mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-02 20:09:57 +08:00
84110d2684
Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
1.5 KiB
1.5 KiB
Requirements
- python 3.6.8+
- pip install -r requirements.txt
How to Build Test Env
sudo docker pull registry.zilliz.com/milvus/milvus-test:v0.2
sudo docker run -it -v /home/zilliz:/home/zilliz -d registry.zilliz.com/milvus/milvus-test:v0.2
How to Create Test Env docker in k8s
# 1. start milvus k8s pod
cd milvus-helm/charts/milvus
helm install --wait --timeout 300s \
--set image.repository=registry.zilliz.com/milvus/engine \
--set persistence.enabled=true \
--set image.tag=PR-3818-gpu-centos7-release \
--set image.pullPolicy=Always \
--set service.type=LoadBalancer \
-f ci/db_backend/mysql_gpu_values.yaml \
-f ci/filebeat/values.yaml \
-f test.yaml \
--namespace milvus \
milvus-ci-pr-3818-1-single-centos7-gpu .
# 2. remove milvus k8s pod
helm uninstall -n milvus milvus-test
# 3. check k8s pod status
kubectl get svc -n milvus -w milvus-test
# 4. login to pod
kubectl get pods --namespace milvus
kubectl exec -it milvus-test-writable-6cc49cfcd4-rbrns -n milvus bash
How to Run Test cases
# Test level-1 cases
pytest . --level=1 --ip=127.0.0.1 --port=19530
# Test level-1 cases in 'test_connect.py' only
pytest test_connect.py --level=1
How to list test cases
# List all cases
pytest --dry-run -qq
# Collect all cases with docstring
pytest --collect-only -qq
# Create test report with allure
pytest --alluredir=test_out . -q -v
allure serve test_out
Contribution getting started
- Follow PEP-8 for naming and black for formatting.