Baseline methods and structure to calculate life quality.

Impact.py

@@ -0,0 +1,9 @@
+from enum import Enum
+
+
+class Impact(Enum):
+    BLOCKER = -2
+    NEGATIVE = -1
+    NEUTRAL = 0
+    POSITIVE = 1
+    PERFECT = 2

calculate_life_quality_measure.py

@@ -1,3 +1,179 @@
-from elasticsearch import Elasticsearch
+import numpy
 
-es = Elasticsearch()
+from Impact import Impact
+
+
+# Category Weather, Temperature
+def impact_weather_temperature(value):
+    if value >= 0 and value <= 30:
+        return Impact.POSITIVE.value
+    else:
+        return Impact.NEGATIVE.value
+
+
+# Category Traffic
+def impact_traffic(value):
+    if value >= 0 and value <= 9:
+        return Impact.PERFECT.value
+    elif value >= 10 and value <= 19:
+        return Impact.POSITIVE.value
+    elif value >= 20 and value <= 29:
+        return Impact.NEUTRAL.value
+    elif value >= 30 and value <= 39:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+# Category Noise
+def impact_noise(value):
+    if value >= 0 and value <= 33:
+        return Impact.PERFECT.value
+    elif value >= 34 and value <= 42:
+        return Impact.POSITIVE.value
+    elif value >= 43 and value <= 51:
+        return Impact.NEUTRAL.value
+    elif value >= 52 and value <= 60:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+# Category AIR, Measure PM2.5
+def impact_air_pm25(value):
+    if value >= 0 and value <= 15.4:
+        return Impact.PERFECT.value
+    elif value >= 15.5 and value <= 40.4:
+        return Impact.POSITIVE.value
+    elif value >= 40.5 and value <= 65.4:
+        return Impact.NEUTRAL.value
+    elif value >= 65.5 and value <= 150.4:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+# Category AIR, Measure PM10
+def impact_air_pm10(value):
+    if value >= 0 and value <= 54:
+        return Impact.PERFECT.value
+    elif value >= 55 and value <= 154:
+        return Impact.POSITIVE.value
+    elif value >= 155 and value <= 254:
+        return Impact.NEUTRAL.value
+    elif value >= 255 and value <= 354:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+# Category AIR, Measure CO2
+def impact_air_co2(value):
+    if value >= 0 and value <= 350:
+        return Impact.PERFECT.value
+    elif value >= 351 and value <= 599:
+        return Impact.POSITIVE.value
+    elif value >= 600 and value <= 999:
+        return Impact.NEUTRAL.value
+    elif value >= 1000 and value <= 1199:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+# Category AIR, Measure O3
+def impact_air_o3(value):
+    if value >= 0 and value <= 50:
+        return Impact.PERFECT.value
+    elif value >= 51 and value <= 98:
+        return Impact.POSITIVE.value
+    elif value >= 99 and value <= 118:
+        return Impact.NEUTRAL.value
+    elif value >= 119 and value <= 392:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+# Category AIR, Measure NO2
+def impact_air_no2(value):
+    if value >= 0 and value <= 42:
+        return Impact.PERFECT.value
+    elif value >= 43 and value <= 94:
+        return Impact.POSITIVE.value
+    elif value >= 95 and value <= 295:
+        return Impact.NEUTRAL.value
+    elif value >= 296 and value <= 667:
+        return Impact.NEGATIVE.value
+    else:
+        return Impact.BLOCKER.value
+
+
+def main():
+    # Distances in KM
+    config = {
+        'air': {
+            'distance': 2,
+            'weight': 0.1
+        },
+        'weather': {
+            'distance': 2,
+            'weight': 0.1
+        },
+        'traffic': {
+            'distance': 3,
+            'weight': 0.1
+        },
+        'noise': {
+            'distance': 2,
+            'weight': 0.1
+        },
+        'transports': {
+            'distance': 1,
+            'weight': 0.1
+        },
+        'risks': {
+            'distance': 2,
+            'weight': 0.1
+        },
+        'markets': {
+            'distance': 1.5,
+            'weight': 0.1
+        },
+        'schools': {
+            'distance': 1.5,
+            'weight': 0.1
+        },
+        'health': {
+            'distance': 1.5,
+            'weight': 0.1
+        },
+        'greenzones': {
+            'distance': 1.5,
+            'weight': 0.1
+        },
+        'bairros': {
+            'distance': 2,
+            'weight': 0.1
+        }
+    }
+
+    # es = Elasticsearch()
+    print(impact_air_co2(500))
+    print(config['air']['distance'])
+
+    # 200mx200m
+    # Left Top: 41.188843, -8.712637
+    # Left Bottom: 41.131386, -8.712680
+    # Right Top: 41.208026, -8.559292
+    # Right Bottom: 41.135018, -8.558663
+    i = 0
+    for lat in numpy.arange(41.131386, 41.208026, 0.0018):
+        for long in numpy.arange(-8.712680, -8.558663, 0.0025):
+            i = i + 1
+            print("%s, %s" % (lat, long))
+
+    print(i)
+
+
+main()

dependencies.sh

@@ -1,3 +1,3 @@
 #!/usr/bin/env bash
-pip3 install -r requirements.txt --user
+pip3 install -r requirements/dev.txt --user