Raspberry Pi's single-board machines have set the mark for cheap, real-world computing. With its model 4, the Raspberry Pi can host web applications with a production-grade web server, a transactional database system, and dynamic content through scripting. This article explains the installation and configuration details with a full code example. Welcome to web applications hosted on a very lightweight computer.
The snowfall application
Imagine a downhill ski area large enough to have microclimates, which can mean dramatically different snowfalls across the area. The area is divided into regions, each of which has devices that record snowfall in centimeters; the recorded information then guides decisions on snowmaking, grooming, and other maintenance operations. The devices communicate, say, every 20 minutes with a server that updates a database that supports reports. Nowadays, the server-side software for such an application can be free and production-grade.
This snowfall application uses the following technologies:
- A Raspberry Pi 4 running Debian
- Nginx web server: The free version hosts over 400 million websites. This web server is easy to install, configure, and use.
- SQLite relational database system, which is file-based: A database, which can hold many tables, is a file on the local system. SQLite is lightweight but also ACID-compliant; it is suited for low to moderate volume. SQLite is likely the most widely used database system in the world, and the source code for SQLite is in the public domain. The current version is 3. A more powerful (but still free) option is PostgreSQL.
- Python: The Python programming language can interact with databases such as SQLite and web servers such as Nginx. Python (version 3) comes with Linux and macOS systems.
Python includes a software driver for communicating with SQLite. There are options for connecting Python scripts with Nginx and other web servers. One option is uWSGI (Web Server Gateway Interface), which updates the ancient CGI (Common Gateway Interface) from the 1990s.
Several factors speak for uWSGI:
- uWSGI is flexible. It can be used as either a lightweight concurrent web server or the backend application server connected to a web server such as Nginx.
- Its setup is minimal.
- The snowfall application involves a low to moderate volume of hits on the web server and database system. In general, CGI technologies are not fast by modern standards, but CGI performs well enough for department-level web applications such as this one.
Various acronyms describe the uWSGI option. Here's a sketch of the three principal ones:
- WSGI is a Python specification for an interface between a web server on one side, and an application or an application framework (e.g., Django) on the other side. This specification defines an API whose implementation is left open.
- uWSGI implements the WSGI interface by providing an application server, which connects applications to a web server. A uWSGI application server's main job is to translate HTTP requests into a format that a web application can consume and, afterward, to format the application's response into an HTTP message.
- uwsgi is a binary protocol implemented by a uWSGI application server to communicate with a full-featured web server such as Nginx; it also includes utilities such as a lightweight web server. The Nginx web server "speaks" uwsgi out of the box.
For convenience, I will use "uwsgi" as shorthand for the binary protocol, the application server, and the very lightweight web server.
Setting up the database
On a Debian-based system, you can install SQLite the usual way (with %
representing the command-line prompt):
% sudo apt-get install sqlite3
This database system is a collection of C libraries and utilities, all of which come to about 500KB in size. There is no database server to start, stop, or otherwise maintain.
Once SQLite is installed, create a database at the command-line prompt:
% sqlite3 snowfall.db
If this succeeds, the command creates the file snowfall.db
in the current working directory. The database name is arbitrary (e.g., no extension is required), and the command opens the SQLite client utility with >sqlite
as the prompt:
Enter ".help" for usage hints.
sqlite>
Create the snowfall table in the snowfall database with the following command. The table name, like the database name, is arbitrary:
sqlite> CREATE TABLE snowfall (id INTEGER PRIMARY KEY AUTOINCREMENT,
region TEXT NOT NULL,
device TEXT NOT NULL,
amount DECIMAL NOT NULL,
tstamp DECIMAL NOT NULL);
SQLite commands are case-insensitive, but it is traditional to use uppercase for SQL terms and lowercase for user terms. Check that the table was created:
sqlite> .schema
The command echoes the CREATE TABLE
statement.
The database is now ready for business, although the single-table snowfall is empty. You can add rows interactively to the table, but an empty table is fine for now.
A first look at the overall architecture
Recall that uwsgi can be used in two ways: either as a lightweight web server or as an application server connected to a production-grade web server such as Nginx. The second use is the goal, but the first is suited for developing and testing the programmer's request-handling code. Here's the architecture with Nginx in play as the web server:
HTTP uwsgi
client<---->Nginx<----->appServer<--->request-handling code<--->SQLite
The client could be a browser, a utility such as curl, or a hand-crafted program fluent in HTTP. Communications between the client and Nginx occur through HTTP, but then uwsgi takes over as a binary-transport protocol between Nginx and the application server, which interacts with request-handling code such as requestHandler.py
(described below). This architecture delivers a clean division of labor. Nginx alone manages the client, and only the request-handling code interacts with the database. In turn, the application server separates the web server from the programmer-written code, which has a high-level API to read and write HTTP messages delivered over uwsgi.
