Merge pull request 'feat: Files watching and processing services' from feat/files into dev

.gitignore

@@ -3,3 +3,6 @@ target/
 ### IntelliJ IDEA ###
 .idea/
 *.iml
+
+# local files
+data/

readme.md

@@ -1,7 +1,8 @@
 # Large file reading challenge
 
 Welcome in the recruitment challenge.
-Write an application that, at the endpoint specified by you, returns the yearly average temperatures for a given city in the format array of objects with the following fields: year, averageTemperature.
+Write an application that, at the endpoint specified by you, returns the yearly average temperatures for a given city in
+the format array of objects with the following fields: year, averageTemperature.
 
 ## Assumptions
 
@@ -10,33 +11,40 @@ Write an application that, at the endpoint specified by you, returns the yearly
 - The content of the source file may change during the application's running
 
 ## Example source file
-[example_file.csv](example_file.csv)
 
+[example_file.csv](example_file.csv)
 
 ## Response
 
 ### Schema
+
 [response_schema](schema/response.json)
 
 ### Example
 
 ```json
 [
-  {
-	"year": "2021",
-	"averageTemperature": 12.1
-  },
-  {
-	"year": "2022",
-	"averageTemperature": 11.1
-  },
-  {
-	"year": "2023",
-	"averageTemperature": 14.1
-  }
+    {
+        "year": "2021",
+        "averageTemperature": 12.1
+    },
+    {
+        "year": "2022",
+        "averageTemperature": 11.1
+    },
+    {
+        "year": "2023",
+        "averageTemperature": 14.1
+    }
 ]
 ```
 
+## Configuration
+
+| property      | description                    | default               |
+|---------------|--------------------------------|-----------------------|
+| data.file-url | path to file with temperatures | data/temperatures.csv |
+
 ## Usage
 
 Temperature statistics endpoint: `/api/temperatures/{city}`

schema/response.json

@@ -3,7 +3,7 @@
   "$schema": "http://json-schema.org/draft/2020-12/schema",
   "type": "array",
   "def": {
-    "entry": {
+    "average": {
       "type": "object",
       "properties": {
         "year": {
@@ -20,6 +20,6 @@
     }
   },
   "items": {
-    "$ref": "#/def/entry"
+    "$ref": "#/def/average"
   }
 }

src/main/java/eu/ztsh/lfr/Main.java

@@ -2,8 +2,14 @@ package eu.ztsh.lfr;
 
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
+import org.springframework.boot.context.properties.ConfigurationPropertiesScan;
+import org.springframework.boot.context.properties.EnableConfigurationProperties;
+import org.springframework.scheduling.annotation.EnableAsync;
 
 @SpringBootApplication
+@EnableConfigurationProperties
+@ConfigurationPropertiesScan
+@EnableAsync
 public class Main {
 
     public static void main(String[] args) {

src/main/java/eu/ztsh/lfr/config/DataProperties.java

@@ -0,0 +1,8 @@
+package eu.ztsh.lfr.config;
+
+import org.springframework.boot.context.properties.ConfigurationProperties;
+
+@ConfigurationProperties("data")
+public record DataProperties(String fileUrl) {
+
+}

src/main/java/eu/ztsh/lfr/core/TemperaturesService.java

@@ -1,6 +1,6 @@
 package eu.ztsh.lfr.core;
 
-import eu.ztsh.lfr.model.Entry;
+import eu.ztsh.lfr.model.Average;
 import jakarta.annotation.Nonnull;
 
 import java.util.List;
@@ -8,6 +8,6 @@ import java.util.List;
 public interface TemperaturesService {
 
     @Nonnull
-    List<Entry> getTemperaturesFor(String city);
+    List<Average> getTemperaturesFor(String city);
 
 }

src/main/java/eu/ztsh/lfr/core/impl/TemperaturesServiceImpl.java

@@ -1,7 +1,7 @@
 package eu.ztsh.lfr.core.impl;
 
 import eu.ztsh.lfr.core.TemperaturesService;
-import eu.ztsh.lfr.model.Entry;
+import eu.ztsh.lfr.model.Average;
 import jakarta.annotation.Nonnull;
 import org.springframework.stereotype.Service;
 
@@ -12,7 +12,7 @@ public class TemperaturesServiceImpl implements TemperaturesService {
 
