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matthewberryman avatar matthewberryman commented on August 10, 2024

Ok the code in https://github.com/MSFREACH/msf-reach-chatbot is working—I have my AWS AI QNA bot talking on Twitter as well as Facebook now. The code there is still a bit rough and there are a few things I'd like to tidy up and work on, in terms of the interactions between the FB part & core code, as well as https://github.com/MSFREACH/msf-reach-chatbot/issues/10 . Perhaps since the rest of the QNA code is in nodejs I should rewrite in nodejs, and AFAIK we've not had that warmup issue with our separate Twitter DM bot code (@talltom ?). I started with Python as there was already an example I drew on for that bit of code for exposing a Lex bot on Twitter DM.

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JohnCalhoun avatar JohnCalhoun commented on August 10, 2024

If i understand your code correctly, you are creating an api in front of lex to serve Twitter? I have seen this before and i think it is very cleaver. This could be done by making a "twitter-lex-proxy" resource in the api, perhaps under the client resource

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matthewberryman avatar matthewberryman commented on August 10, 2024

@JohnCalhoun yes, that's correct. I have now ported the code to JavaScript in https://github.com/MSFREACH/msf-reach-chatbot/tree/twitter-webhook-js and it all seems to work bar the rate limit issue (something we would need Twitter to whitelist our account for). I would still need to bring the API, currently deployed separately using serverless, into the main API, under a twitter-lex-proxy resource as you suggest.

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