def main():
logging.basicConfig(level=logging.INFO)
arguments = parse_args()
interceptor = yandexcloud.RetryInterceptor(
max_retry_count=5, retriable_codes=[grpc.StatusCode.UNAVAILABLE])
if arguments.token:
sdk = yandexcloud.SDK(interceptor=interceptor, token=arguments.token)
else:
with open(arguments.sa_json_path) as infile:
sdk = yandexcloud.SDK(interceptor=interceptor,
service_account_key=json.load(infile))
fill_missing_arguments(sdk, arguments)
instance_id = None
try:
operation = create_instance(sdk, arguments.folder_id, arguments.zone,
arguments.name, arguments.subnet_id)
operation_result = sdk.wait_operation_and_get_result(
operation,
response_type=Instance,
meta_type=CreateInstanceMetadata,
)
instance_id = operation_result.response.id
finally:
if instance_id:
logging.info('Deleting instance {}'.format(instance_id))
operation = delete_instance(sdk, instance_id)
sdk.wait_operation_and_get_result(
operation,
meta_type=DeleteInstanceMetadata,
)
def main():
logging.basicConfig(level=logging.INFO)
arguments = parse_cmd()
if arguments.token:
sdk = yandexcloud.SDK(token=arguments.token, user_agent=USER_AGENT)
else:
with open(arguments.sa_json_path) as infile:
sdk = yandexcloud.SDK(service_account_key=json.load(infile),
user_agent=USER_AGENT)
fill_missing_arguments(sdk, arguments)
resources = common_pb.Resources(
resource_preset_id='s2.micro',
disk_type_id='network-ssd',
)
cluster_id = None
try:
operation_result = create_cluster(
sdk, create_cluster_request(arguments, resources=resources))
cluster_id = operation_result.response.id
change_cluster_description(sdk, cluster_id)
add_subcluster(sdk, cluster_id, arguments, resources=resources)
run_hive_job(sdk, cluster_id=cluster_id)
run_mapreduce_job(sdk,
cluster_id=cluster_id,
bucket=arguments.s3_bucket)
run_spark_job(sdk, cluster_id=cluster_id, bucket=arguments.s3_bucket)
run_pyspark_job(sdk, cluster_id=cluster_id, bucket=arguments.s3_bucket)
finally:
if cluster_id is not None:
delete_cluster(sdk, cluster_id)
def __init__(
self,
# Connection id is deprecated. Use yandex_conn_id instead
connection_id: Optional[str] = None,
yandex_conn_id: Optional[str] = None,
default_folder_id: Union[dict, bool, None] = None,
default_public_ssh_key: Optional[str] = None,
) -> None:
super().__init__()
if connection_id:
warnings.warn(
"Using `connection_id` is deprecated. Please use `yandex_conn_id` parameter.",
DeprecationWarning,
stacklevel=2,
)
self.connection_id = yandex_conn_id or connection_id or self.default_conn_name
self.connection = self.get_connection(self.connection_id)
self.extras = self.connection.extra_dejson
credentials = self._get_credentials()
self.sdk = yandexcloud.SDK(**credentials)
self.default_folder_id = default_folder_id or self._get_field(
'folder_id', False)
self.default_public_ssh_key = default_public_ssh_key or self._get_field(
'public_ssh_key', False)
self.client = self.sdk.client
def main(product_id, sku_id, quantity, timestamp=None, uuid=None):
# NOTE: IAM token will be taken automatically from metadata agent of VM
interceptor = yandexcloud.RetryInterceptor(
max_retry_count=5, retriable_codes=[grpc.StatusCode.UNAVAILABLE])
sdk = yandexcloud.SDK(interceptor=interceptor)
service = sdk.client(ImageProductUsageServiceStub)
request = build_product_usage_write_request(product_id, sku_id, quantity,
timestamp, uuid)
# Step 0. Ensure consumer has all permissions to use the product (validate_only=True)
request.validate_only = True
response = service.Write(request)
if len(response.accepted) == 0:
raise ValueError(
'Unable to provide the service to customer. Reason: %s' %
str(response.rejected))
# Step 1. Provide your service to the customer
business_logic(product_id, sku_id)
# Step 2. Write the product usage to Yandex.Cloud API (validate_only=False)
request.validate_only = False
response = service.Write(request)
if len(response.accepted) == 0:
raise ValueError('Unable to write the product usage. Reason: %s' %
str(response.rejected))
return response
def main():
arguments = parse_cmd()
sdk = yandexcloud.SDK(token=arguments.token)
fill_missing_flags(sdk, arguments)
resources = common_pb.Resources(
resource_preset_id='s2.micro',
disk_size=15 * (1024**3),
disk_type_id='network-ssd',
)
req = create_cluster_request(arguments, resources=resources)
cluster_id = None
try:
cluster = create_cluster(sdk, req)
cluster_id = cluster.id
change_cluster_description(sdk, cluster_id)
add_subcluster(sdk, cluster_id, arguments, resources=resources)
run_hive_job(sdk, cluster_id=cluster_id)
run_mapreduce_job(sdk,
cluster_id=cluster_id,
bucket=arguments.s3_bucket)
run_spark_job(sdk, cluster_id=cluster_id, bucket=arguments.s3_bucket)
run_pyspark_job(sdk, cluster_id=cluster_id, bucket=arguments.s3_bucket)
finally:
if cluster_id is not None:
delete_cluster(sdk, cluster_id)
def get_func(func_id: str) -> Tuple[Function, Optional[str]]:
sdk = yandexcloud.SDK()
client = sdk.client(FunctionServiceStub)
try:
return client.Get(GetFunctionRequest(function_id=func_id)), None
except grpc.RpcError as e:
if hasattr(e, 'details'):
return None, e.details()
return None, json.dumps(e.args)
def get_cluster(cluster_id: str) -> Tuple[Cluster, Optional[str]]:
sdk = yandexcloud.SDK()
client = sdk.client(ClusterServiceStub)
try:
return client.Get(GetClusterRequest(cluster_id=cluster_id)), None
except grpc.RpcError as e:
if hasattr(e, 'details'):
return None, e.details()
return None, json.dumps(e.args)
def stop_cluster(cluster_id: str) -> Optional[str]:
sdk = yandexcloud.SDK()
client = sdk.client(ClusterServiceStub)
try:
client.Stop(StopClusterRequest(cluster_id=cluster_id))
except grpc.RpcError as e:
if hasattr(e, 'details'):
return e.details()
return json.dumps(e.args)
def restart_vm(vm_id: str) -> Optional[str]:
sdk = yandexcloud.SDK()
client = sdk.client(InstanceServiceStub)
try:
client.Restart(RestartInstanceRequest(instance_id=vm_id))
except grpc.RpcError as e:
if hasattr(e, 'details'):
return e.details()
return json.dumps(e.args)
def get_vm(vm_id: str) -> Tuple[Instance, Optional[str]]:
sdk = yandexcloud.SDK()
client = sdk.client(InstanceServiceStub)
try:
return client.Get(GetInstanceRequest(instance_id=vm_id)), None
except grpc.RpcError as e:
if hasattr(e, 'details'):
return None, e.details()
return None, json.dumps(e.args)
def generate_inventory(conf):
sdk = yandexcloud.SDK(service_account_key=conf.service_account)
c = sdk.client(InstanceServiceStub)
l = c.List(ListInstancesRequest(
folder_id=conf['folderId']
))
tags = [k for k in conf['tags'].keys()]
tag_hosts_map = {
tag: [
i.network_interfaces[0].primary_v4_address.one_to_one_nat.address for i in find_by_labels(
l.instances, {'tags': [tag]}
)
] for tag in conf['tags'].keys()
}
def set_host_as_value(var_hosts):
if isinstance(var_hosts, list):
return [set_host_as_value(host) for host in var_hosts]
if any(var_hosts == tag_name for tag_name in tags):
return tag_hosts_map[var_hosts]
if var_hosts.find('[') != -1 and var_hosts.find(']') == len(var_hosts) - 1:
tag_name, index = var_hosts.split('[')
index = int(index[:-1])
if len(tag_hosts_map[tag_name]) <= index:
# FIXME: it seems like an error in the config
return []
return tag_hosts_map[tag_name][index]
def extract_var(var):
if 'value' in var:
return var['value']
return set_host_as_value(var['hosts'])
# extract vars
tag_host_vars_map = {}
for tag in tags:
if 'vars' not in config['tags'][tag] or config['tags'][tag]['vars'] is None:
continue
tag_host_vars_map[tag] = {
var_name: extract_var(config['tags'][tag]['vars'][var_name]) for var_name in config['tags'][tag]['vars']
}
result_inventory = {}
for tag, hosts in tag_hosts_map.items():
hosts_name = tag
if 'hostsName' in config['tags'][tag]:
hosts_name = config['tags'][tag]['hostsName']
result_inventory[hosts_name] = {
'hosts': hosts
}
if tag in tag_host_vars_map:
result_inventory[hosts_name]['vars'] = tag_host_vars_map[tag]
return result_inventory
def __init__(self, connection_id=None, default_folder_id=None, default_public_ssh_key=None):
super().__init__()
self.connection_id = connection_id or 'yandexcloud_default'
self.connection = self.get_connection(self.connection_id)
self.extras = self.connection.extra_dejson
credentials = self._get_credentials()
self.sdk = yandexcloud.SDK(**credentials)
self.default_folder_id = default_folder_id or self._get_field('folder_id', False)
self.default_public_ssh_key = default_public_ssh_key or self._get_field('public_ssh_key', False)
self.client = self.sdk.client
def main():
logging.basicConfig(level=logging.INFO)
arguments = parse_cmd()
if arguments.token:
sdk = yandexcloud.SDK(token=arguments.token)
else:
with open(arguments.sa_json_path) as infile:
sdk = yandexcloud.SDK(service_account_key=json.load(infile))
fill_missing_arguments(sdk, arguments)
cluster_id = None
try:
operation_result = create_cluster(sdk,
create_cluster_request(arguments))
cluster_id = operation_result.response.id
change_cluster_description(sdk, cluster_id)
add_cluster_host(sdk, cluster_id, arguments)
finally:
if cluster_id is not None:
delete_cluster(sdk, cluster_id)
def close_func(func_id: str) -> Optional[str]:
sdk = yandexcloud.SDK()
client = sdk.client(FunctionServiceStub)
try:
client.SetAccessBindings(
SetAccessBindingsRequest(
resource_id=func_id,
access_bindings=[],
))
except grpc.RpcError as e:
if hasattr(e, 'details'):
return e.details()
return json.dumps(e.args)
def init_sdk(self):
'''Init Yandex.Cloud SDK with provided auth method'''
interceptor = yandexcloud.RetryInterceptor(
max_retry_count=self.get_option('api_retry_count'),
retriable_codes=[grpc.StatusCode.UNAVAILABLE])
auth_kind = self.get_option('auth_kind')
if auth_kind == 'serviceaccountfile':
sa_file_path = self.get_option('service_account_file')
sa_file_contents = self.get_option('service_account_contents')
if bool(sa_file_path) == bool(sa_file_contents):
raise AnsibleError(
'Either "service_account_file" or "service_account_contents" must be set '
'when auth_kind is set to "serviceaccountfile"')
if sa_file_path:
try:
with open(sa_file_path, 'r') as f:
sa_file_contents = f.read()
except Exception as e:
raise AnsibleError(
'Error reading Service Account data from file: "{}": {}'
.format(sa_file_path, to_native(e)))
try:
sa = json.loads(sa_file_contents)
except Exception as e:
raise AnsibleError(
'Error reading Service Account data from JSON: {}'.format(
to_native(e)))
self.sdk = yandexcloud.SDK(interceptor=interceptor,
service_account_key=sa)
elif auth_kind == 'oauth':
oauth_token = self.get_option('oauth_token')
if not oauth_token:
raise AnsibleError('oauth_token should be set')
self.sdk = yandexcloud.SDK(interceptor=interceptor,
token=oauth_token)
else:
raise AnsibleError(
'Unknown value for auth_kind: {}'.format(auth_kind))
def handle_funcs(message):
sdk = yandexcloud.SDK()
functions = sdk.client(FunctionServiceStub)
resp = functions.List(ListFunctionsRequest(folder_id=FOLDER))
mu = InlineKeyboardMarkup()
for func in resp.functions:
resp_b = functions.ListAccessBindings(
ListAccessBindingsRequest(resource_id=func.id))
status_emoji = FUNCTION_STATUS_EMOJI[bool(resp_b.access_bindings)]
mu.add(
InlineKeyboardButton(f'{status_emoji} {func.name}',
callback_data=f'func:{func.id}'), )
bot.send_message(message.chat.id, 'выбери функцию', reply_markup=mu)
def main(token, folder_id, zone, name, subnet_id):
interceptor = yandexcloud.RetryInterceptor(max_retry_count=5, retriable_codes=[grpc.StatusCode.UNAVAILABLE])
sdk = yandexcloud.SDK(interceptor=interceptor, token=token)
operation = create_instance(sdk, folder_id, zone, name, subnet_id)
meta = CreateInstanceMetadata()
operation.metadata.Unpack(meta)
print('Creating instance {}'.format(meta.instance_id))
operation = wait_for_operation(sdk, operation)
instance = Instance()
operation.response.Unpack(instance)
print('Deleting instance {}'.format(instance.id))
operation = delete_instance(sdk, instance.id)
wait_for_operation(sdk, operation)
def main():
flags = parse_cmd()
sdk = yandexcloud.SDK(token=flags.token)
fill_missing_flags(sdk, flags)
req = create_cluster_request(flags)
cluster = None
try:
cluster = create_cluster(sdk, req)
change_cluster_description(sdk, cluster)
add_cluster_host(sdk, cluster, flags)
finally:
if cluster is not None:
delete_cluster(sdk, cluster)
def handle_vms(message):
sdk = yandexcloud.SDK()
compute = sdk.client(InstanceServiceStub)
resp = compute.List(ListInstancesRequest(folder_id=FOLDER))
mu = InlineKeyboardMarkup()
text = "выбери ВМ"
for vm in resp.instances:
status_name = Instance.Status.Name(vm.status)
status_emoji = INSTANCE_STATUS_EMOJI[vm.status]
text += f'\n{status_emoji} {vm.name} {status_name}'
if vm.status in (Instance.RUNNING, Instance.PROVISIONING, Instance.STARTING) \
and vm.network_interfaces:
net = vm.network_interfaces[0].primary_v4_address
if net.one_to_one_nat:
text += f' {net.one_to_one_nat.address}'
mu.add(InlineKeyboardButton(vm.name, callback_data=f'vm:{vm.id}'), )
bot.send_message(message.chat.id, text, reply_markup=mu)
def handle_dbs(message):
sdk = yandexcloud.SDK()
clusters = sdk.client(ClusterServiceStub)
resp = clusters.List(ListClustersRequest(folder_id=FOLDER))
mu = InlineKeyboardMarkup()
text = "выбери кластер"
for cluster in resp.clusters:
status_name = Cluster.Status.Name(cluster.status)
status_emoji = CLUSTER_STATUS_EMOJI[cluster.status]
text += f'\n{status_emoji} {cluster.name} {status_name}'
# TODO: строка подключения
# получить список хостов, найти мастера
# получить список бд
mu.add(
InlineKeyboardButton(cluster.name,
callback_data=f'cluster:{cluster.id}'), )
bot.send_message(message.chat.id, text, reply_markup=mu)
def open_func(func_id: str) -> Optional[str]:
sdk = yandexcloud.SDK()
client = sdk.client(FunctionServiceStub)
try:
client.SetAccessBindings(
SetAccessBindingsRequest(
resource_id=func_id,
access_bindings=[
AccessBinding(
role_id='serverless.functions.invoker',
subject=Subject(
id='allUsers',
type='system',
),
),
],
))
except grpc.RpcError as e:
if hasattr(e, 'details'):
return e.details()
return json.dumps(e.args)
def get_sdk():
token = find_token()
return yandexcloud.SDK(token=token)
def sdk(sa_key):
return yandexcloud.SDK(service_account_key=sa_key)
from time import sleep
from io import StringIO
import paramiko
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level=logging.INFO)
logger = logging.getLogger(__name__)
telegram_token = os.environ['TELEGRAM_TOKEN']
telegram_id = int(os.environ['TELEGRAM_USER_ID'])
instance_id = os.environ['CLOUD_INSTANNCE_ID']
updater = Updater(token=telegram_token, use_context=True)
dispatcher = updater.dispatcher
instance_service = yandexcloud.SDK().client(InstanceServiceStub)
def _telegram_send_json(chat_id, message):
return {
'statusCode':
200,
'headers': {
'Content-Type': 'application/json'
},
'body':
json.dumps({
'method': 'sendMessage',
'chat_id': chat_id,
'text': message
}),
def _init_client(self):
sdk = yandexcloud.SDK(token=str(self.get_option('yacloud_token')))
self.instance_service = sdk.client(InstanceServiceStub)
self.folder_service = sdk.client(FolderServiceStub)
self.cloud_service = sdk.client(CloudServiceStub)
def main():
logging.basicConfig(level=logging.INFO)
arguments = parse_cmd()
if arguments.token:
sdk = yandexcloud.SDK(token=arguments.token, user_agent=USER_AGENT)
else:
with open(arguments.sa_json_path) as infile:
sdk = yandexcloud.SDK(service_account_key=json.load(infile),
user_agent=USER_AGENT)
fill_missing_arguments(sdk, arguments)
dataproc = sdk.wrappers.Dataproc(
default_folder_id=arguments.folder_id,
default_public_ssh_key=arguments.ssh_public_key,
)
bucket_for_logs_output = arguments.s3_bucket
services = (
'HDFS',
'YARN',
'MAPREDUCE',
'HIVE',
'SPARK',
)
try:
dataproc.create_cluster(
masternode_resource_preset='s2.micro',
datanode_count=2,
datanode_resource_preset='s2.micro',
subnet_id=arguments.subnet_id,
s3_bucket=bucket_for_logs_output,
service_account_id=arguments.service_account_id,
zone=arguments.zone,
services=services,
log_group_id=arguments.log_group_id,
)
dataproc.update_cluster_description('New cluster description')
dataproc.create_subcluster(
subcluster_type='compute',
name='compute',
hosts_count=1,
resource_preset='s2.micro',
max_hosts_count=2,
cpu_utilization_target=66,
preemptible=True,
)
dataproc.create_mapreduce_job(
main_class='org.apache.hadoop.streaming.HadoopStreaming',
file_uris=[
's3a://data-proc-public/jobs/sources/mapreduce-001/mapper.py',
's3a://data-proc-public/jobs/sources/mapreduce-001/reducer.py'
],
args=[
'-mapper', 'mapper.py', '-reducer', 'reducer.py',
'-numReduceTasks', '1', '-input',
's3a://data-proc-public/jobs/sources/data/cities500.txt.bz2',
'-output', 's3a://{bucket}/dataproc/job/results/{uuid}'.format(
bucket=bucket_for_logs_output, uuid=uuid.uuid4())
],
properties={
'yarn.app.mapreduce.am.resource.mb': '2048',
'yarn.app.mapreduce.am.command-opts': '-Xmx2048m',
'mapreduce.job.maps': '6',
},
)
dataproc.create_hive_job(
query_file_uri=
's3a://data-proc-public/jobs/sources/hive-001/main.sql',
script_variables={
'CITIES_URI':
's3a://data-proc-public/jobs/sources/hive-001/cities/',
'COUNTRY_CODE': 'RU',
})
dataproc.create_spark_job(
name=
'Spark job: Find total urban population in distribution by country',
main_jar_file_uri=
's3a://data-proc-public/jobs/sources/java/dataproc-examples-1.0.jar',
main_class='ru.yandex.cloud.dataproc.examples.PopulationSparkJob',
file_uris=[
's3a://data-proc-public/jobs/sources/data/config.json',
],
archive_uris=[
's3a://data-proc-public/jobs/sources/data/country-codes.csv.zip',
],
jar_file_uris=[
's3a://data-proc-public/jobs/sources/java/icu4j-61.1.jar',
's3a://data-proc-public/jobs/sources/java/commons-lang-2.6.jar',
's3a://data-proc-public/jobs/sources/java/opencsv-4.1.jar',
's3a://data-proc-public/jobs/sources/java/json-20190722.jar'
],
args=[
's3a://data-proc-public/jobs/sources/data/cities500.txt.bz2',
's3a://{bucket}/dataproc/job/results/${{JOB_ID}}'.format(
bucket=bucket_for_logs_output),
],
properties={
'spark.submit.deployMode': 'cluster',
},
packages=['org.slf4j:slf4j-simple:1.7.30'],
repositories=['https://repo1.maven.org/maven2'],
exclude_packages=['com.amazonaws:amazon-kinesis-client'],
)
dataproc.create_pyspark_job(
main_python_file_uri=
's3a://data-proc-public/jobs/sources/pyspark-001/main.py',
python_file_uris=[
's3a://data-proc-public/jobs/sources/pyspark-001/geonames.py',
],
file_uris=[
's3a://data-proc-public/jobs/sources/data/config.json',
],
archive_uris=[
's3a://data-proc-public/jobs/sources/data/country-codes.csv.zip',
],
args=[
's3a://data-proc-public/jobs/sources/data/cities500.txt.bz2',
's3a://{bucket}/jobs/results/${{JOB_ID}}'.format(
bucket=bucket_for_logs_output),
],
jar_file_uris=[
's3a://data-proc-public/jobs/sources/java/dataproc-examples-1.0.jar',
's3a://data-proc-public/jobs/sources/java/icu4j-61.1.jar',
's3a://data-proc-public/jobs/sources/java/commons-lang-2.6.jar',
],
properties={
'spark.submit.deployMode': 'cluster',
},
packages=['org.slf4j:slf4j-simple:1.7.30'],
repositories=['https://repo1.maven.org/maven2'],
exclude_packages=['com.amazonaws:amazon-kinesis-client'],
)
except OperationError:
logging.exception('Operation error:')
finally:
if dataproc.cluster_id is not None:
dataproc.delete_cluster()
