fffft | fft impl for ff : :Field
kandi X-RAY | fffft Summary
kandi X-RAY | fffft Summary
Parallel FFT computation for ff::Field types via rayon. Implementing the trait for other ff::Field types is very simple: define a constant S and a function root_of_unity() that returns a field element that is a 2^Sth primitive roof of unity. This crate contains a blanket trait impl for ff::PrimeField.
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QUESTION
I'm getting a POST request inside a Flask app from Slack. The request is sent when a user presses on an interactive message button. According to Slack docs I must extract the body of the request to verify the signature. My computed signature doesn't match the one sent by Slack, though. In fact, the body of the request comes as some encoded string. The string is actually an encoded dictionary instead of a query str parameters, as expected.
Here's the beginning of my view:
...ANSWER
Answered 2018-Oct-24 at 20:56The reason you are getting the "garbled" data is that you are using request.get_data()
. That method will return the raw data of a request, but not do any decoding for you.
Much more convenient is to use request.form.get('payload')
, which will directly give you the JSON string of the request object. You can then convert that into a dict object with json.loads()
to process it further in your app.
Note that the format you received is the correct format for interactive messages. You will not get a query string (e.g. "token=abc;user_id?def...") as you suggested (like for slash command requests). Interactive message request will always contain the request as JSON string in a payload form property. See here for reference.
Here is a simple working example, which will reply a greeting to the user that pressed the button. It will work directly with Slack, but I recommend using Postman to test it.
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