Initial Commit

src/com/flaremicro/visualforecast/datamart/CanadaDatamartProvider.java

@@ -0,0 +1,92 @@
+package com.flaremicro.visualforecast.datamart;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.net.URL;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashSet;
+
+import com.flaremicro.util.Util;
+import com.flaremicro.visualforecast.PropertyManager;
+import com.flaremicro.visualforecast.api.ForecastProvider;
+import com.flaremicro.visualforecast.forecast.ForecastDetails;
+
+public class CanadaDatamartProvider extends ForecastProvider {
+	boolean ready = false;
+	PropertyManager propertyManager;
+	ForecastProcessor forecastProcessor;
+
+	ArrayList<TownInfo> towns = new ArrayList<TownInfo>();
+
+	@Override
+	public void init() {
+		propertyManager = super.getOwnPropertyManager();
+		String byCode = propertyManager.getString("towns-by-code", "").toLowerCase();
+		String byNameAndProvince = propertyManager.getString("towns-by-name-and-province", "").toLowerCase();
+		
+		if(byCode.isEmpty() && byNameAndProvince.isEmpty())
+		{
+			ready = true;
+			return;
+		}
+		
+		BufferedReader bufferedReader = null;
+		try
+		{
+			HashSet<String> byCodes = new HashSet<String>(Arrays.asList(byCode.split(",")));
+			HashSet<String> byNameAndProvinces = new HashSet<String>(Arrays.asList(byNameAndProvince.split(";")));
+			URL url = new URL("https://dd.weather.gc.ca/citypage_weather/docs/site_list_towns_en.csv");
+			bufferedReader = new BufferedReader(new InputStreamReader(url.openStream()));
+			String line;
+			int skip = 2;
+			while ((line = bufferedReader.readLine()) != null)
+			{
+				if (skip > 0)
+				{
+					skip--;
+					continue;
+				}
+				String[] data = line.trim().split(",");
+				if (byCodes.contains(data[0].toLowerCase()) || byNameAndProvinces.contains(data[1].toLowerCase() + "," + data[2].toLowerCase()))
+				{
+					String code = data[0].trim();
+					String town = data[1].trim();
+					String province = data[2].trim();
+					float latitude = Float.parseFloat(data[3].trim().substring(0, data[3].length()-1));
+					float longitude = Float.parseFloat(data[4].trim().substring(0, data[4].length()-1));
+					towns.add(new TownInfo(code, town, province, latitude, longitude));
+				}
+			}
+		}
+		catch (IOException e)
+		{
+			e.printStackTrace();
+			ready = true;
+		}
+		finally
+		{
+			Util.cleanClose(bufferedReader);
+		}
+		forecastProcessor = new ForecastProcessor(towns.toArray(new TownInfo[0]));
+		forecastProcessor.processForecasts();
+		ready = true;
+	}
+
+	@Override
+	public ForecastDetails getForecast() {
+		return forecastProcessor.getMostRecentForecast();
+	}
+
+	@Override
+	public boolean isForecastReady() {
+		return ready;
+	}
+
+	@Override
+	public void deinit() {
+		propertyManager.store();
+	}
+
+}