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Switch autocomplete to match individual words in the tag, instead of only matching the start of the tag. For example, "hair" matches any tag containing the word "hair", not just tags starting with "hair". "long_hair" matches all tags containing the words "long" and "hair", which includes "very_long_hair" and "absurdly_long_hair". Words can be in any order and words can be left out. So "closed_eye" matches "one_eye_closed". "asuka_langley_souryuu" matches "souryuu_asuka_langley". This has several advantages: * You can search characters by first name. For example, "miku" matches "hatsune_miku". "zelda" matches both "princess_zelda" and "the_legend_of_zelda". * You can find the right tag even if you get the word order wrong, or forget a word. For example, "eyes_closed" matches "closed_eyes". "hair_over_eye" matches "hair_over_one_eye". * You can find more related tags. For example, searching "skirt" shows all tags containing the word "skirt", not just tags starting with "skirt". The downside is this may break muscle memory by changing the autocomplete order of some tags. This is an acceptable trade-off. You can get the old behavior by writing a "*" at the end of the tag. For example, searching "skirt*" gives the same results as before.
Quickstart
Run this to start a basic Danbooru instance:
curl -sSL https://raw.githubusercontent.com/danbooru/danbooru/master/bin/danbooru | sh
This will install Docker Compose and use it to start Danbooru. When it's done, Danbooru will be running at http://localhost:3000.
Alternatively, if you already have Docker Compose installed, you can just do:
wget https://raw.githubusercontent.com/danbooru/danbooru/master/docker-compose.yaml
docker-compose up
Manual Installation
Follow the INSTALL.debian script to install Danbooru.
The INSTALL.debian script is written for Debian, but can be adapted for other distributions. Danbooru has been successfully installed on Debian, Ubuntu, Fedora, Arch, and OS X. It is recommended that you use an Ubuntu-based system since Ubuntu is what is used in development and production.
See here for a guide on how set up Danbooru inside a virtual machine.
For best performance, you will need at least 256MB of RAM for PostgreSQL and Rails. The memory requirement will grow as your database gets bigger.
In production, Danbooru uses PostgreSQL 10.18, but any release later than this should work.
Troubleshooting
If your setup is not working, here are the steps I usually recommend to people:
-
Test the database. Make sure you can connect to it using
psql. Make sure the tables exist. If this fails, you need to work on correctly installing PostgreSQL, importing the initial schema, and running the migrations. -
Test the Rails database connection by using
bin/rails console. RunPost.countto make sure Rails can connect to the database. If this fails, you need to make sure your Danbooru configuration files are correct. -
Test Nginx to make sure it's working correctly. You may need to debug your Nginx configuration file.
-
Check all log files.
Services
Danboou depends on a couple of cloud services and several microservices to implement certain features.
Amazon Web Services
The following features require an Amazon AWS account:
- Pool history
- Post history
Google APIs
The following features require a Google Cloud account:
- BigQuery database export
IQDB Service
IQDB integration is delegated to the IQDB service.
Archive Service
In order to access pool and post histories you will need to install and configure the Archives service.
Reportbooru Service
The following features are delegated to the Reportbooru service:
- Post views
- Missed searches report
- Popular searches report
Recommender Service
Post recommendations require the Recommender service.