use aiohttp and asyncio about mailerlite-api-python HOT 4 OPEN

Actually the current performance is pretty bad, for me its coming in about 5 seconds slower than the raw API.

This package does seem useful, it's just right now, I cannot use it at that speed. I'm using Python 3.9.

I've compared it actually in Jupyter and on a dedicated Docker system and both come back within a second using the native API in the docs.

Are you using V2 of the API ???

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I just checked you are indeed using V2.

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Its this line that is causing the performance issue...

api = MailerLiteApi('xxxxx')

Because I'm using it in a web page I have to run this for every request.

In Jupyter its not so bad once I've created the api object, the actual API calls come back in a reasonable time.

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Hi @akblissweb,

Because I'm using it in a web page I have to run this for every request.

Can you provide an example? if you have a server running, I do not understand why you need to call api = MailerLiteApi('xxxxx') every time. I might be missing something. Can you describe more in detail your pipeline?

To be faster:

• you do not need to instantiate all the objects. This is what api = MailerLiteApi('xxxxx') is doing because it is convenient. You can just pick what you really need. For example, if you need only the campaign on a specific webpage, just do from mailerlite.campaign import Campaigns; c = Campaigns('xxxxx').
• You can return only the JSON object in each function instead of the convenient custom nametuple/dataclass. When you make a call, add the parameter as_json=True. It should be faster and give you the raw JSON to do whatever you want.

Also, any other suggestions/ideas/contributions are welcomed.

Thank you for the feedback

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