def test_inequality(self):
"""
Altitudes with different values don't compare equal.
"""
firstAltitude = base.Altitude(1.)
secondAltitude = base.Altitude(-1.)
self.assertNotEqual(firstAltitude, secondAltitude)
def test_equality(self):
"""
Altitudes with equal values compare equal.
"""
firstAltitude = base.Altitude(1.)
secondAltitude = base.Altitude(1.)
self.assertEqual(firstAltitude, secondAltitude)
def test_heightOfGeoidAboveWGS84(self):
"""
The NMEA representation of an altitude of the geoid (above the
WGS84 reference level) is correctly converted.
"""
key, value = "heightOfGeoidAboveWGS84", "46.9"
altitude = base.Altitude(float(value))
self._fixerTest({key: value}, {key: altitude})
def test_fixAltitude(self):
"""
The NMEA representation of an altitude (above mean sea level)
is correctly converted.
"""
key, value = "altitude", "545.4"
altitude = base.Altitude(float(value))
self._fixerTest({key: value}, {key: altitude})
def test_value(self):
"""
Altitudes can be instantiated and reports the correct value in
meters and feet, as well as when converted to float.
"""
altitude = base.Altitude(1.)
self.assertEqual(float(altitude), 1.)
self.assertEqual(altitude.inMeters, 1.)
self.assertEqual(altitude.inFeet, 1. / base.METERS_PER_FOOT)
def test_GLL(self):
"""
GLL data with a valid data mode is used.
"""
sentenceData = {'type': 'GPGLL',
'altitude': '545.4',
'dataMode': nmea.GPGLLGPRMCFixQualities.ACTIVE}
expectedState = {'altitude': base.Altitude(545.4)}
self._fixerTest(sentenceData, expectedState)
def test_GGA(self):
"""
GGA data with a valid fix is used.
"""
sentenceData = {'type': 'GPGGA',
'altitude': '545.4',
'fixQuality': nmea.GPGGAFixQualities.GPS_FIX}
expectedState = {'altitude': base.Altitude(545.4)}
self._fixerTest(sentenceData, expectedState)
def test_GLL(self):
"""
GLL data with a valid data mode is used.
"""
sentenceData = {
"type": "GPGLL",
"altitude": "545.4",
"dataMode": nmea.GPGLLGPRMCFixQualities.ACTIVE,
}
expectedState = {"altitude": base.Altitude(545.4)}
self._fixerTest(sentenceData, expectedState)
def test_GGA(self):
"""
GGA data with a valid fix is used.
"""
sentenceData = {
"type": "GPGGA",
"altitude": "545.4",
"fixQuality": nmea.GPGGAFixQualities.GPS_FIX,
}
expectedState = {"altitude": base.Altitude(545.4)}
self._fixerTest(sentenceData, expectedState)
class NMEAAdapter(object):
"""
An adapter from NMEAProtocol receivers to positioning receivers.
@cvar _STATEFUL_UPDATE: Information on how to update partial information
in the sentence data or internal adapter state. For more information,
see C{_statefulUpdate}'s docstring.
@type _STATEFUL_UPDATE: See C{_statefulUpdate}'s docstring
@cvar _ACCEPTABLE_UNITS: A set of NMEA notations of units that are
already acceptable (metric), and therefore don't need to be converted.
@type _ACCEPTABLE_UNITS: C{frozenset} of bytestrings
@cvar _UNIT_CONVERTERS: Mapping of NMEA notations of units that are not
acceptable (not metric) to converters that take a quantity in that
unit and produce a metric quantity.
@type _UNIT_CONVERTERS: C{dict} of bytestrings to unary callables
@cvar _SPECIFIC_SENTENCE_FIXES: A mapping of sentece types to specific
fixes that are required to extract useful information from data from
those sentences.
@type _SPECIFIC_SENTENCE_FIXES: C{dict} of sentence types to callables
that take self and modify it in-place
@cvar _FIXERS: Set of unary callables that take an NMEAAdapter instance
and extract useful data from the sentence data, usually modifying the
adapter's sentence data in-place.
