The podcast downloader fails pretty badly when the podcast name contains non ascii chars. The main fail happens during logging; I have learnt way to much about pythons stupid unicode implementation.
This adds addtional debug logging and also outputs the real reason a download fails properly. The content of the tags should be written as UTF-8 or whater is input into it, this commit mainly touches (and fixes) logging.
* [x] regonfigured the build matrix with more php jobs and a separate python job (we can add more python jobs later)
* [x] run tests on travis' trusty beta container (it's closer to what we need anyway)
* [x] install packages needed for analyzer tests in build env
* [x] added docs on how to run nosetests locally
* [x] don't run initctl in analyzer setup so setup can also be used on travis (and add it to the install script directly)
* [x] ignore replaygain checks on travis (it has proven quite impossible to get the needed python-gi module to work in the provided virtualenv)
I tried a lot of solutions to get the replaygain checks to run. I needed to decide that this has gone far enough, maybe someone who is more of a pythonista than me can take a crack at it and get it solved. Even without running those tests on CI/CD there are still plenty others.
This PR only has parts of what are needed for getting python tests running on travis as per #15. I only took a quick shot at anything not analyzer and figured I would not be able to "fix" them without digging a bit deeper (ie. also getting rid of std_err_override).
This is the results of sed -i -e 's|/etc/airtime-saas/|/etc/airtime/|' `grep -irl 'airtime-saas' airtime_mvc/ python_apps/` :P
It might need more testing, the airtime-saas part never really made sense, zf1 has environments for that, ie you would create a saas env based on production for instance.
I beleive legacy upstream was using this to share configuration between customers (ie. analyser runs only once and writes to a shared S3 bucket). I assume they mount the airtime-saas folder onto individual customers instances with a global config. Like I said, I don't feel that this makes sense since all it does is make hacking at the configs in airtime-saas a bit easier. A serious SaaS operation should be using something like puppet or ansible to achieve this.
* Fix various small bugs in auto ingestion and tab implementation
* Update TaskManager run conditions to piggyback on API calls - guarantees a certain frequency of requests and greatly reduces chances of lock contention
Lucas Bickel
Robb
Robb Ebright
Albert Santoni
Duncan Sommerville
Duncan Sommerville