CLI tool to summarize code in a repo.
Project description
👻 repoGhost
repoGhost is a command-line tool to scan a local code repository, split files into chunks, and summarize each chunk using an LLM (e.g., GPT-4o). Summaries are stored in a dedicated summary directory, and repeated runs skip unchanged files to save cost.
Features
- Hash-based caching: Skips unchanged files (no repeated LLM calls).
- Auto
.gitignore: Automatically adds the summary directory to.gitignoreif found. - Dedicated Summary Directory: Creates a
summaryfolder for all outputs. - Clipboard: Copies the last summary to your clipboard for easy reference.
- Configurable chunk size: Choose how many lines per chunk.
- Repository Map: Generates a hierarchical view of your repository structure at the top of the summary.
- CWD Defaults: Defaults to analyzing the current working directory if no path is specified.
Installation
pip install repoGhost
Usage
Simply run in your project directory:
repoGhost
Or specify a different repository path:
repoGhost /path/to/your/repo
Parameters
--repo_path: Optional path to the local repo (defaults to current directory).--lines_per_chunk: Lines per chunk for summarizing (default30).--context-size, -c: Controls the snippet size extracted from files. The default value is 8192 characters, but users can set it higher up to a maximum of 32768. If an unsupported value (e.g., negative or too large) is supplied, the application exits with an error message.--api-key: Provide the OpenAI API key. If not provided, the tool checks the OPENAI_API_KEY environment variable or the config file at ~/.repoghostconfig.json.
Example
# Analyze current directory
repoGhost
# Analyze specific directory with custom chunk size
repoGhost /path/to/project --lines_per_chunk 50
# Analyze specific directory with custom context size
repoGhost /path/to/project -c 16384
This generates a summary directory containing:
hash_cache.json: Contains file hashes and chunk summaries (used to skip unchanged files).summaries.json: Contains all chunk summaries (the final output).
The last chunk’s summary is copied to your clipboard automatically.
API Key Configuration
The tool will look for your OpenAI API key in the following order:
- Via the command-line argument
--api-key. - Via the environment variable
OPENAI_API_KEY. - Via a configuration file located at
~/.repoghostconfig.json.
If no API key is found, the tool will exit with an error message. This allows you to avoid passing the API key every time you run the command.
Constants
In the code, the following constants can be modified to suit your needs:
EXCLUDED_DIRS = {
"migrations",
"static",
"media",
"__pycache__",
".git",
"venv",
"node_modules",
"summary", # Excludes the summary directory itself
}
EXCLUDED_EXTENSIONS = {
".pyc", ".css", ".scss", ".png", ".jpg", ".jpeg", ".svg", ".sqlite3"
}
EXCLUDED_FILES = {"manage.py", "wsgi.py", "asgi.py", "package-lock.json"}
VALID_EXTENSIONS = {".py", ".js", ".html", ".json"}
Feel free to add or remove items based on the files you want to skip or process.
Customizing the Prompt & Model
Inside the script, the summarize_chunk function calls an OpenAI model:
openai.ChatCompletion.create(
model="gpt-4o", # or your custom model name
messages=[
{"role": "user", "content": f"Please summarize this code chunk concisely:\n\n{chunk}"}
],
temperature=0.1,
max_tokens=1000
)
You can modify:
- The
modelparameter (e.g.,gpt-3.5-turbo,gpt-4,gpt-4o-mini, etc.). - The prompt text (if you want a different style of summary).
- The
temperatureormax_tokensvalues.
OpenAI API Key
You need an OPENAI_API_KEY set in your environment variables for the script to call OpenAI’s API. For instance:
export OPENAI_API_KEY="sk-1234..."
Then run:
repoGhost --repo_path /path/to/repo
Requirements
See requirements.txt. Python 3.7+ recommended.
openaipypercliprich
Development / Local Install
- Clone this repo:
git clone https://github.com/georgestander/repoGhost.git cd repoGhost
- Install in editable mode:
pip install -e .
- Verify the CLI is installed:
repoGhost --help
License
MIT License.
Project details
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