     @Nonnull
     @Override
-    public List<Entry> getTemperaturesFor(String city) {
+    public List<Average> getTemperaturesFor(String city) {
         throw new UnsupportedOperationException("Not supported yet.");
     }
 

src/main/java/eu/ztsh/lfr/core/impl/files/FileLoadingService.java

@@ -0,0 +1,65 @@
+package eu.ztsh.lfr.core.impl.files;
+
+import eu.ztsh.lfr.config.DataProperties;
+import eu.ztsh.lfr.model.DataRow;
+import eu.ztsh.lfr.model.FileProcessingException;
+import eu.ztsh.lfr.model.Temperatures;
+import eu.ztsh.lfr.model.events.FileModifiedEvent;
+import eu.ztsh.lfr.model.events.FileProcessedEvent;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.context.ApplicationEventPublisher;
+import org.springframework.context.event.EventListener;
+import org.springframework.scheduling.annotation.Async;
+import org.springframework.stereotype.Service;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.concurrent.TimeUnit;
+import java.util.function.Predicate;
+import java.util.stream.Stream;
+
+@Service
+public class FileLoadingService {
+
+    private static final Logger log = LoggerFactory.getLogger(FileLoadingService.class);
+    private final DataProperties dataProperties;
+    private final ApplicationEventPublisher eventPublisher;
+
+    @Autowired
+    public FileLoadingService(DataProperties dataProperties, ApplicationEventPublisher eventPublisher) {
+        this.dataProperties = dataProperties;
+        this.eventPublisher = eventPublisher;
+    }
+
+    @Async
+    @EventListener(FileModifiedEvent.class)
+    public void onFileModified() {
+        var start = System.currentTimeMillis();
+        log.debug("Processing file");
+        final Temperatures model = new Temperatures();
+        try (final Stream<String> lines = Files.lines(Paths.get(dataProperties.fileUrl()))) {
+            lines.parallel()
+                .filter(Predicate.not(String::isBlank))
+                .map(line -> {
+                    try {
+                        var parts = line.split(";");
+                        return new DataRow(parts[0], Integer.parseInt(parts[1].split("-")[0]), Double.parseDouble(parts[2]));
+                    } catch (Exception e) {
+                        throw new FileProcessingException("Error in line %s".formatted(line), e);
+                    }
+                })
+                .forEach(model::addData);
+        } catch (IOException e) {
+            throw new FileProcessingException("File error", e);
+        }
+        var millis = System.currentTimeMillis() - start;
+        log.atInfo().setMessage("Elapsed time: {}:{}").addArgument(TimeUnit.MILLISECONDS.toMinutes(millis))
+            .addArgument(() -> String.format("%02d", TimeUnit.MILLISECONDS.toSeconds(millis) % 60))
+            .log();
+        eventPublisher.publishEvent(new FileProcessedEvent(model.getAverages()));
+    }
+
+}

src/main/java/eu/ztsh/lfr/core/impl/files/WatcherService.java

@@ -0,0 +1,77 @@
+package eu.ztsh.lfr.core.impl.files;
+
+import eu.ztsh.lfr.config.DataProperties;
+import eu.ztsh.lfr.model.events.FileModifiedEvent;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.boot.context.event.ApplicationReadyEvent;
+import org.springframework.context.ApplicationEventPublisher;
+import org.springframework.context.event.EventListener;
+import org.springframework.stereotype.Service;
+
+import java.io.IOException;
+import java.nio.file.FileSystems;
+import java.nio.file.Paths;
+import java.nio.file.StandardWatchEventKinds;
+import java.nio.file.WatchKey;
+import java.nio.file.WatchService;
+
+@Service
+public class WatcherService {
+
+    private static final Logger log = LoggerFactory.getLogger(WatcherService.class);
+
+    private final WatchService watchService;
+    private final ApplicationEventPublisher eventPublisher;
+
+    private final String fileName;
+
+    @Autowired
+    public WatcherService(DataProperties dataProperties, ApplicationEventPublisher eventPublisher) throws IOException {
+        this.eventPublisher = eventPublisher;
+        this.watchService = FileSystems.getDefault().newWatchService();
+
+        var filePath = Paths.get(dataProperties.fileUrl());
+        fileName = filePath.getFileName().toString();
+        filePath.getParent().register(
+            watchService,
+            // register file creation as some editors modify files in temp, and then replaces original file.
+            StandardWatchEventKinds.ENTRY_CREATE,
+            StandardWatchEventKinds.ENTRY_MODIFY
+        );
+    }
+
+    @SuppressWarnings("BusyWait")
+    @EventListener(ApplicationReadyEvent.class)
+    public void watch() throws InterruptedException {
+        WatchKey key;
+        while ((key = watchService.take()) != null) {
+            /*
+            When modifying in IntelliJ, one line edit ends with:
+            ENTRY_CREATE: temperatures.csv~
+            ENTRY_MODIFY: temperatures.csv~
+            ENTRY_MODIFY: temperatures.csv~
+            ENTRY_MODIFY: temperatures.csv
+            ENTRY_MODIFY: temperatures.csv
+            ENTRY_MODIFY: temperatures.csv
+            Thread.sleep is used to filter out duplicated events.
+            origin: https://stackoverflow.com/a/25221600
+             */
+            Thread.sleep(50);
+            var maybeLastEvent = key.pollEvents().stream()
+                .filter(event -> event.context() != null)
+                .filter(event -> event.context().toString().endsWith(fileName))
+                .reduce((o1, o2) -> o2);
+            if (maybeLastEvent.isPresent()) {
+                var lastEvent = maybeLastEvent.get();
+                log.info("Got event of kind:{}", lastEvent.kind());
+                eventPublisher.publishEvent(new FileModifiedEvent(System.currentTimeMillis()));
+            } else {
+                log.trace("Got event for not watched file");
+            }
+            key.reset();
+        }
+    }
+
+}

src/main/java/eu/ztsh/lfr/model/Averages.java

@@ -0,0 +1,13 @@
+package eu.ztsh.lfr.model;
+
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+public class Averages extends HashMap<String, List<Average>> {
+
+    public Averages(Map<String, List<Average>> m) {
+        super(m);
+    }
+
+}

src/main/java/eu/ztsh/lfr/model/DataRow.java

@@ -0,0 +1,5 @@
+package eu.ztsh.lfr.model;
+
+public record DataRow(String city, int year, double temperature) {
+
+}

src/main/java/eu/ztsh/lfr/model/FileProcessingException.java

@@ -0,0 +1,9 @@
+package eu.ztsh.lfr.model;
+
+public class FileProcessingException extends RuntimeException {
+
+    public FileProcessingException(String message, Throwable cause) {
+        super(message, cause);
+    }
+
+}

src/main/java/eu/ztsh/lfr/model/Temperatures.java

@@ -0,0 +1,33 @@
+package eu.ztsh.lfr.model;
+
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ConcurrentMap;
+import java.util.stream.Collectors;
+
+public class Temperatures extends ConcurrentHashMap<String, ConcurrentMap<Integer, YearDataAccumulator>> {
+
+    public void addData(DataRow dataRow) {
+        putIfAbsent(dataRow.city(), new ConcurrentHashMap<>());
+        var city = get(dataRow.city());
+        city.putIfAbsent(dataRow.year(), new YearDataAccumulator());
+        city.get(dataRow.year()).add(dataRow.temperature());
+    }
+
+    public Averages getAverages() {
+        var computed = entrySet().stream()
+            .map(entry -> {
+                var newEntry = entry.getValue().entrySet().stream()
+                    .map(yearEntry -> {
+                        var average = new Average();
+                        average.setYear(yearEntry.getKey().toString());
+                        average.setAverageTemperature(yearEntry.getValue().getAverage());
+                        return average;
+                    })
+                    .toList();
+                return Map.entry(entry.getKey(), newEntry);
+            }).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
+        return new Averages(computed);
+    }
+
+}

src/main/java/eu/ztsh/lfr/model/YearDataAccumulator.java

@@ -0,0 +1,25 @@
+package eu.ztsh.lfr.model;
+
+import java.math.BigDecimal;
+import java.math.RoundingMode;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.DoubleAdder;
+
+public class YearDataAccumulator {
+
+    private final DoubleAdder sum = new DoubleAdder();
+    private final AtomicInteger counter = new AtomicInteger();
+
+    public void add(double value) {
+        synchronized (this) {
+            sum.add(value);
+            counter.incrementAndGet();
+        }
+    }
+
+    public BigDecimal getAverage() {
+        return BigDecimal.valueOf(sum.sum()).setScale(2, RoundingMode.HALF_UP)
+            .divide(BigDecimal.valueOf(counter.get()), RoundingMode.HALF_UP);
+    }
+
+}