I'll examine these architectural pieces and cover the steps for installing, configuring, and using uwsgi and Nginx in the next sections.
The snowfall application code
Below is the source code file requestHandler.py
for the snowfall application. (It's also available on my website.) Different functions within this code help clarify the software architecture that connects SQLite, Nginx, and uwsgi.
The request-handling program
import sqlite3
import cgi
PATH_2_DB = '/home/marty/wsgi/snowfall.db'
## Dispatches HTTP requests to the appropriate handler.
def application(env, start_line):
if env['REQUEST_METHOD'] == 'POST': ## add new DB record
return handle_post(env, start_line)
elif env['REQUEST_METHOD'] == 'GET': ## create HTML-fragment report
return handle_get(start_line)
else: ## no other option for now
start_line('405 METHOD NOT ALLOWED', [('Content-Type', 'text/plain')])
response_body = 'Only POST and GET verbs supported.'
return [response_body.encode()]
def handle_post(env, start_line):
form = get_field_storage(env) ## body of an HTTP POST request
## Extract fields from POST form.
region = form.getvalue('region')
device = form.getvalue('device')
amount = form.getvalue('amount')
tstamp = form.getvalue('tstamp')
## Missing info?
if (region is not None and
device is not None and
amount is not None and
tstamp is not None):
add_record(region, device, amount, tstamp)
response_body = "POST request handled.\n"
start_line('201 OK', [('Content-Type', 'text/plain')])
else:
response_body = "Missing info in POST request.\n"
start_line('400 Bad Request', [('Content-Type', 'text/plain')])
return [response_body.encode()]
def handle_get(start_line):
conn = sqlite3.connect(PATH_2_DB) ## connect to DB
cursor = conn.cursor() ## get a cursor
cursor.execute("select * from snowfall")
response_body = "<h3>Snowfall report</h3><ul>"
rows = cursor.fetchall()
for row in rows:
response_body += "<li>" + str(row[0]) + '|' ## primary key
response_body += row[1] + '|' ## region
response_body += row[2] + '|' ## device
response_body += str(row[3]) + '|' ## amount
response_body += str(row[4]) + "</li>" ## timestamp
response_body += "</ul>"
conn.commit() ## commit
conn.close() ## cleanup
start_line('200 OK', [('Content-Type', 'text/html')])
return [response_body.encode()]
## Add a record from a device to the DB.
def add_record(reg, dev, amt, tstamp):
conn = sqlite3.connect(PATH_2_DB) ## connect to DB
cursor = conn.cursor() ## get a cursor
sql = "INSERT INTO snowfall(region,device,amount,tstamp) values (?,?,?,?)"
cursor.execute(sql, (reg, dev, amt, tstamp)) ## execute INSERT
conn.commit() ## commit
conn.close() ## cleanup
def get_field_storage(env):
input = env['wsgi.input']
form = env.get('wsgi.post_form')
if (form is not None and form[0] is input):
return form[2]
fs = cgi.FieldStorage(fp = input,
environ = env,
keep_blank_values = 1)
return fs
A constant at the start of the source file defines the path to the database file:
PATH_2_DB = '/home/marty/wsgi/snowfall.db'
Make sure to update the path for your Raspberry Pi.
As noted earlier, uwsgi includes a lightweight web server that can host this request-handling application. To begin, install uwsgi with these two commands (##
introduces my comments):
% sudo apt-get install build-essential python-dev ## C header files, etc.
% pip install uwsgi ## pip = Python package manager
Next, launch a bare-bones snowfall application using uwsgi as the web server:
% uwsgi --http 127.0.0.1:9999 --wsgi-file requestHandler.py
The flag --http
runs uwsgi in web-server mode, with 9999 as the web server's listening port on localhost (127.0.0.1). By default, uwsgi dispatches HTTP requests to a programmer-defined function named application
. For review, here's the full function from the top of the requestHandler.py
code:
def application(env, start_line):
if env['REQUEST_METHOD'] == 'POST': ## add new DB record
return handle_post(env, start_line)
elif env['REQUEST_METHOD'] == 'GET': ## create HTML-fragment report
return handle_get(start_line)
else: ## no other option for now
start_line('405 METHOD NOT ALLOWED', [('Content-Type', 'text/plain')])
response_body = 'Only POST and GET verbs supported.'
return [response_body.encode()]
The snowfall application accepts only two request types:
- A POST request, if up to snuff, creates a new entry in the snowfall table. The request should include the ski area region, the device in the region, the snowfall amount in centimeters, and a Unix-style timestamp. A POST request is dispatched to the
handle_post
function (which I'll clarify shortly). - A GET request returns an HTML fragment (an unordered list) with the records currently in the snowfall table.
Requests with an HTTP verb other than POST and GET will generate an error message.
You can use a utility such as curl to generate HTTP requests for testing. Here are three sample POST requests to start populating the database:
% curl -X POST -d "region=R1&device=D9&amount=1.42&tstamp=1604722088.0158753" localhost:9999/
% curl -X POST -d "region=R7&device=D4&amount=2.11&tstamp=1604722296.8862638" localhost:9999/
% curl -X POST -d "region=R5&device=D1&amount=1.12&tstamp=1604942236.1013834" localhost:9999/
These commands add three records to the snowfall table. A subsequent GET request from curl or a browser displays an HTML fragment that lists the rows in the snowfall table. Here's the equivalent as non-HTML text:
Snowfall report
1|R1|D9|1.42|1604722088.0158753
2|R7|D4|2.11|1604722296.8862638
3|R5|D1|1.12|1604942236.1013834
A professional report would convert the numeric timestamps into human-readable ones. But the emphasis, for now, is on the architectural components in the snowfall application, not on the user interface.
The uwsgi utility accepts various flags, which can be given either through a configuration file or in the launch command. For example, here's a richer launch of uwsgi as a web server:
% uwsgi --master --processes 2 --http 127.0.0.1:9999 --wsgi-file requestHandler.py
This version creates a master (supervisory) process and two worker processes, which can handle the HTTP requests concurrently.
In the snowfall application, the functions handle_post
and handle_get
process POST and GET requests, respectively. Here's the handle_post
function in full:
def handle_post(env, start_line):
form = get_field_storage(env) ## body of an HTTP POST request
## Extract fields from POST form.
region = form.getvalue('region')
device = form.getvalue('device')
amount = form.getvalue('amount')
tstamp = form.getvalue('tstamp')
## Missing info?
if (region is not None and
device is not None and
amount is not None and
tstamp is not None):
add_record(region, device, amount, tstamp)
response_body = "POST request handled.\n"
start_line('201 OK', [('Content-Type', 'text/plain')])
else:
response_body = "Missing info in POST request.\n"
start_line('400 Bad Request', [('Content-Type', 'text/plain')])
return [response_body.encode()]
The two arguments to the handle_post
function (env
and start_line
) represent the system environment and a communications channel, respectively. The start_line
channel sends the HTTP start line (in this case, either 400 Bad Request
or 201 OK
) and any HTTP headers (in this case, just Content-Type: text/plain
) of an HTTP response.
The handle_post
function tries to extract the relevant data from the HTTP POST request and, if it's successful, calls the function add_record
to add another row to the snowfall table:
def add_record(reg, dev, amt, tstamp):
conn = sqlite3.connect(PATH_2_DB) ## connect to DB
cursor = conn.cursor() ## get a cursor
sql = "INSERT INTO snowfall(region,device,amount,tstamp) VALUES (?,?,?,?)"
cursor.execute(sql, (reg, dev, amt, tstamp)) ## execute INSERT
conn.commit() ## commit
conn.close() ## cleanup
SQLite automatically wraps single SQL statements (such as INSERT
above) in a transaction, which accounts for the call to conn.commit()
in the code. SQLite also supports multi-statement transactions. After calling add_record
, the handle_post
function winds up its work by sending an HTTP response confirmation message to the requester.
The handle_get
function also touches the database, but only to read the records in the snowfall table:
def handle_get(start_line):
conn = sqlite3.connect(PATH_2_DB) ## connect to DB
cursor = conn.cursor() ## get a cursor
cursor.execute("SELECT * FROM snowfall")
response_body = "<h3>Snowfall report</h3><ul>"
rows = cursor.fetchall()
for row in rows:
response_body += "<li>" + str(row[0]) + '|' ## primary key
response_body += row[1] + '|' ## region
response_body += row[2] + '|' ## device
response_body += str(row[3]) + '|' ## amount
response_body += str(row[4]) + "</li>" ## timestamp
response_body += "</ul>"
conn.commit() ## commit
conn.close() ## cleanup
start_line('200 OK', [('Content-Type', 'text/html')])
return [response_body.encode()]
A user-friendly version of the snowfall application would support additional (and fancier) reports, but even this version of handle_get
underscores the clean interface between Python and SQLite. By the way, uwsgi expects a response body to be a list of bytes. In the return
statement, the call to response_body.encode()
inside the square brackets generates the byte list from the response_body
string.
Moving up to Nginx
The Nginx web server can be installed on a Debian-based system with one command:
% sudo apt-get install nginx
As a web server, Nginx provides the expected services, such as wire-level security, HTTPS, user authentication, load balancing, media streaming, response compression, file uploading, etc. The Nginx engine is high-performance and stable, and this server can support dynamic content through a variety of programming languages. Using uwsgi as a very lightweight web server is an attractive option but switching to Nginx is a move up to industrial-strength web hosting with high-volume capability. Nginx and uwsgi are both implemented in C.
