1
0
mirror of https://github.com/quay/quay.git synced 2026-01-26 06:21:37 +03:00
Files
quay/buildman/manager/executor.py

797 lines
30 KiB
Python

import datetime
import hashlib
import io
import json
import logging
import os
import socket
import subprocess
import threading
import time
import uuid
from functools import lru_cache, partial, wraps
import boto3
import botocore
import cachetools.func
import requests
from jinja2 import Environment, FileSystemLoader
from prometheus_client import Histogram
import release
from _init import OVERRIDE_CONFIG_DIRECTORY, ROOT_DIR
from app import app
from buildman.container_cloud_config import CloudConfigContext
from buildman.server import SECURE_GRPC_SERVER_PORT
logger = logging.getLogger(__name__)
ONE_HOUR = 60 * 60
_TAG_RETRY_COUNT = 3 # Number of times to retry adding tags.
_TAG_RETRY_SLEEP = 2 # Number of seconds to wait between tag retries.
ENV = Environment(loader=FileSystemLoader(os.path.join(ROOT_DIR, "buildman/templates")))
CloudConfigContext().populate_jinja_environment(ENV)
TEMPLATE = ENV.get_template("cloudconfig.json")
build_start_duration = Histogram(
"quay_build_start_duration_seconds",
"seconds taken for a executor to start executing a queued build",
labelnames=["executor"],
)
def observe(metric, *labels):
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
trigger_time = time.time()
rv = func(*args, **kwargs)
metric.labels(*labels).observe(time.time() - trigger_time)
return rv
return wrapper
return decorator
def persist_for_debugging(func):
"""
Wrapper for stop_builder that prevents the workers from being cleaned up (for testing purposes only)
"""
@wraps(func)
def wrapper(self, *args, **kwargs):
if self.executor_config.get("DEBUG", False):
logger.debug("Executor %s DEBUG set, not calling 'stop_builder()'", self.name)
return
return func(self, *args, **kwargs)
return wrapper
class ExecutorException(Exception):
"""
Exception raised when there is a problem starting or stopping a builder.
"""
pass
class BuilderExecutor(object):
def __init__(self, executor_config, registry_hostname, manager_hostname):
"""
Interface which can be plugged into the EphemeralNodeManager to provide a strategy for
starting and stopping builders.
"""
self.executor_config = executor_config
self.registry_hostname = registry_hostname
self.manager_hostname = manager_hostname
@property
def name(self):
"""
Name returns the unique name for this executor.
"""
return self.executor_config.get("NAME") or self.__class__.__name__
@property
def setup_time(self):
"""
Returns the amount of time (in seconds) to wait for the execution to start for the build.
If None, the manager's default will be used.
"""
return self.executor_config.get("SETUP_TIME")
def start_builder(self, token, build_uuid):
"""
Create a builder with the specified config.
Returns a unique id which can be used to manage the builder.
"""
raise NotImplementedError
def stop_builder(self, builder_id):
"""
Stop a builder which is currently running.
"""
raise NotImplementedError
@property
def running_builders_count(self):
"""
Returns the number of builders running under the executor
"""
raise NotImplementedError
def allowed_for_namespace(self, namespace):
"""
Returns true if this executor can be used for builds in the given namespace.
"""
# Check for an explicit namespace whitelist.
namespace_whitelist = self.executor_config.get("NAMESPACE_WHITELIST")
if namespace_whitelist is not None and namespace in namespace_whitelist:
return True
# Check for a staged rollout percentage. If found, we hash the namespace and, if it is found
# in the first X% of the character space, we allow this executor to be used.
staged_rollout = self.executor_config.get("STAGED_ROLLOUT")
if staged_rollout is not None:
bucket = int(hashlib.sha256(namespace.encode("utf-8")).hexdigest()[-2:], 16)
return bucket < (256 * staged_rollout)
# If there are no restrictions in place, we are free to use this executor.
return staged_rollout is None and namespace_whitelist is None
@property
def minimum_retry_threshold(self):
"""
Returns the minimum number of retries required for this executor to be used or 0 if none.
