Merge pull request GeoNode#102 from kartoza/geosafe

Geosafe - Impact Summary

geonode/layers/utils.py

@@ -177,6 +177,20 @@ def get_files(filename):
                    'distinct by spelling and not just case.') % filename
             raise GeoNodeException(msg)
 
+    if 'geosafe' in settings.INSTALLED_APPS:
+        matches = glob.glob(glob_name + ".[jJ][sS][oO][nN]")
+        logger.debug('Checking JSON file')
+        logger.debug('Number of matches JSON file : %s' % len(matches))
+        logger.debug('glob name: %s' % glob_name)
+        if len(matches) == 1:
+            files['json'] =matches[0]
+        elif len(matches) > 1:
+            msg = ('Multiple impact summary report (json) for %s exist; '
+                   'they need to be distinct by spelling and not just case.'
+                   ) % filename
+            raise GeoNodeException(msg)
+
+
     return files
 
 

geosafe/helpers/__init__.py

@@ -0,0 +1,5 @@
+# coding=utf-8
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+
+__date__ = '5/17/16'

geosafe/helpers/impact_summary/__init__.py

@@ -0,0 +1,5 @@
+# coding=utf-8
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+
+__date__ = '5/17/16'

geosafe/helpers/impact_summary/landcover_summary.py

@@ -0,0 +1,48 @@
+# coding=utf-8
+from collections import OrderedDict
+
+from geosafe.helpers.impact_summary.summary_base import ImpactSummary
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+__date__ = '5/18/16'
+
+
+class StructureSummary(ImpactSummary):
+
+    def total(self):
+        return self.total_buildings()
+
+    def total_buildings(self):
+        return self.summary_dict().get('Total')
+
+    def total_affected(self):
+        if 'Affected buildings' in self.summary_dict().keys():
+            return self.summary_dict().get('Affected buildings')
+        elif 'Not affected buildings' in self.summary_dict().keys():
+            not_affected = self.summary_dict().get('Not affected buildings')
+            return int(self.total_buildings()) - int(not_affected)
+
+    def breakdown_dict(self):
+        ret_val = OrderedDict()
+        for key, value in self.summary_dict().iteritems():
+            contain_total = 'total' in key.lower()
+            contain_affected = 'affected' in key.lower()
+            contain_not = 'not' in key.lower()
+            if contain_total or (contain_affected and not contain_not):
+                continue
+
+            ret_val[key] = int(value)
+        return ret_val
+
+    def category_css_class(self, category):
+        css_class = ImpactSummary.category_css_class(category)
+        if not css_class:
+            if 'flood' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'dry' in category.lower():
+                css_class = 'hazard-category-low'
+            elif 'wet' in category.lower():
+                css_class = 'hazard-category-medium'
+            elif 'radius' in category.lower():
+                css_class = 'hazard-category-high'
+        return css_class

geosafe/helpers/impact_summary/polygon_people_summary.py

@@ -0,0 +1,54 @@
+# coding=utf-8
+from collections import OrderedDict
+
+from geosafe.helpers.impact_summary.summary_base import ImpactSummary
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+__date__ = '5/18/16'
+
+
+class PolygonPeopleSummary(ImpactSummary):
+
+    def total(self):
+        return self.total_people()
+
+    def total_people(self):
+        return int(self.summary_dict().get('Total people'))
+
+    def total_affected(self):
+        if 'Total affected people' in self.summary_dict().keys():
+            return int(self.summary_dict().get('Total affected people'))
+        return 0
+
+    def breakdown_dict(self):
+        ret_val = OrderedDict()
+        for key, value in self.summary_dict().iteritems():
+            contain_total = 'total' in key.lower()
+            contain_affected = 'affected' in key.lower()
+            contain_not = 'not' in key.lower()
+            contain_unaffected = 'unaffected' in key.lower()
+            if (contain_total or
+                    (contain_affected and
+                         not contain_not and
+                         not contain_unaffected)):
+                continue
+
+            ret_val[key] = int(value)
+        return ret_val
+
+    def category_css_class(self, category):
+        css_class = ImpactSummary.category_css_class(category)
+        if not css_class:
+            if 'people' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'fatalities' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'displaced' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'affected' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'floodprone' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'radius' in category.lower():
+                css_class = 'hazard-category-high'
+        return css_class

geosafe/helpers/impact_summary/population_summary.py

@@ -0,0 +1,54 @@
+# coding=utf-8
+from collections import OrderedDict
+
+from geosafe.helpers.impact_summary.summary_base import ImpactSummary
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+__date__ = '5/18/16'
+
+
+class PopulationSummary(ImpactSummary):
+
+    def total(self):
+        return self.total_populations()
+
+    def total_populations(self):
+        return self.summary_dict().get('Total population')
+
+    def total_affected(self):
+        if 'Total affected population' in self.summary_dict().keys():
+            return int(self.summary_dict().get('Total affected population'))
+        return 0
+
+    def breakdown_dict(self):
+        ret_val = OrderedDict()
+        for key, value in self.summary_dict().iteritems():
+            contain_total = 'total' in key.lower()
+            contain_affected = 'affected' in key.lower()
+            contain_not = 'not' in key.lower()
+            contain_unaffected = 'unaffected' in key.lower()
+            if (contain_total or
+                    (contain_affected and
+                         not contain_not and
+                         not contain_unaffected)):
+                continue
+
+            ret_val[key] = int(value)
+        return ret_val
+
+    def category_css_class(self, category):
+        css_class = ImpactSummary.category_css_class(category)
+        if not css_class:
+            if 'people' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'fatalities' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'displaced' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'affected' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'floodprone' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'radius' in category.lower():
+                css_class = 'hazard-category-high'
+        return css_class

geosafe/helpers/impact_summary/road_summary.py

@@ -0,0 +1,55 @@
+# coding=utf-8
+from collections import OrderedDict
+
+from geosafe.helpers.impact_summary.summary_base import ImpactSummary
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+__date__ = '6/13/16'
+
+
+class RoadSummary(ImpactSummary):
+
+    def total(self):
+        return self.total_roads()
+
+    def total_roads(self):
+        for idx, val in enumerate(self.summary_attributes()):
+            if 'total' in val.lower():
+                if self.is_summary_exists():
+                    return int(self.impact_data.get('impact summary').get(
+                        'fields')[0][idx])
+        return 0
+
+    def total_affected(self):
+        lowercase_keys = [k.lower() for k in self.summary_attributes()]
+        for idx, val in enumerate(lowercase_keys):
+            if 'flooded' in val or 'closed' in val:
+                return int(self.impact_data.get('impact summary').get(
+                    'fields')[0][idx])
+        return 0
+
+    def breakdown_dict(self):
+        ret_val = OrderedDict()
+        for idx, key in enumerate(self.summary_attributes()):
+            contain_total = 'total' in key.lower()
+            contain_affected = 'affected' in key.lower()
+            contain_not = 'not' in key.lower()
+            contain_unaffected = 'unaffected' in key.lower()
+            if (contain_total or
+                    (contain_affected and
+                         not contain_not and
+                         not contain_unaffected)):
+                continue
+
+            ret_val[key] = int(self.impact_data.get('impact summary').get(
+                'fields')[0][idx])
+        return ret_val
+
+    def category_css_class(self, category):
+        css_class = ImpactSummary.category_css_class(category)
+        if not css_class:
+            if 'closed' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'flooded' in category.lower():
+                css_class = 'hazard-category-high'
+        return css_class

geosafe/helpers/impact_summary/structure_summary.py

@@ -0,0 +1,48 @@
+# coding=utf-8
+from collections import OrderedDict
+
+from geosafe.helpers.impact_summary.summary_base import ImpactSummary
+
+__author__ = 'Rizky Maulana Nugraha <[email protected]>'
+__date__ = '5/18/16'
+
+
+class StructureSummary(ImpactSummary):
+
+    def total(self):
+        return self.total_buildings()
+
+    def total_buildings(self):
+        return self.summary_dict().get('Total')
+
+    def total_affected(self):
+        if 'Affected buildings' in self.summary_dict().keys():
+            return self.summary_dict().get('Affected buildings')
+        elif 'Not affected buildings' in self.summary_dict().keys():
+            not_affected = self.summary_dict().get('Not affected buildings')
+            return int(self.total_buildings()) - int(not_affected)
+
+    def breakdown_dict(self):
+        ret_val = OrderedDict()
+        for key, value in self.summary_dict().iteritems():
+            contain_total = 'total' in key.lower()
+            contain_affected = 'affected' in key.lower()
+            contain_not = 'not' in key.lower()
+            if contain_total or (contain_affected and not contain_not):
+                continue
+
+            ret_val[key] = int(value)
+        return ret_val
+
+    def category_css_class(self, category):
+        css_class = ImpactSummary.category_css_class(category)
+        if not css_class:
+            if 'flood' in category.lower():
+                css_class = 'hazard-category-high'
+            elif 'dry' in category.lower():
+                css_class = 'hazard-category-low'
+            elif 'wet' in category.lower():
+                css_class = 'hazard-category-medium'
+            elif 'radius' in category.lower():
+                css_class = 'hazard-category-high'
+        return css_class