append(test["throughput"]["NDR"]["LOWER"])
else:
continue
+ elif test["type"] in ("SOAK", ):
+ y_vals[test["parent"]].\
+ append(test["throughput"]["LOWER"])
else:
continue
except (KeyError, TypeError):
logging.error(repr(err))
continue
if val_max:
- y_max.append(int(val_max / 1000000) + 1)
+ y_max.append(int(val_max / 1000000) + 2)
try:
# Create plot
if vals[key_c][key_n]["vals_r"]:
vals[key_c][key_n]["nr_r"] = len(vals[key_c][key_n]["vals_r"])
vals[key_c][key_n]["mean_r"] = \
- round(mean(vals[key_c][key_n]["vals_r"]) / 1000000, 1)
+ mean(vals[key_c][key_n]["vals_r"])
vals[key_c][key_n]["stdev_r"] = \
round(stdev(vals[key_c][key_n]["vals_r"]) / 1000000, 1)
if vals[key_c][key_n]["vals_c"]:
vals[key_c][key_n]["nr_c"] = len(vals[key_c][key_n]["vals_c"])
vals[key_c][key_n]["mean_c"] = \
- round(mean(vals[key_c][key_n]["vals_c"]) / 1000000, 1)
+ mean(vals[key_c][key_n]["vals_c"])
vals[key_c][key_n]["stdev_c"] = \
round(stdev(vals[key_c][key_n]["vals_c"]) / 1000000, 1)
val_r = vals[txt_chains[c - 1]][txt_nodes[n - 1]]["mean_r"]
except (KeyError, IndexError):
val_r = None
- data_r[c - 1].append(val_r)
try:
val_c = vals[txt_chains[c - 1]][txt_nodes[n - 1]]["mean_c"]
except (KeyError, IndexError):
val_c = None
- data_c[c - 1].append(val_c)
-
if val_c is not None and val_r:
- diff[c - 1].append(round((val_c - val_r) * 100 / val_r, 1))
+ val_d = (val_c - val_r) * 100 / val_r
else:
- diff[c - 1].append(None)
+ val_d = None
+
+ if val_r is not None:
+ val_r = round(val_r / 1000000, 1)
+ data_r[c - 1].append(val_r)
+ if val_c is not None:
+ val_c = round(val_c / 1000000, 1)
+ data_c[c - 1].append(val_c)
+ if val_d is not None:
+ val_d = int(round(val_d, 0))
+ diff[c - 1].append(val_d)
# Colorscales:
my_green = [[0.0, 'rgb(235, 249, 242)'],
showarrow=False
)
+ point_text_r = "Not present"
+ point_text_c = "Not present"
+ point_text_diff = ""
try:
- data_point = str(data_r[c][n])
+ point_r = data_r[c][n]
+ if point_r is not None:
+ point_text_r = text_r.format(
+ val_r=point_r,
+ stdev_r=vals[txt_chains[c]][txt_nodes[n]]["stdev_r"],
+ nr_r=vals[txt_chains[c]][txt_nodes[n]]["nr_r"])
except KeyError:
- data_point = None
- point["text"] = "" if data_point is None else data_point
+ point_r = None
+ point["text"] = "" if point_r is None else point_r
annotations_r.append(deepcopy(point))
try:
- data_point = str(data_c[c][n])
+ point_c = data_c[c][n]
+ if point_c is not None:
+ point_text_c = text_c.format(
+ val_c=point_c,
+ stdev_c=vals[txt_chains[c]][txt_nodes[n]]["stdev_c"],
+ nr_c=vals[txt_chains[c]][txt_nodes[n]]["nr_c"])
except KeyError:
- data_point = None
- point["text"] = "" if data_point is None else data_point
+ point_c = None
+ point["text"] = "" if point_c is None else point_c
annotations_c.append(deepcopy(point))
try:
- data_point = str(diff[c][n])
+ point_d = diff[c][n]
+ if point_d is not None:
+ point_text_diff = text_diff.format(
+ title_r=plot["reference"]["name"],
+ title_c=plot["compare"]["name"],
+ diff=point_d)
except KeyError:
- data_point = None
- point["text"] = "" if data_point is None else data_point
+ point_d = None
+ point["text"] = "" if point_d is None else point_d
annotations_diff.append(deepcopy(point))
+ try:
+ name = vals[txt_chains[c]][txt_nodes[n]]["name"]
+ except KeyError:
+ continue
+
hover_line.append(text.format(
- name=vals[txt_chains[c]][txt_nodes[n]]["name"],
+ name=name,
title_r=plot["reference"]["name"],
- text_r=text_r.format(
- val_r=data_r[c][n],
- stdev_r=vals[txt_chains[c]][txt_nodes[n]]["stdev_r"],
- nr_r=vals[txt_chains[c]][txt_nodes[n]]["nr_r"]
- ) if data_r[c][n] is not None else "Test Failed",
+ text_r=point_text_r,
title_c=plot["compare"]["name"],
- text_c=text_c.format(
- val_c=data_c[c][n],
- stdev_c=vals[txt_chains[c]][txt_nodes[n]]["stdev_c"],
- nr_c=vals[txt_chains[c]][txt_nodes[n]]["nr_c"]
- ) if data_c[c][n] is not None else "Test Failed",
- text_diff=text_diff.format(
- title_r=plot["reference"]["name"],
- title_c=plot["compare"]["name"],
- diff=diff[c][n]
- ) if diff[c][n] is not None else ""
+ text_c=point_text_c,
+ text_diff=point_text_diff
))
hovertext.append(hover_line)