Add Kafka pub/sub backend (#830)

Third backend alongside Pulsar and RabbitMQ. Topics map 1:1 to Kafka
topics, subscriptions map to consumer groups. Response/notify uses
unique consumer groups with correlation ID filtering. Topic lifecycle
managed via AdminClient with class-based retention.

Initial code drop: Needs major integration testing
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---
layout: default
title: "Kafka Pub/Sub Backend Technical Specification"
parent: "Tech Specs"
---
# Kafka Pub/Sub Backend Technical Specification
## Overview
Add Apache Kafka as a third pub/sub backend alongside Pulsar and RabbitMQ.
Kafka's topic model maps naturally to TrustGraph's pub/sub abstraction:
topics are first-class, consumer groups provide competing-consumer
semantics, and the AdminClient handles topic lifecycle.
## Problem
TrustGraph currently supports Pulsar and RabbitMQ. Kafka is widely
deployed and operationally familiar to many teams. Its log-based
architecture provides durable, replayable message streams with
well-understood scaling properties.
## Design
### Concept Mapping
| TrustGraph concept | Kafka equivalent |
|---|---|
| Topic (`class:topicspace:topic`) | Kafka topic (named `topicspace.class.topic`) |
| Subscription (competing consumers) | Consumer group |
| `create_topic` / `delete_topic` | `AdminClient.create_topics()` / `delete_topics()` |
| `ensure_topic` | `AdminClient.create_topics()` (idempotent) |
| Producer | `KafkaProducer` |
| Consumer | `KafkaConsumer` in a consumer group |
| Message acknowledge | Commit offset |
| Message negative acknowledge | Seek back to message offset |
### Topic Naming
The topic name follows the same convention as the RabbitMQ exchange
name:
```
class:topicspace:topic -> topicspace.class.topic
```
Examples:
- `flow:tg:text-completion-request` -> `tg.flow.text-completion-request`
- `request:tg:librarian` -> `tg.request.librarian`
- `response:tg:config` -> `tg.response.config`
### Topic Classes and Retention
Kafka topics are always durable (log-based). The class prefix determines
retention policy rather than durability:
| Class | Retention | Partitions | Notes |
|---|---|---|---|
| `flow` | Long or infinite | 1 | Data pipeline, order preserved |
| `request` | Short (e.g. 300s) | 1 | RPC requests, ephemeral |
| `response` | Short (e.g. 300s) | 1 | RPC responses, shared (see below) |
| `notify` | Short (e.g. 300s) | 1 | Broadcast signals |
Single partition per topic preserves message ordering and makes
offset-based acknowledgment equivalent to per-message ack. This matches
the current `prefetch_count=1` model used across all backends.
### Producers
Straightforward `KafkaProducer` wrapping. Messages are serialised as
JSON (consistent with the RabbitMQ backend). Message properties/headers
map to Kafka record headers.
### Consumers
#### Flow and Request Class (Competing Consumers)
Consumer group ID = subscription name. Multiple consumers in the same
group share the workload (Kafka's native consumer group rebalancing).
```
group_id = subscription # e.g. "triples-store--default--input"
```
#### Response and Notify Class (Per-Subscriber)
This is where Kafka differs from RabbitMQ. Kafka has no anonymous
exclusive auto-delete queues.
Design: use a **shared response topic with unique consumer groups**.
Each subscriber gets its own consumer group (using the existing
UUID-based subscription name from `RequestResponseSpec`). Every
subscriber reads all messages from the topic and filters by correlation
ID, discarding non-matching messages.
This is slightly wasteful — N subscribers each read every response — but
request/response traffic is low-volume compared to the data pipeline.
The alternative (per-instance temporary topics) would require dynamic
topic creation/deletion for every API gateway request, which is
expensive in Kafka (AdminClient operations involve controller
coordination).
