At this stage, the crawler will use the WARCs to resume a crawl if it terminates incorrectly.
This is a WIP commit, since the warc files are not fully incorporated into the work flow, they are deleted after the domain is crawled.
The commit also includes fairly invasive refactoring of the crawler classes, to accomplish better separation of concerns.
This is the same as the prefix for the IP address, but I don't think that substantially matters, the as two have such different namespaces there can be no confusion.
In this commit, GeoIP-related classes are refactored and relocated to a common library as they are shared across multiple services.
The crawler is refactored to enable the GeoIpBlocklist to use the new GeoIpDictionary as the base of its decisions.
The converter is modified ot query this data to add a geoip:-keyword to documents to permit limiting a search to the country of the hosting server.
The commit also adds due BY-SA attribution in the search engine footer for the source of the IP geolocation data.
This commit also fixes a bug in the loader where the IP field wouldn't always populate as intended, and refactors the DomainInformationService to use significantly fewer SQL queries.
Refactored the getDocumentsStream method in EncyclopediaMarginaliaNuSideloader to use the newly extracted ProcessingIterator class that encapsulates processing a stream of results from e.g a database query in parallel and returning the computed results as an iterator.
The iterator was also improved on to be more reliable, previous versions of the logic would sometimes deadlock due to false positives in hasMore().
The commit updates EncyclopediaMarginaliaNuSideloader to include the AnchorTextKeywords in processing documents, aiding search result relevance.
It also removes old test-related functionality and a large but fairly useless test previously used to debug a specific problem, to the detriment of the overall code quality.
The converter was not properly initiating the external links for each domain, causing an NPE in conversion. This needs to be loaded later since we don't know the domain we're processing until we've seen it in the crawl data.
Also made some refactorings to make finding converter bugs easier, and finding the related domain less awkward from the SerializableCrawlData interface.
The code now includes an additional function in the DomainProcessor class that checks if a domain is associated with academia. An academic domain is identified by the ".edu" TLD, or fits a specific regex pattern matching domains like *.ac.ccTld or *.edu.ccTld.
If these conditions are met, the search term "special:academia" is added to the domain.
The existing academia search filter uses personalized pagerank to select academia-adjacent domains, but it isn't working very well. The hope is that filtering on domain names will be more effective, and that it can supplant the ranking-based approach.
Partially hook in the WarcRecorder into the crawler process. So far it's not read, but should record the crawled documents.
The WarcRecorder and HttpFetcher classes were also refactored and broken apart to be easier to reason about.
This is a first step of using WARC as an intermediate flight recorder style step in the crawler, ultimately aimed at being able to resume crawls if the crawler is restarted. This component is currently not hooked into anything.
The OkHttp3 client wrapper class 'WarcRecordingFetcherClient' was implemented for web archiving. This allows for the recording of HTTP requests and responses. New classes were introduced, 'WarcDigestBuilder', 'IpInterceptingNetworkInterceptor', and 'WarcProtocolReconstructor'.
The JWarc dependency was added to the build.gradle file, and relevant unit tests were also introduced. Some HttpFetcher-adjacent structural changes were also done for better organization.
This functionality needs to be accessed by the WarcSideloader, which is in the converter. The resultant microlibrary is tiny, but I think in this case it's justifiable.
This update includes the integration of the jwarc library and implements support for Warc file sideloading, as a first trial integration with this library.
The repartition endpoint was mis-addressing its mqapi notifications, omitting the proper nodeId. In fixing this, it became apparent that having both @MqRequest and @MqNotification is a serious footgun, and the two should be unified into a single API where the caller isn't burdened with knowledge of the remote end's implementation specifics.
Wrapping these exceptions in a try-catch and logging them with slf4j will ensure they end up in the process logs.
The way it worked using the default exception handler, they'd print on console (which nothing captures!), leading to a very annoying debugging experience.
This behavior is an old vestige from the days of only having a single loader process. We'd truncate the links table because doing inserts/updates was too slow. This was also important because we had 32 bit ID, and there's a lot of links between domains to go around...
Instead we delete the rows associated with the current node with a stored procedure PURGE_LINKS_TABLE.
We also update the PRIMARY KEY to a BIGINT. We'll need to load the data in excess of billion times to hit an ID rollover, so it'll be fine.
* Added new (optional) model file in $WMSA_HOME/data/atags.parquet
* Converter gets a component for creating a projection of its domains onto the full atags parquet file
* New WordFlag ExternalLink
* These terms are also for now flagged as title words
* Fixed a bug where Title words aliased with UrlDomain words
* Fixed a bug in the encyclopedia sideloader that gave everything too high topology ranking
This was caused by a bug in the binary search algorithm causing it to sometimes return positive values when encoding a search miss.
It was also necessary to get rid of the vestiges of the old LongArray and IntArray classes to make this fix doable.
* Encyclopedia sideloader; permit providing base URL.
* Storage base shows node id in GUI
* ProcessLivenessMonitorActor restarts automatically
* Clean-up of outbox code
This turned out to be very difficult to do in small isolated steps.
* Design overhaul of the control gui using bootstrap
* Move the actors out of control-service into to a new executor-service, that can be run on multiple nodes
* Add node-affinity to message queue
