在本地运行并测试容器
在您的机器上构建、运行容器并访问端点
在本地运行并测试容器 是 CoddyKit 上的免费 MLOps Academy 课时。 这是第 4 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 MLOps Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 MLOps Academy 课程共包含 4 节课。
本课时的部分内容尚未翻译，以英文显示。
Run It Locally First
Before shipping, run the container on your own machine. Catching bugs locally is far cheaper than debugging them in the cloud.
Start the Container
Launch the image with docker run. Without port mapping it runs, but nothing on your host can reach the API inside.
docker run model-apiMap the Port
The -p flag maps a host port to the container port. Now localhost:8000 reaches the model API serving inside.
docker run -p 8000:8000 model-apiRun in the Background
Add -d to detach and run in the background. Your terminal stays free while the service keeps serving.
docker run -d -p 8000:8000 model-apiList Running Containers
See what is up with docker ps. It shows each container ID, its image, status, and the ports it has mapped.
docker psHit the Health Check
Confirm the service is alive by calling its /health endpoint. A 200 response means it is ready to take predictions.
curl http://localhost:8000/healthSend a Prediction
POST a sample payload to /predict and read the result. This proves the model loads and responds end to end.
curl -X POST http://localhost:8000/predict -d '{"x": [1, 2, 3]}'Read the Logs
When something looks off, check docker logs. The container prints startup errors and stack traces straight to its log stream.
docker logs <container_id>Shell Inside
Open a shell in a running container with docker exec to inspect files or the environment from within.
docker exec -it <container_id> /bin/bashStop and Clean Up
Finish by stopping the container with docker stop. Add --rm at run time so it is removed automatically when it exits.
docker stop <container_id>Test Before You Push
If it runs clean and answers correctly here, it will behave the same in the cloud. Local testing is your last safe gate.
Quick Check
Let us check how you reach the API from your host.
Recap
You ran the image, mapped the port, checked health, sent a prediction, read logs, and cleaned up. Your container is deploy-ready. 🐳
常见问题解答
「在本地运行并测试容器」课时是免费的吗？
是的 — 「在本地运行并测试容器」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 MLOps Academy 课程的其余内容，请升级到 CoddyKit PRO。 MLOps Academy 课程共包含 4 节课。
「在本地运行并测试容器」这节课中我会学到什么？
在您的机器上构建、运行容器并访问端点 你通过在浏览器中直接运行的动手代码来练习 MLOps Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 MLOps Academy 需要有经验吗？
无需任何先前经验。CoddyKit 上的 MLOps Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 4 节课，共 4 节。
「在本地运行并测试容器」课时需要多长时间？
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。
我能在这节 MLOps Academy 课中编写并运行代码吗？
能。每节 MLOps Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。