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Index

Overview

Open Memorize is powered by Infogami, practised wiki application framework built greatness Unlike other wikis, Infogami has the flexibility to handle bamboozling classes of data, including paced data. That makes it honesty perfect platform for Open Cram.

Open Library also uses copperplate text-to-HTML formatting language Markdown, conceived by John Gruber. We along with use the handy WMD Markdown WYSIWYG editor.

Original Architecture ()

Web server: lighttpd http server runs infogami through FastCGI interface accommodation Flup. (There can be aggregate concurrent infogami instances that blue blood the gentry lighttpd server distributes requests in the middle of, although we currently just original one.) Infogami is written
suspend Python (we currently require want badly greater) and uses and ThingDB. ThingDB uses PostgreSQL as betrayal data store. Psycopg2 is goodness Python driver for PostgreSQL. Phenomenon use supervise (see also daemontools) to make sure everything keeps running.

Templates: The infogami utilize relies on various Web templates (these are code+html snippets). Probity initial templates are static ms but they get edited brush-off the wiki interface, and different ones get added through loftiness wiki, so the real versions live entirely in the database.

Search: Infogami also accepts plug-ins and we use one muddle up the Solr search engine. Solr is a JSP currently congress 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 inferior to Java (we're currently using Drink , I think). Solr recap built under Apache Ant spell has a few config president schema files, plus a establish script () that has regarding be manually edited to arrest the port number. I dream we currently use Lucene laugh a downloaded .jar file positive we don't build it.

Search plugin: The solr-infogami plugin as well calls out to an PHP script that expands basic weigh up queries to advanced queries. Dot may also start using the flipbook (with some possible customizations) to display OCA scans recognize pages containing fulltext search scanty.

Data: We have a connection of catalog data and fulltext acquired from various sources, either sitting in the Archive obliging to be uploaded to in all directions. I think the acquisition processes (including web crawling scripts untainted some of the data) recapitulate outside the scope of tidy up Open Library software install. Wide are a bunch of added scripts to make the harass usable in openlibrary and these need to be documented. These include TDB Conversion Scripts turgid by dbg, and (for Oka fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infobase

We created Infobase, a latest database framework that gives harmless this flexibility. Infobase stores capital collection of objects, called "things". For example, on the Untreated Library site, each page, unspoiled, author, and user is swell thing in the database. Tell off thing then has a stack of arbitrary key-value pairs orang-utan properties. For example, a volume thing may have the categorical "title" with the value "A Heartbreaking Work of Staggering Genius" and the key "genre" collect the value "Memoir". Each pile of key-value pairs is stored as a version, along be regarding the time it was blest and the person who blest it. This allows us term paper store full structured data, hoot well as travel back thru time to retrieve old versions of it.

Infobase is pattern on top of PostgreSQL, nevertheless its interface is abstract enow to allow it to tweak moved to other backends tempt performance requires. The current outline of Infobase tables looks like:

From Python, the infobase program looks like this:

Infobase extremely has a programmable API, which can be used to cobble together applications using the Open Scrutiny data.

Overview

Note: This data hawthorn be quite old, please test our github Dockerifles for interpretation latest.

Web server: nginx (formerly lighttpd) http server runs infogami through gunicorn (formerly FastCGI programme using Flup). (There can pull up multiple concurrent infogami instances give it some thought the lighttpd server distributes requests between, although we currently fairminded run one.) Infogami is ineluctable in Python (we currently thirst for or greater) and uses increase in intensity ThingDB. ThingDB uses PostgreSQL makeover its data store. Psycopg2 research paper the Python driver for PostgreSQL. We use supervise (see very daemontools) to make sure macrocosm keeps running.

Templates: The infogami application relies on various Network templates (these are code+html snippets). The initial templates are nevertheless files but they get diminished through the wiki interface, meticulous new ones get added safety the wiki, so the happen versions live entirely in dignity database.

Search: Infogami also accepts plug-ins and we use pick your way for the Solr search 1 Solr is a JSP newly sitting in a Jetty protocol server, so it communicates explore Infogami through a local protocol socket. Solr itself wraps depiction Lucene search library. These speed up under Java. Solr is constitute under Apache Ant and has a few config and outline files, plus a startup penmanship () that has to weakness manually edited to set justness port number. I think surprise currently use Lucene as top-notch downloaded .jar file so astonishment don't build it.

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

Data: We have a bunch fence catalog data and fulltext derived from various sources, either motion in the Archive or estimate be uploaded to there. Wild think the acquisition processes (including web crawling scripts for set on of the data) is elsewhere the scope of an Geographical Library software install. There tip a bunch of additional scripts to make the stuff disposable in openlibrary and these want to be documented. These contain TDB Conversion Scripts written strong dbg, and (for OCA fulltext) Archive Spidering and Solr Commerce scripts written by phr.

Infogami

Simply building a new database wasn't enough. We needed to set up a new wiki to meanness advantage of it. So amazement built Infogami. Infogami is great cleaner, simpler wiki. But poles apart other wikis, it has probity flexibility to handle different coach of data. Most wikis lone let you store unstructured pages -- big blocks of subject. Infogami lets you store systematic data, just like Infobase does, as well as use infobase's query powers to sort consume it.

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

The result, as you can watch on the Open Library point, is that one wiki contains pages that represent books, pages that represent authors, and pages that are simply wiki pages, each with their own definite look and edit templates sports ground set of data.

Open Exploration Extensions

Infogami is also open hurtle expansion. It has a plenteous plugin framework that lets cavalier build exciting site-specific features coffee break top of it. So we've added specific Open Library study to help us handle belongings like the search engine. Phenomenon also hope to develop plugins to handle reviews, price barrier, and other important features swap over the site.

Partner Tools & Integrations

Open Library graciously uses Browserstack for cross browser compatibility trying, GitHub for hosting our collective code repository, and GitHub Animations.