langchain_community.utility.steam.SteamWebAPIWrapper

class langchain_community.utility.steam.SteamWebAPIWrapper

基础：BaseModel

Steam API 的包装器。

通过解析和验证输入参数的数据来创建一个新的模型。

如果输入数据无法解析成有效的模型，则引发 ValidationError。

param operations: List[dict] = [{'mode': 'get_game_details', 'name': 'Get Game Details', 'description': '\n    This tool is a wrapper around python-steam-api\'s steam.apps.search_games API and \n    steam.apps.get_app_details API, useful when you need to search for a game.\n    The input to this tool is a string specifying the name of the game you want to \n    search for. For example, to search for a game called "Counter-Strike: Global \n    Offensive", you would input "Counter-Strike: Global Offensive" as the game name.\n    This input will be passed into steam.apps.search_games to find the game id, link \n    and price, and then the game id will be passed into steam.apps.get_app_details to \n    get the detailed description and supported languages of the game. Finally the \n    results are combined and returned as a string.\n'}, {'mode': 'get_recommended_games', 'name': 'Get Recommended Games', 'description': '\n    This tool is a wrapper around python-steam-api\'s steam.users.get_owned_games API \n    and steamspypi\'s steamspypi.download API, useful when you need to get a list of \n    recommended games. The input to this tool is a string specifying the steam id of \n    the user you want to get recommended games for. For example, to get recommended \n    games for a user with steam id 76561197960435530, you would input \n    "76561197960435530" as the steam id.  This steamid is then utilized to form a \n    data_request sent to steamspypi\'s steamspypi.download to retrieve genres of user\'s \n    owned games. Then, calculates the frequency of each genre, identifying the most \n    popular one, and stored it in a dictionary. Subsequently, use steamspypi.download\n    to returns all games in this genre and return 5 most-played games that is not owned\n    by the user.\n\n'}]

参数 steam: 任何类型 = None

details_of_games(name: str) → str

参数

name (str) –

返回类型

str

get_id_link_price(games: dict) → dict

响应可能包含多个游戏，因此我们需要选择正确的游戏并返回其ID。

参数

games (dict) –

返回类型

dict

get_operations() → List[dict]

返回操作列表。

返回类型

dict[list]

get_steam_id(name: str) → str

参数

name (str) –

返回类型

str

get_users_games(steam_id: str) → List[str]

参数

steam_id (str) –

返回类型

str[list]

parse_to_str(details: dict) → str

解析详情结果。

参数

details (dict) –

返回类型

str

recommended_games(steam_id: str) → str

参数

steam_id (str) –

返回类型

str

remove_html_tags(html_string: str) → str

参数

html_string (str) –

返回类型

str

run(mode: str, game: str) → str

参数

• mode (str) –

• game (str) –

返回类型

str

使用 SteamWebAPIWrapper 的示例

• Steam 游戏推荐与游戏详情