def __init__(self, element):
# Both capabilities and characteristics contain a single swe:DataRecord element
self.capabilities = {}
for cap in element.findall(nsp('sml:capabilities')):
name = testXMLAttribute(cap, "name")
dr = DataRecord(cap[0])
self.capabilities[name] = dr
self.characteristics = {}
for cha in element.findall(nsp('sml:characteristics')):
name = testXMLAttribute(cha, "name")
dr = DataRecord(cha[0])
self.characteristics[name] = dr
def __init__(self, element):
record = DataRecord(element)
# Top level org structure
stations_field = record.get_by_name("stations")
stations = {}
sensors = {}
for station in stations_field.content.field:
s = Station()
s.name = station.name
s.uid = station.content.get_by_name("stationID").content.value
# Location
vector = station.content.get_by_name("platformLocation").content
srss = vector.referenceFrame.split("&")
hsrs = None
try:
hsrs = Crs(srss[0])
except ValueError:
pass
vsrs = None
try:
vsrs = Crs(srss[-1].replace("2=http:", "http:"))
except ValueError:
pass
s.set_property("horizontal_srs", hsrs)
s.set_property("vertical_srs", vsrs)
s.set_property("localFrame", vector.localFrame)
lat = vector.get_by_name("latitude").content.value
lon = vector.get_by_name("longitude").content.value
z = vector.get_by_name("height").content.value
loc = [lon, lat]
if z:
loc.append(z)
s.location = sPoint(*loc)
# Sensors
for sensor in station.content.get_by_name("sensors").content.field:
name = sensor.name
uri = sensor.content.get_by_name("sensorID").content.value
height = None
location_quantity = sensor.content.get_by_name("height").content
if location_quantity.referenceFrame == "#%s_frame" % s.name:
# Uses the station as reference frame
if location_quantity.value and z:
height = z + location_quantity.value
horizontal_srs = s.get_property("horizontal_srs")
vertical_srs = s.get_property("vertical_srs")
else:
# Uses its own height
if location_quantity.value:
height = location_quantity.value
horizontal_srs = None
vertical_srs = None
if hasattr(sensor, 'referenceFrame'):
srss = sensor.referenceFrame.split("&")
try:
horizontal_srs = Crs(srss[0])
except ValueError:
pass
try:
vertical_srs = Crs(srss[-1].replace("2=http:", "http:"))
except ValueError:
pass
loc = [s.location.x, s.location.y]
if height:
loc.append(height)
location = sPoint(*loc)
sensors[name] = { 'station' : s.uid,
'name' : name,
'uri' : uri,
'horizontal_srs' : horizontal_srs,
'vertical_srs' : vertical_srs,
'location' : location,
'columns' : [], # Array of Members representing the columns
'values' : [] # Array of Points (the actual data)
}
stations[s.uid] = s
# Start building the column structure
data_array = record.get_by_name("observationData").content
data_record = data_array.elementType.content
columns = []
# Data outside of the <field name="sensors"> DataChoice element
for f in data_record.field:
columns.append(f)
# Data inside of DataChoice
sensor_data = data_record.get_by_name("sensor")
for sendata in sensor_data.content.item:
if sendata.content is not None:
sensors[sendata.name]['columns'] = []
sensors[sendata.name]['values'] = []
for f in sendata.content.field:
# Create a model Member for each column that will be copied and filled with data from each row
sensors[sendata.name]['columns'].append(f)
decimalSeparator = data_array.encoding.decimalSeparator
tokenSeparator = data_array.encoding.tokenSeparator
blockSeparator = data_array.encoding.blockSeparator
collapseWhiteSpaces = data_array.encoding.collapseWhiteSpaces
data_values = data_array.values
self.raw_data = copy(data_values)
for row in filter(lambda x: x != "", data_values.split(blockSeparator)):
pt = None
members = []
values = row.split(tokenSeparator)
sensor_key = None
i = 0
for x in columns:
if isinstance(x.content, Time) and x.content.definition == "http://www.opengis.net/def/property/OGC/0/SamplingTime":
pt = Point()
pt.time = parser.parse(values[i])
elif isinstance(x.content, DataChoice):
sensor_key = values[i]
dc_cols = sensors[sensor_key]['columns']
for j,c in enumerate(dc_cols):
if isinstance(c.content, AbstractSimpleComponent):
m = Member( units=c.content.uom,
name=c.name,
standard=c.content.definition,
value=float(values[i+1]))
members.append(m)
elif isinstance(c.content, Time) and c.content.definition == "http://www.opengis.net/def/property/OGC/0/SamplingTime":
pt = Point()
pt.time = parser.parse(v)
# For each data column
i += 1
elif isinstance(x.content, AbstractSimpleComponent):
m = Member( units=x.content.uom,
name=x.name,
standard=x.content.definition,
value=float(values[i]))
members.append(m)
else:
print "WHAT AM I"
i += 1
pt.members = members
pt.location = stations[sensors[sensor_key]['station']].location
sensors[sensor_key]['values'].append(pt)
for k,v in stations.iteritems():
for sk, sv in sensors.iteritems():
# Match on station uid
if sv['station'] == k:
v.elements = self._merge_points(v.elements or [], sv['values'])
if len(stations) > 1:
self.feature = StationCollection(elements=stations)
elif len(stations) == 1:
self.feature = next(stations.itervalues())
else:
print "No stations found!"
