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contribution_analysis.py
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contribution_analysis.py
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import xml.etree.ElementTree as ET
import geopy.distance as distance
import pandas as pd
from osm_mappers import *
from os import path
from geojson import FeatureCollection,Feature,Point,LineString,MultiLineString,Polygon
def open_xml(path):
xml_reader = ET.parse(path)
return xml_reader
def parse_attributes(xml):
attributes = {}
for i in xml:
attributes[i.attrib['k']] = i.attrib['v']
return attributes
def diff_attributes(old,new):
sum_attributes = []
diff = list(set(old.keys()).symmetric_difference(set(new.keys())))
all_keys = list(old.keys())+list(new.keys())
duplicates = list(set([x for x in all_keys if all_keys.count(x) > 1]))
for i in duplicates:
if old[i] != new[i]:
diff.append(i)
return diff
def parse_geom(geom_xml,geom_type,modification_type):
coordinates = []
if geom_type == 'line' or geom_type == 'polygon':
for i in geom_xml.findall('./nd'):
coordinates.append((float(i.attrib['lon']),float(i.attrib['lat'])))
if geom_type == 'line':
geometry = Feature(geometry=LineString(coordinates))
geometry['properties']['modification_type'] = modification_type
if geom_type == 'polygon':
geometry = Feature(geometry=Polygon([list(reversed(coordinates))]))
geometry['properties']['modification_type'] = modification_type
dist = distance.distance(*coordinates).meters
else:
coordinates = [geom_xml.attrib['lon'],geom_xml.attrib['lat']]
dist = 0
geometry = Feature(geometry=Point((float(geom_xml.attrib['lon']),float(geom_xml.attrib['lat']))))
geometry['properties']['modification_type'] = modification_type
return coordinates, dist, geometry
def contributions_by_mapper(geoms_features, mapper, geom_type, xml_file, total_count, reached_points_mappers, total_count_attributes):
#All modified features will be analyzed
list_modified_keys = []
count_modified = 0
count_deleted = 0
count_created = 0
total_length = 0
type_translation = {"point":"node","line":"way","polygon":"way"}
feature_type = type_translation[geom_type]
for feature in xml_file.findall("./*[@type='modify']"):
new_feature = feature.find("./new/"+feature_type)
if new_feature == None:
print('Cannot analyze this feature!')
continue
if new_feature.attrib['user'] == mapper:
count_modified += 1
old_feature = feature.find("./old/"+feature_type)
attributes_old = parse_attributes(old_feature.findall('./tag'))
attributes_new = parse_attributes(new_feature.findall('./tag'))
geom_old = parse_geom(old_feature,geom_type,'modified')
geom_new = parse_geom(new_feature,geom_type,'modified')
diff_attrib = diff_attributes(attributes_old,attributes_new)
geoms_features.append(geom_new[2])
if geom_old[0] != geom_new[0]:
diff_attrib.append('geometry')
diff_attrib.append(geom_new[1])
list_modified_keys = list_modified_keys + diff_attrib[:-1]
d = {"attributes":list_modified_keys}
df_attrib = pd.DataFrame(data=d)
for feature in xml_file.findall("./*[@type='delete']"):
if feature.find("./old/"+feature_type).attrib['user'] == None:
print('Cannot analyze this feature!')
continue
if feature.find("./old/"+feature_type).attrib['user'] == mapper:
count_deleted += 1
if not df_attrib.empty:
df_attrib = df_attrib.groupby('attributes').size().to_frame()
total_count_attributes = total_count_attributes.append(df_attrib)
df_attrib['Mapper'] = mapper
df_attrib.to_csv('results/'+geom_type+'_changed_attributes.csv',mode='a',header=False)
#All created features will be analyzed
for feature in xml_file.findall("./*[@type='create']"):
new_feature = feature.find("./"+feature_type)
if new_feature == None:
print('Cannot analyze this feature!')
continue
if new_feature.attrib['user'] == mapper:
count_created += 1
geom_new = parse_geom(new_feature,geom_type,'new')
dist = geom_new[1]
geoms_features.append(geom_new[2])
total_length = total_length + dist
reached_points = points_mapping_contest["modified"] *count_modified +points_mapping_contest["created"] * count_created +points_mapping_contest["deleted"] * count_deleted
with open('results/'+geom_type+'_count_features.csv','a') as fd:
fd.write(mapper+',modified_features,'+str(count_modified)+'\n')
fd.write(mapper+',deleted_features,'+str(count_deleted)+'\n')
fd.write(mapper+',created_features,'+str(count_created)+'\n')
fd.write(mapper+',total_size,'+str(total_length)+'\n')
fd.write(mapper+',reached_points,'+str(reached_points)+'\n')
total_count[geom_type]["count_modified"] += count_modified
total_count[geom_type]["count_deleted"] += count_deleted
total_count[geom_type]["count_created"] += count_created
reached_points_mappers[mapper] = reached_points_mappers[mapper] + reached_points
return geoms_features, total_count, reached_points_mappers, total_count_attributes
osm_mappers = list(dict.fromkeys(contributors))
reached_points_mappers = dict.fromkeys(contributors,0)
total_count_attributes = pd.DataFrame()
total_count = {"line":{"count_modified":0,"count_deleted":0,"count_created":0},"point":{"count_modified":0,"count_deleted":0,"count_created":0}, "polygon":{"count_modified":0,"count_deleted":0,"count_created":0}}
for geom_type in ['point','line','polygon']:
f_path = 'changesets/%s.osm' % geom_type
xml_file = open_xml(f_path)
geoms_features = []
with open('results/'+geom_type+'_changed_attributes.csv','w') as fd:
fd.write('attribute,count,mapper\n')
with open('results/'+geom_type+'_count_features.csv','w') as fd:
fd.write('mapper,edit_type,count\n')
for mapper in osm_mappers:
geoms_features, total_count, reached_points_mappers, total_count_attributes = contributions_by_mapper(geoms_features, mapper, geom_type, xml_file, total_count, reached_points_mappers, total_count_attributes)
total_count_attributes.groupby('attributes').sum().to_csv('results/%s_total_count_attributes.csv' % geom_type,mode='w')
with open('results/%s_geometries.geojson' % geom_type,'w') as geoms:
geoms.write(str(FeatureCollection(geoms_features)))
pd.DataFrame.from_dict(total_count).to_csv('results/total_count.csv',mode='w')
pd.Series(reached_points_mappers).to_csv('results/reached_points_mappers.csv',mode='w')