@type _FIXERS: C{dict} of native strings to unary callables
@ivar yearThreshold: The earliest possible year that data will be
interpreted as. For example, if this value is C{1990}, an NMEA
0183 two-digit year of "96" will be interpreted as 1996, and
a two-digit year of "13" will be interpreted as 2013.
@type yearThreshold: L{int}
@ivar _state: The current internal state of the receiver.
@type _state: C{dict}
@ivar _sentenceData: The data present in the sentence currently being
processed. Starts empty, is filled as the sentence is parsed.
@type _sentenceData: C{dict}
@ivar _receiver: The positioning receiver that will receive parsed data.
@type _receiver: L{ipositioning.IPositioningReceiver}
"""
def __init__(self, receiver):
"""
Initializes a new NMEA adapter.
@param receiver: The receiver for positioning sentences.
@type receiver: L{ipositioning.IPositioningReceiver}
"""
self._state = {}
self._sentenceData = {}
self._receiver = receiver
def _fixTimestamp(self):
"""
Turns the NMEAProtocol timestamp notation into a datetime.time object.
The time in this object is expressed as Zulu time.
"""
timestamp = self.currentSentence.timestamp.split('.')[0]
timeObject = datetime.datetime.strptime(timestamp, '%H%M%S').time()
self._sentenceData['_time'] = timeObject
yearThreshold = 1980
def _fixDatestamp(self):
"""
Turns an NMEA datestamp format into a C{datetime.date} object.
@raise ValueError: When the day or month value was invalid, e.g. 32nd
day, or 13th month, or 0th day or month.
"""
date = self.currentSentence.datestamp
day, month, year = map(int, [date[0:2], date[2:4], date[4:6]])
year += self.yearThreshold - (self.yearThreshold % 100)
if year < self.yearThreshold:
year += 100
self._sentenceData['_date'] = datetime.date(year, month, day)
def _fixCoordinateFloat(self, coordinateType):
"""
Turns the NMEAProtocol coordinate format into Python float.
@param coordinateType: The coordinate type.
@type coordinateType: One of L{Angles.LATITUDE} or L{Angles.LONGITUDE}.
"""
if coordinateType is Angles.LATITUDE:
coordinateName = "latitude"
else: # coordinateType is Angles.LONGITUDE
coordinateName = "longitude"
nmeaCoordinate = getattr(self.currentSentence, coordinateName + "Float")
left, right = nmeaCoordinate.split('.')
degrees, minutes = int(left[:-2]), float("%s.%s" % (left[-2:], right))
angle = degrees + minutes/60
coordinate = base.Coordinate(angle, coordinateType)
self._sentenceData[coordinateName] = coordinate
def _fixHemisphereSign(self, coordinateType, sentenceDataKey=None):
"""
Fixes the sign for a hemisphere.
This method must be called after the magnitude for the thing it
determines the sign of has been set. This is done by the following
functions:
- C{self.FIXERS['magneticVariation']}
- C{self.FIXERS['latitudeFloat']}
- C{self.FIXERS['longitudeFloat']}
@param coordinateType: Coordinate type. One of L{Angles.LATITUDE},
L{Angles.LONGITUDE} or L{Angles.VARIATION}.
@param sentenceDataKey: The key name of the hemisphere sign being
fixed in the sentence data. If unspecified, C{coordinateType} is
used.
@type sentenceDataKey: C{str} (unless C{None})
"""
sentenceDataKey = sentenceDataKey or coordinateType
sign = self._getHemisphereSign(coordinateType)
self._sentenceData[sentenceDataKey].setSign(sign)
def _getHemisphereSign(self, coordinateType):
"""
Returns the hemisphere sign for a given coordinate type.
@param coordinateType: The coordinate type to find the hemisphere for.
@type coordinateType: L{Angles.LATITUDE}, L{Angles.LONGITUDE} or
L{Angles.VARIATION}.
@return: The sign of that hemisphere (-1 or 1).
