mirror of
https://github.com/MetaCubeX/mihomo.git
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85 lines
2.3 KiB
Markdown
85 lines
2.3 KiB
Markdown
# mihomo
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A simple Python Pydantic model (type hint and autocompletion support) for Honkai: Star Rail parsed data from the Mihomo API.
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API url: https://api.mihomo.me/sr_info_parsed/{UID}?lang={LANG}
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## Installation
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```
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pip install -U git+https://github.com/KT-Yeh/mihomo.git
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```
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## Usage
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### Basic
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An example for https://api.mihomo.me/sr_info_parsed/800333171?lang=en
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```py
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import asyncio
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from mihomo import MihomoAPI, Language
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client = MihomoAPI(language=Language.EN)
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async def main():
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data = await client.fetch_user(800333171)
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print(f"Name: {data.player.name}")
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print(f"Level: {data.player.level}")
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print(f"Signature: {data.player.signature}")
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print(f"Achievements: {data.player_details.achievements}")
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print(f"Characters count: {data.player_details.characters}")
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print(f"Profile picture url: {client.get_icon_url(data.player.icon)}")
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for character in data.characters:
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print("-----------")
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print(f"Name: {character.name}")
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print(f"Rarity: {character.rarity}")
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print(f"Level: {character.level}")
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print(f"Avatar url: {client.get_icon_url(character.icon)}")
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print(f"Preview url: {client.get_icon_url(character.preview)}")
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print(f"Portrait url: {client.get_icon_url(character.portrait)}")
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asyncio.run(main())
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```
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### Tools
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`from mihomo import tools`
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#### Remove Duplicate Character
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```py
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data = await client.fetch_user(800333171)
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data = tools.remove_duplicate_character(data)
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```
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#### Merge Character Data
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```py
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old_data = await client.fetch_user(800333171)
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# Change characters in game and wait for the API to refresh
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# ...
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new_data = await client.fetch_user(800333171)
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data = tools.merge_character_data(new_data, old_data)
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```
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### Data Persistence
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Take pickle and json as an example
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```py
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import pickle
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import zlib
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from mihomo import MihomoAPI, Language, StarrailInfoParsed
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client = MihomoAPI(language=Language.EN)
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data = await client.fetch_user(800333171)
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# Save
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pickle_data = zlib.compress(pickle.dumps(data))
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print(len(pickle_data))
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json_data = data.json(by_alias=True, ensure_ascii=False)
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print(len(json_data))
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# Load
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data_from_pickle = pickle.loads(zlib.decompress(pickle_data))
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data_from_json = StarrailInfoParsed.parse_raw(json_data)
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print(type(data_from_pickle))
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print(type(data_from_json))
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```
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