Need to use the same processing function for multiple Kafka topics with different consumer groups in Spring Cloud Stream

[Haibarapink]

Need to use the same processing function for multiple Kafka topics with different consumer groups in Spring Cloud Stream
Here is my application.yml:

spring:
  cloud:
    function:
      definition: streamProcess  
    stream:
      management:
        endpoint:
          health:
            show-details: always
            binders:
              enabled: true
      
      bindings:

        streamProcess-in-0:
          destination: TOPIC_A
          group: GROUP_A
          binder: kafkaBinder
          consumer:
            batch-mode: false
            concurrency: 1
            #client-id: consumer-group-a


        streamProcess-in-1:
          destination: TOPIC_B
          group: GROUP_B
          binder: kafkaBinder
          consumer:
            batch-mode: false
            concurrency: 1
            #client-id: consumer-group-b

      binders:
        kafkaBinder:
          type: kafka
          environment:
            spring:
              kafka:
                bootstrap-servers: kafka-server1:9092,kafka-server2:9092,kafka-server3:9092
                properties:
                  security.protocol: SASL_PLAINTEXT
                  sasl.mechanism: PLAIN
                  sasl.jaas.config: >-
                    org.apache.kafka.common.security.plain.PlainLoginModule required
                    username="YOUR_USERNAME"
                    password="YOUR_PASSWORD";

                  enable.auto.commit: true
                  max.poll.records: 30000
                  max.poll.interval.ms: 600000  
                  session.timeout.ms: 800000    
                  heartbeat.interval.ms: 200000 
            cloud:
              stream:
                kafka:
                  binder:
                    auto-create-topics: false

But Spring app could process the message from TOPIC_B. Thanks a lot!!!