# 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: # # 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 re from os.path import join from collections import OrderedDict import logging from pal_utils import get_files, get_rst_title_char RST_INCLUDE_TABLE = (u"\n.. only:: html\n\n" u" .. csv-table::\n" u" :header-rows: 1\n" u" :widths: auto\n" u" :align: center\n" u" :file: {file_html}\n" u"\n.. only:: latex\n\n" u"\n .. raw:: latex\n\n" u" \\csvautolongtable{{{file_latex}}}\n\n") REGEX_NIC_SHORT = re.compile(r'(\d*ge\dp\d)(\D*\d*[a-z]*)-') 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 """ generator = { u"file_details_split": file_details_split, u"file_details_split_html": file_details_split_html, u"file_test_results": file_test_results, u"file_test_results_html": file_test_results_html } logging.info(u"Generating the files ...") for file_spec in spec.files: try: generator[file_spec[u"algorithm"]](file_spec, data) except (NameError, KeyError) as err: logging.error( f"Probably algorithm {file_spec[u'algorithm']} is not defined: " f"{repr(err)}" ) logging.info(u"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][u"parent"]: return True return False def file_details_split(file_spec, input_data, frmt=u"rst"): """Generate the file(s) with algorithms - file_details_split specified in the specification file. :param file_spec: File to generate. :param input_data: Data to process. :param frmt: Format can be: rst or html :type file_spec: pandas.Series :type input_data: InputData :type frmt: str """ fileset_file_name = f"{file_spec[u'output-file']}" rst_header = ( u"\n" u".. |br| raw:: html\n\n
\n\n\n" u".. |prein| raw:: html\n\n
\n\n\n"
        u".. |preout| raw:: html\n\n    
\n\n" ) start_lvl = file_spec.get(u"data-start-level", 4) logging.info(f" Generating the file set {fileset_file_name} ...") data_sets = file_spec.get(u"data", None) if not data_sets: logging.error( f" No data sets specified for {file_spec[u'output-file']}, exit." ) return table_sets = file_spec.get(u"dir-tables", None) if not table_sets: logging.error( f" No table sets specified for {file_spec[u'output-file']}, exit." ) return if len(data_sets) != len(table_sets): logging.error( f" The number of data sets and the number of table sets for " f"{file_spec[u'output-file']} are not equal, exit." ) return chapters = OrderedDict() for data_set, table_set in zip(data_sets, table_sets): logging.info(f" Processing the table set {table_set}...") table_lst = None if frmt == u"html": table_lst = get_files(table_set, u".rst", full_path=True) elif frmt == u"rst": table_lst = get_files(table_set, u".csv", full_path=True) if not table_lst: logging.error( f" No tables to include in {table_set}. Skipping." ) return logging.info(u" Creating the test data set...") tests = input_data.filter_data( element=file_spec, params=[u"name", u"parent", u"doc", u"type", u"level"], data=data_set, data_set=u"tests", continue_on_error=True ) if tests.empty: return tests = input_data.merge_data(tests) tests.sort_index(inplace=True) logging.info(u" Creating the suite data set...") suites = input_data.filter_data( element=file_spec, data=data_set, continue_on_error=True, data_set=u"suites" ) if suites.empty: return suites = input_data.merge_data(suites) suites.sort_index(inplace=True) logging.info(u" Generating files...") chapter_l1 = u"" chapter_l2 = u"-".join(table_set.split(u"_")[-2:]) for suite_longname, suite in suites.items(): suite_lvl = len(suite_longname.split(u".")) if suite_lvl < start_lvl: # Not interested in this suite continue if suite_lvl == start_lvl: # Our top-level suite chapter_l1 = suite_longname.split(u'.')[-1] if chapters.get(chapter_l1, None) is None: chapters[chapter_l1] = OrderedDict() if chapters[chapter_l1].get(chapter_l2, None) is None: chapters[chapter_l1][chapter_l2] = OrderedDict() continue if _tests_in_suite(suite[u"name"], tests): groups = re.search(REGEX_NIC_SHORT, suite[u"name"]) nic = groups.group(2) if groups else None if nic is None: continue if chapters[chapter_l1][chapter_l2].get(nic, None) is None: chapters[chapter_l1][chapter_l2][nic] = dict( rst_file=f"{join(table_set, chapter_l1)}_{nic}.rst". replace(u"2n1l-", u""), tables=list() ) for idx, tbl_file in enumerate(table_lst): if suite[u"name"] in tbl_file: chapters[chapter_l1][chapter_l2][nic][u"tables"].append( ( table_lst.pop(idx), suite[u"doc"].replace(u'|br|', u'\n\n -') ) ) break print(chapters) titles = { # VPP Perf, MRR u"container_memif": u"LXC/DRC Container Memif", u"crypto": u"IPsec IPv4 Routing", u"hoststack": u"Hoststack Testing", u"ip4": u"IPv4 Routing", u"ip4_tunnels": u"IPv4 Tunnels", u"ip6": u"IPv6 Routing", u"ip6_tunnels": u"IPv6 Tunnels", u"l2": u"L2 Ethernet Switching", u"lb": u"LoadBalancer", u"nfv_density": u"NFV Service Density", u"srv6": u"SRv6 Routing", u"vm_vhost": u"KVM VMs vhost-user", u"vts": u"Virtual Topology System", # VPP Device u"interfaces": u"Interfaces", u"l2bd": u"L2 Bridge-domain", u"l2patch": u"L2 Patch", u"l2xc": u"L2 Cross-connect", } order_chapters = file_spec.get(u"order-chapters", None) if order_chapters: order_1 = order_chapters.get(u"level-1", None) order_2 = order_chapters.get(u"level-2", None) order_3 = order_chapters.get(u"level-3", None) if not order_1: order_1 = chapters.keys() else: order_1 = None order_2 = None order_3 = None for chapter_l1 in order_1: content_l1 = chapters.get(chapter_l1, None) if not content_l1: continue with open(f"{fileset_file_name}/index.rst", u"a") as file_handler: file_handler.write(f" {chapter_l1}\n") l1_file_name = f"{join(fileset_file_name, chapter_l1)}.rst" title = titles.get(chapter_l1, chapter_l1) logging.info(f" Generating {title} ...") with open(l1_file_name, u"w") as file_handler: file_handler.write( f"{title}\n" f"{get_rst_title_char(1) * len(title)}\n\n" f".. toctree::\n\n" ) if not order_2: order_2 = chapters[chapter_l1].keys() for chapter_l2 in order_2: content_l2 = content_l1.get(chapter_l2, None) if not content_l2: continue if not order_3: order_3 = chapters[chapter_l1][chapter_l2].keys() for chapter_l3 in order_3: content_l3 = content_l2.get(chapter_l3, None) if not content_l3: continue with open(l1_file_name, u"a") as file_handler: item = u"/".join(content_l3[u'rst_file'].split(u'/')[-2:]) file_handler.write(f" ../{item}\n") logging.info(f" Writing the file {content_l3[u'rst_file']}") with open(content_l3[u'rst_file'], u"w+") as file_handler: title = f"{chapter_l2}-{chapter_l3}" file_handler.write( f"{rst_header}\n" f"{title}\n" f"{get_rst_title_char(2) * len(title)}\n" ) for table in content_l3[u'tables']: title = table[0].split(u"/")[-1].split(u".")[0] file_handler.write( f"\n{title}\n" f"{get_rst_title_char(3) * len(title)}\n" ) file_handler.write(f"\n{table[1]}\n") if frmt == u"html": file_handler.write( f"\n.. include:: {table[0].split(u'/')[-1]}" f"\n" ) elif frmt == u"rst": file_handler.write( RST_INCLUDE_TABLE.format( file_latex=table[0], file_html=table[0].split(u"/")[-1]) ) def file_details_split_html(file_spec, input_data): """Generate the file(s) with algorithms - file_details_split_html 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_details_split(file_spec, input_data, frmt=u"html") def file_test_results(file_spec, input_data, frmt=u"rst"): """Generate the file(s) with algorithms - file_test_results specified in the specification file. :param file_spec: File to generate. :param input_data: Data to process. :param frmt: Format can be: rst or html :type file_spec: pandas.Series :type input_data: InputData :type frmt: str """ base_file_name = f"{file_spec[u'output-file']}" rst_header = ( u"\n" u".. |br| raw:: html\n\n
\n\n\n" u".. |prein| raw:: html\n\n
\n\n\n"
        u".. |preout| raw:: html\n\n    
\n\n" ) start_lvl = file_spec.get(u"data-start-level", 4) logging.info(f" Generating the file {base_file_name} ...") if frmt == u"html": table_lst = get_files(file_spec[u"dir-tables"], u".rst", full_path=True) elif frmt == u"rst": table_lst = get_files(file_spec[u"dir-tables"], u".csv", full_path=True) else: return if not table_lst: logging.error( f" No tables to include in {file_spec[u'dir-tables']}. Skipping." ) return logging.info( f" Creating the tests data set for the " f"{file_spec.get(u'type', u'')} {file_spec.get(u'title', u'')}." ) tests = input_data.filter_data( file_spec, params=[u"name", u"parent", u"doc", u"type", u"level"], continue_on_error=True ) if tests.empty: return tests = input_data.merge_data(tests) suites = input_data.filter_data( file_spec, continue_on_error=True, data_set=u"suites" ) if suites.empty: return suites = input_data.merge_data(suites) suites.sort_index(inplace=True) file_name = u"" for suite_longname, suite in suites.items(): suite_lvl = len(suite_longname.split(u".")) if suite_lvl < start_lvl: # Not interested in this suite continue if suite_lvl == start_lvl: # Our top-level suite chapter = suite_longname.split(u'.')[-1] file_name = f"{base_file_name}/{chapter}.rst" logging.info(f" Writing file {file_name}") with open(f"{base_file_name}/index.rst", u"a") as file_handler: file_handler.write(f" {chapter}\n") with open(file_name, u"a") as file_handler: file_handler.write(rst_header) title_line = get_rst_title_char(suite[u"level"] - start_lvl + 2) * \ len(suite[u"name"]) with open(file_name, u"a") as file_handler: if not (u"-ndrpdr" in suite[u"name"] or u"-mrr" in suite[u"name"] or u"-dev" in suite[u"name"]): file_handler.write(f"\n{suite[u'name']}\n{title_line}\n") if _tests_in_suite(suite[u"name"], tests): for tbl_file in table_lst: if suite[u"name"] in tbl_file: file_handler.write( f"\n{suite[u'name']}\n{title_line}\n" ) file_handler.write( f"\n{suite[u'doc']}\n".replace(u'|br|', u'\n\n -') ) if frmt == u"html": file_handler.write( f"\n.. include:: {tbl_file.split(u'/')[-1]}\n" ) elif frmt == u"rst": file_handler.write( RST_INCLUDE_TABLE.format( file_latex=tbl_file, file_html=tbl_file.split(u"/")[-1]) ) break logging.info(u" Done.") def file_test_results_html(file_spec, input_data): """Generate the file(s) with algorithms - file_test_results_html 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_test_results(file_spec, input_data, frmt=u"html")