[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2160":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":30,"readmeContent":31,"aiSummary":32,"trendingCount":16,"starSnapshotCount":16,"syncStatus":33,"lastSyncTime":34,"discoverSource":35},2160,"mihomo","MetaCubeX\u002Fmihomo","MetaCubeX","A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.","https:\u002F\u002Fwiki.metacubex.one",null,"Python",31238,4148,145,410,0,33,336,1277,199,120,"MIT License",false,"main",true,[27,5,28,29],"honkai-star-rail","python","star-rail-api","2026-06-12 04:00:13","# mihomo\nA simple python pydantic model (type hint and autocompletion support) for Honkai: Star Rail parsed data from the Mihomo API.\n\nAPI url: https:\u002F\u002Fapi.mihomo.me\u002Fsr_info_parsed\u002F{UID}?lang={LANG}\n\n## Installation\n```\npip install -U git+https:\u002F\u002Fgithub.com\u002FKT-Yeh\u002Fmihomo.git\n```\n\n## Usage\n\n### Basic\nThere are two parsed data formats:\n- V1:\n  - URL: https:\u002F\u002Fapi.mihomo.me\u002Fsr_info_parsed\u002F800333171?lang=en&version=v1\n  - Fetching: use `client.fetch_user_v1(800333171)`\n  - Data model: `mihomo.models.v1.StarrailInfoParsedV1`\n  - All models defined in `mihomo\u002Fmodels\u002Fv1` directory.\n- V2: \n  - URL: https:\u002F\u002Fapi.mihomo.me\u002Fsr_info_parsed\u002F800333171?lang=en\n  - Fetching: use `client.fetch_user(800333171)`\n  - Data model: `mihomo.models.StarrailInfoParsed`\n  - All models defined in `mihomo\u002Fmodels` directory.\n\nIf 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.\n\n### Example\n```py\nimport asyncio\n\nfrom mihomo import Language, MihomoAPI\nfrom mihomo.models import StarrailInfoParsed\nfrom mihomo.models.v1 import StarrailInfoParsedV1\n\nclient = MihomoAPI(language=Language.EN)\n\n\nasync def v1():\n    data: StarrailInfoParsedV1 = await client.fetch_user_v1(800333171)\n\n    print(f\"Name: {data.player.name}\")\n    print(f\"Level: {data.player.level}\")\n    print(f\"Signature: {data.player.signature}\")\n    print(f\"Achievements: {data.player_details.achievements}\")\n    print(f\"Characters count: {data.player_details.characters}\")\n    print(f\"Profile picture url: {client.get_icon_url(data.player.icon)}\")\n    for character in data.characters:\n        print(\"-----------\")\n        print(f\"Name: {character.name}\")\n        print(f\"Rarity: {character.rarity}\")\n        print(f\"Level: {character.level}\")\n        print(f\"Avatar url: {client.get_icon_url(character.icon)}\")\n        print(f\"Preview url: {client.get_icon_url(character.preview)}\")\n        print(f\"Portrait url: {client.get_icon_url(character.portrait)}\")\n\n\nasync def v2():\n    data: StarrailInfoParsed = await client.fetch_user(800333171, replace_icon_name_with_url=True)\n\n    print(f\"Name: {data.player.name}\")\n    print(f\"Level: {data.player.level}\")\n    print(f\"Signature: {data.player.signature}\")\n    print(f\"Profile picture url: {data.player.avatar.icon}\")\n    for character in data.characters:\n        print(\"-----------\")\n        print(f\"Name: {character.name}\")\n        print(f\"Rarity: {character.rarity}\")\n        print(f\"Portrait url: {character.portrait}\")\n\nasyncio.run(v1())\nasyncio.run(v2())\n```\n\n### Tools\n`from mihomo import tools`\n#### Remove Duplicate Character\n```py\n    data = await client.fetch_user(800333171)\n    data = tools.remove_duplicate_character(data)\n```\n\n#### Merge Character Data\n```py\n    old_data = await client.fetch_user(800333171)\n\n    # Change characters in game and wait for the API to refresh\n    # ...\n\n    new_data = await client.fetch_user(800333171)\n    data = tools.merge_character_data(new_data, old_data)\n```\n\n### Data Persistence\nTake pickle and json as an example\n```py\nimport pickle\nimport zlib\nfrom mihomo import MihomoAPI, Language, StarrailInfoParsed\n\nclient = MihomoAPI(language=Language.EN)\ndata = await client.fetch_user(800333171)\n\n# Save\npickle_data = zlib.compress(pickle.dumps(data))\nprint(len(pickle_data))\njson_data = data.json(by_alias=True, ensure_ascii=False)\nprint(len(json_data))\n\n# Load\ndata_from_pickle = pickle.loads(zlib.decompress(pickle_data))\ndata_from_json = StarrailInfoParsed.parse_raw(json_data)\nprint(type(data_from_pickle))\nprint(type(data_from_json))\n```\n","mihomo 是一个用于解析《崩坏：星穹铁道》玩家数据的简单 Python Pydantic 模型库，这些数据来自 Mihomo API。该项目支持类型提示和自动补全功能，方便开发者处理游戏内角色、成就等信息。它提供了两种数据格式（V1 和 V2），并允许用户选择是否将图标名称替换为 URL 以简化图像资源获取过程。此外，mihomo 还包含一些实用工具如去除重复角色等功能。适用于需要分析或展示《崩坏：星穹铁道》玩家信息的各种应用场景，例如社区网站、数据分析工具或者个人项目等。",2,"2026-06-11 02:48:29","top_language"]