MetaCubeX / mihomo
A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing MetaCubeX/mihomo in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Summary (README)
Previewmihomo
A simple python pydantic model (type hint and autocompletion support) for Honkai: Star Rail parsed data from the Mihomo API.
API url: https://api.mihomo.me/sr_info_parsed/{UID}?lang={LANG}
Installation
pip install -U git+https://github.com/KT-Yeh/mihomo.git
Usage
Basic
There are two parsed data formats:
- V1:
- URL: https://api.mihomo.me/sr_info_parsed/800333171?lang=en&version=v1
- Fetching: use
client.fetch_user_v1(800333171) - Data model:
mihomo.models.v1.StarrailInfoParsedV1 - All models defined in
mihomo/models/v1directory.
- V2:
- URL: https://api.mihomo.me/sr_info_parsed/800333171?lang=en
- Fetching: use
client.fetch_user(800333171) - Data model:
mihomo.models.StarrailInfoParsed - All models defined in
mihomo/modelsdirectory.
If you don't want to use client.get_icon_url to get the image url everytime, you can use client.fetch_user(800333171, replace_icon_name_with_url=True) to get the parsed data with asset urls.
Example
import asyncio
from mihomo import Language, MihomoAPI
from mihomo.models import StarrailInfoParsed
from mihomo.models.v1 import StarrailInfoParsedV1
client = MihomoAPI(language=Language.EN)
async def v1():
data: StarrailInfoParsedV1 = await client.fetch_user_v1(800333171)
print(f"Name: {data.player.name}")
print(f"Level: {data.player.level}")
print(f"Signature: {data.player.signature}")
print(f"Achievements: {data.player_details.achievements}")
print(f"Characters count: {data.player_details.characters}")
print(f"Profile picture url: {client.get_icon_url(data.player.icon)}")
for character in data.characters:
print("-----------")
print(f"Name: {character.name}")
print(f"Rarity: {character.rarity}")
print(f"Level: {character.level}")
print(f"Avatar url: {client.get_icon_url(character.icon)}")
print(f"Preview url: {client.get_icon_url(character.preview)}")
print(f"Portrait url: {client.get_icon_url(character.portrait)}")
async def v2():
data: StarrailInfoParsed = await client.fetch_user(800333171, replace_icon_name_with_url=True)
print(f"Name: {data.player.name}")
print(f"Level: {data.player.level}")
print(f"Signature: {data.player.signature}")
print(f"Profile picture url: {data.player.avatar.icon}")
for character in data.characters:
print("-----------")
print(f"Name: {character.name}")
print(f"Rarity: {character.rarity}")
print(f"Portrait url: {character.portrait}")
asyncio.run(v1())
asyncio.run(v2())
Tools
from mihomo import tools
Remove Duplicate Character
data = await client.fetch_user(800333171)
data = tools.remove_duplicate_character(data)
Merge Character Data
old_data = await client.fetch_user(800333171)
# Change characters in game and wait for the API to refresh
# ...
new_data = await client.fetch_user(800333171)
data = tools.merge_character_data(new_data, old_data)
Data Persistence
Take pickle and json as an example
import pickle
import zlib
from mihomo import MihomoAPI, Language, StarrailInfoParsed
client = MihomoAPI(language=Language.EN)
data = await client.fetch_user(800333171)
# Save
pickle_data = zlib.compress(pickle.dumps(data))
print(len(pickle_data))
json_data = data.json(by_alias=True, ensure_ascii=False)
print(len(json_data))
# Load
data_from_pickle = pickle.loads(zlib.decompress(pickle_data))
data_from_json = StarrailInfoParsed.parse_raw(json_data)
print(type(data_from_pickle))
print(type(data_from_json))