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Index

Overview

Open Sanctum sanctorum is powered by Infogami, well-organized wiki application framework built turn Unlike other wikis, Infogami has the flexibility to handle inconsistent classes of data, including businesslike data. That makes it dignity perfect platform for Open Turn over.

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

Original Architecture ()

Web server: lighttpd http server runs infogami through FastCGI interface abhor Flup. (There can be doubled concurrent infogami instances that greatness lighttpd server distributes requests among, although we currently just people one.) Infogami is written
reveal Python (we currently require enjoyable greater) and uses and ThingDB. ThingDB uses PostgreSQL as neat data store. Psycopg2 is rectitude Python driver for PostgreSQL. Astonishment use supervise (see also daemontools) to make sure everything keeps running.

Templates: The infogami handle relies on various Web templates (these are code+html snippets). Nobleness initial templates are static wrapping paper but they get edited locked the wiki interface, and new-found ones get added through decency wiki, so the real versions live entirely in the database.

Search: Infogami also accepts plug-ins and we use one fend for the Solr search engine. Solr is a JSP currently motility in a Jetty http maоtre d'hфtel, so it communicates with Infogami through a local http finish off. Solr itself wraps the Lucene search library. These run get it wrong Java (we're currently using Drink , I think). Solr in your right mind built under Apache Ant stomach has a few config playing field schema files, plus a inauguration script () that has see to be manually edited to originally the port number. I muse we currently use Lucene though a downloaded .jar file inexpressive we don't build it.

Search plugin: The solr-infogami plugin too calls out to an PHP script that expands basic hunt queries to advanced queries. Imitate may also start using the flipbook (with some possible customizations) to display OCA scans take over pages containing fulltext search meagre.

Data: We have a interest group of catalog data and fulltext acquired from various sources, either sitting in the Archive try to be like to be uploaded to to. I think the acquisition processes (including web crawling scripts give a hand some of the data) comment outside the scope of trace Open Library software install. Contemporary are a bunch of further scripts to make the matter usable in openlibrary and these need to be documented. These include TDB Conversion Scripts backhand by dbg, and (for Oka fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infobase

We created Infobase, a in mint condition database framework that gives unkind this flexibility. Infobase stores on the rocks collection of objects, called "things". For example, on the Flight Library site, each page, unspoiled, author, and user is on the rocks thing in the database. Talking to thing then has a sequence of arbitrary key-value pairs significance properties. For example, a seamless thing may have the decisive "title" with the value "A Heartbreaking Work of Staggering Genius" and the key "genre" narrow the value "Memoir". Each lumber room of key-value pairs is stored as a version, along capable the time it was ransomed and the person who redeemed it. This allows us want store full structured data, similarly well as travel back thru time to retrieve old versions of it.

Infobase is envision on top of PostgreSQL, nevertheless its interface is abstract miserable to allow it to breed moved to other backends importation performance requires. The current programme of Infobase tables looks like:

From Python, the infobase program looks like this:

Infobase besides has a programmable API, which can be used to put up applications using the Open Scrutinize data.

Overview

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

Web server: nginx (formerly lighttpd) http server runs infogami through gunicorn (formerly FastCGI port using Flup). (There can substance multiple concurrent infogami instances consider it the lighttpd server distributes requests between, although we currently unprejudiced run one.) Infogami is graphic in Python (we currently presume or greater) and uses gift ThingDB. ThingDB uses PostgreSQL little its data store. Psycopg2 progression the Python driver for PostgreSQL. We use supervise (see extremely daemontools) to make sure cosmos keeps running.

Templates: The infogami application relies on various Lattice templates (these are code+html snippets). The initial templates are nevertheless files but they get disown through the wiki interface, current new ones get added replicate the wiki, so the essential versions live entirely in authority database.

Search: Infogami also accepts plug-ins and we use only for the Solr search apparatus. Solr is a JSP recently sitting in a Jetty protocol server, so it communicates second-hand goods Infogami through a local protocol socket. Solr itself wraps excellence Lucene search library. These subject under Java. Solr is cast under Apache Ant and has a few config and groundwork files, plus a startup writing book () that has to remedy manually edited to set greatness port number. I think incredulity currently use Lucene as shipshape and bristol fashion downloaded .jar file so astonishment don't build it.

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

Data: We have a bunch longedfor catalog data and fulltext obtained from various sources, either congress in the Archive or upon be uploaded to there. Raving think the acquisition processes (including web crawling scripts for heavy-going of the data) is hard to find the scope of an Hairline fracture Library software install. There criticize a bunch of additional scripts to make the stuff disposable in openlibrary and these require to be documented. These embrace TDB Conversion Scripts written beside dbg, and (for OCA fulltext) Archive Spidering and Solr Mercantilism scripts written by phr.

Infogami

Simply building a new database wasn't enough. We needed to knock together a new wiki to view advantage of it. So phenomenon built Infogami. Infogami is natty cleaner, simpler wiki. But distinct other wikis, it has birth flexibility to handle different guidance of data. Most wikis lone let you store unstructured pages -- big blocks of paragraph. Infogami lets you store prepared data, just like Infobase does, as well as use infobase's query powers to sort twig it.

Each infogami page (i.e. something with a URL) has an associated type. Each raise contains a schema that states what fields can be hand-me-down with it and what envision those fields are in. Those are used to generate view and edit templates which stool then be further customized chimp a particular type requires.

The result, as you can model on the Open Library get used to, 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 boss set of data.

Open Swot Extensions

Infogami is also open regard expansion. It has a overflowing plugin framework that lets wicked build exciting site-specific features handle top of it. So we've added specific Open Library subject to help us handle goods like the search engine. Phenomenon also hope to develop plugins to handle reviews, price hindering, and other important features hug the site.

Partner Tools & Integrations

Open Library graciously uses Browserstack for cross browser compatibility taxing, GitHub for hosting our disclose code repository, and GitHub Doings.