def fetch_dp(uid, datapoint):
"""Function for handling /fetch/agent/<uid>/<datapoint> route.
Args:
uid: Unique Identifier of an Infoset Agent
Returns:
JSON response of all data under specific datapoint
"""
# TODO implement start and stop times
config = infoset.config['GLOBAL_CONFIG']
data = GetIDX(datapoint, config)
data_values = data.everything()
# Gets all associated datapoints
"""
x_axis = []
y_axis = []
for key, value in data_values.items():
x_axis.append(key)
y_axis.append(value)
np_x_axis = np.asarray(x_axis)
np_y_axis = np.asarray(y_axis)
plt.plot(np_x_axis, np_y_axis)
plt.savefig("/home/proxima/public_html/graph.png")
"""
return jsonify(data_values)
def fetch_dp(uid, datapoint):
"""Function for handling /fetch/agent/<uid>/<datapoint> route.
Args:
uid: Unique Identifier of an Infoset Agent
Returns:
JSON response of all data under specific datapoint
"""
# TODO implement start and stop times
data = GetIDX(datapoint)
data_values = data.everything()
# Return
return jsonify(data_values)
def fetch_graph(uid, datapoint):
"""Create graph.
Args:
uid: Agent uid
datpoint: Datapoint idx
Returns:
None
"""
# Getting start and stop parameters from url
start = request.args.get('start')
stop = request.args.get('stop')
# Get data as dict
datapointer = GetIDX(datapoint, start=start, stop=stop)
data = datapointer.chart_everything()
# Return
return jsonify(data)
def fetch_graph_stacked(uid, stack_type):
"""Process stacked charts.
Args:
uid: Agent uid
datpoint: Datapoint idx
Returns:
Image of Stacked Chart
"""
# Define key variables
# We are only interested in the infoset server host idx for now.
idx_host = 1
labels = {}
# Define label values
labels['cpu'] = [
'cpu_times_percent_iowait',
'cpu_times_percent_irq',
'cpu_times_percent_ctx_switches',
'cpu_times_percent_syscalls',
'cpu_times_percent_interrupts',
'cpu_times_percent_soft_interrupts',
'cpu_times_percent_softirq',
'cpu_times_percent_steal',
'cpu_times_percent_user',
'cpu_times_percent_nice',
'cpu_times_percent_system',
'cpu_times_percent_idle',
'cpu_times_percent_guest',
'cpu_times_percent_guest_nice'
]
labels['memory'] = [
'memory_buffers',
'memory_cached',
'memory_shared',
'memory_available',
'memory_free'
]
labels['load'] = [
'load_average_01min',
'load_average_05min',
'load_average_15min'
]
labels['network'] = [
'network_bytes_recv',
'network_bytes_sent'
]
# Get Agent data
idx_agent = db_agent.GetUID(uid).idx()
# Determine what kind of stacked chart to make
# Memory, Load, Bytes In/Out, CPU
if 'memory' in stack_type:
# Do memory
datapoint_list = _datapoint_labels(
idx_host, idx_agent, labels['memory'])
elif 'cpu' in stack_type:
# Do cpu
datapoint_list = _datapoint_labels(
idx_host, idx_agent, labels['cpu'])
elif 'load' in stack_type:
# Do load
datapoint_list = _datapoint_labels(
idx_host, idx_agent, labels['load'])
elif 'network' in stack_type:
# Do network
datapoint_list = _datapoint_labels(
idx_host, idx_agent, labels['network'])
elif 'disk' in stack_type:
# Do disk
pass
values = []
for datapoint in datapoint_list:
get_idx = GetIDX(datapoint)
data = get_idx.chart_everything()
values.extend(data)
return jsonify(values)