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Index

Overview

Open is powered by Infogami, neat as a pin wiki application framework built forgery Unlike other wikis, Infogami has the flexibility to handle coldness classes of data, including cause data. That makes it leadership perfect platform for Open Read.

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

Original Architecture ()

Web server: lighttpd http server runs infogami through FastCGI interface make use of Flup. (There can be dual concurrent infogami instances that righteousness lighttpd server distributes requests 'tween, although we currently just hold on one.) Infogami is written
throw Python (we currently require sale greater) and uses and ThingDB. ThingDB uses PostgreSQL as close-fitting data store. Psycopg2 is primacy Python driver for PostgreSQL. Amazement use supervise (see also daemontools) to make sure everything keeps running.

Templates: The infogami utilization relies on various Web templates (these are code+html snippets). High-mindedness initial templates are static thesis but they get edited clean up the wiki interface, and additional ones get added through dignity wiki, so the real versions live entirely in the database.

Search: Infogami also accepts plug-ins and we use one promote the Solr search engine. Solr is a JSP currently session in a Jetty http computer, so it communicates with Infogami through a local http back up. Solr itself wraps the Lucene search library. These run beneath Java (we're currently using Drinkable , I think). Solr remains built under Apache Ant view has a few config careful schema files, plus a commencement script () that has support be manually edited to be fitting the port number. I dream we currently use Lucene chimp a downloaded .jar file tolerable we don't build it.

Search plugin: The solr-infogami plugin along with calls out to an PHP script that expands basic comb queries to advanced queries. Opinion may also start using the flipbook (with some possible customizations) to display OCA scans solution pages containing fulltext search sparing.

Data: We have a crowd of catalog data and fulltext acquired from various sources, either sitting in the Archive invasion to be uploaded to near. I think the acquisition processes (including web crawling scripts broadsheet some of the data) task outside the scope of threaten Open Library software install. Take are a bunch of broaden scripts to make the essence usable in openlibrary and these need to be documented. These include TDB Conversion Scripts impenetrable by dbg, and (for Oxalis fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infobase

We created Infobase, a spanking database framework that gives alert this flexibility. Infobase stores wonderful collection of objects, called "things". For example, on the Unscrew Library site, each page, tome, author, and user is expert thing in the database. Scold thing then has a progression of arbitrary key-value pairs chimp properties. For example, a paperback thing may have the wishy-washy "title" with the value "A Heartbreaking Work of Staggering Genius" and the key "genre" comprehend the value "Memoir". Each quota of key-value pairs is stored as a version, along obey the time it was redeemed and the person who reclaimed it. This allows us put up the shutters store full structured data, makeover well as travel back thru time to retrieve old versions of it.

Infobase is set up on top of PostgreSQL, on the contrary its interface is abstract sufficient to allow it to breed moved to other backends introduce performance requires. The current foundation of Infobase tables looks like:

From Python, the infobase port looks like this:

Infobase too has a programmable API, which can be used to fabricate applications using the Open On data.

Overview

Note: This data the fifth month or expressing possibility be quite old, please test our github Dockerifles for glory latest.

Web server: nginx (formerly lighttpd) http server runs infogami through gunicorn (formerly FastCGI programme using Flup). (There can put right multiple concurrent infogami instances turn this way the lighttpd server distributes requests between, although we currently fairminded run one.) Infogami is predestined in Python (we currently instruct or greater) and uses discipline ThingDB. ThingDB uses PostgreSQL by the same token its data store. Psycopg2 bash the Python driver for PostgreSQL. We use supervise (see as well daemontools) to make sure yet keeps running.

Templates: The infogami application relies on various Short for World Wide Web templates (these are code+html snippets). The initial templates are stagnant files but they get murder through the wiki interface, captivated new ones get added use up the wiki, so the genuine versions live entirely in authority database.

Search: Infogami also accepts plug-ins and we use prepare for the Solr search motor. Solr is a JSP newly sitting in a Jetty protocol server, so it communicates organize Infogami through a local protocol socket. Solr itself wraps position Lucene search library. These enquiry under Java. Solr is construct under Apache Ant and has a few config and plan files, plus a startup penmanship () that has to live manually edited to set distinction port number. I think amazement currently use Lucene as cool downloaded .jar file so surprise 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 can also start using the flipbook (with some possible customizations) suck up to display OCA scans for pages containing fulltext search results.

Data: We have a bunch disseminate catalog data and fulltext derived from various sources, either congress in the Archive or progress to be uploaded to there. Uncontrollable think the acquisition processes (including web crawling scripts for despicable of the data) is unlikely the scope of an Erupt Library software install. There rummage a bunch of additional scripts to make the stuff utile in openlibrary and these entail to be documented. These subsume TDB Conversion Scripts written exceed dbg, and (for OCA fulltext) Archive Spidering and Solr Commercialism scripts written by phr.

Infogami

Simply building a new database wasn't enough. We needed to constitute a new wiki to extract advantage of it. So incredulity built Infogami. Infogami is a- cleaner, simpler wiki. But ill-matched other wikis, it has prestige flexibility to handle different schooling of data. Most wikis single let you store unstructured pages -- big blocks of words. Infogami lets you store regular data, just like Infobase does, as well as use infobase's query powers to sort transmit it.

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

The result, as you can perceive on the Open Library location, is that one wiki contains pages that represent books, pages that represent authors, and pages that are simply wiki pages, each with their own plain look and edit templates become peaceful set of data.

Open Enquiry Extensions

Infogami is also open calculate expansion. It has a ample plugin framework that lets austere build exciting site-specific features grouping top of it. So we've added specific Open Library study to help us handle different like the search engine. Surprise also hope to develop plugins to handle reviews, price snag, and other important features infer the site.

Partner Tools & Integrations

Open Library graciously uses Browserstack for cross browser compatibility searching, GitHub for hosting our commence code repository, and GitHub Affairs.