| Name | envvault JSON |
| Version |
0.1.3
JSON |
| download |
| home_page | None |
| Summary | A tool to manage encrypted environment variables. |
| upload_time | 2025-01-22 04:10:59 |
| maintainer | None |
| docs_url | None |
| author | jin |
| requires_python | <4.0,>3.9.1 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# EnvVault
EnvVault is a Python package for encrypting and managing `.env` files, similar to Rails Credentials. It allows you to securely store sensitive information (such as API keys, database passwords, etc.) and decrypt and use this information at runtime.
## Features
- **Encrypt `.env` files**: Encrypt plaintext `.env` files into `.env.enc` files.
- **Decrypt `.env.enc` files**: Decrypt `.env.enc` files at runtime and load environment variables.
- **Multi-environment support**: Create separate encrypted files for different environments (e.g., `development`, `production`).
- **Dynamic field support**: Automatically define fields in `Settings` based on the contents of `.env.enc`.
- **Type inference**: Automatically infer field types (e.g., `str`, `int`, `bool`) from environment variable values.
- **CLI tool**: Provides a command-line interface for managing encrypted files.
- **Integration with `pydantic_settings`**: Supports managing decrypted environment variables using `pydantic_settings`.
---
### **Dynamic Field Support**
EnvVault dynamically creates `Settings` fields based on the contents of the `.env.enc` file. For example, if your `.env.enc` file contains:
```yaml
API_KEY=your_api_key_here
DATABASE_URL=your_database_url_here
DEBUG=true
PORT=8080
```
EnvVault will automatically create the following fields in the `Settings` class:
- `API_KEY` (string)
- `DATABASE_URL` (string)
- `DEBUG` (boolean)
- `PORT` (integer)
---
### **Type Inference**
EnvVault supports automatic type inference for environment variables. For example:
- `DEBUG=true` → `DEBUG` is inferred as a boolean.
- `PORT=8080` → `PORT` is inferred as an integer.
- `API_KEY=your_api_key_here` → `API_KEY` is inferred as a string.
---
## Installation
Install using Poetry:
```bash
poetry add envvault
# Or install using pip:
pip install envvault
```
## Usage
### 1. Initialize
Initialize the `master key` and an empty `.env.enc` file:
```bash
envvault init --env development
```
This will generate the following files:
- `master.key`: The master key used for encryption and decryption.
- `.env.development.enc`: An empty encrypted file.
---
### 2. Edit Encrypted File
Edit the `.env.enc` file using your default editor:
```bash
envvault edit --env development
```
The editor will open a temporary file. After editing, the content will be re-encrypted and saved to `.env.development.enc`.
---
### 3. View Decrypted Environment Variables
Decrypt and view the contents of the `.env.enc` file:
```bash
envvault view --env development
```
Enter the following content in the editor:
```yaml
API_KEY=your_api_key_here
DATABASE_URL=your_database_url_here
DEBUG=true
PORT=8080
```
---
### 4. Use in Code
Load decrypted environment variables in your code:
```python
from envvault.settings import Settings
# Load configuration for the development environment
settings = Settings.from_credentials(env_name="development")
print("API Key:", settings.API_KEY)
print("Database URL:", settings.DATABASE_URL)
```
### or
```python
from envvault.settings import get_settings
# Load configuration for the current environment
envvault = get_settings()
print("API Key:", settings.API_KEY)
print("Database URL:", settings.DATABASE_URL)
```
---
## Configuration
### Default Editor
You can set the default editor using the `EDITOR` environment variable. For example:
```bash
export EDITOR=code # Use VS Code
export EDITOR=nano # Use Nano
export EDITOR=vim # Use Vim
```
---
### Multi-Environment Support
EnvVault supports creating separate encrypted files for different environments. For example:
- `.env.development.enc`: Development environment.
- `.env.production.enc`: Production environment.
Specify the environment name using the `--env` parameter in CLI commands.
---
## Contributing
Issues and Pull Requests are welcome!
---
## License
MIT
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