def _scale_pods(self, scale_types):
release = self.release_set.filter(failed=False).latest()
app_settings = self.appsettings_set.latest()
# use slugrunner image for app if buildpack app otherwise use normal image
image = settings.SLUGRUNNER_IMAGE if release.build.type == 'buildpack' else release.image
tasks = []
for scale_type, replicas in scale_types.items():
data = self._gather_app_settings(release, app_settings, scale_type, replicas) # noqa
# gather all proc types to be deployed
tasks.append(
functools.partial(
self._scheduler.scale,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**data
)
)
try:
# create the application config in k8s (secret in this case) for all deploy objects
self.set_application_config(release)
async_run(tasks)
except Exception as e:
err = '(scale): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
def _scale_pods(self, scale_types):
release = self.release_set.filter(failed=False).latest()
app_settings = self.appsettings_set.latest()
# use slugrunner image for app if buildpack app otherwise use normal image
image = settings.SLUGRUNNER_IMAGE if release.build.type == 'buildpack' else release.image
tasks = []
for scale_type, replicas in scale_types.items():
data = self._gather_app_settings(release, app_settings, scale_type, replicas) # noqa
# gather all proc types to be deployed
tasks.append(
functools.partial(
self._scheduler.scale,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**data
)
)
try:
# create the application config in k8s (secret in this case) for all deploy objects
self.set_application_config(release)
async_run(tasks)
except Exception as e:
err = '(scale): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
def _scale_pods(self, scale_types):
release = self.release_set.latest()
envs = release.config.values
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES', settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get('DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
tasks = []
for scale_type, replicas in scale_types.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in ['web', 'cmd'] else False
# fetch application port and inject into ENV Vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
kwargs = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': release.config.tags,
'envs': envs,
'registry': release.config.registry,
'version': "v{}".format(release.version),
'replicas': replicas,
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': release.config.healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
}
# gather all proc types to be deployed
tasks.append(
functools.partial(
self._scheduler.scale,
namespace=self.id,
name=self._get_job_id(scale_type),
image=release.image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs
)
)
try:
async_run(tasks)
except Exception as e:
err = '(scale): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
def _scale_pods(self, scale_types):
release = self.release_set.latest()
envs = release.config.values
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES',
settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get(
'DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
tasks = []
for scale_type, replicas in scale_types.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in ['web', 'cmd'] else False
# fetch application port and inject into ENV Vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
kwargs = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': release.config.tags,
'envs': envs,
'registry': release.config.registry,
'version': "v{}".format(release.version),
'replicas': replicas,
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': release.config.healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
}
# gather all proc types to be deployed
tasks.append(
functools.partial(self._scheduler.scale,
namespace=self.id,
name=self._get_job_id(scale_type),
image=release.image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs))
try:
async_run(tasks)
except Exception as e:
err = '(scale): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
def deploy(self, release, force_deploy=False):
"""
Deploy a new release to this application
force_deploy can be used when a deployment is broken, such as for Rollback
"""
if release.build is None:
raise DeisException('No build associated with this release')
# use create to make sure minimum resources are created
self.create()
if self.structure == {}:
self.structure = self._default_structure(release)
self.save()
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES',
settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get(
'DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
deployment_history = release.config.values.get(
'KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT',
settings.KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT) # noqa
# deploy application to k8s. Also handles initial scaling
deploys = {}
envs = release.config.values
for scale_type, replicas in self.structure.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in ['web', 'cmd'] else False
# fetch application port and inject into ENV vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
deploys[scale_type] = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': release.config.tags,
'envs': envs,
'registry': release.config.registry,
# only used if there is no previous RC
'replicas': replicas,
'version': "v{}".format(release.version),
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': release.config.healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
'deployment_history_limit': deployment_history,
'release_summary': release.summary
}
# Sort deploys so routable comes first
deploys = OrderedDict(
sorted(deploys.items(), key=lambda d: d[1].get('routable')))
# Check if any proc type has a Deployment in progress
for scale_type, kwargs in deploys.items():
