def update_pas_config(request, group_name):
try:
params = request.POST
if not params['metric'] or not params['throughput']:
raise Exception(
"All fields for Predictive Autoscaling Config Must be specified. "
)
data = {}
data['group_name'] = group_name
data["metric"] = params["metric"]
data["throughput"] = int(params["throughput"])
if "pas_state" in params:
data["pas_state"] = "ENABLED"
else:
data["pas_state"] = "DISABLED"
# Reset min size to user defined min size
pas_config = autoscaling_groups_helper.get_pas_config(
request, group_name)
asg_request = {}
asg_request["groupName"] = group_name
asg_request["minSize"] = int(pas_config.get("defined_min_size"))
autoscaling_groups_helper.update_autoscaling(
request, group_name, asg_request)
autoscaling_groups_helper.update_pas_config(request, group_name, data)
return get_pas_config(request, group_name)
except:
log.error(traceback.format_exc())
raise
def get(self, request, group_name):
autoscaling_summary = autoscaling_groups_helper.get_autoscaling_summary(
request, group_name)
asg_status = autoscaling_summary.get("status", "UNKNOWN")
enable_spot = autoscaling_summary.get("enableSpot", False)
envs = environs_helper.get_all_envs_by_group(request, group_name)
disabled_actions = autoscaling_groups_helper.get_disabled_asg_actions(
request, group_name)
pas_config = autoscaling_groups_helper.get_pas_config(
request, group_name)
if "Terminate" in disabled_actions:
scaling_down_event_enabled = False
else:
scaling_down_event_enabled = True
group_info = autoscaling_groups_helper.get_group_info(
request, group_name)
if group_info:
launch_config = group_info.get('launchInfo')
else:
launch_config = None
return render(
request, 'groups/group_details.html', {
"asg_status": asg_status,
"enable_spot": enable_spot,
"group_name": group_name,
"scaling_down_event_enabled": scaling_down_event_enabled,
"envs": envs,
"group_info": group_info,
"launch_config": launch_config,
"pas_enabled":
pas_config['pas_state'] if pas_config else False,
})
def get_asg_config(request, group_name):
asg_summary = autoscaling_groups_helper.get_autoscaling_summary(
request, group_name)
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
instances = groups_helper.get_group_hosts(request, group_name)
group_info = autoscaling_groups_helper.get_group_info(request, group_name)
launch_config = group_info.get("launchInfo")
group_size = len(instances)
policies = autoscaling_groups_helper.TerminationPolicy
if asg_summary.get("spotRatio", None):
asg_summary["spotRatio"] *= 100
if asg_summary.get("sensitivityRatio", None):
asg_summary["sensitivityRatio"] *= 100
scheduled_actions = autoscaling_groups_helper.get_scheduled_actions(
request, group_name)
time_based_asg = False
if len(scheduled_actions) > 0:
time_based_asg = True
content = render_to_string(
"groups/asg_config.tmpl", {
"group_name": group_name,
"asg": asg_summary,
"group_size": group_size,
"terminationPolicies": policies,
"instanceType": launch_config.get("instanceType"),
"time_based_asg": time_based_asg,
"csrf_token": get_token(request),
"pas_config": pas_config,
})
return HttpResponse(json.dumps(content), content_type="application/json")
def get_asg_config(request, group_name):
asg_summary = autoscaling_groups_helper.get_autoscaling_summary(request, group_name)
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
instances = groups_helper.get_group_hosts(request, group_name)
group_info = autoscaling_groups_helper.get_group_info(request, group_name)
launch_config = group_info.get("launchInfo")
group_size = len(instances)
policies = autoscaling_groups_helper.TerminationPolicy
if asg_summary.get("spotRatio", None):
asg_summary["spotRatio"] *= 100
if asg_summary.get("sensitivityRatio", None):
asg_summary["sensitivityRatio"] *= 100
scheduled_actions = autoscaling_groups_helper.get_scheduled_actions(request, group_name)
time_based_asg = False
if len(scheduled_actions) > 0:
time_based_asg = True
content = render_to_string("groups/asg_config.tmpl", {
"group_name": group_name,
"asg": asg_summary,
"group_size": group_size,
"terminationPolicies": policies,
"instanceType": launch_config.get("instanceType"),
"time_based_asg": time_based_asg,
"csrf_token": get_token(request),
"pas_config": pas_config,
})
return HttpResponse(json.dumps(content), content_type="application/json")
def get(self, request, group_name):
asg_cluster = autoscaling_groups_helper.get_group_info(request, group_name)
appNames = baseimages_helper.get_image_names(request, 'AWS')
appNames = sorted(appNames)
is_cmp = False
if asg_cluster:
asg_vm_info = asg_cluster.get("launchInfo")
curr_image = None
if asg_vm_info:
curr_image = baseimages_helper.get_by_provider_name(request, asg_vm_info["imageId"])
if asg_vm_info.get("subnets"):
asg_vm_info["subnetArrays"] = asg_vm_info["subnets"].split(',')
group_info = asg_cluster.get("groupInfo")
group_info = get_group_config_internal(group_info)
#Directly search the cluster name. As long as there exists a cluster, treat this as cmp and hide
#Launch Configuration
basic_cluster_info = clusters_helper.get_cluster(request, group_name)
if basic_cluster_info:
is_cmp = True
else:
asg_vm_info = None
group_info = None
curr_image = None
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
return render(request, 'groups/asg_config.html', {
"asg_vm_config": asg_vm_info,
"app_names": appNames,
"curr_image": curr_image,
"group_config": group_info,
"group_name": group_name,
"pas_config": pas_config,
"is_cmp": is_cmp
})
def get(self, request, group_name):
asg_cluster = autoscaling_groups_helper.get_group_info(request, group_name)
appNames = baseimages_helper.get_image_names(request, 'AWS')
appNames = sorted(appNames)
is_cmp = False
if asg_cluster:
asg_vm_info = asg_cluster.get("launchInfo")
curr_image = None
if asg_vm_info:
curr_image = baseimages_helper.get_by_provider_name(request, asg_vm_info["imageId"])
if asg_vm_info.get("subnets"):
asg_vm_info["subnetArrays"] = asg_vm_info["subnets"].split(',')
group_info = asg_cluster.get("groupInfo")
group_info = get_group_config_internal(group_info)
envs = environs_helper.get_all_envs_by_group(request, group_name)
for env in envs:
basic_cluster_info = clusters_helper.get_cluster(request, env.get('clusterName'))
if basic_cluster_info:
is_cmp = True
else:
asg_vm_info = None
group_info = None
curr_image = None
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
return render(request, 'groups/asg_config.html', {
"asg_vm_config": asg_vm_info,
"app_names": appNames,
"curr_image": curr_image,
"group_config": group_info,
"group_name": group_name,
"pas_config": pas_config,
"is_cmp": is_cmp
})
def get(self, request, group_name):
autoscaling_summary = autoscaling_groups_helper.get_autoscaling_summary(request, group_name)
asg_status = autoscaling_summary.get("status", "UNKNOWN")
enable_spot = autoscaling_summary.get("enableSpot", False)
envs = environs_helper.get_all_envs_by_group(request, group_name)
disabled_actions = autoscaling_groups_helper.get_disabled_asg_actions(request, group_name)
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
if "Terminate" in disabled_actions:
scaling_down_event_enabled = False
else:
scaling_down_event_enabled = True
group_info = autoscaling_groups_helper.get_group_info(request, group_name)
if group_info:
launch_config = group_info.get('launchInfo')
else:
launch_config = None
return render(request, 'groups/group_details.html', {
"asg_status": asg_status,
"enable_spot": enable_spot,
"group_name": group_name,
"scaling_down_event_enabled": scaling_down_event_enabled,
"envs": envs,
"group_info": group_info,
"launch_config": launch_config,
"pas_enabled": pas_config['pas_state'] if pas_config else False,
})
def get(self, request, group_name):
asg_cluster = autoscaling_groups_helper.get_group_info(request, group_name)
appNames = baseimages_helper.get_image_names(request, 'AWS')
appNames = sorted(appNames)
is_cmp = False
if asg_cluster:
asg_vm_info = asg_cluster.get("launchInfo")
curr_image = None
if asg_vm_info:
curr_image = baseimages_helper.get_by_provider_name(request, asg_vm_info["imageId"])
if asg_vm_info.get("subnets"):
asg_vm_info["subnetArrays"] = asg_vm_info["subnets"].split(',')
group_info = asg_cluster.get("groupInfo")
