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This class encapsulates our use of the Danger gem.
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This reverts merge request !32196
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Convert a bunch of Danger rules so they can run
locally.
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Change from ruby mdl to node markdownlint, add
config file to root of project, delete old config
file, update exceptions, and fix one doc that
was didn't meet standards
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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See https://gitlab.com/gitlab-com/gl-infra/infrastructure/issues/6069
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Danger asks for throughput labels
See merge request gitlab-org/gitlab-ce!30622
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We have another rule that requires squash enabled
when suggestions are applied. No need to fail the
ones that are more than 72 characters long since
they will be squashed anyway.
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Stop using two separate lists for the conditions which files require a
database review.
Related discussion:
https://gitlab.com/gitlab-org/gitlab-ce/merge_requests/30156#note_187732053
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If an MR only changes files within `doc/` we can save valueable CI time
by prepending a branch name with `docs-`. This danger rule helps educate
people about that fact.
On the other hand, if someone has a branch with a `docs` prefix or
suffix, the branch shouldn't contain any changes outside of the `docs`
directory
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This backports all EE schema changes to CE, including EE migrations,
ensuring both use the same schema.
== Updated tests
A spec related to ghost and support bot users had to be modified to make
it pass. The spec in question assumes that the "support_bot" column
exists when defining the spec. In the single codebase setup this is not
the case, as the column is backported in a later migration. Any attempt
to use a different schema version or use of "around" blocks to
conditionally disable specs won't help, as reverting the backport
migration would also drop the "support_bot" column. Removing the
"support_bot" tests entirely appears to be the only solution.
We also need to update some foreign key tests now that we have
backported the EE columns. Fortunately, these changes are very minor.
== Backporting migrations
This commit moves EE specific migrations (except those for the Geo
tracking database) and related files to CE, and also removes any traces
of the ee/db directory.
Some migrations had to be modified or removed, as they no longer work
with the schema being backported. These migrations were all quite old,
so we opted for removing them where modifying them would take too much
time and effort.
Some old migrations were modified in EE, while also existing in CE. In
these cases we took the EE code, and in one case removed them entirely.
It's not worth spending time trying to merge these changes somehow as we
plan to remove old migrations around the release of 12.0, see
https://gitlab.com/gitlab-org/gitlab-ce/issues/59177 for more details.
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Excludes MR author from gitlab_ui and single_codebase Review roulette
results.
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A colon-emoji like :100: can be valid in the case where we're talking
about the GitLab feature that processes these into emojis. It's fine to
warn about those, but failing the pipeline is too restrictive.
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reviewers.
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So it's more modular and extensible
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This would return `people.size` before, when it should return `nil`.
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This commit adds a rule to Danger that warns the developer when their MR
includes changes to a CE .vue file that has a counterpart in the
EE repo or vice-versa.
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Change reviewer roulette to always pick the same reviewers for the same
branch name. We do this by:
1. Making the branch name 'canonical' across CE and EE by stripping a
leading 'ce-' or 'ee-' and a trailing '-ce' or '-ee'. If people are
following our branch naming guidelines, this should give the same
branch name in both repos.
2. Converting the branch name to a stable integer by taking the integer
form of its MD5.
3. Passing that integer as a seed to Ruby's `Random` class, which 'may
be used to ensure repeatable sequences of pseudo-random numbers
between different runs of the program' (from the Ruby documentation).
The upshot is that the same branch name (in CE and EE) should always
pick the same reviewers, and those should be evenly distributed across
the set of possible reviewers due to the use of MD5.
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