def __init__(self, waterml_data):
if isinstance(waterml_data, str) or isinstance(waterml_data, unicode):
try:
self._root = etree.fromstring(str(waterml_data))
except ValueError:
# Strip out the XML header due to UTF8 encoding declaration
self._root = etree.fromstring(waterml_data[56:])
else:
self._root = waterml_data
response = WaterML_1_1(self._root).response
stations = []
station_lookup = []
for timeseries in response.time_series:
station_code = sorted(timeseries.source_info.site_codes)[0]
# Create station if we have not seen it
if station_code not in station_lookup:
s = Station()
s.uid = station_code
info = timeseries.source_info
s.name = info.site_name
s.set_property("station_type", info.site_types)
s.set_property("huc", info.site_properties.get("hucCd"))
s.set_property("county", info.site_properties.get("countyCd"))
s.set_property("state", info.site_properties.get("stateCd"))
# Now set the station's location
vertical = info.elevation
if vertical is None:
vertical = 0
try:
location = info.location.geo_coords[0]
srs = info.location.srs[0]
except:
print "Could not find a location for %s... skipping station" % s.uid
continue
s.location = sPoint(float(location[0]), float(location[1]), vertical)
s.set_property("horizontal_crs", srs)
s.set_property("vertical_units", "m")
s.set_property("vertical_crs", info.vertical_datum)
s.set_property("location_description", info.location.notes)
stations.append(s)
station_lookup.append(s.uid)
times = {}
variable = timeseries.variable
for variable_timeseries in timeseries.values:
for r in variable_timeseries:
dt = r.date_time
if dt.tzinfo is None:
dt = dt.replace(tzinfo=pytz.utc)
dt = dt.astimezone(pytz.utc)
if dt not in times.keys():
times[dt] = []
times[dt].append(Member(value=r.value, unit=variable.unit.code, name=variable.variable_name, description=variable.variable_description, standard=variable.variable_code))
station = stations[station_lookup.index(station_code)]
for dts,members in times.iteritems():
p = Point()
p.time = dts
p.location = station.location
p.members = members
station.add_element(p)
self.feature = StationCollection(elements=stations)
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, waterml_data):
if isinstance(waterml_data, str) or isinstance(waterml_data, unicode):
try:
self._root = etree.fromstring(str(waterml_data))
except ValueError:
# Strip out the XML header due to UTF8 encoding declaration
self._root = etree.fromstring(waterml_data[56:])
else:
self._root = waterml_data
response = WaterML_1_1(self._root).response
stations = []
station_lookup = []
for timeseries in response.time_series:
station_code = sorted(timeseries.source_info.site_codes)[0]
# Create station if we have not seen it
if station_code not in station_lookup:
s = Station()
s.uid = station_code
info = timeseries.source_info
s.name = info.site_name
s.set_property("station_type", info.site_types)
s.set_property("huc", info.site_properties.get("hucCd"))
s.set_property("county", info.site_properties.get("countyCd"))
s.set_property("state", info.site_properties.get("stateCd"))
# Now set the station's location
vertical = info.elevation
if vertical is None:
vertical = 0
try:
location = info.location.geo_coords[0]
srs = info.location.srs[0]
except:
print "Could not find a location for %s... skipping station" % s.uid
continue
s.location = sPoint(float(location[0]), float(location[1]),
vertical)
s.set_property("horizontal_crs", srs)
s.set_property("vertical_units", "m")
s.set_property("vertical_crs", info.vertical_datum)
s.set_property("location_description", info.location.notes)
stations.append(s)
station_lookup.append(s.uid)
times = {}
variable = timeseries.variable
for variable_timeseries in timeseries.values:
for r in variable_timeseries:
dt = r.date_time
if dt.tzinfo is None:
dt = dt.replace(tzinfo=pytz.utc)
dt = dt.astimezone(pytz.utc)
if dt not in times.keys():
times[dt] = []
times[dt].append(
Member(value=r.value,
unit=variable.unit.code,
name=variable.variable_name,
description=variable.variable_description,
standard=variable.variable_code))
station = stations[station_lookup.index(station_code)]
for dts, members in times.iteritems():
p = Point()
p.time = dts
p.location = station.location
p.members = members
station.add_element(p)
self.feature = StationCollection(elements=stations)
def __init__(self, awc_list):
for awc_data in awc_list:
self._root = etree.fromstring(awc_data.encode())
'''Code to get station iterator goes here.'''