def __init__(self, element):
record = DataRecord(element)
stations_field = record.get_by_name("stations")
stations = {}
sensors = {}
for station in stations_field.content.field:
s = StationProfile()
s.name = station.name
s.uid = station.content.get_by_name("stationID").content.value
# Location
vector = station.content.get_by_name("platformLocation").content
srss = vector.referenceFrame.split("&")
hsrs = None
try:
hsrs = Crs(srss[0])
except ValueError:
pass
vsrs = None
try:
vsrs = Crs(srss[-1].replace("2=http:", "http:"))
except ValueError:
pass
s.set_property("horizontal_srs", hsrs)
s.set_property("vertical_srs", vsrs)
s.set_property("localFrame", vector.localFrame)
lat = vector.get_by_name("latitude").content.value
lon = vector.get_by_name("longitude").content.value
z = vector.get_by_name("height").content.value
loc = [lon, lat]
if z:
loc.append(z)
s.location = sPoint(*loc)
# sensors
for sensor in station.content.get_by_name("sensors").content.field:
name = sensor.name
uri = sensor.content.get_by_name("sensorID").content.value
sensors[name] = {'station' : s.uid,
'name' : name,
'uri' : uri}
# orientation
ori_el = sensor.content.get_by_name("sensorOrientation")
if ori_el:
orientation = self._parse_sensor_orientation(ori_el)
sensors[name]['sensor_orientation'] = orientation
# location
loc_el = sensor.content.get_by_name("sensorLocation")
if loc_el:
location = self._parse_location(loc_el, s.location)
sensors[name]['location'] = location
# profile bins
profbins_el = sensor.content.get_by_name("profileBins")
if profbins_el:
profile_bins = self._parse_profile_bins(profbins_el)
sensors[name]['profile_bins'] = profile_bins
# OR profile heights
profheights_el = sensor.content.get_by_name('profileHeights')
if profheights_el:
profile_heights = self._parse_profile_heights(profheights_el)
sensors[name]['profile_heights'] = profile_heights
s.sensors = sensors
stations[s.uid] = s
sensor_data = self._parse_sensor_data(record.get_by_name('observationData'), sensors)
# sensor data is dict of station id -> profile collection
for station_id, sensor_profile_data in sensor_data.iteritems():
stations[station_id].elements.extend(sensor_profile_data._elements)
if len(stations) > 1:
self.feature = StationCollection(elements=stations)
elif len(stations) == 1:
self.feature = next(stations.itervalues())
else:
print "No stations found!"
