def prepare_base_items(self):
"""Create the base database items and save them for the import.
This will save optional Part and Chapter depending on the size of the
tutorial, plus the Tutorial database instance itself.
"""
# We create the initial tutorial database element
self.tutorial = Tutorial(
title=self.titles[0][2],
size=self.size,
pubdate=datetime.now()
)
# We save it for the first time in order to make the m2m relations work
self.tutorial.save()
self.tutorial.authors.add(self.author)
# Create required base elements depending on tutorial size
if self.size == 'S':
self.base_chapter = Chapter(tutorial=self.tutorial)
self.base_chapter.save()
elif self.size == 'M':
self.base_part = Part(tutorial=self.tutorial)
self.base_part.save()
def prepare_base_items(self):
"""Create the base database items and save them for the import.
This will save optional Part and Chapter depending on the size of the
tutorial, plus the Tutorial database instance itself.
"""
# We create the initial tutorial database element
self.tutorial = Tutorial(title=self.titles[0][2],
size=self.size,
pubdate=datetime.now())
# We save it for the first time in order to make the m2m relations work
self.tutorial.save()
self.tutorial.authors.add(self.author)
# Create required base elements depending on tutorial size
if self.size == 'S':
self.base_chapter = Chapter(tutorial=self.tutorial)
self.base_chapter.save()
elif self.size == 'M':
self.base_part = Part(tutorial=self.tutorial)
self.base_part.save()
class TutorialImporter(object):
"""Tool used to import tutorials into database models.
You should only use this class by calling its load(fp) and run() methods
unless you know what you do.
"""
def __init__(self, author, size):
self.author = author
self.size = size
self.tutorial = None
self.lines = []
self.titles = []
# Level of the first title of the document
self.initial_level = 0
self.levels_to_match = []
# Values of the previous title iteration
self.last_matched_level = 0
self.last_matched_num = 0
# Static base items used for generation dependencies
self.base_chapter = None
self.base_part = None
# Dynamic items used for generation
self.extract = None
self.chapter = None
self.part = None
# Position fields
self.position_in_tutorial = 1
self.position_in_part = 1
self.position_in_chapter = 1
self.chapter_position_in_tutorial = 1
def from_file(self, filepath):
"""Load a markdown source from a text file."""
with io.open(filepath, 'r', encoding='utf-8') as f:
self.lines = f.read().splitlines()
def from_text(self, text):
"""Load a markdown source from an unicode string."""
self.lines = text.splitlines()
def deduce_level(self, sharps):
"""Deduce the level of a title based on its sharp amount."""
return len(sharps)
def deduce_initial_level(self):
"""Deduce initial level from first title."""
if len(self.titles) > 0:
self.initial_level = self.titles[0][1]
else:
self.initial_level = 0
def deduce_levels_to_match(self):
"""Deduce the title levels to match during import."""
levels_depth = 0
# We generate a list of levels to match depending on the tutorial size
# and create base_* elements depending on this size.
if self.size == 'S':
# Extract title
levels_depth = 1
elif self.size == 'M':
# Chapter title + extract title
levels_depth = 2
elif self.size == 'B':
# Part title + chapter title + extract title
levels_depth = 3
self.levels_to_match = list(map(
lambda x: x + self.initial_level,
range(1, levels_depth + 1)
))
def extract_titles(self):
"""Match and extract all the titles out of the markdown document."""
self.titles = []
expr = re.compile("^(#+) (.+)$")
for num, line in enumerate(self.lines):
match = expr.match(line)
if match:
title = match.group(2)
level = self.deduce_level(match.group(1))
self.titles.append((num, level, title))
def prepare_next_extract(self):
"""Save the previous extract in database and prepare a new one."""
# Save previous extract (if any)
if self.extract:
self.extract.save()
self.position_in_chapter += 1
# Prepare new extract
if self.size == 'S':
chapter = self.base_chapter
else:
chapter = self.chapter
self.extract = Extract(
title=self.current_title,
position_in_chapter=self.position_in_chapter,
chapter=chapter
)
def prepare_next_chapter(self):
"""Save the previous chapter in database and prepare a new one."""
# Save previous chapter (if any)
if self.chapter:
self.chapter.save()
self.position_in_chapter = 0
self.position_in_part += 1
self.chapter_position_in_tutorial += 1
# Prepare new chapter
if self.size == 'M':
part = self.base_part
else:
part = self.part
self.chapter = Chapter(
title=self.current_title,
position_in_part=self.position_in_part,
position_in_tutorial=self.chapter_position_in_tutorial,
part=part
)
def prepare_next_part(self):
"""Save the previous part in database and prepare a new one."""
