def load_latest_bixi(stations=pd.DataFrame(
columns={
'name', 'new', 'moved', 'lat', 'lon', 'num_bikes', 'num_docks',
'last_update', 'll'
})):
print("Using station", stations)
url = "https://secure.bixi.com/data/stations.json"
response = urllib2.urlopen(url)
data = json.load(response)
n = datetime.now()
sdir = 'station_logs'
if not os.path.isdir(sdir):
os.mkdir(sdir)
fn = os.path.join(
sdir, 'bixi_%04d%02d%02d_%02d%02d.json' %
(n.year, n.month, n.day, n.hour, n.minute))
json.dump(data, open(fn, 'w'))
existing_station_codes = list(stations.index)
for station in data['stations']:
station_code = station['n']
lat = station['la']
lon = station['lo']
num_bikes = station['ba']
num_docks = station['da']
last_update = station['lu']
if station_code in existing_station_codes:
stations.loc[station_code, 'new'] = False
cols = ['new', 'num_bikes', 'num_docks', 'last_update']
vals = [False, num_bikes, num_docks, last_update]
# check if lat/lon changed
if not ((stations.loc[station_code, 'lat'] == lat) and
(stations.loc[station_code, 'lon'] == lon)):
ll = LatLon.LatLon(LatLon.Latitude(lat), LatLon.Longitude(lon))
lcols = ['moved', 'lat', 'lon', 'll']
lvals = [True, lat, lon, ll]
stations.loc[station_code, lcols] = lvals
else:
stations.loc[station_code, 'moved'] = False
else:
# create new station
ll = LatLon.LatLon(LatLon.Latitude(lat), LatLon.Longitude(lon))
cols = [
'name', 'new', 'moved', 'lon', 'lat', 'num_bikes', 'num_docks',
'last_update', 'll'
]
vals = [
unidecode(station['s']).encode('ascii'), True, True, lon, lat,
num_bikes, num_docks, last_update, ll
]
stations.loc[station_code, cols] = vals
return stations, fn
def deg_min_sec(value):
"""
Usage::
{{ form.origin_point.value|deg_min_sec }}
"""
#GEOSGeometry('POINT(-95.3385 29.7245)')
try:
point = GEOSGeometry(value)
x = point.get_x()
y = point.get_y()
c=LatLon.LatLon(LatLon.Longitude(x), LatLon.Latitude(y))
latlon = c.to_string('d% %m% %S% %H')
lon = latlon[0].split(' ')
lat = latlon[1].split(' ')
# need to format float number (seconds) to 1 dp
lon[2] = str(round(eval(lon[2]), 1))
lat[2] = str(round(eval(lat[2]), 1))
# Degrees Minutes Seconds Hemisphere
lat_str = lat[0] + u'\N{DEGREE SIGN} ' + lat[1].zfill(2) + '\' ' + lat[2].zfill(4) + '\" ' + lat[3]
lon_str = lon[0] + u'\N{DEGREE SIGN} ' + lon[1].zfill(2) + '\' ' + lon[2].zfill(4) + '\" ' + lon[3]
return 'Lat/Lon ' + lat_str + ', ' + lon_str
except:
return None
def find_distance_to_stations(ulat, ulon, lspd):
uu = LatLon.LatLon(LatLon.Latitude(ulat), LatLon.Longitude(ulon))
lls = lspd.loc[:, 'll']
ds = []
for l in lls:
ds.append(uu.distance(l))
return ds
def get_coordinate(self, type='latitude'):
"""Get latitude or longitude of photo from EXIF
:param str type: Type of coordinate to get. Either "latitude" or
"longitude".
:returns: float or None if not present in EXIF or a non-photo file
"""
if (not self.is_valid()):
return None
key = self.exif_map['latitude']
if (type == 'longitude'):
key = self.exif_map['longitude']
exif = self.get_exif()
if (key not in exif):
return None
try:
# this is a hack to get the proper direction by negating the
# values for S and W
latdir = 1
if (type == 'latitude' and str(
exif[self.exif_map['latitude_ref']].value) == 'S'): # noqa
latdir = -1
londir = 1
if (type == 'longitude'
and str(exif[self.exif_map['longitude_ref']].value)
== 'W'): # noqa
londir = -1
coords = exif[key].value
if (type == 'latitude'):
lat_val = LatLon.Latitude(degree=coords[0],
minute=coords[1],
second=coords[2])
return float(str(lat_val)) * latdir
else:
lon_val = LatLon.Longitude(degree=coords[0],
minute=coords[1],
second=coords[2])
return float(str(lon_val)) * londir
except KeyError:
return None
def origin_geo(self):
if not self.origin_point:
return None
c = LatLon.LatLon(LatLon.Longitude(self.origin_point.get_x()),
LatLon.Latitude(self.origin_point.get_y()))
latlon = c.to_string('d% %m% %S% %H')
lon = latlon[0].split(' ')
lat = latlon[1].split(' ')
# need to format float number (seconds) to 1 dp
lon[2] = str(round(eval(lon[2]), 1))
lat[2] = str(round(eval(lat[2]), 1))
# Degrees Minutes Seconds Hemisphere
lat_str = lat[0] + u'\N{DEGREE SIGN} ' + lat[1].zfill(
2) + '\' ' + lat[2].zfill(4) + '\" ' + lat[3]
lon_str = lon[0] + u'\N{DEGREE SIGN} ' + lon[1].zfill(
2) + '\' ' + lon[2].zfill(4) + '\" ' + lon[3]
return 'Lat/Lon ' + lat_str + ', ' + lon_str
def field_value(field_name, bushfire=None, request=None, url_type="auto",is_upper=None,external_email=False):
"""
Return the value of model field to dispay in the email
"""
if bushfire:
try:
if field_name == "origin_point_geo":
return bushfire.origin_geo
elif field_name == "region":
if is_upper == True:
return bushfire.region.name.upper()
else:
return bushfire.region.name
elif field_name == "district":
if is_upper == True:
return bushfire.district.name.upper()
else:
return bushfire.district.name
elif field_name == "fire_number":
if request and not external_email:
return mark_safe("<a href='{}'>{}</a>".format(utils.get_bushfire_url(request,bushfire,url_type),bushfire.fire_number))
else:
return bushfire.fire_number
elif field_name == "url_link":
return mark_safe("<a href='{0}'>{0}</a>".format(utils.get_bushfire_url(request,bushfire,url_type)))
elif field_name == "url":
return utils.get_bushfire_url(request,bushfire,url_type)
elif field_name == "report_status":
return bushfire.report_status_name
elif field_name == "latitude_degree":
return LatLon.Latitude(bushfire.origin_point.get_y()).degree
elif field_name == "latitude_minute":
return LatLon.Latitude(bushfire.origin_point.get_y()).minute
elif field_name == "latitude_second":
return LatLon.Latitude(bushfire.origin_point.get_y()).second
elif field_name == "longitude_degree":
return LatLon.Longitude(bushfire.origin_point.get_x()).degree
elif field_name == "longitude_minute":
return LatLon.Longitude(bushfire.origin_point.get_x()).minute
elif field_name == "longitude_second":
return LatLon.Longitude(bushfire.origin_point.get_x()).second
value = getattr(bushfire, FIELD_MAPPING.get(field_name) or field_name)
if field_name == "dfes_incident_no":
return value or "Not available"
elif value is None:
return "-"
elif type(value) == type(True):
return "Yes" if value else "No"
elif field_name == "dispatch_pw":
return "Yes" if value == 1 else "No"
elif isinstance(value,datetime.datetime):
return value.astimezone(tz.gettz(settings.TIME_ZONE)).strftime('%Y-%m-%d %H:%M')
else:
value = str(value).strip()
return value or "-"
except:
return "-"
else:
return "-"
output_fh.write(server_template.format(lat=args.lat, lon=args.lon))
print("Generating raw coordinates to {}".format(args.output_raw))
coords_fh = file(args.output_raw, 'wb')
w_worker = (2 * steps - 1) * r_hex #convert the step limit of the worker into the r radius of the hexagon in meters?
d = 2.0 * w_worker / 1000.0 #convert that into a diameter and convert to gps scale
d_s = d
brng_s = 0.0
brng = 0.0
mod = math.degrees(math.atan(1.732 / (6 * (steps - 1) + 3)))
total_workers = (((rings * (rings - 1)) *3) + 1) # this mathamtically calculates the total number of workers
locations = [LatLon.LatLon(LatLon.Latitude(0), LatLon.Longitude(0))] * total_workers #this initialises the list
locations[0] = LatLon.LatLon(LatLon.Latitude(args.lat), LatLon.Longitude(args.lon)) #set the latlon for worker 0 from cli args
turns = 0 # number of turns made in this ring (0 to 6)
turn_steps = 0 # number of cells required to complete one turn of the ring
turn_steps_so_far = 0 # current cell number in this side of the current ring
for i in range(1, total_workers):
if turns == 6 or turn_steps == 0:
# we have completed a ring (or are starting the very first ring)
turns = 0
turn_steps += 1
turn_steps_so_far = 0
coords_fh = file(args.output_raw, 'wb')
w_worker = (
2 * steps - 1
) * r_hex #convert the step limit of the worker into the r radius of the hexagon in meters?
d = 2.0 * w_worker / 1000.0 #convert that into a diameter and convert to gps scale
d_s = d
brng_s = 0.0
brng = 0.0
mod = math.degrees(math.atan(1.732 / (6 * (steps - 1) + 3)))
total_workers = (((rings * (rings - 1)) * 3) + 1
) # this mathamtically calculates the total number of workers
locations = [LatLon.LatLon(LatLon.Latitude(0), LatLon.Longitude(0))
] * total_workers #this initialises the list
locations[0] = LatLon.LatLon(
LatLon.Latitude(args.lat),
LatLon.Longitude(args.lon)) #set the latlon for worker 0 from cli args
turns = 0 # number of turns made in this ring (0 to 6)
turn_steps = 0 # number of cells required to complete one turn of the ring
turn_steps_so_far = 0 # current cell number in this side of the current ring
for i in range(1, total_workers):
if turns == 6 or turn_steps == 0:
# we have completed a ring (or are starting the very first ring)
turns = 0
turn_steps += 1
turn_steps_so_far = 0
def load_stats(station_location_files=[],
sfile='stations.csv',
shp_file='../geo/limadmin-shp/LIMADMIN.shp'):
if os.path.exists(sfile):
print("Loading station infromation from saved file")
blocs = pd.read_csv(sfile)
else:
print("Creating station information file with relevant information")
import geocoder
import geopandas as gpd
import LatLon
from unidecode import unidecode
from shapely.geometry import Point
loc_files = station_location_files
loclist = []
for ll in loc_files:
loclist.append(load_loc(ll))
blocs = pd.concat(loclist)
blocs.drop_duplicates(subset=['code'], keep='last', inplace=True)
downtown = LatLon.LatLon(LatLon.Latitude(45.504045),
LatLon.Longitude(-73.569101))
stat_loc = [
LatLon.LatLon(LatLon.Latitude(blocs.loc[stat, 'latitude']),
LatLon.Latitude(blocs.loc[stat, 'longitude']))
for stat in blocs.index
]
print("finding elevation for each station")
ggs = [
geocoder.elevation(
"%s, %s" %
(blocs.loc[stat, 'latitude'], blocs.loc[stat, 'longitude']))
for stat in blocs.index
]
elevs = [g.meters for g in ggs]
dist_dt = [downtown.distance(sl) for sl in stat_loc]
blocs['distance_to_downtown'] = dist_dt
blocs['LatLon'] = stat_loc
blocs['elev'] = elevs
nbl = []
for bl in blocs['name']:
t = unidecode(bl)
t.encode(
"ascii"
) #works fine, because all non-ASCII from s are replaced with their equivalents
nbl.append(t)
blocs['name fmt'] = nbl
# remove names which are not easily written to file
del blocs['name']
blocs.index = blocs['code']
# read shape file of region
mtlbr = gpd.read_file(shp_file)
pps = [Point(pt) for pt in zip(blocs['longitude'], blocs['latitude'])]
nns = []
for pp in pps:
shp_indx = np.argmax(mtlbr['geometry'].contains(pp))
nns.append(shp_indx)
blocs['neighborhood code'] = nns
nnames = np.array(
mtlbr.loc[nns, 'NOM'].map(lambda x: unidecode(x).encode('ascii')))
blocs['neighborhood'] = nnames
blocs.to_csv(sfile)
return blocs