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):
asg_status = groups_helper.get_autoscaling_status(request, group_name)
group_size_datum = \
autoscaling_metrics_helper.get_asg_size_metric(request, group_name,
settings.DEFAULT_START_TIME)
spot_group_name = "{}-spot".format(group_name)
alarm_infos = groups_helper.get_alarms(request, group_name)
spot_alarm_infos = groups_helper.get_alarms(request, spot_group_name)
enable_policy = False
if alarm_infos and len(alarm_infos) > 0:
enable_policy = True
removeIdx = []
if alarm_infos:
alarm_infos = sorted(alarm_infos, key=lambda info: info["metricSource"])
for idx in xrange(len(alarm_infos)):
alarm_info = alarm_infos[idx]
alarm_infos[idx]["actionType2"] = "UNKNOWN"
alarm_infos[idx]["threshold2"] = -1
if spot_alarm_infos:
alarm_infos[idx]["spotActionType"] = spot_alarm_infos[idx]["actionType"]
alarm_infos[idx]["spotThreshold"] = spot_alarm_infos[idx]["threshold"]
alarm_infos[idx]["spotActionType2"] = "UNKNOWN"
alarm_infos[idx]["spotThreshold2"] = -1
else:
alarm_infos[idx]["spotActionType"] = "UNKNOWN"
alarm_infos[idx]["spotThreshold"] = -1
alarm_infos[idx]["spotActionType2"] = "UNKNOWN"
alarm_infos[idx]["spotThreshold2"] = -1
metric_name = alarm_info["metricSource"]
if idx > 0 and metric_name == alarm_infos[idx - 1]["metricSource"]:
alarm_infos[idx - 1]["actionType2"] = alarm_info["actionType"]
alarm_infos[idx - 1]["threshold2"] = alarm_info["threshold"]
if spot_alarm_infos:
alarm_infos[idx - 1]["spotActionType2"] = spot_alarm_infos[idx]["actionType"]
alarm_infos[idx - 1]["spotThreshold2"] = spot_alarm_infos[idx]["threshold"]
removeIdx.append(idx)
else:
alarm_info["metric_datum"] = \
autoscaling_metrics_helper.get_metric_data(request, group_name,
metric_name,
settings.DEFAULT_START_TIME)
for offset, idx in enumerate(removeIdx):
idx -= offset
del alarm_infos[idx]
envs = environs_helper.get_all_envs_by_group(request, group_name)
scaling_down_event_enabled = groups_helper.get_scaling_down_event_status(request, group_name)
return render(request, 'groups/group_details.html', {
"asg_status": asg_status,
"group_name": group_name,
"enable_policy": enable_policy,
"alarm_infos": alarm_infos,
"spot_alarm_infos": spot_alarm_infos,
"group_size_datum": group_size_datum,
"scaling_down_event_enabled": scaling_down_event_enabled,
"envs": envs,
})
def get_latency_metrics(request, group_name):
envs = environs_helper.get_all_envs_by_group(request, group_name)
launch_config = autoscaling_groups_helper.get_group_info(request, group_name)
util_data = {}
stage_names = []
if len(envs) == 0:
return HttpResponse(json.dumps(util_data), content_type="application/json")
try:
for env in envs:
name = "{}.{}".format(env["envName"], env["stageName"])
stage_names.append(name)
metric_name1 = "launch_latency.{}".format(name)
launch_data_points = autoscaling_metrics_helper.get_latency_data(request, env["id"],
"LAUNCH", settings.DEFAULT_START_TIME)
json_data = []
for data_point in launch_data_points:
timestamp, value = data_point["timestamp"], data_point["value"] / 1000
json_data.append([timestamp, value])
util_data[metric_name1] = json_data
metric_name2 = "deploy_latency.{}".format(name)
deploy_data_points = autoscaling_metrics_helper.get_latency_data(request, env["id"],
"DEPLOY", settings.DEFAULT_START_TIME)
json_data2 = []
for data_point in deploy_data_points:
timestamp, value = data_point["timestamp"], data_point["value"] / 1000
json_data2.append([timestamp, value])
util_data[metric_name2] = json_data2
util_data["stage_names"] = stage_names
util_data["launch_latency_th"] = launch_config.get("groupInfo")["launchLatencyTh"]
except:
log.error(traceback.format_exc())
return HttpResponse(json.dumps(util_data), content_type="application/json")
def get(self, request, group_name):
asg_cluster = groups_helper.get_group_info(request, group_name)
appNames = images_helper.get_all_app_names(request)
appNames = sorted(appNames)
is_cmp = False
if asg_cluster:
asg_vm_info = asg_cluster.get("launchInfo")
if asg_vm_info and asg_vm_info.get("subnets"):
asg_vm_info["subnetArrays"] = asg_vm_info["subnets"].split(',')
group_info = asg_cluster.get("groupInfo")
curr_image = images_helper.get_image_by_id(request, asg_vm_info["imageId"])
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('envName'), env.get('stageName'))
if basic_cluster_info:
is_cmp = True
else:
asg_vm_info = None
group_info = None
curr_image = None
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,
"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 = groups_helper.get_group_info(request, group_name)
appNames = images_helper.get_all_app_names(request)
appNames = sorted(appNames)
is_cmp = False
if asg_cluster:
asg_vm_info = asg_cluster.get("launchInfo")
if asg_vm_info and asg_vm_info.get("subnets"):
asg_vm_info["subnetArrays"] = asg_vm_info["subnets"].split(',')
group_info = asg_cluster.get("groupInfo")
curr_image = images_helper.get_image_by_id(request,
asg_vm_info["imageId"])
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('envName'), env.get('stageName'))
if basic_cluster_info:
is_cmp = True
else:
asg_vm_info = None
group_info = None
curr_image = None
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,