### Acknowledgment
#### Acknowledge (Success)
Commit the message's offset. With a single partition and sequential
processing, this is equivalent to per-message ack:
```
consumer.commit(offsets={partition: offset + 1})
```
#### Negative Acknowledge (Failure / Retry)
Kafka has no native nack-with-redelivery. On processing failure, seek
the consumer back to the failed message's offset:
```
consumer.seek(partition, offset)
```
The message is redelivered on the next poll. This matches the current
RabbitMQ `basic_nack(requeue=True)` behaviour: the message is retried
by the same consumer.
### Topic Lifecycle
The flow service creates and deletes topics via the Kafka AdminClient:
- **Flow start**: `AdminClient.create_topics()` for each unique topic
in the blueprint. Topic config includes `retention.ms` based on class.
- **Flow stop**: `AdminClient.delete_topics()` for the flow's topics.
- **Service startup**: `ensure_topic` creates the topic if it doesn't
exist (idempotent via `create_topics` with `validate_only=False`).
Unlike RabbitMQ where consumers declare their own queues, Kafka topics
must exist before consumers connect. The flow service and service
startup `ensure_topic` calls handle this.
### Message Encoding
JSON body, consistent with the RabbitMQ backend. Serialisation uses the
existing `dataclass_to_dict` / `dict_to_dataclass` helpers. Message
properties map to Kafka record headers (byte-encoded string values).
### Configuration
New CLI arguments following the existing pattern:
```
--pubsub-backend kafka
--kafka-bootstrap-servers localhost:9092
--kafka-security-protocol PLAINTEXT
--kafka-sasl-mechanism (optional)
--kafka-sasl-username (optional)
--kafka-sasl-password (optional)
```
The factory in `pubsub.py` creates a `KafkaBackend` instance when
`pubsub_backend='kafka'`.
### Dependencies
`kafka-python-ng` or `confluent-kafka`. The `confluent-kafka` package
provides both producer/consumer and AdminClient in one library with
better performance (C-backed librdkafka), but requires a C extension
build. `kafka-python-ng` is pure Python, simpler to install.
## Key Design Decisions
1. **Shared response topic with filtering** over per-instance temporary
topics. Avoids expensive dynamic topic creation for every RPC
exchange. Acceptable because response traffic is low-volume.
2. **Seek-back for negative acknowledge** over not-committing or retry
topics. Provides immediate redelivery consistent with the RabbitMQ
nack behaviour.
3. **Single partition per topic** to preserve ordering and simplify
offset management. Parallelism comes from multiple topics and
multiple services, not from partitioning within a topic.
4. **Retention-based class semantics** instead of durability flags.
Kafka topics are always durable; short retention achieves the
ephemeral behaviour needed for request/response/notify classes.
## Open Questions
- **Retention values**: exact `retention.ms` for short-lived topic
classes. 300s (5 minutes) is a starting point; may need tuning based
on worst-case restart/reconnect times.
- **Library choice**: `confluent-kafka` vs `kafka-python-ng`. Performance
vs install simplicity trade-off. Could support both behind a thin
wrapper.
- **Consumer poll timeout**: needs to align with the existing
`receive(timeout_millis)` API. Kafka's `poll()` takes a timeout
directly, so this maps cleanly.

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"""
Unit tests for Kafka backend topic parsing and factory dispatch.
Does not require a running Kafka instance.