stations = []
station_lookup = []
times = []
for metar in self._root.iter('METAR'):
uid = metar.find("station_id").text
if uid not in station_lookup:
s = Station()
s.uid = uid
vertical = metar.find("elevation_m").text
if vertical is None:
vertical = 0
s.location = sPoint(float(metar.find("latitude").text),
float(metar.find("longitude").text),
float(vertical))
s.set_property("metar_type", metar.find("metar_type").text)
s.set_property("horizontal_crs", "GCS")
s.set_property("vertical_units", "m")
s.set_property("vertical_crs", "AGL")
stations.append(s)
station_lookup.append(s.uid)
times.append({})
else:
s = stations[station_lookup.index(uid)]
variables = [
"elevation_m", "raw_text", "temp_c", "dewpoint_c",
"wind_dir_degrees", "wind_speed_kt",
"visibility_statute_mi", "altim_in_hg", "wx_string",
"sky_condition", "flight_category"
]
for variable in variables:
time_string = metar.find("observation_time").text
dt = datetime.strptime(time_string, "%Y-%m-%dT%H:%M:%SZ")
if dt.tzinfo is None:
dt = dt.replace(tzinfo=pytz.utc)
dt = dt.astimezone(pytz.utc)
if dt not in list(times[station_lookup.index(
s.uid)].keys()):
times[station_lookup.index(s.uid)][dt] = []
if metar.find(variable) != None:
if variable in set(
["raw_text", "flight_category", "wx_string"]):
times[station_lookup.index(s.uid)][dt].append(
Member(value=metar.find(variable).text,
unit=None,
name=variable,
description=variable,
standard=None))
elif variable == "sky_condition":
sky_condition = []
for cond in metar.findall(variable):
cover = cond.attrib["sky_cover"]
try:
alt = cond.attrib["cloud_base_ft_agl"]
except:
alt = None
sky_condition.append({
"sky_cover": cover,
"cloud_base_ft_agl": alt
})
times[station_lookup.index(s.uid)][dt].append(
Member(value=sky_condition,
unit="ft_above_ground_level",
name=variable,
description=variable,
standard=None))
else:
times[station_lookup.index(s.uid)][dt].append(
Member(value=float(metar.find(variable).text),
unit=variable.split("_")[-1],
name=variable,
description=variable,
standard=None))
for time_dict, station in zip(times, stations):
for dts, members in time_dict.items():
p = Point()
p.time = dts
p.location = station.location
p.members = members
station.add_element(p)
self.feature = StationCollection(elements=stations)
def __init__(self, awc_list):
for awc_data in awc_list:
if isinstance(awc_data, str) or isinstance(awc_data, unicode):
try:
self._root = etree.fromstring(str(awc_data))
except ValueError:
# Strip out the XML header due to UTF8 encoding declaration
self._root = etree.fromstring(awc_data[56:])
else:
raise ValueError("Cannot parse response into ElementTree xml object")
'''Code to get station iterator goes here
'''
stations = []
station_lookup = []
times = []
for metar in self._root.iter('METAR'):
uid = metar.find("station_id").text
if uid not in station_lookup:
s = Station()
s.uid = uid
vertical = metar.find("elevation_m").text
if vertical is None:
vertical = 0
s.location = sPoint(float(metar.find("latitude").text), float(metar.find("longitude").text), float(vertical))
s.set_property("metar_type", metar.find("metar_type").text)
s.set_property("horizontal_crs", "GCS")
s.set_property("vertical_units", "m")
s.set_property("vertical_crs", "AGL")
stations.append(s)
station_lookup.append(s.uid)
times.append({})
else:
s = stations[station_lookup.index(uid)]
variables = ["elevation_m", "raw_text", "temp_c", "dewpoint_c", "wind_dir_degrees", "wind_speed_kt", "visibility_statute_mi", "altim_in_hg", "wx_string", "sky_condition", "flight_category"]
for variable in variables:
time_string = metar.find("observation_time").text
dt = datetime.strptime(time_string, "%Y-%m-%dT%H:%M:%SZ")
if dt.tzinfo is None:
dt = dt.replace(tzinfo=pytz.utc)
dt = dt.astimezone(pytz.utc)
