Skip to main content

a simple code chat tool inspired by auto coder

Project description

auto-coder-chat-lite

A lightweight AI code generation tool.

English | 中文

Overview

auto-coder-chat-lite is a lightweight tool designed to facilitate code chat and project scaffolding. It provides a command-line interface for interacting with the project, allowing users to add, remove, and list files, as well as request AI-based code modifications.

Installation

To install auto-coder-chat-lite, you need to have Python 3.6 or higher installed. Then, you can install the package using pip:

pip install auto-coder-chat-lite

Usage

After installation, you can run the tool using the following commands:

chat.code

chat.code

This command starts the interactive command-line interface for code chat and project scaffolding. You can use the following commands within this interface:

  • /add_files <file1> <file2> ... - Add files to the current session.
  • /remove_files <file1> <file2> ... - Remove files from the current session.
  • /list_files - List all active files in the current session.
  • /coding <query> - Request the AI to modify code based on requirements.
  • /exclude_dirs <dir1> <dir2> ... - Exclude directories from file searches.
  • /conf [<key> [<value>]] - View or set configuration options.
  • /commit_message - Generate a commit message based on Git diff.
  • /help - Show this help message.
  • /exit - Exit the program.

chat.prompt

chat.prompt

This command is used to render a template using Jinja2. It requires two arguments:

  • template_path: Path to the template file.
  • text_path: Path to the text file to be used as content.

Optionally, you can specify an output file path using the -o or --output_path flag (default is output.txt).

Example usage:

chat.prompt path/to/template.txt path/to/content.txt -o path/to/output.txt

This command will render the template with the provided content, save the result to the specified output file, and copy the rendered content to the clipboard.

Dependencies

The project relies on the following Python packages:

  • colorama==0.4.6
  • loguru==0.7.2
  • markdown-it-py==3.0.0
  • mdurl==0.1.2
  • pathspec==0.12.1
  • prompt_toolkit==3.0.47
  • pydantic==2.8.2
  • pydantic_core==2.20.1
  • Pygments==2.18.0
  • pyperclip==1.9.0
  • rich==13.7.1
  • wcwidth==0.2.13
  • GitPython==3.1.43
  • Jinja2==3.1.4
  • openai==1.44.1

These dependencies are automatically installed when you install auto-coder-chat-lite using pip.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue on the GitHub repository.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or feedback, please contact the author at 251027705@qq.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

auto_coder_chat_lite-0.1.9.tar.gz (34.7 kB view details)

Uploaded Source

Built Distribution

auto_coder_chat_lite-0.1.9-py3-none-any.whl (41.1 kB view details)

Uploaded Python 3

File details

Details for the file auto_coder_chat_lite-0.1.9.tar.gz.

File metadata

  • Download URL: auto_coder_chat_lite-0.1.9.tar.gz
  • Upload date:
  • Size: 34.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for auto_coder_chat_lite-0.1.9.tar.gz
Algorithm Hash digest
SHA256 48e6f4642a616e6ee9453f041b443976c42b7e7faf10407b9d524f597dd857f2
MD5 59f7c66a1773dbcf3cc8893835f9a2d2
BLAKE2b-256 b2c85178924c21612a9bb5c89f6654bc83b7d39c8d461f5576301eaedea86787

See more details on using hashes here.

File details

Details for the file auto_coder_chat_lite-0.1.9-py3-none-any.whl.

File metadata

File hashes

Hashes for auto_coder_chat_lite-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a4cbfd0d186d69c93f52bf6de5d24497b62c9758971e6ff706821ba7212d3678
MD5 f292bd311700060783a9e05d60dcc6d5
BLAKE2b-256 be28981f96a361d7d7b6bd4f3d7f37180be14def069f55da7af45faf7c31931b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page