import re
import logging
-from collections import OrderedDict
-from copy import deepcopy
-
import hdrh.histogram
import hdrh.codec
import pandas as pd
import plotly.offline as ploff
import plotly.graph_objs as plgo
+from collections import OrderedDict
+from copy import deepcopy
+from math import log
+
from plotly.exceptions import PlotlyError
from pal_utils import mean, stdev
continue
+def plot_hdrh_lat_by_percentile_x_log(plot, input_data):
+ """Generate the plot(s) with algorithm: plot_hdrh_lat_by_percentile_x_log
+ specified in the specification file.
+
+ :param plot: Plot to generate.
+ :param input_data: Data to process.
+ :type plot: pandas.Series
+ :type input_data: InputData
+ """
+
+ # Transform the data
+ logging.info(
+ f" Creating the data set for the {plot.get(u'type', u'')} "
+ f"{plot.get(u'title', u'')}."
+ )
+ if plot.get(u"include", None):
+ data = input_data.filter_tests_by_name(
+ plot,
+ params=[u"name", u"latency", u"parent", u"tags", u"type"]
+ )[0][0]
+ elif plot.get(u"filter", None):
+ data = input_data.filter_data(
+ plot,
+ params=[u"name", u"latency", u"parent", u"tags", u"type"],
+ continue_on_error=True
+ )[0][0]
+ else:
+ job = list(plot[u"data"].keys())[0]
+ build = str(plot[u"data"][job][0])
+ data = input_data.tests(job, build)
+
+ if data is None or len(data) == 0:
+ logging.error(u"No data.")
+ return
+
+ desc = {
+ u"LAT0": u"No-load.",
+ u"PDR10": u"Low-load, 10% PDR.",
+ u"PDR50": u"Mid-load, 50% PDR.",
+ u"PDR90": u"High-load, 90% PDR.",
+ u"PDR": u"Full-load, 100% PDR.",
+ u"NDR10": u"Low-load, 10% NDR.",
+ u"NDR50": u"Mid-load, 50% NDR.",
+ u"NDR90": u"High-load, 90% NDR.",
+ u"NDR": u"Full-load, 100% NDR."
+ }
+
+ graphs = [
+ u"LAT0",
+ u"PDR10",
+ u"PDR50",
+ u"PDR90"
+ ]
+
+ file_links = plot.get(u"output-file-links", None)
+ target_links = plot.get(u"target-links", None)
+
+ for test in data:
+ try:
+ if test[u"type"] not in (u"NDRPDR",):
+ logging.warning(f"Invalid test type: {test[u'type']}")
+ continue
+ name = re.sub(REGEX_NIC, u"", test[u"parent"].
+ replace(u'-ndrpdr', u'').replace(u'2n1l-', u''))
+ try:
+ nic = re.search(REGEX_NIC, test[u"parent"]).group(1)
+ except (IndexError, AttributeError, KeyError, ValueError):
+ nic = u""
+ name_link = f"{nic}-{test[u'name']}".replace(u'-ndrpdr', u'')
+
+ logging.info(f" Generating the graph: {name_link}")
+
+ fig = plgo.Figure()
+ layout = deepcopy(plot[u"layout"])
+ xaxis_max = 0
+
+ for color, graph in enumerate(graphs):
+ for idx, direction in enumerate((u"direction1", u"direction2")):
+ xaxis = list()
+ yaxis = list()
+ hovertext = list()
+ try:
+ decoded = hdrh.histogram.HdrHistogram.decode(
+ test[u"latency"][graph][direction][u"hdrh"]
+ )
+ except hdrh.codec.HdrLengthException:
+ logging.warning(
+ f"No data for direction {(u'W-E', u'E-W')[idx % 2]}"
+ )
+ continue
+
+ for item in decoded.get_recorded_iterator():
+ percentile = item.percentile_level_iterated_to
+ if percentile > 99.9999999:
+ continue
+ xaxis.append(100.0 / (100.0 - percentile))
+ yaxis.append(item.value_iterated_to)
+ hovertext.append(
+ f"<b>{desc[graph]}</b><br>"
+ f"Direction: {(u'W-E', u'E-W')[idx % 2]}<br>"
+ f"Percentile: {percentile:.5f}%<br>"
+ f"Latency: {item.value_iterated_to}uSec"
+ )
+ fig.add_trace(
+ plgo.Scatter(
+ x=xaxis,
+ y=yaxis,
+ name=desc[graph],
+ mode=u"lines",
+ legendgroup=desc[graph],
+ showlegend=not(bool(idx)),
+ line=dict(
+ color=COLORS[color],
+ dash=u"dash" if idx % 2 else u"solid"
+ ),
+ hovertext=hovertext,
+ hoverinfo=u"text"
+ )
+ )
+ xaxis_max = max(xaxis) if xaxis_max < max(
+ xaxis) else xaxis_max
+
+ layout[u"title"][u"text"] = f"<b>Latency:</b> {name}"
+ layout[u"xaxis"][u"range"] = [0, int(log(xaxis_max, 10)) + 1]
+ fig.update_layout(layout)
+
+ # Create plot
+ file_name = f"{plot[u'output-file']}-{name_link}.html"
+ logging.info(f" Writing file {file_name}")
+
+ try:
+ # Export Plot
+ ploff.plot(fig, show_link=False, auto_open=False,
+ filename=file_name)
+ # Add link to the file:
+ if file_links and target_links:
+ with open(file_links, u"a") as file_handler:
+ file_handler.write(
+ f"- `{name_link} "
+ f"<{target_links}/{file_name.split(u'/')[-1]}>`_\n"
+ )
+ except FileNotFoundError as err:
+ logging.error(
+ f"Not possible to write the link to the file "
+ f"{file_links}\n{err}"
+ )
+ except PlotlyError as err:
+ logging.error(f" Finished with error: {repr(err)}")
+
+ except hdrh.codec.HdrLengthException as err:
+ logging.warning(repr(err))
+ continue
+
+ except (ValueError, KeyError) as err:
+ logging.warning(repr(err))
+ continue
+
+
def plot_nf_reconf_box_name(plot, input_data):
"""Generate the plot(s) with algorithm: plot_nf_reconf_box_name
specified in the specification file.
Code Review / csit.git / blobdiff