def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# The configuration data passed in will be .kube/config data, so process is accordingly.
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeOpenshiftError(
"OpenShift API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
self.oc_api = urljoin(url, "oapi/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
self.api.test_connection(self.oc_api)
# Gather the resource names which will be used for the 'kind' API calls
self.oc_api_resources = self.api.get_resources(self.oc_api)
# Gather what API groups are available
# TODO: refactor this (create function in kubebase.py)
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
def _generate_kurl(self, obj, namespace, name=None, params=None):
'''
Generate the required URL by extracting the 'kind' from the
object as well as the namespace.
Args:
obj (obj): Object of the data being passed
namespace (str): k8s namespace
name (str): Name of the object being passed
params (arr): Extra params passed such as timeout=300
Returns:
kind (str): The kind used
url (str): The URL to be used / artifact URL
'''
if 'apiVersion' not in obj.keys():
raise KubeOpenshiftError(
"Error processing object. There is no apiVersion")
if 'kind' not in obj.keys():
raise KubeOpenshiftError(
"Error processing object. There is no kind")
api_version = obj['apiVersion']
kind = obj['kind']
resource = KubeBase.kind_to_resource_name(kind)
if resource in self.k8s_api_resources[api_version]:
if api_version == 'v1':
url = self.k8s_api
else:
url = urljoin(self.k8s_apis, "%s/" % api_version)
elif resource in self.oc_api_resources:
url = self.oc_api
else:
raise KubeOpenshiftError("No kind by that name: %s" % kind)
url = urljoin(url, "namespaces/%s/%s/" % (namespace, resource))
if name:
url = urljoin(url, name)
if params:
url = urljoin(url, "?%s" % urlencode(params))
return (resource, url)
def _generate_kurl(self, obj, namespace, name=None, params=None):
'''
Generate the required URL by extracting the 'kind' from the
object as well as the namespace.
Args:
obj (obj): Object of the data being passed
namespace (str): k8s namespace
name (str): Name of the object being passed
params (arr): Extra params passed such as timeout=300
Returns:
kind (str): The kind used
url (str): The URL to be used / artifact URL
'''
if 'apiVersion' not in obj.keys():
raise KubeKubernetesError("Error processing object. There is no apiVersion")
if 'kind' not in obj.keys():
raise KubeKubernetesError("Error processing object. There is no kind")
api_version = obj['apiVersion']
kind = obj['kind']
resource = KubeBase.kind_to_resource_name(kind)
if resource in self.k8s_api_resources[api_version]:
if api_version == 'v1':
url = self.k8s_api
else:
url = urljoin(self.k8s_apis, "%s/" % api_version)
else:
raise KubeKubernetesError("No kind by that name: %s" % kind)
url = urljoin(url, "namespaces/%s/%s/" % (namespace, resource))
if name:
url = urljoin(url, name)
if params:
url = urljoin(url, "?%s" % urlencode(params))
return (resource, url)
def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# The configuration data passed in will be .kube/config data, so process is accordingly.
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeOpenshiftError("OpenShift API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
self.oc_api = urljoin(url, "oapi/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
self.api.test_connection(self.oc_api)
# Gather the resource names which will be used for the 'kind' API calls
self.oc_api_resources = self.api.get_resources(self.oc_api)
# Gather what API groups are available
# TODO: refactor this (create function in kubebase.py)
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# Pass in the configuration data (.kube/config object) to the KubeBase
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeKubernetesError("Kubernetes API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
# Gather the resource names which will be used for the 'kind' API calls
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
# Gather what API groups are available
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
class KubeKubernetesClient(object):
def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# Pass in the configuration data (.kube/config object) to the KubeBase
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeKubernetesError("Kubernetes API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
# Gather the resource names which will be used for the 'kind' API calls
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
# Gather what API groups are available
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
def create(self, obj, namespace):
'''
Create an object from the Kubernetes cluster
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace)
self.api.request("post", url, data=obj)
logger.info("%s '%s' successfully created", kind.capitalize(), name)
def delete(self, obj, namespace):
'''
Delete an object from the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
*Note*
Replication controllers must scale to 0 in order to delete pods.
