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Enhance CI workflows for Tai service with Docker socket integration

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- Add Docker socket volume mount to the Docker run commands in both `pr-test.yml` and `unit-test.yml`, allowing the Tai K8s container to interact with the host Docker daemon.
- Update kubeconfig generation steps to dynamically retrieve the K3D IP address, ensuring accurate configuration for Kubernetes interactions.

These changes improve the integration of the Tai service with Kubernetes by enabling better communication with the Docker environment during CI workflows.
This commit is contained in:
Max 2026-03-06 08:29:21 +08:00
parent b7eb0e81e3
commit 2fd8e02edf
2 changed files with 14 additions and 0 deletions
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7
.github/workflows/pr-test.yml vendored
View file

@ -1139,6 +1139,7 @@ jobs:
docker run -d --name tai-k8s \
--network k3d-tai-test \
-p 8081:8080 -p 9101:9100 -p 6443:6443 -p 6081:6080 \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /tmp/kubeconfig-tai-k8s.yml:/etc/tai/kubeconfig.yml:ro \
-e TAI_K8S_UPSTREAM="tcp://${K3D_IP}:6443" \
-e TAI_KUBECONFIG=/etc/tai/kubeconfig.yml \
@ -1981,7 +1982,10 @@ jobs:
docker run -d --name tai-k8s \
--network k3d-tai-test \
-p 8081:8080 -p 9101:9100 -p 6443:6443 -p 6081:6080 \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /tmp/kubeconfig-tai-k8s.yml:/etc/tai/kubeconfig.yml:ro \
-e TAI_K8S_UPSTREAM="tcp://${K3D_IP}:6443" \
-e TAI_KUBECONFIG=/etc/tai/kubeconfig.yml \
yaoapp/tai:latest
for i in $(seq 1 30); do
@ -2006,7 +2010,10 @@ jobs:
- name: Generate kubeconfig for benchmarks
run: |
K3D_IP=$(docker inspect k3d-tai-test-server-0 | jq -r '.[0].NetworkSettings.Networks["k3d-tai-test"].IPAddress')
k3d kubeconfig get tai-test > /tmp/kubeconfig-k3d.yml
sed "s|server: .*|server: https://${K3D_IP}:6443|" /tmp/kubeconfig-k3d.yml \
> /tmp/kubeconfig-tai-k8s.yml
sed 's|server: .*|server: https://127.0.0.1:6443|' /tmp/kubeconfig-k3d.yml \
> ${{ runner.temp }}/kubeconfig-tai.yml

7
.github/workflows/unit-test.yml vendored
View file

@ -847,6 +847,7 @@ jobs:
docker run -d --name tai-k8s \
--network k3d-tai-test \
-p 8081:8080 -p 9101:9100 -p 6443:6443 -p 6081:6080 \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /tmp/kubeconfig-tai-k8s.yml:/etc/tai/kubeconfig.yml:ro \
-e TAI_K8S_UPSTREAM="tcp://${K3D_IP}:6443" \
-e TAI_KUBECONFIG=/etc/tai/kubeconfig.yml \
@ -1487,7 +1488,10 @@ jobs:
docker run -d --name tai-k8s \
--network k3d-tai-test \
-p 8081:8080 -p 9101:9100 -p 6443:6443 -p 6081:6080 \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /tmp/kubeconfig-tai-k8s.yml:/etc/tai/kubeconfig.yml:ro \
-e TAI_K8S_UPSTREAM="tcp://${K3D_IP}:6443" \
-e TAI_KUBECONFIG=/etc/tai/kubeconfig.yml \
yaoapp/tai:latest
for i in $(seq 1 30); do
@ -1512,7 +1516,10 @@ jobs:
- name: Generate kubeconfig for benchmarks
run: |
K3D_IP=$(docker inspect k3d-tai-test-server-0 | jq -r '.[0].NetworkSettings.Networks["k3d-tai-test"].IPAddress')
k3d kubeconfig get tai-test > /tmp/kubeconfig-k3d.yml
sed "s|server: .*|server: https://${K3D_IP}:6443|" /tmp/kubeconfig-k3d.yml \
> /tmp/kubeconfig-tai-k8s.yml
sed 's|server: .*|server: https://127.0.0.1:6443|' /tmp/kubeconfig-k3d.yml \
> ${{ runner.temp }}/kubeconfig-tai.yml