rabbitmq_pdfparser

rabbitmq_pdfparser is asynchronous job library that consume RabbitMQ for PDF urls and publish pdf text back to RabbitMQ. It stops when queue is empty.

Installation

You can install this library easily with pip. pip install rabbitmq-pdfparser

Usage

Data must send to source queue should this format:

{"id": "foo", "url": "http://example.com/foo/bar.pdf"}

As a library

import os
import asyncio
from rabbitmq_pdfparser import consume

if __name__ == '__main__':
    logger = logging.getLogger("rabbitmq_pdfparser")
    logger.setLevel(os.environ.get('LOG_LEVEL', "DEBUG"))
    handler = logging.StreamHandler()
    handler.setFormatter(
        logging.Formatter(
            os.environ.get('LOG_FORMAT', "%(asctime)s [%(levelname)s] %(name)s: %(message)s")
        )
    )
    logger.addHandler(handler)

    config = {
      "mq_host": os.environ.get('MQ_HOST'),
      "mq_port": int(os.environ.get('MQ_PORT')), 
      "mq_vhost": os.environ.get('MQ_VHOST'),
      "mq_user": os.environ.get('MQ_USER'),
      "mq_pass": os.environ.get('MQ_PASS'),
      "mq_source_queue": os.environ.get('MQ_SOURCE_QUEUE'),
      "mq_target_exchange": os.environ.get('MQ_TARGET_EXCHANGE'),
      "mq_target_routing_key": os.environ.get('MQ_TARGET_ROUTING_KEY')
    }
  
    loop = asyncio.get_event_loop()
    loop.run_until_complete(
        consume(
          loop=loop,
          consumer_pool_size=10,
          config=config
        )
    )

loop.close()

This library uses PyPDF2, aio_pika and aiohttp packages.

Standalone

You can also call this library as standalone PDF parser job. Just set required environment variables and run rabbitmq_pdfparser. This usecase perfectly fits when you need run it on cronjobs or kubernetes jobs.

Required environment variables:

• MQ_HOST
• MQ_PORT (optional)
• MQ_VHOST
• MQ_USER
• MQ_PASS
• MQ_SOURCE_QUEUE (Queue that job consume urls)
• MQ_TARGET_EXCHANGE (Exchange that job publish texts)
• MQ_TARGET_ROUTING_KEY (Routing key that job publish texts)
• MQ_QUEUE_DURABLE (optional, default value: True)
• CONSUMER_POOL_SIZE (optional, default value: 10)
• LOG_LEVEL (Logging level. See: Python logging module docs)

Example Kubernetes job: You can see it to kube.yaml