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# -*- coding: utf-8 -*-

# Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2021 All Rights Reserved
#
# Licensed under CLOUD LINUX LICENSE AGREEMENT
# http://cloudlinux.com/docs/LICENSE.TXT

import json
import logging
import dataclasses
from typing import Any, Optional, Union
from xray.apiclient import get_client
from .models.analytics_data import AnalyticsData
from xray.internal.utils import read_sys_id

def report_analytics(data: str,
                     advice_id: Optional[Union[str, int]],
                     source: str,
                     event: Optional[str] = None,
                     feature: Optional[str] = None,
                     variant_id: Optional[str] = None) -> Any:
    """
    Receives analytics data as a JSON string
    """
    logger = logging.getLogger('analytics')
    logger.info('Prepare analytics report: '
                'data: "%s", '
                'advice_id: "%s", '
                'source: "%s", '
                'event: "%s", '
                'feature: "%s"',
                str(data), str(advice_id), str(source), str(event), str(feature))

    if data is None:
        return

    data = _parse(data, logger)
    if not data:
        return

    # if advice_id passed -> add it to analytics report
    if advice_id:
        advice_id = _filter_advice(advice_id)
        if not advice_id:
            return
        data['advice_id'] = str(advice_id)

    try:
        system_id = read_sys_id()
    except Exception:
        logger.exception('Cannot obtain system_id for analytics report')
        system_id = None
    data['system_id'] = system_id

    if feature:
        data['feature'] = feature
    if variant_id:
        data['variant_id'] = variant_id

    if 'source' not in data:
        data['source'] = source
    if source == 'WORDPRESS_PLUGIN':
        data['source'] = 'wp_smartadvice'
    if event is not None:
        data['event'] = event
    validated_data = _validate(data, logger)
    if validated_data is not None:
        api_client_object = get_client('adviser')
        client = api_client_object()
        return client.report(validated_data)


def _parse(data: str, logger: logging.Logger) -> Optional[dict]:
    """
    Trying to parse receiving JSON
    """
    try:
        v = json.loads(data)
    except ValueError as e:
        logger.error('[Analytics] Decoding analytics JSON has failed',
                            extra={'err': str(e)})
    else:
        return v


def _validate(data: dict, logger: logging.Logger) -> Optional[dict]:
    """
    Validates data.
    """
    try:
        validated_data = AnalyticsData(**data)
    except TypeError as e:
        logger.error('[Analytics] Not supported field detected',
                            extra={'err': str(e)})
    else:
        return dataclasses.asdict(validated_data)


def _filter_advice(advice_ids: Union[str, int]) -> Union[str, int]:
    """
    Remove IM360 advisements from the list
    """
    if advice_ids.isnumeric():
        return advice_ids
    advice_dict = advice_ids.split(',')
    advice_dict = filter(lambda id: not id.startswith('IM360'), advice_dict)
    return ','.join(advice_dict)