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如何捕捉浮士德 python json 序列化错误?

[英]How to catch faust python json serialization error?

I have simple faust agent.我有简单的浮士德代理。 It consumes jsons from kafka topic, and parses them to dicts by default faust serializator:它使用来自 kafka 主题的 json,并默认将它们解析为 dicts faust 序列化器:

@app.agent(source_topic, sink=[destination_topic])
async def fetch(records):
    async for record in records:
        result = do_some_stuff(record)
        yield result

The deserialization itself happens somewhere outside my code, it managed by faust framework, not by me.反序列化本身发生在我的代码之外的某个地方,它由 faust 框架管理,而不是由我管理。 How I can catch and process deserialization exceptions, eg in case of invalid json?如何捕获和处理反序列化异常,例如在无效 json 的情况下?

You could manually serialize your data and catch your error:您可以手动序列化数据并捕获错误:

topic = app.topic('custom', value_type=bytes)

@app.agent
async def processor(stream):
    async for payload in stream:
        data = json.loads(payload)

source: https://faust.readthedocs.io/en/latest/userguide/models.html来源: https://faust.readthedocs.io/en/latest/userguide/models.html

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