L@pp
L@pp is a small, mobile-friendly shared-list application built with Flask. It is designed primarily for grocery lists, but works just as well for chores, packing lists, or any other lightweight checklist.
Users can create and share lists, add items with quantities and categories, and check items off from a phone-friendly interface. The included web app can also be installed as a Progressive Web App (PWA).
Features
- Multiple lists per user
- List sharing between registered users
- Item quantities and units, including input such as
Milk 2 cartons - Grocery categories with icons
- Reusable suggestions for previously completed items
- Bulk item entry
- Responsive, installable PWA interface
- User registration with group invitation keys
- Administrator approval for new accounts
- Session-based JSON API for companion clients
- SQLite by default, with other SQLAlchemy database URLs supported
Requirements
- Python 3.9 or newer
pipand Python virtual-environment support
Quick start
Clone the repository and enter its directory:
git clone <repository-url>
cd lapp
Create a virtual environment and install the dependencies:
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -r requirement.txt
Initialize the database with an administrator, a regular user, two groups, and some example lists:
python initialize_data.py
The command creates instance/secrets.yaml and instance/app.db. It does not
print the generated passwords or registration keys; open
instance/secrets.yaml locally to retrieve them. The seeded usernames are
admin and ignace.
Start the development server:
python lapp.py
Then open http://127.0.0.1:5001. The built-in server runs in debug mode and is intended for local development only.
Running the application without initialize_data.py creates an empty database
schema, but no users or registration groups.
Configuration and secrets
Private configuration lives in instance/secrets.yaml. On first use, missing
values are generated automatically and the file is restricted to mode 0600.
A generated file has this structure:
runtime:
secret_key: <Flask session secret>
application_key: <key used by /api/validate_key>
database_uri: sqlite:///app.db
initial_data:
admin_password: <initial admin password>
admin_group: <initial admin registration key>
user_password: <initial user password>
user_group: <initial user registration key>
fernet:
key: <Fernet key used by test.py>
For SQLite, relative database paths are resolved inside Flask's instance/
directory. To use another database, set runtime.database_uri to a compatible
SQLAlchemy URL and install the corresponding database driver.
Keep runtime.secret_key stable. Replacing it invalidates active sessions and
the seven-day auto-login cookie. The runtime.application_key is checked by
POST /api/validate_key.
The complete instance/ directory is ignored by Git. Back it up securely and
never commit or share its contents. In particular, back up both app.db and
secrets.yaml together when using the default SQLite setup.
Customizing the initial accounts
To choose credentials instead of using generated values:
-
Generate the configuration and empty schema without seeding accounts:
python -c 'from lapp import create_app; create_app()' -
Edit the values under
initial_dataininstance/secrets.yaml. -
Run
python initialize_data.py.
Initialization is deliberately idempotent: if the database already contains a user, no seed data is added. It also refuses to initialize a partially populated database.
How accounts and sharing work
Registration requires a group key. The two keys created during initialization
are stored as initial_data.admin_group and initial_data.user_group. A newly
registered account remains pending until an administrator approves it at
/admin/.
After signing in, a user can create, activate, rename, share, or delete their own lists. A shared list is visible and editable by every selected user. Only the owner can change the list itself or its sharing settings.
Administrators can create additional registration groups from /groups.
Item input
L@pp extracts simple quantities and units from item text. For example:
| Input | Label | Quantity | Unit |
|---|---|---|---|
Apples 4 |
Apples | 4 | x |
Milk 2 cartons |
Milk | 2 | cartons |
3 kg potatoes |
Potatoes | 3 | kg |
Cleaning a list moves checked items into its suggestion history. Those items can then be added again quickly from the add-items screen.
API overview
API requests use form-encoded fields and return JSON. Authentication is stored in the Flask session cookie, so API clients must retain cookies after login.
| Method | Endpoint | Purpose |
|---|---|---|
POST |
/api/validate_key |
Validate the configured application key (key) |
POST |
/api/login |
Sign in with user and password |
POST |
/api/register |
Register with user and a group key in password |
POST |
/api/load_lists |
Load lists available to the signed-in user |
POST |
/api/load_items |
Load active items for listid |
Responses use a numeric status field: 1 means success, 0 means failure,
and registration uses 2 to indicate that approval is pending.
Example login with a cookie jar:
curl -c cookies.txt \
-X POST \
-d 'user=ignace' \
-d 'password=YOUR_PASSWORD' \
http://127.0.0.1:5001/api/login
curl -b cookies.txt \
-X POST \
http://127.0.0.1:5001/api/load_lists
Production deployment with Nginx and Gunicorn
The following example targets Debian or Ubuntu, installs L@pp in /srv/lapp,
and serves it from lists.example.com. Substitute your own installation path
and domain where necessary.
