Still missing is a proper build, we're currently pulling in tailwind from a CDN, which is no bueno in prod.
There's also a lot of polish remaining everywhere, dead links, etc.
This update eliminates all occurrences of the OpenNLP token model from the setup script, configuration, and test files, as this model file is no longer used.
Since some of the export tasks have been memory hungry, sometimes killing the executor-services, they've been moved to a separate process that can be given a larger Xmx.
While doing this, the ProcessMainClass was given utilities for the boilerplate surrounding receiving mq requests and responding to them, some effort was also put toward making the process boot process a bit more uniform. It's still a bit heterogeneous between different processes, but a bit less so for now.
Adding a new @Tag("flaky") for tests that do not reliably return successes. These may still be valuable during development, but should not run in CI.
Also tagging a few of the slower tests with the old @Tag("slow"), to speed up the run-time.
The new service 'status-service' will poll public endpoints periodically, and publish a basic read-only UI with the results, as well as publish the results to prometheus.
Always request the main site screenshot to ensure staleness checks and necessary updates. Limit additional screenshot requests for similar and linking domains to avoid overloading with a maximum of 5 requests per view.
This will help these queries deal with domains that do not have a subdomain so that they do not drag up subdomains as well, as they are also given the special site:-keyword for their corresponding parent domain.
Refactoring keyword extraction to extract spans information.
Modifying the intermediate storage of converted data to use the new slop library, which is allows for easier storage of ad-hoc binary data like spans and positions.
This is a bit of a katamari damacy commit that ended up dragging along a bunch of other fairly tangentially related changes that are hard to break out into separate commits after the fact. Will push as-is to get back to being able to do more isolated work.
The change also restructures the internal API a bit, moving resultsFromDomain from RpcRawResultItem into RpcDecoratedResultItem, as the previous order was driving complexity in the code that generates these objects, and the consumer side of things puts all this data in the same object regardless.
This corrects an annoying bug that had the system crash and burn on first start-up due to a race condition in service initialization, where the services were attempting to access the database before it was properly migrated.
A fix was in principle already in place, but it was running too late and did not prevent attempts to access the as-yet uninitialized database. Move the first boot check into the MainClass instead of the Service constructor.
The change also adds more appropriate docker dependencies to the services to fix rare errors resolving the hostname of the database.
Before the gRPC migration, the system would serve both public and internal requests over HTTP, but distinguish the two using path prefixes and a few HTTP Headers (X-Public, X-Context) added by the reverse proxy to prevent misconfigurations.
Since internal requests meaningfully no longer use HTTP, this convention is just an obstacle now, adding the need to always run the system behind a reverse proxy that rewrites the paths.
The change removes the path prefix, and updates the docker templates to reflect the change. This will require a migration for existing systems.
This is necessary as we use zookeeper to orchestrate first-time startup of the services, to ensure that the database is properly migrated by the control service before anything else is permitted to start.
Roll back to JDK 21 for now, and make Java version configurable in the root build.gradle
The project has run into no less than three distinct show-stopping bugs in JDK22, across multiple vendors, and gradle still doesn't fully support it, meaning you need multiple JDK versions installed.
The change set cleans up the data model for the term-level data. This used to contain a bunch of fields with document-level metadata. This data-duplication means a larger memory footprint and worse memory locality.
The ranking code is also modified to not accept SearchResultKeywordScores, but rather CompiledQueryLong and CqDataInts containing only the term metadata and the frequency information needed for ranking. This is again an effort to improve memory locality.
