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A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
2fd4d7e2e0
Add the replace_icon_name_with_url parameter to the client's fetch_user and fetch_user_v1 methods. |
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examples | ||
mihomo | ||
.gitignore | ||
LICENSE | ||
pyproject.toml | ||
README.md |
mihomo
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
An example for https://api.mihomo.me/sr_info_parsed/800333171?lang=en
import asyncio
from mihomo import MihomoAPI, Language
client = MihomoAPI(language=Language.EN)
async def main():
data = await client.fetch_user(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)}")
asyncio.run(main())
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))