Matthias
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Joined 5 years ago
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Re: How do I extract data from an API, using a post request, with the HTTP Client snap?
How did you handle the secure storage of the initial credentials (client_id, client_secret)? I've found this to be an impossible task with http client snaps - and hence had to revert to rest snaps for the initial auth - which allows some basic account types to provide the password as `account.password` and `account.username` in the post body. For now, i've however not found an alternative for this with http-client.Re: Regular keyboard navigation in edit box not working correctly
it's been almost two years now ... has this received any priority? i realize it's still not available .. but this is a major usability slump... I've in the meantime also opened a support issue about this - but it's en-par with my recent bad experiences with support, which is that they aim to close tickets without even trying to assist.Username / password auth via post request
We've got a service that needs authentication via Post/Put request with the following body: ``` { "U":"someUsername", "P":"someSecurePassword", "L":"EN" } ``` Now with the rest post snap, i can store the data in a "basic auth" account, and use the following: ``` '{ "U":"' + account.username + '", "P":"' + account.password + '", "L":"EN" }' ``` now reading the Rest Api documentation, it is pointing me to use the HTTP client - which i tried, but this doesn't seem to give this option? is there any way to accomplish the same thing with the HTTP client snap?Re: JSON STRING VALUES INTO COLUMNS
I think your initial problem is that the data is not actual json. Field separators should be ":" - and the parenteses are clearly off. Snaplogic will still however allow you to do this (you can probably condense this into one mapper if you give it a bit more thought ...): first mapper: `$String.split('},{')` 2nd mapper: `$splitValue.replace('{', '').replaceAll('}}}', '').split(', ').toObject(x => x.split('=')[0], x => x.split('=')[1])` The json splitter in between just splits the data into multiple rows.