"""
import pytest
import argparse
from trustgraph.base.kafka_backend import KafkaBackend
from trustgraph.base.pubsub import get_pubsub, add_pubsub_args
class TestKafkaParseTopic:
@pytest.fixture
def backend(self):
b = object.__new__(KafkaBackend)
return b
def test_flow_is_durable(self, backend):
name, cls, durable = backend._parse_topic('flow:tg:text-completion-request')
assert durable is True
assert cls == 'flow'
assert name == 'tg.flow.text-completion-request'
def test_notify_is_not_durable(self, backend):
name, cls, durable = backend._parse_topic('notify:tg:config')
assert durable is False
assert cls == 'notify'
assert name == 'tg.notify.config'
def test_request_is_not_durable(self, backend):
name, cls, durable = backend._parse_topic('request:tg:config')
assert durable is False
assert cls == 'request'
assert name == 'tg.request.config'
def test_response_is_not_durable(self, backend):
name, cls, durable = backend._parse_topic('response:tg:librarian')
assert durable is False
assert cls == 'response'
assert name == 'tg.response.librarian'
def test_custom_topicspace(self, backend):
name, cls, durable = backend._parse_topic('flow:prod:my-queue')
assert name == 'prod.flow.my-queue'
assert durable is True
def test_no_colon_defaults_to_flow(self, backend):
name, cls, durable = backend._parse_topic('simple-queue')
assert name == 'tg.flow.simple-queue'
assert cls == 'flow'
assert durable is True
def test_invalid_class_raises(self, backend):
with pytest.raises(ValueError, match="Invalid topic class"):
backend._parse_topic('unknown:tg:topic')
def test_topic_with_flow_suffix(self, backend):
"""Topic names with flow suffix (e.g. :default) are preserved."""
name, cls, durable = backend._parse_topic('request:tg:prompt:default')
assert name == 'tg.request.prompt:default'
class TestKafkaRetention:
@pytest.fixture
def backend(self):
b = object.__new__(KafkaBackend)
return b
def test_flow_gets_long_retention(self, backend):
assert backend._retention_ms('flow') == 7 * 24 * 60 * 60 * 1000
def test_request_gets_short_retention(self, backend):
assert backend._retention_ms('request') == 300 * 1000
def test_response_gets_short_retention(self, backend):
assert backend._retention_ms('response') == 300 * 1000
def test_notify_gets_short_retention(self, backend):
assert backend._retention_ms('notify') == 300 * 1000
class TestGetPubsubKafka:
def test_factory_creates_kafka_backend(self):
backend = get_pubsub(pubsub_backend='kafka')
assert isinstance(backend, KafkaBackend)
def test_factory_passes_config(self):
backend = get_pubsub(
pubsub_backend='kafka',
kafka_bootstrap_servers='myhost:9093',
kafka_security_protocol='SASL_SSL',
kafka_sasl_mechanism='PLAIN',
kafka_sasl_username='user',
kafka_sasl_password='pass',
)
assert isinstance(backend, KafkaBackend)
assert backend._bootstrap_servers == 'myhost:9093'
assert backend._admin_config['security.protocol'] == 'SASL_SSL'
assert backend._admin_config['sasl.mechanism'] == 'PLAIN'
assert backend._admin_config['sasl.username'] == 'user'
assert backend._admin_config['sasl.password'] == 'pass'
class TestAddPubsubArgsKafka:
def test_kafka_args_present(self):
parser = argparse.ArgumentParser()
add_pubsub_args(parser)
args = parser.parse_args([
'--pubsub-backend', 'kafka',
'--kafka-bootstrap-servers', 'myhost:9093',
])
assert args.pubsub_backend == 'kafka'
assert args.kafka_bootstrap_servers == 'myhost:9093'
def test_kafka_defaults_container(self):
parser = argparse.ArgumentParser()
add_pubsub_args(parser)
args = parser.parse_args([])
assert args.kafka_bootstrap_servers == 'kafka:9092'
assert args.kafka_security_protocol == 'PLAINTEXT'
def test_kafka_standalone_defaults_to_localhost(self):
parser = argparse.ArgumentParser()
add_pubsub_args(parser, standalone=True)
args = parser.parse_args([])
assert args.kafka_bootstrap_servers == 'localhost:9092'

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@ -6,8 +6,6 @@ Does not require a running RabbitMQ instance.
import pytest
import argparse
pika = pytest.importorskip("pika", reason="pika not installed")
from trustgraph.base.rabbitmq_backend import RabbitMQBackend
from trustgraph.base.pubsub import get_pubsub, add_pubsub_args

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@ -15,6 +15,7 @@ dependencies = [
"requests",
"python-logging-loki",
"pika",
"confluent-kafka",
"pyyaml",
]
classifiers = [

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@ -0,0 +1,400 @@
"""
Kafka backend implementation for pub/sub abstraction.
Each logical topic maps to a Kafka topic. The topic name encodes
the full identity:
class:topicspace:topic -> topicspace.class.topic
Producers publish to the topic directly.
Consumers use consumer groups for competing-consumer semantics:
- flow / request: named consumer group (competing consumers)
- response / notify: unique consumer group per instance, filtering
messages by correlation ID (all subscribers see all messages)
The flow service manages topic lifecycle via AdminClient.
Architecture:
Producer --> [Kafka topic] --> Consumer Group A --> Consumer
--> Consumer Group A --> Consumer
--> Consumer Group B --> Consumer (response)
"""
import asyncio
import json
import logging
import uuid
from typing import Any
from confluent_kafka import (
Producer as KafkaProducer,
Consumer as KafkaConsumer,
TopicPartition,
KafkaError,
KafkaException,
)
from confluent_kafka.admin import AdminClient, NewTopic
from .backend import PubSubBackend, BackendProducer, BackendConsumer, Message
from .serialization import dataclass_to_dict, dict_to_dataclass
logger = logging.getLogger(__name__)
# Retention defaults (milliseconds)
LONG_RETENTION_MS = 7 * 24 * 60 * 60 * 1000 # 7 days
SHORT_RETENTION_MS = 300 * 1000 # 5 minutes
class KafkaMessage:
"""Wrapper for Kafka messages to match Message protocol."""
def __init__(self, msg, schema_cls):
self._msg = msg
self._schema_cls = schema_cls
self._value = None
def value(self) -> Any:
"""Deserialize and return the message value as a dataclass."""
if self._value is None:
data_dict = json.loads(self._msg.value().decode('utf-8'))
self._value = dict_to_dataclass(data_dict, self._schema_cls)
return self._value
def properties(self) -> dict:
"""Return message properties from Kafka headers."""
headers = self._msg.headers() or []
return {
k: v.decode('utf-8') if isinstance(v, bytes) else v
for k, v in headers
}
class KafkaBackendProducer:
"""Publishes messages to a Kafka topic.
confluent-kafka Producer is thread-safe, so a single instance
can be shared across threads.
"""
def __init__(self, bootstrap_servers, topic_name, durable):
self._topic_name = topic_name
self._durable = durable
self._producer = KafkaProducer({
'bootstrap.servers': bootstrap_servers,
'acks': 'all' if durable else '1',
})
def send(self, message: Any, properties: dict = {}) -> None:
data_dict = dataclass_to_dict(message)
json_data = json.dumps(data_dict).encode('utf-8')
headers = [
(k, str(v).encode('utf-8'))
for k, v in properties.items()
] if properties else None
self._producer.produce(
topic=self._topic_name,
value=json_data,
headers=headers,
)
self._producer.flush()
def flush(self) -> None:
self._producer.flush()
def close(self) -> None:
self._producer.flush()
class KafkaBackendConsumer:
"""Consumes from a Kafka topic using a consumer group.
Uses confluent-kafka Consumer.poll() for message delivery.
Not thread-safe each instance must be used from a single thread,
which matches the ThreadPoolExecutor pattern in consumer.py.
"""
def __init__(self, bootstrap_servers, topic_name, group_id,
schema_cls, auto_offset_reset='latest'):
self._bootstrap_servers = bootstrap_servers
self._topic_name = topic_name
self._group_id = group_id
self._schema_cls = schema_cls
self._auto_offset_reset = auto_offset_reset
self._consumer = None
def _connect(self):
self._consumer = KafkaConsumer({
'bootstrap.servers': self._bootstrap_servers,
'group.id': self._group_id,
'auto.offset.reset': self._auto_offset_reset,
'enable.auto.commit': False,
})
self._consumer.subscribe([self._topic_name])
logger.info(
f"Kafka consumer connected: topic={self._topic_name}, "
f"group={self._group_id}"
)
def _is_alive(self):
return self._consumer is not None
def ensure_connected(self) -> None:
"""Eagerly connect and subscribe.
For response/notify consumers this must be called before the
corresponding request is published, so that the consumer is
assigned a partition and will see the response message.
"""
if not self._is_alive():
self._connect()
# Force a partition assignment by polling briefly.
# Without this, the consumer may not be assigned partitions
# until the first real poll(), creating a race where the
# request is sent before assignment completes.
self._consumer.poll(timeout=1.0)
def receive(self, timeout_millis: int = 2000) -> Message:
"""Receive a message. Raises TimeoutError if none available."""
if not self._is_alive():
self._connect()
timeout_seconds = timeout_millis / 1000.0
msg = self._consumer.poll(timeout=timeout_seconds)
if msg is None:
raise TimeoutError("No message received within timeout")
if msg.error():
error = msg.error()
if error.code() == KafkaError._PARTITION_EOF:
raise TimeoutError("End of partition reached")
raise KafkaException(error)
return KafkaMessage(msg, self._schema_cls)
def acknowledge(self, message: Message) -> None:
"""Commit the message's offset (next offset to read)."""
if isinstance(message, KafkaMessage) and message._msg:
tp = TopicPartition(
message._msg.topic(),
message._msg.partition(),
message._msg.offset() + 1,
)
self._consumer.commit(offsets=[tp], asynchronous=False)
def negative_acknowledge(self, message: Message) -> None:
"""Seek back to the message's offset for redelivery."""
if isinstance(message, KafkaMessage) and message._msg:
tp = TopicPartition(
message._msg.topic(),
message._msg.partition(),
message._msg.offset(),
)
self._consumer.seek(tp)
def unsubscribe(self) -> None:
if self._consumer:
try:
self._consumer.unsubscribe()
except Exception:
pass
def close(self) -> None:
if self._consumer:
try:
self._consumer.close()
except Exception:
pass
self._consumer = None
class KafkaBackend:
"""Kafka pub/sub backend using one topic per logical topic."""
def __init__(self, bootstrap_servers='localhost:9092',
security_protocol='PLAINTEXT',
sasl_mechanism=None,
sasl_username=None,
sasl_password=None):
self._bootstrap_servers = bootstrap_servers
# AdminClient config
self._admin_config = {
'bootstrap.servers': bootstrap_servers,
}
if security_protocol != 'PLAINTEXT':
self._admin_config['security.protocol'] = security_protocol
if sasl_mechanism:
self._admin_config['sasl.mechanism'] = sasl_mechanism
if sasl_username:
self._admin_config['sasl.username'] = sasl_username
if sasl_password:
self._admin_config['sasl.password'] = sasl_password
logger.info(
f"Kafka backend: {bootstrap_servers} "
f"protocol={security_protocol}"
)
def _parse_topic(self, topic_id: str) -> tuple[str, str, bool]:
"""
Parse topic identifier into Kafka topic name, class, and durability.
Format: class:topicspace:topic
Returns: (topic_name, class, durable)
"""
if ':' not in topic_id:
return f'tg.flow.{topic_id}', 'flow', True
parts = topic_id.split(':', 2)
if len(parts) != 3:
raise ValueError(
f"Invalid topic format: {topic_id}, "
f"expected class:topicspace:topic"
)
cls, topicspace, topic = parts
if cls == 'flow':
durable = True
elif cls in ('request', 'response', 'notify'):
durable = False
else:
raise ValueError(
f"Invalid topic class: {cls}, "
f"expected flow, request, response, or notify"
)
topic_name = f"{topicspace}.{cls}.{topic}"
return topic_name, cls, durable
def _retention_ms(self, cls):
"""Return retention.ms for a topic class."""
if cls == 'flow':
return LONG_RETENTION_MS
return SHORT_RETENTION_MS
def create_producer(self, topic: str, schema: type,
**options) -> BackendProducer:
topic_name, cls, durable = self._parse_topic(topic)
logger.debug(f"Creating producer: topic={topic_name}")
return KafkaBackendProducer(
self._bootstrap_servers, topic_name, durable,
)
def create_consumer(self, topic: str, subscription: str, schema: type,
initial_position: str = 'latest',
**options) -> BackendConsumer:
"""Create a consumer subscribed to a Kafka topic.
Behaviour is determined by the topic's class prefix:
- flow: named consumer group, competing consumers
- request: named consumer group, competing consumers
- response: unique consumer group per instance
- notify: unique consumer group per instance
"""
topic_name, cls, durable = self._parse_topic(topic)
if cls in ('response', 'notify'):
# Per-subscriber: unique group so every instance sees
# every message. Filter by correlation ID happens at
# the Subscriber layer above.
group_id = f"{subscription}-{uuid.uuid4()}"
auto_offset_reset = 'latest'
else:
# Shared: named group, competing consumers
group_id = subscription
auto_offset_reset = (
'earliest' if initial_position == 'earliest'
else 'latest'
)
logger.debug(
f"Creating consumer: topic={topic_name}, "
f"group={group_id}, cls={cls}"
)
return KafkaBackendConsumer(
self._bootstrap_servers, topic_name, group_id,
schema, auto_offset_reset,
)
def _create_topic_sync(self, topic_name, retention_ms):
"""Blocking topic creation via AdminClient."""
admin = AdminClient(self._admin_config)
new_topic = NewTopic(
topic_name,
num_partitions=1,
replication_factor=1,
config={
'retention.ms': str(retention_ms),
},
)
fs = admin.create_topics([new_topic])
for name, f in fs.items():
try:
f.result()
logger.info(f"Created topic: {name}")
except KafkaException as e:
# Topic already exists — idempotent
if e.args[0].code() == KafkaError.TOPIC_ALREADY_EXISTS:
logger.debug(f"Topic already exists: {name}")
else:
raise
async def create_topic(self, topic: str) -> None:
"""Create a Kafka topic with appropriate retention."""
topic_name, cls, durable = self._parse_topic(topic)
retention_ms = self._retention_ms(cls)
await asyncio.to_thread(
self._create_topic_sync, topic_name, retention_ms,
)
def _delete_topic_sync(self, topic_name):
"""Blocking topic deletion via AdminClient."""
admin = AdminClient(self._admin_config)
fs = admin.delete_topics([topic_name])
for name, f in fs.items():
try:
f.result()
logger.info(f"Deleted topic: {name}")
except KafkaException as e:
# Topic doesn't exist — idempotent
if e.args[0].code() == KafkaError.UNKNOWN_TOPIC_OR_PART:
logger.debug(f"Topic not found: {name}")
else:
raise
except Exception as e:
logger.debug(f"Topic delete for {name}: {e}")
async def delete_topic(self, topic: str) -> None:
"""Delete a Kafka topic."""
topic_name, cls, durable = self._parse_topic(topic)
await asyncio.to_thread(self._delete_topic_sync, topic_name)
def _topic_exists_sync(self, topic_name):
"""Blocking topic existence check via AdminClient."""
admin = AdminClient(self._admin_config)
metadata = admin.list_topics(timeout=10)
return topic_name in metadata.topics
async def topic_exists(self, topic: str) -> bool:
"""Check whether a Kafka topic exists."""
topic_name, cls, durable = self._parse_topic(topic)
return await asyncio.to_thread(
self._topic_exists_sync, topic_name,
)
async def ensure_topic(self, topic: str) -> None:
"""Ensure a topic exists, creating it if necessary."""
