Skip to main content

A Python library that counts letter frequency using OpenAI API

Project description

vibecount

A Python library that counts the frequency of letters in a string using OpenAI API.

Features

  • Count frequency of specific letters in text
  • Case-sensitive and case-insensitive counting options
  • Uses OpenAI API for intelligent letter counting
  • Easy to use API
  • Ready for PyPI distribution

Installation

Install the package using pip:

pip install vibecount

Setup

You need to provide your own OpenAI API key. Set it as an environment variable:

export OPENAI_API_KEY=your_openai_api_key_here

Usage

Basic Usage

from vibecount import vibecount

# Count letter 'r' in "strawberry" (case-sensitive by default)
result = vibecount("strawberry", "r")
print(result)  # 3

# Case-insensitive counting
result = vibecount("Strawberry", "R", case_sensitive=False)
print(result)  # 3

# Case-sensitive counting (explicit)
result = vibecount("Strawberry", "R", case_sensitive=True)
print(result)  # 0 (no uppercase 'R' in "Strawberry")

Parameters

  • text (str): The input string to analyze
  • target_letter (str): The letter to count (must be a single character)
  • case_sensitive (bool, optional): Whether to perform case-sensitive counting (default: True)

Return Value

Returns an integer representing the count of the target letter in the text.

Error Handling

The function raises:

  • ValueError: If OpenAI API key is not set or target_letter is not a single character
  • Exception: If OpenAI API call fails

Requirements

  • Python 3.8+
  • OpenAI API key
  • Internet connection for API calls

Dependencies

  • openai>=1.0.0

Development

Running Tests

Install test dependencies:

pip install -r test-requirements.txt

Run tests:

pytest

Run tests with coverage:

pytest --cov=vibecount

Run specific test file:

pytest tests/test_vibecount.py

Test Structure

The test suite includes:

  • Unit tests for all function parameters and edge cases
  • Mock tests for OpenAI API calls (no actual API calls during testing)
  • Error handling validation
  • Input validation tests

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Note

This package uses the OpenAI API for letter counting, which requires an API key and internet connection. Each function call will make a request to OpenAI's servers and will consume API credits.

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

vibeutils-0.1.0.tar.gz (15.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vibeutils-0.1.0-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file vibeutils-0.1.0.tar.gz.

File metadata

  • Download URL: vibeutils-0.1.0.tar.gz
  • Upload date:
  • Size: 15.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for vibeutils-0.1.0.tar.gz
Algorithm Hash digest
SHA256 057ba0ac0b7261d8fa0fe5cddb0be657878abd1ff01f7e1af4981699392e6bf4
MD5 66b2b21a334a0788d76249b20364bbd3
BLAKE2b-256 d3ab3ad8757fd955a277380dc13709cebe2be262213fcecd21644602f8e44a17

See more details on using hashes here.

File details

Details for the file vibeutils-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: vibeutils-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 12.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for vibeutils-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 da41a425600e38a803861f3b072f03c89d1add362d6c055db1a98fcba9338165
MD5 4001da734945f41920ea0062a1bfd544
BLAKE2b-256 f5ab972703ccfb37e0add85555ff8b04433f51caf6f6a1126b1636b2bd94b5c7

See more details on using hashes here.

Supported by

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