Metadata-Version: 2.1
Name: streamlit-cognito-auth
Version: 1.2.0
Summary: A Streamlit component for authenticating users with AWS Cognito
Home-page: https://github.com/pop-srw/streamlit-cognito-auth
Author: Sarawin Khemmachotikun
Author-email: khemmachotikun.s@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

# Streamlit Cognito Auth

A Streamlit component for authenticating users with AWS Cognito

## Installation

To install the package, you can use pip:

```sh
pip install streamlit-cognito-auth
```

## Usage

To use the package, you can import the `CognitoAuthenticator` class from the `streamlit_cognito_auth` package, and create an instance of it, passing your `pool_id`, `app_client_id` and `app_client_secret` as the arguments.

```python
from streamlit_cognito_auth import CognitoAuthenticator
```

To perform login, you can call the login() method on the authenticator instance and check the returned value, if it's True then the user is logged in, otherwise the login process failed.

```python
is_logged_in = authenticator.login()
if not is_logged_in:
    print("Login failed")
```

To perform logout, you can call the logout() method on the authenticator instance

```python
authenticator.logout()
```

You can also get the logged in user's username by calling get_username() method on the authenticator instance

```
username = authenticator.get_username()
```

You can find the full example code in `examples/example.py` file.

## Example

You can find an example of how to use the package in the examples directory.

To run the example file, you can use the following command, while replacing `your_pool_id`, `your_app_client_id` and `your_app_client_secret` with the actual values:

```sh
export POOL_ID="your_pool_id"
export APP_CLIENT_ID="your_app_client_id"
export APP_CLIENT_SECRET="your_app_client_secret"

cd examples
streamlit run example.py
```

or in windows

```ps
set POOL_ID="your_pool_id"
set APP_CLIENT_ID="your_app_client_id"
set APP_CLIENT_SECRET="your_app_client_secret"

cd examples
streamlit run example.py
```

login
![Login](https://raw.githubusercontent.com/pop-srw/streamlit-cognito-auth/main/images/login.gif)

logout
![Logout](https://raw.githubusercontent.com/pop-srw/streamlit-cognito-auth/main/images/logout.gif)

Login with temporary password
![Login with temporary password](https://raw.githubusercontent.com/pop-srw/streamlit-cognito-auth/main/images/password-reset-01.gif)

Reset password and login
![Login with temporary password](https://raw.githubusercontent.com/pop-srw/streamlit-cognito-auth/main/images/password-reset-02.gif)

## Limitations

- This package has been tested and known to work with Amazon Cognito pools that have an app client with a secret enabled and using the SRP protocol. Other configurations of Cognito pools may not be supported and have not been tested.
- This package has been tested and known to work with python 3.8 in Linux environment. It may not work with other versions of python or other operating systems.

## Features

- [x] Support for Cognito pools with app client secret
- [x] Support for Cognito pools without app client secret
- [x] Support for "USER_SRP_AUTH" authentication flow
- [ ] Support for "REFRESH_TOKEN_AUTH / REFRESH_TOKEN" authentication flow
- [ ] Support for "USER_PASSWORD_AUTH" authentication flow
- [x] Support for password reset for temporary password
- [ ] Support for password reset with OTP

## Credits

- This package is inspired by the work of [mkhorasani/Streamlit-Authenticator](https://github.com/mkhorasani/Streamlit-Authenticator), and we would like to thank the author for their work.
- JWT verification functionality is based on the work of [awslabs/aws-support-tools](https://github.com/awslabs/aws-support-tools/blob/master/Cognito/decode-verify-jwt/decode-verify-jwt.py), and we would like to thank the author for their work.
- This package uses the `pycognito` library for authentication, which is a Python library that provides a simple interface for working with AWS Cognito. We would like to express our gratitude to the authors of `pycognito` for their work and for providing an excellent library for working with AWS Cognito.
- We would also like to thank OpenAI's ChatGPT for providing helpful suggestions and examples throughout the development of this project.
