base on A taggable image board written in Rails. [<img src="https://github.com/codespaces/badge.svg" height="20">](https://codespaces.new/danbooru/danbooru?quickstart=1) [![Discord](https://img.shields.io/discord/310432830138089472?label=Discord)](https://discord.gg/danbooru) [![codecov](https://codecov.io/gh/danbooru/danbooru/branch/master/graph/badge.svg)](https://codecov.io/gh/danbooru/danbooru) ## Quickstart ### Using Github Codespaces To launch a Danbooru instance in your browser: 1. [Create a Github account](https://github.com/signup). 2. Click [Open in Github Codespaces](https://codespaces.new/danbooru/danbooru?quickstart=1). 3. Click the `Create new codespace` button. 4. Wait a few minutes for it to launch. When it's done, you'll have a new Danbooru instance with a full development environment running in your browser. This way you can try out Danbooru without installing anything on your computer. See the [Codespaces section](https://github.com/danbooru/danbooru/wiki/Docker-Guide#user-content-running-in-github-codespaces) in the [Docker Guide](https://github.com/danbooru/danbooru/wiki/Docker-Guide) to learn more. ### Using Docker Run this to start a Danbooru instance: ```sh sh -c "$(curl -sSL https://raw.githubusercontent.com/danbooru/danbooru/master/bin/setup)" ``` This will install [Docker Compose](https://docs.docker.com/compose/) and start Danbooru. When it's done, Danbooru will be running at http://localhost:3000. Alternatively, if you already have Docker Compose installed, you can do: ```sh git clone http://github.com/danbooru/danbooru cd danbooru touch .env.local config/danbooru_local_config.rb sudo docker compose up ``` When you're done, you can run the following to delete everything: ```sh sudo docker compose down --volumes # Delete all data and images in your Danbooru instance. sudo docker image prune # Clean up all unused Docker images. rm -rf ~/danbooru # Delete the Danbooru code. ``` ## Installation See the [Docker Guide](https://github.com/danbooru/danbooru/wiki/Docker-Guide) for more information on running Danbooru using Docker. This is the recommended way to run Danbooru. Alternatively, you may use the [Manual Installation Guide](https://github.com/danbooru/danbooru/wiki/Manual-Installation-Guide) to install Danbooru without Docker. Manual installation is much more difficult than using Docker, and therefore is not recommended or officially supported. For help, ask in the [#technical](https://discord.com/channels/310432830138089472/310846683376517121) channel on the [Danbooru Discord](https://discord.gg/danbooru), or in the [discussions area](https://github.com/danbooru/danbooru/discussions) on Github. ## Services Danbooru depends on a couple of cloud services and several microservices to implement certain features. ### Amazon Web Services In the production environment, for historical reasons, Danbooru relies on Amazon AWS to send pool/post versions to a SQS queue, and on a separate archives service ([available here](https://github.com/danbooru/archives/)) to extract the versions from that queue and insert them into a database. The Docker Compose files in this repository come with a preconfigured archives service and an SQS mock using [ElasticMQ](https://github.com/softwaremill/elasticmq), so following the docker tutorial at the start of this file is sufficient to have post/pool versions working for a new instance. ### Google APIs The following features require a Google Cloud account: * BigQuery database export ### IQDB Service IQDB integration is delegated to the [IQDB service](https://github.com/danbooru/iqdb). ### Reportbooru Service The following features are delegated to the [Reportbooru service](https://github.com/danbooru/reportbooru): * Post views * Missed searches report * Popular searches report ### Recommender Service Post recommendations require the [Recommender service](https://github.com/danbooru/recommender). ", Assign "at most 3 tags" to the expected json: {"id":"2878","tags":[]} "only from the tags list I provide: [{"id":39,"name":"3d-generation","display_name":"3D generation","slug":"3d-generation"},{"id":3,"name":"ai-agent","display_name":"AI agent","slug":"ai-agent"},{"id":8,"name":"ai-coding","display_name":"AI coding assistant","slug":"ai-coding"},{"id":5,"name":"ai-image","display_name":"AI image generation","slug":"ai-image"},{"id":9,"name":"ai-infrastructure","display_name":"AI infrastructure","slug":"ai-infrastructure"},{"id":10,"name":"ai-memory","display_name":"AI memory","slug":"ai-memory"},{"id":11,"name":"ai-skills","display_name":"AI skills","slug":"ai-skills"},{"id":12,"name":"ai-translation","display_name":"AI translation","slug":"ai-translation"},{"id":6,"name":"ai-video","display_name":"AI video generation","slug":"ai-video"},{"id":4,"name":"ai-voice","display_name":"AI voice","slug":"ai-voice"},{"id":7,"name":"ai-workflow","display_name":"AI workflow","slug":"ai-workflow"},{"id":22,"name":"audio-processing","display_name":"Audio processing","slug":"audio-processing"},{"id":29,"name":"authentication","display_name":"Authentication","slug":"authentication"},{"id":51,"name":"bundler","display_name":"Bundler","slug":"bundler"},{"id":41,"name":"chatbot","display_name":"Chatbot","slug":"chatbot"},{"id":27,"name":"cloud-native","display_name":"Cloud native","slug":"cloud-native"},{"id":1,"name":"computer-vision","display_name":"Computer vision","slug":"computer-vision"},{"id":37,"name":"crypto-trading","display_name":"Crypto trading","slug":"crypto-trading"},{"id":57,"name":"curated-list","display_name":"Curated list","slug":"curated-list"},{"id":54,"name":"data-streaming","display_name":"Data streaming","slug":"data-streaming"},{"id":35,"name":"data-visualization","display_name":"Data visualization","slug":"data-visualization"},{"id":16,"name":"database-backup","display_name":"Database backup","slug":"database-backup"},{"id":49,"name":"design-system","display_name":"Design system","slug":"design-system"},{"id":38,"name":"digital-human","display_name":"Digital human","slug":"digital-human"},{"id":34,"name":"document-processing","display_name":"Document processing","slug":"document-processing"},{"id":44,"name":"ecommerce","display_name":"E-commerce","slug":"ecommerce"},{"id":45,"name":"emulator","display_name":"Emulator","slug":"emulator"},{"id":46,"name":"file-management","display_name":"File management","slug":"file-management"},{"id":32,"name":"fintech","display_name":"Fintech","slug":"fintech"},{"id":31,"name":"game-development","display_name":"Game development","slug":"game-development"},{"id":24,"name":"headless-browser","display_name":"Headless browser","slug":"headless-browser"},{"id":52,"name":"headless-cms","display_name":"Headless CMS","slug":"headless-cms"},{"id":36,"name":"home-automation","display_name":"Home automation","slug":"home-automation"},{"id":20,"name":"image-editing","display_name":"Image editing","slug":"image-editing"},{"id":28,"name":"iot","display_name":"IoT","slug":"iot"},{"id":13,"name":"local-llm","display_name":"Local LLM","slug":"local-llm"},{"id":17,"name":"mcp","display_name":"MCP","slug":"mcp"},{"id":47,"name":"monitoring","display_name":"Monitoring","slug":"monitoring"},{"id":2,"name":"nlp","display_name":"NLP","slug":"nlp"},{"id":26,"name":"observability","display_name":"Observability","slug":"observability"},{"id":40,"name":"pentesting","display_name":"Pentesting","slug":"pentesting"},{"id":48,"name":"programming-examples","display_name":"Programming examples","slug":"programming-examples"},{"id":42,"name":"proxy","display_name":"Proxy","slug":"proxy"},{"id":14,"name":"rag","display_name":"RAG","slug":"rag"},{"id":56,"name":"resume-building","display_name":"Resume building","slug":"resume-building"},{"id":33,"name":"robotics","display_name":"Robotics","slug":"robotics"},{"id":30,"name":"search","display_name":"Search","slug":"search"},{"id":43,"name":"self-hosted","display_name":"Self-hosted","slug":"self-hosted"},{"id":50,"name":"static-analysis","display_name":"Static analysis","slug":"static-analysis"},{"id":18,"name":"synthetic-data","display_name":"Synthetic data","slug":"synthetic-data"},{"id":19,"name":"text-to-speech","display_name":"Text to speech","slug":"text-to-speech"},{"id":53,"name":"ui-components","display_name":"UI components","slug":"ui-components"},{"id":15,"name":"vector-database","display_name":"Vector database","slug":"vector-database"},{"id":21,"name":"video-editing","display_name":"Video editing","slug":"video-editing"},{"id":25,"name":"web-scraping","display_name":"Web scraping","slug":"web-scraping"},{"id":55,"name":"webassembly","display_name":"WebAssembly","slug":"webassembly"},{"id":23,"name":"workflow-automation","display_name":"Workflow automation","slug":"workflow-automation"}]" returns me the "expected json"