semvec/pypi-packages huggingface dataset:
dotpla 0.1.0
Django One Time Password Link Authentication
Requires Python: >=3.8,<4.0
Keywords: django,authentication

# dotpla: Django One Time Password Link Authentication

This app adds a new Authentication method to Django, which allows you to generate links with a one-time password so you can allow users to log in directly, without having to define a password. It is **not** an implementation of two-factor authentication (2FA).

## Status

**Warning:** this project is currently in development, and only supports Wagtail, for now. It is likely to change as/if I have time, but I am developing it primarily for my own uses, so it may not always be the highest priority.

## Rationale and Use Cases

This app can be used to share data with selected users from the deep web, without requiring them to register or login. You can create the user account for them, generate a one-time password, and send them a link that will log them in automatically. This allows you to protect data from unauthorized access, but also makes it easy for end-users to access it.

Some potential use cases:

- Share a tailored version of your CV or cover letter with potential employers.
- Write a tailored sales pitch for potential customers.
- Share files with select users.

## Installation

### Pre-requirements

- Django 3.2 or greater.
- Python 3.8 or greater.
- The [Django Messages Framework](https://docs.djangoproject.com/en/dev/ref/contrib/messages/) must be enabled for your project if you want passwords to be displayed in the admin interface.
- *Optional:* [Wagtail CMS](https://wagtail.org/). Tested with Wagtail 4.0.

## Usage

TODO.

## Caveats

- The `authenticate_with_otp` method has potential race conditions allowing users to log in more times than they should. As I only use this with trusted users, it's insignificant enough for me to ignore.
rasa-audiocodes 1.0.0
Integrate Rasa with AudioCodes VoiceAI Connect

# AudioCodes VoiceAI Connect Channel for Rasa

AudioCodes VoiceAI Connect is an application that enables telephony access
for chatbots.

The Rasa integration is using a REST protocol named
[AC-Bot-API](https://techdocs.audiocodes.com/voice-ai-gateway/api/version-180/#VAIG_API/API_1.htm).

## Installation

The easiest way to install the package is through [PyPI](https://pypi.org/project/rasa-audiocodes).

```sh
pip install rasa-audiocodes
```

## Rasa Configuration

Add the following content to `credentials.yml`:

```yaml
rasa_audiocodes.AudiocodesInput:
  token: "CHOOSE_YOUR_TOKEN"
```

## Docker

If you're using Rasa on Docker, you can copy rasa_audiocodes and docker-compose.yml
to your application directory, and edit the volumes section to match your app directory.

If you already have a docker-compose file, just add this to the rasa volumes:

```yaml
      - ./rasa_audiocodes:/opt/venv/lib/python3.8/site-packages/rasa_audiocodes
```
## VoiceAI Connect Cloud Setup

The easiest way to start using VAIC is by visiting https://voiceaiconnect.audiocodes.io.

You can get a phone number, and route it to your bot.

Configuration is straight-forward. Click the + sign, then enter the name
of the bot, URL and the token.

You can now click Validate to verify that the bot is accessible and the
audiocodes channel is configured correctly.

![PNC Configuration](doc/pnc.png)

Click Next, then choose a country and a city to get a phone number.

After a minute, the number should be routed to your bot.

## VoiceAI Connect Configuration

If you maintain a VAIC instance, configure a provider with the following attributes:

```json
  {
    "name": "rasa",
    "type": "ac-bot-api",
    "botURL": "https://<RASA>/webhooks/audiocodes/webhook",
    "credentials": {
      "token": "CHOOSE_YOUR_TOKEN"
    }
  }
```
watch-megan-2022-fillmovie-online-on-123movies 1.2
Python project for testing
Requires Python: >=2.7

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