Interactive Tagging Scripts are a collection of Python scripts designed to facilitate the interactive tagging of metadata for CBZ (Comic Book ZIP) files using the ComicTagger tool. They provides a user-friendly interface for processing directories containing CBZ files, allowing users to update metadata fields interactively.
-
Directory and File Listing:
The scripts can list directories and CBZ files in a specified directory, providing users with an overview of available options.
-
Interactive Selection:
Users can interactively choose directories of files or individual CBZ files to work on, making the tagging process more flexible.
-
Metadata Input:
The scripts prompts users to input metadata fields for each CBZ file or use a predefined json file to automatically tag entire directories.
-
Metadata Cleaning:
Metadata inputs are cleaned to ensure proper formatting and replaces certain characters, making them compatible with ComicTagger.
-
Volume Number Extraction:
The scripts can extract volume numbers from filenames automatically, providing additional information for the tagging process.
-
Error Handling:
The scripts incorporates error handling for invalid user inputs and provides clear error messages.
-
User-Friendly Interface:
The scripts utilize the Colorama library for colored console output, enhancing the user experience.
- Clone the Repository:
git clone https://github.com/SleepingPanda/interactive-tagging-scripts.git cd interactive-tagging-scripts - Install Dependencies:
pip install -r requirements.txt - Run the Scripts:
- To process a specific directory:
python cbz_tagging.py -d /path/to/your/directory - To process the current working directory or select a directory interactively:
python cbz_tagging.py - To automatically tag an entire dir of files:
python manga_dir_tagging.py
-
Follow On-Screen Instructions:
The scripts will prompt you to choose from directories or individual CBZ files and interactively input metadata.
Contributions are welcome! Feel free to fork the repository, make improvements, and submit a pull request.
These scripts are licensed under the GPLv3 License.