How to call docker interface

Docker is an open source application container engine that helps developers quickly build, package and publish applications. Docker provides an open RESTful API to easily manage Docker containers and images. In this article, we will discuss how to call the Docker API and how to use it to manage Docker containers and images.

1. Basic concepts of Docker API

Docker API is a set of RESTful APIs that provide a series of HTTP endpoints to interact with the Docker engine. All Docker commands can be executed through the Docker API, so Docker containers and images can be managed through the Docker API.

2. How to call the Docker API

To call the Docker API, you can use any programming language that supports HTTP requests, such as Python, Java, and Ruby. Calling the Docker API is divided into the following steps:

2.1 Create a Docker container

First, you need to use the Docker API to create a Docker container. The process of creating a container requires specifying the container's name, image, port mapping and other information. The following is a sample code that uses Python to call the Docker API to create a container:

import docker

client = docker.DockerClient(base_url='tcp://192.168.99.100:2376')
container = client.containers.run('ubuntu', command='/bin/sleep 60', detach=True)
print(container.id)

In this code, we use the Docker SDK for Python to connect to the API endpoint of the Docker engine. Then, we create a Docker container named ubuntu and run the sleep command in the container.

2.2 Get the status of the Docker container

Next, you can use the Docker API to get the status information of the Docker container. Status information includes the container's ID, name, IP address, port mapping, etc. The following is a sample code that uses Python to call the Docker API to obtain container status information:

import docker

client = docker.DockerClient(base_url='tcp://192.168.99.100:2376')
container = client.containers.get('container_name')
print(container.attrs)

In this code, we use the Docker SDK for Python to connect to the API endpoint of the Docker engine. Then, we get the Docker container named container_name and print out the container's attribute information.

2.3 Starting and stopping Docker containers

You can use the Docker API to start and stop Docker containers. When starting a container, you need to specify the name and ID of the container. When stopping a container, you need to specify information such as the name of the container and the stop time. Here is a sample code that uses Python to call the Docker API to start and stop a container:

import docker

client = docker.DockerClient(base_url='tcp://192.168.99.100:2376')
container = client.containers.get('container_name')
container.start()
container.stop()

In this code, we use the Docker SDK for Python to connect to the Docker engine's API endpoint. We then get the Docker container named container_name and use the start and stop methods to start and stop the container.

2.4 Build and push Docker images

You can use the Docker API to build and push Docker images. To build an image, you need to specify the path to the Dockerfile file and the name of the image. Pushing an image requires specifying the image name, login credentials and other information. The following is a sample code that uses Python to call the Docker API to build and push a Docker image:

import docker

client = docker.DockerClient(base_url='tcp://192.168.99.100:2376')
image, _ = client.images.build(path='.', tag='my_image')
client.login(username='user', password='password')
client.images.push('my_image')

In this code, we use the Docker SDK for Python to connect to the API endpoint of the Docker engine. We then use the build method to build a Docker image named my_image. Finally, we push the Docker image using the push method and log in with our username and password.

3. Conclusion

This article briefly introduces how to use the Docker API to call Docker containers and images. Use the Docker API to easily manage Docker containers and images to speed up building, packaging, and publishing applications. It is important to note that appropriate credentials need to be used when calling the Docker API to ensure the security of Docker containers and images.

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