kind: pipeline
name: default

platform:
    os: linux
    arch: amd64

steps:
- name: edelweiss_swc
  image: mythx.azurecr.io/tools/edelweiss
  environment:
    IGNORE_FALSE_POSITIVES:
      from_secret: IGNORE_FALSE_POSITIVES
    IGNORE_REGRESSIONS:
      from_secret: IGNORE_REGRESSIONS
    AWS_DEFAULT_REGION:
      from_secret: AWS_DEFAULT_REGION
    AWS_ACCESS_KEY_ID:
      from_secret: AWS_ACCESS_KEY_ID
    AWS_SECRET_ACCESS_KEY:
      from_secret: AWS_SECRET_ACCESS_KEY
    MONGO_URL:
      from_secret: MONGO_URL
  commands:
    # CIRCLE_* env vars is used by edelweiss cli to generate
    # the reports storage directory structure
    - export CIRCLE_BUILD_NUM=$DRONE_BUILD_NUMBER
    - export CIRCLE_BUILD_URL=$DRONE_BUILD_LINK
    - export CIRCLE_BRANCH=$DRONE_BRANCH
    - export CIRCLE_SHA1=$DRONE_COMMIT_SHA
    # install pip module from current dir
    - pip3 install $(pwd)
    # update SWC-registry
    - cd /edelweiss
    - git submodule update --init --recursive
    - git submodule update --remote --recursive
    # run edelewiss tests
    # Temporarily stop Edelweiss drone
    #- edelweiss-cli 
    #  -p mythril 
    #  --timeout 90 
    #  --output-dir $(pwd) 
    #  --s3 
    #  --dynamodb 
    #  --circle-ci CircleCI/mythril.csv 
    #  --ignore-false-positives $IGNORE_FALSE_POSITIVES 
    #  --ignore-regressions $IGNORE_REGRESSIONS
  when:
    branch:
    - develop
    - master
    event:
    - push
    - tag

image_pull_secrets:
    - DOCKER_CONFIG_JSON