In order to do development on the installer itself in a sane way,
we need a reasonably fast and automatic way to get a fresh environment
to try to run it in.
This calls for some form of virtualization. Choices include
* A public cloud, like EC2 or Digital Ocean. These could work, if we
wrote some suitable scripts against their APIs, to manage
appropriate base images (as AMIs or snapshots respectively) and to
start fresh instances/droplets from a base image. There'd be some
latency on starting a new VM, and this would also require the user
to have an account on the relevant cloud with API access to create
images and VMs.
* A local whole-machine VM system (hypervisor) like VirtualBox or
VMware, perhaps managing the configuration through Vagrant. These
hypervisors can be unstable and painfully slow. They're often the
only way to get development work done on a Mac or Windows machine,
which is why we use them there for the normal Zulip development
environment; but I don't really want to find out how their
instability scales when constantly spawning fresh VMs from an image.
* Containers. The new hotness, the name on everyone's lips, is Docker.
But Docker is not designed for virtualizing a traditional Unix server,
complete with its own init system and a fleet of processes with a
shared filesystem -- in other words, the platform Zulip's installer
and deployment system are for. Docker brings its own quite
different model of deployment, and someday we may port Zulip from
the traditional Unix server to the Docker-style deployment model,
but for testing our traditional-Unix-server deployment we need a
(virtualized) traditional Unix server.
* Containers, with LXC. LXC provides containers that function as
traditional Unix servers; because of the magic of containers, the
overhead is quite low, and LXC offers handy snapshotting features
so that we can quickly start up a fresh environment from a base
image. Running LXC does require a Linux base system. For
contributors whose local development machine isn't already Linux,
the same solutions are available as for our normal development
environment: the base system for running LXC could be e.g. a
Vagrant-managed VirtualBox VM, or a machine in a public cloud.
This commit adds a first version of such a thing, using LXC to manage
a base image plus a fresh container for each test run. The test
containers function as VMs: once installed, all the Zulip services run
normally in them and can be managed in the normal production ways.
This initial version has a shortage of usage messages or docs, and
likely has some sharp edges. It also requires familiarity with the
basics of LXC commands in order to make good use of the resulting
containers: `lxc-ls -f`, `lxc-attach`, `lxc-stop`, and `lxc-start`,
in particular.
Stripe Checkout means using JS code provided by Stripe to handle
almost all of the UI, which is great for us.
There are more features we should add to this page and changes we
should make, but this gives us an MVP.
[greg: expanded commit message; fixed import ordering and some types.]
This is fairly often -- though not always! -- failing, with a nasty
failure mode where it takes like 6 minutes to time out. See
discussion on #7748 (search for "bad link").
Actually, after seeing it happen just now when running
test-documentation on my laptop, on some other link, it occurs to me
that I've seen this before -- it's fairly common in Travis, too. It's
just that it doesn't actually cause the build to fail :-/, and on
Travis we haven't been paying as close attention to slow builds as we
are on Circle right now.
Generally stderr is the conventional place for this sort of running
commentary, and it's better set up for it: by default stdout may have
a buffer inside the process so that things written to it don't reach
the outside until later, while stderr is always by default unbuffered,
so messages are printed immediately.
Here, until the previous commit, because our color-reset sequence was
being printed without a following newline (with `echo -n`), it was
getting buffered; and then error messages from `scrapy` to stderr were
being erroneously painted with the color intended for the message
"Testing links in documentation...".
The autoreload code of Django works by looping over the files associated
with all the loaded modules. This loop is run after every 1 second. If
the file is found for the first time by the loop, it is assumed that the
file is new and is not modified between the time it is loaded and is
checked by the loop. This assumption is the source of a race condition.
We can either implement a more sensitive version of the loop or we can
just allow enough time to the Django loop to touch every file at least
once.
For the time being, we are going with the second option.
Previously, there were following problems with the implmentation:
* Same file handle was being used to read and write. We used to do
`seek(0)` and then `read()`. This had a chance to overwrite
file data. Now we use different file handles to read and write data.
* We were using text streams. Text streams cannot be used with
`bufferring=0`. Now we use binary streams without buffering so that
data is available for reading without any delay.
This commit also updates the key(s) that we search in the logfile.
Previously, launch of all queues was announced in the log, now we only
anounce the number of threads that were launched.
This commit also makes sure that we always exit after gracefull shutting
down the development server.
Previously, there were following problems with the implmentation:
* Same file handle was being used to read and write. We used to do
`seek(0)` and then `read()`. This had a chance to overwrite file
data. Now we use different file handles to read and write data.
* We were using text streams. Text streams cannot be used with
`bufferring=0`. Now we use binary streams without buffering so that
data is available for reading without any delay.
This commit just copies all the code from MissedMessageSendingWorker
class to a new EmailSendingWorker class. All the logic to send an email
through a queue was already there. This commit only makes the logic
generic. It does so by creating a special purpose queue called
'email_senders' to send any type of email. To make
MissedMessageSendingWorker still work we derive it from
EmailSendingWorker. All the tests that were testing
MissedMessageSendingWorker now run against EmailSendingWorker.
We get the following error (edited slightly):
Dec 19 06:13:27 commit_messages| An error occurred while executing
'/usr/bin/git rev-list --max-count=-1 upstream/master..HEAD':
fatal: ambiguous argument 'upstream/master..HEAD':
unknown revision or path not in the working tree.
Use '--' to separate paths from revisions, like this:
'git <command> [<revision>...] -- [<file>...]'
We'll need to adjust the remotes to make `upstream` mean what we expect.
This isn't really the right way to do this -- commit
dcd80e665 "travis/setup-backend: Remove the '--travis' flag"
took us in the wrong direction by introducing more magic, deeper in
the stack.
But it's the same way we do it for Travis. For now, just copy that.
[Thanks to hackerkid for cleaning up my original crude hack.]
At this point if we were accidentally using `/srv/zulip-venv` for
anything, we'd have run into it by now. So just drop the bit of
historical logic that we had to ensure that.
This reverts commit 66261f1cc. See parent commit for reason; here,
provision worked but `tools/run-dev.py` would give errors.
We need to figure out a test that reproduces these issues, then make a
version of these changes that keeps that test working, before we
re-merge them.
We should omit these for mypy. For most class definitions,
mypy doesn't need `Any`, and it provides no real useful info.
For clever monkeypatches, you should provide a more specific
type than `Any`.
These commands are super boring standard Docker commands,
so this probably isn't helpful for anyone who is familiar
with building Docker images... but I had to consult docs
to work out the right commands again today, so they'd help me.