# 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**:
```python
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.
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