VidInfo | Get video information from different APIs | Data Visualization library

It might be helpful to find out what the actual error message is. In your python script, you are only printing the status code. Knowing the error response which is caught with .catch((error) => { ... }) and is sent with options.body = { error: error } might give you (and us) some more clues as to what is going on.

Also note that it doesn't always make sense to send a 'server error', namely when the issue is really with the request and not server side. Knowing the error message (and thus, potentially what is causing the error) will help you send the appropriate response and status code.

Without knowing any further error message information, I wonder if how you are handling the request is causing the issue. Are you sure that you can parse the request by using request.body.text() and/or JSON.parse from the python-sent request? It's possible that the python requests module does not serialize data in the same way that Postman does.

Hopefully what I've said can be helpful. I will keep following if you happen to make any updates to what you've posted above. Good luck!!

UPDATE:

After seeing your response error, it looks to me like you might be handling the request incorrectly. As I stated above, Postman may serialize the object differently from python requests.

Try using request.post(url, data=json.dumps(data)).

Again, are you sure that the data can be retrieved from the request.body.text() method? I am not sure what http framework is being used server-side, but if request.body.text() isn't actually able to return any data, it is likely passing undefined to your first promise handler .then((body) => { ... }). Since your error is a JsonSyntaxError, it is likely that JSON.parse cannot actually parse what it is trying to parse, whether that be undefined or an invalid JSON string.

the fundamental problem I see in your approach is that you are miss-interpreting your cut-off frequencies. If you want to remove frequencies below 0.7 Hz and above 4 Hz, you need :

• A lowpass filter with a cut-off frequency at 4 Hz.
• A highpass filter with a cut-off frequency at 0.7 Hz.

Not the other way around ! This is easily done using the highpass and lowpass functions as you suggested. They are dealing with the padding automatically. If you want you can design your own digital filter BUT with the cut-off frequencies mentionned above :)

A matlab code that does what you want is :

I optimize your code by using BrowserContext. and scraping all links in parallel using Promise.all().

Run it and tell me if everything is good.

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