twitch | A twitch viewer bot and multi account chat automation | Bot library

You used the message parameter instead of command. Instead of message === 'xxx' put command === 'xxx'. Simple mistake, I think that was what you meant anyways. Of course the purge command worked because you put command === 'purge' there

Please excuse me if I have misinterpreted your basic question, but it is a little hard to follow as written.
From what I can gather you have an initial dataframe df containing two columns "duration", and 'activity' which document sequential events over a 13 hour period and you desire to organize the data such that you can compute the mean of the activity on a per hour basis for each of the 13 hours. The initial dataframe is illustrated by the following example:
Note: I have extended your initial example to provide a couple of hours of operation.
df :

Using triple quotes should work

I believe the issue here is that the ComfyJS.onChat/synthesizeSpeech() function is getting called multiple times on different threads, or at least multiple times without waiting for the previous speakTextAsync call to finish speaking.

I would experiment with making "var synthesizer = new SpeechSDK.SpeechSynthesizer(speechConfig)" globally scoped variable, so that you are using a single synthesizer to speak all the incoming messages, rather than a new synthesizer for each message. using a single tts engine should cause them to queue up and render in order.

Alternatively you could wait for speakTextAsync() to finish before allowing another synthesizer and message to be created and queued, but I think it would be more efficient to use a single synthesizer instance for the entire chat/conversation.

Brian.

To answer your primary question, the clean_tweets() function is not working in the line "Clean <- tweets %>% clean_tweets" presumably because you are feeding it a dataframe. However, the function's internals (i.e., the str_ functions) require character vectors (strings).

I say "presumably" here because I'm not sure what your tweets object looks like, so I can't be sure. However, at least on your test data, the following solves the problem.

Your two queries are very different; your first query will return a set of values that is distinct, your second will sum a set that is not distinct

Let us demonstrate with simpler data:

I have successful replace the hyperlink with the follower count, you may try if working on your side also, since I did not use getrichtext but getvalue directly:

You can buffer the data and extract whole messages when the separator is found. Example:

server.py

1. Variables inside and outside of the function argument of page.evaluate() are not the same: they are copied while transferred between Node.js and browser contexts. So while you change properties inside page.evaluate(), the properties outside remains unchanged. While you use return properties; inside page.evaluate(), you are not save the returned value.

2. You forget to return value in scrapeStreams().

However, it seems there are some other issues in your code (many null are returned), but you may use another question for them.