It was great to work and make this project, Tuti is now deprecated https://divyendusingh.com/farewell-tuti

Note: this was a private project, this is made public. Some CI/CD scripts might be outdated. This is only for reference and might not be deployable as is.

Setup

Built with telegraf, Telegram Bot API, AWS and ❤️

docker build . -t lingoparrot
docker tag lingoparrot:latest <docker remote>
docker run -p 3000:3000 --env-file ./.env.local.docker lingoparrot:latest
docker push <docker remote>

Setup for Content Website

cd carrd-language-learners-20220623
npx serve

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Development/Production Workflow

We use a specific dev/production setup. For all the relevant commands, yarn scripts have two variants like:

1. yarn run set-webhook
2. yarn run set-webhook-production

The 1st one uses .env and the 2nd one uses .env.production. With sensible defaults, I believe that this setup is most convenient for bot development and yields least mistakes. Open to feedback.

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Development Setup

Copy .env_sample file to .env (and .env.production for a production setup - details later) and fill the required values.

Run the following commands to start receiving @<bot-name> requests on your local machine.

1. yarn dev

• runs the project locally (via sls offline start, supports hot realoading).
• creates a tunnel (languagelearnersclub.localtunnel.me) from local to the internet.
• points the bot to local development version (uses .env and localtunnel url).

2. yarn run watch - to watch and compile TS to JS.

Generally, I have two versions of the bot i.e. development and production. I point my dev bot to my local setup using the above steps.

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Deploy Development

yarn run deploy - deploys to Lambda using parameters from .env

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Deploy Production

yarn run deploy-production - deploys to Lambda using parameters from .env.production

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Resources

• https://telegraf.js.org/#/
• https://core.telegram.org/bots/api#inlinequeryresult
• https://aws.amazon.com/translate/pricing/
• https://docs.aws.amazon.com/translate/latest/dg/API_TranslateText.html
• https://docs.aws.amazon.com/translate/latest/dg/pairs.html
• https://ibb.co/rx3tsGD (Pricing for a conversational app)
• https://pair-code.github.io/lit/

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