python-nosql-logger 1.0.5

For logging & accessing application data with NoSQL databases (MongoDB & ElasticSearch)

python-nosql-logger

Installation steps if using MongoDB

  pip install pymongo #"pymongo[srv]" or "pymongo[aws]"
  pip install python-nosql-logger

Initialize

For synchronous mongo logger

  from pynosql_logger.loggers import MongoLogger

  connection_string = 'your_mongodb_connection_string'
  logger = MongoLogger(connection_string)

For asynchronous mongo logger

  from pynosql_logger.async_loggers import AsyncMongoLogger

  elastic_url = 'http://127.0.0.1:9200'
  logger = AsyncMongoLogger(elastic_url)

Installation steps if using ElasticSearch

  pip install requests
  pip install python-nosql-logger

Initialize

For synchronous elastic logger

  from pynosql_logger.loggers import ElasticLogger

  elastic_url = 'http://127.0.0.1:9200'
  logger = ElasticLogger(elastic_url)

For asynchronous elastic logger

  from pynosql_logger.async_loggers import AsyncElasticLogger

  elastic_url = 'http://127.0.0.1:9200'
  logger = AsyncElasticLogger(elastic_url)

Add Log

  req_json = {
      'users': {
          'first_name': 'Hitesh',
          'last_name': 'Mishra',
          'email': '[e-mail]'
      }
  }
  resp = logger.add_log(req_json)

Add Bulk Log

  req_json = {
      'users': [{
          'first_name': 'Test',
          'last_name': 'User 1',
          'email': '[e-mail]'
      }, {
          'first_name': 'Test',
          'last_name': 'User 2',
          'email': '[e-mail]'
      }]
  }
  resp = logger.add_log(req_json)

Get Log

You can pass mongo query or elastic query to get the logs

  req_json = {
      'users': {
        'first_name': 'Hitesh'
      }
  }
  resp = logger.get_log(req_json)

Get All Logs

  req_json = {
      'collection': 'users'
  }
  resp = logger.get_all_logs(req_json)