PyTexTree

Create a tree object from a LaTeX project. v0.1.1.

1. Features

This project was done to provide a way to handle / analyse LaTeX projects more easily. Feature highlights:

• Support opening LaTeX projects consisting of multiple files (using \include)
• Extract several, maybe useful, stats on the file
• Create a traversable tree from the LaTeX project
  • Built upon the awesome NodeMixin of anytree
• Export to a graph to support visualisation
  • A dict with edges and nodes
  • Creates edges between references within the project
  • Specifically export to .csv files supported by Gephi

2. Installation

Using pip:

$ pip install pytextree

3. Usage

Basic workflow with the PyTexTree consists of two steps:

1. Load the tex file into text
2. Parse the text into a tree

NOTE:

For testing, you can use the provided .tex example.

3.1. Loading a LaTeX project into a tree

You can use the textree.open_tex_project() to load your LaTeX project into a string

import pytextree as tt
txt = tt.open_tex_project('examples/lorem.tex')

Then you can simply parse the text into a tree:

tree = tt.parse_tex_to_tree(txt) # >>> <TNode [Root]: Root (0, 5502)>

The function returns the root node of the created tree. You can traverse it with .children and .parent attributes.

3.1.1. Tree node attributes

The node, describing a section or an evironment in the LaTeX project, contains some information about the containing text:

3.2. Printing the tree

You can also pretty print the created tree for more information:

tree.pretty_print()

Output:

<TNode [Root]: Root (0, 5502)>
└── <TEnv [document]>: None (114, 5500)
   ├── <TNode [section]: S1 (144, 1129)>
   │   ├── <TNode [subsection]: S1.S1 (619, 869)>
   │   └── <TNode [subsection]: S1.S2 (870, 1129)>
   ├── <TNode [section]: S2 (1130, 2542)>
   │   └── <TNode [subsection]: S2.S1 (1460, 2542)>
   │       ├── <TEnv [itemize]>: list:mylist (1606, 1867)
   │       │   ├── <TEnv [itemize]>: None (1695, 1771)
   │       │   └── <TEnv [itemize]>: None (1776, 1853)
   │       ├── <TEnv [itemize]>: list:mylist (1869, 1959)
   │       ├── <TEnv [tabular]>: table:synonyms (2032, 2136)
   │       ├── <TNode [subsubsection]: S2.S1.S1 (2140, 2230)>
   │       └── <TNode [subsubsection]: S2.S1.S2 (2231, 2542)>
   ├── <TNode [section]: S3 (2543, 5485)>
   │   ├── <TNode [paragraph]: This is a paragraph (3417, 4368)>
   │   ├── <TNode [paragraph]: And have another paragraph (4369, 5299)>
   │   └── <TNode [subsection]: S3.S1  (5300, 5484)>
   └── <TEnv [appendices]>: None (5435, 5485)

3.3. Exporting

To visualise your project as a network / graph with some external software you can export the project as a dict containing nodes and edges.

graph = tree.to_graph()
print(graph['nodes'][0])
print(graph['edges'][0])

Output:

{
   'id': '$',
   'name': 'Root',
   'tag': 'Root',
   'texlabel': None,
   'word count': 0,
   'n comments': 0,
   'n commands': 5,
   'n references': 0,
   'n citations': 0,
   'value': 0,
   'label': '[Root]: Root',
   'group': -1,
   'title': 'words: 0'}
{
   'id': 'p1',
   'from': '$',
   'to': 'n0',
   'weight': 1,
   'type': 'undirected',
   'value': 1,
   'source': '$',
   'target': 'n0'
}

Alternativaly, you can export to a .csv files combatible with Gephi:

tree.to_gephi_csv()

This will create two files, one containing the nodes and one containing the edges.

4. Notes

Some limitations of the project:

1. If you are laoding a project with includes, make sure the main file ends with main.tex
   • e.g. my_latex_project_main.tex
   • The files this includes, should be in the same directory
2. Required package version compatablity not checked
   • Earlier versions might be fine as well
3. TNode.pretty_print() does not work on Windows console due characters