We've had this code oscillated a few times; the original comparison
was added as part of Stride import but broke HipChat import.
c34a8f2e69 fixed HipChat import but
regressed Stride.
This change fixes this for both HipChat + Stride.
Now, if you pass an api_key, we'll initialize the public room
subscribers to be whatever they were at the time the import happened.
Also, document the situation on the caveats section.
The slim_mode setting had been incorrectly configured to skip
"deleted" users, resulting in bugs where private messages with deleted
users would not be imported.
Apparently, hc-migrate can generate emoticons.json files with a
somewhat different format. Assuming that other files are in the
normal format, we should be able to handle it like this.
See report in #11135.
Apparently, some methods of exporting from HipChat do not include an
emoticons.json file. We could test for this using the
`include_emoticons` field in `metadata.json`, but we currently don't
even bother to read that file. Rather than changing that, we just
print a warning and proceed. This is arguably better anyway, in that
often not having emoticons.json is the result of user error when
exporting, and it's nice to flag that this is happening.
Fixes#11135.
For messages with strange senders, we don't import
messages. Basically, we only import a message if
it has sender with an id that maps to a non-deleted
user.
We now account for streams having users that
may be deleted. We do a couple things:
- use a loop instead of map
- only pass in users to hipchat_subscriber
- early-exit if there are not users
- skip owner/members logic for public streams
Normal hipchat exports use integer ids for their
users and "rooms," which we just borrowed during
conversion.
Atlassian Stride uses stride UUIDs for these instead, but otherwise
has the same export format.
We now introduce IdMapper to handle external ids
that aren't integer. The IdMapper will map UUID
ids to ints and remember them. For ints it just
leaves them alone.
Fixes#10805.
We (lexically) remove "subject" from the conversion code. The
`build_message` helper calls `set_topic_name` under the hood,
so things still have "subject" in the JSON.
There was good code coverage on `build_message`.
We now have all three third party
conversions (Gitter/Slack/Hipchat)
go through build_user_message().
Hipchat was already using this helper.
We also avoid callers having to pass in
an id to build_user_message().
Masking content can be useful for testing
out conversions where you're dealing
with data from customers and want to avoid
inadvertently reading their content (while
still having semi-realistic messages).
Having two smaller functions should make it
easier to customize the behavior for each specific
use case. The only reason they were ever coupled
was to keep ids in sequence, but the recent NEXT_ID
changes make that a non-issue now.
We now instantiate NEXT_ID in sequencer.py, which avoids
having multiple modules make multiple copies of a sequencer
and possibly causing id collisions.
This bug was introduced very recently and is an
aliasing bug. It caused extra UserMessage rows to
be created as we inadvertently updated the underlying
subscriber_map sets for multiple messages.
This probably mostly affected PMs.
It's doubtful the bug ever got out into the field.
We extract this function and put it in the shared
library `import_util.py`.
Also, we make it one time higher up in the call
stack, rather than re-building it for every batch
of messages. I doubt this was super expensive, but
there's no reason to repeatedly execute this.
Before this fix, we were creating two copies of every
PM Message in zerver_message with only corresponding
UserMessage row.
Now we only create one PM Message per message, which
we accomplish by making sure we only use imported
messages from the sender's history.json file. And
then we write UserMessage rows for both participants
by making sure to include sender_id in the set of
user_ids that feeds into making UserMessage. For
the case where you PM yourself, there's just one
UserMessage row.
It does not appear that we need to support huddles
yet.
When we create new ids for message rows, we
now sort the new ids by their corresponding
pub_date values in the rows.
This takes a sizable chunk of memory.
This feature only gets turned on if you
set sort_by_date to True in realm.json.
Even individual "room" files from hipchat can be large,
so we process only 1000 messages at a time
within each file, which produces smaller JSON files.
Vishnu Ks
Anders Kaseorg
Tim Abbott
Steve Howell