if not await self.topic_exists(topic):
await self.create_topic(topic)
def close(self) -> None:
pass

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@ -17,6 +17,12 @@ DEFAULT_RABBITMQ_USERNAME = os.getenv("RABBITMQ_USERNAME", 'guest')
DEFAULT_RABBITMQ_PASSWORD = os.getenv("RABBITMQ_PASSWORD", 'guest')
DEFAULT_RABBITMQ_VHOST = os.getenv("RABBITMQ_VHOST", '/')
DEFAULT_KAFKA_BOOTSTRAP = os.getenv("KAFKA_BOOTSTRAP_SERVERS", 'kafka:9092')
DEFAULT_KAFKA_PROTOCOL = os.getenv("KAFKA_SECURITY_PROTOCOL", 'PLAINTEXT')
DEFAULT_KAFKA_SASL_MECHANISM = os.getenv("KAFKA_SASL_MECHANISM", None)
DEFAULT_KAFKA_SASL_USERNAME = os.getenv("KAFKA_SASL_USERNAME", None)
DEFAULT_KAFKA_SASL_PASSWORD = os.getenv("KAFKA_SASL_PASSWORD", None)
def get_pubsub(**config: Any) -> Any:
"""
@ -47,6 +53,25 @@ def get_pubsub(**config: Any) -> Any:
password=config.get('rabbitmq_password', DEFAULT_RABBITMQ_PASSWORD),
vhost=config.get('rabbitmq_vhost', DEFAULT_RABBITMQ_VHOST),
)
elif backend_type == 'kafka':
from .kafka_backend import KafkaBackend
return KafkaBackend(
bootstrap_servers=config.get(
'kafka_bootstrap_servers', DEFAULT_KAFKA_BOOTSTRAP,
),
security_protocol=config.get(
'kafka_security_protocol', DEFAULT_KAFKA_PROTOCOL,
),
sasl_mechanism=config.get(
'kafka_sasl_mechanism', DEFAULT_KAFKA_SASL_MECHANISM,
),
sasl_username=config.get(
'kafka_sasl_username', DEFAULT_KAFKA_SASL_USERNAME,
),
sasl_password=config.get(
'kafka_sasl_password', DEFAULT_KAFKA_SASL_PASSWORD,
),
)
else:
raise ValueError(f"Unknown pub/sub backend: {backend_type}")
@ -65,6 +90,7 @@ def add_pubsub_args(parser: ArgumentParser, standalone: bool = False) -> None:
pulsar_host = STANDALONE_PULSAR_HOST if standalone else DEFAULT_PULSAR_HOST
pulsar_listener = 'localhost' if standalone else None
rabbitmq_host = 'localhost' if standalone else DEFAULT_RABBITMQ_HOST
kafka_bootstrap = 'localhost:9092' if standalone else DEFAULT_KAFKA_BOOTSTRAP
parser.add_argument(
'--pubsub-backend',
@ -122,3 +148,34 @@ def add_pubsub_args(parser: ArgumentParser, standalone: bool = False) -> None:
default=DEFAULT_RABBITMQ_VHOST,
help=f'RabbitMQ vhost (default: {DEFAULT_RABBITMQ_VHOST})',
)
# Kafka options
parser.add_argument(
'--kafka-bootstrap-servers',
default=kafka_bootstrap,
help=f'Kafka bootstrap servers (default: {kafka_bootstrap})',
)
parser.add_argument(
'--kafka-security-protocol',
default=DEFAULT_KAFKA_PROTOCOL,
help=f'Kafka security protocol (default: {DEFAULT_KAFKA_PROTOCOL})',
)
parser.add_argument(
'--kafka-sasl-mechanism',
default=DEFAULT_KAFKA_SASL_MECHANISM,
help='Kafka SASL mechanism',
)
parser.add_argument(
'--kafka-sasl-username',
default=DEFAULT_KAFKA_SASL_USERNAME,
help='Kafka SASL username',
)
parser.add_argument(
'--kafka-sasl-password',
default=DEFAULT_KAFKA_SASL_PASSWORD,
help='Kafka SASL password',
)