Gunicorn loads the existing Flask application factory as
lapp:create_app(). The repository's lapp.wsgi file is only needed for a
mod_wsgi deployment and is not used here.
1. Install the system packages
sudo apt update
sudo apt install nginx python3 python3-venv
Create a dedicated, unprivileged service account:
sudo useradd --system \
--home /srv/lapp \
--shell /usr/sbin/nologin \
lapp
Place or clone the repository at /srv/lapp, then install the application and
Gunicorn:
cd /srv/lapp
sudo python3 -m venv .venv
sudo .venv/bin/pip install --upgrade pip
sudo .venv/bin/pip install -r requirement.txt
sudo .venv/bin/pip install 'gunicorn>=23,<24'
Gunicorn should run as the service account, not as root, and should only be
reachable through Nginx.
2. Initialize the application
Create the private instance directory with permissions that allow the service account to maintain the SQLite database:
sudo install -d \
-o lapp \
-g www-data \
-m 0750 \
/srv/lapp/instance
sudo -u lapp /srv/lapp/.venv/bin/python \
/srv/lapp/initialize_data.py
View the generated passwords and registration keys locally:
sudo -u lapp sed -n '1,120p' \
/srv/lapp/instance/secrets.yaml
Back up instance/app.db and instance/secrets.yaml together. Do not expose
the instance/ directory through Nginx.
3. Run Gunicorn with systemd
Create /etc/systemd/system/lapp.service:
[Unit]
Description=L@pp service
After=network.target
[Service]
Type=simple
User=lapp
Group=www-data
WorkingDirectory=/srv/lapp
RuntimeDirectory=lapp
RuntimeDirectoryMode=0750
UMask=0007
ExecStart=/srv/lapp/.venv/bin/gunicorn \
--workers 2 \
--bind unix:/run/lapp/lapp.sock \
--access-logfile - \
--error-logfile - \
lapp:create_app()
Restart=on-failure
RestartSec=5
PrivateTmp=true
NoNewPrivileges=true
[Install]
WantedBy=multi-user.target
One or two workers is a sensible starting point for this small SQLite application. Adding many workers can increase SQLite write contention.
Enable and start the service:
sudo systemctl daemon-reload
sudo systemctl enable --now lapp
sudo systemctl status lapp
Follow its logs or verify that its socket exists:
sudo journalctl -u lapp -f
sudo ls -l /run/lapp/lapp.sock
4. Configure Nginx
Create /etc/nginx/sites-available/lapp:
server {
listen 80;
listen [::]:80;
server_name lapp.suy.nl;
client_max_body_size 2m;
location /static/ {
alias /srv/lapp/static/;
expires 7d;
add_header Cache-Control "public";
}
location / {
proxy_pass http://unix:/run/lapp/lapp.sock;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_read_timeout 60s;
}
}
Enable the site and validate the configuration before reloading Nginx:
sudo ln -s /etc/nginx/sites-available/lapp \
/etc/nginx/sites-enabled/lapp
sudo nginx -t
sudo systemctl reload nginx
The application should now be available at http://lists.example.com.
5. Enable HTTPS
Once the domain's DNS records point to the server, obtain a TLS certificate with your preferred ACME client. For example, using Certbot:
sudo apt install certbot python3-certbot-nginx
sudo certbot --nginx -d lists.example.com
Do not expose L@pp publicly over plain HTTP: it handles passwords and persistent login cookies.
Updating a deployment
Back up the database and secrets first. Then update the source and dependencies and restart Gunicorn:
cd /srv/lapp
sudo .venv/bin/pip install -r requirement.txt
sudo systemctl restart lapp
sudo systemctl status lapp
See the official Flask Gunicorn deployment guide, Gunicorn documentation, and Nginx proxy module documentation for additional configuration options.
Utility scripts
initialize_data.pysafely seeds a new database.show_db.pyprints all database records for local diagnostics. Its output includes password hashes and group secrets, so treat it as sensitive.update_db.pycontains historical, manual migration snippets. Review and adapt it before running it against any database.test.pyis a Fernet encryption example, not an automated test suite.
Project structure
lapp.py Application factory and blueprint registration
auth.py Login, registration, logout, and password changes
admin.py Account approval
groups.py Registration-group management
lists.py List creation, ownership, and sharing
items.py Item entry, categories, quantities, and completion
api.py Session-based JSON API
models.py SQLAlchemy models
templates/ Jinja templates
static/ CSS, JavaScript, icons, and PWA manifest
instance/ Local secrets and database (generated, ignored by Git)
Development notes
There is currently no automated test suite or migration framework. Before upgrading an existing installation, back up the database and secrets, then test the change on a copy of the data.