semvec/pypi-packages huggingface dataset:
ccprompt 0.3.0
Extract code context for AI prompts based on a function or class name.
Requires Python: >=3.9

# CCprompt

## Code Context Prompt

### The Problem

When working with AI prompts, it is often necessary to provide code context to the model to generate useful responses. This can be a time-consuming task, especially when working with large codebases.
CCprompt is a tool designed to extract code context for AI prompts based on provided function or class names. It supports both Python and JavaScript/TypeScript codebases.
Providing such context can help AI models generate more accurate and relevant responses.

## Features

- Supports Python languages, JavaScript/TypeScript support coming soon.
- Extracts functions or classes and their inheritance chains.
- Configurable via a JSON configuration file or command-line arguments.
- Excludes virtual environment directories if needed.
- zero dependencies if you are using it for python.

## Installation

```bash
pip install ccprompt
```

## Usage

### first time usage

run `ccprompt` it will create a configuration file `ccprompt_config.json` in the current directory.
fill in the configuration file with the required information. Alternatively, you can pass the required information as command-line arguments.
`ccprompt --config CONFIG`. The configuration file should be in the following format:

```json
{
    "target_name": ["YourClassName", "your_function_name"],
    "project_path": "/full/path/to/project",
    "venv_site_packages_path": "/full/path/to/venv/lib/python3.x/site-packages",
    "exclude_venv": false,
    "output_file": "extracted_code.txt",
    "language": "python"
}

```

then run `ccprompt`, it will extract the code context based on the configuration file. and create `extracted_code.txt` that include extracted code context.

the extracted code will include file path, functions or classes and their inheritance chains.

Star and share the repository if you find it useful.

```bash
# Update your configuration file then run
ccprompt

# Also possible to pass the configuration file as arguments
ccprompt --target_names YourClassName your_function_name

# See all available options
ccprompt --help
```

## Development

```bash
pip install -e .["dev"]
```

## Commands

```bash
#  installs development dependencies specified in setup.py
make install

#  Runs tests
make test

#  Check linting issues
make lint-check

#  Runs linting and fixes issues
make lint-fix

#  Formats code using Ruff
make format
```
http-parse 0.1.5
A simple HTTP request parser.
Requires Python: >=3.7

# HTTP Parse

A lightweight Python library for parsing raw HTTP requests.

## Installation

```bash
pip install http-parse
```

## Usage

```python
from http_parse import parse

raw_request = """
GET /path HTTP/1.1
Host: example.com
User-Agent: curl/8.5.0

{"data": "example"}
"""

parsed = parse(raw_request)
print(parsed.headers)  # Access headers (dictionary format)
print(parsed.body)     # Access body 
print(parsed.path)      # Access requested path (/foo/bar)
```

## Features

- Parse HTTP headers into a dictionary
- Access request body
- Access and modify headers
- Extract URL and HTTP method

## License

MIT License