# Save previous part (if any)
if self.part:
self.part.save()
self.position_in_chapter = 0
self.position_in_part = 0
self.position_in_tutorial += 1
# Prepare new part
self.part = Part(
title=self.current_title,
position_in_tutorial=self.position_in_tutorial,
tutorial=self.tutorial
)
def check_titles(self):
"""Check that the source is correctly formatted.
This will run some assert() calls all over the loaded structure of
titles. You can catch AssertError in order to know that the user input
is wrong, until more precise exceptions.
"""
if len(self.titles) == 0:
raise NoTitleFoundError
# We cannot perform tests on titles if there is only one
if len(self.titles) == 1:
return
previous_level = self.initial_level
# We loop on all titles except the first one
for num, level, title in self.titles[1:]:
# The line has to be bounded inside self.lines
assert(num >= 0 and num < len(self.lines))
# All titles must have a superior level than the main title
if level <= self.initial_level:
raise NegativeTitleLevelError(num, level, self.initial_level)
if len(title) <= 0:
raise EmptyTitleError(num)
# If ascending level we must be sure that it is increasing by
# maximum 1 or staying at 0.
if level > previous_level:
if level - previous_level > 1:
raise InvalidLevelIncreaseError(num, level, previous_level)
previous_level = level
def prepare_base_items(self):
"""Create the base database items and save them for the import.
This will save optional Part and Chapter depending on the size of the
tutorial, plus the Tutorial database instance itself.
"""
# We create the initial tutorial database element
self.tutorial = Tutorial(
title=self.titles[0][2],
size=self.size,
pubdate=datetime.now()
)
# We save it for the first time in order to make the m2m relations work
self.tutorial.save()
self.tutorial.authors.add(self.author)
# Create required base elements depending on tutorial size
if self.size == 'S':
self.base_chapter = Chapter(tutorial=self.tutorial)
self.base_chapter.save()
elif self.size == 'M':
self.base_part = Part(tutorial=self.tutorial)
self.base_part.save()
def finish_text_import(self):
"""Finish the import process once every title has been parsed."""
content = "\n".join(self.lines[self.last_matched_num + 1:])
if self.base_chapter:
if self.last_matched_level == self.levels_to_match[0]:
self.extract.text = content
self.extract.save()
else:
self.tutorial.introduction = content
self.tutorial.save()
elif self.base_part:
if self.current_level == self.levels_to_match[0]:
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.extract.text = content
self.extract.save()
else:
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.extract.text = content
self.extract.save()
else:
if self.current_level == self.levels_to_match[0]:
if self.last_matched_level == self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
elif self.current_level == self.levels_to_match[1]:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
else:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
def to_database(self):
"""Loop over the titles in order to convert them to database instances.
This will create the corresponding Part, Chapter and Extract elements
based on the input and fill their introduction/text fields with rest
of the markdown.
"""
# We remember the last level we matched in order to recognize
# introductions for elements.
self.last_matched_level = self.initial_level
self.last_matched_num = self.titles[0][1]
for self.current_num, self.current_level, self.current_title in \
self.titles[1:]:
# If the level is in the list, we have to create a database element
# out of if. Elsewise this title is considered as Markdown title.
if self.current_level in self.levels_to_match:
# If we were matching markdown before, we stop the match
# process since we are changing level and add markdown content
# to the revelant place.
#
# We start at (last_matched_num + 1) in order to not catch last
# processed title in the content.
content = "\n".join(
self.lines[self.last_matched_num + 1:self.current_num]
)
# If we were under the first title, we update tutorial's
# introduction.
if self.last_matched_level == self.initial_level:
self.tutorial.introduction = content
self.tutorial.save()
# Small tutorial, obviously it is an extract
if self.base_chapter:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.extract.text = content
self.prepare_next_extract()
# Medium tutorial, it is a chapter or an extract
elif self.base_part:
if self.current_level == self.levels_to_match[0]:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
elif self.last_matched_level == \
self.levels_to_match[1]:
self.extract.text = content
self.extract.save()
self.prepare_next_chapter()
else:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == \
self.levels_to_match[1]:
self.extract.text = content
self.prepare_next_extract()
# Big tutorial, it is a part or a chapter or an extract
else:
if self.current_level == self.levels_to_match[0]:
# Update content
if self.last_matched_level == \
self.levels_to_match[0]:
self.part.introduction = content
elif self.last_matched_level == \
self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == \
self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
self.prepare_next_part()
elif self.current_level == self.levels_to_match[1]:
# Update content
if self.last_matched_level == \
self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == \
self.levels_to_match[1]:
self.chapter.introduction = content
elif self.last_matched_level == \
self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
self.prepare_next_chapter()
else:
# Update content
if self.last_matched_level == \
self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == \
self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == \
self.levels_to_match[2]:
self.extract.text = content
self.prepare_next_extract()
self.last_matched_level = self.current_level
self.last_matched_num = self.current_num
# At this point we have matched all titles. we finally need to finish
# markdown import for the last matched title till end of file.
self.finish_text_import()
def run(self):
"""Start the import process."""
self.extract_titles()
self.deduce_initial_level()
self.check_titles()
self.prepare_base_items()
self.deduce_levels_to_match()
self.to_database()
class TutorialImporter(object):
"""Tool used to import tutorials into database models.
You should only use this class by calling its load(fp) and run() methods
unless you know what you do.
"""
def __init__(self, author, size):
self.author = author
self.size = size
self.tutorial = None
self.lines = []
self.titles = []
# Level of the first title of the document
self.initial_level = 0
self.levels_to_match = []
# Values of the previous title iteration
self.last_matched_level = 0
self.last_matched_num = 0
# Static base items used for generation dependencies
self.base_chapter = None
self.base_part = None
# Dynamic items used for generation
self.extract = None
self.chapter = None
self.part = None
# Position fields
self.position_in_tutorial = 1
self.position_in_part = 1
self.position_in_chapter = 1
self.chapter_position_in_tutorial = 1
def from_file(self, filepath):
"""Load a markdown source from a text file."""
with io.open(filepath, 'r', encoding='utf-8') as f:
self.lines = f.read().splitlines()
def from_text(self, text):
"""Load a markdown source from an unicode string."""
self.lines = text.splitlines()
def deduce_level(self, sharps):
"""Deduce the level of a title based on its sharp amount."""
return len(sharps)
def deduce_initial_level(self):
"""Deduce initial level from first title."""
if len(self.titles) > 0:
self.initial_level = self.titles[0][1]
else:
self.initial_level = 0
def deduce_levels_to_match(self):
"""Deduce the title levels to match during import."""
levels_depth = 0
# We generate a list of levels to match depending on the tutorial size
# and create base_* elements depending on this size.
if self.size == 'S':
# Extract title
levels_depth = 1
elif self.size == 'M':
# Chapter title + extract title
levels_depth = 2
elif self.size == 'B':
# Part title + chapter title + extract title
levels_depth = 3
self.levels_to_match = list(
map(lambda x: x + self.initial_level, range(1, levels_depth + 1)))
def extract_titles(self):
"""Match and extract all the titles out of the markdown document."""
self.titles = []
expr = re.compile("^(#+) (.+)$")
for num, line in enumerate(self.lines):
match = expr.match(line)
if match:
title = match.group(2)
level = self.deduce_level(match.group(1))
self.titles.append((num, level, title))
def prepare_next_extract(self):
"""Save the previous extract in database and prepare a new one."""
# Save previous extract (if any)
if self.extract:
self.extract.save()
self.position_in_chapter += 1
# Prepare new extract
if self.size == 'S':
chapter = self.base_chapter
else:
chapter = self.chapter
self.extract = Extract(title=self.current_title,
position_in_chapter=self.position_in_chapter,
chapter=chapter)
def prepare_next_chapter(self):
"""Save the previous chapter in database and prepare a new one."""
# Save previous chapter (if any)
if self.chapter:
self.chapter.save()
self.position_in_chapter = 0
self.position_in_part += 1
self.chapter_position_in_tutorial += 1
# Prepare new chapter
if self.size == 'M':
part = self.base_part
else:
part = self.part
self.chapter = Chapter(
title=self.current_title,
position_in_part=self.position_in_part,
position_in_tutorial=self.chapter_position_in_tutorial,
part=part)
def prepare_next_part(self):
"""Save the previous part in database and prepare a new one."""
# Save previous part (if any)
if self.part:
self.part.save()
self.position_in_chapter = 0
self.position_in_part = 0
self.position_in_tutorial += 1
# Prepare new part
self.part = Part(title=self.current_title,
position_in_tutorial=self.position_in_tutorial,
tutorial=self.tutorial)
def check_titles(self):
"""Check that the source is correctly formatted.
This will run some assert() calls all over the loaded structure of
titles. You can catch AssertError in order to know that the user input
is wrong, until more precise exceptions.
