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Honkai: Star Rail Mihomo API Parser (Pydantic Models)
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.
Python
Added on 2025年6月30日21,130
Stars3,090
ForksPython
LanguageProject Introduction
Summary
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.
Problem Solved
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.
Core Features
Pydantic Data Models
Define Pydantic models for core HSR entities like characters, relics, stats, and player profiles, ensuring data integrity.
API Integration & Parsing
Handle requests to the Mihomo API and validate/parse responses directly into Pydantic model instances.
Simplified Data Access
Abstract complex API structures into easy-to-access Python objects, simplifying data usage.
Tech Stack
Python
Pydantic
requests
typing
使用场景
The structured data provided by this library can be used in various Honkai: Star Rail related applications and projects:
场景一：开发玩家数据面板
Details
Build web or desktop applications that display a player's profile, character builds, relic stats, and progress.
User Value
Provides reliable, typed data for displaying complex in-game information clearly and accurately.
场景二：构建数据分析工具
Details
Create tools that analyze character stats, relic efficiencies, or team compositions based on fetched player data.
User Value
Offers structured data ready for computational analysis and algorithm development.
场景三：社区工具/机器人集成
Details
Power Discord bots or other community tools that need to retrieve and present specific player information on demand.
User Value
Simplifies fetching and presenting player data in conversational or automated contexts.
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