LucidDynamodb 1.0.70

A simple Python wrapper to AWS Dynamodb

A minimalistic wrapper to AWS DynamoDB

Installation

pip install LucidDynamodb

Note: Prerequisite for Python3 development

Table of Contents

• Example
  • Create a new table
  • Get all table names
  • Create a New Item
  • Read an Item
  • Increase an existing attribute value
  • Update existing attribute in an item
  • Add a new attribute in an item
  • Add an attribute to the list
  • Add an attribute to the string set
  • Delete an attribute from the string set
  • Delete an attribute from an item
  • Read items by filter
  • Delete a table

Example

1. Create a new table

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

table_schema = {
	"TableName": "dev_jobs",
	"KeySchema": [
        {
            "AttributeName": "company_name",
            "KeyType": "HASH"
	    },
        {
            "AttributeName": "role_id",
            "KeyType": "RANGE"
	    }
    ],
	"AttributeDefinitions": [
        {
            "AttributeName": "company_name",
            "AttributeType": "S"
	    },
        {
            "AttributeName": "role_id",
            "AttributeType": "S"
	    }
     ],
	"GlobalSecondaryIndexes": [],
	"ProvisionedThroughput": {
		"ReadCapacityUnits": 1,
		"WriteCapacityUnits": 1
	}
}


if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    table_creation_status = db.create_table(
                                    TableName=table_schema.get("TableName"),
                                    KeySchema=table_schema.get("KeySchema"),
                                    AttributeDefinitions=table_schema.get("AttributeDefinitions"),
                                    GlobalSecondaryIndexes=table_schema.get("GlobalSecondaryIndexes"),
                                    ProvisionedThroughput=table_schema.get("ProvisionedThroughput")
    )
    if(table_creation_status == True):
        logging.info("{} table created successfully".format(table_schema.get("TableName")))
    else:
        logging.error("{} table creation failed".format(table_schema.get("TableName")))

Output:

INFO:root:dev_jobs table created successfully

2. Get all table names

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
    table_names = db.read_all_table_names()
    logging.info("Table names: {}".format(table_names))

Output:

INFO:root:Table names: ['dev_jobs', 'user']

3. Create a New Item

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_creation_status = db.create_item(
        TableName="dev_jobs", 
        Item={
            "company_name": "Google",
            "role_id": str(uuid.uuid4()),
            "role": "Software Engineer 1",
            "salary": "$1,50,531",
            "locations": ["Mountain View, California", "Austin, Texas", "Chicago, IL"],
            "yearly_hike_percent": 8,
            "benefits": set(["Internet, Medical, Edu reimbursements", 
                             "Health insurance",
                             "Travel reimbursements"
                             ]),
            "overall_review":{
                "overall_rating" : "4/5",
                "compensation_and_benefits": "3.9/5"
            }
        }
    )
    if(item_creation_status == True):
        logging.info("Item created successfully")
    else:
        logging.warning("Item creation failed")

Output:

INFO:root:Item created successfully

4. Read an Item

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5'
	},
	'company_name': 'Google',
	'role': 'Software Engineer 1',
	'yearly_hike_percent': Decimal('8'),
	'salary': '$1,50,531',
	'benefits': {
		'Health insurance',
		'Travel reimbursements',
		'Internet, Medical, Edu reimbursements'
	}
}

5. Increase an existing attribute value

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    increase_attribute_status = db.increase_attribute_value(
        TableName='dev_jobs',
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        },
        AttributeName="yearly_hike_percent",
        IncrementValue=5
    )

    if(increase_attribute_status==True):
        logging.info("Attribute value increment completed")
    else:
        logging.warning("Attribute value increment failed")

    item = db.read_item(
        TableName='dev_jobs', 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist") 

Output:

INFO:root: Attribute value increment completed
INFO:root: Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5'
	},
	'company_name': 'Google',
	'role': 'Software Engineer 1',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$1,50,531',
	'benefits': {
		'Health insurance',
		'Travel reimbursements',
		'Internet, Medical, Edu reimbursements'
	}
}

6. Update existing attribute in an item

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_update_status = db.update_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        },
        AttributesToUpdate={
            'role': 'Staff Software Engineer 2'
        }
    )
    if(item_update_status == True):
        logging.info("Update is successful")
    else:
        logging.warning("Update failed")

    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:Update is successful
INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5'
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$1,50,531',
	'benefits': {
		'Internet, Medical, Edu reimbursements',
		'Travel reimbursements',
		'Health insurance'
	}
}

7. Add a new attribute in an item

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_update_status = db.update_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        },
        AttributesToUpdate={
            'overall_review.yearly_bonus_percent': 12
        }
    )
    if(item_update_status == True):
        logging.info("Update is successful")
    else:
        logging.warning("Update failed")

    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:Update is successful
INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5',
		'yearly_bonus_percent': Decimal('12')
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$1,50,531',
	'benefits': {
		'Internet, Medical, Edu reimbursements',
		'Travel reimbursements',
		'Health insurance'
	}
}

8. Add an attribute to the list

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_update_status = db.update_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        },
        AttributesToUpdate={
            'locations': "Detroit, Michigan"
        },
        Operation="ADD_ATTRIBUTE_TO_LIST"
    )
    if(item_update_status == True):
        logging.info("Update is successful")
    else:
        logging.warning("Update failed")

    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:Update is successful
INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL', 'Detroit, Michigan'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5',
		'yearly_bonus_percent': Decimal('12')
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$1,50,531',
	'benefits': {
		'Health insurance',
		'Internet, Medical, Edu reimbursements',
		'Travel reimbursements'
	}
}

9. Add an attribute to the string set

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_update_status = db.update_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        },
        AttributesToUpdate={
            'benefits': "Free Food"
        },
        Operation="ADD_ATTRIBUTE_TO_STRING_SET"
    )
    if(item_update_status == True):
        logging.info("Update is successful")
    else:
        logging.warning("Update failed")

    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:Update is successful
INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL', 'Detroit, Michigan'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5',
		'yearly_bonus_percent': Decimal('12')
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$1,50,531',
	'benefits': {
		'Internet, Medical, Edu reimbursements',
		'Health insurance',
		'Free Food',
		'Travel reimbursements'
	}
}

10. Delete an attribute from the string set

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_update_status = db.update_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        },
        AttributesToUpdate={
            'benefits': "Free Food"
        },
        Operation="DELETE_ATTRIBUTE_FROM_STRING_SET"
    )
    if(item_update_status == True):
        logging.info("Update is successful")
    else:
        logging.warning("Update failed")

    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:Update is successful
INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL', 'Detroit, Michigan'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5',
		'yearly_bonus_percent': Decimal('12')
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$1,50,531',
	'benefits': {
		'Health insurance',
		'Internet, Medical, Edu reimbursements',
		'Travel reimbursements'
	}
}

11. Delete an attribute from an item

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    attribute_delete_status = db.delete_attribute(
        TableName="dev_jobs", 
        Key={
              "company_name": "Google",
              "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        }, 
        AttributeName="yearly_hike_percent")

    if(attribute_delete_status == True):
        logging.info("The attribute is deleted successfully")
    else:
        logging.warning("The attribute delete operation failed")

    item = db.read_item(
        TableName="dev_jobs", 
        Key={
            "company_name": "Google",
            "role_id": "e85f79a7-0857-4086-afbd-da13ec76b442"
        })
    if(item != None):
        logging.info("Item: {}".format(item))
    else:
        logging.warning("Item doesn't exist")

Output:

INFO:root:The attribute is deleted successfully
INFO:root:Item: 
{
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL', 'Detroit, Michigan'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5',
		'yearly_bonus_percent': Decimal('12')
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'salary': '$1,50,531',
	'benefits': {
		'Internet, Medical, Edu reimbursements',
		'Travel reimbursements',
		'Health insurance'
	}
}

12. Read items by filter

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    item_creation_status = db.create_item(
        TableName="dev_jobs", 
        Item={
            "company_name": "Google",
            "role_id": str(uuid.uuid4()),
            "role": "Software Architect",
            "salary": "$4,80,000",
            "locations": ["Mountain View, California"],
            "yearly_hike_percent": 13,
            "benefits": set(["Internet reimbursements"]),
            "overall_review":{
                "overall_rating" : "3/5",
                "compensation_and_benefits": "4.2/5"
            }
        }
    )
    if(item_creation_status == True):
        logging.info("Item created successfully")
    else:
        logging.warning("Item creation failed")

    items = db.read_items_by_filter(
                    TableName='dev_jobs', 
                    KeyConditionExpression=Key("company_name").eq("Google") 
    )

    if(len(items)>0):
        logging.info("Items: {}".format(items))
    else:
        logging.warning("Items doesn't exist")

Output:

INFO:root: Item created successfully
INFO:root:Items: 
[{
	'locations': ['Mountain View, California'],
	'role_id': 'b6065b19-4333-43a4-abf7-dedca2880669',
	'overall_review': {
		'compensation_and_benefits': '4.2/5',
		'overall_rating': '3/5'
	},
	'company_name': 'Google',
	'role': 'Software Architect',
	'yearly_hike_percent': Decimal('13'),
	'salary': '$4,80,000',
	'benefits': {
		'Internet reimbursements'
	}
}, {
	'locations': ['Mountain View, California', 'Austin, Texas', 'Chicago, IL', 'Detroit, Michigan'],
	'role_id': 'e85f79a7-0857-4086-afbd-da13ec76b442',
	'overall_review': {
		'compensation_and_benefits': '3.9/5',
		'overall_rating': '4/5',
		'yearly_bonus_percent': Decimal('12')
	},
	'company_name': 'Google',
	'role': 'Staff Software Engineer 2',
	'salary': '$1,50,531',
	'benefits': {
		'Health insurance',
		'Internet, Medical, Edu reimbursements',
		'Travel reimbursements'
	}
}]

13. Delete a table

from LucidDynamodb.Operations import DynamoDb
import os
import logging
import uuid
from boto3.dynamodb.conditions import Key
logging.basicConfig(level=logging.INFO)

AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")

if __name__ == "__main__":
    db = DynamoDb(region_name="us-east-1", 
                aws_access_key_id=AWS_ACCESS_KEY_ID, 
                aws_secret_access_key=AWS_SECRET_ACCESS_KEY)

    delete_table_status = db.delete_table(TableName='dev_jobs')
    if(delete_table_status == True):
        logging.info("Table deleted successfully")
    else:
        logging.warning("Table delete operation failed")

    table_names = db.read_all_table_names()
    logging.info("Table names: {}".format(table_names))

Output:

INFO:root: Table deleted successfully
INFO:root:Table names: ['user']

Running Tests

To run tests, run the following command

pytest -s

Authors

• @dineshsonachalam

Contributing

Contributions are always welcome!

Support

For support, email [e-mail]

License

This project is licensed under the terms of the MIT license.