Kubernetes 1.3 will implement server-side cascading deletion, but
until then, it's mandatory to scale to 0
https://github.com/kubernetes/kubernetes/blob/master/docs/proposals/garbage-collection.md
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace, name)
if kind in ['rcs', 'replicationcontrollers']:
self.scale(obj, namespace)
self.api.request("delete", url)
logger.info("%s '%s' successfully deleted", kind.capitalize(), name)
def scale(self, obj, namespace, replicas=0):
'''
By default we scale back down to 0. This function takes an object and scales said
object down to a specified value on the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
'''
patch = [{"op": "replace",
"path": "/spec/replicas",
"value": replicas}]
name = self._get_metadata_name(obj)
_, url = self._generate_kurl(obj, namespace, name)
self.api.request("patch", url, data=patch)
logger.info("'%s' successfully scaled to %s", name, replicas)
def namespaces(self):
'''
Gathers a list of namespaces on the Kubernetes cluster
'''
url = urljoin(self.k8s_api, "namespaces")
ns = self.api.request("get", url)
return ns['items']
def _generate_kurl(self, obj, namespace, name=None, params=None):
'''
Generate the required URL by extracting the 'kind' from the
object as well as the namespace.
Args:
obj (obj): Object of the data being passed
namespace (str): k8s namespace
name (str): Name of the object being passed
params (arr): Extra params passed such as timeout=300
Returns:
kind (str): The kind used
url (str): The URL to be used / artifact URL
'''
if 'apiVersion' not in obj.keys():
raise KubeKubernetesError("Error processing object. There is no apiVersion")
if 'kind' not in obj.keys():
raise KubeKubernetesError("Error processing object. There is no kind")
api_version = obj['apiVersion']
kind = obj['kind']
resource = KubeBase.kind_to_resource_name(kind)
if resource in self.k8s_api_resources[api_version]:
if api_version == 'v1':
url = self.k8s_api
else:
url = urljoin(self.k8s_apis, "%s/" % api_version)
else:
raise KubeKubernetesError("No kind by that name: %s" % kind)
url = urljoin(url, "namespaces/%s/%s/" % (namespace, resource))
if name:
url = urljoin(url, name)
if params:
url = urljoin(url, "?%s" % urlencode(params))
return (resource, url)
@staticmethod
def _get_metadata_name(obj):
'''
This looks at the object and grabs the metadata name of said object
Args:
obj (object): Object file of the artifact
Returns:
name (str): Returns the metadata name of the object
'''
if "metadata" in obj and \
"name" in obj["metadata"]:
name = obj["metadata"]["name"]
else:
raise KubeKubernetesError("Cannot undeploy. There is no"
" name in object metadata "
"object=%s" % obj)
return name
}],
"clusters": [{
"cluster": {
"server": "http://localhost:8080"
},
"name": "dev"
}],
"apiVersion": "v1",
"users": [{
"name": "default",
"user": {
"token": "foobar"
}
}]
}
kubebase = KubeBase(config)
def test_get_resources(httpserver):
content = '{"kind":"APIResourceList","groupVersion":"v1","resources":[{"name":"bindings","namespaced":true,"kind":"Binding"},{"name":"componentstatuses","namespaced":false,"kind":"ComponentStatus"}]}'
httpserver.serve_content(content, code=200, headers=None)
kubebase.get_resources(httpserver.url)
def test_get_groups(httpserver):
content = '{"kind":"APIGroupList","groups":[{"name":"autoscaling","versions":[{"groupVersion":"autoscaling/v1","version":"v1"}],"preferredVersion":{"groupVersion":"autoscaling/v1","version":"v1"},"serverAddressByClientCIDRs":[{"clientCIDR":"0.0.0.0/0","serverAddress":"192.168.1.156:443"}]},{"name":"batch","versions":[{"groupVersion":"batch/v1","version":"v1"}],"preferredVersion":{"groupVersion":"batch/v1","version":"v1"},"serverAddressByClientCIDRs":[{"clientCIDR":"0.0.0.0/0","serverAddress":"192.168.1.156:443"}]},{"name":"extensions","versions":[{"groupVersion":"extensions/v1beta1","version":"v1beta1"}],"preferredVersion":{"groupVersion":"extensions/v1beta1","version":"v1beta1"},"serverAddressByClientCIDRs":[{"clientCIDR":"0.0.0.0/0","serverAddress":"192.168.1.156:443"}]}]}'
httpserver.serve_content(content, code=200, headers=None)
kubebase.get_groups(httpserver.url)
def test_connection(httpserver):
class KubeKubernetesClient(object):
def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# The configuration data passed in will be .kube/config data, so process is accordingly.
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeKubernetesError(
"Kubernetes API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
# Gather the resource names which will be used for the 'kind' API calls
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
# Gather what API groups are available
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
def create(self, obj, namespace):
'''
Create an object from the Kubernetes cluster
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace)
self.api.request("post", url, data=obj)
logger.info("%s '%s' successfully created", kind.capitalize(), name)
def delete(self, obj, namespace):
'''
Delete an object from the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
*Note*
Replication controllers must scale to 0 in order to delete pods.
Kubernetes 1.3 will implement server-side cascading deletion, but
until then, it's mandatory to scale to 0
https://github.com/kubernetes/kubernetes/blob/master/docs/proposals/garbage-collection.md
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace, name)
if kind in ['rcs', 'replicationcontrollers']:
self.scale(obj, namespace)
self.api.request("delete", url)
logger.info("%s '%s' successfully deleted", kind.capitalize(), name)
def scale(self, obj, namespace, replicas=0):
'''
By default we scale back down to 0. This function takes an object and scales said
object down to a specified value on the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
'''
patch = [{
"op": "replace",
"path": "/spec/replicas",
"value": replicas
}]
name = self._get_metadata_name(obj)
_, url = self._generate_kurl(obj, namespace, name)
self.api.request("patch", url, data=patch)
logger.info("'%s' successfully scaled to %s", name, replicas)
def namespaces(self):
'''
Gathers a list of namespaces on the Kubernetes cluster
'''
url = urljoin(self.k8s_api, "namespaces")
ns = self.api.request("get", url)
return ns['items']
def _generate_kurl(self, obj, namespace, name=None, params=None):
'''
Generate the required URL by extracting the 'kind' from the
object as well as the namespace.
Args:
obj (obj): Object of the data being passed
namespace (str): k8s namespace
name (str): Name of the object being passed
params (arr): Extra params passed such as timeout=300
Returns:
kind (str): The kind used
url (str): The URL to be used / artifact URL
'''
if 'apiVersion' not in obj.keys():
raise KubeKubernetesError(
"Error processing object. There is no apiVersion")
if 'kind' not in obj.keys():
raise KubeKubernetesError(
"Error processing object. There is no kind")
api_version = obj['apiVersion']
kind = obj['kind']
resource = KubeBase.kind_to_resource_name(kind)
if resource in self.k8s_api_resources[api_version]:
if api_version == 'v1':
url = self.k8s_api
else:
url = urljoin(self.k8s_apis, "%s/" % api_version)
else:
raise KubeKubernetesError("No kind by that name: %s" % kind)
url = urljoin(url, "namespaces/%s/%s/" % (namespace, resource))
if name:
url = urljoin(url, name)
if params:
url = urljoin(url, "?%s" % urlencode(params))
return (resource, url)
@staticmethod
def _get_metadata_name(obj):
'''
This looks at the object and grabs the metadata name of said object
Args:
obj (object): Object file of the artifact
Returns:
name (str): Returns the metadata name of the object
'''
if "metadata" in obj and \
"name" in obj["metadata"]:
name = obj["metadata"]["name"]
else:
raise KubeKubernetesError("Cannot undeploy. There is no"
" name in object metadata "
"object=%s" % obj)
return name
class KubeOpenshiftClient(object):
def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# The configuration data passed in will be .kube/config data, so process is accordingly.
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeOpenshiftError(
"OpenShift API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
self.oc_api = urljoin(url, "oapi/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
self.api.test_connection(self.oc_api)
# Gather the resource names which will be used for the 'kind' API calls
self.oc_api_resources = self.api.get_resources(self.oc_api)
# Gather what API groups are available
# TODO: refactor this (create function in kubebase.py)
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
def create(self, obj, namespace):
'''
Create an object from the Kubernetes cluster
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace)
# Must process through each object if kind is a 'template'
if kind is "template":
self._process_template(obj, namespace, "create")
else:
self.api.request("post", url, data=obj)
logger.info("%s '%s' successfully created", kind.capitalize(), name)
def delete(self, obj, namespace):
'''
Delete an object from the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
*Note*
Replication controllers must scale to 0 in order to delete pods.
