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This project provides robust Python Pydantic models and utilities for parsing Honkai: Star Rail game data fetched from the Mihomo API, ensuring type safety and ease of use for developers.
A Python library offering Pydantic models tailored for Honkai: Star Rail data obtained via the Mihomo API, designed to streamline data integration and usage in applications and tools.
Parsing raw JSON data from game APIs can be error-prone and lacks structure. This project solves this by providing pre-defined, type-safe Pydantic models that automatically validate and structure the data, reducing boilerplate code and potential errors.
Generate Pydantic models directly from API response structures, ensuring type correctness and validation.
Simplify the process of fetching data from the Mihomo API and automatically parsing it into structured Python objects.
Benefit from Pydantic's strong type hinting and validation for reliable data handling in your projects.
The Pydantic models and parsing utilities can be applied in various scenarios requiring access to Honkai: Star Rail game data:
Developers building Discord bots that display player profiles, character details, or relic information.
Provides structured data, significantly simplifying bot development and reducing data parsing errors.
Creating web applications or websites that showcase player stats, team compositions, or build guides using live game data.
Enables rapid development of dynamic content powered by accurate and validated game data.
Writing scripts for personal use to track account progression, analyze character builds, or compare stats.
Offers a convenient and reliable way to access and process personal game data for insights.
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