The Slack API always (even for failed requests) puts the access scopes
of the token passed in, into "X-OAuth-Scopes"[1], which can be used to
determine if any are missing -- and if so, which.
[1] https://api.slack.com/legacy/oauth-scopes#working-with-scopes
A few major themes here:
- We remove short_name from UserProfile
and add the appropriate migration.
- We remove short_name from various
cache-related lists of fields.
- We allow import tools to continue to
write short_name to their export files,
and then we simply ignore the field
at import time.
- We change functions like do_create_user,
create_user_profile, etc.
- We keep short_name in the /json/bots
API. (It actually gets turned into
an email.)
- We don't modify our LDAP code much
here.
Fixes#2665.
Regenerated by tabbott with `lint --fix` after a rebase and change in
parameters.
Note from tabbott: In a few cases, this converts technical debt in the
form of unsorted imports into different technical debt in the form of
our largest files having very long, ugly import sequences at the
start. I expect this change will increase pressure for us to split
those files, which isn't a bad thing.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Automatically generated by the following script, based on the output
of lint with flake8-comma:
import re
import sys
last_filename = None
last_row = None
lines = []
for msg in sys.stdin:
m = re.match(
r"\x1b\[35mflake8 \|\x1b\[0m \x1b\[1;31m(.+):(\d+):(\d+): (\w+)", msg
)
if m:
filename, row_str, col_str, err = m.groups()
row, col = int(row_str), int(col_str)
if filename == last_filename:
assert last_row != row
else:
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
with open(filename) as f:
lines = f.readlines()
last_filename = filename
last_row = row
line = lines[row - 1]
if err in ["C812", "C815"]:
lines[row - 1] = line[: col - 1] + "," + line[col - 1 :]
elif err in ["C819"]:
assert line[col - 2] == ","
lines[row - 1] = line[: col - 2] + line[col - 1 :].lstrip(" ")
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
Slack owners and primary owners will be mapped to zulip
realm owners on import.
Previously, we mapped the owner and primary owner roles of slack
to realm admins in zulip. As we have added ROLE_REALM_OWNER in
8bbc074, we now map slack owners and primary owners to owners in
zulip.
Tests are modified for checking all the 3 cases-
- Slack workspace primary owner
- Slack workspace owner
- Slack workspace admin
This commit also has docs changes in 'import-from-slack.md'.
Generated by pyupgrade --py36-plus --keep-percent-format, but with the
NamedTuple changes reverted (see commit
ba7906a3c6, #15132).
Signed-off-by: Anders Kaseorg <anders@zulip.com>
mock is just a backport of the standard library’s unittest.mock now.
The SAMLAuthBackendTest change is needed because
MagicMock.call_args.args wasn’t introduced until Python
3.8 (https://bugs.python.org/issue21269).
The PROVISION_VERSION bump is skipped because mock is still an
indirect dev requirement via moto.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
If the #random channel in Slack is deactivated, we should follow
Zulip's data model of not allowing deactivated, default streams.
This had apparently happened in zulipchat.com for a few organizations,
resulting in weird exceptions trying to invite new users.
Slack has disabled creation of legacy tokens, which means we have to use other
tokens for importing the data. Thus, we shouldn't throw an error if the token
doesn't match the legacy token format.
Since we do not have any other validation for those tokens yet, we log a warning
but still try to continue with the import assuming that the token has the right
scopes.
See https://api.slack.com/changelog/2020-02-legacy-test-token-creation-to-retire.
Generated by `pyupgrade --py3-plus --keep-percent-format` on all our
Python code except `zthumbor` and `zulip-ec2-configure-interfaces`,
followed by manual indentation fixes.
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
This updates our error handling of invalid Slack API tokens (and other
networking error handling) to mostly make sense:
* A token that doesn't start with `xoxp-` gives an extended error early.
* An AssertionError for the codebase is correctly declared as such.
* We check for token shape errors before querying the Slack API.
We could still do useful work to raise custom exception classes here.
Thanks to @stavrospat for raising this issue.
Fixes#1727.
With the server down, apply migrations 0245 and 0246. 0246 will remove
the pub_date column, so it's essential that the previous migrations
ran correctly to copy data before running this.
This commits reduces the number of values returned by
channel_to_zerver_stream function by setting the values
directly in realm dict and returning it instead.
Fixes a bug in import_realm where secondary attributes like message
visibility weren't being set, and also makes bugs like this less likely in
the future.
Also, putting the plan_type change at the end of import_realm, so that
future restrictions to LIMITED realms don't affect the import process.