With Nginx in play, uwsgi takes on a communication protocol's restricted roles and an application server; it no longer acts as an HTTP web server. Here's the revised architecture:
HTTP uwsgi
requester<---->Nginx<----->app server<--->requestHandler.py
As noted earlier, Nginx includes uwsgi support and now acts as a reverse-proxy server that forwards designated HTTP requests to the uwsgi application server, which in turn interacts with the Python script requestHandler.py
. Responses from the Python script move in the reverse direction so that Nginx sends the HTTP response back to the requesting client.
Two changes bring this new architecture to life. The first launches uwsgi as an application server:
% uwsgi --socket 127.0.0.1:8001 --wsgi-file requestHandler.py
Socket 8001 is the Nginx default for uwsgi communications. For robustness, you could use the full path to the Python script so that the command above does not have to be executed in the directory that houses the Python script. In a production environment, uwsgi would start and stop automatically; for now, however, the emphasis remains on how the architectural pieces fit together.
The second change involves Nginx configuration, which can be tricky on Debian-based systems. The main configuration file for Nginx is /etc/nginx/nginx.conf
, but this file may have include
directives for other files, in particular, files in one of three /etc/nginx
subdirectories: nginx.d
, sites-available
, and sites-enabled
. The include
directives can be eliminated to simplify matters; in this case, the configuration occurs only in nginx.conf
. I recommend the simple approach.
However the configuration is distributed, the key section for having Nginx talk to the uwsgi application server begins with http
and has one or more server
subsections, which in turn have location
subsections. Here's an example from the Nginx documentation:
...
http {
# Configuration specific to HTTP and affecting all virtual servers
...
server { # simple reverse-proxy
listen 80;
server_name domain2.com www.domain2.com;
access_log logs/domain2.access.log main;
# serve static files
location ~ ^/(images|javascript|js|css|flash|media|static)/ {
root /var/www/virtual/big.server.com/htdocs;
expires 30d;
}
# pass requests for dynamic content to rails/turbogears/zope, et al
location / {
proxy_pass http://127.0.0.1:8080;
}
}
...
}
The location
subsections are the ones of interest. For the snowfall application, here's the added location
entry with its two configuration lines:
...
server {
listen 80 default_server;
listen [::]:80 default_server;
root /var/www/html;
index index.html index.htm index.nginx-debian.html;
server_name _;
### key addition for uwsgi communication
location /snowfall {
include uwsgi_params; ## comes with Nginx
uwsgi_pass 127.0.0.1:8001; ## 8001 is the default for uwsgi
}
...
}
...
To keep things simple for now, make /snowfall
the only location
in the configuration. With this configuration in place, Nginx listens on port 80 and dispatches HTTP requests ending with the /snowfall
path to the uwsgi application server:
% curl -X POST -d "..." localhost/snowfall ## new POST
% curl -X GET localhost/snowfall ## new GET
The port number 80 can be dropped from the request because 80 is the default server port for HTTP requests.
If the configured location were simply /
instead of /snowfall
, then any HTTP request with /
at the start of the path would be dispatched to the uwsgi application server. Accordingly, the /snowfall
path leaves room for other locations and, therefore, for further actions in response to HTTP requests.
Once you've changed the Nginx configuration with the added location
subsection, you can start the web server:
% sudo systemctl start nginx
There are other commands similar to stop
and restart
Nginx. In a production environment, you could automate these actions so that Nginx starts on a system boot and stops on a system shutdown.
With uwsgi and Nginx both running, you can use a browser to test whether the architectural components cooperate as expected. For example, if you enter the URL localhost/
in the browser's input window, then the Nginx welcome page should appear with (HTML) content similar to this:
Welcome to nginx!
...
Thank you for using nginx.
By contrast, the URL localhost/snowfall
should display the rows currently in the snowfall table:
Snowfall report
1|R1|D9|1.42|1604722088.0158753
2|R7|D4|2.11|1604722296.8862638
3|R5|D1|1.12|1604942236.1013834
Wrapping up
The snowfall application shows how free software components—a high-powered web server, an ACID-compliant database system, and scripting for dynamic content—can support a realistic web application on a Raspberry Pi 4 platform. This lightweight machine lifts above its weight class, and Debian eases the lifting.
The software components in the web application work well together and require very little configuration. For higher volume hits against a relational database, recall that a free and feature-rich alternative to SQLite is PostgreSQL. If you're eager to play on the Raspberry Pi 4—in particular, to explore server-side web programming on this platform—then Nginx, SQLite or PostgreSQL, uwsgi, and Python are worth considering.
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