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从字典数组中检索值

dictionary python-3.x python

Goku · 技术社区 · 3 年前

我正在尝试处理一个json文件,如下面所示,并以下面的输出格式提取其数据以供进一步处理。

json文件

{
    "application_robotics-2.1.610.80350109": [
        "/home/machine_process/application_robotics/services/linear_service/4.106.50109987/robotics.yaml",
        "/home/machine_process/application_robotics/services/linear_service/4.106.50109987/application_robotics-4.106.50109987.zip"
    ],
    "web_robotics-3.116.50100987": [
        "/home/machine_process/application_robotics/services/web_robotics/3.116.50100987/robotics.yaml",
        "/home/machine_process/application_robotics/services/web_robotics/3.116.50100987/web_robotics-3.116.50100987.zip"
    ]
}

预期输出格式

name = "application_robotics-2.1.610.80350109" # where name is a variable to be used in the other portion of the code.
yaml = "/home/machine_process/application_robotics/services/linear_service/4.106.50109987/robotics.yaml" # where yaml is a variable.
zip = "/home/machine_process/application_robotics/services/linear_service/4.106.50109987/application_robotics-4.106.50109987.zip"  # where zip is a variable.

其他条目采用相同的格式。

下面是我想出的代码片段,我并不完全理解其中的逻辑。这里的任何帮助都会非常有用。谢谢

with concurrent.futures.ProcessPoolExecutor() as executor:
    with open(file_path, "r") as input_json:
        json_data = json.load(input_json)
        for key, value in json_data.items():
            name = json_data[key]
            yaml = json_data[value]
            zip = json_data[value]
            file_location = os.path.dirname(tar)
            futures = executor.submit(
                other_function_name, yaml, zip, file_location, name
            )
            results.append(futures)

电流输出:

['home/machine_process/application_robotics/services/linear_service/4.106.50109987/robotics.yaml', '/home/machine_process/application_robotics/services/linear_service/4.106.50109987/application_robotics-4.106.50109987.zip']

1 回复 | 直到 3 年前

enke 3 年前

自从 name 对应于按键; yaml 到列表的第一个元素;和 zip_ 到第二个元素(注意 zip 是python内置的,因此避免将其用作变量名),我们可以在循环字典并将其传递给 executor .

with concurrent.futures.ProcessPoolExecutor() as executor:
    with open(file_path, "r") as input_json:
        json_data = json.load(input_json)
        for name, (yaml, zip_) in json_data.items():
            file_location = os.path.dirname(tar)
            futures = executor.submit(other_function_name, yaml, zip_, file_location, name)
            results.append(futures)

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