psql2rabbitmq 1.0.6.6

Description:

psql2rabbitmq 1.0.6.6

psql2rabbitmq
psql2rabbitmq is a library that asynchronously forwards postgresql data to the RabbitMQ message queue in the requested template. Using the library, the parametrically given query is run, and the data obtained is converted into the format specified as a template and forwarded to the message queue.
Installation
You can install this library easily with pip.
pip install psql2rabbitmq
DELETE_AFTER_QUERY mode
You can delete records from table after send to queue via setting DELETE_AFTER_QUERY environment variable to True. You should set DELETE_RECORD_COLUMN environment variable to which column should be deleted which defined in select query for this. Example delete sql script should be this format:
DELETE FROM my_table WHERE my_column = %s -- %s is value for my_column which defined in select query. Don't quoute this parameter!

Usage
As a library
import os
import asyncio
from psql2rabbitmq import perform_task

if __name__ == '__main__':
logger = logging.getLogger("psql2rabbitmq")
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', '5672')),
"mq_vhost": os.environ.get('MQ_VHOST'),
"mq_user": os.environ.get('MQ_USER'),
"mq_pass": os.environ.get('MQ_PASS'),
"mq_exchange": os.environ.get('MQ_EXCHANGE', 'psql2rabbitmq'),
"mq_routing_key": os.environ.get('MQ_ROUTING_KEY', 'psql2rabbitmq'),
"db_host": os.environ.get('DB_HOST'),
"db_port": int(os.environ.get('DB_PORT', '5432')),
"db_user": os.environ.get('DB_USER'),
"db_pass": os.environ.get('DB_PASS'),
"db_database": os.environ.get('DB_DATABASE'),
"sql_file_path": os.environ.get('SQL_FILE_PATH'),
"data_template_file_path": os.environ.get('DATA_TEMPLATE_FILE_PATH'),
"consumer_pool_size": os.environ.get('CONSUMER_POOL_SIZE'),
"sql_fetch_size": os.environ.get('SQL_FETCH_SIZE'),
"delete_after_query": strtobool(os.environ.get('DELETE_AFTER_QUERY', 'False')),
"delete_record_column": os.environ.get('DELETE_RECORD_COLUMN'),
"delete_sql_file_path": os.environ.get('DELETE_SQL_FILE_PATH')
}

sql_file_path = """/home/user/your_sql_file.sql"""
data_template_file_path = """/home/user/your_data_template_file.tpl"""
loop = asyncio.get_event_loop()
try:
loop.run_until_complete(
perform_task(
loop=loop,
consumer_pool_size=10,
sql_file_path=sql_file_path,
config=config,
consumer_pool_size=10,
sql_fetch_size=1000
)
)
finally:
loop.close()

This library uses aio_pika, aiopg, jinja2 and psycopg2 packages.
Standalone
You can also call this library as standalone job command. Just set required environment variables and run psql2rabbitmq. 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_EXCHANGE
MQ_ROUTING_KEY
DB_HOST
DB_PORT (optional)
DB_USER
DB_PASS
DB_DATABASE
SQL_FILE_PATH (File path contains select sql query. Ex: /home/user/your_sql_file)
DATA_TEMPLATE_FILE_PATH (File path contains reqested data template. Ex: /home/user/your_data_template_file)
CONSUMER_POOL_SIZE (optional, default value: 10)
SQL_FETCH_SIZE (optional, default value: 1000)
LOG_LEVEL (Logging level. See: Python logging module docs)
DELETE_AFTER_QUERY (Delete record after query mode. Optional, default value: False)
DELETE_RECORD_COLUMN (Column name for value used by where condition. Optional, define when DELETE_AFTER_QUERY mode is active)
DELETE_SQL_FILE_PATH (File path contains delete sql query. Optional, define when DELETE_AFTER_QUERY mode is active)

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