从另一个python脚本导入类。

Question

这是带有类algorithmia_utils.py的AlgorithmiaUtils文件

class AlgorithmiaUtils:

def __init__(self, api_key, username, algo_name, local_dir):
    self.api_key = api_key
    self.username = username
    self.algo_name = algo_name
    self.local_dir = local_dir

    self.algo_namespace = f"{self.username}/{self.algo_name}"
    self.algo_script_path = "{}/{}/src/{}.py".format(
        self.local_dir, algo_name, algo_name
    )
    self.dependency_file_path = "{}/{}/{}".format(
        self.local_dir, algo_name, "requirements.txt"
    )

    self.algo_client = Algorithmia.client(self.api_key)

def upload_model_to_algorithmia(
    self, local_path, algorithmia_data_path, model_name
):
    if not self.algo_client.dir(algorithmia_data_path).exists():
        self.algo_client.dir(algorithmia_data_path).create()
    algorithmia_path = "{}/{}".format(algorithmia_data_path, model_name)
    result = self.algo_client.file(algorithmia_path).putFile(local_path)

我想使用来自另一个脚本的函数upload_model_to_algorithmia。

因此，我试图：

import Algorithmia
import algorithmia_utils as algo_utility

并调用该函数：

algo_utility.AlgorithmiaUtils.upload_model_to_algorithmia(
    local_path = local_path, 
    algorithmia_data_path = algorithmia_data_path, 
    model_name = model_name)

返回错误：

TypeError: upload_model_to_algorithmia() missing 1 required positional argument: 'self'

我应该添加一个额外的参数，还是没有正确导入文件，以及如何解决这个问题？

谢谢!

编辑：

这看起来很容易，但到目前为止还没有解决办法。

import Algorithmia
import algorithmia_utils as algo_utility
from algorithmia_utils import AlgorithmiaUtils as xpto

和：

xpto.upload_model_to_algorithmia(
    local_path = local_path, 
    algorithmia_data_path = algorithmia_data_path, 
    model_name = model_name)

返回错误：

TypeError: upload_model_to_algorithmia() missing 1 required positional argument: 'self'

Answer 1

做这个，

from algorithmia_utils import AlgorithmiaUtils

首先创建类对象，

algoutil = AlgorithmiaUtils(api_key = api_key, 
    username = username, 
    algo_name = algo_name,
    local_dir = local_dir,)

现在您已经创建了一个名为algoutil的对象，它属于AlgorithmiaUtils类，它拥有该类可用的所有方法。

然后你这样做来运行你的函数，

algoutil.upload_model_to_algorithmia(local_path = local_path, 
    algorithmia_data_path = algorithmia_data_path, 
    model_name = model_name
)

您需要用所需的信息替换引号后面的参数。

我认为您已经从https://github.com/algorithmiaio/model-deployment/blob/master/xgboost_notebook_to_algorithmia/algorithmia_utils.py获得了代码，但是主要服务是由算法托管的，如果我没有错，您需要在那里创建一个帐户并获取一个api密钥并将其插入到代码中。例如，它看起来像这样，

from algorithmia_utils import AlgorithmiaUtils

algoutil = AlgorithmiaUtils(api_key = '8hf81qhg3t8h12f', 
    username = 'unstuck', 
    algo_name = 'algo1',
    local_dir = '/home/docs/whatever',)

algoutil.upload_model_to_algorithmia(local_path = '/home/docs/whatever/algo.csv', 
    algorithmia_data_path = '/path/to/file', 
    model_name = 'model1'
)

我已经回答了您关于如何创建对象并使用它的问题，但是您需要通过阅读文档来输入关于如何使它工作的正确的参数，这是一个完全不同的问题。