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A Python library using Pydantic for parsing Honkai: Star Rail game data from the Mihomo API, providing structured access to player profiles, characters, relics, and more.
This project provides a Python library built with Pydantic to easily fetch, validate, and parse data from the Mihomo API for Honkai: Star Rail. It turns raw JSON into structured Python objects, making it simple for developers to build applications and tools.
Accessing and structuring raw data from the Mihomo API can be complex and error-prone without clear data models. This project provides robust, type-hinted models and parsing logic.
Define Pydantic models for core HSR entities like characters, relics, stats, and player profiles, ensuring data integrity.
Handle requests to the Mihomo API and validate/parse responses directly into Pydantic model instances.
Abstract complex API structures into easy-to-access Python objects, simplifying data usage.
The structured data provided by this library can be used in various Honkai: Star Rail related applications and projects:
Build web or desktop applications that display a player's profile, character builds, relic stats, and progress.
Provides reliable, typed data for displaying complex in-game information clearly and accurately.
Create tools that analyze character stats, relic efficiencies, or team compositions based on fetched player data.
Offers structured data ready for computational analysis and algorithm development.
Power Discord bots or other community tools that need to retrieve and present specific player information on demand.
Simplifies fetching and presenting player data in conversational or automated contexts.
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