hotline | Browser based Hotline client in Erlang | Runtime Evironment library

bot.send_message is depreciated, use user.send instead.

this problem already append to me and don't worry, your code is not the problem. Sometimes, your bot can still running when you close your program, then when you relaunch your code there are two launched codes on the bot account etc... To fix it, regenerate the token on your bot page and don't forget to update your code in consequence.

The response includes more than your Memes itself. The Meme array is within the object data and memes. Modell the entire response and you will be able to deserialize it. So you will need the following:

If you call useState() without passing an argument, the initial value of the state variable (array) will be undefined. Trying to read the property length of array (i.e. array.length) will then give an error:

Keep rows in the data where the current row is "Abandoned" and the next row is not "Abandoned" for each ID. Find difference in time between every 2 rows to get time required for the caller to make another call to service after it was abandoned, take average of each of the duration to get average time.

On the other hand, with a dynamic website the server might not send back any HTML at all. Instead, you’ll receive JavaScript code as a response. This will look completely different from what you saw when you inspected the page with your browser’s developer tools.

Src: real python.

In my case also, the website sent back javascript code. The solution is to use requests-html or selenium

If you need the sentiment over the whole text, there is no need to split the text first into sentences, the sentiment functions take care of this. I replaced the ., in your text back to periods as this is needed for the sentiment functions. The sentiment functions recognizes "mr." as not being the end of a sentence. If you use get_sentences() first, you get the sentiment per sentence and not over the whole text.

The function sentiment_by handles the sentiment over the whole text and averages it nicely. Check help with the option for the averaging.function if you need to change this. The by part of the function can deal with any grouping you want to apply.

Always make your codable model according to your API response. In your scenario, I think your model will be like this:

Could not reproduce your error using a Docker container running Python 3.5.9: