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.
We simplify the code for is_realm_admin
and set is_guest as well.
I verified that build_user() is not used
by Slack/Gitter, so the extra argument there
should be fine.
Fixes#10639
This is a very early version of a tool to convert Hipchat
tar files into data files that can be used by the Zulip
import process.
We include the most fundamental entities--users and
streams. Customers who don't care about past messages
or customizations could start an instance off of this
and start communicating.
Of course, there are a lot of things missing in the
initial version:
* messages!
* file assets -- avatars, emojis, attachments
* probably lots of other minor things
We currently ignore any incoming dates from Hipchat data
and just use the current time. This is consistent with
other imports.
We also don't have any docs yet, although the process
will be extremely similar to the "Slack" process:
https://zulipchat.com/help/import-from-slack
Also, there's a comment at the top of convert_hipchat_data.py
that describes how to test this in dev mode.
I tested this by following the steps in the comment above.
The users just "show up" in /devlogin, so that's nice, and
you can send messages to other users. To verify the stream
data you have to go into the gear menu and click on "All
Streams", then you can subscribe and send a message.
Production users will need to get new passwords and
re-subscribe to streams. We will probably auto-subscribe
all users to public streams.
The missing fields are checked by `full_clean()` method.
The datetime field errors are ignored as they are fixed
in the `import_realm` script. The field that are
allowed to be null are not included while building
this object.
The 'last_modified' value in emoji records is
needed for uploading the file to the S3 backend.
We set the same in the function 'import_uploads_s3'.
We also have to remove the keyword 'last_modified'
while building the RealmEmoji dict, as it is not
a field which exists in RealmEmoji objects.
Steve Howell
Tim Abbott
Rhea Parekh