gigaml-secrets 0.45

A library to manage AWS secrets with caching and environment variable integration

GigaML Secrets

A library to manage AWS secrets with caching and environment variable integration.

Installation

To install the package, use pip:

pip install gigaml_secrets

Setup

Ensure you have your AWS credentials configured. You can set them up using the AWS CLI:

aws configure

Usage

After installing the package, you can use the library in your scripts as follows:

1. Use the library in your script:

   from gigaml_secrets import CachedSecretsManager, load_secrets
   import os
   
   def main():
       # Specify the environment and list of secrets to load
       env = 'prod'
       secret_names = ['ADMIN_API_KEY', 'BACKEND_API']
       load_secrets(env, secret_names)
   
       # Now you can access the secrets from environment variables
       admin_api_key = os.getenv('ADMIN_API_KEY')
       backend_api = os.getenv('BACKEND_API')
   
       print(f"ADMIN_API_KEY: {admin_api_key}")
       print(f"BACKEND_API: {backend_api}")
   
   if __name__ == "__main__":
       main()
   

2. Run your script:

   python your_script.py

Example

Here is an example script (main.py) that demonstrates how to use the gigaml_secrets package:

```python
import os
from gigaml_secrets import CachedSecretsManager, load_secrets

def main():
    # Initialize the CachedSecretsManager
    env = 'prod'
    secret_names = ['ADMIN_API_KEY', 'BACKEND_API']
    load_secrets(env, secret_names)

    # Fetch and set secrets as environment variables
    for name in secret_names:
        print(f"Environment variable {name}: {os.getenv(name)}")

if __name__ == "__main__":
    main()
```

License

This project is licensed under the MIT License.