This works by yielding messages sorted based on timestamp. Because
the Slack exports are broken into files by date, it's convenient to do
a 2-layer sorting process, where we open all the files for a given
day, and then sort their messages by timestamp before yielding them.
Fixes#10930.
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`.
This is mostly an extraction, but it does change the
way we calculate `content`. We append the markdown
links from ALL files to any content that came in the
message itself.
Separating this out also allows us to add more
test coverage for the extracted code.
We now use subscriber_map for building UserMessage
rows in Slack/Gitter conversions.
This is mostly designed to simplify the code, rather
than having to scan the entire subscribers for each
message.
I am guessing this will improve performance for most
conversions. We sort small lists on every message,
in order to be deterministic, but the sorting cost
is probably more than offset by avoiding the O(N)
scans across all subscriptions. Also, it's probably
negligible in the grand scheme of things, compared
to JSON parsing, file I/O, etc.
This commits also fixes some typos with mentioned_users_id ->
mentioned_user_ids and cleans up a test a bit as well.
* If `zerver_realmauditlog` is present in the exported data,
`RealmAuditLog` would be imported normally.
* If it is not present, `create_subscription_events`
function in would create the `subscription_created`
events for RealmAuditLog. The reason this function
is in `import_realm` module and not in the individual
export tool scripts (like Slack) is because this
function would be common for all export tools.
This fixes#9846 for users who have not already done an import of
their organization from Slack.
Fixes#9846.
https://github.com/houstondatavis/slack-export/blob/master/users.json
JSON or JavaScript decodes "\/" to / (and some encoders always write
"\/" to avoid accidentally creating a </script> tag), while Python
assumes "\/" is a typo for "\\/" and decodes it to \/.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
The only changes visible at the AST level, checked using
https://github.com/asottile/astpretty, are
zerver/lib/test_fixtures.py:
'\x1b\\[(1|0)m' ↦ '\\x1b\\[(1|0)m'
'\\[[X| ]\\] (\\d+_.+)\n' ↦ '\\[[X| ]\\] (\\d+_.+)\\n'
which is fine because re treats '\\x1b' and '\\n' the same way as
'\x1b' and '\n'.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Messages can be bulky, and storing them in a single
data structure can cause a memory error.
In this commit, the messages are written to a file
batch-wise, thus avoiding the memory error.
Previously, the messages where being stored in a output file from
outside the function 'convert_slack_workspace_messages', but
now we store it from the inside the mentioned function.
This will help in processing and saving the messages batch-wise
so as to avoid a memory error.
Reactions are returned separately from 'convert_slack_workspace_messages'
rather than 'message_json'.
Also updated test for 'convert_slack_workspace_messages' and an additional
test for reactions is added.
This was stored as a fixture file under zerver/fixtures, which caused
problems, since we don't show that directory under production (as its
part of the test system).
The simplest emergency fix here would be to just move the file, but
when looking at it, it's clear that we don't need or want a fixture
file here; we want a Python object, so we just do that.
A valuable follow-up improvement to this block would be to create an
actual new Realm object (not saved to the database), and dump it the
same code we use in the export tool; that should handle the vast
majority of these correctly.
Fixes#9123.
Change 'get_user_data' function to a more general function
to get data from the slack api using legacy tokens.
Also, change the error handling as upon invalid token,
the response is 200, but the response has an error
field in it.
For eg. Go to the following link with invalid token:
https://slack.com/api/emoji.list?token=xoxp-249056023425
Remove allocation ID function from slack import script. All the IDs
count will start from 0. Hence the ID List returned
by the allocation function is of no use, and we remove its implementation.
(example: get_total_messages_and_attachments function is of no use anymore,
hence we remove it)
In importing avatars, we use the implementation where the 'avatar_path'
is seperately calculated using realm and user ID and then the content
of the path provided in the avatar's 'records.json' are copied to this
'avatar_path'.
Similary, here for the uploads, 's3_file_name' is seperately calculated
using the realm ID and uploaded file name and then the content of the
path provided in upload's 'records.json' are copied to this 's3_file_name'.
The domain name is being set in the helper function
'slack_workspace_to_realm', but it should be set in the main function
'do_convert_data', as we need it in other child functions of
'do_convert_data'.
if the test fails, the 'output_dir' would not be deleted and
hence it would give an error when we run the tests next time,
as 'do_convert_data' expects an empty 'output_dir'.
Also the unzipped data file should be removed if the test fails
at 'do_convert_data'.