def handle(self, *args, **options):
print('Load cities')
City.objects.all().delete()
for item in cities:
c = City()
c.name = item
c.save()
print('Saving...%s' % item)
def proccess_file(filename):
document = openpyxl.load_workbook(filename, data_only=True)
sheet = document.get_sheet_by_name('Hoja 1')
cities = []
for cont, row in enumerate(sheet.iter_rows(min_row=2)):
cities.append(City(
name=row[0].value.strip().capitalize(),
code=row[0].value.strip()
))
City.objects.bulk_create(cities)
def read_csv(source):
#for reading unicode
#f = codecs.open(source, 'r', encoding='utf-8')
city_options = City.objects.filter(tag="ann_arbor")
print len(city_options)
if not len(city_options):
city = City()
city.name = "Ann Arbor"
city.tag = to_tag(city.name)
city.save()
else:
city = city_options[0]
print city
#TODO:
#setup FeedInfo item
#and also create a Source item
permit_sub_types = []
status_types = []
building_nums = []
applicants = []
managers = []
cache_file = "%s.json" % city.tag
cache_destination = os.path.join(os.path.dirname(source), cache_file)
#keep a local copy of data we've processed...
#this should help with subsequent calls
#to make sure we don't need to duplicate calls to remote geolocation APIs:
local_cache = load_json(cache_destination, create=True)
if not local_cache.has_key('buildings'):
local_cache['buildings'] = {}
if not local_cache.has_key('parcels'):
local_cache['parcels'] = {}
locations = {}
for key, value in local_cache['buildings'].items():
locations[key] = Location(value)
#geocoder helper:
geo = Geo()
#with open('eggs.csv', 'rb') as csvfile:
with codecs.open(source, 'rb', encoding='utf-8') as csvfile:
#reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
reader = csv.reader(csvfile)
#just print the first row:
print '>, <'.join(reader.next())
count = 0
for row in reader:
count += 1
#could exit out early here, if needed
if count > 10:
pass
print row
#type of building (eg: sf attached, duplex, etc)
permit_id = row[0]
#should always be "RENTAL" (don't need to track this one)
permit_type = row[1]
if not permit_type == "RENTAL" and not permit_type == "MECHANICAL":
raise ValueError, "Unexpected permit type: %s in row: %s" % (
permit_type, row)
sub_type = row[2]
#can use this to filter out non-rental or obsolete entries
#don't need to track otherwise:
status = row[3]
parcel_id = row[4]
address = row[5]
#should be fixed per source:
city = row[6]
if not ((city.lower() == 'ann arbor') or (city == '')):
raise ValueError, "Unexpected city: %s" % (city)
sqft = row[7]
number_of_buildings = row[8]
applicant_name = row[9]
number_of_stories = row[10]
number_of_units = row[11]
if (not status in ['EXPIRED', 'CLOSED']) and (permit_type
in ['RENTAL']):
#check if we've started processing any results for this row
#if local_cache['buildings'].has_key(address.upper()):
# local_cache_cur = local_cache['buildings'][address.upper()]
#else:
# local_cache_cur = {}
if locations.has_key(address.upper()):
location = locations[address.upper()]
else:
location = Location()
#do some geocoding, as needed:
search = "%s, Ann Arbor MI" % address.upper()
for source in location.sources:
geo.lookup(search, source, location)
location.address_alt = search
locations[address.upper()] = location
#local_cache['buildings'][address.upper()] = local_cache_cur
#and check if a previous building object in the db exists
#CREATE A NEW BUILDING OBJECT HERE
#cur_building = Building()
bldg = Building()
bldg.type = sub_type
#back it up for later
local_cache['buildings'] = {}
for key, value in locations.items():
local_cache['buildings'][key] = value.to_dict()
save_json(cache_destination, local_cache)
#exit()
#THE FOLLOWING ARE FOR INFORMATIONAL PURPOSES ONLY
#(to see what data is available)
if not status in status_types:
#print "adding: %s" % sub_type
status_types.append(status)
if not sub_type in permit_sub_types:
#print "adding: %s" % sub_type
permit_sub_types.append(sub_type)
building_num = row[8]
if not building_num in building_nums:
#print "adding: %s" % sub_type
building_nums.append(building_num)
applicant = row[9]
if (re.search('MGMT', applicant) or re.search('REALTY', applicant)
or re.search('PROPERTIES', applicant)
or re.search('MANAGEMENT', applicant)
or re.search('GROUP', applicant)
or re.search('LLC', applicant)
or re.search('L.L.C.', applicant)
or re.search('INC', applicant)):
if not applicant in managers:
managers.append(applicant)
else:
if not applicant in applicants:
applicants.append(applicant)
#print ', '.join(row)
#print
## print permit_sub_types
print status_types
print building_nums
save_results(locations)
def read_csv(source):
#for reading unicode
#f = codecs.open(source, 'r', encoding='utf-8')
city_options = City.objects.filter(tag="ann_arbor")
print len(city_options)
if not len(city_options):
city = City()
city.name = "Ann Arbor"
city.tag = to_tag(city.name)
city.save()
else:
city = city_options[0]
print city
#TODO:
#setup FeedInfo item
#and also create a Source item
permit_sub_types = []
status_types = []
building_nums = []
applicants = []
managers = []
cache_file = "%s.json" % city.tag
cache_destination = os.path.join(os.path.dirname(source), cache_file)
#keep a local copy of data we've processed...
#this should help with subsequent calls
#to make sure we don't need to duplicate calls to remote geolocation APIs:
local_cache = load_json(cache_destination, create=True)
if not local_cache.has_key('buildings'):
local_cache['buildings'] = {}
if not local_cache.has_key('parcels'):
local_cache['parcels'] = {}
locations = {}
for key, value in local_cache['buildings'].items():
locations[key] = Location(value)
#geocoder helper:
geo = Geo()
#with open('eggs.csv', 'rb') as csvfile:
with codecs.open(source, 'rb', encoding='utf-8') as csvfile:
#reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
reader = csv.reader(csvfile)
#just print the first row:
print '>, <'.join(reader.next())
count = 0
for row in reader:
count += 1
#could exit out early here, if needed
if count > 10:
pass
print row
#type of building (eg: sf attached, duplex, etc)
permit_id = row[0]
#should always be "RENTAL" (don't need to track this one)
permit_type = row[1]
if not permit_type == "RENTAL" and not permit_type == "MECHANICAL":
raise ValueError, "Unexpected permit type: %s in row: %s" % (
permit_type, row)
sub_type = row[2]
#can use this to filter out non-rental or obsolete entries
#don't need to track otherwise:
status = row[3]
parcel_id = row[4]
address = row[5]
#should be fixed per source:
city = row[6]
if not ( (city.lower() == 'ann arbor') or (city == '') ):
raise ValueError, "Unexpected city: %s" % (city)
sqft = row[7]
number_of_buildings = row[8]
applicant_name = row[9]
number_of_stories = row[10]
number_of_units = row[11]
if (not status in ['EXPIRED', 'CLOSED']) and (permit_type in ['RENTAL']):
#check if we've started processing any results for this row
#if local_cache['buildings'].has_key(address.upper()):
# local_cache_cur = local_cache['buildings'][address.upper()]
#else:
# local_cache_cur = {}
if locations.has_key(address.upper()):
location = locations[address.upper()]
else:
location = Location()
#do some geocoding, as needed:
search = "%s, Ann Arbor MI" % address.upper()
for source in location.sources:
geo.lookup(search, source, location)
location.address_alt = search
locations[address.upper()] = location
#local_cache['buildings'][address.upper()] = local_cache_cur
#and check if a previous building object in the db exists
#CREATE A NEW BUILDING OBJECT HERE
#cur_building = Building()
bldg = Building()
bldg.type = sub_type
#back it up for later
local_cache['buildings'] = {}
for key, value in locations.items():
local_cache['buildings'][key] = value.to_dict()
save_json(cache_destination, local_cache)
#exit()
#THE FOLLOWING ARE FOR INFORMATIONAL PURPOSES ONLY
#(to see what data is available)
if not status in status_types:
#print "adding: %s" % sub_type
status_types.append(status)
if not sub_type in permit_sub_types:
#print "adding: %s" % sub_type
permit_sub_types.append(sub_type)
building_num = row[8]
if not building_num in building_nums:
#print "adding: %s" % sub_type
building_nums.append(building_num)
applicant = row[9]
if ( re.search('MGMT', applicant) or
re.search('REALTY', applicant) or
re.search('PROPERTIES', applicant) or
re.search('MANAGEMENT', applicant) or
re.search('GROUP', applicant) or
re.search('LLC', applicant) or
re.search('L.L.C.', applicant) or
re.search('INC', applicant)
):
if not applicant in managers:
managers.append(applicant)
else:
if not applicant in applicants:
applicants.append(applicant)
#print ', '.join(row)
#print
## print permit_sub_types
print status_types
print building_nums
save_results(locations)
['Berkeley', 'CA', '', ''],
['Evanston', 'IL', '', ''],
['Fayetteville', 'AR', '', ''],
['Dearborn', 'MI', '', ''],
['Oklahoma City', 'OK', '', ''],
]
for city_simple in cities:
city_name = city_simple[0]
city_state = city_simple[1]
city_tag = to_tag("%s_%s" % (city_name, city_state))
city_options = City.objects.filter(tag=city_tag)
print "Number of cities available: %s" % len(city_options)
if not len(city_options):
city = City()
else:
city = city_options[0]
city.name = city_name
city.tag = city_tag
city.state = city_state
if saved_cities.has_key(city_tag) and saved_cities[city_tag][
'lat'] and saved_cities[city_tag]['lng']:
city_dict = saved_cities[city_tag]
print city_dict
city.latitude = city_dict['lat']
city.longitude = city_dict['lng']
else:
['Berkeley', 'CA', '', ''],
['Evanston', 'IL', '', ''],
['Fayetteville', 'AR', '', ''],
['Dearborn', 'MI', '', ''],
['Oklahoma City', 'OK', '', ''],
]
for city_simple in cities:
city_name = city_simple[0]
city_state = city_simple[1]
city_tag = to_tag("%s_%s" % (city_name, city_state))
city_options = City.objects.filter(tag=city_tag)
print "Number of cities available: %s" % len(city_options)
if not len(city_options):
city = City()
else:
city = city_options[0]
city.name = city_name
city.tag = city_tag
city.state = city_state
if saved_cities.has_key(city_tag) and saved_cities[city_tag]['lat'] and saved_cities[city_tag]['lng']:
city_dict = saved_cities[city_tag]
print city_dict
city.latitude = city_dict['lat']
city.longitude = city_dict['lng']
else: