Files
Gitcloned-CertBot/tests/letstest/multitester.py

588 lines
23 KiB
Python

"""
Certbot Integration Test Tool
- Configures (canned) boulder server
- Launches EC2 instances with a given list of AMIs for different distros
- Copies certbot repo and puts it on the instances
- Runs certbot tests (bash scripts) on all of these
- Logs execution and success/fail for debugging
Notes:
- Some AWS images, e.g. official CentOS and FreeBSD images
require acceptance of user terms on the AWS marketplace
website. This can't be automated.
- AWS EC2 has a default limit of 20 t2/t1 instances, if more
are needed, they need to be requested via online webform.
Usage:
- Requires AWS IAM secrets to be set up with aws cli
- Requires an AWS associated keyfile <keyname>.pem
>aws configure --profile HappyHacker
[interactive: enter secrets for IAM role]
>aws ec2 create-key-pair --profile HappyHacker --key-name MyKeyPair \
--query 'KeyMaterial' --output text > MyKeyPair.pem
then:
>python multitester.py targets.yaml MyKeyPair.pem HappyHacker scripts/test_letsencrypt_auto_venv_only.sh
see:
https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html
https://docs.aws.amazon.com/cli/latest/userguide/cli-ec2-keypairs.html
"""
from __future__ import print_function
from __future__ import with_statement
import sys, os, time, argparse, socket, traceback
import multiprocessing as mp
from multiprocessing import Manager
import urllib2
import yaml
import boto3
from botocore.exceptions import ClientError
import fabric
from fabric.api import run, execute, local, env, sudo, cd, lcd
from fabric.operations import get, put
from fabric.context_managers import shell_env
# Command line parser
#-------------------------------------------------------------------------------
parser = argparse.ArgumentParser(description='Builds EC2 cluster for testing.')
parser.add_argument('config_file',
help='yaml configuration file for AWS server cluster')
parser.add_argument('key_file',
help='key file (<keyname>.pem) for AWS')
parser.add_argument('aws_profile',
help='profile for AWS (i.e. as in ~/.aws/certificates)')
parser.add_argument('test_script',
default='test_letsencrypt_auto_certonly_standalone.sh',
help='path of bash script in to deploy and run')
#parser.add_argument('--script_args',
# nargs='+',
# help='space-delimited list of arguments to pass to the bash test script',
# required=False)
parser.add_argument('--repo',
default='https://github.com/letsencrypt/letsencrypt.git',
help='certbot git repo to use')
parser.add_argument('--branch',
default='~',
help='certbot git branch to trial')
parser.add_argument('--pull_request',
default='~',
help='letsencrypt/letsencrypt pull request to trial')
parser.add_argument('--merge_master',
action='store_true',
help="if set merges PR into master branch of letsencrypt/letsencrypt")
parser.add_argument('--saveinstances',
action='store_true',
help="don't kill EC2 instances after run, useful for debugging")
parser.add_argument('--alt_pip',
default='',
help="server from which to pull candidate release packages")
parser.add_argument('--killboulder',
action='store_true',
help="do not leave a persistent boulder server running")
parser.add_argument('--boulderonly',
action='store_true',
help="only make a boulder server")
parser.add_argument('--fast',
action='store_true',
help="use larger instance types to run faster (saves about a minute, probably not worth it)")
cl_args = parser.parse_args()
# Credential Variables
#-------------------------------------------------------------------------------
# assumes naming: <key_filename> = <keyname>.pem
KEYFILE = cl_args.key_file
KEYNAME = os.path.split(cl_args.key_file)[1].split('.pem')[0]
PROFILE = None if cl_args.aws_profile.lower() == 'none' else cl_args.aws_profile
# Globals
#-------------------------------------------------------------------------------
BOULDER_AMI = 'ami-072a9534772bec854' # premade shared boulder AMI 18.04LTS us-east-1
LOGDIR = "letest-%d"%int(time.time()) #points to logging / working directory
SECURITY_GROUP_NAME = 'certbot-security-group'
SENTINEL = None #queue kill signal
SUBNET_NAME = 'certbot-subnet'
class Status(object):
"""Possible statuses of client tests."""
PASS = 'pass'
FAIL = 'fail'
# Boto3/AWS automation functions
#-------------------------------------------------------------------------------
def should_use_subnet(subnet):
"""Should we use the given subnet for these tests?
