Files
alexei.dolgolyov 286b55986b perf(scraping): parallel HTTP fan-out, sequential DB persist (HIGH)
The Pull*UseCase implementations issued one HTTP request at a time despite
Scraping:MaxConcurrentRequests=4. With 30–80 live events and ~1s per
fetch, a 5–10s live cadence target was unreachable; cycles overflowed
the configured interval.

* New Marathon.Application.Configuration.ScrapingThrottle bound from the
  shared Scraping:* section. Exposes only MaxConcurrentRequests so the
  Application layer doesn't pull in the Infrastructure-side ScrapingOptions.
* PullLiveOddsUseCase + PullUpcomingEventsUseCase split into two phases:
  - Phase 1 — Parallel.ForEachAsync over the event list with
    MaxDegreeOfParallelism = throttle.MaxConcurrentRequests. The scraper's
    Polly rate limiter still throttles to RequestsPerSecond underneath
    this fan-out, so spikes are smoothed before they hit the bookmaker.
  - Phase 2 — sequential foreach over the (Event, Snapshot) tuples
    captured in Phase 1, doing event upsert + snapshot insert. EF Core
    DbContext is not thread-safe so all DB writes stay on a single thread.
* InfrastructureModule binds ScrapingThrottle alongside AnomalyOptions.
* Failed snapshot scrapes in Phase 1 mean the event row is also NOT
  persisted in Phase 2 — previously we'd persist the row even when the
  snapshot scrape failed, leaving an orphan event with no odds. Updated
  the regression test accordingly.
* Test fixture exposes TestFixtures.Throttle(maxConcurrentRequests=1) for
  deterministic sequential test runs.
* One existing NSubstitute setup that chained Arg.Is<>() across two
  configurations was rewritten to use a single Arg.Any<>() with inline
  branching — chained matchers were leaking and returning wrong results.
2026-05-09 15:27:06 +03:00
..