将json对象反序列化为Faust记录，其中json在键名中有连字符

Question

我有一个JSON对象，它看起来像

{ 
  "timestamp": "2020-06-24T15:32:56.775518Z",
  "record-type": "data",
  "operation": "load",
  "partition-key-type": "primary-key",
  "schema-name": "legacy",
  "table-name": "test"
}

我试着把这些记录反序列化成

class MetadataModel(faust.Record):
    timestamp: str
    record-type: str  # does not work, hyphens in name not allowed
    schema_name: str  # does not work
    tableName: str    # does not work 

我可能遗漏了一些简单的东西，但是如何从键中有连字符的json对象转到python对象呢？任何帮助都将不胜感激！

Answer 1

您可以使用faust.models.fields中的字段类在JSON中提供自定义名称。

import faust
from faust.models.fields import StringField


class MetadataModel(faust.Record):
    timestamp: str
    record_type: str = StringField(input_name='record-type')
    operation: str
    partition_key_type: str = StringField(input_name='partition-key-type')
    schema_name: str = StringField(input_name='schema-name')
    table_name: str = StringField(input_name='table-name')


json_bytes = b"""
    { 
      "timestamp": "2020-06-24T15:32:56.775518Z",
      "record-type": "data",
      "operation": "load",
      "partition-key-type": "primary-key",
      "schema-name": "legacy",
      "table-name": "test"
    }
"""

print(MetadataModel.loads(json_bytes, default_serializer='json'))

输出：

<MetadataModel: timestamp='2020-06-24T15:32:56.775518Z', record_type='data', operation='load', partition_key_type='primary-key', schema_name='legacy', table_name='test'>