NOTE: THIS REPO HAS BEEN REPLACED BY picili-ts.

picili is an automated image search engine / browser that synchronizes with a chosen folder on your dropbox. It automatically analyses all pictures there, staying up to date with any pictures that you add, remove, or change. A lightweight web-app facilitates browsing and searching through your pictures. The web-app has been designed for tight alignment with the different kind of tags picili categorizes your pictures with. It uses some external APIs to assist with tagging, but is designed to stay within the free tier of each. So only a VPS need be paid for.

1. How it works
2. Set up
3. Working on picili
4. Deploying

• user registers and connects their dropbox account through OAuth
• user then enters a folder on their dropbox where they store their pictures
• picili polls dropbox every x minutes, getting a list of files.
• compares to all files it has identified so far.
• adds any new ones to a local list and queues them to be imported, and removes any now deleted files.
• queued files are each downloaded locally, processed, and then deleted locally
• processing consists of
  • creating thumbnails
  • extracting exif information
  • determining colours
  • sending the picture to a subject recognition API
  • if the picture contains geo exif data
    • geocoding: get location information (via external API)
    • altitude encoding: derive elevation in metres from latitude/longitude (via an external API)

Main parts:

• SPA: the front end is an Angular single page application (SPA)
• API: a PHP API made using laravel which the SPA calls
• Auto: A seperate project running in the background which is also a Laravel PHP project, this does all the dropbox synchronizing and file tagging/processing.
• Auto-Scaler: A small node js project which scales up instances of the Auto project based on demand

Techs:

• SPA: JS / Typescript / Angular 7 / SASS / Gulp
• Auto-Scaler: Node JS
• API / Auto: PHP / Laravel / Elasticsearch / MySQL
• *: Docker

Mac: append the workspace volume with :cached. So - ./www-workspace:/var/www becomes - ./www-workspace:/var/www:cached

Linux: you may need to run sudo sysctl vm.max_map_count=262144 to ensure elasticsearch can run correctly

Picili is completely dockerized.

• cd into the root folder
• create and configure an env file from the sample cp .env.sample .env, being sure to update the following keys:
  • APP_KEY (must be 32 characters)
  • APP_URL (eg http://localhost)
  • DROPBOX_CLIENT_ID (app key)
  • DROPBOX_CLIENT_SECRET (app secret)
  • API_GOOGLE_ELEVATION_KEY
  • API_OPEN_CAGE_KEY
  • API_IMAGGA_KEY
  • API_IMAGGA_SECRET
  • API_PLANT_NET_KEY
  • AWS_KEY
  • AWS_SECRET
  • AWS_REGION
• run docker-compose up -d to build

The first time you run picili locally, you should generate necessary seed data:

• docker-compose run workspace bash "./local-setup.sh"

• picili is now ready to run and should be accessible from http://localhost

Click 'login' and then register to begin.

You will need to start the auto-scalar, for image processing to happen 'in the background'.

To start the auto processor(s): cd /var/www/auto-scaler && npm start (this should be run from within the workspace container - docker-compose run workspace bash "cd /var/www/auto-scaler && npm start")

Do everything dev related in the workspace container: docker-compose run workspace bash

API tests: cd /var/www/user-api-laravel && vendor/bin/phpunit Auto tests: cd /var/www/auto && vendor/bin/phpunit

cd /var/www/user-api-laravel && vendor/bin/phpunit --filter testUpdateDropboxFilesource tests/Feature/BlackboxTest

• SPA: http://localhost
• API directly: http://localhost:81
• PHP myAdmin: http://localhost:8080
  • host: mysql
  • user: root
  • password: password (doesn't follow env values at all..)
• kibana http://localhost:5601/
  • console browser: http://localhost:5601/app/kibana#/dev_tools/console?_g=()
• dejavu http://localhost:1358
  • Careful entering the cluster details, the URI should contain the protocol and port along with host: (uri: http://localhost:9200 and index: files)
• TS API: http://localhost:3200/graphql
• React TS frontend: http://localhost:3201

(to be run from the workspace container)

• delete elastic: cd /var/www/auto && php artisan elastic-delete

• create elastic index: cd /var/www/auto && php artisan elastic-create

• re-index: cd /var/www/auto && php artisan index-all

• re-create: cd /var/www/auto && php artisan elastic-delete && php artisan elastic-create

• all (re-create and re-index): cd /var/www/auto && php artisan elastic-delete && php artisan elastic-create && php artisan index-all

• host: 127.0.0.1
• user: root
• password: password

Is run from within a docker container spa. The Spa is built and run as standard, so just work on the spa source and it will keep rebuilding automatically. If you want to enter the container, run docker-compose run spa sh

The app is served on localhost:80 and communicates to the API which runs on localhost:81 (presuming you've already run docker-compose up [-d] to start the 'backend'.

If you plan on editing sass files, also run docker-compose run spa yarn run gulp-watch.

Debugging is enabled via a vscode task. Add breakpoints to any serverside code, then press F5 to start debugging. App will pause when it hits (via an http request) a breakpoint.

locally the SPA and API run on localhost port 80 and 81 respectively. In production they both run on port 80, and are served as the same website. The API serves the SPA which has been copied into its public folder as part of the build process.

• angular - old - SPA: https://[YOUR IP/SITE]
• php - old - API: https://[YOUR IP/SITE]:81
• react - new - SPA: http://[YOUR IP/SITE]:82 (note: not https/ssl)
• ts - new - API: https://[YOUR IP/SITE]:3200

bash ./deploy-scripts/initial-deploy will create/configure a VPS and setup the project.

Seperately:

• update your dropbox app to have an allowed redirect URI: https://[YOUR IP/SITE]/oauth/dropbox

• git push/merge changes to master
• update remote files, restart images (inc auto-scaler, also rebuilds spa) bash ./deploy-scripts/run-remote-update.sh

*If the changes were in the SPA, flush caches (eg cloudflare)

Bash into a container to see what's going on:

• ssh in to server: docker-machine ssh picili
• spa: docker-compose -f docker-compose.prod.yml run spa sh
• php-fpm: docker-compose -f docker-compose.prod.yml run php-fpm bash
• workspace: docker-compose -f docker-compose.prod.yml run workspace bash

Download a log file: docker-machine scp picili:/picili/www-workspace/user-api-laravel/storage/logs/laravel.log . will download the laravel.log file into local dir

Download all logs (to ./serverlogs): bash ./deploy-scripts/download.logs.sh