@rtype: C{int}
"""
if coordinateType is Angles.LATITUDE:
hemisphereKey = "latitudeHemisphere"
elif coordinateType is Angles.LONGITUDE:
hemisphereKey = "longitudeHemisphere"
elif coordinateType is Angles.VARIATION:
hemisphereKey = 'magneticVariationDirection'
else:
raise ValueError("unknown coordinate type %s" % (coordinateType,))
hemisphere = getattr(self.currentSentence, hemisphereKey).upper()
if hemisphere in "NE":
return 1
elif hemisphere in "SW":
return -1
else:
raise ValueError("bad hemisphere/direction: %s" % (hemisphere,))
def _convert(self, key, converter):
"""
A simple conversion fix.
@param key: The attribute name of the value to fix.
@type key: native string (Python identifier)
@param converter: The function that converts the value.
@type converter: unary callable
"""
currentValue = getattr(self.currentSentence, key)
self._sentenceData[key] = converter(currentValue)
_STATEFUL_UPDATE = {
# sentenceKey: (stateKey, factory, attributeName, converter),
'trueHeading': ('heading', base.Heading, '_angle', float),
'magneticVariation':
('heading', base.Heading, 'variation',
lambda angle: base.Angle(float(angle), Angles.VARIATION)),
'horizontalDilutionOfPrecision':
('positionError', base.PositionError, 'hdop', float),
'verticalDilutionOfPrecision':
('positionError', base.PositionError, 'vdop', float),
'positionDilutionOfPrecision':
('positionError', base.PositionError, 'pdop', float),
}
def _statefulUpdate(self, sentenceKey):
"""
Does a stateful update of a particular positioning attribute.
Specifically, this will mutate an object in the current sentence data.
Using the C{sentenceKey}, this will get a tuple containing, in order,
the key name in the current state and sentence data, a factory for
new values, the attribute to update, and a converter from sentence
data (in NMEA notation) to something useful.
If the sentence data doesn't have this data yet, it is grabbed from
the state. If that doesn't have anything useful yet either, the
factory is called to produce a new, empty object. Either way, the
object ends up in the sentence data.
@param sentenceKey: The name of the key in the sentence attributes,
C{NMEAAdapter._STATEFUL_UPDATE} dictionary and the adapter state.
@type sentenceKey: C{str}
"""
key, factory, attr, converter = self._STATEFUL_UPDATE[sentenceKey]
if key not in self._sentenceData:
try:
self._sentenceData[key] = self._state[key]
except KeyError: # state does not have this partial data yet
self._sentenceData[key] = factory()
newValue = converter(getattr(self.currentSentence, sentenceKey))
setattr(self._sentenceData[key], attr, newValue)
_ACCEPTABLE_UNITS = frozenset(['M'])
_UNIT_CONVERTERS = {
'N': lambda inKnots: base.Speed(float(inKnots) * base.MPS_PER_KNOT),
'K': lambda inKPH: base.Speed(float(inKPH) * base.MPS_PER_KPH),
}
def _fixUnits(self, unitKey=None, valueKey=None, sourceKey=None,
unit=None):
"""
Fixes the units of a certain value. If the units are already
acceptable (metric), does nothing.
None of the keys are allowed to be the empty string.
@param unit: The unit that is being converted I{from}. If unspecified
or C{None}, asks the current sentence for the C{unitKey}. If that
also fails, raises C{AttributeError}.
@type unit: C{str}
@param unitKey: The name of the key/attribute under which the unit can
be found in the current sentence. If the C{unit} parameter is set,
this parameter is not used.
@type unitKey: C{str}
@param sourceKey: The name of the key/attribute that contains the
current value to be converted (expressed in units as defined
according to the the C{unit} parameter). If unset, will use the
same key as the value key.
@type sourceKey: C{str}
@param valueKey: The key name in which the data will be stored in the
C{_sentenceData} instance attribute. If unset, attempts to remove
"Units" from the end of the C{unitKey} parameter. If that fails,
raises C{ValueError}.
@type valueKey: C{str}
"""
if unit is None:
unit = getattr(self.currentSentence, unitKey)
if valueKey is None:
if unitKey is not None and unitKey.endswith("Units"):
valueKey = unitKey[:-5]
else:
raise ValueError("valueKey unspecified and couldn't be guessed")
if sourceKey is None:
sourceKey = valueKey
if unit not in self._ACCEPTABLE_UNITS:
converter = self._UNIT_CONVERTERS[unit]
currentValue = getattr(self.currentSentence, sourceKey)
self._sentenceData[valueKey] = converter(currentValue)
def _fixGSV(self):
"""
Parses partial visible satellite information from a GSV sentence.
"""
# To anyone who knows NMEA, this method's name should raise a chuckle's
# worth of schadenfreude. 'Fix' GSV? Hah! Ludicrous.
beaconInformation = base.BeaconInformation()
self._sentenceData['_partialBeaconInformation'] = beaconInformation
keys = "satellitePRN", "azimuth", "elevation", "signalToNoiseRatio"
for index in range(4):
prn, azimuth, elevation, snr = [getattr(self.currentSentence, attr)
for attr in ("%s_%i" % (key, index) for key in keys)]
if prn is None or snr is None:
# The peephole optimizer optimizes the jump away, meaning that
# coverage.py thinks it isn't covered. It is. Replace it with
# break, and watch the test case fail.
# ML thread about this issue: http://goo.gl/1KNUi
# Related CPython bug: http://bugs.python.org/issue2506
continue
satellite = base.Satellite(prn, azimuth, elevation, snr)
beaconInformation.seenBeacons.add(satellite)
def _fixGSA(self):
"""
Extracts the information regarding which satellites were used in
obtaining the GPS fix from a GSA sentence.
Precondition: A GSA sentence was fired. Postcondition: The current
sentence data (C{self._sentenceData} will contain a set of the
currently used PRNs (under the key C{_usedPRNs}.
"""
self._sentenceData['_usedPRNs'] = set()
for key in ("usedSatellitePRN_%d" % (x,) for x in range(12)):
prn = getattr(self.currentSentence, key, None)
if prn is not None:
self._sentenceData['_usedPRNs'].add(int(prn))
_SPECIFIC_SENTENCE_FIXES = {
'GPGSV': _fixGSV,
'GPGSA': _fixGSA,
}
def _sentenceSpecificFix(self):
"""
Executes a fix for a specific type of sentence.
"""
fixer = self._SPECIFIC_SENTENCE_FIXES.get(self.currentSentence.type)
if fixer is not None:
fixer(self)
_FIXERS = {
'type':
lambda self: self._sentenceSpecificFix(),
'timestamp':
lambda self: self._fixTimestamp(),
'datestamp':
lambda self: self._fixDatestamp(),
'latitudeFloat':
lambda self: self._fixCoordinateFloat(Angles.LATITUDE),
'latitudeHemisphere':
lambda self: self._fixHemisphereSign(Angles.LATITUDE, 'latitude'),
'longitudeFloat':
lambda self: self._fixCoordinateFloat(Angles.LONGITUDE),
'longitudeHemisphere':
lambda self: self._fixHemisphereSign(Angles.LONGITUDE, 'longitude'),
'altitude':
lambda self: self._convert('altitude',
converter=lambda strRepr: base.Altitude(float(strRepr))),
'altitudeUnits':
lambda self: self._fixUnits(unitKey='altitudeUnits'),
'heightOfGeoidAboveWGS84':
lambda self: self._convert('heightOfGeoidAboveWGS84',
converter=lambda strRepr: base.Altitude(float(strRepr))),
'heightOfGeoidAboveWGS84Units':
lambda self: self._fixUnits(
unitKey='heightOfGeoidAboveWGS84Units'),
'trueHeading':
lambda self: self._statefulUpdate('trueHeading'),
'magneticVariation':
lambda self: self._statefulUpdate('magneticVariation'),
'magneticVariationDirection':
lambda self: self._fixHemisphereSign(Angles.VARIATION,
'heading'),
'speedInKnots':
lambda self: self._fixUnits(valueKey='speed',
sourceKey='speedInKnots',
unit='N'),
'positionDilutionOfPrecision':
lambda self: self._statefulUpdate('positionDilutionOfPrecision'),
'horizontalDilutionOfPrecision':
lambda self: self._statefulUpdate('horizontalDilutionOfPrecision'),
'verticalDilutionOfPrecision':
lambda self: self._statefulUpdate('verticalDilutionOfPrecision'),
}
def clear(self):
"""
Resets this adapter.
This will empty the adapter state and the current sentence data.