We should if it is the default subnet for the availability zone or the
subnet is named "certbot-subnet".
"""
if not subnet.map_public_ip_on_launch:
return False
if subnet.default_for_az:
return True
for tag in subnet.tags:
if tag['Key'] == 'Name' and tag['Value'] == SUBNET_NAME:
return True
return False
def make_security_group(vpc):
"""Creates a security group in the given VPC."""
# will fail if security group of GroupName already exists
# cannot have duplicate SGs of the same name
mysg = vpc.create_security_group(GroupName=SECURITY_GROUP_NAME,
Description='security group for automated testing')
mysg.authorize_ingress(IpProtocol="tcp", CidrIp="0.0.0.0/0", FromPort=22, ToPort=22)
mysg.authorize_ingress(IpProtocol="tcp", CidrIp="0.0.0.0/0", FromPort=80, ToPort=80)
mysg.authorize_ingress(IpProtocol="tcp", CidrIp="0.0.0.0/0", FromPort=443, ToPort=443)
# for boulder wfe (http) server
mysg.authorize_ingress(IpProtocol="tcp", CidrIp="0.0.0.0/0", FromPort=4000, ToPort=4000)
# for mosh
mysg.authorize_ingress(IpProtocol="udp", CidrIp="0.0.0.0/0", FromPort=60000, ToPort=61000)
return mysg
def make_instance(ec2_client,
instance_name,
ami_id,
keyname,
security_group_id,
subnet_id,
machine_type='t2.micro',
userdata=""): #userdata contains bash or cloud-init script
block_device_mappings = _get_block_device_mappings(ec2_client, ami_id)
tags = [{'Key': 'Name', 'Value': instance_name}]
tag_spec = [{'ResourceType': 'instance', 'Tags': tags}]
return ec2_client.create_instances(
BlockDeviceMappings=block_device_mappings,
ImageId=ami_id,
SecurityGroupIds=[security_group_id],
SubnetId=subnet_id,
KeyName=keyname,
MinCount=1,
MaxCount=1,
UserData=userdata,
InstanceType=machine_type,
TagSpecifications=tag_spec)[0]
def _get_block_device_mappings(ec2_client, ami_id):
"""Returns the list of block device mappings to ensure cleanup.
This list sets connected EBS volumes to be deleted when the EC2
instance is terminated.
"""
# Not all devices use EBS, but the default value for DeleteOnTermination
# when the device does use EBS is true. See:
# * https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-ec2-blockdev-mapping.html
# * https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-ec2-blockdev-template.html
return [{'DeviceName': mapping['DeviceName'],
'Ebs': {'DeleteOnTermination': True}}
for mapping in ec2_client.Image(ami_id).block_device_mappings
if not mapping.get('Ebs', {}).get('DeleteOnTermination', True)]
# Helper Routines
#-------------------------------------------------------------------------------
def block_until_http_ready(urlstring, wait_time=10, timeout=240):
"Blocks until server at urlstring can respond to http requests"
server_ready = False
t_elapsed = 0
while not server_ready and t_elapsed < timeout:
try:
sys.stdout.write('.')
sys.stdout.flush()
req = urllib2.Request(urlstring)
response = urllib2.urlopen(req)
#if response.code == 200:
server_ready = True
except urllib2.URLError:
pass
time.sleep(wait_time)
t_elapsed += wait_time
def block_until_ssh_open(ipstring, wait_time=10, timeout=120):
"Blocks until server at ipstring has an open port 22"
reached = False
t_elapsed = 0
while not reached and t_elapsed < timeout:
try:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect((ipstring, 22))
reached = True
except socket.error as err:
time.sleep(wait_time)
t_elapsed += wait_time
sock.close()
def block_until_instance_ready(booting_instance, wait_time=5, extra_wait_time=20):
"Blocks booting_instance until AWS EC2 instance is ready to accept SSH connections"
state = booting_instance.state['Name']
ip = booting_instance.public_ip_address
while state != 'running' or ip is None:
time.sleep(wait_time)
