import logging
+import csv
+import prettytable
+
from string import replace
from errors import PresentationError
# Generate the data for the table according to the model in the table
# specification
-
job = table["data"].keys()[0]
build = str(table["data"][job][0])
try:
# Transform the data
data = input_data.filter_data(table)
data = input_data.merge_data(data)
+ data.sort_index(inplace=True)
suites = input_data.filter_data(table, data_set="suites")
suites = input_data.merge_data(suites)
val = tmpl_item[int(args[0])]
tbl_item.append({"data": val})
elif cmd == "data":
- job = args[0]
- operation = args[1]
+ jobs = args[0:-1]
+ operation = args[-1]
data_lst = list()
- for build in data[job]:
- try:
- data_lst.append(float(build[tmpl_item[0]]["throughput"]
- ["value"]))
- except (KeyError, TypeError):
- # No data, ignore
- continue
+ for job in jobs:
+ for build in data[job]:
+ try:
+ data_lst.append(float(build[tmpl_item[0]]
+ ["throughput"]["value"]))
+ except (KeyError, TypeError):
+ # No data, ignore
+ continue
if data_lst:
tbl_item.append({"data": (eval(operation)(data_lst)) /
1000000})
return tmpl_data
except IOError as err:
raise PresentationError(str(err), level="ERROR")
+
+
+def table_performance_comparision(table, input_data):
+ """Generate the table(s) with algorithm: table_performance_comparision
+ specified in the specification file.
+
+ :param table: Table to generate.
+ :param input_data: Data to process.
+ :type table: pandas.Series
+ :type input_data: InputData
+ """
+
+ # Transform the data
+ data = input_data.filter_data(table)
+
+ # Prepare the header of the tables
+ try:
+ header = ["Test case",
+ "{0} Throughput [Mpps]".format(table["reference"]["title"]),
+ "{0} stdev [Mpps]".format(table["reference"]["title"]),
+ "{0} Throughput [Mpps]".format(table["compare"]["title"]),
+ "{0} stdev [Mpps]".format(table["compare"]["title"]),
+ "Change [%]"]
+ header_str = ",".join(header) + "\n"
+ except (AttributeError, KeyError) as err:
+ logging.error("The model is invalid, missing parameter: {0}".
+ format(err))
+ return
+
+ # Prepare data to the table:
+ tbl_dict = dict()
+ for job, builds in table["reference"]["data"].items():
+ for build in builds:
+ for tst_name, tst_data in data[job][str(build)].iteritems():
+ if tbl_dict.get(tst_name, None) is None:
+ name = "{0}-{1}".format(tst_data["parent"].split("-")[0],
+ "-".join(tst_data["name"].
+ split("-")[1:]))
+ tbl_dict[tst_name] = {"name": name,
+ "ref-data": list(),
+ "cmp-data": list()}
+ tbl_dict[tst_name]["ref-data"].\
+ append(tst_data["throughput"]["value"])
+
+ for job, builds in table["compare"]["data"].items():
+ for build in builds:
+ for tst_name, tst_data in data[job][str(build)].iteritems():
+ tbl_dict[tst_name]["cmp-data"].\
+ append(tst_data["throughput"]["value"])
+
+ tbl_lst = list()
+ for tst_name in tbl_dict.keys():
+ item = [tbl_dict[tst_name]["name"], ]
+ if tbl_dict[tst_name]["ref-data"]:
+ item.append(round(mean(tbl_dict[tst_name]["ref-data"]) / 1000000,
+ 2))
+ item.append(round(stdev(tbl_dict[tst_name]["ref-data"]) / 1000000,
+ 2))
+ else:
+ item.extend([None, None])
+ if tbl_dict[tst_name]["cmp-data"]:
+ item.append(round(mean(tbl_dict[tst_name]["cmp-data"]) / 1000000,
+ 2))
+ item.append(round(stdev(tbl_dict[tst_name]["cmp-data"]) / 1000000,
+ 2))
+ else:
+ item.extend([None, None])
+ if item[1] is not None and item[3] is not None:
+ item.append(int(relative_change(float(item[1]), float(item[3]))))
+ if len(item) == 6:
+ tbl_lst.append(item)
+
+ # Sort the table according to the relative change
+ tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
+
+ # Generate tables:
+ # All tests in csv:
+ tbl_names = ["{0}-ndr-1t1c-full{1}".format(table["output-file"],
+ table["output-file-ext"]),
+ "{0}-ndr-2t2c-full{1}".format(table["output-file"],
+ table["output-file-ext"]),
+ "{0}-ndr-4t4c-full{1}".format(table["output-file"],
+ table["output-file-ext"]),
+ "{0}-pdr-1t1c-full{1}".format(table["output-file"],
+ table["output-file-ext"]),
+ "{0}-pdr-2t2c-full{1}".format(table["output-file"],
+ table["output-file-ext"]),
+ "{0}-pdr-4t4c-full{1}".format(table["output-file"],
+ table["output-file-ext"])
+ ]
+ for file_name in tbl_names:
+ with open(file_name, "w") as file_handler:
+ file_handler.write(header_str)
+ for test in tbl_lst:
+ if (file_name.split("-")[-3] in test[0] and # NDR vs PDR
+ file_name.split("-")[-2] in test[0]): # cores
+ test[0] = "-".join(test[0].split("-")[:-1])
+ file_handler.write(",".join([str(item) for item in test]) +
+ "\n")
+
+ # All tests in txt:
+ tbl_names_txt = ["{0}-ndr-1t1c-full.txt".format(table["output-file"]),
+ "{0}-ndr-2t2c-full.txt".format(table["output-file"]),
+ "{0}-ndr-4t4c-full.txt".format(table["output-file"]),
+ "{0}-pdr-1t1c-full.txt".format(table["output-file"]),
+ "{0}-pdr-2t2c-full.txt".format(table["output-file"]),
+ "{0}-pdr-4t4c-full.txt".format(table["output-file"])
+ ]
+
+ for i, txt_name in enumerate(tbl_names_txt):
+ txt_table = None
+ with open(tbl_names[i], 'rb') as csv_file:
+ csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
+ for row in csv_content:
+ if txt_table is None:
+ txt_table = prettytable.PrettyTable(row)
+ else:
+ txt_table.add_row(row)
+ with open(txt_name, "w") as txt_file:
+ txt_file.write(str(txt_table))
+
+ # Selected tests in csv:
+ input_file = "{0}-ndr-1t1c-full{1}".format(table["output-file"],
+ table["output-file-ext"])
+ with open(input_file, "r") as in_file:
+ lines = list()
+ for line in in_file:
+ lines.append(line)
+
+ output_file = "{0}-ndr-1t1c-top{1}".format(table["output-file"],
+ table["output-file-ext"])
+ with open(output_file, "w") as out_file:
+ out_file.write(header_str)
+ for i, line in enumerate(lines[1:]):
+ if i == table["nr-of-tests-shown"]:
+ break
+ out_file.write(line)
+
+ output_file = "{0}-ndr-1t1c-bottom{1}".format(table["output-file"],
+ table["output-file-ext"])
+ with open(output_file, "w") as out_file:
+ out_file.write(header_str)
+ for i, line in enumerate(lines[-1:0:-1]):
+ if i == table["nr-of-tests-shown"]:
+ break
+ out_file.write(line)
+
+ input_file = "{0}-pdr-1t1c-full{1}".format(table["output-file"],
+ table["output-file-ext"])
+ with open(input_file, "r") as in_file:
+ lines = list()
+ for line in in_file:
+ lines.append(line)
+
+ output_file = "{0}-pdr-1t1c-top{1}".format(table["output-file"],
+ table["output-file-ext"])
+ with open(output_file, "w") as out_file:
+ out_file.write(header_str)
+ for i, line in enumerate(lines[1:]):
+ if i == table["nr-of-tests-shown"]:
+ break
+ out_file.write(line)
+
+ output_file = "{0}-pdr-1t1c-bottom{1}".format(table["output-file"],
+ table["output-file-ext"])
+ with open(output_file, "w") as out_file:
+ out_file.write(header_str)
+ for i, line in enumerate(lines[-1:0:-1]):
+ if i == table["nr-of-tests-shown"]:
+ break
+ out_file.write(line)
Code Review / csit.git / blobdiff