小编Ton*_*ony的帖子

我使用 Shopify 店面 API 来查询产品列表并将所选项目添加到购物车。

我能够使用 API 列出所有产品，并返回找到的产品的变体 ID

这是返回产品的 GraphQL 查询

{
  shop {
    name
    products(first: 1, query:"title=configurable-handmade-concrete-ball") {
      edges {
        cursor
        node {
          id
          title
          handle
          variants(first:1) {
            edges {
              node {
                id
                title
              }
            }
          }
        }
      }
    }
  }
}

结果

{
  "data": {
    "shop": {
      "name": "VonageTest",
      "products": {
        "edges": [
          {
            "cursor": "eyJvZmZzZXQiOjF9",
            "node": {
              "id": "Z2lkOi8vc2hvcGlmeS9Qcm9kdWN0LzEwNTU2MjYxNTE4",
              "title": "Configurable Handmade Concrete Ball",
              "handle": "configurable-handmade-concrete-ball",
              "variants": {
                "edges": [
                  {
                    "node": {
                      "id": "Z2lkOi8vc2hvcGlmeS9Qcm9kdWN0VmFyaWFudC80MDIwOTc1NjQzMA==",
                      "title": …

我正在使用 sagemaker 并使用批量转换来运行本地变压器。但是，转换似乎没有调用我的自定义代码。

以下是SKlearn初始化

from sagemaker.sklearn.estimator import SKLearn\nsource_dir = \'train\'\nscript_path = \'train.py\'\n\nsklearn = SKLearn(\n    entry_point=script_path,\n    train_instance_type="local_gpu",\n    source_dir=source_dir,\n    role=role,\n    sagemaker_session=sagemaker_session)\nsklearn.fit({\'train\': "file://test.csv"})\n

train.py是一个Python脚本，用于加载训练数据，并将模型保存到S3

批量变换为：

transformer = sklearn.transformer(instance_count=1,\n                                  entry_point=source_dir+"/"+script_path,\n                                  instance_type=\'local_gpu\',\n                                  strategy=\'MultiRecord\',\n                                  assemble_with=\'Line\'\n                                  )\ntransformer.transform("file://test_messages", content_type=\'text/csv\', split_type=\'Line\')\nprint(\'Waiting for transform job: \' + transformer.latest_transform_job.job_name)\ntransformer.wait()\n

file://test_messages包含一个 csv，它是字符串列表

完整的错误是

algo-1-6c5rl_1  | 172.18.0.1 - - [30/Jan/2020:14:14:30 +0000] "GET /ping HTTP/1.1" 200 0 "-" "-"\nalgo-1-6c5rl_1  | 172.18.0.1 - - [30/Jan/2020:14:14:30 +0000] "GET /execution-parameters HTTP/1.1" 404 232 "-" "-"\nalgo-1-6c5rl_1  | 2020-01-30 14:14:30,846 …