pynosql 0.0.4

A NOSQL DB Library for Python

PyNOSQL Library for Python

Summary

PyNOSQL is a simple library that wraps two popular NOSQL databases DynamoDB|MongoDB and provides the concept of a model for maintaining, expanding, and reducing data structures stored in NOSQL tables. Extend model.Model and pass to various Dynamo operations to benefit from default values, adding/removing elements, and simplifying use of boto3 with DynamoDB.

Versions

0.0.1 - Support for basic CRUD operations in DynamoDB 0.0.2 - Support for basic update of model with GET|PUT 0.0.3 - Support for NotFound on single record and empty list for multiple records

Getting Started

1. Instantiate a client and pass to the desired provider:

   
   from pynosql.credentials.aws import AWSCredentials
   from pynosql.clients.aws import AWSClient
   from pynosql.providers.dynamo import DynamoDBProvider
   
   credentials = AWSCredentials(
       'AKIAIOSFODNN7EXAMPLE',
       'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
   )
   
   dynamo = DynamoDBProvider(
       AWSClient(self.credentials, 'us-west-2')
   )
   
   

2. Extend base.model.Model to create the desired data structure to be stored in your NOSQL DB:

   
   from pynosql.base.model import Model
   
   class TestModel(Model):
   
       BASE = {
           'test1': None,
           'test2': None,
           'test3': None,
           'test4': None
       }
   
       def __init__(self):
           super(TestModel, self).__init__(self.BASE)
   
   

3. Pass the model with the appropriate call to DynamoDB:

   
   key = {
       'test1': 'value1',
       'test2': 'value2'
   }
   
   response = dynamo.get_record(TestModel(), 'TestTable', Key=key)
   
   

4. For paginating all results into the model, just keep passing the model instance into your DynamoDB calls. The new records will be appended to the list within the model.