"""
return self.executor_config.get("MINIMUM_RETRY_THRESHOLD", 0)
@lru_cache(maxsize=1)
def _ca_cert(self):
try:
with open(os.path.join(OVERRIDE_CONFIG_DIRECTORY, "ssl.cert"), "r") as f:
return f.read()
except:
return None
def generate_cloud_config(
self,
token,
build_uuid,
manager_hostname,
quay_username=None,
quay_password=None,
):
if quay_username is None:
quay_username = self.executor_config.get("QUAY_USERNAME", None)
if quay_password is None:
quay_password = self.executor_config.get("QUAY_PASSWORD", None)
# If SERVER_HOSTNAME and BUILDMAN_HOSTNAME are served under the same host
# the gRPC service will be exposed at SERVER_HOSTNAME:55443
#
# If that's not the case, then BUILDMAN_HOSTNAME should include the port at which the service is being served.
# For example, BUILDMAN_HOST:443 for an OpenShift `Route`.
server_grpc_addr = (
manager_hostname.split(":", 1)[0] + ":" + str(SECURE_GRPC_SERVER_PORT)
if self.registry_hostname == self.manager_hostname
else self.manager_hostname
)
rendered_json = json.load(
io.StringIO(
TEMPLATE.render(
token=token,
build_uuid=build_uuid,
quay_username=quay_username,
quay_password=quay_password,
manager_hostname=server_grpc_addr,
registry_hostname=self.registry_hostname,
worker_image=self.executor_config.get(
"WORKER_IMAGE", "quay.io/coreos/registry-build-worker"
),
worker_tag=self.executor_config["WORKER_TAG"],
volume_size=self.executor_config.get("VOLUME_SIZE", "42G"),
max_lifetime_s=self.executor_config.get("MAX_LIFETIME_S", 10800),
timeout_start_sec=self.executor_config.get("MAX_LIFETIME_S", 10800),
ssh_authorized_keys=self.executor_config.get("SSH_AUTHORIZED_KEYS", []),
container_runtime=self.executor_config.get("CONTAINER_RUNTIME", "docker"),
ca_cert=self.executor_config.get("CA_CERT", self._ca_cert()),
debug=self.executor_config.get("DEBUG", False),
http_proxy=self.executor_config.get("HTTP_PROXY", None),
https_proxy=self.executor_config.get("HTTPS_PROXY", None),
noproxy=self.executor_config.get("NO_PROXY", None),
)
)
)
return json.dumps(rendered_json)
class EC2Executor(BuilderExecutor):
"""
Implementation of BuilderExecutor which uses libcloud to start machines on a variety of cloud
providers.
"""
COREOS_STACK_ARCHITECTURE = "x86_64"
COREOS_STACK_URL = "https://builds.coreos.fedoraproject.org/streams/%s.json"
def __init__(self, *args, **kwargs):
super(EC2Executor, self).__init__(*args, **kwargs)
def _get_conn(self):
"""
Creates an ec2 connection which can be used to manage instances.
"""
return boto3.client(
"ec2",
region_name=self.executor_config["EC2_REGION"],
aws_access_key_id=self.executor_config.get("AWS_ACCESS_KEY", ""),
aws_secret_access_key=self.executor_config.get("AWS_SECRET_KEY", ""),
)
@property
def running_builders_count(self):
try:
ec2_conn = self._get_conn()
resp = ec2_conn.describe_instances(
Filters=[{"Name": "tag:Name", "Values": ["Quay Ephemeral Builder"]}]
)
except Exception as ec2e:
logger.error("EC2 executor error: %s", ec2e)
raise ExecutorException(ec2e)
count = 0
for reservation in resp["Reservations"]:
for instance in reservation["Instances"]:
if instance["State"]["Name"] in ("Running", "Pending"):
count += 1
return count
@classmethod
@cachetools.func.ttl_cache(ttl=ONE_HOUR)
def _get_coreos_ami(cls, ec2_region, coreos_channel):
"""
Retrieve the CoreOS AMI id from the canonical listing.