# The instance needs to be reloaded to update its local attributes.
booting_instance.reload()
state = booting_instance.state['Name']
ip = booting_instance.public_ip_address
block_until_ssh_open(ip)
time.sleep(extra_wait_time)
return booting_instance
# Fabric Routines
#-------------------------------------------------------------------------------
def local_git_clone(repo_url):
"clones master of repo_url"
with lcd(LOGDIR):
local('if [ -d letsencrypt ]; then rm -rf letsencrypt; fi')
local('git clone %s letsencrypt'% repo_url)
local('tar czf le.tar.gz letsencrypt')
def local_git_branch(repo_url, branch_name):
"clones branch <branch_name> of repo_url"
with lcd(LOGDIR):
local('if [ -d letsencrypt ]; then rm -rf letsencrypt; fi')
local('git clone %s letsencrypt --branch %s --single-branch'%(repo_url, branch_name))
local('tar czf le.tar.gz letsencrypt')
def local_git_PR(repo_url, PRnumstr, merge_master=True):
"clones specified pull request from repo_url and optionally merges into master"
with lcd(LOGDIR):
local('if [ -d letsencrypt ]; then rm -rf letsencrypt; fi')
local('git clone %s letsencrypt'% repo_url)
local('cd letsencrypt && git fetch origin pull/%s/head:lePRtest'%PRnumstr)
local('cd letsencrypt && git checkout lePRtest')
if merge_master:
local('cd letsencrypt && git remote update origin')
local('cd letsencrypt && git merge origin/master -m "testmerge"')
local('tar czf le.tar.gz letsencrypt')
def local_repo_to_remote():
"copies local tarball of repo to remote"
with lcd(LOGDIR):
put(local_path='le.tar.gz', remote_path='')
run('tar xzf le.tar.gz')
def local_repo_clean():
"delete tarball"
with lcd(LOGDIR):
local('rm le.tar.gz')
def deploy_script(scriptpath, *args):
"copies to remote and executes local script"
#with lcd('scripts'):
put(local_path=scriptpath, remote_path='', mirror_local_mode=True)
scriptfile = os.path.split(scriptpath)[1]
args_str = ' '.join(args)
run('./'+scriptfile+' '+args_str)
def run_boulder():
with cd('$GOPATH/src/github.com/letsencrypt/boulder'):
run('sudo docker-compose up -d')
def config_and_launch_boulder(instance):
execute(deploy_script, 'scripts/boulder_config.sh')
execute(run_boulder)
def install_and_launch_certbot(instance, boulder_url, target):
execute(local_repo_to_remote)
with shell_env(BOULDER_URL=boulder_url,
PUBLIC_IP=instance.public_ip_address,
PRIVATE_IP=instance.private_ip_address,
PUBLIC_HOSTNAME=instance.public_dns_name,
PIP_EXTRA_INDEX_URL=cl_args.alt_pip,
OS_TYPE=target['type']):
execute(deploy_script, cl_args.test_script)
def grab_certbot_log():
"grabs letsencrypt.log via cat into logged stdout"
sudo('if [ -f /var/log/letsencrypt/letsencrypt.log ]; then \
cat /var/log/letsencrypt/letsencrypt.log; else echo "[novarlog]"; fi')
# fallback file if /var/log is unwriteable...? correct?
sudo('if [ -f ./certbot.log ]; then \
cat ./certbot.log; else echo "[nolocallog]"; fi')
def create_client_instance(ec2_client, target, security_group_id, subnet_id):
"""Create a single client instance for running tests."""
if target['virt'] == 'hvm':
machine_type = 't2.medium' if cl_args.fast else 't2.micro'
else:
# 32 bit systems
machine_type = 'c1.medium' if cl_args.fast else 't1.micro'
if 'userdata' in target.keys():
userdata = target['userdata']
else:
userdata = ''
name = 'le-%s'%target['name']
print(name, end=" ")
return make_instance(ec2_client,
name,
target['ami'],
KEYNAME,
machine_type=machine_type,
security_group_id=security_group_id,
subnet_id=subnet_id,
userdata=userdata)
def test_client_process(inqueue, outqueue, boulder_url):
cur_proc = mp.current_process()
for inreq in iter(inqueue.get, SENTINEL):
ii, instance_id, target = inreq
# Each client process is given its own session due to the suggestion at
# https://boto3.amazonaws.com/v1/documentation/api/latest/guide/resources.html?highlight=multithreading#multithreading-multiprocessing.
aws_session = boto3.session.Session(profile_name=PROFILE)
ec2_client = aws_session.resource('ec2')
instance = ec2_client.Instance(id=instance_id)
#save all stdout to log file
sys.stdout = open(LOGDIR+'/'+'%d_%s.log'%(ii,target['name']), 'w')
print("[%s : client %d %s %s]" % (cur_proc.name, ii, target['ami'], target['name']))
instance = block_until_instance_ready(instance)
print("server %s at %s"%(instance, instance.public_ip_address))
env.host_string = "%s@%s"%(target['user'], instance.public_ip_address)
print(env.host_string)
try:
install_and_launch_certbot(instance, boulder_url, target)
outqueue.put((ii, target, Status.PASS))
print("%s - %s SUCCESS"%(target['ami'], target['name']))
except:
outqueue.put((ii, target, Status.FAIL))
print("%s - %s FAIL"%(target['ami'], target['name']))
traceback.print_exc(file=sys.stdout)
pass
# append server certbot.log to each per-machine output log
print("\n\ncertbot.log\n" + "-"*80 + "\n")
try:
execute(grab_certbot_log)
except:
print("log fail\n")
traceback.print_exc(file=sys.stdout)
pass
def cleanup(cl_args, instances, targetlist):
print('Logs in ', LOGDIR)
# If lengths of instances and targetlist aren't equal, instances failed to
# start before running tests so leaving instances running for debugging
# isn't very useful. Let's cleanup after ourselves instead.
if len(instances) == len(targetlist) or not cl_args.saveinstances:
print('Terminating EC2 Instances')
if cl_args.killboulder:
boulder_server.terminate()
for instance in instances:
instance.terminate()
else:
# print login information for the boxes for debugging
for ii, target in enumerate(targetlist):
print(target['name'],
target['ami'],
"%s@%s"%(target['user'], instances[ii].public_ip_address))
def main():
# Fabric library controlled through global env parameters
env.key_filename = KEYFILE
env.shell = '/bin/bash -l -i -c'
env.connection_attempts = 5
env.timeout = 10
# replace default SystemExit thrown by fabric during trouble
class FabricException(Exception):
pass
env['abort_exception'] = FabricException
# Set up local copy of git repo
#-------------------------------------------------------------------------------
print("Making local dir for test repo and logs: %s"%LOGDIR)
local('mkdir %s'%LOGDIR)
# figure out what git object to test and locally create it in LOGDIR
print("Making local git repo")
try:
if cl_args.pull_request != '~':
print('Testing PR %s '%cl_args.pull_request,
"MERGING into master" if cl_args.merge_master else "")
execute(local_git_PR, cl_args.repo, cl_args.pull_request, cl_args.merge_master)
elif cl_args.branch != '~':
print('Testing branch %s of %s'%(cl_args.branch, cl_args.repo))
execute(local_git_branch, cl_args.repo, cl_args.branch)
else:
print('Testing master of %s'%cl_args.repo)
execute(local_git_clone, cl_args.repo)
except FabricException:
print("FAIL: trouble with git repo")
traceback.print_exc()
exit()
# Set up EC2 instances
#-------------------------------------------------------------------------------
configdata = yaml.load(open(cl_args.config_file, 'r'))
targetlist = configdata['targets']
print('Testing against these images: [%d total]'%len(targetlist))
for target in targetlist:
print(target['ami'], target['name'])
print("Connecting to EC2 using\n profile %s\n keyname %s\n keyfile %s"%(PROFILE, KEYNAME, KEYFILE))
aws_session = boto3.session.Session(profile_name=PROFILE)
ec2_client = aws_session.resource('ec2')
print("Determining Subnet")
for subnet in ec2_client.subnets.all():
if should_use_subnet(subnet):
subnet_id = subnet.id
vpc_id = subnet.vpc.id
break
else:
print("No usable subnet exists!")
print("Please create a VPC with a subnet named {0}".format(SUBNET_NAME))
print("that maps public IPv4 addresses to instances launched in the subnet.")
sys.exit(1)
print("Making Security Group")
vpc = ec2_client.Vpc(vpc_id)
sg_exists = False
for sg in vpc.security_groups.all():
if sg.group_name == SECURITY_GROUP_NAME:
security_group_id = sg.id
sg_exists = True
print(" %s already exists"%SECURITY_GROUP_NAME)
if not sg_exists:
security_group_id = make_security_group(vpc).id
time.sleep(30)
boulder_preexists = False
boulder_servers = ec2_client.instances.filter(Filters=[
{'Name': 'tag:Name', 'Values': ['le-boulderserver']},
{'Name': 'instance-state-name', 'Values': ['running']}])
boulder_server = next(iter(boulder_servers), None)
print("Requesting Instances...")
if boulder_server:
print("Found existing boulder server:", boulder_server)
boulder_preexists = True
else:
print("Can't find a boulder server, starting one...")
boulder_server = make_instance(ec2_client,
'le-boulderserver',
BOULDER_AMI,
KEYNAME,
machine_type='t2.micro',
#machine_type='t2.medium',
security_group_id=security_group_id,
subnet_id=subnet_id)
instances = []
try:
if not cl_args.boulderonly:
print("Creating instances: ", end="")
for target in targetlist:
instances.append(create_client_instance(ec2_client, target, security_group_id, subnet_id))
print()
# Configure and launch boulder server
#-------------------------------------------------------------------------------
print("Waiting on Boulder Server")
boulder_server = block_until_instance_ready(boulder_server)
print(" server %s"%boulder_server)
# env.host_string defines the ssh user and host for connection
env.host_string = "ubuntu@%s"%boulder_server.public_ip_address
print("Boulder Server at (SSH):", env.host_string)
if not boulder_preexists:
print("Configuring and Launching Boulder")
config_and_launch_boulder(boulder_server)
# blocking often unnecessary, but cheap EC2 VMs can get very slow
block_until_http_ready('http://%s:4000'%boulder_server.public_ip_address,
wait_time=10, timeout=500)
boulder_url = "http://%s:4000/directory"%boulder_server.private_ip_address
print("Boulder Server at (public ip): http://%s:4000/directory"%boulder_server.public_ip_address)
print("Boulder Server at (EC2 private ip): %s"%boulder_url)
if cl_args.boulderonly:
sys.exit(0)
# Install and launch client scripts in parallel
#-------------------------------------------------------------------------------
print("Uploading and running test script in parallel: %s"%cl_args.test_script)
print("Output routed to log files in %s"%LOGDIR)
# (Advice: always use Manager.Queue, never regular multiprocessing.Queue
# the latter has implementation flaws that deadlock it in some circumstances)
manager = Manager()
outqueue = manager.Queue()
inqueue = manager.Queue()
# launch as many processes as clients to test
num_processes = len(targetlist)
jobs = [] #keep a reference to current procs
# initiate process execution
for i in range(num_processes):
p = mp.Process(target=test_client_process, args=(inqueue, outqueue, boulder_url))
jobs.append(p)
p.daemon = True # kills subprocesses if parent is killed
p.start()
# fill up work queue
for ii, target in enumerate(targetlist):
inqueue.put((ii, instances[ii].id, target))
# add SENTINELs to end client processes
for i in range(num_processes):
inqueue.put(SENTINEL)
print('Waiting on client processes', end='')
for p in jobs:
while p.is_alive():
p.join(5 * 60)
# Regularly print output to keep Travis happy
print('.', end='')
sys.stdout.flush()
print()
# add SENTINEL to output queue
outqueue.put(SENTINEL)
# clean up
execute(local_repo_clean)
# print and save summary results
results_file = open(LOGDIR+'/results', 'w')
outputs = [outq for outq in iter(outqueue.get, SENTINEL)]
outputs.sort(key=lambda x: x[0])
failed = False
for outq in outputs:
ii, target, status = outq
if status == Status.FAIL:
failed = True
print('%d %s %s'%(ii, target['name'], status))
results_file.write('%d %s %s\n'%(ii, target['name'], status))
if len(outputs) != num_processes:
failed = True
failure_message = 'FAILURE: Some target machines failed to run and were not tested. ' +\
'Tests should be rerun.'
print(failure_message)
results_file.write(failure_message + '\n')
results_file.close()
if failed:
sys.exit(1)
finally:
cleanup(cl_args, instances, targetlist)
# kill any connections
fabric.network.disconnect_all()
if __name__ == '__main__':
main()