SDK of Diaspora Event Fabric: Resilience-enabling services for science from HPC to edge
Project description
Diaspora Event Fabric: Resilience-enabling services for science from HPC to edge
Installation
Recommended Installation with Kafka Client Library
If you plan to utilize the KafkaProducer and KafkaConsumer classes in the SDK, which are extensions of the respective classes from the kafka-python library, we recommend installing the SDK with kafka-python support. This is especially convenient for tutorial purposes and integrating Kafka functionalities in your projects with out-of-box configurations.
To install Diaspora Event SDK with kafka-python, run:
pip install "diaspora-event-sdk[kafka-python]"
Installation Without Kafka Client Library
For scenarios where kafka-python is not required or if you are using other client libraries to communicate with Kafka, you can install the SDK without this dependency.
To install the SDK without Kafka support, simply run:
pip install diaspora-event-sdk
Note that this option does not install the necessary dependency for KafkaProducer and KafkaConsumer below to work.
Use Diaspora Event SDK
Use the SDK to communicate with Kafka (kafka-python Required)
Register Topic (create topic ACLs)
Before you can create, describe, and delete topics we need to set the appropriate ACLs in ZooKeeper. Here we use the Client to register ACLs for the desired topic name.
from diaspora_event_sdk import Client as GlobusClient
c = GlobusClient()
topic = "topic-" + c.subject_openid[-12:]
print(c.register_topic(topic))
print(c.list_topics())
Register a topic also creates it, if the topic previously does not exist.
Start Producer
Once the topic is created we can publish to it. The KafkaProducer wraps the Python KafkaProducer Event publication can be either synchronous or asynchronous. Below demonstrates the synchronous approach.
from diaspora_event_sdk import KafkaProducer
producer = KafkaProducer()
future = producer.send(
topic, {'message': 'Synchronous message from Diaspora SDK'})
print(future.get(timeout=10))
Start Consumer
A consumer can be configured to monitor the topic and act on events as they are published. The KafkaConsumer wraps the Python KafkaConsumer. Here we use the auto_offset_reset to consume from the first event published to the topic. Removing this field will have the consumer act only on new events.
from diaspora_event_sdk import KafkaConsumer
consumer = KafkaConsumer(topic, auto_offset_reset='earliest')
for msg in consumer:
print(msg)
Unregister Topic (remove topic ACLs)
from diaspora_event_sdk import Client as GlobusClient
c = GlobusClient()
topic = "topic-" + c.subject_openid[-12:]
print(c.unregister_topic(topic))
print(c.list_topics())
Use Your Preferred Kafka Client Library
Register and Unregister Topic
The steps are the same as above by using the register_topic, unregister_topic, and list_topics methods from the Client class.
Cluster Connection Details
| Configuration | Value |
|---|---|
| Bootstrap Servers | MSK_SCRAM_ENDPOINT |
| Security Protocol | SASL_SSL |
| Sasl Mechanism | SCRAM-SHA-512 |
| Api Version | 3.5.1 |
| Username | (See instructions below) |
| Password | (See instructions below) |
Execute the code snippet below to obtain your unique username and password for the Kafka cluster:
from diaspora_event_sdk import Client as GlobusClient
c = GlobusClient()
print(c.retrieve_key())
Advanced Usage
Password Refresh
In case that you need to invalidate all previously issued passwords and generate a new one, call the create_key method from the Client class
from diaspora_event_sdk import Client as GlobusClient
c = GlobusClient()
print(c.create_key())
Subsequent calls to retrieve_key will return the new password from the cache. This cache is reset with a logout or a new create_key call.
Common Issues
ImportError: cannot import name 'KafkaProducer' from 'diaspora_event_sdk'
It seems that you ran pip install diaspora-event-sdk to install the Diaspora Event SDK without kafka-python. Run pip install kafka-python to install the necessary dependency for our KafkaProducer and KafkaConsumer classes.
kafka.errors.NoBrokersAvailable and kafka.errors.NodeNotReadyError
These messages might pop up if create_key is called shortly before instanciating a Kafka client. This is because there's a delay for AWS Secret Manager to associate the newly generated credential with MSK. Note that create_key is called internally by kafka_client.py the first time you create one of these clients. Please wait a while (around 1 minute) and retry.
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