excerpts 2.1.0

Introduction

Ever read or wrote source files containing sectioning comments? Especially in scientific and/or data analysis scripts I see a lot like

### Collect Data

or

###
### Remove Outliers
###

or even

### 2.1 Descriptive Statistics

(RStudio, an IDE for the programming language R has even come up with their own code sectioning and folding feature that requires comments like

# Hypothesis Testing ----

)

If these comments are markdown style section comments, we can excerpt them and set a table of contents.

A First Example

Suppose you have the following code:

#!/usr/bin/env python3

# #% A Tutorial Introduction

# ##% Getting Started

# no need to import anything
print('hello, world')

# ###% The First Python Function
def main():
    print('hello, world')


main()

# ##% Variables and Arithmetic Expressions
print('some code')

# a comment
print('more code')

We can excerpt the comments marked by ‘%’:

# A Tutorial Introduction
## Getting Started
### The First Python Function
## Variables and Arithmetic Expressions

which is valid markdown that we can convert using pandoc .

A Bit More Elaborated

Suppose you have a file ‘tests/files/some_file.txt’ reading:

#######% % All About Me
#######% % Me
####### The above defines a pandoc markdown header.
####### This is more text that will not be extracted.
#######% **This** is an example of a markdown paragraph: markdown
#######% recognizes only six levels of heading, so we use seven or
#######% more levels to mark "normal" text.
#######% Here you can use the full markdown
#######% [syntax](http://daringfireball.net/projects/markdown/syntax).
#######% *Note* the trailing line: markdown needs an empty line to end
#######% a paragraph.
#######%

#% A section
##% A subsection
### Not a subsubsection but a plain comment.
############% Another markdown paragraph.
############%
####### More text that will not be extracted.

Then excerpting the marked comments via

import excerpts
file_name = 'tests/files/some_file.txt'
with open(file_name) as infile:
    lines = infile.readlines()

excerpted = excerpts.excerpt(lines = lines, comment_character="#",
    magic_character="%")

print (''.join(str(p) for p in excerpted))

gives

% All About Me
% Me
**This** is an example of a markdown paragraph: markdown
recognizes only six levels of heading, so we use seven or
more levels to mark "normal" text.
Here you can use the full markdown
[syntax](http://daringfireball.net/projects/markdown/syntax).
*Note* the trailing line: markdown needs an empty line to end
a paragraph.

# A section
## A subsection
Another markdown paragraph.

which again is valid markdown for pandoc .

excerpts.excerpts(file_name = file_name, comment_character="#",
    magic_character="%", output_path="output", run_pandoc=True,
    pandoc_formats="html")

usage: excerpts [-h] [-O OUTPUT_PATH] [-o POSTFIX] [-e PREFIX]
                [-c COMMENT_CHARACTER] [-m MAGIC_CHARACTER] [-v] [-x]
[-p]
                [-n] [-l] [--no-latex] [--formats PANDOC_FORMATS]
[--no-pep8]
                file

excerpt markdown-style comments from a file to markdown and

PEP8

PEP8 requires each “line of a block comment starts with a # and a single space”. excerpts takes care of this requirement by removing a single comment character that is followed by a space and a sequence of comments characters. Should you need to disable this behaviour, you can set allow_pep8 to False.

Requirements

Excerpts needs python3.

Installation

Try

pip3 install git+git://gitlab.com/fvafrcu/excerpts –upgrade –user