> Version 0.6 brings DashMachine one big step forward to being a finished product by adding a gui to edit the various settings in the config.ini. **Changelog** - improvements to /home including 'pinned' cards, multi-select tag filtering, 'action providers' allowing you to do web searches from the searchbar - rebuilt sidenav with list view, mirroring filter/search/collapse state of the homepage - /settings and /home now on same route - dynamic reloading of settings (no more page reloads) - dedicated config.ini editor slide-out - settings editor slide-out - card editor slide-out - better access group control - dedicated documentation pages - improved documentation - new system for automatically generating documentation for platforms - ability to load custom platforms - added an 'on_starup' method for platforms allowing for registering api routes. (example coming soon)
1.5 KiB
1.5 KiB
Installation
Default user/password
User: admin
Password: admin
Docker
docker create \
--name=dashmachine \
-p 5000:5000 \
-v path/to/data:/dashmachine/dashmachine/user_data \
--restart unless-stopped \
rmountjoy/dashmachine:latest
To run in a subfolder, use a CONTEXT_PATH environment variable. For example, to run at localhost:5000/dash:
docker create \
--name=dashmachine \
-p 5000:5000 \
-e CONTEXT_PATH=/dash
-v path/to/data:/dashmachine/dashmachine/user_data \
--restart unless-stopped \
rmountjoy/dashmachine:latest
Docker Compose
version: "2"
services:
dashmachine:
image: rmountjoy/dashmachine:latest
container_name: dashmachine
restart: unless-stopped
environment:
- CONTEXT_PATH: /dash #Optional, only if you want to run dashmachine in a subfolder
volumes:
- /path/to/data:/dashmachine/dashmachine/user_data
ports:
- 5000:5000 #You can change the port on the left (host) it's already in use, e.g. Synology NAS
Synology
Python
Instructions are for linux.
virtualenv --python=python3 DashMachineEnv
cd DashMachineEnv && source bin/activate
git clone https://github.com/rmountjoy92/DashMachine.git
cd DashMachine && pip install -r requirements.txt
python3 run.py
Then open a web browser and go to localhost:5000