Skip to main content

Asynchronous Python client library for the Habitica API

Project description

Habiticalib

Modern asynchronous Python client library for the Habitica API

build codecov PyPI version

Habiticalib is a Python library for interacting with the Habitica API. It provides an organized, typed interface to work with Habitica’s features, including tasks, user data, and avatars. The goal of this library is to simplify integration with Habitica.

Key features

  • Asynchronous: The library is fully asynchronous, allowing non-blocking API calls.
  • Fully typed with Dataclasses: The library is fully typed using Python dataclasses. It handles serialization with mashumaro and orjson for efficient conversion between Habitica API JSON data and Python objects.
  • Dynamic avatar image generation: Habiticalib can fetch all necessary assets (like equipped items, pets, and mounts) and combine them into a single avatar image. This image can be saved to disk or returned as a byte buffer for further processing. Fetch user data: Retrieve and manage user data such as stats, preferences, and items. User data is structured with dataclasses to make it easy to work with.
  • Task management: Support for creating, updating, and retrieving Habitica tasks (to-dos, dailies, habits, rewards) is provided.
  • Task status updates: The library allows updates for task statuses, habit scoring, and daily completion.
  • Tags: Habiticalib supports the creation, updating and deletion of tags.
  • Stat allocation, class cystem and sleep: The library offers methods for stat point allocation and switching between Habitica classes. It also provides the ability to disable the class system and pausing damage(resting in the inn)

Installation

pip install habiticalib

Getting started

Here’s an example to demonstrate basic usage:

import asyncio

from aiohttp import ClientSession

from habiticalib import Habitica, TaskType


async def main():
    async with ClientSession() as session:
       habitica = Habitica(session)

       # Login to Habitica
       habitica.login(username="your_username", password="your_password")

       # Fetch user data
       user_data = await habitica.user()
       print(f"Your current health: {user_data.stats.hp}")

        # Fetch all tasks (to-dos, dailies, habits, and rewards)
        tasks = await habitica.get_tasks()
        print("All tasks:")
        for task in tasks:
            print(f"- {task.text} (type: {task.type})")

        # Fetch only to-dos
        todos = await habitica.get_tasks(task_type=TaskType.TODO)
        print("\nTo-Do tasks:")
        for todo in todos:
            print(f"- {todo.text} (due: {todo.date})")

        # Fetch only dailies
        dailies = await habitica.tasks(task_type=TaskType.DAILY)
        print("\nDailies:")
        for daily in dailies:
            print(f"- {daily.text}")

asyncio.run(main())

Documentation

For full documentation and detailed usage examples, please visit the Habiticalib documentation.

License

This project is licensed under the terms of the MIT license.

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

habiticalib-0.2.0.tar.gz (71.5 kB view details)

Uploaded Source

Built Distribution

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

habiticalib-0.2.0-py3-none-any.whl (27.6 kB view details)

Uploaded Python 3

File details

Details for the file habiticalib-0.2.0.tar.gz.

File metadata

  • Download URL: habiticalib-0.2.0.tar.gz
  • Upload date:
  • Size: 71.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for habiticalib-0.2.0.tar.gz
Algorithm Hash digest
SHA256 cebb095fabc4db12e0c2fc1b4184a085d1bb8f3923118ef41f1e6824f55494f1
MD5 c7bd4b7ed3b2acdc870e2cbf05f2ee00
BLAKE2b-256 8102d12981c62db1eeacefe8bbfad4d69ee80e462dfe4f09e6649968eb311e41

See more details on using hashes here.

File details

Details for the file habiticalib-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: habiticalib-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 27.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for habiticalib-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 70a163767b70794c13d0e99e14d0b01cd0295fb7006ceede642848d909ced75a
MD5 c0fde7d579d830fe8e2cf108e8c9cff9
BLAKE2b-256 d7378d8697d6dbe0fff6e4191653bda9dc2ed5331c8a5cdc5f0975041cccfd69

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