-# Copyright (c) 2018 Cisco and/or its affiliates.
+# Copyright (c) 2021 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:
"""Algorithms to generate files.
"""
+import re
+
+from os.path import join
+from collections import OrderedDict
import logging
u"\n .. raw:: latex\n\n"
u" \\csvautolongtable{{{file_latex}}}\n\n")
+REGEX_NIC_SHORT = re.compile(r'(\d*ge\dp\d)([a-z]*\d*[a-z]*)-')
+
def generate_files(spec, data):
"""Generate all files specified in the specification file.
"""
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
}
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 <br />\n\n\n"
+ u".. |prein| raw:: html\n\n <pre>\n\n\n"
+ u".. |preout| raw:: html\n\n </pre>\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."
+ )
+ continue
+
+ 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:
+ continue
+ 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:
+ continue
+ 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'"', u"'").
+ replace(u'\n', u' ').
+ replace(u'\r', u'').
+ replace(u'*[', u'\n\n - *[').
+ replace(u"*", u"**").
+ replace(u'\n\n - *[', u' - *[', 1)
+ )
+ )
+ break
+ 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
"""
base_file_name = f"{file_spec[u'output-file']}"
- rst_header = file_spec.get(u"file-header", u"")
+ rst_header = (
+ u"\n"
+ u".. |br| raw:: html\n\n <br />\n\n\n"
+ u".. |prein| raw:: html\n\n <pre>\n\n\n"
+ u".. |preout| raw:: html\n\n </pre>\n\n"
+ )
start_lvl = file_spec.get(u"data-start-level", 4)
logging.info(f" Generating the file {base_file_name} ...")
if tests.empty:
return
tests = input_data.merge_data(tests)
- tests.sort_index(inplace=True)
suites = input_data.filter_data(
file_spec,
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():
file_handler.write(f"\n{suite[u'name']}\n{title_line}\n")
if _tests_in_suite(suite[u"name"], tests):
- 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 -')
- )
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"
file_latex=tbl_file,
file_html=tbl_file.split(u"/")[-1])
)
+ break
logging.info(u" Done.")
Code Review / csit.git / blobdiff