Prepare metadata document for Dinosaur Comics
Project description
Dinosaur Comic Metadata Processor
A set of tools for collecting various Ryan North's Dinosaur Comics metadata and compiling them into one JSON document.
It uses transcripts obtained using my other project, https://github.com/janek37/parse_qwantz.
Installation
Install qwantz-metadata
with pip
pip install qwantz-metadata
Usage
You need three directories: one containing the comic transcripts, one containing the footer transcripts, and one containing raw HTML files.
The transcripts and footers are required to be plain text files with filenames like <comic_id> - <image_filename>.txt
, e.g. 0001 - comic2-02.png.txt
.
The filenames of the HTML files are not relevant.
Once the directories are ready, run qwantz-metadata
to print the combined metadata JSON document to the standard output:
$ qwantz-metadata <transcript_dir> <footer_dir> <html_dir> > output.json
Acknowledgments
This program would not be possible without the wonderful comics by Ryan North!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file qwantz_metadata-2024.1.1.tar.gz
.
File metadata
- Download URL: qwantz_metadata-2024.1.1.tar.gz
- Upload date:
- Size: 59.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c46f372947c6520665209e71284aaa5428aca3afaf81c5db88e905175b29e5e |
|
MD5 | 0f954b708ae670af1bea223dcd1e2add |
|
BLAKE2b-256 | 33387964e11ebe91f8b210bee5d7651de09bf58a7682d48154d0ad33ac2b5462 |
File details
Details for the file qwantz_metadata-2024.1.1-py3-none-any.whl
.
File metadata
- Download URL: qwantz_metadata-2024.1.1-py3-none-any.whl
- Upload date:
- Size: 60.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2585da9de39ec0f76cc845be5fce56e39697bacff9a2ed7da5077002fd7c16c0 |
|
MD5 | 3ab9027f1f3d08e3209718b8a92178a4 |
|
BLAKE2b-256 | 2fa5461a53d940bd34bed2ddce55be7381826de3030f66db0212d973d7878b82 |