if dt not in times[station_lookup.index(s.uid)].keys():
times[station_lookup.index(s.uid)][dt] = []
if metar.find(variable) != None:
if variable in set(["raw_text", "flight_category", "wx_string"]):
times[station_lookup.index(s.uid)][dt].append(Member(value=metar.find(variable).text, unit=None, name=variable, description=variable, standard=None))
elif variable == "sky_condition":
sky_condition = []
for cond in metar.findall(variable):
cover = cond.attrib["sky_cover"]
try:
alt = cond.attrib["cloud_base_ft_agl"]
except:
alt = None
sky_condition.append({"sky_cover" : cover, "cloud_base_ft_agl" : alt})
times[station_lookup.index(s.uid)][dt].append(Member(value=sky_condition, unit="ft_above_ground_level", name=variable, description=variable, standard=None))
else:
times[station_lookup.index(s.uid)][dt].append(Member(value=float(metar.find(variable).text), unit=variable.split("_")[-1], name=variable, description=variable, standard=None))
for time_dict, station in zip(times, stations):
for dts, members in time_dict.iteritems():
p = Point()
p.time = dts
p.location = station.location
p.members = members
station.add_element(p)
self.feature = StationCollection(elements=stations)
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!"
def __init__(self, awc_list):
for awc_data in awc_list:
try:
self._root = etree.fromstring(awc_data.encode())
except Exception as e:
warnings.warn(
"Could not read from {!r}, got {}".format(awc_data, e)
)
continue
"""Code to get station iterator goes here."""
stations = []
station_lookup = []
times = []
for metar in self._root.iter("METAR"):
uid = metar.find("station_id").text
if uid not in station_lookup:
s = Station()
s.uid = uid
vertical = metar.find("elevation_m").text
if vertical is None:
vertical = 0
s.location = sPoint(
float(metar.find("latitude").text),
float(metar.find("longitude").text),
float(vertical),
)
s.set_property("metar_type", metar.find("metar_type").text)
s.set_property("horizontal_crs", "GCS")
s.set_property("vertical_units", "m")
s.set_property("vertical_crs", "AGL")
stations.append(s)
station_lookup.append(s.uid)
times.append({})
else:
s = stations[station_lookup.index(uid)]
variables = [
"elevation_m",
"raw_text",
"temp_c",
"dewpoint_c",
"wind_dir_degrees",
"wind_speed_kt",
"visibility_statute_mi",
"altim_in_hg",
"wx_string",
"sky_condition",
"flight_category",
]
for variable in variables:
time_string = metar.find("observation_time").text
dt = datetime.strptime(time_string, "%Y-%m-%dT%H:%M:%SZ")
if dt.tzinfo is None:
dt = dt.replace(tzinfo=pytz.utc)
dt = dt.astimezone(pytz.utc)
if dt not in list(
times[station_lookup.index(s.uid)].keys()
):
times[station_lookup.index(s.uid)][dt] = []
if metar.find(variable):
if variable in {"raw_text", "flight_category", "wx_string"}:
times[station_lookup.index(s.uid)][dt].append(
Member(
value=metar.find(variable).text,
unit=None,
name=variable,
description=variable,
standard=None,
)
)
elif variable == "sky_condition":
sky_condition = []
for cond in metar.findall(variable):
cover = cond.attrib["sky_cover"]
try:
alt = cond.attrib["cloud_base_ft_agl"]
except Exception:
alt = None
sky_condition.append(
{
"sky_cover": cover,
"cloud_base_ft_agl": alt,
}
)
times[station_lookup.index(s.uid)][dt].append(
Member(
value=sky_condition,
unit="ft_above_ground_level",
name=variable,
description=variable,
standard=None,
)
)
else:
times[station_lookup.index(s.uid)][dt].append(
Member(
value=float(metar.find(variable).text),
unit=variable.split("_")[-1],
name=variable,
description=variable,
standard=None,
)
)
for time_dict, station in zip(times, stations):
for dts, members in time_dict.items():
p = Point()
p.time = dts
p.location = station.location
p.members = members
station.add_element(p)
self.feature = StationCollection(elements=stations)