Rename code quality job and artifact. Refs gitlab-org/gitlab-ee#5779

6 files changed, 17 insertions, 17 deletions

diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index ef263a3f106..83699b9d829 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -690,7 +690,7 @@ karma:
       - chrome_debug.log
       - coverage-javascript/
 
-codequality:
+code_quality:
   <<: *dedicated-no-docs-no-db-pull-cache-job
   image: docker:stable
   allow_failure: true
@@ -710,7 +710,7 @@ codequality:
     - export SP_VERSION=$(echo "$CI_SERVER_VERSION" | sed 's/^\([0-9]*\)\.\([0-9]*\).*/\1-\2-stable/')
     - docker run --env SOURCE_CODE="$PWD" --volume "$PWD":/code --volume /var/run/docker.sock:/var/run/docker.sock "registry.gitlab.com/gitlab-org/security-products/codequality:$SP_VERSION" /code
   artifacts:
-    paths: [codeclimate.json]
+    paths: [gl-code-quality-report.json]
     expire_in: 1 week
 
 sast:
diff --git a/doc/ci/examples/code_climate.md b/doc/ci/examples/code_climate.md
index d1aa783cc9c..de49c34130f 100644
--- a/doc/ci/examples/code_climate.md
+++ b/doc/ci/examples/code_climate.md
@@ -5,10 +5,10 @@ GitLab CI and Docker.
 
 First, you need GitLab Runner with [docker-in-docker executor][dind].
 
-Once you set up the Runner, add a new job to `.gitlab-ci.yml`, called `codequality`:
+Once you set up the Runner, add a new job to `.gitlab-ci.yml`, called `code_quality`:
 
 ```yaml
-codequality:
+code_quality:
   image: docker:stable
   variables:
     DOCKER_DRIVER: overlay2
@@ -23,18 +23,18 @@ codequality:
         --volume /var/run/docker.sock:/var/run/docker.sock
         "registry.gitlab.com/gitlab-org/security-products/codequality:$SP_VERSION" /code
   artifacts:
-    paths: [codeclimate.json]
+    paths: [gl-code-quality-report.json]
 ```
 
-The above example will create a `codequality` job in your CI/CD pipeline which
+The above example will create a `code_quality` job in your CI/CD pipeline which
 will scan your source code for code quality issues. The report will be saved
 as an artifact that you can later download and analyze.
 
 TIP: **Tip:**
 Starting with [GitLab Starter][ee] 9.3, this information will
 be automatically extracted and shown right in the merge request widget. To do
-so, the CI/CD job must be named `codequality` and the artifact path must be
-`codeclimate.json`.
+so, the CI/CD job must be named `code_quality` and the artifact path must be
+`gl-code-quality-report.json`.
 [Learn more on code quality diffs in merge requests](https://docs.gitlab.com/ee/user/project/merge_requests/code_quality_diff.html).
 
 [cli]: https://github.com/codeclimate/codeclimate
diff --git a/doc/topics/autodevops/index.md b/doc/topics/autodevops/index.md
index f80c82acfa3..efec365042a 100644
--- a/doc/topics/autodevops/index.md
+++ b/doc/topics/autodevops/index.md
@@ -220,8 +220,8 @@ tests, it's up to you to add them.
 
 ### Auto Code Quality
 
-Auto Code Quality uses the open source
-[`codeclimate` image](https://hub.docker.com/r/codeclimate/codeclimate/) to run
+Auto Code Quality uses the
+[Code Quality image](https://gitlab.com/gitlab-org/security-products/codequality) to run
 static analysis and other code checks on the current code. The report is
 created, and is uploaded as an artifact which you can later download and check
 out.
diff --git a/doc/topics/autodevops/quick_start_guide.md b/doc/topics/autodevops/quick_start_guide.md
index 8989a4c8956..61c04f3d9bb 100644
--- a/doc/topics/autodevops/quick_start_guide.md
+++ b/doc/topics/autodevops/quick_start_guide.md
@@ -126,10 +126,10 @@ Next, a pipeline needs to be triggered. Since the test project doesn't have a
 manually visit `https://gitlab.com/<username>/minimal-ruby-app/pipelines/new`,
 where `<username>` is your username.
 
-This will create a new pipeline with several jobs: `build`, `test`, `codequality`,
+This will create a new pipeline with several jobs: `build`, `test`, `code_quality`,
 and `production`. The `build` job will create a Docker image with your new
 change and push it to the Container Registry. The `test` job will test your
-changes, whereas the `codequality` job will run static analysis on your changes.
+changes, whereas the `code_quality` job will run static analysis on your changes.
 Finally, the `production` job will deploy your changes to a production application.
 
 Once the deploy job succeeds you should be able to see your application by
diff --git a/spec/javascripts/pipelines/mock_data.js b/spec/javascripts/pipelines/mock_data.js
index a5a200973d7..03ead6cd8ba 100644
--- a/spec/javascripts/pipelines/mock_data.js
+++ b/spec/javascripts/pipelines/mock_data.js
@@ -217,7 +217,7 @@ export const pipelineWithStages = {
         browse_path: '/gitlab-org/gitlab-ee/-/jobs/62411442/artifacts/browse',
       },
       {
-        name: 'codequality',
+        name: 'code_quality',
         expired: false,
         expire_at: '2018-04-18T14:16:24.484Z',
         path: '/gitlab-org/gitlab-ee/-/jobs/62411441/artifacts/download',
diff --git a/vendor/gitlab-ci-yml/Auto-DevOps.gitlab-ci.yml b/vendor/gitlab-ci-yml/Auto-DevOps.gitlab-ci.yml
index a00c6e89a1d..d1dbd877150 100644
--- a/vendor/gitlab-ci-yml/Auto-DevOps.gitlab-ci.yml
+++ b/vendor/gitlab-ci-yml/Auto-DevOps.gitlab-ci.yml
@@ -77,7 +77,7 @@ test:
   only:
     - branches
 
-codequality:
+code_quality:
   image: docker:stable
   variables:
     DOCKER_DRIVER: overlay2
@@ -86,9 +86,9 @@ codequality:
     - docker:stable-dind
   script:
     - setup_docker
-    - codeclimate
+    - code_quality
   artifacts:
-    paths: [codeclimate.json]
+    paths: [gl-code-quality-report.json]
 
 performance:
   stage: performance
@@ -409,7 +409,7 @@ rollout 100%:
     ./clair-scanner -c http://docker:6060 --ip $(hostname -i) -r gl-sast-container-report.json -l clair.log -w clair-whitelist.yml ${CI_APPLICATION_REPOSITORY}:${CI_APPLICATION_TAG} || true
   }
 
-  function codeclimate() {
+  function code_quality() {
     docker run --env SOURCE_CODE="$PWD" \
                --volume "$PWD":/code \
                --volume /var/run/docker.sock:/var/run/docker.sock \