The SCF container image feature has been launched, so you can use images for development. This document describes how to install an image and use it for development.
Prerequisites
Docker has been installed in the development environment.
Directions
Getting image
The SCF image is based on CentOS 7.7.1908 and available as a public image in TKE. You can search for scf-repo on the public image page to view the image information.
If the command prompts a permission error and cannot be executed normally, add sudo before the command and try again.
2. You can view the runtime contained in the current image in the /scf/lang/ directory.
As the SCF source image contains all runtimes, it is relatively large. Please refer to the following table and choose a runtime image according to your needs.
# Run this command to find the IMAGE ID and copy it
docker images
docker tag d64a665357b6 scf:node12
Starting container and mounting directory
Run the following command to start the container and mount the local directory to a directory in the container (if the directory does not exist, it will be created automatically). This document uses mounting the /path/to/your_project directory to the /tmp/your_project directory in the container as an example.
docker run -it -v /path/to/your_project:/tmp/your_project scf:node12 /bin/bash
Installing dependencies in container
1. After starting the container, run the cd command to enter the directory in the container. Then, run the npm command to install NodeJieba in this directory as shown below:
cd /tmp/your_project
npminstall nodejieba --save
2. The dependency will be installed in the local /path/to/your_project directory. Run the exit command to exit the container as shown below:
# Exit the container
exit
Following the above steps, you can install dependencies through the container image and then redeploy the code to SCF. For the Node.js language, online dependency installation is also supported, so that dependencies will be automatically installed upon upload.
Using image for development
This document uses Python 3.6 as an example to describe how to use a container for development and testing.
# Run this command to find the IMAGE ID and copy it
docker images
docker tag d64a665357b6 scf:python3
Starting container and mounting directory
1. Run the following command to start the container and mount the local project directory to a directory in the container (if the directory does not exist, it will be created automatically):
docker run -it -v /path/to/your_project:/tmp/your_project scf:node12 /bin/bash
2. Run the docker exec command to enter the container for development as shown below:
dockerps
# Get the CONTAINER ID
dockerexec -it CONTAINER_ID /bin/bash
Saving image
Run the following command to submit changes to the local image for subsequent use:
