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# Copyright (c) 2017 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:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Algorithms to generate files.
"""
import logging
from utils import get_files, get_rst_title_char
RST_INCLUDE_TABLE = ("\n.. only:: html\n\n"
" .. csv-table::\n"
" :header-rows: 1\n"
" :widths: auto\n"
" :align: center\n"
" :file: {file_html}\n"
"\n.. only:: latex\n\n"
"\n .. raw:: latex\n\n"
" \csvautolongtable{{{file_latex}}}\n\n")
def generate_files(spec, data):
"""Generate all files specified in the specification file.
:param spec: Specification read from the specification file.
:param data: Data to process.
:type spec: Specification
:type data: InputData
"""
logging.info("Generating the files ...")
for file_spec in spec.files:
try:
eval(file_spec["algorithm"])(file_spec, data)
except NameError:
logging.error("The algorithm '{0}' is not defined.".
format(file_spec["algorithm"]))
logging.info("Done.")
def _tests_in_suite(suite_name, tests):
"""Check if the suite includes tests.
:param suite_name: Name of the suite to be checked.
:param tests: Set of tests
:type suite_name: str
:type tests: pandas.Series
:returns: True if the suite includes tests.
:rtype: bool
"""
for key in tests.keys():
if suite_name == tests[key]["parent"]:
return True
return False
def file_test_results(file_spec, input_data):
"""Generate the file(s) with algorithm: file_test_results specified in the
specification file.
:param file_spec: File to generate.
:param input_data: Data to process.
:type file_spec: pandas.Series
:type input_data: InputData
"""
file_name = "{0}{1}".format(file_spec["output-file"],
file_spec["output-file-ext"])
rst_header = file_spec["file-header"]
logging.info(" Generating the file {0} ...".format(file_name))
table_lst = get_files(file_spec["dir-tables"], ".csv", full_path=True)
if len(table_lst) == 0:
logging.error(" No tables to include in '{0}'. Skipping.".
format(file_spec["dir-tables"]))
return None
job = file_spec["data"].keys()[0]
build = str(file_spec["data"][job][0])
logging.info(" Writing file '{0}'".format(file_name))
suites = input_data.suites(job, build)[file_spec["data-start-level"]:]
suites.sort_index(inplace=True)
with open(file_name, "w") as file_handler:
file_handler.write(rst_header)
for suite_longname, suite in suites.iteritems():
suite_name = suite["name"]
file_handler.write("\n{0}\n{1}\n".format(
suite_name, get_rst_title_char(
suite["level"] - file_spec["data-start-level"] - 1) *
len(suite_name)))
file_handler.write("\n{0}\n".format(
suite["doc"].replace('|br|', '\n\n -')))
if _tests_in_suite(suite_name, input_data.tests(job, build)):
for tbl_file in table_lst:
if suite_name in tbl_file:
file_handler.write(
RST_INCLUDE_TABLE.format(
file_latex=tbl_file,
file_html=tbl_file.split("/")[-1]))
logging.info(" Done.")
def file_merged_test_results(file_spec, input_data):
"""Generate the file(s) with algorithm: file_merged_test_results specified
in the specification file.
:param file_spec: File to generate.
:param input_data: Data to process.
:type file_spec: pandas.Series
:type input_data: InputData
"""
file_name = "{0}{1}".format(file_spec["output-file"],
file_spec["output-file-ext"])
rst_header = file_spec["file-header"]
logging.info(" Generating the file {0} ...".format(file_name))
table_lst = get_files(file_spec["dir-tables"], ".csv", full_path=True)
if len(table_lst) == 0:
logging.error(" No tables to include in '{0}'. Skipping.".
format(file_spec["dir-tables"]))
return None
logging.info(" Writing file '{0}'".format(file_name))
tests = input_data.filter_data(file_spec)
tests = input_data.merge_data(tests)
suites = input_data.filter_data(file_spec, data_set="suites")
suites = input_data.merge_data(suites)
suites.sort_index(inplace=True)
with open(file_name, "w") as file_handler:
file_handler.write(rst_header)
for suite_longname, suite in suites.iteritems():
if "ndrchk" in suite_longname or "pdrchk" in suite_longname:
continue
if len(suite_longname.split(".")) <= file_spec["data-start-level"]:
continue
suite_name = suite["name"]
file_handler.write("\n{0}\n{1}\n".format(
suite_name, get_rst_title_char(
suite["level"] - file_spec["data-start-level"] - 1) *
len(suite_name)))
file_handler.write("\n{0}\n".format(
suite["doc"].replace('|br|', '\n\n -')))
if _tests_in_suite(suite_name, tests):
for tbl_file in table_lst:
if suite_name in tbl_file:
file_handler.write(
RST_INCLUDE_TABLE.format(
file_latex=tbl_file,
file_html=tbl_file.split("/")[-1]))
logging.info(" Done.")
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