def extract_grouped_results(db_obj, trace_id_rows_colors, edges, result_type):
"""Takes a list of lists of trace_is and produces a list of lists of results
corresponding to them.
Args:
- db_obj: DBManager object connted to a db where the results will be pulled
from.
- trace_id_rows_colors: list of lists of integers as trace_ids of experiments.
- edges: if set to [""], it does no effect, the function extracts results
of the type result_type. If set to a list of items, results will be
pulled for each element as: "g"+str(edge)+_str(result_type)
- result_type: string indentifying which type of result are we pulling. It
correspond to the type of the NumericStats stored in db_obj.
Returns: a dictionary indexed by edges. Each element is a list of lists of
same dimension of trace_id_rows_colors, each element a NumericStats object
corresponding to the result of that component.
"""
exp_rows = {}
for edge in edges:
exp_rows[edge] = extract_results(
db_obj, trace_id_rows_colors,
ResultTrace.get_result_type_edge(edge, result_type))
return exp_rows
exp_rows = {}
for edge in edges:
exp_rows[edge] = []
for row in trace_id_rows_colors:
these_rows = {}
for edge in edges:
these_rows[edge] = []
exp_rows[edge].append(these_rows[edge])
for trace_id in row:
exp = ExperimentDefinition()
exp.load(db_obj, trace_id)
for edge in edges:
result = None
if exp.is_it_ready_to_process():
if edge == "":
key = ResultTrace.get_result_type_edge(
edge, result_type)
else:
key = result_type
key += "_stats"
result = NumericStats()
result.load(db_obj, trace_id, key)
else:
result = NumericStats()
result.calculate([0, 0, 0])
these_rows[edge].append(result)
return exp_rows
y_limits_dic = {
"[0,48] core.h": (1, 1000),
"(48, 960] core.h": (1, 100),
"(960, inf.) core.h": (1, 20)
}
target_dir = "percent"
grouping = [1, 3, 3, 3, 3, 3]
colors, hatches, legend = produce_plot_config(db_obj, trace_id_rows)
name = "Slowdown"
for edge in core_seconds_edges:
edge_result_type = ResultTrace.get_result_type_edge(edge, result_type)
print("Loading " + edge_result_type)
edge_plot_results = extract_results(db_obj, trace_id_rows,
edge_result_type)
edge_formated = edge_keys[edge]
title = "Jobs slowdow: {0}".format(edge_formated)
y_limits = y_limits_dic[edge_formated]
print("Plotting figure")
plot_multi_exp_boxplot(
name=title,
file_name=target_dir +
"/percent-slow_down_jobs-{0}.png".format(file_name_edges[edge]),
title=title,
exp_rows=edge_plot_results,
y_axis_labels=manifest_label,
x_axis_labels=time_labels,
