fix: InjectSecretString clobbering self arg in class methods (#24)

.github/workflows/python-package.yml

@@ -37,6 +37,8 @@ jobs:
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Lint with PyLint
       run: pylint --rcfile=.pylintrc src/aws_secretsmanager_caching
+    - name: Check formatting with Ruff
+      uses: astral-sh/ruff-action@v3
     - name: Test with pytest
       run: |
         pytest test/unit/

README.md

@@ -11,47 +11,56 @@ The AWS Secrets Manager Python caching client enables in-process caching of secr
 
 To use this client you must have:
 
-* Python 3.8 or newer.  Use of Python versions 3.7 or older are not supported.
-* An Amazon Web Services (AWS) account to access secrets stored in AWS Secrets Manager.
-  * **To create an AWS account**, go to [Sign In or Create an AWS Account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) and then choose **I am a new user.** Follow the instructions to create an AWS account.
+- Python 3.8 or newer. Use of Python versions 3.7 or older are not supported.
+- An Amazon Web Services (AWS) account to access secrets stored in AWS Secrets Manager.
 
-  * **To create a secret in AWS Secrets Manager**, go to [Creating Secrets](https://docs.aws.amazon.com/secretsmanager/latest/userguide/manage_create-basic-secret.html) and follow the instructions on that page.
+  - **To create an AWS account**, go to [Sign In or Create an AWS Account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) and then choose **I am a new user.** Follow the instructions to create an AWS account.
 
-  * This library makes use of botocore, the low-level core functionality of the boto3 SDK.  For more information on boto3 and botocore, please review the [AWS SDK for Python](https://aws.amazon.com/sdk-for-python/) and [Botocore](https://botocore.amazonaws.com/v1/documentation/api/latest/index.html) documentation. 
+  - **To create a secret in AWS Secrets Manager**, go to [Creating Secrets](https://docs.aws.amazon.com/secretsmanager/latest/userguide/manage_create-basic-secret.html) and follow the instructions on that page.
+
+  - This library makes use of botocore, the low-level core functionality of the boto3 SDK. For more information on boto3 and botocore, please review the [AWS SDK for Python](https://aws.amazon.com/sdk-for-python/) and [Botocore](https://botocore.amazonaws.com/v1/documentation/api/latest/index.html) documentation.
 
 ### Dependencies
+
 This library requires the following standard dependencies:
-* botocore
-* setuptools_scm
-* setuptools
+
+- botocore
+- setuptools_scm
+- setuptools
 
 For development and testing purposes, this library requires the following additional dependencies:
-* pytest
-* pytest-cov
-* pytest-sugar
-* codecov
-* pylint
-* sphinx
-* flake8
-* tox
+
+- pytest
+- pytest-cov
+- pytest-sugar
+- codecov
+- pylint
+- sphinx
+- flake8
+- tox
 
 Please review the `requirements.txt` and `dev-requirements.txt` file for specific version requirements.
 
 ### Installation
+
 Installing the latest release via **pip**:
+
 ```bash
 $ pip install aws-secretsmanager-caching
 ```
 
 Installing the latest development release:
+
 ```bash
 $ git clone https://github.com/aws/aws-secretsmanager-caching-python.git
 $ cd aws-secretsmanager-caching-python
 $ python setup.py install
 ```
 
 ### Development
+
 #### Getting Started
+
 Assuming that you have Python and virtualenv installed, set up your environment and install the required dependencies like this instead of the `pip install aws_secretsmanager_caching` defined above:
 
 ```bash
@@ -64,25 +73,35 @@ $ pip install -r requirements.txt -r dev-requirements.txt
 $ pip install -e .
 ```
 
+**NOTE:** Please use [Ruff](https://docs.astral.sh/ruff/formatter/) for formatting.
+
 #### Running Tests
+
 You can run tests in all supported Python versions using tox. By default, it will run all of the unit and integration tests, but you can also specify your own arguments to past to `pytest`.
+
 ```bash
 $ tox # runs integ/unit tests, flake8 tests and pylint tests
 $ tox -- test/unit/test_decorators.py # runs specific test file
 $ tox -e py37 -- test/integ/ # runs specific test directory
 ```
 
 #### Documentation
+
 You can locally-generate the Sphinx-based documentation via:
+
 ```bash
 $ tox -e docs
 ```
+
 Which will subsequently be viewable at `file://${CLONE_DIR}/.tox/docs_out/index.html`
 
 ### Usage
+
 Using the client consists of the following steps:
-1.  Instantiate the client while optionally passing in a `SecretCacheConfig()` object to the `config` parameter.  You can also pass in an existing `botocore.client.BaseClient` client to the client parameter.
+
+1.  Instantiate the client while optionally passing in a `SecretCacheConfig()` object to the `config` parameter. You can also pass in an existing `botocore.client.BaseClient` client to the client parameter.
 2.  Request the secret from the client instance.
+
 ```python
 import botocore
 import botocore.session
@@ -96,19 +115,24 @@ secret = cache.get_secret_string('mysecret')
 ```
 
 #### Cache Configuration
+
 You can configure the cache config object with the following parameters:
-* `max_cache_size` - The maximum number of secrets to cache.  The default value is `1024`.
-* `exception_retry_delay_base` - The number of seconds to wait after an exception is encountered and before retrying the request.  The default value is `1`.
-* `exception_retry_growth_factor` - The growth factor to use for calculating the wait time between retries of failed requests.  The default value is `2`.
-* `exception_retry_delay_max` - The maximum amount of time in seconds to wait between failed requests.  The default value is `3600`.
-* `default_version_stage` - The default version stage to request.  The default value is `'AWSCURRENT'`
-* `secret_refresh_interval` - The number of seconds to wait between refreshing cached secret information.  The default value is `3600.0`.
-* `secret_cache_hook` - An implementation of the SecretCacheHook abstract class.  The default value is `None`.
+
+- `max_cache_size` - The maximum number of secrets to cache. The default value is `1024`.
+- `exception_retry_delay_base` - The number of seconds to wait after an exception is encountered and before retrying the request. The default value is `1`.
+- `exception_retry_growth_factor` - The growth factor to use for calculating the wait time between retries of failed requests. The default value is `2`.
+- `exception_retry_delay_max` - The maximum amount of time in seconds to wait between failed requests. The default value is `3600`.
+- `default_version_stage` - The default version stage to request. The default value is `'AWSCURRENT'`
+- `secret_refresh_interval` - The number of seconds to wait between refreshing cached secret information. The default value is `3600.0`.
+- `secret_cache_hook` - An implementation of the SecretCacheHook abstract class. The default value is `None`.
 
 #### Decorators
+
 The library also includes several decorator functions to wrap existing function calls with SecretString-based secrets:
-* `@InjectedKeywordedSecretString` - This decorator expects the secret id and cache as the first and second arguments, with subsequent arguments mapping a parameter key from the function that is being wrapped to a key in the secret.  The secret being retrieved from the cache must contain a SecretString and that string must be JSON-based.
-* `@InjectSecretString` - This decorator also expects the secret id and cache as the first and second arguments.  However, this decorator simply returns the result of the cache lookup directly to the first argument of the wrapped function.  The secret does not need to be JSON-based but it must contain a SecretString.
+
+- `@InjectedKeywordedSecretString` - This decorator expects the secret id and cache as the first and second arguments, with subsequent arguments mapping a parameter key from the function that is being wrapped to a key in the secret. The secret being retrieved from the cache must contain a SecretString and that string must be JSON-based.
+- `@InjectSecretString` - This decorator also expects the secret id and cache as the first and second arguments. However, this decorator simply returns the result of the cache lookup directly to the first argument of the wrapped function. The secret does not need to be JSON-based but it must contain a SecretString.
+
 ```python
 from aws_secretsmanager_caching import SecretCache
 from aws_secretsmanager_caching import InjectKeywordedSecretString, InjectSecretString
@@ -127,10 +151,13 @@ def function_to_be_decorated(arg1, arg2, arg3):
 ```
 
 ## Getting Help
+
 Please use these community resources for getting help:
-* Ask a question on [Stack Overflow](https://stackoverflow.com/) and tag it with [aws-secrets-manager](https://stackoverflow.com/questions/tagged/aws-secrets-manager).
-* Open a support ticket with [AWS Support](https://console.aws.amazon.com/support/home#/)
-* If it turns out that you may have found a bug, or have a feature request, please [open an issue](https://github.com/aws/aws-secretsmanager-caching-python/issues/new). 
+
+- Ask a question on [Stack Overflow](https://stackoverflow.com/) and tag it with [aws-secrets-manager](https://stackoverflow.com/questions/tagged/aws-secrets-manager).
+- Open a support ticket with [AWS Support](https://console.aws.amazon.com/support/home#/)
+- If it turns out that you may have found a bug, or have a feature request, please [open an issue](https://github.com/aws/aws-secretsmanager-caching-python/issues/new).
+
 ## License
 
-This library is licensed under the Apache 2.0 License. 
+This library is licensed under the Apache 2.0 License.

src/aws_secretsmanager_caching/decorators.py

@@ -13,6 +13,7 @@
 """Decorators for use with caching library"""
 
 import json
+from functools import wraps
 
 
 class InjectSecretString:
@@ -41,13 +42,21 @@ def __call__(self, func):
         :return The function with the injected argument.
         """
 
+        # Using functools.wraps preserves the metadata of the wrapped function
+        @wraps(func)
         def _wrapped_func(*args, **kwargs):
             """
             Internal function to execute wrapped function
             """
             secret = self.cache.get_secret_string(secret_id=self.secret_id)
 
-            return func(secret, *args, **kwargs)
+            # Prevent clobbering self arg in class methods
+            if args and hasattr(args[0].__class__, func.__name__):
+                new_args = (args[0], secret) + args[1:]
+            else:
+                new_args = (secret,) + args
+
+            return func(*new_args, **kwargs)
 
         return _wrapped_func
 
@@ -83,6 +92,7 @@ def __call__(self, func):
         :return The original function with injected keyword arguments
         """
 
+        @wraps(func)
         def _wrapped_func(*args, **kwargs):
             """
             Internal function to execute wrapped function

test/unit/test_decorators.py

@@ -191,3 +191,22 @@ def function_to_be_decorated(arg1, arg2, arg3):
             self.assertEqual(arg3, 'bar')
 
         function_to_be_decorated(arg2='foo', arg3='bar')
+
+    def test_string_with_class_method(self):
+        secret = 'not json'
+        response = {}
+        versions = {
+            '01234567890123456789012345678901': ['AWSCURRENT']
+        }
+        version_response = {'SecretString': secret}
+        cache = SecretCache(client=self.get_client(response, versions, version_response))
+
+        class TestClass(unittest.TestCase):
+            @InjectSecretString('test', cache)
+            def class_method(self, arg1, arg2, arg3):
+                self.assertEqual(arg1, secret)
+                self.assertEqual(arg2, 'foo')
+                self.assertEqual(arg3, 'bar')
+
+        t = TestClass()
+        t.class_method(arg2="foo", arg3="bar")