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PyPI version codecov Life cycle downloads License: MIT

totolo

This repository contains a Python package, totolo, for working with data from the Theme Ontology theming repository.

Installation

Install from PyPi:

pip install totolo

Or clone this repository and copy the totolo directory wherever you need it. No dependencies are required.

Basic Usage

#: import package
    >>> import totolo

#: get the latest main branch version of the ontology
    >>> ontology = totolo.remote()
    >>> print(ontology)
<2945 themes, 4475 stories>

#: write it or read it locally
    >>> ontology.write("/home/mo/themes")
    >>> ontology = totolo.files("/home/mo/themes")
    >>> print(ontology)
<2945 themes, 4475 stories>

Explore the themes:

#: go over all the themes and find the ones you want
    >>> for theme in ontology.themes():
    ...     if "romantic love" in theme.name:
    ...         print(theme)
b'personal freedom vs. romantic love'[3]
b'romantic love'[3]

#: check the definition of a theme
    >>> love = ontology.theme["love"]
    >>> love.print()
    (...)

Explore the stories:

    >>> for weight, theme in story.iter_themes():
    ...     print(f"{weight:<15} {theme.name}")
Choice Themes   betrayal
Choice Themes   the lust for power
(...)

Convert it to a pandas dataframe:

    >>> df = ontology.dataframe()
    >>> df
                                 story_id             title        date                      theme        weight
0                 theamericanshortstory01  The Music School        1974      human self-reflection  Major Themes
1                 theamericanshortstory01  The Music School        1974                     murder  Major Themes
...                                   ...               ...         ...                        ...           ...
52453  videogame: Final Fantasy VI (1994)  Final Fantasy VI  1994-04-02  feral children in society  Minor Themes
52454  videogame: Final Fantasy VI (1994)  Final Fantasy VI  1994-04-02             father and son  Minor Themes

[52455 rows x 5 columns]

Snippets

List official versioned releases of the ontology:

    list(totolo.remote.versions())

Load the v2023.06 release:

    ontology = totolo.remote.version('v2023.06')

Create an excel sheet with all the usages of the theme "loyalty" as well as any child theme of the same:

    df = ontology.theme['loyalty'].descendants().dataframe(motivation=True, descriptions=True)
    df.to_excel("/mnt/d/repos/themelist-loyalty.xlsx", "loyalty")

Find theme entries in stories according to some criteria. For example, find empty motivations:

    empty_motivations = [
        (story, weight, part)
        for story in ontology.stories()
        for weight, part in story.iter_theme_entries()
        if part.motivation.strip() == ""
    ]

Getting Help

If you encounter a bug, please file a minimal reproducible example on GitHub issues. For feature requests and other matters, please post on the GitHub discussions board.

Code Test Coverage

codecov

License

All code in this repository is published with the MIT license.

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Python package for reading/writing Literary Theme Ontology data.

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