GPTize

GPTize is a tool for merging the contents of project files into a single text document. It is specifically designed to create datasets that can be loaded into ChatGPT for analysis or training. I, Aleksei Svetlov, created this tool because I was tired of copying file contents and paths to make GPT understand the context of my project. With GPTize, this process is now automated and streamlined.

Features

• Clipboard functionality: The combined content of project files is automatically copied to the clipboard after generation using pyperclip.
• Custom output file naming: Output file names now include the project name along with the date and time for better traceability.
• Exception handling for files based on .gitignore (including custom .gptignore).
• Support for specifying a target directory with repository root .gitignore.
• Support for various encodings when reading files.
• Customizable output file naming based on the input file or directory name.
• Report generation including all processed files.
• Enhanced limit checks for file size and token count, with warnings logged instead of errors raised when limits are exceeded.

Installation

To install GPTize, simply use pip:

pip install gptize

This command will install GPTize and all its dependencies. After installation, you can use GPTize from the command line anywhere.

Usage

To run GPTize, you have several options:

Basic Usage

Simply invoke GPTize in the command line to process the current directory:

gptize

This will process all files in the current directory and generate a report with a default name like gptize-output-PROJECT_NAME-YYYYMMDD-HHMMSS.txt. The content will also be copied to your clipboard.

Specifying a Directory

To process a specific directory, use:

gptize /path/to/directory

This will process all files in the specified directory and create a report named gptize-output-PROJECT_NAME-YYYYMMDD-HHMMSS.txt, and the content will be copied to your clipboard.

Specifying a Single File

For processing a single file:

gptize /path/to/file.txt

This will process only the specified file and generate a report named gptize-output-file_name-YYYYMMDD-HHMMSS.txt, where file_name is the name of the input file. The result will also be copied to your clipboard.

Specifying Repository Root for .gitignore

If your .gitignore is located in the root of the repository but you want to process files in a different subdirectory, you can use the --repo-root option:

gptize /path/to/directory --repo-root /path/to/repo_root

This will apply the .gitignore from the repository root to files in the specified directory, and the result will be copied to your clipboard.

Custom Output File

If you want to specify a custom output file name, use the -o or --output option:

gptize -o custom_output.txt

This command will override the default naming convention and use custom_output.txt as the output file name. The content will still be copied to your clipboard.

Uploading to ChatGPT

After generating the merged file using GPTize, you can upload it to ChatGPT for improved context understanding. When making requests to ChatGPT, explicitly reference the uploaded file, for instance, using a phrase like ... based on the imported txt file. This approach significantly enhances the quality of ChatGPT's responses by providing it with specific context.

Components

• gptizer.py: The main class for file processing.
• main.py: The entry point of the application.
• models.py: Data models for files and projects.
• output_builder.py: Output constructor for report generation.
• settings.py: Project settings.

Author and Maintainer

Aleksei Svetlov - Creator and main maintainer.

Contact Information

• LinkedIn
• Telegram
• Email: svetlovtech@aabee.tech

License

The project is distributed under the MIT License.

CHANGELOG

[0.4.0] - 2024-09-27

• [Feature] Added clipboard copy functionality
  • The combined output file content is now automatically copied to the clipboard using pyperclip after the content is generated.
• [Enhancement] Improved output file naming
  • Output file names now include the project name in addition to the date and time. This provides better traceability for output files.
• [Enhancement] Updated Settings.custom_output_file
  • The method now accepts the project name as an argument and uses it in the output file name.
• [Enhancement] Reorganized the main logic in main.py
  • Fixed a bug where the gptizer object was used before initialization.
  • Ensured that output file name generation happens after gptizer is properly initialized.

[0.3.0] - 2024-09-26

• [Feature] Support for specifying a target directory with repository root .gitignore
  • Now gptize can be executed from any directory, while still applying .gitignore rules from the root of the repository.
  • Added the --repo-root argument to specify the root directory of the repository where the .gitignore is located.
  • Example usage: gptize src/py_module/ --repo-root . allows processing files in src/py_module/ while applying .gitignore rules from the repository root.
• [Feature] Added support for a custom .gitignore for GPTize
  • Now, you can use an additional custom .gptignore file along with the repository root .gitignore.
  • The custom .gptignore can be specified and will be applied in addition to the main .gitignore.
  • Example usage: gptize src/py_module/ --repo-root . will apply both .gitignore and .gptignore.

[0.2.5] - 2023-11-25

• [Modification] Updated File Size and Token Count Checks
  • Modified the combine_files method in gptizer.py to log a warning instead of raising an error when the total size of the combined content exceeds the MAX_FILE_SIZE_BYTES_LIMIT or MAX_TOKEN_COUNT_LIMIT defined in settings.py.

[0.2.4] - 2023-11-16

• [Feature] Custom Output File Naming
  • Output files now include the name of the processed file or directory, enhancing traceability and identification.
• [Enhancement] Settings Method for Custom File Names
  • Updated the Settings class with a new method to generate output file names incorporating the name of the input file or directory.
• [Modification] Main File Processing Logic
  • Modified main.py to adopt the new output file naming scheme.
• [Fix] Minor Bug Fixes and Performance Improvements
  • Addressed various minor bugs and optimized performance.

[0.2.3] - 2023-11-12

• [Enhancement] Detect binary files and handle errors gracefully
  • Added binary file detection logic in load_file_content method.
  • Improved error handling for file reading.
  • Updated the OutputBuilder to handle binary files properly.