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Należy chwilę odczekać, gdyż Kafka się długo uruchamia i dopiero po jej uruchomieniu rozwiązanie zaczyła działać stabilnie.\n\n## [Generator](generator/README.md)\nTworzy losowe transakcje które są zapisywane na topic Kafki `transactions` w formacie JSON.\nParametry generatora można zmieniać poprzez parametry w pliku `docker-compose.yaml`.\n\n## [Flink](frauddetection/README.md)\nZarządza i uruchamia algorytmy sprawdzające oszustwa. Czyta z topicu Kafki `transactions`, a zapisuje wyniki do topicu `alerts`.\n\nJest kilka algorytmów sprawdzających wiarygodność transakcji.\n- `ExpiredCardDetector` - sprawdza, czy transakcja nie odbyła się po skończeniu ważności karty,\n- `OverLimitDetector` - sprawdza, czy transakcja mieści się w limicie,\n- `SmallThenLargeDetector` - sprawdza, czy w okienku minutowym nie dopuszczono się małej transakcji (poniżej 20 zł), po czym wykonano dużą transakcję (powyżej 500 zł),\n- `NormalDistributionDetector` - oblicza parametry rozkładu normalnego: średnią oraz wariancję, a na ich podstawie odrzuca transakcje które są oddalone od średniej o więcej niż odchylenie standardowe,\n- `LocationDetector` - który sprawdza dla ustalonego \"session window\" czy w trakcie okna transakcje nie są nadmiarowo oddalone od średniej lokalizacji transakcji w oknie.\n\nAlgorytmy zapisane są w folderze `frauddetection/src/java/spendreport/detectors`.\n\n## [Alerts Reader](alerts-notification-api-py/README.md)\nZczytuje alerty z topicu Kafki `alerts` i przekazuje je klientom nasłuchującym na Websockecie.\n\n## [Dashboard](dashboard/README.md)\nŁączy się z Alerts Reader po Websockecie i na żywo wyświetla alerty oraz zlicza je na wykresie w okienkach 30 sekundowych.\n\n## [Kafka i Kafdrop](kafka/README.md)\nKafka ma dwa topici umożliwiające komunikację. 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