# 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.")