The Botserver uses section headers in the flaskbotrc to
determine which bot to run. Silently setting the section
headers to a bot's username is confusing and makes it
harder for Botserver users to figure out how to get the
Botserver to run the bots they want. This commit empties
all flaskbotrc section headers and thus makes the assignment
of bots explicit and mandatory.
Previously, the Botserver determined which bot to run for an
outgoing webhook by dispatching on a different URL endpoint
for each bot. Now, instead, the Botserver determines which bot
to run by the section header of the bot in the flaskbotrc.
This commit makes the frontend provide the new flaskbotrc
and updates the setup steps for the Botserver in the docs.
This adds the fields `trigger` and `service_email`
to each message event dispatched by outgoing webhook bots.
`trigger` will be used by the Botserver to determine if
a bot is mentioned in the message.
`service_email` will be used by the Botserver to determine
by which outgoing webhook bot the message should be handled.
Fixes#6515.
New suggestions for `sender:King ha` will respect spaces and the new
suggestion will be `Sent by King Hamlet <email>` instead of `Sent by King,
search for ha`. But if first term of sender operand is a valid user email,
tokens will be seperated by spaces. e.g `sender:hamlet@zulip.com abc`
will show `Sent by King Hamlet <email>, search for abc`.
We had debug code that was reaching into msg_list._items when
it could use msg_list.all_messages() instead.
When we split out MessageListData, using _items started
breaking this code.
We fix the issue of check-templates spitting out diff between
expected and found indentation of a file before mentioning the
error message and the file name. Basically stuff was being in the
wrong order despite the fact that in code stuff was happening in the
correct order ie, first print the error message along with the filename
and then the actual diff between expected and found file indentation.
Fixes: #9533.
This should make it easier for us to iterate on a less-dense Zulip.
We create two classes on body, less_dense_mode and more_dense_mode, so
that it's easy as we refactor to separate the two concepts from things
like colors that are independent.
We no longer need or use these, since Zulip installs a pinned version
of node directly with the scripts/setup/install-node tool.
Noticed because in the effort of adding Ubuntu bionic support, we
noticed the package names changed again.
API users, particularly bots, can now send a field
called "widget_content" that will be turned into
a submessage for the web app to look at. (Other
clients can still rely on "content" to be there,
although it's up to the bot author to make the
experience good for those clients as well.)
Right now widget_content will be a JSON string that
encodes a "zform" widget with "choices." Our first
example will be a trivia bot, where users will see
something like this:
Which fruit is orange in color?
[A] orange
[B] blackberry
[C] strawberry
The letters will be turned into buttons on the webapp
and have canned replies.
This commit has a few parts:
- receive widget_content in the request (simply
validating that it's a string)
- parse the JSON in check_message and deeply
validate its structure
- turn it into a submessage in widget.py
A "zform" knows how to render data that follows our
schema for widget messages with form elements like
buttons and choices.
This code won't be triggered until a subsequent
server-side commit takes widget_content from
API callers such as the trivial chat bot and
creates submessages for us.
This starts the concept of a schema checker, similar to
zerver/lib/validator.py on the server. We can use this
to validate incoming data. Our server should filter most
of our incoming data, but it's useful to have client-side
checking to defend against things like upgrade
regressions (i.e. what if we change the name of the field
on the server side without updating all client uses).
We should probably have a try/catch in MessageListView itself
too, for post-processing kind of stuff, but we want to make
this new module defensive in its own right.
We have less urgency to test all templates now. The
most common error is probably unbalanced tags, and our
python-based template checker catches those problems
pretty well.
It's still possible to create bad templates, of course,
but the node tests have never been super deep at finding
semantic errors.
I mistakenly pushed a PR when my tests failed. I ran with
the coverage option, so I saw this brightly colored summary
report that distracted me from the failure message.
This adds a couple newlines and some all caps.