docs(data-masking): add docs for data masking utility (aws-powertools…

…#3186)

Makefile

@@ -8,13 +8,13 @@ dev:
 	pip install --upgrade pip pre-commit poetry
 	poetry config --local virtualenvs.in-project true
 	@$(MAKE) dev-version-plugin
-	poetry install --extras "all datamasking-aws-sdk redis"
+	poetry install --extras "all redis"
 	pre-commit install
 
 dev-gitpod:
 	pip install --upgrade pip poetry
 	@$(MAKE) dev-version-plugin
-	poetry install --extras "all datamasking-aws-sdk redis"
+	poetry install --extras "all redis"
 	pre-commit install
 
 format:

README.md

@@ -30,6 +30,7 @@ Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverles
 * **[Event source data classes](https://docs.powertools.aws.dev/lambda/python/latest/utilities/data_classes/)** - Data classes describing the schema of common Lambda event triggers
 * **[Parser](https://docs.powertools.aws.dev/lambda/python/latest/utilities/parser/)** - Data parsing and deep validation using Pydantic
 * **[Idempotency](https://docs.powertools.aws.dev/lambda/python/latest/utilities/idempotency/)** - Convert your Lambda functions into idempotent operations which are safe to retry
+* **[Data Masking](https://docs.powertools.aws.dev/lambda/python/latest/utilities/data_masking/)** -  Protect confidential data with easy removal or encryption
 * **[Feature Flags](https://docs.powertools.aws.dev/lambda/python/latest/utilities/feature_flags/)** - A simple rule engine to evaluate when one or multiple features should be enabled depending on the input
 * **[Streaming](https://docs.powertools.aws.dev/lambda/python/latest/utilities/streaming/)** - Streams datasets larger than the available memory as streaming data.
 

aws_lambda_powertools/shared/functions.py

@@ -96,10 +96,18 @@ def resolve_env_var_choice(
 
 def base64_decode(value: str) -> bytes:
     try:
-        logger.debug("Decoding base64 record item before parsing")
+        logger.debug("Decoding base64 item to bytes")
         return base64.b64decode(value)
     except (BinAsciiError, TypeError):
-        raise ValueError("base64 decode failed")
+        raise ValueError("base64 decode failed - is this base64 encoded string?")
+
+
+def bytes_to_base64_string(value: bytes) -> str:
+    try:
+        logger.debug("Encoding bytes to base64 string")
+        return base64.b64encode(value).decode()
+    except TypeError:
+        raise ValueError(f"base64 encoding failed - is this bytes data? type: {type(value)}")
 
 
 def bytes_to_string(value: bytes) -> str: