python调用boto3.client.create_data_source_from_s3

我试图使用来自python项目的AWS机器学习批处理过程。我用的是boto3。我在回复中收到了这个失败消息

尝试分析架构时出错：\'无法反序列化 [Source: java.io。StringReader@60618eb4；行：1，列：2]（通过引用） 链： com.amazon.eml.dp.recordset.SchemaPojo[“dataFileContainsHeader”]）\

我正在使用的.csv文件有效。我知道这一点，因为它是通过控制台过程工作的

这是我的密码；它是django模型中的一个函数，用于保存要处理的文件（输入文件）的url：

知道我做错了什么吗？

去掉逗号

  dataSchema["dataFileContainsHeader"] = True,

这使Python认为您正在添加一个元组。因此，您的数据模式实际上包含（True，）

您的输出如下所示

{"dataFileContainsHeader": [true], "attributes": [{"fieldName": "Var1", "fieldType": "CATEGORICAL"}, {"fieldName": "Var2", "fieldType": "CATEGORICAL"}, {"fieldName": "Var3", "fieldType": "NUMERIC"}, {"fieldName": "Var4", "fieldType": "CATEGORICAL"}, {"fieldName": "Var5", "fieldType": "CATEGORICAL"}, {"fieldName": "Var6", "fieldType": "CATEGORICAL"}], "version": "1.0", "dataFormat": "CSV", "targetFieldName": "Var6"}

"dataFileContainsHeader": true

相反，AWS期待着类似的事情

{"dataFileContainsHeader": [true], "attributes": [{"fieldName": "Var1", "fieldType": "CATEGORICAL"}, {"fieldName": "Var2", "fieldType": "CATEGORICAL"}, {"fieldName": "Var3", "fieldType": "NUMERIC"}, {"fieldName": "Var4", "fieldType": "CATEGORICAL"}, {"fieldName": "Var5", "fieldType": "CATEGORICAL"}, {"fieldName": "Var6", "fieldType": "CATEGORICAL"}], "version": "1.0", "dataFormat": "CSV", "targetFieldName": "Var6"}

"dataFileContainsHeader": true

删除逗号

  dataSchema["dataFileContainsHeader"] = True,

这使Python认为您正在添加一个元组。因此，您的数据模式实际上包含（True，）

您的输出如下所示

{"dataFileContainsHeader": [true], "attributes": [{"fieldName": "Var1", "fieldType": "CATEGORICAL"}, {"fieldName": "Var2", "fieldType": "CATEGORICAL"}, {"fieldName": "Var3", "fieldType": "NUMERIC"}, {"fieldName": "Var4", "fieldType": "CATEGORICAL"}, {"fieldName": "Var5", "fieldType": "CATEGORICAL"}, {"fieldName": "Var6", "fieldType": "CATEGORICAL"}], "version": "1.0", "dataFormat": "CSV", "targetFieldName": "Var6"}

"dataFileContainsHeader": true

相反，AWS期待着类似的事情

{"dataFileContainsHeader": [true], "attributes": [{"fieldName": "Var1", "fieldType": "CATEGORICAL"}, {"fieldName": "Var2", "fieldType": "CATEGORICAL"}, {"fieldName": "Var3", "fieldType": "NUMERIC"}, {"fieldName": "Var4", "fieldType": "CATEGORICAL"}, {"fieldName": "Var5", "fieldType": "CATEGORICAL"}, {"fieldName": "Var6", "fieldType": "CATEGORICAL"}], "version": "1.0", "dataFormat": "CSV", "targetFieldName": "Var6"}

"dataFileContainsHeader": true