self.feature = None
def __init__(self, element):
record = DataRecord(element)
# Top level org structure
stations_field = record.get_by_name("stations")
stations = {}
sensors = {}
for station in stations_field.content.field:
s = Station()
s.name = station.name
s.uid = station.content.get_by_name("stationID").content.value
# Location
vector = station.content.get_by_name("platformLocation").content
srss = vector.referenceFrame.split("&")
hsrs = None
try:
hsrs = Crs(srss[0])
except ValueError:
pass
vsrs = None
try:
vsrs = Crs(srss[-1].replace("2=http:", "http:"))
except ValueError:
pass
s.set_property("horizontal_srs", hsrs)
s.set_property("vertical_srs", vsrs)
s.set_property("localFrame", vector.localFrame)
lat = vector.get_by_name("latitude").content.value
lon = vector.get_by_name("longitude").content.value
z = vector.get_by_name("height").content.value
loc = [lon, lat]
if z:
loc.append(z)
s.location = sPoint(*loc)
# Sensors
for sensor in station.content.get_by_name("sensors").content.field:
name = sensor.name
uri = sensor.content.get_by_name("sensorID").content.value
height = None
location_quantity = sensor.content.get_by_name(
"height").content
if location_quantity.referenceFrame == "#%s_frame" % s.name:
# Uses the station as reference frame
if location_quantity.value and z:
height = z + location_quantity.value
horizontal_srs = s.get_property("horizontal_srs")
vertical_srs = s.get_property("vertical_srs")
else:
# Uses its own height
if location_quantity.value:
height = location_quantity.value
horizontal_srs = None
vertical_srs = None
if hasattr(sensor, 'referenceFrame'):
srss = sensor.referenceFrame.split("&")
try:
horizontal_srs = Crs(srss[0])
except ValueError:
pass
try:
vertical_srs = Crs(srss[-1].replace(
"2=http:", "http:"))
except ValueError:
pass
loc = [s.location.x, s.location.y]
if height:
loc.append(height)
location = sPoint(*loc)
sensors[name] = {
'station': s.uid,
'name': name,
'uri': uri,
'horizontal_srs': horizontal_srs,
'vertical_srs': vertical_srs,
'location': location,
'columns': [], # Array of Members representing the columns
'values': [] # Array of Points (the actual data)
}
stations[s.uid] = s
# Start building the column structure
data_array = record.get_by_name("observationData").content
data_record = data_array.elementType.content
columns = []
# Data outside of the <field name="sensors"> DataChoice element
for f in data_record.field:
columns.append(f)
# Data inside of DataChoice
sensor_data = data_record.get_by_name("sensor")
for sendata in sensor_data.content.item:
if sendata.content is not None:
sensors[sendata.name]['columns'] = []
sensors[sendata.name]['values'] = []
for f in sendata.content.field:
# Create a model Member for each column that will be copied and filled with data from each row
sensors[sendata.name]['columns'].append(f)
decimalSeparator = data_array.encoding.decimalSeparator
tokenSeparator = data_array.encoding.tokenSeparator
blockSeparator = data_array.encoding.blockSeparator
collapseWhiteSpaces = data_array.encoding.collapseWhiteSpaces
data_values = data_array.values
self.raw_data = copy(data_values)
for row in filter(lambda x: x != "",
data_values.split(blockSeparator)):
pt = None
members = []
values = row.split(tokenSeparator)
sensor_key = None
i = 0
for x in columns:
if isinstance(
x.content, Time
) and x.content.definition == "http://www.opengis.net/def/property/OGC/0/SamplingTime":
pt = Point()
pt.time = parser.parse(values[i])
elif isinstance(x.content, DataChoice):
sensor_key = values[i]
dc_cols = sensors[sensor_key]['columns']
for j, c in enumerate(dc_cols):
if isinstance(c.content, AbstractSimpleComponent):
m = Member(units=c.content.uom,
name=c.name,
standard=c.content.definition,
value=float(values[i + 1]))
members.append(m)
elif isinstance(
c.content, Time
) and c.content.definition == "http://www.opengis.net/def/property/OGC/0/SamplingTime":
pt = Point()
pt.time = parser.parse(values[i])
# For each data column
i += 1
elif isinstance(x.content, AbstractSimpleComponent):
m = Member(units=x.content.uom,
name=x.name,
standard=x.content.definition,
value=float(values[i]))
members.append(m)
else:
print "WHAT AM I"
i += 1
pt.members = members
pt.location = stations[sensors[sensor_key]['station']].location
sensors[sensor_key]['values'].append(pt)
for k, v in stations.iteritems():
for sk, sv in sensors.iteritems():
# Match on station uid
if sv['station'] == k:
v.elements = self._merge_points(v.elements or [],
sv['values'])
if len(stations) > 1:
self.feature = StationCollection(elements=stations)
elif len(stations) == 1:
self.feature = next(stations.itervalues())
else:
print "No stations found!"
