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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)
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