coraline 0.1.2

Use Pydantic Models to handle AWS DynamoDB tables

Welcome to Coraline

Coraline is a Python library that aims to use Pydantic models to work with AWS DynamoDB tables.

Install

$ pip install coraline

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Documentation

• TODO

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Quick Start:

import uuid
from enum import Enum
from coraline import CoralModel, KeyField, HashType
from pydantic import SecretStr, Field


class UserType(Enum):
    USER = "USER"
    ADMIN = "ADMIN"


class Users(CoralModel):
    user_id: uuid.UUID = KeyField(default=lambda: uuid.uuid4(), hash_key=HashType.HASH, alias="userId")
    user_type: UserType = KeyField(..., hash_type=HashType.RANGE, alias="userType")
    name: str
    age: int = Field(..., gt=0)
    password: SecretStr


Users.get_or_create_table()
new_user = Users(name="John Doe", user_type=UserType.USER, age=30, password="123456")
new_user.save()

This class will create a DynamoDB table named Users, with PAY_PER_REQUEST billing mode and using default AWS session, with the following fields:

• userId as a String. It's the Table's Hash Key.
• userType as a String. It's the Table's Range Key.
• name as a String
• email as a Number
• password as a String

Configuring the table

Use the CoralConfig class to configure your table.

import uuid
from enum import Enum
from coraline import CoralModel, KeyField, HashType, CoralConfig, BillingMode
from pydantic import SecretStr, Field


class UserType(Enum):
    USER = "USER"
    ADMIN = "ADMIN"


def to_camel(string: str) -> str:
    return ''.join(word.capitalize() for word in string.split('_'))


# CoralModel is a subclass of Pydantic's BaseModel
class Users(CoralModel):
    # CoralConfig is a subclass of Pydantic's ConfigDict
    model_config = CoralConfig(
        table_name="MyUsers",
        billing_mode=BillingMode.PROVISIONED,
        read_capacity_units=5,
        write_capacity_units=5,
        alias_generator=to_camel,
        extra_table_params={
            "DeletionProtectionEnabled": True,
            "Tags": [
                {
                    "Key": "Project",
                    "Value": "MyProject"
                }
            ]
        }
    )

    # KeyField is a sub method of Pydantic's Field
    user_id: uuid.UUID = KeyField(default=lambda: uuid.uuid4(), hash_key=HashType.HASH)
    user_type: UserType = KeyField(..., hash_type=HashType.RANGE)
    name: str
    age: int = Field(..., gt=0)
    password: SecretStr

For Table Name, Billing Methods, you can use the BillingMode and Capacity Units constants. For any other parameter accepted by boto3's create_table use the extra_table_params parameter.

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Configuring the Client

To configure boto3's client credentials, Coraline will:

1. Check for Class specific configuration in model_config
2. Check for Coraline Environment Variables ( ex. CORALINE_AWS_REGION, CORALINE_AWS_ACCESS_KEY_ID, CORALINE_AWS_SECRET_ACCESS_KEY)
3. Check for AWS Environment Variables (ex. AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)

Env Example:

# Add to .env file:
AWS_REGION="local"
CORALINE_ENDPOINT_URL="http://localhost:8000"

Class Example:

class Users(CoralModel):
    model_config = CoralConfig(
        aws_region="local",
        endpoint_url="http://localhost:8000"
    )

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Basic Operations

Get or Create Table

Use to get Table info or create the table if it doesn't exist.

Users.get_or_create_table()

Check if Record exists

Use to check if a record exists in the table. You need to pass on the parameters all hash and range keys defined in Model:

user_exists = Users.exists(user_id="12345678-1234-1234-1234-123456789012", user_type=UserType.USER)

Get Record

Use to get a record from the table. You need to pass on the parameters all hash and range keys defined in Model:

user = Users.get(user_id="12345678-1234-1234-1234-123456789012", user_type=UserType.USER)

Save Record

Use to save a record in the table. You need to pass on the parameters all hash and range keys defined in Model:

new_user = Users(name="John Doe", user_type=UserType.USER, age=30, password="123456")
new_user.save()

Using boto3's Client

You can use boto3's client to perform any operation you need. Just use the get_client method:

new_user = Users(name="John Doe", user_type=UserType.USER, age=30, password="123456")
new_user.save()
new_user.get_client().create_backup(TableName=new_user.get_table_name(), BackupName="MyBackup")

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Future Implementations

• Add support for Query and Scan operations
• Add support for Global and Local Secondary Indexes
• Add Documentation

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Not working?

Don't panic. Get a towel and, please, open an issue.