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classicvalues committed Jun 12, 2024
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7 changes: 0 additions & 7 deletions .circleci/config.yml

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41 changes: 0 additions & 41 deletions .deepsource.toml

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246 changes: 123 additions & 123 deletions .github/workflows/alibabacloud.yml
Original file line number Diff line number Diff line change
@@ -1,123 +1,123 @@
# This workflow will build and push a new container image to Alibaba Cloud Container Registry (ACR),
# and then will deploy it to Alibaba Cloud Container Service for Kubernetes (ACK), when there is a push to the master branch.
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ACR repository to store your container images.
# You can use ACR EE instance for more security and better performance.
# For instructions see https://www.alibabacloud.com/help/doc-detail/142168.htm
#
# 2. Create an ACK cluster to run your containerized application.
# You can use ACK Pro cluster for more security and better performance.
# For instructions see https://www.alibabacloud.com/help/doc-detail/95108.htm
#
# 3. Store your AccessKey pair in GitHub Actions secrets named `ACCESS_KEY_ID` and `ACCESS_KEY_SECRET`.
# For instructions on setting up secrets see: https://developer.github.com/actions/managing-workflows/storing-secrets/
#
# 4. Change the values for the REGION_ID, REGISTRY, NAMESPACE, IMAGE, ACK_CLUSTER_ID, and ACK_DEPLOYMENT_NAME.
#

name: Build and Deploy to ACK

on:
push:
branches:
- master

# Environment variables available to all jobs and steps in this workflow.
env:
REGION_ID: cn-hangzhou
REGISTRY: registry.cn-hangzhou.aliyuncs.com
NAMESPACE: namespace
IMAGE: repo
TAG: ${{ github.sha }}
ACK_CLUSTER_ID: clusterID
ACK_DEPLOYMENT_NAME: nginx-deployment

ACR_EE_REGISTRY: myregistry.cn-hangzhou.cr.aliyuncs.com
ACR_EE_INSTANCE_ID: instanceID
ACR_EE_NAMESPACE: namespace
ACR_EE_IMAGE: repo
ACR_EE_TAG: ${{ github.sha }}

permissions:
contents: read

jobs:
build:
runs-on: ubuntu-latest
environment: production

steps:
- name: Checkout
uses: actions/checkout@v3

# 1.1 Login to ACR
- name: Login to ACR with the AccessKey pair
uses: aliyun/acr-login@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"

# 1.2 Buid and push image to ACR
- name: Build and push image to ACR
run: |
docker build --tag "$REGISTRY/$NAMESPACE/$IMAGE:$TAG" .
docker push "$REGISTRY/$NAMESPACE/$IMAGE:$TAG"
# 1.3 Scan image in ACR
- name: Scan image in ACR
uses: aliyun/acr-scan@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
repository: "${{ env.NAMESPACE }}/${{ env.IMAGE }}"
tag: "${{ env.TAG }}"

# 2.1 (Optional) Login to ACR EE
- uses: actions/checkout@v3
- name: Login to ACR EE with the AccessKey pair
uses: aliyun/acr-login@v1
with:
login-server: "https://${{ env.ACR_EE_REGISTRY }}"
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"

# 2.2 (Optional) Build and push image ACR EE
- name: Build and push image to ACR EE
run: |
docker build -t "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG" .
docker push "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG"
# 2.3 (Optional) Scan image in ACR EE
- name: Scan image in ACR EE
uses: aliyun/acr-scan@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
repository: "${{ env.ACR_EE_NAMESPACE}}/${{ env.ACR_EE_IMAGE }}"
tag: "${{ env.ACR_EE_TAG }}"

# 3.1 Set ACK context
- name: Set K8s context
uses: aliyun/ack-set-context@v1
with:
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
cluster-id: "${{ env.ACK_CLUSTER_ID }}"

# 3.2 Deploy the image to the ACK cluster
- name: Set up Kustomize
run: |-
curl -s "https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh" | bash /dev/stdin 3.8.6
- name: Deploy
run: |-
./kustomize edit set image REGISTRY/NAMESPACE/IMAGE:TAG=$REGISTRY/$NAMESPACE/$IMAGE:$TAG
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$ACK_DEPLOYMENT_NAME
kubectl get services -o wide
# This workflow will build and push a new container image to Alibaba Cloud Container Registry (ACR),
# and then will deploy it to Alibaba Cloud Container Service for Kubernetes (ACK), when there is a push to the master branch.
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ACR repository to store your container images.
# You can use ACR EE instance for more security and better performance.
# For instructions see https://www.alibabacloud.com/help/doc-detail/142168.htm
#
# 2. Create an ACK cluster to run your containerized application.
# You can use ACK Pro cluster for more security and better performance.
# For instructions see https://www.alibabacloud.com/help/doc-detail/95108.htm
#
# 3. Store your AccessKey pair in GitHub Actions secrets named `ACCESS_KEY_ID` and `ACCESS_KEY_SECRET`.
# For instructions on setting up secrets see: https://developer.github.com/actions/managing-workflows/storing-secrets/
#
# 4. Change the values for the REGION_ID, REGISTRY, NAMESPACE, IMAGE, ACK_CLUSTER_ID, and ACK_DEPLOYMENT_NAME.
#

name: Build and Deploy to ACK

on:
push:
branches:
- master

# Environment variables available to all jobs and steps in this workflow.
env:
REGION_ID: cn-hangzhou
REGISTRY: registry.cn-hangzhou.aliyuncs.com
NAMESPACE: namespace
IMAGE: repo
TAG: ${{ github.sha }}
ACK_CLUSTER_ID: clusterID
ACK_DEPLOYMENT_NAME: nginx-deployment

ACR_EE_REGISTRY: myregistry.cn-hangzhou.cr.aliyuncs.com
ACR_EE_INSTANCE_ID: instanceID
ACR_EE_NAMESPACE: namespace
ACR_EE_IMAGE: repo
ACR_EE_TAG: ${{ github.sha }}

permissions:
contents: read

jobs:
build:
runs-on: ubuntu-latest
environment: production

steps:
- name: Checkout
uses: actions/checkout@v3

# 1.1 Login to ACR
- name: Login to ACR with the AccessKey pair
uses: aliyun/acr-login@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"

# 1.2 Buid and push image to ACR
- name: Build and push image to ACR
run: |
docker build --tag "$REGISTRY/$NAMESPACE/$IMAGE:$TAG" .
docker push "$REGISTRY/$NAMESPACE/$IMAGE:$TAG"
# 1.3 Scan image in ACR
- name: Scan image in ACR
uses: aliyun/acr-scan@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
repository: "${{ env.NAMESPACE }}/${{ env.IMAGE }}"
tag: "${{ env.TAG }}"

# 2.1 (Optional) Login to ACR EE
- uses: actions/checkout@v3
- name: Login to ACR EE with the AccessKey pair
uses: aliyun/acr-login@v1
with:
login-server: "https://${{ env.ACR_EE_REGISTRY }}"
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"

# 2.2 (Optional) Build and push image ACR EE
- name: Build and push image to ACR EE
run: |
docker build -t "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG" .
docker push "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG"
# 2.3 (Optional) Scan image in ACR EE
- name: Scan image in ACR EE
uses: aliyun/acr-scan@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
repository: "${{ env.ACR_EE_NAMESPACE}}/${{ env.ACR_EE_IMAGE }}"
tag: "${{ env.ACR_EE_TAG }}"

# 3.1 Set ACK context
- name: Set K8s context
uses: aliyun/ack-set-context@v1
with:
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
cluster-id: "${{ env.ACK_CLUSTER_ID }}"

# 3.2 Deploy the image to the ACK cluster
- name: Set up Kustomize
run: |-
curl -s "https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh" | bash /dev/stdin 3.8.6
- name: Deploy
run: |-
./kustomize edit set image REGISTRY/NAMESPACE/IMAGE:TAG=$REGISTRY/$NAMESPACE/$IMAGE:$TAG
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$ACK_DEPLOYMENT_NAME
kubectl get services -o wide
90 changes: 45 additions & 45 deletions .github/workflows/anchore.yml
Original file line number Diff line number Diff line change
@@ -1,45 +1,45 @@
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.

# This workflow checks out code, builds an image, performs a container image
# vulnerability scan with Anchore's Grype tool, and integrates the results with GitHub Advanced Security
# code scanning feature. For more information on the Anchore scan action usage
# and parameters, see https://github.com/anchore/scan-action. For more
# information on Anchore's container image scanning tool Grype, see
# https://github.com/anchore/grype
name: Anchore Container Scan

on:
push:
branches: [ master ]
pull_request:
# The branches below must be a subset of the branches above
branches: [ master ]
schedule:
- cron: '22 9 * * 2'

permissions:
contents: read

jobs:
Anchore-Build-Scan:
permissions:
contents: read # for actions/checkout to fetch code
security-events: write # for github/codeql-action/upload-sarif to upload SARIF results
runs-on: ubuntu-latest
steps:
- name: Checkout the code
uses: actions/checkout@v3
- name: Build the Docker image
run: docker build . --file Dockerfile --tag localbuild/testimage:latest
- name: Run the Anchore scan action itself with GitHub Advanced Security code scanning integration enabled
uses: anchore/scan-action@487706fd9fc531f35bd6fc1edcdbae6bb79870fa
with:
image: "localbuild/testimage:latest"
acs-report-enable: true
- name: Upload Anchore Scan Report
uses: github/codeql-action/upload-sarif@v2
with:
sarif_file: results.sarif
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.

# This workflow checks out code, builds an image, performs a container image
# vulnerability scan with Anchore's Grype tool, and integrates the results with GitHub Advanced Security
# code scanning feature. For more information on the Anchore scan action usage
# and parameters, see https://github.com/anchore/scan-action. For more
# information on Anchore's container image scanning tool Grype, see
# https://github.com/anchore/grype
name: Anchore Container Scan

on:
push:
branches: [ master ]
pull_request:
# The branches below must be a subset of the branches above
branches: [ master ]
schedule:
- cron: '22 9 * * 2'

permissions:
contents: read

jobs:
Anchore-Build-Scan:
permissions:
contents: read # for actions/checkout to fetch code
security-events: write # for github/codeql-action/upload-sarif to upload SARIF results
runs-on: ubuntu-latest
steps:
- name: Checkout the code
uses: actions/checkout@v3
- name: Build the Docker image
run: docker build . --file Dockerfile --tag localbuild/testimage:latest
- name: Run the Anchore scan action itself with GitHub Advanced Security code scanning integration enabled
uses: anchore/scan-action@487706fd9fc531f35bd6fc1edcdbae6bb79870fa
with:
image: "localbuild/testimage:latest"
acs-report-enable: true
- name: Upload Anchore Scan Report
uses: github/codeql-action/upload-sarif@v2
with:
sarif_file: results.sarif
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