src/main/java/eu/ztsh/lfr/model/events/FileModifiedEvent.java

@@ -0,0 +1,5 @@
+package eu.ztsh.lfr.model.events;
+
+public record FileModifiedEvent(long timestamp) {
+
+}

src/main/java/eu/ztsh/lfr/model/events/FileProcessedEvent.java

@@ -0,0 +1,7 @@
+package eu.ztsh.lfr.model.events;
+
+import eu.ztsh.lfr.model.Averages;
+
+public record FileProcessedEvent(Averages averages) {
+
+}

src/main/java/eu/ztsh/lfr/web/TemperaturesController.java

@@ -1,7 +1,7 @@
 package eu.ztsh.lfr.web;
 
 import eu.ztsh.lfr.core.TemperaturesService;
-import eu.ztsh.lfr.model.Entry;
+import eu.ztsh.lfr.model.Average;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.http.ResponseEntity;
 import org.springframework.web.bind.annotation.GetMapping;
@@ -23,7 +23,7 @@ public class TemperaturesController {
     }
 
     @GetMapping("/{city}")
-    public ResponseEntity<List<Entry>> getTemperatures(@PathVariable String city) {
+    public ResponseEntity<List<Average>> getTemperatures(@PathVariable String city) {
         var data = temperaturesService.getTemperaturesFor(city);
 
         return data.isEmpty() ? ResponseEntity.notFound().build() : ResponseEntity.ok(data);

src/main/resources/application.yaml

@@ -0,0 +1,2 @@
+data:
+  file-url: data/temperatures.csv

src/test/java/eu/ztsh/lfr/core/impl/files/FileLoadingServiceTest.java

@@ -0,0 +1,62 @@
+package eu.ztsh.lfr.core.impl.files;
+
+import eu.ztsh.lfr.config.DataProperties;
+import eu.ztsh.lfr.model.FileProcessingException;
+import eu.ztsh.lfr.model.events.FileProcessedEvent;
+import org.junit.jupiter.api.Test;
+import org.mockito.ArgumentCaptor;
+import org.mockito.Mockito;
+import org.springframework.context.ApplicationEventPublisher;
+
+import java.io.IOException;
+
+import static org.assertj.core.api.Assertions.assertThat;
+import static org.assertj.core.api.Assertions.assertThatNoException;
+import static org.assertj.core.api.Assertions.assertThatThrownBy;
+
+class FileLoadingServiceTest {
+
+    private final ApplicationEventPublisher eventPublisher = Mockito.mock(ApplicationEventPublisher.class);
+
+    @Test
+    void successfulRunTest() {
+        var captor = ArgumentCaptor.forClass(FileProcessedEvent.class);
+        var service = createFileLoadingService("success.csv");
+        assertThatNoException().isThrownBy(service::onFileModified);
+        Mockito.verify(eventPublisher, Mockito.times(1))
+            .publishEvent(captor.capture());
+        var averages = captor.getValue().averages();
+        assertThat(averages).hasSize(1);
+        var list = averages.get("Warszawa");
+        assertThat(list).hasSize(1);
+        assertThat(list.getFirst()).satisfies(item -> {
+            assertThat(item.getYear()).isEqualTo("2018");
+            // 29.2775, but it is BigDecimal with scale 2 and round half up
+            assertThat(item.getAverageTemperature().doubleValue()).isEqualTo(29.28);
+        });
+    }
+
+    @Test
+    void notExistingFileTest() {
+        var service = createFileLoadingService("not-existing.csv");
+        assertThatThrownBy(service::onFileModified)
+            .isInstanceOf(FileProcessingException.class)
+            .hasRootCauseInstanceOf(IOException.class);
+        Mockito.verifyNoInteractions(eventPublisher);
+    }
+
+    @Test
+    void malformedFileTest() {
+        var service = createFileLoadingService("malformed.csv");
+        assertThatThrownBy(service::onFileModified)
+            .isInstanceOf(FileProcessingException.class)
+            .hasMessage("Error in line Warszawa;2018-09-21 11:17:42.31833.27")
+            .hasRootCauseInstanceOf(ArrayIndexOutOfBoundsException.class);
+        Mockito.verifyNoInteractions(eventPublisher);
+    }
+
+    private FileLoadingService createFileLoadingService(String path) {
+        return new FileLoadingService(new DataProperties("src/test/resources/" + path), eventPublisher);
+    }
+
+}