Kubernetes 1.3 will implement server-side cascading deletion, but
until then, it's mandatory to scale to 0
https://github.com/kubernetes/kubernetes/blob/master/docs/proposals/garbage-collection.md
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace, name)
# Must process through each object if kind is a 'template'
if kind is "template":
self._process_template(obj, namespace, "create")
else:
if kind in ['rcs', 'replicationcontrollers']:
self.scale(obj, namespace)
self.api.request("delete", url)
logger.info("%s '%s' successfully deleted", kind.capitalize(), name)
def scale(self, obj, namespace, replicas=0):
'''
By default we scale back down to 0. This function takes an object and scales said
object down to a specified value on the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
'''
patch = [{
"op": "replace",
"path": "/spec/replicas",
"value": replicas
}]
name = self._get_metadata_name(obj)
_, url = self._generate_kurl(obj, namespace, name)
self.api.request("patch", url, data=patch)
logger.info("'%s' successfully scaled to %s", name, replicas)
def namespaces(self):
'''
Gathers a list of namespaces on the Kubernetes cluster
'''
url = urljoin(self.oc_api, "projects")
ns = self.api.request("get", url)
return ns['items']
def _generate_kurl(self, obj, namespace, name=None, params=None):
'''
Generate the required URL by extracting the 'kind' from the
object as well as the namespace.
Args:
obj (obj): Object of the data being passed
namespace (str): k8s namespace
name (str): Name of the object being passed
params (arr): Extra params passed such as timeout=300
Returns:
kind (str): The kind used
url (str): The URL to be used / artifact URL
'''
if 'apiVersion' not in obj.keys():
raise KubeOpenshiftError(
"Error processing object. There is no apiVersion")
if 'kind' not in obj.keys():
raise KubeOpenshiftError(
"Error processing object. There is no kind")
api_version = obj['apiVersion']
kind = obj['kind']
resource = KubeBase.kind_to_resource_name(kind)
if resource in self.k8s_api_resources[api_version]:
if api_version == 'v1':
url = self.k8s_api
else:
url = urljoin(self.k8s_apis, "%s/" % api_version)
elif resource in self.oc_api_resources:
url = self.oc_api
else:
raise KubeOpenshiftError("No kind by that name: %s" % kind)
url = urljoin(url, "namespaces/%s/%s/" % (namespace, resource))
if name:
url = urljoin(url, name)
if params:
url = urljoin(url, "?%s" % urlencode(params))
return (resource, url)
@staticmethod
def _get_metadata_name(obj):
'''
This looks at the object and grabs the metadata name of said object
Args:
obj (object): Object file of the artifact
Returns:
name (str): Returns the metadata name of the object
'''
if "metadata" in obj and \
"name" in obj["metadata"]:
name = obj["metadata"]["name"]
else:
raise KubeOpenshiftError("Cannot undeploy. There is no"
" name in object metadata "
"object=%s" % obj)
return name
# OPENSHIFT-SPECIFIC FUNCTIONS
def extract(self, image, src, dest, namespace, update=True):
"""
Extract contents of a container image from 'src' in container
to 'dest' in host.
Args:
image (str): Name of container image
src (str): Source path in container
dest (str): Destination path in host
update (bool): Update existing destination, if True
"""
if os.path.exists(dest) and not update:
return
cleaned_image_name = Utils.sanitizeName(image)
pod_name = '{}-{}'.format(cleaned_image_name, Utils.getUniqueUUID())
container_name = cleaned_image_name
# Pull (if needed) image and bring up a container from it
# with 'sleep 3600' entrypoint, just to extract content from it
artifact = {
'apiVersion': 'v1',
'kind': 'Pod',
'metadata': {
'name': pod_name
},
'spec': {
'containers': [{
'image': image,
'command': ['sleep', '3600'],
'imagePullPolicy': 'IfNotPresent',
'name': container_name
}],
'restartPolicy':
'Always'
}
}
self.create(artifact, namespace)
try:
self._wait_till_pod_runs(namespace, pod_name, timeout=300)
# Archive content from the container and dump it to tmpfile
tmpfile = '/tmp/atomicapp-{pod}.tar.gz'.format(pod=pod_name)
self._execute(namespace,
pod_name,
container_name,
'tar -cz --directory {} ./'.format('/' + src),
outfile=tmpfile)
finally:
# Delete created pod
self.delete(artifact, namespace)
# Extract archive data
tar = tarfile.open(tmpfile, 'r:gz')
tar.extractall(dest)
def _execute(self, namespace, pod, container, command, outfile=None):
"""
Execute a command in a container in an Openshift pod.
Args:
namespace (str): Namespace
pod (str): Pod name
container (str): Container name inside pod
command (str): Command to execute
outfile (str): Path to output file where results should be dumped
Returns:
Command output (str) or None in case results dumped to output file
"""
args = {
'token':
self.api.token,
'namespace':
namespace,
'pod':
pod,
'container':
container,
'command':
''.join(['command={}&'.format(word) for word in command.split()])
}
url = urljoin(
self.k8s_api, 'namespaces/{namespace}/pods/{pod}/exec?'
'access_token={token}&container={container}&'
'{command}stdout=1&stdin=0&tty=0'.format(**args))
return self.api.websocket_request(url, outfile)
def _process_template(self, obj, namespace, method):
_, url = self._generate_kurl(obj, namespace)
data = self.api.request("post", url, data=obj)
if method is "create":
for o in data[0]['objects']:
name = self._get_metadata_name(o)
_, object_url = self._generate_kurl(o, namespace)
self.api.request("post", object_url, data=o)
logger.debug("Created template object: %s" % name)
elif method is "delete":
for o in data[0]['objects']:
name = self._get_metadata_name(o)
_, object_url = self._generate_kurl(o, namespace, name)
self.api.request("delete", object_url)
logger.debug("Deleted template object: %s" % name)
else:
raise KubeOpenshiftError(
"No method by that name to process template")
logger.debug("Processed object template successfully")
def _get_pod_status(self, namespace, pod):
"""
Get pod status.
Args:
namespace (str): Openshift namespace
pod (str): Pod name
Returns:
Status of pod (str)
Raises:
ProviderFailedException when unable to fetch Pod status.
"""
args = {
'namespace': namespace,
'pod': pod,
'access_token': self.api.token
}
url = urljoin(
self.k8s_api, 'namespaces/{namespace}/pods/{pod}?'
'access_token={access_token}'.format(**args))
data = self.api.request("get", url)
return data['status']['phase'].lower()
def _wait_till_pod_runs(self, namespace, pod, timeout=300):
"""
Wait till pod runs, with a timeout.
Args:
namespace (str): Openshift namespace
pod (str): Pod name
timeout (int): Timeout in seconds.
Raises:
ProviderFailedException on timeout or when the pod goes to
failed state.
"""
now = datetime.datetime.now()
timeout_delta = datetime.timedelta(seconds=timeout)
while datetime.datetime.now() - now < timeout_delta:
status = self.oc.get_pod_status(namespace, pod)
if status == 'running':
break
elif status == 'failed':
raise KubeOpenshiftError(
'Unable to run pod for extracting content: '
'{namespace}/{pod}'.format(namespace=namespace, pod=pod))
time.sleep(1)
if status != 'running':
raise KubeOpenshiftError('Timed out to extract content from pod: '
'{namespace}/{pod}'.format(
namespace=namespace, pod=pod))
class KubeOpenshiftClient(object):
def __init__(self, config):
'''
Args:
config (obj): Object of the configuration data
'''
# The configuration data passed in will be .kube/config data, so process is accordingly.
self.api = KubeBase(config)
# Check the API url
url = self.api.cluster['server']
if not re.match('(?:http|https)://', url):
raise KubeOpenshiftError("OpenShift API URL does not include HTTP or HTTPS")
# Gather what end-points we will be using
self.k8s_api = urljoin(url, "api/v1/")
self.oc_api = urljoin(url, "oapi/v1/")
# Test the connection before proceeding
self.api.test_connection(self.k8s_api)
self.api.test_connection(self.oc_api)
# Gather the resource names which will be used for the 'kind' API calls
self.oc_api_resources = self.api.get_resources(self.oc_api)
# Gather what API groups are available
# TODO: refactor this (create function in kubebase.py)
self.k8s_api_resources = {}
self.k8s_api_resources['v1'] = self.api.get_resources(self.k8s_api)
self.k8s_apis = urljoin(url, "apis/")
# Gather the group names from which resource names will be derived
self.k8s_api_groups = self.api.get_groups(self.k8s_apis)
for (name, versions) in self.k8s_api_groups:
for version in versions:
api = "%s/%s" % (name, version)
url = urljoin(self.k8s_apis, api)
self.k8s_api_resources[api] = self.api.get_resources(url)
def create(self, obj, namespace):
'''
Create an object from the Kubernetes cluster
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace)
# Must process through each object if kind is a 'template'
if kind is "template":
self._process_template(obj, namespace, "create")
else:
self.api.request("post", url, data=obj)
logger.info("%s '%s' successfully created", kind.capitalize(), name)
def delete(self, obj, namespace):
'''
Delete an object from the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
*Note*
Replication controllers must scale to 0 in order to delete pods.
Kubernetes 1.3 will implement server-side cascading deletion, but
until then, it's mandatory to scale to 0
https://github.com/kubernetes/kubernetes/blob/master/docs/proposals/garbage-collection.md
'''
name = self._get_metadata_name(obj)
kind, url = self._generate_kurl(obj, namespace, name)
# Must process through each object if kind is a 'template'
if kind is "template":
self._process_template(obj, namespace, "create")
else:
if kind in ['rcs', 'replicationcontrollers']:
self.scale(obj, namespace)
self.api.request("delete", url)
logger.info("%s '%s' successfully deleted", kind.capitalize(), name)
def scale(self, obj, namespace, replicas=0):
'''
By default we scale back down to 0. This function takes an object and scales said
object down to a specified value on the Kubernetes cluster
Args:
obj (object): Object of the artifact being modified
namesapce (str): Namespace of the kubernetes cluster to be used
replicates (int): Default 0, size of the amount of replicas to scale
'''
patch = [{"op": "replace",
"path": "/spec/replicas",
"value": replicas}]
name = self._get_metadata_name(obj)
_, url = self._generate_kurl(obj, namespace, name)
self.api.request("patch", url, data=patch)
logger.info("'%s' successfully scaled to %s", name, replicas)
def namespaces(self):
'''
Gathers a list of namespaces on the Kubernetes cluster
'''
url = urljoin(self.oc_api, "projects")
ns = self.api.request("get", url)
return ns['items']
def _generate_kurl(self, obj, namespace, name=None, params=None):
'''
Generate the required URL by extracting the 'kind' from the
object as well as the namespace.
Args:
obj (obj): Object of the data being passed
namespace (str): k8s namespace
name (str): Name of the object being passed
params (arr): Extra params passed such as timeout=300
Returns:
kind (str): The kind used
url (str): The URL to be used / artifact URL
'''
if 'apiVersion' not in obj.keys():
raise KubeOpenshiftError("Error processing object. There is no apiVersion")
if 'kind' not in obj.keys():
raise KubeOpenshiftError("Error processing object. There is no kind")
api_version = obj['apiVersion']
kind = obj['kind']
resource = KubeBase.kind_to_resource_name(kind)
if resource in self.k8s_api_resources[api_version]:
if api_version == 'v1':
url = self.k8s_api
else:
url = urljoin(self.k8s_apis, "%s/" % api_version)
else:
raise KubeOpenshiftError("No kind by that name: %s" % kind)
url = urljoin(url, "namespaces/%s/%s/" % (namespace, resource))
if name:
url = urljoin(url, name)
if params:
url = urljoin(url, "?%s" % urlencode(params))
return (resource, url)
@staticmethod
def _get_metadata_name(obj):
'''
This looks at the object and grabs the metadata name of said object
Args:
obj (object): Object file of the artifact
Returns:
name (str): Returns the metadata name of the object
'''
if "metadata" in obj and \
"name" in obj["metadata"]:
name = obj["metadata"]["name"]
else:
raise KubeOpenshiftError("Cannot undeploy. There is no"
" name in object metadata "
"object=%s" % obj)
return name
# OPENSHIFT-SPECIFIC FUNCTIONS
def extract(self, image, src, dest, namespace, update=True):
"""
Extract contents of a container image from 'src' in container
to 'dest' in host.
Args:
image (str): Name of container image
src (str): Source path in container
dest (str): Destination path in host
update (bool): Update existing destination, if True
"""
if os.path.exists(dest) and not update:
return
cleaned_image_name = Utils.sanitizeName(image)
pod_name = '{}-{}'.format(cleaned_image_name, Utils.getUniqueUUID())
container_name = cleaned_image_name
# Pull (if needed) image and bring up a container from it
# with 'sleep 3600' entrypoint, just to extract content from it
artifact = {
'apiVersion': 'v1',
'kind': 'Pod',
'metadata': {
'name': pod_name
},
'spec': {
'containers': [
{
'image': image,
'command': [
'sleep',
'3600'
],
'imagePullPolicy': 'IfNotPresent',
'name': container_name
}
],
'restartPolicy': 'Always'
}
}
self.create(artifact, namespace)
try:
self._wait_till_pod_runs(namespace, pod_name, timeout=300)
# Archive content from the container and dump it to tmpfile
tmpfile = '/tmp/atomicapp-{pod}.tar.gz'.format(pod=pod_name)
self._execute(
namespace, pod_name, container_name,
'tar -cz --directory {} ./'.format('/' + src),
outfile=tmpfile
)
finally:
# Delete created pod
self.delete(artifact, namespace)
# Extract archive data
tar = tarfile.open(tmpfile, 'r:gz')
tar.extractall(dest)
def _execute(self, namespace, pod, container, command,
outfile=None):
"""
Execute a command in a container in an Openshift pod.
Args:
namespace (str): Namespace
pod (str): Pod name
container (str): Container name inside pod
command (str): Command to execute
outfile (str): Path to output file where results should be dumped
Returns:
Command output (str) or None in case results dumped to output file
"""
args = {
'token': self.api.token,
'namespace': namespace,
'pod': pod,
'container': container,
'command': ''.join(['command={}&'.format(word) for word in command.split()])
}
url = urljoin(
self.k8s_api,
'namespaces/{namespace}/pods/{pod}/exec?'
'access_token={token}&container={container}&'
'{command}stdout=1&stdin=0&tty=0'.format(**args))
return self.api.websocket_request(url, outfile)
def _process_template(self, obj, namespace, method):
_, url = self._generate_kurl(obj, namespace)
data = self.api.request("post", url, data=obj)
if method is "create":
for o in data[0]['objects']:
name = self._get_metadata_name(o)
_, object_url = self._generate_kurl(o, namespace)
self.api.request("post", object_url, data=o)
logger.debug("Created template object: %s" % name)
elif method is "delete":
for o in data[0]['objects']:
name = self._get_metadata_name(o)
_, object_url = self._generate_kurl(o, namespace, name)
self.api.request("delete", object_url)
logger.debug("Deleted template object: %s" % name)
else:
raise KubeOpenshiftError("No method by that name to process template")
logger.debug("Processed object template successfully")
def _get_pod_status(self, namespace, pod):
"""
Get pod status.
Args:
namespace (str): Openshift namespace
pod (str): Pod name
Returns:
Status of pod (str)
Raises:
ProviderFailedException when unable to fetch Pod status.
"""
args = {
'namespace': namespace,
'pod': pod,
'access_token': self.api.token
}
url = urljoin(
self.k8s_api,
'namespaces/{namespace}/pods/{pod}?'
'access_token={access_token}'.format(**args))
data = self.api.request("get", url)
return data['status']['phase'].lower()
def _wait_till_pod_runs(self, namespace, pod, timeout=300):
"""
Wait till pod runs, with a timeout.
Args:
namespace (str): Openshift namespace
pod (str): Pod name
timeout (int): Timeout in seconds.
Raises:
ProviderFailedException on timeout or when the pod goes to
failed state.
"""
now = datetime.datetime.now()
timeout_delta = datetime.timedelta(seconds=timeout)
while datetime.datetime.now() - now < timeout_delta:
status = self.oc.get_pod_status(namespace, pod)
if status == 'running':
break
elif status == 'failed':
raise KubeOpenshiftError(
'Unable to run pod for extracting content: '
'{namespace}/{pod}'.format(namespace=namespace,
pod=pod))
time.sleep(1)
if status != 'running':
raise KubeOpenshiftError(
'Timed out to extract content from pod: '
'{namespace}/{pod}'.format(namespace=namespace,
pod=pod))
