import prettytable
from string import replace
+from pprint import pformat
from errors import PresentationError
from utils import mean, stdev, relative_change
raise PresentationError(str(err), level="ERROR")
-def table_performance_comparision(table, input_data):
- """Generate the table(s) with algorithm: table_performance_comparision
+def table_performance_comparison(table, input_data):
+ """Generate the table(s) with algorithm: table_performance_comparison
specified in the specification file.
:param table: Table to generate.
:type input_data: InputData
"""
+ logging.info(" Generating the table {0} ...".
+ format(table.get("title", "")))
+
# Transform the data
data = input_data.filter_data(table)
+ logging.info(data)
# Prepare the header of the tables
try:
tbl_dict[tst_name] = {"name": name,
"ref-data": list(),
"cmp-data": list()}
- tbl_dict[tst_name]["ref-data"].\
- append(tst_data["throughput"]["value"])
+ try:
+ tbl_dict[tst_name]["ref-data"].\
+ append(tst_data["throughput"]["value"])
+ except TypeError:
+ pass # No data in output.xml for this test
+ logging.info(pformat(tbl_dict))
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"])
+ try:
+ tbl_dict[tst_name]["cmp-data"].\
+ append(tst_data["throughput"]["value"])
+ except KeyError:
+ pass
+ except TypeError:
+ tbl_dict.pop(tst_name, None)
+
+ logging.info(pformat(tbl_dict))
tbl_lst = list()
for tst_name in tbl_dict.keys():
# Sort the table according to the relative change
tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
+ logging.info(pformat(tbl_lst))
# Generate tables:
# All tests in csv:
table["output-file-ext"])
]
for file_name in tbl_names:
+ logging.info(" Writing file: '{}'".format(file_name))
with open(file_name, "w") as file_handler:
file_handler.write(header_str)
for test in tbl_lst:
for i, txt_name in enumerate(tbl_names_txt):
txt_table = None
+ logging.info(" Writing file: '{}'".format(txt_name))
with open(tbl_names[i], 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
for row in csv_content:
output_file = "{0}-ndr-1t1c-top{1}".format(table["output-file"],
table["output-file-ext"])
+ logging.info(" Writing file: '{}'".format(output_file))
with open(output_file, "w") as out_file:
out_file.write(header_str)
for i, line in enumerate(lines[1:]):
output_file = "{0}-ndr-1t1c-bottom{1}".format(table["output-file"],
table["output-file-ext"])
+ logging.info(" Writing file: '{}'".format(output_file))
with open(output_file, "w") as out_file:
out_file.write(header_str)
for i, line in enumerate(lines[-1:0:-1]):
output_file = "{0}-pdr-1t1c-top{1}".format(table["output-file"],
table["output-file-ext"])
+ logging.info(" Writing file: '{}'".format(output_file))
with open(output_file, "w") as out_file:
out_file.write(header_str)
for i, line in enumerate(lines[1:]):
output_file = "{0}-pdr-1t1c-bottom{1}".format(table["output-file"],
table["output-file-ext"])
+ logging.info(" Writing file: '{}'".format(output_file))
with open(output_file, "w") as out_file:
out_file.write(header_str)
for i, line in enumerate(lines[-1:0:-1]):