The pyawsopstoolkit_validators package provides a comprehensive set of validation classes specifically crafted for use with AWS (Amazon Web Services). These validators are meticulously designed to cater to the unique requirements within the AWS ecosystem, covering a wide array of aspects such as AWS Resource Names (ARNs), Policy Statements, and more. By leveraging these validators, developers can ensure that their AWS-related inputs and configurations adhere to the necessary standards and formats, thereby enhancing the reliability and security of their applications deployed on AWS.
Ready to supercharge your AWS operations? Let's get started with pyawsopstoolkit_validators!
Install pyawsopstoolkit_validators via pip:
pip install pyawsopstoolkit_validatorsThe account_validator package provides methods to validate AWS account information, ensuring accuracy and consistency in account details. It includes constants and methods for validating account numbers.
NUMBER_PATTERN: Regular expression pattern for validating account numbers. The pattern ensures that the account number consists of exactly 12 digits.
number(value: str, raise_error: Optional[bool] = True, custom_error_message: Optional[str] = None) -> bool: Validates if the given AWS account number is valid.
from pyawsopstoolkit_validators.account_validator import number
# Validate account numbers
print(number('123456789012')) # Output: True
print(number('123')) # Output: FalseThe arn_validator package validates AWS ARNs (Amazon Resource Names) according to the AWS ARN format. This package provides methods to validate various aspects of ARNs, including the partition, service, region, account ID, and resource ID.
ARN_PATTERN: Regular expression pattern for AWS ARNs.
arn(value: Union[str, list], raise_error: Optional[bool] = True, custom_error_message: Optional[str] = None) -> bool: Validates if the given ARN(s) match the ARN pattern.
from pyawsopstoolkit_validators.arn_validator import arn
# Validate ARNs
print(arn('arn:aws:ec2:us-east-1:123456789012:vpc/vpc-0e9801d129EXAMPLE', False)) # Output: True
print(arn('arn::iam:us-east-1:123456789012:user', False)) # Output: FalseThe policy_validator package validates AWS IAM policy documents. This package provides methods to validate various aspects of IAM policies, ensuring their correctness and compliance.
VERSION_PATTERN: Regular expression pattern for validating version strings in policies.EFFECT_PATTERN: Regular expression pattern for validating effect strings in policies.PRINCIPAL_PATTERN: Regular expression pattern for validating principal strings in policies.
policy(value: dict, raise_error: Optional[bool] = True, custom_error_message: Optional[str] = None) -> bool: Validates if the given policy dictionary is valid.
from pyawsopstoolkit_validators.policy_validator import policy
# Validate IAM policy documents
print(policy(
{
"Version": "2012-10-17",
"Id": "1",
"Statement": {
"Sid": "1",
"Principal": "*",
"Effect": "Allow",
"Action": "*",
"Resource": "*",
"Condition": {
"Bool": {
"aws:SecureTransport": "true"
}
}
}
}, False
)) # Output: True
print(policy(
{
"Version": "2012-10-17",
"Id": "1"
}, False
)) # Output: FalseThe region_validator packages validates AWS regions. This package provides methods to validate various aspects of AWS, such as region code.
REGION_PATTERN: Regular expression pattern used to validate region codes.
region(value: str, raise_error: Optional[bool] = True, custom_error_message: Optional[str] = None) -> bool: Validates if the given region code is valid.
from pyawsopstoolkit_validators.region_validator import region
# Validate region codes
print(region('eu-west-1', False)) # Output: True
print(region('Ohio', False)) # Output: FalsePlease refer to the MIT License within the project for more information.
We welcome contributions from the community! Whether you have ideas for new features, bug fixes, or enhancements, feel free to open an issue or submit a pull request on GitHub.