radzhome

(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

radzhome

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 [email protected]
    """
    first_host = env.hosts[0]
    if '@' in first_host:

radzhome

#!/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

radzhome

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:

radzhome

#!/bin/bash

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

while [[ $# > 0 ]]
do

radzhome

@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

radzhome

"""
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

radzhome

"""
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

radzhome

import json
import logging
import os
from argparse import ArgumentParser

import requests
import BeautifulSoup

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

radzhome

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