def plot(dt_start, dt_end, metric):
dt_dir = utils.get_dt_dir(dt_start, dt_end)
str_dt = utils.get_str_dt(dt_start, dt_end)
utils.create_dirs([
"{}/{}".format(script_dir, str_dt),
"{}/{}/{}".format(script_dir, str_dt, metric)
])
for server, mac, in_path in utils.iter_server_mac(dt_dir, True):
out_file_name = utils.get_out_file_name(server, mac, dt_start, dt_end)
out_path = "{}/{}/{}/{}.png".format(script_dir, str_dt, metric,
out_file_name)
# comparison between not filtered and filtered
ts = TimeSeries(in_path, metric, dt_start, dt_end)
ts_filter = TimeSeries(in_path, metric, dt_start, dt_end)
ts_filter.percentile_filter(win_len=5, p=0.5)
# if len(ts_filter.y) > 100:
# plot_procedures.plot_stl_decomposition(ts_filter,
# "median_filtered",
# out_path)
# comparison between with cross traffic and without
# ts = TimeSeries(in_path, metric, dt_start, dt_end)
# ts.percentile_filter(win_len=13, p=0.5)
# ts_filter = TimeSeries(in_path, metric, dt_start, dt_end,
# cross_traffic_thresh=0)
# ts_filter.percentile_filter(win_len=13, p=0.5)
# plot_procedures.plot_ts_share_x(ts, ts_filter, out_path,
# compress=True,
# plot_type2="scatter",
# title1="raw",
# title2="median filtered",
# default_ylabel=True,
# xlabel="$i$")
ylabel = plot_procedures.get_default_ylabel(ts)
plot_procedures.plot_ts(ts_filter,
out_path,
ylabel=ylabel,
compress=False,
title="median filtered")
def plot_per_node(dt_start, dt_end, metric, only_unique_traceroute):
dt_dir = utils.get_dt_dir(dt_start, dt_end)
str_dt = utils.get_str_dt(dt_start, dt_end)
utils.create_dirs([
"{}/plots/".format(script_dir), "{}/plots/nodes".format(script_dir),
"{}/plots/nodes/{}".format(script_dir, str_dt),
"{}/plots/nodes/{}/{}".format(script_dir, str_dt, metric)
])
valid_nodes = read_input.get_valid_nodes()
mac_node = read_input.get_mac_node()
macs_unique_traceroute = read_input.get_macs_traceroute_filter(
dt_start, dt_end, "filtered")
for server, mac, in_path in utils.iter_server_mac(dt_dir, True):
if only_unique_traceroute and (mac not in macs_unique_traceroute):
continue
if mac_node[mac] in valid_nodes:
utils.create_dirs([
"{}/plots/nodes/{}/{}/{}".format(script_dir, str_dt, metric,
mac_node[mac])
])
out_file_name = utils.get_out_file_name(server, mac, dt_start,
dt_end)
out_path = ("{}/plots/nodes/{}/{}/{}/{}.png".format(
script_dir, str_dt, metric, mac_node[mac], out_file_name))
ts = TimeSeries(in_path, metric, dt_start, dt_end)
ts_filter = TimeSeries(in_path, metric, dt_start, dt_end)
ts_filter.percentile_filter(win_len=13, p=0.5)
plot_procedures.plot_ts_share_x(ts,
ts_filter,
out_path,
compress=False,
plot_type2="scatter")
