit(1)

    if req.status_code != 200:
        print(f'Error: HTTP status code is {req.status_code}')
        os.sys.exit(1)

    proj_list = req.json()['components']
    final_list = []

    for project in proj_list:
        if 'lastAnalysisDate' in project:
            final_list.append({
                'project_name': project['name'],
                'last_analysis_date': project['lastAnalysisDate']
            })
        else:
            final_list.append({
                'project_name': project['name'],
                'last_analysis_date': '1970-01-01T01:00:00+0200'
            })

    months = int(args['--months'])
    # filter the data based on the last_analysis_date
    filtered_list = filter_data(final_list, int(months))

    sorted_projects = sorted(
        filtered_list, key=lambda d: d['last_analysis_date']
    )
    pretty = json.dumps(sorted_projects, indent=4)

    print(pretty)

    print('')
    print(f'Number of projects: {len(sorted_projects)}')
    print(
        f'This is a list of projects that have not been analyzed in the last {months} months.')
    print('')