JacobCallahan

"""Purpose of the script goes here.

Example usage for the script goes here.
    python this_script.py <args>
"""
import os
import sys
import urllib2
import wget

JacobCallahan

#!/usr/bin/bash
# Create and populate a repository.
set -euo pipefail

# hammer auth login -u admin -p changeme
hammer -u admin -p changeme product create --name repotest --organization-id 1
hammer -u admin -p changeme repository create \
    --content-type 'yum' \
    --url 'https://repos.fedorapeople.org/pulp/pulp/fixtures/rpm-signed/' \
    --download-policy 'on_demand' \

JacobCallahan

import os
import asyncio
import sys

try:
    import bugzilla
except ImportError:
    print('Install dependencies with `pip install -r -requirements.txt`.')
    sys.exit(-1)

JacobCallahan

"""Simple Config - Config.... Simplified!"""

import json
import os
import yaml
from pathlib import Path
from logzero import logger


class SimpleConfig:

JacobCallahan

For this, we will be using the python-bugzilla module

    pip install python-bugzilla

This provides 'bugzilla' command, which is the interface we'll be using.
bugzilla has a "modify" sub command which allows us to update a bug via the CLI.
The most important piece of this is to pass the following argument, which surpresses email updates.

   --field=minor_update=1
    

JacobCallahan

import random

class MyBase:
    """This is a base class"""

    def __init__(self, **kwargs):
        """Assign each key, value pair to our class instance"""
        for arg, val in kwargs.items():
            self.__dict__[arg] = val

JacobCallahan

# generators and iterators
import random

def my_gen(in_str="This is a sentence."):
    """A generator that returns on character in a string per iteration"""
    for char in in_str:
        yield char  # return one character and wait

def big_list():
    """Create a list of number from 0 to 100 million"""

JacobCallahan

"""
Decorators provide a way to intercept a decorated function, method, or class.
Ultimately, the decorator accepts the function as its only argument
Decorators can then either return the original function, or another one
"""


def change_name(func):
    """This decorator just changes the name of any decorated function"""
    func.__name__ = "changed"

JacobCallahan

"""Pytest fixtures
Fixtures give you a convenient way to perform setup actions outside of a test.
By limiting or expanding the scope of a fixture, you can cut down on costly setup tasks.
"""
import pytest
import random
import unittest2  # please never


NUM = "0123456789"

JacobCallahan

import aiohttp
import asyncio
import async_timeout
import click
from logzero import logger
from pathlib import path


class AsyncRunner:
    """A general class to perform async requests and process data"""