"""
stack_list_json = requests.get(EC2Executor.COREOS_STACK_URL % coreos_channel).json()
stack_amis = stack_list_json["architectures"][EC2Executor.COREOS_STACK_ARCHITECTURE][
"images"
]["aws"]["regions"]
return stack_amis[ec2_region]["image"]
@observe(build_start_duration, "ec2")
def start_builder(self, token, build_uuid):
region = self.executor_config["EC2_REGION"]
channel = self.executor_config.get("COREOS_CHANNEL", "stable")
coreos_ami = self.executor_config.get("COREOS_AMI", None)
if coreos_ami is None:
coreos_ami = self._get_coreos_ami(region, channel)
user_data = self.generate_cloud_config(token, build_uuid, self.manager_hostname)
logger.debug("Generated cloud config for build %s: %s", build_uuid, user_data)
ec2_conn = self._get_conn()
block_device_mappings = [
{
"DeviceName": "/dev/xvda",
"Ebs": {
"VolumeSize": int(self.executor_config.get("BLOCK_DEVICE_SIZE", 48)),
"VolumeType": "gp2",
"DeleteOnTermination": True,
},
}
]
interfaces = None
if self.executor_config.get("EC2_VPC_SUBNET_ID", None) is not None:
interfaces = [
{
"DeviceIndex": 0,
"SubnetId": self.executor_config["EC2_VPC_SUBNET_ID"],
"Groups": self.executor_config["EC2_SECURITY_GROUP_IDS"],
"AssociatePublicIpAddress": True,
}
]
tag_specs = [
{
"ResourceType": "instance",
"Tags": [
{"Key": "Name", "Value": "Quay Ephemeral Builder"},
{"Key": "RegistrationToken", "Value": token[:36]},
{"Key": "BuildUUID", "Value": build_uuid},
],
}
]
try:
reservation = ec2_conn.run_instances(
ImageId=coreos_ami,
InstanceType=self.executor_config["EC2_INSTANCE_TYPE"],
KeyName=self.executor_config.get("EC2_KEY_NAME", None),
UserData=user_data,
InstanceInitiatedShutdownBehavior="terminate",
BlockDeviceMappings=block_device_mappings,
NetworkInterfaces=interfaces,
MinCount=1,
MaxCount=1,
TagSpecifications=tag_specs,
)
except (ec2_conn.exceptions.ClientError, botocore.exceptions.ClientError) as ec2e:
raise ExecutorException(ec2e)
instances = reservation.get("Instances", [])
if not instances:
raise ExecutorException("Unable to spawn builder instance.")
elif len(instances) != 1:
raise ExecutorException("EC2 started wrong number of instances!")
launched = instances[0]
logger.debug("Machine with ID %s started for build %s", launched["InstanceId"], build_uuid)
return launched["InstanceId"]
@persist_for_debugging
def stop_builder(self, builder_id):
try:
ec2_conn = self._get_conn()
terminated_instances = ec2_conn.terminate_instances(InstanceIds=[builder_id])
except (ec2_conn.exceptions.ClientError, botocore.exceptions.ClientError) as ec2e:
if ec2e.response["Error"]["Code"] == "InvalidInstanceID.NotFound":
logger.debug("Instance %s already terminated", builder_id)
return
logger.exception("Exception when trying to terminate instance %s", builder_id)
raise
if builder_id not in [
si["InstanceId"] for si in terminated_instances["TerminatingInstances"]
]:
raise ExecutorException("Unable to terminate instance: %s" % builder_id)
class PopenExecutor(BuilderExecutor):
"""
Implementation of BuilderExecutor which uses Popen to fork a quay-builder process.
"""
def __init__(self, executor_config, manager_hostname):
self._jobs = {}
super(PopenExecutor, self).__init__(executor_config, manager_hostname)
@property
def running_builders_count(self):
return len([i for i in [v[0].poll() for k, v in self._jobs] if i is not None])
@observe(build_start_duration, "fork")
def start_builder(self, token, build_uuid):
# Now start a machine for this job, adding the machine id to the etcd information
logger.debug("Forking process for build")
ws_host = os.environ.get("BUILDMAN_WS_HOST", "localhost")
ws_port = os.environ.get("BUILDMAN_WS_PORT", "8787")
builder_env = {
"TOKEN": token,
"ENDPOINT": "ws://%s:%s" % (ws_host, ws_port),
"DOCKER_TLS_VERIFY": os.environ.get("DOCKER_TLS_VERIFY", ""),
"DOCKER_CERT_PATH": os.environ.get("DOCKER_CERT_PATH", ""),
"DOCKER_HOST": os.environ.get("DOCKER_HOST", ""),
"PATH": "/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
}
logpipe = LogPipe(logging.INFO)
spawned = subprocess.Popen(
os.environ.get("BUILDER_BINARY_LOCATION", "/usr/local/bin/quay-builder"),
stdout=logpipe,
stderr=logpipe,
env=builder_env,
)
builder_id = str(uuid.uuid4())
self._jobs[builder_id] = (spawned, logpipe)
logger.debug("Builder spawned with id: %s", builder_id)
return builder_id
def stop_builder(self, builder_id):
if builder_id not in self._jobs:
raise ExecutorException("Builder id not being tracked by executor.")
logger.debug("Killing builder with id: %s", builder_id)
spawned, logpipe = self._jobs[builder_id]
if spawned.poll() is None:
spawned.kill()
logpipe.close()
class KubernetesExecutor(BuilderExecutor):
"""
Executes build jobs by creating Kubernetes jobs which run a qemu-kvm virtual machine in a pod.
