This document describes how to quickly deploy a Flask business to the cloud through an SCF web function.
This document mainly describes how to deploy in the console. You can also complete the deployment on the command line. For more information, see Deploying Framework on Command Line.
WebFuncin the search box to filter all HTTP-triggered function templates, select FlaskDemo, and click Next as shown below:
Run the following command to confirm that Flask has been installed in your local environment.
pip install Flask
Hello World sample project locally.
In the project directory, create the
app.py file to implement the Hello World application. Below is the sample code:
python3 app.py command locally to start the
app.py file. Below is the sample code:
* Serving Flask app "app" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
127.0.0.1 - - [22/Jun/2021 09:41:04] "GET / HTTP/1.1" 200 -
http://127.0.0.1:5000 in a browser, and you can access the sample Flask project locally as shown below:
Next, perform the following steps to make simple modifications to the locally created project, so that it can be quickly deployed through a web function. The steps of project transformation for Flask are as follows:
requirements.txtfile first with the following content:
#requirements.txt Flask==1.0.2 werkzeug==0.16.0
Due to the limitation of SCF's built-in runtime environment version (Python 3.6), only lower versions of Werkzeug (<=1.0.x) can be used, while later versions may not work. The runtime environment version upgrade has been planned. Stay tuned.
pip install -r requirements.txt
Modify the listening address and port
The listening port in the HTTP-triggered function must be 9000, so you need to change the listening address and port to
0.0.0.0:9000 as shown below:
You can also configure the listening port through the environment variable in
scf_bootstrap bootstrap file
scf_bootstrap bootstrap file in the project root directory and add the following content to it (which is used to configure environment variables, specify service startup commands, and make sure that your service can be started normally through this file):
After the creation is completed, you need to run the following command to modify the executable permission of the file. By default, the permission
755 is required for it to start normally. Below is the sample code:
chmod 777 scf_bootstrap
- In the SCF environment, only files in the
/tmpdirectory are readable/writable. We recommend you select
/tmpwhen outputting files. If you select other directories, write will fail due to the lack of permissions.
- If you want to output environment variables in the log, you need to add the
-uparameter before the startup command, such as
python -u app.py.
After the local configuration is completed, run the following command to start the service (with execution in the
scf_bootstrap directory as an example) and make sure that your service can be normally started locally.
Log in to the SCF console and click Functions on the left sidebar.
Select the region where to create a function at the top of the page and click Create to enter the function creation process.
Select Create from scratch and configure the options as prompted as shown below:
After the deployment is completed, you can quickly access and test your web service in the SCF console and try out various features of SCF, such as layer binding and log management. In this way, you can enjoy the advantages of low cost and flexible scaling brought by the serverless architecture.