zuul/gcp-authdaemon
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James E. Blair 2020-02-12 09:37:10 -08:00
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53
.zuul.yaml Normal file
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# Image building jobs
- secret:
name: gcp-authdaemon-dockerhub
data:
username: zuulzuul
password: !encrypted/pkcs1-oaep
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c8y81M5qEpjJn7pmJ0WsGH+g8oH+jdVKTNS70ZRsaQQijaDigNMb56CbQIc+xc=
- job:
name: gcp-authdaemon-build-image
parent: opendev-build-docker-image
vars: &gcp_authdaemon_image_vars
docker_images:
- context: .
repository: zuul/gcp-authdaemon
- job:
name: gcp-authdaemon-upload-image
parent: opendev-upload-docker-image
vars: *gcp_authdaemon_image_vars
secrets:
name: docker_credentials
secret: gcp-authdaemon-dockerhub
pass-to-parent: true
- job:
name: gcp-authdaemon-promote-image
parent: opendev-promote-docker-image
vars: *gcp_authdaemon_image_vars
secrets:
name: docker_credentials
secret: gcp-authdaemon-dockerhub
pass-to-parent: true
- project:
check:
jobs:
- gcp-authdaemon-build-image
gate:
jobs:
- gcp-authdaemon-upload-image
promote:
jobs:
- gcp-authdaemon-promote-image

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Dockerfile Normal file
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FROM docker.io/opendevorg/python-base
COPY authdaemon.py /
ENTRYPOINT ["/authdaemon.py"]
CMD ["/authdaemon/token"]

202
LICENSE Normal file
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18
README Normal file
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An authorization daemon for Google Cloud.
This repo builds a container image which runs a special-purpose
authorization daemon. It is intended to be run in Google Cloud
(particularly in Google Kubernetes Engine). The daemon periodically
fetches a bearer token from the Google Cloud metadata service and
writes it to a location on disk.
Running Zuul in GKE with access to service account credentials can be
complicated because the executor does not limit access to the URLs
from which they are fetched. This means that, without a solution such
as this, even untrusted jobs may be able to access these credentials.
However, with this daemon, Zuul may be configured to run in GKE with
Workload Identity enabled so that the executor does not have access to
service account credentials. This daemon may be run with access to
credentials and will fetch them write them to a shared volume that may
then be exposed by the executor to trusted (but not untrusted) jobs.

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authdaemon.py Executable file
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#!/usr/bin/env python
# Copyright (C) 2012 Google Inc.
# Copyright (C) 2019 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Background daemon to refresh OAuth access tokens.
Tokens are written to the pathname supplied.
Runs only on Google Compute Engine (GCE).
"""
from __future__ import print_function
import atexit
import contextlib
import json
import os
import platform
import subprocess
import sys
import time
import urllib.request
import urllib.error
REFRESH = 25 # seconds remaining when starting refresh
RETRY_INTERVAL = 5 # seconds between retrying a failed refresh
META_URL = 'http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/'
SUPPORTED_SCOPES = [
'https://www.googleapis.com/auth/cloud-platform',
]
def read_meta(part):
r = urllib.request.Request(META_URL + part)
r.add_header('Metadata-Flavor', 'Google')
return contextlib.closing(urllib.request.urlopen(r))
def select_scope():
with read_meta('scopes') as d:
data = d.read().decode('utf8')
avail = set(data.split())
scopes = [s for s in SUPPORTED_SCOPES if s in avail]
if scopes:
return scopes[0]
sys.stderr.write('error: VM must have one of these scopes:\n\n')
for s in SUPPORTED_SCOPES:
sys.stderr.write(' %s\n' % (s))
sys.exit(1)
def acquire_token(scope, retry):
while True:
try:
with read_meta('token?scopes=' + scope) as d:
return json.load(d)
except urllib.error.URLError:
if not retry:
raise
time.sleep(RETRY_INTERVAL)
def update_cookie(scope, retry):
now = int(time.time())
token = acquire_token(scope, retry)
access_token = token['access_token']
expires = now + int(token['expires_in']) # Epoch in sec
path = sys.argv[1]
tmp_path = path + ".lock"
with open(tmp_path, 'w') as f:
f.write(json.dumps(token))
print('Updating %s.' % path)
print('Expires: %d, %s, in %d seconds'% (
expires, time.ctime(expires), expires - now))
sys.stdout.flush()
os.rename(tmp_path, path)
return expires
def refresh_loop(scope, expires):
expires = expires - REFRESH
while True:
now = time.time()
expires = max(expires, now + RETRY_INTERVAL)
while now < expires:
time.sleep(expires - now)
now = time.time()
expires = update_cookie(scope, retry=True) - REFRESH
def main():
scope = select_scope()
expires = update_cookie(scope, retry=False)
refresh_loop(scope, expires)
if __name__ == '__main__':
main()