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(metadata like "%Camp Nou%" or
metadata like "%Wembley%" or
metadata like "%Croke Park%" or
metadata like "%Twickenham%" or
metadata like "%Signal Iduna Park%" or
metadata like "%Stade de France%" or
metadata like "%Santiago Bernabéu%" or
metadata like "%Luzhniki%" or
metadata like "%San Siro%" or
metadata like "%Atatürk Olympic%" or

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def restart_elasticsearch():
    """
    Restart es from one place using this command
    Restart one node at a time, starting with master
    Wait till cluster is in yellow state before doing the next one
    Usage:
    fab restart_elasticsearch -H rad@search1.int.fanxchange.com
    """
    first_host = env.hosts[0]
    if '@' in first_host:

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#!/usr/bin/env python
"""
Broker API log parser

https://help.datadoghq.com/hc/en-us/articles/209064386-How-to-collect-metrics-or-events-with-a-Custom-Log-Parser

"""

import datetime
import re

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def orbital_mocker_api():
    request_data = request.data

    logging.debug("Orbital Mock API Request headers are: {}".format(request.headers))
    logging.info("Orbital Mock got {} Request: {}".format(request.method, request_data))

    data = ''  # Response value
    response_type = ''

    if '<Request><Profile>' in request_data:

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#!/bin/bash

DBUSER=tempuser
DBPASS=tempuser
DB_OLD=nightly_test
DB_NEW=nightly_ttest
DBHOST=db2.int.fanxchange.com #localhost

while [[ $# > 0 ]]
do

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@your_app.route('/maxmind_alert', methods=['GET'])
def post_maxmind_alert():
    """
    Get maxmind alerts
    https://www.maxmind.com/en/alert_url
    CARDER_EMAIL Email on order was flagged as high-risk email, as it was associated with another high-risk order
    HIGH_RISK_IP IP address has been marked as a high-risk IP
    HOSTING_PROVIDER IP is from High Risk Hosting Provider
    POSTAL_VELOCITY	IP address had high velocity of orders (e.g. different zipcodes on same IP address)
    UPDATED_INFORMATION	The transaction would be rated as higher risk based on updated information or analysis

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"""
Job can be run on mirror instance(s) to update local PyPi index
To use with S3, create ~/.boto or set BOTO_CONFIG when running:
[sudo] python update_pypi.py -r /tmp/requirements.txt
[sudo] BOTO_CONFIG=/etc/boto_pypi.cfg python update_pypi.py flask -b uat-pypi.bucket.name
"""
import json
import logging
import os
import uuid

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"""
Job can be run on mirror instance(s) to update local PyPi index
To use with S3, create ~/.boto or set BOTO_CONFIG when running:
[sudo] BOTO_CONFIG=/etc/boto_pypi.cfg python update_pypi.py flask -b your-pypi-s3-bucket
"""
import json
import logging
import os
import uuid
import datetime

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import json
import logging
import os
from argparse import ArgumentParser

import requests
import BeautifulSoup

# Local pypi index path
PYPI_PATH = '/centos/pypi/web'

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import base64
import json

import requests

FRAUD_SCORES = ('not_fraud', 'suspected_fraud', 'known_fraud')

def minfraud_submit_chargeback(license_key, user_id, chargeback_code, fraud_score, ip_address, transaction_id, force_prod=False):
    """
    Submit a chargeback request to minFrauds chargeback API