如果二級標記「k」值包含存在問題的字元，則應忽略
如果二級標記「k」值以「addr:」開頭，則應新增到字典「address」中
如果二級標記「k」值不是以「addr:」開頭，但是包含「:」，你可以按照自己認為最合適的方式進行處理。例如，你可以將其拆分為二級字典，例如包含「addr:」，或者轉換「:」以建立有效的鍵。
如果有第二個用於區分街道型別/方向的「:」，則應該忽略該標記，例如
lower = re.compile(r'^([a-z]|_)*$')
lower_colon = re.compile(r'^([a-z]|_)*:([a-z]|_)*$')
problemchars = re.compile(r'[=\+/&<>;\'"\?%#$@\,\. \t\r\n]')
created = [ "version", "changeset", "timestamp", "user", "uid"]
def shape_element(element):
node = {}
pos =
node_refs =
created = {}
address = {}
if element.tag == "node" or element.tag == "way" :
temp = {}
temp = element.attrib
if element.tag == "node":
node['id'] = temp['id']
node['type'] = element.tag
try:
node['visible'] = temp['visible']
except:pass
node['pos'] = pos
created[created[0]] = temp['version']
created[created[1]] = temp['changeset']
created[created[2]] = temp['timestamp']
created[created[3]] = temp['user']
created[created[4]] = temp['uid']
node['created'] = created
for item1 in element:
if re.search(problemchars,item1.get('k')) == none:
if re.search('addr:',item1.get('k')) == none:
if re.search('amenity',item1.get('k')) != none:
node['amenity'] = item1.get('v')
elif re.search('cuisine',item1.get('k')) != none:
node['cuisine'] = item1.get('v')
elif re.search('name',item1.get('k')) != none:
node['name'] = item1.get('v')
elif re.search('phone',item1.get('k')) != none:
node['phone'] = item1.get('v')
else:pass
else:
if re.search(r'housenumber$',item1.get('k')) != none:
address['housenumber'] = item1.get('v')
elif re.search(r'postcode$',item1.get('k')) != none:
address['postcode'] = item1.get('v')
elif re.search(r'street$',item1.get('k')) != none:
address['street'] = item1.get('v')
else:pass
else:
print(re.search(problemchars,item1.get('k')))
continue
if len(address) != 0:
node['address'] = address
else:
pass
else:
node['id'] = temp['id']
node['type'] = element.tag
node['visible'] = temp['visible']
created[created[0]] = temp['version']
created[created[1]] = temp['changeset']
created[created[2]] = temp['timestamp']
created[created[3]] = temp['user']
created[created[3]] = temp['uid']
node['created'] = created
for item in element:
if item.tag == 'nd':
else:
if re.search('addr:',item.get('k')) == none:
pass
else:
if re.search(r'housenumber$',item.get('k')) != none:
address['housenumber'] = item.get('v')
elif re.search(r'postcode$',item.get('k')) != none:
address['postcode'] = item.get('v')
elif re.search(r'street$',item.get('k')) != none:
address['street'] = item.get('v')
print(address['street'])
else:pass
node['node_refs'] = node_refs
if len(address) != 0:
node['address'] = address
else:
pass
#print(item.tag)
#print("el",temp)
#print('node',node)
# your code here
return node
else:
return none
def process_map(file_in, pretty = false):
# you do not need to change this file
file_out = ".json".format(file_in)
data =
with codecs.open(file_out, "w") as fo:
for _, element in et.iterparse(file_in):
el = shape_element(element)
if el:
if pretty:
fo.write(json.dumps(el, indent=2)+"\n")
else:
fo.write(json.dumps(el) + "\n")
return data
def test():
# note: if you are running this code on your computer, with a larger dataset,
# call the process_map procedure with pretty=false. the pretty=true option adds
# additional spaces to the output, ****** it significantly larger.
data = process_map('example.osm', true)
pprint.pprint(data[-1])
correct_first_elem =
}assert data[0] == correct_first_elem
assert data[-1]["address"] ==
assert data[-1]["node_refs"] == [ "2199822281", "2199822390", "2199822392", "2199822369",
"2199822370", "2199822284", "2199822281"]
if __name__ == "__main__":
test()
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