src/test/resources/malformed.csv

@@ -0,0 +1,4 @@
+Warszawa;2018-09-19 05:17:32.619;9.97
+Warszawa;2018-09-20 18:44:42.468;39.02
+Warszawa;2018-09-21 11:17:42.31833.27
+Warszawa;2018-09-22 19:25:07.568;34.85

src/test/resources/success.csv

@@ -0,0 +1,4 @@
+Warszawa;2018-09-19 05:17:32.619;9.97
+Warszawa;2018-09-20 18:44:42.468;39.02
+Warszawa;2018-09-21 11:17:42.318;33.27
+Warszawa;2018-09-22 19:25:07.568;34.85

util/change-event-creator.py

@@ -0,0 +1,2 @@
+with open('../data/temperatures.csv', 'a', encoding='utf-8') as target:
+    target.write("\n")

util/test-generator.py

@@ -0,0 +1,100 @@
+"""
+Create data in city;yyyy-mm-dd HH:mm:ss.SSS;temp format
+
+Avg line length: ~36 bytes
+Expected output file size: >3 GB -> 3 000 000 000 bytes
+
+Needed lines count = ~83.(3)m
+
+66 district cities * 75 years with measurement twice per hour = 66*75*365*24*2 = 86 724 000 -> ~3.1 GB
+"""
+
+import datetime
+import numpy as np
+
+cities = [
+    "Biała Podlaska",
+    "Białystok",
+    "Bielsko-Biała",
+    "Bydgoszcz",
+    "Bytom",
+    "Chełm",
+    "Chorzów",
+    "Częstochowa",
+    "Dąbrowa Górnicza",
+    "Elbląg",
+    "Gdańsk",
+    "Gdynia",
+    "Gliwice",
+    "Gorzów Wielkopolski",
+    "Grudziądz",
+    "Jastrzębie-Zdrój",
+    "Jaworzno",
+    "Jelenia Góra",
+    "Kalisz",
+    "Katowice",
+    "Kielce",
+    "Konin",
+    "Koszalin",
+    "Kraków",
+    "Krosno",
+    "Legnica",
+    "Leszno",
+    "Lublin",
+    "Łomża",
+    "Łódź",
+    "Mysłowice",
+    "Nowy Sącz",
+    "Olsztyn",
+    "Opole",
+    "Ostrołęka",
+    "Piekary Śląskie",
+    "Piotrków Trybunalski",
+    "Płock",
+    "Poznań",
+    "Przemyśl",
+    "Radom",
+    "Ruda Śląska",
+    "Rybnik",
+    "Rzeszów",
+    "Siedlce",
+    "Siemianowice Śląskie",
+    "Skierniewice",
+    "Słupsk",
+    "Sopot",
+    "Sosnowiec",
+    "Suwałki",
+    "Szczecin",
+    "Świętochłowice",
+    "Świnoujście",
+    "Tarnobrzeg",
+    "Tarnów",
+    "Toruń",
+    "Tychy",
+    "Wałbrzych",
+    "Włocławek",
+    "Wrocław",
+    "Zabrze",
+    "Zamość",
+    "Zielona Góra",
+    "Żory"
+]
+
+begin_date = datetime.datetime(year=1949, month=1, day=1, hour=0, minute=0, second=0)
+end_date = begin_date + datetime.timedelta(days=365 * 75)
+
+
+generator = np.random.default_rng(790492283396)
+batch = iter(generator.integers(low=-1500, high=3500, size=66*75*365*24*2))
+
+start = datetime.datetime.now()
+with open('../data/temperatures.csv', 'w', encoding='utf-8') as target:
+    for city in cities:
+        print(city)
+        now = begin_date
+        while now < end_date:
+            target.write("{};{}.000;{}\n".format(city, now, int(next(batch)) / 100.0))
+            now += datetime.timedelta(minutes=30)
+
+end = datetime.datetime.now()
+print("Completed in {}".format(end - start))