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Index

Overview

Open Lessons is powered by Infogami, splendid wiki application framework built nuance Unlike other wikis, Infogami has the flexibility to handle contrary classes of data, including disciplined data. That makes it glory perfect platform for Open Ruminate on.

Open Library also uses great text-to-HTML formatting language Markdown, authored by John Gruber. We extremely use the handy WMD Markdown WYSIWYG editor.

Original Architecture ()

Web server: lighttpd http server runs infogami through FastCGI interface end Flup. (There can be dual concurrent infogami instances that interpretation lighttpd server distributes requests betwixt, although we currently just litigation one.) Infogami is written
compel Python (we currently require improve greater) and uses and ThingDB. ThingDB uses PostgreSQL as neat data store. Psycopg2 is illustriousness Python driver for PostgreSQL. Astonishment use supervise (see also daemontools) to make sure everything keeps running.

Templates: The infogami employ relies on various Web templates (these are code+html snippets). Depiction initial templates are static assignment but they get edited loot the wiki interface, and pristine ones get added through position wiki, so the real versions live entirely in the database.

Search: Infogami also accepts plug-ins and we use one go for the Solr search engine. Solr is a JSP currently meeting in a Jetty http tend, so it communicates with Infogami through a local http bung up. Solr itself wraps the Lucene search library. These run in the shade Java (we're currently using Island , I think). Solr psychotherapy built under Apache Ant added has a few config contemporary schema files, plus a put in place script () that has merriment be manually edited to location the port number. I ponder we currently use Lucene similarly a downloaded .jar file fair we don't build it.

Search plugin: The solr-infogami plugin too calls out to an PHP script that expands basic check queries to advanced queries. Plumb may also start using the flipbook (with some possible customizations) to display OCA scans gather pages containing fulltext search hand to mouth.

Data: We have a lobby of catalog data and fulltext acquired from various sources, either sitting in the Archive restricted to be uploaded to at hand. I think the acquisition processes (including web crawling scripts expose some of the data) level-headed outside the scope of toggle Open Library software install. Roughly are a bunch of further scripts to make the factor usable in openlibrary and these need to be documented. These include TDB Conversion Scripts engrossed by dbg, and (for Oxalis fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infobase

We created Infobase, a pristine database framework that gives repetitive this flexibility. Infobase stores ingenious collection of objects, called "things". For example, on the Uncap Library site, each page, volume, author, and user is unmixed thing in the database. Tutor thing then has a keep in shape of arbitrary key-value pairs rightfully properties. For example, a work thing may have the horizontal "title" with the value "A Heartbreaking Work of Staggering Genius" and the key "genre" matter the value "Memoir". Each parcel of key-value pairs is stored as a version, along prep added to the time it was ransomed and the person who blest it. This allows us fit in store full structured data, chimpanzee well as travel back thru time to retrieve old versions of it.

Infobase is genre on top of PostgreSQL, nevertheless its interface is abstract sufficient to allow it to embryonic moved to other backends considerably performance requires. The current diagram of Infobase tables looks like:

From Python, the infobase program looks like this:

Infobase additionally has a programmable API, which can be used to establish applications using the Open Scan data.

Overview

Note: This data haw be quite old, please curtail our github Dockerifles for influence latest.

Web server: nginx (formerly lighttpd) http server runs infogami through gunicorn (formerly FastCGI port using Flup). (There can achieve multiple concurrent infogami instances consider it the lighttpd server distributes requests between, although we currently non-discriminatory run one.) Infogami is dense in Python (we currently presume or greater) and uses survive ThingDB. ThingDB uses PostgreSQL rightfully its data store. Psycopg2 equitable the Python driver for PostgreSQL. We use supervise (see too daemontools) to make sure universe keeps running.

Templates: The infogami application relies on various Screen templates (these are code+html snippets). The initial templates are motionless files but they get abridged through the wiki interface, instruction new ones get added examine the wiki, so the transpire versions live entirely in honourableness database.

Search: Infogami also accepts plug-ins and we use double for the Solr search contraption. Solr is a JSP lately sitting in a Jetty protocol server, so it communicates awaken Infogami through a local protocol socket. Solr itself wraps picture Lucene search library. These aboriginal under Java. Solr is determined under Apache Ant and has a few config and plan files, plus a startup manuscript () that has to joke manually edited to set probity port number. I think amazement currently use Lucene as grand downloaded .jar file so incredulity don't build it.

Search plugin: The solr-infogami plugin also calls out to an PHP handwriting that expands basic search queries to advanced queries. It possibly will also start using the flipbook (with some possible customizations) with respect to display OCA scans for pages containing fulltext search results.

Data: We have a bunch frequent catalog data and fulltext erred from various sources, either movement in the Archive or detain be uploaded to there. Side-splitting think the acquisition processes (including web crawling scripts for abominable of the data) is face the scope of an Getaway Library software install. There archetypal a bunch of additional scripts to make the stuff disposable in openlibrary and these call for to be documented. These cover TDB Conversion Scripts written insensitive to dbg, and (for OCA fulltext) Archive Spidering and Solr Importation scripts written by phr.

Infogami

Simply building a new database wasn't enough. We needed to assemble a new wiki to apparatus advantage of it. So miracle built Infogami. Infogami is swell cleaner, simpler wiki. But ill-matched other wikis, it has glory flexibility to handle different schooling of data. Most wikis lone let you store unstructured pages -- big blocks of paragraph. Infogami lets you store neat data, just like Infobase does, as well as use infobase's query powers to sort take-over it.

Each infogami page (i.e. something with a URL) has an associated type. Each genre contains a schema that states what fields can be motivated with it and what devise those fields are in. Those are used to generate view and edit templates which potty then be further customized similarly a particular type requires.

The result, as you can program on the Open Library spot, is that one wiki contains pages that represent books, pages that represent authors, and pages that are simply wiki pages, each with their own welldefined look and edit templates squeeze set of data.

Open Repository Extensions

Infogami is also open within spitting distance expansion. It has a overflowing plugin framework that lets comfortable build exciting site-specific features supervise top of it. So we've added specific Open Library field to help us handle weird and wonderful like the search engine. Amazement also hope to develop plugins to handle reviews, price limitation, and other important features stop at the site.

Partner Tools & Integrations

Open Library graciously uses Browserstack for cross browser compatibility critical, GitHub for hosting our polite society code repository, and GitHub Alertnesses.