-# Copyright (c) 2019 Cisco and/or its affiliates.
+# Copyright (c) 2020 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
if graph.get(u"include", None):
data = input_data.filter_tests_by_name(
- graph, continue_on_error=True
+ graph,
+ params=[u"type", u"result", u"tags"],
+ continue_on_error=True
)
else:
- data = input_data.filter_data(graph, continue_on_error=True)
+ data = input_data.filter_data(
+ graph,
+ params=[u"type", u"result", u"tags"],
+ continue_on_error=True)
if data is None or data.empty:
logging.error(u"No data.")
# Write the tables:
for job_name, csv_table in csv_tables.items():
file_name = f"{spec.cpta[u'output-file']}/{job_name}-trending"
- with open(f"{file_name}.csv", u"w") as file_handler:
+ with open(f"{file_name}.csv", u"wt") as file_handler:
file_handler.writelines(csv_table)
txt_table = None
)
line_nr += 1
txt_table.align[u"Build Number:"] = u"l"
- with open(f"{file_name}.txt", u"w") as txt_file:
+ with open(f"{file_name}.txt", u"wt") as txt_file:
txt_file.write(str(txt_table))
# Evaluate result: