Avro Python from CSV-Avro.io.AvroTypeException：数据不是模式的示例

我是Avro的新手。我试图解析一个包含一个字符串值和一个int值的简单CSV文件，但我得到了一个错误：avro.io.AvroTypeException:数据不是模式的示例

我使用的模式是：

{"namespace": "paymenttransaction",
 "type": "record",
 "name": "Payment",
 "fields": [
     {"name": "TransactionId", "type": "string"},
     {"name": "Id",  "type": "int"}
 ]
}

CSV文件包含以下内容：

TransactionId,Id
2018040101000222749,1

我为制作人运行的Python代码是：

from confluent_kafka import avro
from confluent_kafka.avro import AvroProducer
import csv

value_schema = avro.load('/home/daniela/avro/example.avsc')

AvroProducerConf = {'bootstrap.servers': 'localhost:9092',
                    'schema.registry.url': 'http://localhost:8081',
                    }

avroProducer = AvroProducer(AvroProducerConf, default_value_schema=value_schema)

with open('/home/usertest/avro/data/paymenttransactions.csv') as file:
    reader = csv.DictReader(file, delimiter=",")
    for row in reader:

        avroProducer.produce(topic='test', value=row)
        print(row)
        avroProducer.flush()

---

我做错了什么？

这是因为Id仍然是字符串，而schema需要int

尝试：

with open('/home/usertest/avro/data/paymenttransactions.csv') as file:
    reader = csv.DictReader(file, delimiter=",")
    for row in reader:
        data_set = {"TransactionId": row["TransactionId"], "Id": int(row["Id"])}
        avroProducer.produce(topic='test', value=data_set)
        print(row)
        avroProducer.flush()