Industry

Within the settings.py file, near the bottom, there is a single line of configuration for static files called STATIC_URL, which is the location of static files in our project.

#django_project/settings.py

STATIC_URL = "/static/"

This means that all static files will be stored in the location http://127.0.0.1:8000/static/ or http://localhost:8000/static/.

Loading static files into Templates

Loading static files in a template is a two-step process:

• add {% load static %} at the top of the template
• add the {% static %} template tag with the proper link

Let's assume we are using a templates/base.html file for a django project. To add our static base.css file to it we'd start by adding {% load static %} at the top of the file and then use the {% static %} tag with the path to it. Since the STATIC_URL is already set to /static/ we don't need to write the full route out of static/base.css and can instead shorten it to base.css.

If you save and reload the web page, you'll see the changes. Adding links for either images in an img folder or JavaScript in a js folder would look as follows:

Collectstatic

Serving static files in production requires several additional steps and is where the confusion typically arises for Django newcomers. Local development is designed to keep things nice and easy, but it is far from performant. In a production environment it is more efficient to combine all static files in the Django project into one location and serve that a single time.

Django comes with a built-in management command, collectstatic, that does this for us.

We need three more configurations in our settings.py file though before collectstatic will work properly. The first is STATICFILES_DIRS which defines additional locations, if any, the staticfiles app should look within when running collectstatic. In our simple example the only location for local files is the static directory so we will set that now.

Next up is STATIC_ROOT which sets the absolute location of these collected files, typically called staticfiles. In other words, when collecstatic is run locally it will combine all available static files, as defined by STATICFILES_DIRS and place them within a directory called staticfiles. This is how we set that configuration

Now we can run the command python manage.py collectstatic which will create a new staticfiles directory.

$ python manage.py collectstatic

If you look within it you'll see that staticfiles also has folders for admin (the built-in admin has its own static files) directories are in your static folder.

As a brief recap:

• STATIC_URL is the URL location of static files located in STATIC_ROOT
• STATICFILES_DIRS tells Django where to look for static files in a Django project, such as a top-level static folder
• STATIC_ROOT is the folder location of static files when collectstatic is run

Production

Even though we've configured our Django project to collect static files properly, there's one more step involved which is not included in the official Django docs. That is the configuration of WhiteNoise to serve the static files in production. The first step is to install the latest version of the package:

$ python -m pip install whitenoise

Then in the django_project/settings.py file make one changes:

• under MIDDLEWARE, add a new WhiteNoiseMiddleware on the third line

It should look like the following:

That's it! Run python manage.py collectstatic again so that the files are stored using WhiteNoise. And then deploy with confidence to the hosting platform of your choice.

In order to complete this guide, you should have a fresh Ubuntu 20.04 server instance with a basic firewall and a non-root user with sudo privileges configured. You can learn how to set this up by running through our initial server setup guide. We will be installing Django within a virtual environment. Installing Django into an environment specific to your project will allow your projects and their requirements to be handled separately. Once we have our database and application up and running, we will install and configure the Gunicorn application server. This will serve as an interface to our application, translating client requests from HTTP to Python calls that our application can process. We will then set up Nginx in front of Gunicorn to take advantage of its high performance connection handling mechanisms and its easy-to-implement security features. Let’s get started

To begin the process, we’ll download and install all of the items we need from the Ubuntu repositories. We will use the Python package manager pip to install additional components a bit later. We need to update the local apt package index and then download and install the packages. The packages we install depend on which version of Python your project will use. If you are using Django with Python 3, type:

$ sudo apt update

$ sudo apt install python3-pip python3-dev libpq-dev nginx curl

Creating a Python Virtual Environment for your Project

we can begin getting the rest of our project requirements ready. We will be installing our Python requirements within a virtual environment for easier management. To do this, we first need access to the virtualenv command. We can install this with pip. If you are using Python 3, upgrade pip and install the package by typing:

$ sudo -H pip3 install --upgrade pip

$ sudo -H pip3 install virtualenv

With virtualenv installed, we can start forming our project. Create and move into a directory where we can keep our project files:

$ mkdir ~/myprojectdir

$ cd ~/myprojectdir

Within the project directory, create a Python virtual environment by typing:

$ virtualenv myprojectenv

This will create a directory called myprojectenv within your myprojectdir directory. Inside, it will install a local version of Python and a local version of pip. We can use this to install and configure an isolated Python environment for our project. Before we install our project’s Python requirements, we need to
activate the virtual environment. You can do that by typing:

$ source myprojectenv/bin/activate

Your prompt should change to indicate that you are now operating within a Python virtual environment. It will look something like this:
(myprojectenv)[email protected]:~/myprojectdir$.

With your virtual environment active, install project requriments with the local instance of pip:

Adjusting the Project Settings

Open the settings file in your text editor:

$ nano ~/myprojectdir/myproject/settings.py

Start by locating the ALLOWED_HOSTS directive. This defines a list of the server’s addresses or domain names may be used to connect to the Django instance. Any incoming requests with a Host header that is not in this list will raise an exception. Django requires that you set this to prevent a certain class of security vulnerability.

# The simplest case: just add the domain name(s) and IP addresses of your Django server

# ALLOWED_HOSTS = [ 'example.com', '203.0.113.5']

# To respond to 'example.com' and any subdomains, start the domain with a dot

# ALLOWED_HOSTS = ['.example.com', '203.0.113.5']

ALLOWED_HOSTS = ['your_server_domain_or_IP', 'second_domain_or_IP', . . ., 'localhost']

Save and close the file when you are finished.

Completing Initial Project Setup

Now, we can migrate the initial database schema to our Sqlite database using the management script:

$ python ~/myprojectdir/manage.py makemigrations

$ python ~/myprojectdir/manage.py migrate

Create an administrative user for the project by typing:

$ python ~/myprojectdir/manage.py createsuperuser

You will have to select a username, provide an email address, and choose and confirm a password.

We can collect all of the static content into the directory location we configured by typing:

$ python ~/myprojectdir/manage.py collectstatic

You will have to confirm the operation. The static files will then be placed in a directory called static within your project directory.

If you followed the initial server setup guide, you should have a UFW firewall protecting your server. In order to test the development server, we’ll have to allow access to the port we’ll be using.

Create an exception for port 8000 by typing:

$ sudo ufw allow 8000

Finally, you can test our your project by starting up the Django development server with this command:

$ python ~/myprojectdir/manage.py runserver 0.0.0.0:8000

In your web browser, visit your server’s domain name or IP address followed by :8000:

http://server_domain_or_IP:8000

When you are finished testing, hit CTRL-C in the terminal window to stop Gunicorn.

We’re now finished configuring our Django application. We can back out of our virtual environment by typing:

The virtual environment indicator in your prompt will be removed.

Creating systemd Socket and Service Files for Gunicorn

We have tested that Gunicorn can interact with our Django application, but we should implement a more robust way of starting and stopping the application server. To accomplish this, we’ll make systemd service and socket files. The Gunicorn socket will be created at boot and will listen for connections. When a connection occurs, systemd will automatically start the Gunicorn process to handle the connection. Start by creating and opening a systemd socket file for Gunicorn with sudo privileges:

$ sudo nano /etc/systemd/system/gunicorn.socket

Inside, we will create a [Unit] section to describe the socket, a [Socket] section to define the socket location, and an [Install] section to make sure the socket is created at the right time:

[Unit]
Description=gunicorn socket
[Socket]
ListenStream=/run/gunicorn.sock
[Install]
WantedBy=sockets.target

Save and close the file when you are finished.

Next, create and open a systemd service file for Gunicorn with sudo privileges in your text editor. The service filename should match the socket filename with the exception of the extension:

$ sudo nano /etc/systemd/system/gunicorn.service

Start with the [Unit] section, which is used to specify metadata and dependencies. We’ll put a description of our service here and tell the init system to only start this after the networking target has been reached. Because our service relies on the socket from the socket file, we need to include a Requires directive to indicate that relationship:

					
[Unit]
Description=gunicorn daemon
Requires=gunicorn.socket
After=network.target

Next, we’ll open up the [Service] section. We’ll specify the user and group that we want to process to run under. We will give our regular user account ownership of the process since it owns all of the relevant files. We’ll give group ownership to the www-data group so that Nginx can communicate easily with Gunicorn. We’ll then map out the working directory and specify the command to use to start the service. In this case, we’ll have to specify the full path to the Gunicorn executable, which is installed within our virtual environment. We will bind the process to the Unix socket we created within the /run directory so that the process can communicate with Nginx. We log all data to standard output so that the journald process can collect the Gunicorn logs. We can also specify any optional Gunicorn tweaks here. For example, we specified 3 worker processes in this case:

				
[Unit]
Description=gunicorn daemon
Requires=gunicorn.socket
After=network.target

[Service]
User=sammy
Group=www-data
WorkingDirectory=/home/sammy/myprojectdir
ExecStart=/home/sammy/myprojectdir/myprojectenv/bin/gunicorn \
--access-logfile - \
--workers 3 \
--bind unix:/run/gunicorn.sock \
myproject.wsgi:application

[Install]
WantedBy=multi-user.target

With that, our systemd service file is complete. Save and close it now.

We can now start and enable the Gunicorn socket. This will create the socket file at /run/gunicorn.sock now and at boot. When a connection is made to that socket, systemd will automatically start the gunicorn.service to handle it:

$ sudo systemctl start gunicorn.socket

$ sudo systemctl enable gunicorn.socket

We can confirm that the operation was successful by checking for the socket file.

Checking for the Gunicorn Socket File

Check the status of the process to find out whether it was able to start:

$ sudo systemctl status gunicorn.socket

You should receive an output like this:

					
Output
● gunicorn.socket - gunicorn socket
Loaded: loaded (/etc/systemd/system/gunicorn.socket; enabled; vendor prese>
Active: active (listening) since Fri 2020-06-26 17:53:10 UTC; 14s ago
Triggers: ● gunicorn.service
Listen: /run/gunicorn.sock (Stream)
Tasks: 0 (limit: 1137)
Memory: 0B
CGroup: /system.slice/gunicorn.socket

Next, check for the existence of the gunicorn.sock file within the /run directory:

file /run/gunicorn.sock

				Output
						/run/gunicorn.sock: socket
						

If the systemctl status command indicated that an error occurred or if you do not find the gunicorn.sock file in the directory, it’s an indication that the Gunicorn socket was not able to be created correctly. Check the Gunicorn socket’s logs by typing:

Take another look at your /etc/systemd/system/gunicorn.socket file to fix any problems before continuing.

Testing Socket Activation

Currently, if you’ve only started the gunicorn.socket unit, the gunicorn.service will not be active yet since the socket has not yet received any connections. You can check this by typing:

$ sudo systemctl status gunicorn

				Output
						● gunicorn.service - gunicorn daemon
						Loaded: loaded (/etc/systemd/system/gunicorn.service; disabled; vendor preset: enabled)
						Active: inactive (dead)
						

To test the socket activation mechanism, we can send a connection to the socket through curl by typing:

$ curl --unix-socket /run/gunicorn.sock localhost

You should receive the HTML output from your application in the terminal. This indicates that Gunicorn was started and was able to serve your Django application. You can verify that the Gunicorn service is running by typing:

$ sudo systemctl status gunicorn

			Output


					● gunicorn.service - gunicorn daemon
					Loaded: loaded (/etc/systemd/system/gunicorn.service; disabled; vendor preset: enabled)
					Active: active (running) since Fri 2020-06-26 18:52:21 UTC; 2s ago
					TriggeredBy: ● gunicorn.socket
					Main PID: 22914 (gunicorn)
					Tasks: 4 (limit: 1137)
					Memory: 89.1M
					CGroup: /system.slice/gunicorn.service
					├─22914 /home/sammy/myprojectdir/myprojectenv/bin/python /home/sammy/myprojectdir/myprojectenv/bin/gunicorn --access-logfile - --workers 3 --bind unix:/run/gunico>
					├─22927 /home/sammy/myprojectdir/myprojectenv/bin/python /home/sammy/myprojectdir/myprojectenv/bin/gunicorn --access-logfile - --workers 3 --bind unix:/run/gunico>
					├─22928 /home/sammy/myprojectdir/myprojectenv/bin/python /home/sammy/myprojectdir/myprojectenv/bin/gunicorn --access-logfile - --workers 3 --bind unix:/run/gunico>
					└─22929 /home/sammy/myprojectdir/myprojectenv/bin/python /home/sammy/myprojectdir/myprojectenv/bin/gunicorn --access-logfile - --workers 3 --bind unix:/run/gunico>

					Jun 26 18:52:21 django-tutorial systemd[1]: Started gunicorn daemon.
					Jun 26 18:52:21 django-tutorial gunicorn[22914]: [2020-06-26 18:52:21 +0000] [22914] [INFO] Starting gunicorn 20.0.4
					Jun 26 18:52:21 django-tutorial gunicorn[22914]: [2020-06-26 18:52:21 +0000] [22914] [INFO] Listening at: unix:/run/gunicorn.sock (22914)
					Jun 26 18:52:21 django-tutorial gunicorn[22914]: [2020-06-26 18:52:21 +0000] [22914] [INFO] Using worker: sync
					Jun 26 18:52:21 django-tutorial gunicorn[22927]: [2020-06-26 18:52:21 +0000] [22927] [INFO] Booting worker with pid: 22927
					Jun 26 18:52:21 django-tutorial gunicorn[22928]: [2020-06-26 18:52:21 +0000] [22928] [INFO] Booting worker with pid: 22928
					Jun 26 18:52:21 django-tutorial gunicorn[22929]: [2020-06-26 18:52:21 +0000] [22929] [INFO] Booting worker with pid: 22929



					

If the output from curl or the output of systemctl status indicates that a problem occurred, check the logs for additional details:

sudo journalctl -u gunicorn

Check your /etc/systemd/system/gunicorn.service file for problems. If you make changes to the /etc/systemd/system/gunicorn.service file, reload the daemon to reread the service definition and restart the Gunicorn process by typing:

$ sudo systemctl daemon-reload

$ sudo systemctl restart gunicorn

Make sure you troubleshoot the above issues before continuing.

Configure Nginx to Proxy Pass to Gunicorn

Now that Gunicorn is set up, we need to configure Nginx to pass traffic to the process.

Start by creating and opening a new server block in Nginx’s sites-available directory:

$ sudo nano /etc/nginx/sites-available/myproject

Inside, open up a new server block. We will start by specifying that this block should listen on the normal port 80 and that it should respond to our server’s domain name or IP address:

			server {
					listen 80;
					server_name server_domain_or_IP;
					}
					

Finally, we’ll create a location / {} block to match all other requests. Inside of this location, we’ll include the standard proxy_params file included with the Nginx installation and then we will pass the traffic directly to the Gunicorn socket:

		server {
				listen 80;
				server_name server_domain_or_IP;

				location = /favicon.ico { access_log off; log_not_found off; }

				location / {
				include proxy_params;
				proxy_pass http://unix:/run/gunicorn.sock;
				}
				}


				

Save and close the file when you are finished. Now, we can enable the file by linking it to the sites-enabled directory:

$ sudo ln -s /etc/nginx/sites-available/myproject /etc/nginx/sites-enabled

Test your Nginx configuration for syntax errors by typing:

sudo nginx -t

If no errors are reported, go ahead and restart Nginx by typing:

$ sudo systemctl restart nginx

Finally, we need to open up our firewall to normal traffic on port 80. Since we no longer need access to the development server, we can remove the rule to open port 8000 as well:

$ sudo ufw delete allow 8000

$ sudo ufw allow 'Nginx Full'

You should now be able to go to your server’s domain or IP address to view your application

Troubleshooting Nginx and Gunicorn

The primary place to look for more information is in Nginx’s error logs. Generally, this will tell you what conditions caused problems during the proxying event. Follow the Nginx error logs by typing:

$ sudo tail -F /var/log/nginx/error.log

As you update your configuration or application, you will likely need to restart the processes to adjust to your changes.

If you update your Django application, you can restart the Gunicorn process to pick up the changes by typing:

$ sudo systemctl restart gunicorn

If you change Gunicorn socket or service files, reload the daemon and restart the process by typing:

$ sudo systemctl daemon-reload

$ sudo systemctl restart gunicorn.socket gunicorn.service

If you change the Nginx server block configuration, test the configuration and then Nginx by typing:

$ sudo nginx -t && sudo systemctl restart nginx

These commands are helpful for picking up changes as you adjust your configuration.

Integrate Industry In Your Existing Project

1) Copy App and paste in your current project directory.

2) Copy App static content and paste in your current Project static directory.

3) Go to settings.py in your project and add 'app_name'.

4) Go to the templates/ directory and copy the template/app_name folder and error pages, paste in your project templates/ directory.

5) Copy the dz.py and custom_context_processor.pyfiles, and paste it on you project folder.

6) Go to settings.py and add the custom_context_processor. in templates settings

Check the Folder Directories Structure ←

7) Go to urls.py in your core project directory and add this line.

8) Use app url like this:

<body id="bg" class="boxed">

<body id="bg" class="frame">

<div class="main-bar-wraper navbar-expand-lg sticky-header is-fixed">

<div class="main-bar-wraper navbar-expand-lg sticky-no">

<body id="bg" class="frame" style="background-color: rgb(255, 175, 41);">

<body id="bg" class="frame" style="background-image: url("images/background/bg1.jpg");">

Color Theme

So many color option available

<link rel="stylesheet" class="skin" href="css/skin/skin-1.css">

• Color 1
• Color 2
• Color 3
• Color 4
• Color 5
• Color 6
• Color 7
• Color 8
• Color 9
• Color 10