# Is there an existing deployment in progress?
name = self._get_job_id(scale_type)
if not force_deploy and release.deployment_in_progress(
self.id, name):
raise AlreadyExists(
'Deployment for {} is already in progress'.format(name))
try:
# gather all proc types to be deployed
tasks = [
functools.partial(self._scheduler.deploy,
namespace=self.id,
name=self._get_job_id(scale_type),
image=release.image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs)
for scale_type, kwargs in deploys.items()
]
async_run(tasks)
except Exception as e:
err = '(app::deploy): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
# Wait until application is available in the router
# Only run when there is no previous build / release
old = release.previous()
if old is None or old.build is None:
self.verify_application_health(**kwargs)
# cleanup old release objects from kubernetes
release.cleanup_old()
def restart(self, **kwargs): # noqa
"""
Restart found pods by deleting them (RC / Deployment will recreate).
Wait until they are all drained away and RC / Deployment has gotten to a good state
"""
try:
# Resolve single pod name if short form (cmd-1269180282-1nyfz) is passed
if 'name' in kwargs and kwargs['name'].count('-') == 2:
kwargs['name'] = '{}-{}'.format(kwargs['id'], kwargs['name'])
# Iterate over RCs / RSs to get total desired count if not a single item
desired = 1
if 'name' not in kwargs:
desired = 0
labels = self._scheduler_filter(**kwargs)
# fetch RS (which represent Deployments)
controllers = self._scheduler.get_replicasets(kwargs['id'],
labels=labels)
for controller in controllers.json()['items']:
desired += controller['spec']['replicas']
except KubeException:
# Nothing was found
return []
try:
tasks = [
functools.partial(self._scheduler.delete_pod, self.id,
pod['name'])
for pod in self.list_pods(**kwargs)
]
async_run(tasks)
except Exception as e:
err = "warning, some pods failed to stop:\n{}".format(str(e))
self.log(err, logging.WARNING)
# Wait for pods to start
try:
timeout = 300 # 5 minutes
elapsed = 0
while True:
# timed out
if elapsed >= timeout:
raise DeisException(
'timeout - 5 minutes have passed and pods are not up')
# restarting a single pod behaves differently, fetch the *newest* pod
# and hope it is the right one. Comes back sorted
if 'name' in kwargs:
del kwargs['name']
pods = self.list_pods(**kwargs)
# Add in the latest name
if len(pods) == 0:
# if pod is not even scheduled wait for it and pass dummy kwargs
# to indicate restart of a single pod
kwargs['name'] = "dummy"
continue
kwargs['name'] = pods[0]['name']
pods = pods[0]
actual = 0
for pod in self.list_pods(**kwargs):
if pod['state'] == 'up':
actual += 1
if desired == actual:
break
elapsed += 5
time.sleep(5)
except Exception as e:
err = "warning, some pods failed to start:\n{}".format(str(e))
self.log(err, logging.WARNING)
# Return the new pods
pods = self.list_pods(**kwargs)
return pods
def deploy(self, release, force_deploy=False, rollback_on_failure=True): # noqa
"""
Deploy a new release to this application
force_deploy can be used when a deployment is broken, such as for Rollback
"""
if release.build is None:
raise DeisException('No build associated with this release')
# use create to make sure minimum resources are created
self.create()
# set processes structure to default if app is new.
if self.structure == {}:
self.structure = self._default_structure(release)
self.procfile_structure = self._default_structure(release)
self.save()
# reset canonical process types if build type has changed.
else:
# find the previous release's build type
prev_release = release.previous()
if prev_release and prev_release.build:
if prev_release.build.type != release.build.type:
structure = self.structure.copy()
# zero out canonical pod counts
for proctype in ['cmd', 'web']:
if proctype in structure:
structure[proctype] = 0
# update with the default process type.
structure.update(self._default_structure(release))
self.structure = structure
# if procfile structure exists then we use it
if release.build.procfile and \
release.build.sha and not \
release.build.dockerfile:
self.procfile_structure = release.build.procfile
self.save()
# always set the procfile structure for any new release
if release.build.procfile:
self.procfile_structure = release.build.procfile
self.save()
# deploy application to k8s. Also handles initial scaling
app_settings = self.appsettings_set.latest()
deploys = {}
for scale_type, replicas in self.structure.items():
deploys[scale_type] = self._gather_app_settings(release, app_settings, scale_type, replicas) # noqa
# Sort deploys so routable comes first
deploys = OrderedDict(sorted(deploys.items(), key=lambda d: d[1].get('routable')))
# Check if any proc type has a Deployment in progress
self._check_deployment_in_progress(deploys, force_deploy)
# use slugrunner image for app if buildpack app otherwise use normal image
image = settings.SLUGRUNNER_IMAGE if release.build.type == 'buildpack' else release.image
try:
# create the application config in k8s (secret in this case) for all deploy objects
self.set_application_config(release)
# only buildpack apps need access to object storage
if release.build.type == 'buildpack':
self.create_object_store_secret()
# gather all proc types to be deployed
tasks = [
functools.partial(
self._scheduler.deploy,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs
) for scale_type, kwargs in deploys.items()
]
try:
async_run(tasks)
except KubeException as e:
# Don't rollback if the previous release doesn't have a build which means
# this is the first build and all the previous releases are just config changes.
if rollback_on_failure and release.previous().build is not None:
err = 'There was a problem deploying {}. Rolling back process types to release {}.'.format('v{}'.format(release.version), "v{}".format(release.previous().version)) # noqa
# This goes in the log before the rollback starts
self.log(err, logging.ERROR)
# revert all process types to old release
self.deploy(release.previous(), force_deploy=True, rollback_on_failure=False)
# let it bubble up
raise DeisException('{}\n{}'.format(err, str(e))) from e
# otherwise just re-raise
raise
except Exception as e:
# This gets shown to the end user
err = '(app::deploy): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
app_type = 'web' if 'web' in deploys else 'cmd' if 'cmd' in deploys else None
# Make sure the application is routable and uses the correct port done after the fact to
# let initial deploy settle before routing traffic to the application
if deploys and app_type:
app_settings = self.appsettings_set.latest()
if app_settings.whitelist:
addresses = ",".join(address for address in app_settings.whitelist)
else:
addresses = None
service_annotations = {
'maintenance': app_settings.maintenance,
'whitelist': addresses
}
routable = deploys[app_type].get('routable')
port = deploys[app_type].get('envs', {}).get('PORT', None)
self._update_application_service(self.id, app_type, port, routable, service_annotations) # noqa
# Wait until application is available in the router
# Only run when there is no previous build / release
old = release.previous()
if old is None or old.build is None:
self.verify_application_health(**deploys[app_type])
# cleanup old release objects from kubernetes
release.cleanup_old()
def deploy(self, release, force_deploy=False, rollback_on_failure=True): # noqa
"""
Deploy a new release to this application
force_deploy can be used when a deployment is broken, such as for Rollback
"""
if release.build is None:
raise DeisException('No build associated with this release')
# use create to make sure minimum resources are created
self.create()
if self.structure == {}:
self.structure = self._default_structure(release)
self.save()
app_settings = self.appsettings_set.latest()
# deploy application to k8s. Also handles initial scaling
deploys = {}
for scale_type, replicas in self.structure.items():
deploys[scale_type] = self._gather_app_settings(release, app_settings, scale_type, replicas) # noqa
# Sort deploys so routable comes first
deploys = OrderedDict(sorted(deploys.items(), key=lambda d: d[1].get('routable')))
# Check if any proc type has a Deployment in progress
self._check_deployment_in_progress(deploys, force_deploy)
# use slugrunner image for app if buildpack app otherwise use normal image
image = settings.SLUGRUNNER_IMAGE if release.build.type == 'buildpack' else release.image
try:
# create the application config in k8s (secret in this case) for all deploy objects
self.set_application_config(release)
# only buildpack apps need access to object storage
if release.build.type == 'buildpack':
self.create_object_store_secret()
# gather all proc types to be deployed
tasks = [
functools.partial(
self._scheduler.deploy,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs
) for scale_type, kwargs in deploys.items()
]
try:
async_run(tasks)
except KubeException as e:
# Don't rollback if the previous release doesn't have a build which means
# this is the first build and all the previous releases are just config changes.
if rollback_on_failure and release.previous().build is not None:
err = 'There was a problem deploying {}. Rolling back process types to release {}.'.format('v{}'.format(release.version), "v{}".format(release.previous().version)) # noqa
# This goes in the log before the rollback starts
self.log(err, logging.ERROR)
# revert all process types to old release
self.deploy(release.previous(), force_deploy=True, rollback_on_failure=False)
# let it bubble up
raise DeisException('{}\n{}'.format(err, str(e))) from e
# otherwise just re-raise
raise
except Exception as e:
# This gets shown to the end user
err = '(app::deploy): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
app_type = 'web' if 'web' in deploys else 'cmd' if 'cmd' in deploys else None
# Make sure the application is routable and uses the correct port done after the fact to
# let initial deploy settle before routing traffic to the application
if deploys and app_type:
app_settings = self.appsettings_set.latest()
if app_settings.whitelist:
addresses = ",".join(address for address in app_settings.whitelist)
else:
addresses = None
service_annotations = {
'maintenance': app_settings.maintenance,
'whitelist': addresses
}
routable = deploys[app_type].get('routable')
port = deploys[app_type].get('envs', {}).get('PORT', None)
self._update_application_service(self.id, app_type, port, routable, service_annotations) # noqa
# Wait until application is available in the router
# Only run when there is no previous build / release
old = release.previous()
if old is None or old.build is None:
self.verify_application_health(**deploys[app_type])
# cleanup old release objects from kubernetes
release.cleanup_old()
def restart(self, **kwargs): # noqa
"""
Restart found pods by deleting them (RC / Deployment will recreate).
Wait until they are all drained away and RC / Deployment has gotten to a good state
"""
try:
# Resolve single pod name if short form (cmd-1269180282-1nyfz) is passed
if 'name' in kwargs and kwargs['name'].count('-') == 2:
kwargs['name'] = '{}-{}'.format(kwargs['id'], kwargs['name'])
# Iterate over RCs / RSs to get total desired count if not a single item
desired = 1
if 'name' not in kwargs:
desired = 0
labels = self._scheduler_filter(**kwargs)
# fetch RS (which represent Deployments)
controllers = self._scheduler.rs.get(kwargs['id'], labels=labels)
for controller in controllers.json()['items']:
desired += controller['spec']['replicas']
except KubeException:
# Nothing was found
return []
try:
tasks = [
functools.partial(
self._scheduler.pod.delete,
self.id,
pod['name']
) for pod in self.list_pods(**kwargs)
]
async_run(tasks)
except Exception as e:
err = "warning, some pods failed to stop:\n{}".format(str(e))
self.log(err, logging.WARNING)
# Wait for pods to start
try:
timeout = 300 # 5 minutes
elapsed = 0
while True:
# timed out
if elapsed >= timeout:
raise DeisException('timeout - 5 minutes have passed and pods are not up')
# restarting a single pod behaves differently, fetch the *newest* pod
# and hope it is the right one. Comes back sorted
if 'name' in kwargs:
del kwargs['name']
pods = self.list_pods(**kwargs)
# Add in the latest name
if len(pods) == 0:
# if pod is not even scheduled wait for it and pass dummy kwargs
# to indicate restart of a single pod
kwargs['name'] = "dummy"
continue
kwargs['name'] = pods[0]['name']
pods = pods[0]
actual = 0
for pod in self.list_pods(**kwargs):
if pod['state'] == 'up':
actual += 1
if desired == actual:
break
elapsed += 5
time.sleep(5)
except Exception as e:
err = "warning, some pods failed to start:\n{}".format(str(e))
self.log(err, logging.WARNING)
# Return the new pods
pods = self.list_pods(**kwargs)
return pods
def deploy(self, release, force_deploy=False):
"""
Deploy a new release to this application
force_deploy can be used when a deployment is broken, such as for Rollback
"""
if release.build is None:
raise DeisException('No build associated with this release')
# use create to make sure minimum resources are created
self.create()
if self.structure == {}:
self.structure = self._default_structure(release)
self.save()
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES', settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get('DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
deployment_history = release.config.values.get('KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT', settings.KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT) # noqa
# deploy application to k8s. Also handles initial scaling
deploys = {}
envs = release.config.values
for scale_type, replicas in self.structure.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in ['web', 'cmd'] else False
# fetch application port and inject into ENV vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
deploys[scale_type] = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': release.config.tags,
'envs': envs,
'registry': release.config.registry,
# only used if there is no previous RC
'replicas': replicas,
'version': "v{}".format(release.version),
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': release.config.healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
'deployment_history_limit': deployment_history,
'release_summary': release.summary
}
# Sort deploys so routable comes first
deploys = OrderedDict(sorted(deploys.items(), key=lambda d: d[1].get('routable')))
# Check if any proc type has a Deployment in progress
for scale_type, kwargs in deploys.items():
# Is there an existing deployment in progress?
name = self._get_job_id(scale_type)
if not force_deploy and release.deployment_in_progress(self.id, name):
raise AlreadyExists('Deployment for {} is already in progress'.format(name))
try:
# gather all proc types to be deployed
tasks = [
functools.partial(
self._scheduler.deploy,
namespace=self.id,
name=self._get_job_id(scale_type),
image=release.image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs
) for scale_type, kwargs in deploys.items()
]
async_run(tasks)
except Exception as e:
err = '(app::deploy): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
# Wait until application is available in the router
# Only run when there is no previous build / release
old = release.previous()
if old is None or old.build is None:
self.verify_application_health(**kwargs)
# cleanup old release objects from kubernetes
release.cleanup_old()
def deploy(self, release, force_deploy=False, rollback_on_failure=True): # noqa
"""
Deploy a new release to this application
force_deploy can be used when a deployment is broken, such as for Rollback
"""
if release.build is None:
raise DeisException('No build associated with this release')
app_settings = self.appsettings_set.latest()
addresses = ",".join(address for address in app_settings.whitelist)
service_annotations = {'maintenance': app_settings.maintenance, 'whitelist': addresses}
# use create to make sure minimum resources are created
self.create()
if self.structure == {}:
self.structure = self._default_structure(release)
self.save()
image = release.image
registry = release.config.registry
version = "v{}".format(release.version)
envs = self._build_env_vars(release.build.type, version, image, release.config.values)
tags = release.config.tags
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES', settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get('DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
deployment_history = release.config.values.get('KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT', settings.KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT) # noqa
# get application level pod termination grace period
pod_termination_grace_period_seconds = release.config.values.get('KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS', settings.KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS) # noqa
# create image pull secret if needed
image_pull_secret_name = self.image_pull_secret(self.id, registry, image)
# deploy application to k8s. Also handles initial scaling
deploys = {}
for scale_type, replicas in self.structure.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in ['web', 'cmd'] and app_settings.routable else False
# fetch application port and inject into ENV vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
healthcheck = release.config.get_healthcheck().get(scale_type, {})
if not healthcheck and scale_type in ['web', 'cmd']:
healthcheck = release.config.get_healthcheck().get('web/cmd', {})
deploys[scale_type] = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': tags,
'envs': envs,
'registry': registry,
'replicas': replicas,
'version': version,
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
'deployment_revision_history_limit': deployment_history,
'release_summary': release.summary,
'pod_termination_grace_period_seconds': pod_termination_grace_period_seconds,
'image_pull_secret_name': image_pull_secret_name,
}
# Sort deploys so routable comes first
deploys = OrderedDict(sorted(deploys.items(), key=lambda d: d[1].get('routable')))
# Check if any proc type has a Deployment in progress
self._check_deployment_in_progress(deploys, force_deploy)
try:
# create the application config in k8s (secret in this case) for all deploy objects
self._scheduler.set_application_config(self.id, envs, version)
# gather all proc types to be deployed
tasks = [
functools.partial(
self._scheduler.deploy,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs
) for scale_type, kwargs in deploys.items()
]
try:
async_run(tasks)
except KubeException as e:
if rollback_on_failure:
err = 'There was a problem deploying {}. Rolling back process types to release {}.'.format(version, "v{}".format(release.previous().version)) # noqa
# This goes in the log before the rollback starts
self.log(err, logging.ERROR)
# revert all process types to old release
self.deploy(release.previous(), force_deploy=True, rollback_on_failure=False)
# let it bubble up
raise DeisException('{}\n{}'.format(err, str(e))) from e
# otherwise just re-raise
raise
except Exception as e:
# This gets shown to the end user
err = '(app::deploy): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
app_type = 'web' if 'web' in deploys else 'cmd' if 'cmd' in deploys else None
# Make sure the application is routable and uses the correct port Done after the fact to
# let initial deploy settle before routing traffic to the application
if deploys and app_type:
routable = deploys[app_type].get('routable')
port = deploys[app_type].get('envs', {}).get('PORT', None)
self._update_application_service(self.id, app_type, port, routable, service_annotations) # noqa
# Wait until application is available in the router
# Only run when there is no previous build / release
old = release.previous()
if old is None or old.build is None:
self.verify_application_health(**deploys[app_type])
# cleanup old release objects from kubernetes
release.cleanup_old()
def _scale_pods(self, scale_types):
release = self.release_set.latest()
app_settings = self.appsettings_set.latest()
version = "v{}".format(release.version)
image = release.image
envs = self._build_env_vars(release.build.type, version, image, release.config.values)
registry = release.config.registry
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES', settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get('DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
# get application level pod termination grace period
pod_termination_grace_period_seconds = release.config.values.get('KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS', settings.KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS) # noqa
# create image pull secret if needed
image_pull_secret_name = self.image_pull_secret(self.id, registry, image)
tasks = []
for scale_type, replicas in scale_types.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in ['web', 'cmd'] and app_settings.routable else False
# fetch application port and inject into ENV Vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
healthcheck = release.config.get_healthcheck().get(scale_type, {})
if not healthcheck and scale_type in ['web', 'cmd']:
healthcheck = release.config.get_healthcheck().get('web/cmd', {})
kwargs = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': release.config.tags,
'envs': envs,
'registry': registry,
'version': version,
'replicas': replicas,
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
'pod_termination_grace_period_seconds': pod_termination_grace_period_seconds,
'image_pull_secret_name': image_pull_secret_name,
}
# gather all proc types to be deployed
tasks.append(
functools.partial(
self._scheduler.scale,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs
)
)
try:
# create the application config in k8s (secret in this case) for all deploy objects
self._scheduler.set_application_config(self.id, envs, version)
async_run(tasks)
except Exception as e:
err = '(scale): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
def deploy(self,
release,
force_deploy=False,
rollback_on_failure=True): # noqa
"""
Deploy a new release to this application
force_deploy can be used when a deployment is broken, such as for Rollback
"""
if release.build is None:
raise DeisException('No build associated with this release')
app_settings = self.appsettings_set.latest()
addresses = ",".join(address for address in app_settings.whitelist)
service_annotations = {
'maintenance': app_settings.maintenance,
'whitelist': addresses
}
# use create to make sure minimum resources are created
self.create()
if self.structure == {}:
self.structure = self._default_structure(release)
self.save()
image = release.image
registry = release.config.registry
version = "v{}".format(release.version)
envs = self._build_env_vars(release.build.type, version, image,
release.config.values)
tags = release.config.tags
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES',
settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get(
'DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
deployment_history = release.config.values.get(
'KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT',
settings.KUBERNETES_DEPLOYMENTS_REVISION_HISTORY_LIMIT) # noqa
# get application level pod termination grace period
pod_termination_grace_period_seconds = release.config.values.get(
'KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS',
settings.KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS) # noqa
# create image pull secret if needed
image_pull_secret_name = self.image_pull_secret(
self.id, registry, image)
# deploy application to k8s. Also handles initial scaling
deploys = {}
for scale_type, replicas in self.structure.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in [
'web', 'cmd'
] and app_settings.routable else False
# fetch application port and inject into ENV vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
healthcheck = release.config.get_healthcheck().get(scale_type, {})
if not healthcheck and scale_type in ['web', 'cmd']:
healthcheck = release.config.get_healthcheck().get(
'web/cmd', {})
deploys[scale_type] = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': tags,
'envs': envs,
'registry': registry,
'replicas': replicas,
'version': version,
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
'deployment_revision_history_limit': deployment_history,
'release_summary': release.summary,
'pod_termination_grace_period_seconds':
pod_termination_grace_period_seconds,
'image_pull_secret_name': image_pull_secret_name,
}
# Sort deploys so routable comes first
deploys = OrderedDict(
sorted(deploys.items(), key=lambda d: d[1].get('routable')))
# Check if any proc type has a Deployment in progress
self._check_deployment_in_progress(deploys, force_deploy)
try:
# create the application config in k8s (secret in this case) for all deploy objects
self._scheduler.set_application_config(self.id, envs, version)
# gather all proc types to be deployed
tasks = [
functools.partial(self._scheduler.deploy,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs)
for scale_type, kwargs in deploys.items()
]
try:
async_run(tasks)
except KubeException as e:
if rollback_on_failure:
err = 'There was a problem deploying {}. Rolling back process types to release {}.'.format(
version,
"v{}".format(release.previous().version)) # noqa
# This goes in the log before the rollback starts
self.log(err, logging.ERROR)
# revert all process types to old release
self.deploy(release.previous(),
force_deploy=True,
rollback_on_failure=False)
# let it bubble up
raise DeisException('{}\n{}'.format(err, str(e))) from e
# otherwise just re-raise
raise
except Exception as e:
# This gets shown to the end user
err = '(app::deploy): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e
app_type = 'web' if 'web' in deploys else 'cmd' if 'cmd' in deploys else None
# Make sure the application is routable and uses the correct port Done after the fact to
# let initial deploy settle before routing traffic to the application
if deploys and app_type:
routable = deploys[app_type].get('routable')
port = deploys[app_type].get('envs', {}).get('PORT', None)
self._update_application_service(self.id, app_type, port, routable,
service_annotations) # noqa
# Wait until application is available in the router
# Only run when there is no previous build / release
old = release.previous()
if old is None or old.build is None:
self.verify_application_health(**deploys[app_type])
# cleanup old release objects from kubernetes
release.cleanup_old()
def _scale_pods(self, scale_types):
release = self.release_set.latest()
app_settings = self.appsettings_set.latest()
version = "v{}".format(release.version)
image = release.image
envs = self._build_env_vars(release.build.type, version, image,
release.config.values)
registry = release.config.registry
# see if the app config has deploy batch preference, otherwise use global
batches = release.config.values.get('DEIS_DEPLOY_BATCHES',
settings.DEIS_DEPLOY_BATCHES)
# see if the app config has deploy timeout preference, otherwise use global
deploy_timeout = release.config.values.get(
'DEIS_DEPLOY_TIMEOUT', settings.DEIS_DEPLOY_TIMEOUT) # noqa
# get application level pod termination grace period
pod_termination_grace_period_seconds = release.config.values.get(
'KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS',
settings.KUBERNETES_POD_TERMINATION_GRACE_PERIOD_SECONDS) # noqa
# create image pull secret if needed
image_pull_secret_name = self.image_pull_secret(
self.id, registry, image)
tasks = []
for scale_type, replicas in scale_types.items():
# only web / cmd are routable
# http://docs.deis.io/en/latest/using_deis/process-types/#web-vs-cmd-process-types
routable = True if scale_type in [
'web', 'cmd'
] and app_settings.routable else False
# fetch application port and inject into ENV Vars as needed
port = release.get_port()
if port:
envs['PORT'] = port
healthcheck = release.config.get_healthcheck().get(scale_type, {})
if not healthcheck and scale_type in ['web', 'cmd']:
healthcheck = release.config.get_healthcheck().get(
'web/cmd', {})
kwargs = {
'memory': release.config.memory,
'cpu': release.config.cpu,
'tags': release.config.tags,
'envs': envs,
'registry': registry,
'version': version,
'replicas': replicas,
'app_type': scale_type,
'build_type': release.build.type,
'healthcheck': healthcheck,
'routable': routable,
'deploy_batches': batches,
'deploy_timeout': deploy_timeout,
'pod_termination_grace_period_seconds':
pod_termination_grace_period_seconds,
'image_pull_secret_name': image_pull_secret_name,
}
# gather all proc types to be deployed
tasks.append(
functools.partial(self._scheduler.scale,
namespace=self.id,
name=self._get_job_id(scale_type),
image=image,
entrypoint=self._get_entrypoint(scale_type),
command=self._get_command(scale_type),
**kwargs))
try:
# create the application config in k8s (secret in this case) for all deploy objects
self._scheduler.set_application_config(self.id, envs, version)
async_run(tasks)
except Exception as e:
err = '(scale): {}'.format(e)
self.log(err, logging.ERROR)
raise ServiceUnavailable(err) from e