group_info = get_group_config_internal(group_info)
#Directly search the cluster name. As long as there exists a cluster, treat this as cmp and hide
#Launch Configuration
basic_cluster_info = clusters_helper.get_cluster(request, group_name)
if basic_cluster_info:
is_cmp = True
else:
asg_vm_info = None
group_info = None
curr_image = None
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
return render(request, 'groups/asg_config.html', {
"asg_vm_config": asg_vm_info,
"app_names": appNames,
"curr_image": curr_image,
"group_config": group_info,
"group_name": group_name,
"pas_config": pas_config,
"is_cmp": is_cmp
})
def get_pas_config(request, group_name):
try:
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
html = render_to_string('groups/pase_config.tmpl', {
"group_name": group_name,
"pas_config": pas_config,
"csrf_token": get_token(request),
})
except:
log.error(traceback.format_exc())
raise
return HttpResponse(json.dumps(html), content_type="application/json")
def get_pas_config(request, group_name):
try:
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
html = render_to_string('groups/pase_config.tmpl', {
"group_name": group_name,
"pas_config": pas_config,
"csrf_token": get_token(request),
})
except:
log.error(traceback.format_exc())
raise
return HttpResponse(json.dumps(html), content_type="application/json")
def get_pas_metrics(request, group_name):
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
util_data = {}
if pas_config['pas_state'] != 'ENABLED':
return HttpResponse(json.dumps(util_data), content_type="application/json")
try:
arcee_size_points = autoscaling_metrics_helper.get_pas_metrics(request, group_name,
settings.DEFAULT_START_TIME, 'PREDICTED')
json_data3 = []
for data_point in arcee_size_points:
timestamp, value = data_point["timestamp"], data_point["value"]
json_data3.append([timestamp, value])
util_data['arcee'] = json_data3
except:
log.error(traceback.format_exc())
return HttpResponse(json.dumps(util_data), content_type="application/json")
def get(self, request, group_name):
asg_cluster = autoscaling_groups_helper.get_group_info(
request, group_name)
appNames = baseimages_helper.get_image_names(request, 'AWS')
appNames = sorted(appNames)
is_cmp = False
if asg_cluster:
asg_vm_info = asg_cluster.get("launchInfo")
curr_image = None
if asg_vm_info:
curr_image = baseimages_helper.get_by_provider_name(
request, asg_vm_info["imageId"])
if asg_vm_info.get("subnets"):
asg_vm_info["subnetArrays"] = asg_vm_info["subnets"].split(
',')
group_info = asg_cluster.get("groupInfo")
group_info = get_group_config_internal(group_info)
envs = environs_helper.get_all_envs_by_group(request, group_name)
for env in envs:
basic_cluster_info = clusters_helper.get_cluster(
request, env.get('clusterName'))
if basic_cluster_info:
is_cmp = True
else:
asg_vm_info = None
group_info = None
curr_image = None
pas_config = autoscaling_groups_helper.get_pas_config(
request, group_name)
return render(
request, 'groups/asg_config.html', {
"asg_vm_config": asg_vm_info,
"app_names": appNames,
"curr_image": curr_image,
"group_config": group_info,
"group_name": group_name,
"pas_config": pas_config,
"is_cmp": is_cmp
})
def update_pas_config(request, group_name):
try:
params = request.POST
if not params['metric'] or not params['throughput']:
raise Exception("All fields for Predictive Autoscaling Config Must be specified. ")
data = {}
data['group_name'] = group_name
data["metric"] = params["metric"]
data["throughput"] = int(params["throughput"])
if "pas_state" in params:
data["pas_state"] = "ENABLED"
else:
data["pas_state"] = "DISABLED"
# Reset min size to user defined min size
pas_config = autoscaling_groups_helper.get_pas_config(request, group_name)
asg_request = {}
asg_request["groupName"] = group_name
asg_request["minSize"] = int(pas_config.get("defined_min_size"))
autoscaling_groups_helper.update_autoscaling(request, group_name, asg_request)
autoscaling_groups_helper.update_pas_config(request, group_name, data)
return get_pas_config(request, group_name)
except:
log.error(traceback.format_exc())
raise
