The example demonstrates a Telegram bot that uses the Amazon Lex & Amazon Rekognition service, and the deployment needed for Telegram bots in general.

This example uses the following Amazon Services

• Amazon Simple Storage Service (S3) - Store receipts and configuration files
• Amazon DynamoDB- Store attributes from a receipt
• Amazon API Gateway - API connectivity with Telegram.org
• Amazon Simple Notification Service (SNS) - Coordinating the delivery of messages to subscribing endpoints between the different micro services
• Amazon Lex - Amazon Lex for building conversational interfaces with the user application using text.
• Amazon Rekognition - Text recognition service for receipt attributes
• AWS Lambda - Run code without provisioning or managing servers

I have written the installation steps for OS X & Linux:

npm install -g serverless
install the AWS Command Line Interface
git clone git:https://github.com/onnobos/expensy_bot.git
cd github-link
npm install
serverless deploy

Upload config.json and template.html to config S3 bucket

1. Register telegram bot with Telegram.org
2. Set the webhook, based URL endpoint mentioned in "Step 1. Clone GitHub repository"
3. Create an empty file called serverless.env.yml with the content below.

dev:
    TELEGRAM_API: '<TELEGRAM API>'

For building out your Lex chatbot, follow the instructions for building a lex bot.

1. Add your bot in Telegram client
2. Enter Welcome or Help
3. Enter I want to do a expense claim

• moment
• request
• request-promise
• sharp
• uuid
• handlebars
• sharp
• wkhtmltopdf

• 0.0.1
  • Work in progress

Onno Bos – twitter @obeone

Distributed under the GNU GPLv3 license. See GNU GPLv3 for more information.

https://github.com/onnobos/expensy_bot.git