"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_status = groups_helper.get_autoscaling_status(request, group_name)
envs = environs_helper.get_all_envs_by_group(request, group_name)
scaling_down_event_enabled = groups_helper.get_scaling_down_event_status(request, group_name)
return render(request, 'groups/group_details.html', {
"asg_status": asg_status,
"group_name": group_name,
"scaling_down_event_enabled": scaling_down_event_enabled,
"envs": envs,
})
def get(self, request, group_name):
autoscaling_summary = 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)
scaling_down_event_enabled = groups_helper.get_scaling_down_event_status(request, group_name)
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,
})
def get(self, request, group_name):
autoscaling_summary = 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)
scaling_down_event_enabled = groups_helper.get_scaling_down_event_status(request, group_name)
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,
})
def get(self, request, group_name):
asg_status = groups_helper.get_autoscaling_status(request, group_name)
group_size_datum = \
autoscaling_metrics_helper.get_asg_size_metric(request, group_name,
settings.DEFAULT_START_TIME)
alarm_infos = groups_helper.get_alarms(request, group_name)
enable_policy = False
if alarm_infos and len(alarm_infos) > 0:
enable_policy = True
removeIdx = []
if alarm_infos:
for idx in xrange(len(alarm_infos)):
alarm_info = alarm_infos[idx]
alarm_infos[idx]["actionType2"] = "UNKNOWN"
alarm_infos[idx]["threshold2"] = -1
metric_name = alarm_info["metricSource"]
if idx > 0 and metric_name == alarm_infos[idx -
1]["metricSource"]:
alarm_infos[idx -
1]["actionType2"] = alarm_info["actionType"]
alarm_infos[idx -
1]["threshold2"] = alarm_info["threshold"]
removeIdx.append(idx)
else:
alarm_info["metric_datum"] = \
autoscaling_metrics_helper.get_metric_data(request, group_name,
metric_name,
settings.DEFAULT_START_TIME)
for offset, idx in enumerate(removeIdx):
idx -= offset
del alarm_infos[idx]
envs = environs_helper.get_all_envs_by_group(request, group_name)
scaling_down_event_enabled = groups_helper.get_scaling_down_event_status(
request, group_name)
return render(
request, 'groups/group_details.html', {
"asg_status": asg_status,
"group_name": group_name,
"enable_policy": enable_policy,
"alarm_infos": alarm_infos,
"group_size_datum": group_size_datum,
"scaling_down_event_enabled": scaling_down_event_enabled,
"envs": envs,
})
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)
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)
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,
})
def get_group_config(request, group_name):
try:
group_info = groups_helper.get_group_info(request, group_name)
group_config = group_info.get("groupInfo")
group_config = get_group_config_internal(group_config)
is_cmp = False
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('envName'), env.get('stageName'))
if basic_cluster_info:
is_cmp = True
html = render_to_string('groups/group_config.tmpl', {
"group_name": group_name,
"config": group_config,
"is_cmp": is_cmp,
"csrf_token": get_token(request),
})
except:
log.error(traceback.format_exc())
raise
return HttpResponse(json.dumps(html), content_type="application/json")
def get_group_config(request, group_name):
try:
group_info = autoscaling_groups_helper.get_group_info(request, group_name)
group_config = group_info.get("groupInfo")
group_config = get_group_config_internal(group_config)
is_cmp = False
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
html = render_to_string('groups/group_config.tmpl', {
"group_name": group_name,
"config": group_config,
"is_cmp": is_cmp,
"csrf_token": get_token(request),
})
except:
log.error(traceback.format_exc())
raise
return HttpResponse(json.dumps(html), 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 get_launch_rate(request, group_name):
envs = environs_helper.get_all_envs_by_group(request, group_name)
util_data = {}
if len(envs) == 0:
return HttpResponse(json.dumps(util_data), content_type="application/json")
try:
util_data["metric_names"] = []
for env in envs:
metric_name = "mimmax:5m-mimmax:autoscaling.{}.{}.first_deploy.failed".format(
env["envName"], env["stageName"])
rate_data_points = autoscaling_metrics_helper.get_raw_metrics(request, metric_name,
settings.DEFAULT_START_TIME)
json_data = []
for data_point in rate_data_points:
timestamp, value = data_point["timestamp"], data_point["value"]
json_data.append([timestamp, value])
util_data[metric_name] = json_data
util_data["metric_names"].append(metric_name)
except:
log.error(traceback.format_exc())
return HttpResponse(json.dumps(util_data), content_type="application/json")
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)
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)
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,
})
def get_envs(request, group_name):
envs = environs_helper.get_all_envs_by_group(request, group_name)
html = render_to_string('groups/group_envs.tmpl', {
"envs": envs,
})
return HttpResponse(html)
def get_envs(request, group_name):
envs = environs_helper.get_all_envs_by_group(request, group_name)
html = render_to_string('groups/group_envs.tmpl', {
"envs": envs,
})
return HttpResponse(html)
