def write_md(self, name, refs={}, chapter_num=1):
path = "cases/{}".format(name)
converter = LaTeX2Markdown(load_tex(path).split('\n'),
refs=refs,
chapter_num=chapter_num)
write_md_case(name, converter.to_markdown())
def run_case(self, name, refs={}, chapter_num=1):
path = "cases/{}".format(name)
converter = LaTeX2Markdown(load_tex(path).split('\n'),
refs=refs,
chapter_num=chapter_num)
self.assertEqual(converter.to_markdown(), load_md(path))
def convert(config, base_path, yes=False):
base_dir = base_path
generate_dir = base_dir.joinpath("generate")
if not prepare_base_directory(generate_dir, yes):
return
logging.debug("start converting %s" % generate_dir)
guides_dir, content_dir = prepare_structure(generate_dir)
transformation_rules, insert_rules = prepare_codio_rules(config)
toc = get_toc(Path(config['workspace']['directory']),
Path(config['workspace']['tex']))
toc, tokens = codio_transformations(toc, transformation_rules,
insert_rules)
refs = make_refs(toc,
chapter_counter_from=get_ref_chapter_counter_from(config))
refs = override_refs(refs, config)
book, metadata = make_metadata_items(config)
remove_trinket = config['workspace'].get('removeTrinket', False)
remove_exercise = config['workspace'].get('removeExercise', False)
chapter = None
children_containers = [book["children"]]
chapter_num = get_ref_chapter_counter_from(config) - 1
figure_num = 0
exercise_num = 0
pdfs_for_convert = []
source_codes = []
logging.debug("convert selected pages")
for item in toc:
if item.section_type == CHAPTER:
chapter_num += 1
figure_num = 0
exercise_num = 0
slug_name = slugify(item.section_name)
chapter = item.section_name
else:
slug_name = slugify(item.section_name, chapter=chapter)
logging.debug("convert page {} - {}".format(slug_name, chapter_num))
converted_md = item.markdown
if not converted_md:
lines = cleanup_latex(item.lines)
md_converter = LaTeX2Markdown(lines,
refs=refs,
chapter_num=chapter_num,
figure_num=figure_num,
exercise_num=exercise_num,
remove_trinket=remove_trinket,
remove_exercise=remove_exercise)
converted_md = md_converter.to_markdown()
figure_num += md_converter.get_figure_counter()
exercise_num += md_converter.get_exercise_counter()
if md_converter.get_pdfs_for_convert():
pdfs_for_convert += md_converter.get_pdfs_for_convert()
if md_converter.get_source_codes():
source_codes += md_converter.get_source_codes()
if slug_name in tokens:
for key, value in tokens.get(slug_name).items():
converted_md = converted_md.replace(key, value)
md_path = content_dir.joinpath(slug_name + ".md")
section, book_item = make_section_items(item, slug_name, md_path,
transformation_rules)
if item.section_type == CHAPTER or item.codio_section == "start":
book_item["children"] = []
if item.section_type == CHAPTER:
children_containers = [children_containers[0]]
elif item.codio_section == "end" and len(children_containers) > 1:
children_containers.pop()
children_containers[len(children_containers) - 1].append(book_item)
if item.section_type == CHAPTER or item.codio_section == "start":
children_containers.append(book_item["children"])
metadata["sections"].append(section)
write_file(md_path, converted_md)
write_metadata(guides_dir, metadata, book)
process_assets(config, generate_dir, pdfs_for_convert, source_codes)