diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index f5ab4246..bacc7fd8 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -2,7 +2,6 @@ stages: - build - build docker image - test - - upload artifacts variables: # Make GitLab CI go fast: @@ -208,31 +207,6 @@ test:dockerlint: - if: '$CI_COMMIT_REF_NAME == "master"' - if: '$CI_COMMIT_REF_NAME == "next"' -# --------------------------------------------------------------------- # -# Store binaries as package so they have download urls # -# --------------------------------------------------------------------- # - -# DISABLED FOR NOW, NEEDS TO BE FIXED AT A LATER TIME: - -#publish:package: -# stage: "upload artifacts" -# needs: -# - "docker:tags" -# rules: -# - if: "$CI_COMMIT_TAG" -# image: curlimages/curl:latest -# tags: ["docker"] -# variables: -# GIT_STRATEGY: "none" # Don't need a clean copy of the code, we just operate on artifacts -# script: -# - 'BASE_URL="${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/packages/generic/conduit-${CI_COMMIT_REF_SLUG}/build-${CI_PIPELINE_ID}"' -# - 'curl --header "JOB-TOKEN: $CI_JOB_TOKEN" --upload-file build-output/linux_amd64/conduit "${BASE_URL}/conduit-x86_64-unknown-linux-gnu"' -# - 'curl --header "JOB-TOKEN: $CI_JOB_TOKEN" --upload-file build-output/linux_arm_v7/conduit "${BASE_URL}/conduit-armv7-unknown-linux-gnu"' -# - 'curl --header "JOB-TOKEN: $CI_JOB_TOKEN" --upload-file build-output/linux_arm64/conduit "${BASE_URL}/conduit-aarch64-unknown-linux-gnu"' -# - 'curl --header "JOB-TOKEN: $CI_JOB_TOKEN" --upload-file build-output/linux_amd64/conduit.deb "${BASE_URL}/conduit-x86_64-unknown-linux-gnu.deb"' -# - 'curl --header "JOB-TOKEN: $CI_JOB_TOKEN" --upload-file build-output/linux_arm_v7/conduit.deb "${BASE_URL}/conduit-armv7-unknown-linux-gnu.deb"' -# - 'curl --header "JOB-TOKEN: $CI_JOB_TOKEN" --upload-file build-output/linux_arm64/conduit.deb "${BASE_URL}/conduit-aarch64-unknown-linux-gnu.deb"' - # Avoid duplicate pipelines # See: https://docs.gitlab.com/ee/ci/yaml/workflow.html#switch-between-branch-pipelines-and-merge-request-pipelines workflow: