Hey @daikts, you are absolutely right—I will make this change in the next release. It was originally designed this way for my own needs, but it is definitely not the most desired method of maintaining the data.

@daikts I've been spending a lot of time doing a bunch of updates/upgrades back and forth and I'm still trying to tackle what you're saying, or rather, trying to understand (sorry it took so long btw...life happened). I think I initially understood what you said differently and now going back to it I think I'm misunderstanding.

You should be receiving a full 25-level orderbook as a list of dictionaries each time, with the dictionaries getting updated each corresponding incoming message. I ran your snippet, printing the snapshot each time, and was able to see different data for each snapshot IF the data was updated with an update, delete, or insert (otherwise the data was the same since no change happened within that 1 second span). I also formed your snippet into a function, returning snapshots so I could probe the list to see if the data was different for each index, which it was. Is this not what you're expecting?

If it isn't behaving like intended, then yes, I can return a .copy() of the keyed value from self.data rather than the value from self.data itself.

WebSocket class will now return a copy of self.data.
aa3311c

Cool, thanks a lot for the update - returning a copy of self.data was indeed my suggestion, I believe you understood me correctly in the end.

However I see that you're using dict.copy as opposed to copy.deepcopy - I believe we'll still face similar behaviour without the latter, since orderbook data contains lists, which are passed as references when copying shallowly:

In [5]: d = dict(ask_prices=[100,101,102])                                                                                                                                                  

In [6]: result = d.copy()                                                                                                                                                                   

In [7]: d["ask_prices"].pop()                                                                                                                                                               
Out[7]: 102

In [8]: d                                                                                                                                                                                   
Out[8]: {'ask_prices': [100, 101]}

In [9]: result                                                                                                                                                                              
Out[9]: {'ask_prices': [100, 101]}

I haven't scrutinized the source, so there might be other mechanisms to prevent that from happening but might be worth checking!

@daikts Have you still been having issues with this recently? Figured I'd check in since copy() is working for a few others.