moto/moto/batch/responses.py
2022-02-20 19:53:25 -01:00

320 lines
10 KiB
Python

from moto.core.responses import BaseResponse
from .models import batch_backends
from urllib.parse import urlsplit, unquote
from .exceptions import AWSError
import json
class BatchResponse(BaseResponse):
def _error(self, code, message):
return json.dumps({"__type": code, "message": message}), dict(status=400)
@property
def batch_backend(self):
"""
:return: Batch Backend
:rtype: moto.batch.models.BatchBackend
"""
return batch_backends[self.region]
@property
def json(self):
if self.body is None or self.body == "":
self._json = {}
elif not hasattr(self, "_json"):
try:
self._json = json.loads(self.body)
except ValueError:
print()
return self._json
def _get_param(self, param_name, if_none=None):
val = self.json.get(param_name)
if val is not None:
return val
return if_none
def _get_action(self):
# Return element after the /v1/*
return urlsplit(self.uri).path.lstrip("/").split("/")[1]
# CreateComputeEnvironment
def createcomputeenvironment(self):
compute_env_name = self._get_param("computeEnvironmentName")
compute_resource = self._get_param("computeResources")
service_role = self._get_param("serviceRole")
state = self._get_param("state")
_type = self._get_param("type")
try:
name, arn = self.batch_backend.create_compute_environment(
compute_environment_name=compute_env_name,
_type=_type,
state=state,
compute_resources=compute_resource,
service_role=service_role,
)
except AWSError as err:
return err.response()
result = {"computeEnvironmentArn": arn, "computeEnvironmentName": name}
return json.dumps(result)
# DescribeComputeEnvironments
def describecomputeenvironments(self):
compute_environments = self._get_param("computeEnvironments")
max_results = self._get_param("maxResults") # Ignored, should be int
next_token = self._get_param("nextToken") # Ignored
envs = self.batch_backend.describe_compute_environments(
compute_environments, max_results=max_results, next_token=next_token
)
result = {"computeEnvironments": envs}
return json.dumps(result)
# DeleteComputeEnvironment
def deletecomputeenvironment(self):
compute_environment = self._get_param("computeEnvironment")
try:
self.batch_backend.delete_compute_environment(compute_environment)
except AWSError as err:
return err.response()
return ""
# UpdateComputeEnvironment
def updatecomputeenvironment(self):
compute_env_name = self._get_param("computeEnvironment")
compute_resource = self._get_param("computeResources")
service_role = self._get_param("serviceRole")
state = self._get_param("state")
try:
name, arn = self.batch_backend.update_compute_environment(
compute_environment_name=compute_env_name,
compute_resources=compute_resource,
service_role=service_role,
state=state,
)
except AWSError as err:
return err.response()
result = {"computeEnvironmentArn": arn, "computeEnvironmentName": name}
return json.dumps(result)
# CreateJobQueue
def createjobqueue(self):
compute_env_order = self._get_param("computeEnvironmentOrder")
queue_name = self._get_param("jobQueueName")
priority = self._get_param("priority")
state = self._get_param("state")
tags = self._get_param("tags")
try:
name, arn = self.batch_backend.create_job_queue(
queue_name=queue_name,
priority=priority,
state=state,
compute_env_order=compute_env_order,
tags=tags,
)
except AWSError as err:
return err.response()
result = {"jobQueueArn": arn, "jobQueueName": name}
return json.dumps(result)
# DescribeJobQueues
def describejobqueues(self):
job_queues = self._get_param("jobQueues")
max_results = self._get_param("maxResults") # Ignored, should be int
next_token = self._get_param("nextToken") # Ignored
queues = self.batch_backend.describe_job_queues(
job_queues, max_results=max_results, next_token=next_token
)
result = {"jobQueues": queues}
return json.dumps(result)
# UpdateJobQueue
def updatejobqueue(self):
compute_env_order = self._get_param("computeEnvironmentOrder")
queue_name = self._get_param("jobQueue")
priority = self._get_param("priority")
state = self._get_param("state")
try:
name, arn = self.batch_backend.update_job_queue(
queue_name=queue_name,
priority=priority,
state=state,
compute_env_order=compute_env_order,
)
except AWSError as err:
return err.response()
result = {"jobQueueArn": arn, "jobQueueName": name}
return json.dumps(result)
# DeleteJobQueue
def deletejobqueue(self):
queue_name = self._get_param("jobQueue")
self.batch_backend.delete_job_queue(queue_name)
return ""
# RegisterJobDefinition
def registerjobdefinition(self):
container_properties = self._get_param("containerProperties")
def_name = self._get_param("jobDefinitionName")
parameters = self._get_param("parameters")
tags = self._get_param("tags")
retry_strategy = self._get_param("retryStrategy")
_type = self._get_param("type")
timeout = self._get_param("timeout")
platform_capabilities = self._get_param("platformCapabilities")
propagate_tags = self._get_param("propagateTags")
try:
name, arn, revision = self.batch_backend.register_job_definition(
def_name=def_name,
parameters=parameters,
_type=_type,
tags=tags,
retry_strategy=retry_strategy,
container_properties=container_properties,
timeout=timeout,
platform_capabilities=platform_capabilities,
propagate_tags=propagate_tags,
)
except AWSError as err:
return err.response()
result = {
"jobDefinitionArn": arn,
"jobDefinitionName": name,
"revision": revision,
}
return json.dumps(result)
# DeregisterJobDefinition
def deregisterjobdefinition(self):
queue_name = self._get_param("jobDefinition")
self.batch_backend.deregister_job_definition(queue_name)
return ""
# DescribeJobDefinitions
def describejobdefinitions(self):
job_def_name = self._get_param("jobDefinitionName")
job_def_list = self._get_param("jobDefinitions")
max_results = self._get_param("maxResults")
next_token = self._get_param("nextToken")
status = self._get_param("status")
job_defs = self.batch_backend.describe_job_definitions(
job_def_name, job_def_list, status, max_results, next_token
)
result = {"jobDefinitions": [job.describe() for job in job_defs]}
return json.dumps(result)
# SubmitJob
def submitjob(self):
container_overrides = self._get_param("containerOverrides")
depends_on = self._get_param("dependsOn")
job_def = self._get_param("jobDefinition")
job_name = self._get_param("jobName")
job_queue = self._get_param("jobQueue")
parameters = self._get_param("parameters")
retries = self._get_param("retryStrategy")
timeout = self._get_param("timeout")
try:
name, job_id = self.batch_backend.submit_job(
job_name,
job_def,
job_queue,
parameters=parameters,
retries=retries,
depends_on=depends_on,
container_overrides=container_overrides,
timeout=timeout,
)
except AWSError as err:
return err.response()
result = {"jobId": job_id, "jobName": name}
return json.dumps(result)
# DescribeJobs
def describejobs(self):
jobs = self._get_param("jobs")
try:
return json.dumps({"jobs": self.batch_backend.describe_jobs(jobs)})
except AWSError as err:
return err.response()
# ListJobs
def listjobs(self):
job_queue = self._get_param("jobQueue")
job_status = self._get_param("jobStatus")
max_results = self._get_param("maxResults")
next_token = self._get_param("nextToken")
try:
jobs = self.batch_backend.list_jobs(
job_queue, job_status, max_results, next_token
)
except AWSError as err:
return err.response()
result = {"jobSummaryList": [job.describe_short() for job in jobs]}
return json.dumps(result)
# TerminateJob
def terminatejob(self):
job_id = self._get_param("jobId")
reason = self._get_param("reason")
try:
self.batch_backend.terminate_job(job_id, reason)
except AWSError as err:
return err.response()
return ""
# CancelJob
def canceljob(self,):
job_id = self._get_param("jobId")
reason = self._get_param("reason")
self.batch_backend.cancel_job(job_id, reason)
return ""
def tags(self):
resource_arn = unquote(self.path).split("/v1/tags/")[-1]
tags = self._get_param("tags")
if self.method == "POST":
self.batch_backend.tag_resource(resource_arn, tags)
return ""
if self.method == "GET":
tags = self.batch_backend.list_tags_for_resource(resource_arn)
return json.dumps({"tags": tags})
if self.method == "DELETE":
tag_keys = self.querystring.get("tagKeys")
self.batch_backend.untag_resource(resource_arn, tag_keys)