"""
if len(self.titles) == 0:
raise NoTitleFoundError
# We cannot perform tests on titles if there is only one
if len(self.titles) == 1:
return
previous_level = self.initial_level
# We loop on all titles except the first one
for num, level, title in self.titles[1:]:
# The line has to be bounded inside self.lines
assert (num >= 0 and num < len(self.lines))
# All titles must have a superior level than the main title
if level <= self.initial_level:
raise NegativeTitleLevelError(num, level, self.initial_level)
if len(title) <= 0:
raise EmptyTitleError(num)
# If ascending level we must be sure that it is increasing by
# maximum 1 or staying at 0.
if level > previous_level:
if level - previous_level > 1:
raise InvalidLevelIncreaseError(num, level, previous_level)
previous_level = level
def prepare_base_items(self):
"""Create the base database items and save them for the import.
This will save optional Part and Chapter depending on the size of the
tutorial, plus the Tutorial database instance itself.
"""
# We create the initial tutorial database element
self.tutorial = Tutorial(title=self.titles[0][2],
size=self.size,
pubdate=datetime.now())
# We save it for the first time in order to make the m2m relations work
self.tutorial.save()
self.tutorial.authors.add(self.author)
# Create required base elements depending on tutorial size
if self.size == 'S':
self.base_chapter = Chapter(tutorial=self.tutorial)
self.base_chapter.save()
elif self.size == 'M':
self.base_part = Part(tutorial=self.tutorial)
self.base_part.save()
def finish_text_import(self):
"""Finish the import process once every title has been parsed."""
content = "\n".join(self.lines[self.last_matched_num + 1:])
if self.base_chapter:
if self.last_matched_level == self.levels_to_match[0]:
self.extract.text = content
self.extract.save()
else:
self.tutorial.introduction = content
self.tutorial.save()
elif self.base_part:
if self.current_level == self.levels_to_match[0]:
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.extract.text = content
self.extract.save()
else:
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.extract.text = content
self.extract.save()
else:
if self.current_level == self.levels_to_match[0]:
if self.last_matched_level == self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
elif self.current_level == self.levels_to_match[1]:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
else:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
def to_database(self):
"""Loop over the titles in order to convert them to database instances.
This will create the corresponding Part, Chapter and Extract elements
based on the input and fill their introduction/text fields with rest
of the markdown.
"""
# We remember the last level we matched in order to recognize
# introductions for elements.
self.last_matched_level = self.initial_level
self.last_matched_num = self.titles[0][1]
for self.current_num, self.current_level, self.current_title in \
self.titles[1:]:
# If the level is in the list, we have to create a database element
# out of if. Elsewise this title is considered as Markdown title.
if self.current_level in self.levels_to_match:
# If we were matching markdown before, we stop the match
# process since we are changing level and add markdown content
# to the revelant place.
#
# We start at (last_matched_num + 1) in order to not catch last
# processed title in the content.
content = "\n".join(self.lines[self.last_matched_num +
1:self.current_num])
# If we were under the first title, we update tutorial's
# introduction.
if self.last_matched_level == self.initial_level:
self.tutorial.introduction = content
self.tutorial.save()
# Small tutorial, obviously it is an extract
if self.base_chapter:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.extract.text = content
self.prepare_next_extract()
# Medium tutorial, it is a chapter or an extract
elif self.base_part:
if self.current_level == self.levels_to_match[0]:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
elif self.last_matched_level == \
self.levels_to_match[1]:
self.extract.text = content
self.extract.save()
self.prepare_next_chapter()
else:
# Update content
if self.last_matched_level == self.levels_to_match[0]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == \
self.levels_to_match[1]:
self.extract.text = content
self.prepare_next_extract()
# Big tutorial, it is a part or a chapter or an extract
else:
if self.current_level == self.levels_to_match[0]:
# Update content
if self.last_matched_level == \
self.levels_to_match[0]:
self.part.introduction = content
elif self.last_matched_level == \
self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == \
self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
self.prepare_next_part()
elif self.current_level == self.levels_to_match[1]:
# Update content
if self.last_matched_level == \
self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == \
self.levels_to_match[1]:
self.chapter.introduction = content
elif self.last_matched_level == \
self.levels_to_match[2]:
self.extract.text = content
self.extract.save()
self.prepare_next_chapter()
else:
# Update content
if self.last_matched_level == \
self.levels_to_match[0]:
self.part.introduction = content
self.part.save()
elif self.last_matched_level == \
self.levels_to_match[1]:
self.chapter.introduction = content
self.chapter.save()
elif self.last_matched_level == \
self.levels_to_match[2]:
self.extract.text = content
self.prepare_next_extract()
self.last_matched_level = self.current_level
self.last_matched_num = self.current_num
# At this point we have matched all titles. we finally need to finish
# markdown import for the last matched title till end of file.
self.finish_text_import()
def run(self):
"""Start the import process."""
self.extract_titles()
self.deduce_initial_level()
self.check_titles()
self.prepare_base_items()
self.deduce_levels_to_match()
self.to_database()