pydocmaker 1.1.3

a minimal document maker to make docx, markdown, html, textile, redmine, and tex documents from python. Written in pure python.

pydocmaker

a minimal document maker to make docx, markdown, html, textile, redmine and tex documents from python.

Written in pure python.

Installation

Install via:

pip install pydocmaker

TL;DR;

Minimal Usage Example:

import pydocmaker as pyd

doc = pyd.FlowDoc() # basic doc where we always append to the end
doc.add('dummy text') # adds raw text

# this is how to add preformatted
doc.add_kw('verbatim', """def hello_world():
    print('hello world!')
""")

# this is how to add markdown
doc.add_kw('markdown', """This is some *fancy* `markdown` **text**: 
- first
    - some [link](http://your_link.de/your_file.png)
- second
""")

# this is how to add an image from link
doc.add(pyd.constr.image_from_link(url='http://your_link.de/your_file.png', caption='', children='', width=0.8))

doc.show()


doc.to_html('path/to/my_file.html') # will write a HTML file
doc.to_docx('path/to/my_file.docx') # will write a docx file
doc.to_textile('path/to/my_file.textile.zip') # will pack all textile files and write them to a zip archive
doc.to_tex('path/to/my_file.tex.zip') # will pack all tex files and write them to a zip archive

doc.to_json('path/to/doc.json') # saves the document

Detailed Usage Instructions

Given here is a brief overview. See the ipython notebooks within the examples folder within this repository for more detailed usage examples.

Document Builders

The FlowDoc class from pydocmaker is the basic building element for making a report. Here each element will just be appended to the end of the document. You can use the object like a list.

The SectionedDoc class pydocmaker acts much the same as FlowDoc, but here you can build each chapter individually by accessing the individual chapters like a dict within the SectionedDoc object.

Document Parts and Schema for them

The basic building blocks for a document are called document parts and are always either of type dict or type str (A string will automatically parsed as a text dict element).

Each document part has a typ field which states the type of document part and a children field, which can be either string or list. This way hirachical documents can be build if needed.

The available document-parts are:

• text: holds text as string (children) which will inserted directly as raw text
• markdown: holds text as string (children) which will be rendered by markdown markup language before parsing into the documents
• image: holds all needed information to render an image in a report. The image data is saved as a string in base64 encoded format in the imageblob field. A caption (str) can be given which will be inserted below the image. The filename is given by the children field. The relative width can be given by the width field (float).
• verbatim: holds text as string (children) which will be inserted as preformatted text into the documents
• iter: a meta document-part which holds n sub document-parts in the children field which will be rendered and inserted into the documents in given order.

An example of the whole schema is given below.

{
  "text":     {"typ": "text", "children": ""},
  "markdown": {"typ": "markdown", "children": ""},
  "image":    {"typ": "image", "children": "", "imageblob": "", "caption": "", "width": 0.8},
  "verbatim": {"typ": "verbatim", "children": ""},
  "iter":     {"typ": "iter", "children": [] }
}

Constructing Document Parts

document-parts can be constructed using multiple ways.

The most basic one is using the static constr class of the pydocmaker library:

import pydocmaker as pyd
import numpy as np

docpart = pyd.constr.markdown(children='')
docpart = pyd.constr.text(children='')
docpart = pyd.constr.verbatim(children='')
docpart = pyd.constr.iter(children=[])
docpart = pyd.constr.image(imageblob='', caption='', children='', width=0.8)
docpart = pyd.constr.image_from_link(url='http://your_link.de/your_file.png', caption='', children='', width=0.8)
docpart = pyd.constr.image_from_file(path='path/to/your_file.png', children='', caption='', width=0.8)
docpart = pyd.constr.image_from_fig(caption='', width=0.8, name=None, fig=None)
docpart = pyd.constr.image_from_obj(np.array(np.arange(255).tolist() * 255, dtype="uint8"), caption = '', width=0.8, name=None)

Alternatively you can add elements to a document directly using the add and add_kw methods of the document builders:

import pydocmaker as pyd

doc = pyd.FlowDoc()
doc.add('dummy text')
doc.add({"typ": "markdown","children": "some dummy markdown text!"})
doc.add_kw('verbatim', 'this text will be shown preformatted!')

doc.show()

You can also combine the two:

import pydocmaker as pyd
import numpy as np

doc = pyd.FlowDoc()
doc.add('dummy text')
doc.add(pyd.constr.image_from_link(url='http://your_link.de/your_file.png', caption='', children='', width=0.8))
doc.show()

Working with Images

Image from pyplot figure

doc = pyd.FlowDoc()
doc.add(pyd.constr.image_from_fig(caption='test figure', fig=fig))

Image from link

doc = pyd.FlowDoc()
doc.add(pyd.constr.image_from_link("https://upload.wikimedia.org/wikipedia/en/b/b7/Logo_of_the_Max_Planck_Society.png"))

Image from numpy array

import numpy as np
m = np.array([np.arange(255).astype(np.uint8).tolist() for i in range(255)], dtype=np.uint8)
doc = pyd.FlowDoc()
doc.add(pyd.constr.image_from_obj(m, caption = 'numpy generated image', width=0.8, name=None))

Upload to Redmine as Wiki Page

This is how to upload to redmine (assumes doc exists as generated in any of the above examples)

import redminelib, datetime

text_textile, attachments_lst = doc.to_redmine()
redmine = redminelib.Redmine('https://your-redmine-instance.com', key='my_token')

page = redmine.wiki_page.new()
page.project_id = 'myproject'
page.title = 'My Wiki Page'

page.text = text_textile
page.uploads = attachments_lst
page.comments = f'updated at {datetime.datetime.utcnow().isoformat()}'
page.save()