Monday, August 5, 2019¶
Error loading psycopg2 module: No module named ‘psycopg2’. OMG I am stupid. Hamza actually fixed that bug but I undid it because I didn’t notice at that moment the difference between apt packages and pip packages… Yes of course: okay we select the db-engine only once per server, but startsite still must install the corresponding pip packages in startsite for every site.
Should we install psycopg2-binary or rather psycopg? –> “The psycopg2-binary package is a practical choice for development and testing but in production it is advised to use the package built from sources.” (https://pypi.org/project/psycopg2/)
This caused an errror “You need to install postgresql-server-dev-NN for building a server-side extension or libpq-dev for building a client-side application.” –> I added libpq-dev to the apt_packages of postgresql dbengine.
getlino.utils.Installer.runcmd() didn’t fail when the subprocess
Fixed a problem with the postgresql database setup (it was adding an “;” at the wrong place).
inv prep in a project without demo projects¶
inv prep command in getlino didn’t execute the prep.sh script because
getlino has no demo projects. Instead of saying “inv prep test” we must say
“./prep.sh ; inv test” in the
.travis.yml file. But that’s
inv prep should “run preparation tasks that need to run
before testing (but only once for all tests)”. When I run “pp inv prep test” it
should rebuild the images. I should not be forced to remember running prep.sh
manually before “pp inv prep test”. So we have now two config settings for
Released Atelier 1.1.14 (Changes in atelier) for testing it on travis for getlino.
Telling Docker where to store images¶
I am getting system warnings because Docker fills up my root filesystem.
But how to configure the docker daemon on Ubuntu?
Finally I just said:
$ docker system prune
WARNING! This will remove: - all stopped containers - all networks not used by at least one container - all dangling images - all dangling build cache Are you sure you want to continue? [y/N] y Deleted Containers: cdd408dc0ee130d4498c82f0eed6609445b3ae290ef21c7739ef29ceca99fbd4 493ae1128f25bc144598661eaf854de527cdc7b4795ba1a34f9e46a0aa852012 48f9d5220778b8efd7db4bb041659b9b058f993e234e770e803e4cbeb18e4124 ... Total reclaimed space: 27.53GB