"""
def __init__(self, *args, **kwargs):
super(KubernetesExecutor, self).__init__(*args, **kwargs)
self.namespace = self.executor_config.get("BUILDER_NAMESPACE", "builder")
self.image = self.executor_config.get(
"BUILDER_VM_CONTAINER_IMAGE", "quay.io/quay/quay-builder-qemu-fedoracoreos:stable"
)
@property
def running_builders_count(self):
def _completed(job):
if not job.get("status"):
return False
conditions = job["status"].get("conditions")
if not conditions:
return False
if (
conditions[0]["type"] in ("Complete", "Failed")
and conditions[0]["status"] == "True"
):
return True
return False
q = {"labelSelector": "build,time,manager,quay-sha"}
jobs_list = self._request("GET", self._jobs_path(), params=q)
if jobs_list.status_code != 200:
logger.error(
"Kubernetes executor request error: %s %s - %s",
"GET",
jobs_list.url,
jobs_list.status_code,
)
raise ExecutorException(
"Failed to get runnning builder count from executor %s: %s %s",
self.name,
jobs_list.status_code,
jobs_list.reason,
)
running_jobs = [j for j in jobs_list.json()["items"] if not _completed(j)]
return len(running_jobs)
def _request(self, method, path, **kwargs):
request_options = dict(kwargs)
tls_cert = self.executor_config.get("K8S_API_TLS_CERT")
tls_key = self.executor_config.get("K8S_API_TLS_KEY")
tls_ca = self.executor_config.get("K8S_API_TLS_CA")
service_account_token = self.executor_config.get("SERVICE_ACCOUNT_TOKEN")
if tls_ca:
request_options["verify"] = tls_ca
if "timeout" not in request_options:
request_options["timeout"] = self.executor_config.get("K8S_API_TIMEOUT", 20)
if service_account_token:
scheme = "https"
request_options["headers"] = {"Authorization": "Bearer " + service_account_token}
logger.debug("Using service account token for Kubernetes authentication")
elif tls_cert and tls_key:
scheme = "https"
request_options["cert"] = (tls_cert, tls_key)
logger.debug("Using tls certificate and key for Kubernetes authentication")
else:
scheme = "http"
server = self.executor_config.get("K8S_API_SERVER", "localhost:8080")
url = "%s://%s%s" % (scheme, server, path)
logger.debug("Executor config: %s", self.executor_config)
logger.debug("Kubernetes request: %s %s: %s", method, url, request_options)
res = requests.request(method, url, **request_options)
logger.debug("Kubernetes response: %s: %s", res.status_code, res.text)
return res
def _jobs_path(self):
return "/apis/batch/v1/namespaces/%s/jobs" % self.namespace
def _job_path(self, build_uuid):
return "%s/%s" % (self._jobs_path(), build_uuid)
def _kubernetes_distribution(self):
return self.executor_config.get("KUBERNETES_DISTRIBUTION", "basic").lower()
def _is_basic_kubernetes_distribution(self):
return self._kubernetes_distribution() == "basic"
def _is_openshift_kubernetes_distribution(self):
return self._kubernetes_distribution() == "openshift"
def _build_job_container_resources(self):
# Minimum acceptable free resources for this container to "fit" in a quota
# These may be lower than the absolute limits if the cluster is knowingly
# oversubscribed by some amount.
container_requests = {
"memory": self.executor_config.get("CONTAINER_MEMORY_REQUEST", "3968Mi"),
}
container_limits = {
"memory": self.executor_config.get("CONTAINER_MEMORY_LIMITS", "5120Mi"),
"cpu": self.executor_config.get("CONTAINER_CPU_LIMITS", "1000m"),
}
resources = {
"requests": container_requests,
}
if self._is_openshift_kubernetes_distribution():
resources["requests"]["cpu"] = self.executor_config.get("CONTAINER_CPU_REQUEST", "500m")
resources["limits"] = container_limits
return resources
def _build_job_containers(self, token, build_uuid):
user_data = self.generate_cloud_config(token, build_uuid, self.manager_hostname)
vm_memory_limit = self.executor_config.get("VM_MEMORY_LIMIT", "4G")
vm_volume_size = self.executor_config.get("VOLUME_SIZE", "32G")
container = {
"name": "builder",
"imagePullPolicy": self.executor_config.get("IMAGE_PULL_POLICY", "Always"),
"image": self.image,
"securityContext": {"privileged": True},
"env": [
{"name": "USERDATA", "value": user_data},
{"name": "VM_MEMORY", "value": vm_memory_limit},
{"name": "VM_VOLUME_SIZE", "value": vm_volume_size},
],
"resources": self._build_job_container_resources(),
}
if self._is_basic_kubernetes_distribution():
container["volumeMounts"] = [
{
"name": "secrets-mask",
"mountPath": "/var/run/secrets/kubernetes.io/serviceaccount",
}
]
return container
def _job_resource(self, token, build_uuid):
image_pull_secret_name = self.executor_config.get("IMAGE_PULL_SECRET_NAME", "builder")
service_account = self.executor_config.get("SERVICE_ACCOUNT_NAME", "quay-builder-sa")
node_selector_label_key = self.executor_config.get(
"NODE_SELECTOR_LABEL_KEY", "beta.kubernetes.io/instance-type"
)
node_selector_label_value = self.executor_config.get("NODE_SELECTOR_LABEL_VALUE", "")
node_selector = {node_selector_label_key: node_selector_label_value}
release_sha = release.GIT_HEAD or "none"
if " " in release_sha:
release_sha = "HEAD"
job_resource = {
"apiVersion": "batch/v1",
"kind": "Job",
"metadata": {
"namespace": self.namespace,
"generateName": build_uuid + "-",
"labels": {
"build": build_uuid,
"time": datetime.datetime.now().strftime("%Y-%m-%d-%H"),
"manager": socket.gethostname(),
"quay-sha": release_sha,
},
},
"spec": {
"activeDeadlineSeconds": self.executor_config.get("MAXIMUM_JOB_TIME", 7200),
"backoffLimit": 1,
"template": {
"metadata": {
"labels": {
"build": build_uuid,
"time": datetime.datetime.now().strftime("%Y-%m-%d-%H"),
"manager": socket.gethostname(),
"quay-sha": release_sha,
},
},
"spec": {
"imagePullSecrets": [{"name": image_pull_secret_name}],
"restartPolicy": "Never",
"dnsPolicy": self.executor_config.get("DNS_POLICY", "Default"),
"containers": [self._build_job_containers(token, build_uuid)],
},
},
},
}
# If DEBUG isn't enabled, add a TTL on the job
if not self.executor_config.get("DEBUG", False):
job_resource["spec"]["ttlSecondsAfterFinished"] = self.executor_config.get(
"RETENTION_AFTER_FINISHED", 120
)
if self._is_openshift_kubernetes_distribution():
# Setting `automountServiceAccountToken` to false will prevent automounting API credentials for a service account.
job_resource["spec"]["template"]["spec"]["automountServiceAccountToken"] = False
# Use dedicated service account that has no authorization to any resources.
job_resource["spec"]["template"]["spec"]["serviceAccount"] = service_account
# Setting `enableServiceLinks` to false prevents information about other services from being injected into pod's
# environment variables. Pod has no visibility into other services on the cluster.
job_resource["spec"]["template"]["spec"]["enableServiceLinks"] = False
if node_selector_label_value.strip() != "":
job_resource["spec"]["template"]["spec"]["nodeSelector"] = node_selector
if self._is_basic_kubernetes_distribution():
# This volume is a hack to mask the token for the namespace's
# default service account, which is placed in a file mounted under
# `/var/run/secrets/kubernetes.io/serviceaccount` in all pods.
# There's currently no other way to just disable the service
# account at either the pod or namespace level.
#
# https://github.com/kubernetes/kubernetes/issues/16779
#
job_resource["spec"]["template"]["spec"]["volumes"] = [
{"name": "secrets-mask", "emptyDir": {"medium": "Memory"}}
]
return job_resource
@observe(build_start_duration, "k8s")
def start_builder(self, token, build_uuid):
# generate resource
resource = self._job_resource(token, build_uuid)
logger.debug("Using Kubernetes Distribution: %s", self._kubernetes_distribution())
logger.debug("Generated kubernetes resource:\n%s", resource)
# schedule
create_job = self._request("POST", self._jobs_path(), json=resource)
if int(create_job.status_code / 100) != 2:
raise ExecutorException(
"Failed to create job: %s: %s: %s"
% (build_uuid, create_job.status_code, create_job.text)
)
job = create_job.json()
return job["metadata"]["name"]
@persist_for_debugging
def stop_builder(self, builder_id):
pods_path = "/api/v1/namespaces/%s/pods" % self.namespace
# Delete the job itself.
try:
self._request("DELETE", self._job_path(builder_id))
except:
logger.error("Failed to send delete job call for job %s", builder_id)
raise ExecutorException("Failed to send delete job call for job %s", builder_id)
# Delete the pod(s) for the job.
selectorString = "job-name=%s" % builder_id
try:
self._request("DELETE", pods_path, params=dict(labelSelector=selectorString))
except:
logger.error("Failed to send delete pod call for job %s", builder_id)
raise ExecutorException("Failed to send delete pod call for job %s", builder_id)
class KubernetesPodmanExecutor(KubernetesExecutor):
def __init__(self, *args, **kwargs):
super(KubernetesExecutor, self).__init__(*args, **kwargs)
self.namespace = self.executor_config.get("BUILDER_NAMESPACE", "builder")
self.image = self.executor_config.get(
"BUILDER_CONTAINER_IMAGE", "quay.io/projectquay/quay-builder:latest"
)
def _build_job_containers(self, token, build_uuid):
server_grpc_addr = (
self.manager_hostname.split(":", 1)[0] + ":" + str(SECURE_GRPC_SERVER_PORT)
if self.registry_hostname == self.manager_hostname
else self.manager_hostname
)
cert = self.executor_config.get("CA_CERT", self._ca_cert())
certs = [cert] if cert is not None else []
for extra_cert in self.executor_config.get("EXTRA_CA_CERTS", []):
try:
with open(os.path.join(OVERRIDE_CONFIG_DIRECTORY, extra_cert), "r") as f:
certs.append(f.read())
except:
logger.warning("Failed to load extra CA cert for builder %s", extra_cert)
certs = "\n".join(certs)
container = {
"name": "builder",
"imagePullPolicy": self.executor_config.get("IMAGE_PULL_POLICY", "Always"),
"image": self.image,
"env": [
{"name": "TOKEN", "value": token},
{"name": "BUILD_UUID", "value": build_uuid},
{"name": "SERVER", "value": server_grpc_addr}, # manager_hostname
{"name": "REGISTRY_HOSTNAME", "value": self.registry_hostname},
{"name": "CONTAINER_RUNTIME", "value": "podman"},
{"name": "BULDAH_ISOLATION", "value": "chroot"},
{"name": "CA_CERT", "value": certs},
{"name": "GIT_SSL_CAINFO", "value": "/certs/cacert.crt"},
{"name": "TLS_CERT_PATH", "value": "/certs/cacert.crt"}, # Used by build manager
{
"name": "SSL_CERT_FILE",
"value": "/certs/cacert.crt",
}, # Used for other Podman and other Go libraries
{"name": "DEBUG", "value": str(self.executor_config.get("DEBUG", False)).lower()},
{"name": "HTTP_PROXY", "value": self.executor_config.get("HTTP_PROXY", "")},
{"name": "HTTPS_PROXY", "value": self.executor_config.get("HTTPS_PROXY", "")},
{"name": "NO_PROXY", "value": self.executor_config.get("NO_PROXY", "")},
{"name": "DOCKER_HOST", "value": "unix:///tmp/podman-run-1000/podman/podman.sock"},
{
"name": "EXECUTOR",
"value": self.executor_config.get("EXECUTOR", "kubernetesPodman"),
},
],
"resources": self._build_job_container_resources(),
}
if self._is_basic_kubernetes_distribution():
container["volumeMounts"] = [
{
"name": "secrets-mask",
"mountPath": "/var/run/secrets/kubernetes.io/serviceaccount",
}
]
return container
class LogPipe(threading.Thread):
"""
Adapted from http://codereview.stackexchange.com/a/17959.
"""
def __init__(self, level):
"""
Setup the object with a logger and a loglevel and start the thread.
"""
threading.Thread.__init__(self)
self.daemon = False
self.level = level
self.fd_read, self.fd_write = os.pipe()
self.pipe_reader = os.fdopen(self.fd_read)
self.start()
def fileno(self):
"""
Return the write file descriptor of the pipe.
"""
return self.fd_write
def run(self):
"""
Run the thread, logging everything.
"""
for line in iter(self.pipe_reader.readline, ""):
logging.log(self.level, line.strip("\n"))
self.pipe_reader.close()
def close(self):
"""
Close the write end of the pipe.
"""
os.close(self.fd_write)