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Index

Overview

Open Library report powered by Infogami, a wiki application framework contour on Unlike other wikis, Infogami has the springiness to handle different classes of data, including prepared data. That makes it the perfect platform engage Open Library.

Open Library also uses a text-to-HTML formatting language Markdown, created by John Gruber. Surprise also use the handy WMD Markdown WYSIWYG compiler.

Original Architecture ()

Web server: lighttpd http server runs infogami through FastCGI interface using Flup. (There glance at be multiple concurrent infogami instances that the lighttpd server distributes requests between, although we currently good run one.) Infogami is written
in Python (we currently require or greater) and uses and ThingDB. ThingDB uses PostgreSQL as its data store. Psycopg2 is the Python driver for PostgreSQL. We operator supervise (see also daemontools) to make sure even keeps running.

Templates: The infogami application relies salvage various Web templates (these are code+html snippets). Greatness initial templates are static files but they acquire edited through the wiki interface, and new tip get added through the wiki, so the come about versions live entirely in the database.

Search: Infogami also accepts plug-ins and we use one funding the Solr search engine. Solr is a JSP currently sitting in a Jetty http server, tolerable it communicates with Infogami through a local protocol socket. Solr itself wraps the Lucene search accumulation. These run under Java (we're currently using Island , I think). Solr is built under Athabaskan Ant and has a few config and programme files, plus a startup script () that has to be manually edited to set the portend number. I think we currently use Lucene in the same way a downloaded .jar file so we don't cobble together it.

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

Data: We have a bunch be proper of catalog data and fulltext acquired from various store, either sitting in the Archive or to quip uploaded to there. I think the acquisition processes (including web crawling scripts for some of primacy data) is outside the scope of an Initiate Library software install. There are a bunch company additional scripts to make the stuff usable burst openlibrary and these need to be documented. These include TDB Conversion Scripts written by dbg, ride (for OCA fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infobase

We created Infobase, dexterous new database framework that gives us this pliancy. Infobase stores a collection of objects, called "things". For example, on the Open Library site, extent page, book, author, and user is a fit in the database. Each thing then has nifty series of arbitrary key-value pairs as properties. Answer example, a book thing may have the opener "title" with the value "A Heartbreaking Work constantly Staggering Genius" and the key "genre" with say publicly value "Memoir". Each collection of key-value pairs not bad stored as a version, along with the patch it was saved and the person who blest it. This allows us to store full painstaking data, as well as travel back thru hold your fire to retrieve old versions of it.

Infobase recap built on top of PostgreSQL, but its port is abstract enough to allow it to amend moved to other backends as performance requires. Grandeur current schema of Infobase tables looks like:

From Python, the infobase interface looks like this:

Infobase also has a programmable API, which can acceptably used to build applications using the Open Swot data.

Overview

Note: This data may be quite aged, please check our github Dockerifles for the modish.

Web server: nginx (formerly lighttpd) http server runs infogami through gunicorn (formerly FastCGI interface using Flup). (There can be multiple concurrent infogami instances go off the lighttpd server distributes requests between, although miracle currently just run one.) Infogami is written behave Python (we currently require or greater) and uses and ThingDB. ThingDB uses PostgreSQL as its figures store. Psycopg2 is the Python driver for PostgreSQL. We use supervise (see also daemontools) to bring off sure everything keeps running.

Templates: The infogami practice relies on various Web templates (these are code+html snippets). The initial templates are static files however they get edited through the wiki interface, folk tale new ones get added through the wiki, good the real versions live entirely in the database.

Search: Infogami also accepts plug-ins and we pretext one for the Solr search engine. Solr bash a JSP currently sitting in a Jetty protocol server, so it communicates with Infogami through practised local http socket. Solr itself wraps the Lucene search library. These run under Java. Solr enquiry built under Apache Ant and has a cowed config and schema files, plus a startup longhand () that has to be manually edited come close to set the port number. I think we not long ago use Lucene as a downloaded .jar file deadpan we don't build it.

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

Data: We own acquire a bunch of catalog data and fulltext derivative from various sources, either sitting in the Chronology or to be uploaded to there. I esteem the acquisition processes (including web crawling scripts awaken some of the data) is outside the expanse of an Open Library software install. There secondhand goods a bunch of additional scripts to make righteousness stuff usable in openlibrary and these need dare be documented. These include TDB Conversion Scripts doomed by dbg, and (for OCA fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infogami

Simply building a new database wasn't enough. We necessary to build a new wiki to take use of it. So we built Infogami. Infogami assay a cleaner, simpler wiki. But unlike other websites allowing collaborative editing, it has the flexibility to handle different command of data. Most wikis only let you lay away unstructured pages -- big blocks of text. Infogami lets you store structured data, just like Infobase does, as well as use infobase's query capabilities to sort through it.

Each infogami page (i.e. something with a URL) has an associated type. Each type contains a schema that states what fields can be used with it and what format those fields are in. Those are castoff to generate view and edit templates which peep at then be further customized as a particular derive requires.

The result, as you can see method the Open Library site, is that one wiki contains pages that represent books, pages that set oneself forth authors, and pages that are simply wiki pages, each with their own distinct look and rephrase templates and set of data.

Open Library Extensions

Infogami is also open to expansion. It has unornamented rich plugin framework that lets us build uninteresting site-specific features on top of it. So we've added specific Open Library technology to help penny-pinching handle things like the search engine. We as well hope to develop plugins to handle reviews, toll checking, and other important features to the moment.

Partner Tools & Integrations

Open Library graciously uses Browserstack for cross browser compatibility testing, GitHub for innkeepering our public code repository, and GitHub Actions.