b9ef69a865
Refactor OpcManager initialization and unsubscribe method; enhance logging - Removed the `initialize_from_config` method from `OpcManager` class and adjusted the constructor to handle configuration directly. - Improved the `unsubscribe` method to include detailed logging for non-existent subscriptions. - Updated tests in `test_opc_manager.py` to reflect changes in the `OpcManager` class. - Commented out Docker-related fixtures in `conftest.py` for potential future use. - Enhanced test coverage in `test_single_node.py` and `test_data_manager.py` with additional scenarios and assertions. - Introduced new methods in `Ingestor` and `IngestorManager` classes to manage server subscriptions and leases more effectively. - Added new tests for `Ingestor` class to validate initialization and slot management logic. - Implemented logging improvements across various classes to ensure better traceability of actions and errors.
95 lines
3.6 KiB
Python
95 lines
3.6 KiB
Python
import json
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from logging import Logger
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from time import sleep
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from kafka import KafkaProducer
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from kafka.errors import NoBrokersAvailable
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class DataManager():
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def __init__(self, kafka_servers: str, logger: Logger) -> None:
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"""
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Initializes the DataManager instance with a Kafka producer.
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This constructor attempts to establish a connection to the specified Kafka servers
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and initializes a Kafka producer for sending messages. It retries the connection
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up to 3 times if the Kafka servers are unavailable.
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Args:
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kafka_servers (str): A comma-separated string of Kafka server addresses.
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logger (Logger): A logger instance for logging messages.
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Raises:
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NoBrokersAvailable: If the connection to Kafka servers fails after 3 attempts.
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"""
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self.kafka_producer = None
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for i in range(0, 3):
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logger.info(
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f"Trying ({i}) to initializing DataManager with Kafka servers: {kafka_servers}")
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try:
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self.kafka_producer = KafkaProducer(
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bootstrap_servers=kafka_servers,
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value_serializer=lambda v: json.dumps(v).encode(
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'utf-8'), # Serialize JSON messages
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key_serializer=lambda k: str(
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k).encode('utf-8') if k else None,
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)
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break
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except NoBrokersAvailable:
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logger.error(
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f"Kafka servers {kafka_servers} are not available. Retrying...")
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sleep(5)
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else:
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logger.error(
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f"Failed to connect to Kafka servers {kafka_servers} after 3 attempts.")
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raise NoBrokersAvailable(
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f"Failed to connect to Kafka servers {kafka_servers} after 3 attempts.")
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logger.info(
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f"DataManager initialized with Kafka servers: {kafka_servers}")
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self.logger = logger
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def __del__(self):
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"""Destructor to close the producer connection."""
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print("Closing Kafka producer...")
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if self.kafka_producer:
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self.kafka_producer.flush(timeout=10)
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self.kafka_producer.close()
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else:
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print("Kafka producer is already closed or not initialized.")
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def delivery_report(self, msg: str):
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"""Callback for delivery reports from Kafka."""
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self.logger.debug(
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f"Record successfully produced to {msg.topic} [{msg.partition}] at offset {msg.offset}")
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def delivery_error(self, err: str):
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"""Callback for delivery reports from Kafka."""
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self.logger.error(f"Delivery failed for record : {err}")
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def publish(self, topic: str, data: dict) -> None:
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"""
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Publishes a message to a specified Kafka topic.
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Args:
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topic (str): The name of the Kafka topic to which the message will be published.
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data (dict): The message data to be sent to the Kafka topic.
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Returns:
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None
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Raises:
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Exception: If there is an error during message delivery, it will be handled by the `delivery_error` callback.
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"""
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try:
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self.logger.debug(
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f"Publishing message to topic {topic}: {data}")
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self.kafka_producer.send(
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topic=topic, value=data).add_callback(
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self.delivery_report).add_errback(
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self.delivery_error)
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self.kafka_producer.flush(timeout=10)
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except Exception as e:
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self.logger.error(f"Failed to publish message: {e}")
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