"""
self._state = {}
self._sentenceData = {}
def sentenceReceived(self, sentence):
"""
Called when a sentence is received.
Will clean the received NMEAProtocol sentence up, and then update the
adapter's state, followed by firing the callbacks.
If the received sentence was invalid, the state will be cleared.
@param sentence: The sentence that is received.
@type sentence: L{NMEASentence}
"""
self.currentSentence = sentence
self._sentenceData = {}
try:
self._validateCurrentSentence()
self._cleanCurrentSentence()
except base.InvalidSentence:
self.clear()
self._updateState()
self._fireSentenceCallbacks()
def _validateCurrentSentence(self):
"""
Tests if a sentence contains a valid fix.
"""
if (self.currentSentence.fixQuality is GPGGAFixQualities.INVALID_FIX
or self.currentSentence.dataMode is GPGLLGPRMCFixQualities.VOID
or self.currentSentence.fixType is GPGSAFixTypes.GSA_NO_FIX):
raise base.InvalidSentence("bad sentence")
def _cleanCurrentSentence(self):
"""
Cleans the current sentence.
"""
for key in sorted(self.currentSentence.presentAttributes):
fixer = self._FIXERS.get(key, None)
if fixer is not None:
fixer(self)
def _updateState(self):
"""
Updates the current state with the new information from the sentence.
"""
self._updateBeaconInformation()
self._combineDateAndTime()
self._state.update(self._sentenceData)
def _updateBeaconInformation(self):
"""
Updates existing beacon information state with new data.
"""
new = self._sentenceData.get('_partialBeaconInformation')
if new is None:
return
self._updateUsedBeacons(new)
self._mergeBeaconInformation(new)
if self.currentSentence._isLastGSVSentence():
if not self.currentSentence._isFirstGSVSentence():
# not a 1-sentence sequence, get rid of partial information
del self._state['_partialBeaconInformation']
bi = self._sentenceData.pop('_partialBeaconInformation')
self._sentenceData['beaconInformation'] = bi
def _updateUsedBeacons(self, beaconInformation):
"""
Searches the adapter state and sentence data for information about
which beacons where used, then adds it to the provided beacon
information object.
If no new beacon usage information is available, does nothing.
@param beaconInformation: The beacon information object that beacon
usage information will be added to (if necessary).
@type beaconInformation: L{twisted.positioning.base.BeaconInformation}
"""
for source in [self._state, self._sentenceData]:
usedPRNs = source.get("_usedPRNs")
if usedPRNs is not None:
break
else: # No used PRN info to update
return
for beacon in beaconInformation.seenBeacons:
if beacon.identifier in usedPRNs:
beaconInformation.usedBeacons.add(beacon)
def _mergeBeaconInformation(self, newBeaconInformation):
"""
Merges beacon information in the adapter state (if it exists) into
the provided beacon information. Specifically, this merges used and
seen beacons.
If the adapter state has no beacon information, does nothing.
@param beaconInformation: The beacon information object that beacon
information will be merged into (if necessary).
@type beaconInformation: L{twisted.positioning.base.BeaconInformation}
"""
old = self._state.get('_partialBeaconInformation')
if old is None:
return
for attr in ["seenBeacons", "usedBeacons"]:
getattr(newBeaconInformation, attr).update(getattr(old, attr))
def _combineDateAndTime(self):
"""
Combines a C{datetime.date} object and a C{datetime.time} object,
collected from one or more NMEA sentences, into a single
C{datetime.datetime} object suitable for sending to the
L{IPositioningReceiver}.
"""
if not any(k in self._sentenceData for k in ["_date", "_time"]):
# If the sentence has neither date nor time, there's
# nothing new to combine here.
return
date, time = [self._sentenceData.get(key) or self._state.get(key)
for key in ('_date', '_time')]
if date is None or time is None:
return
dt = datetime.datetime.combine(date, time)
self._sentenceData['time'] = dt
def _fireSentenceCallbacks(self):
"""
Fires sentence callbacks for the current sentence.
A callback will only fire if all of the keys it requires are present
in the current state and at least one such field was altered in the
current sentence.
The callbacks will only be fired with data from L{self._state}.
"""
iface = ipositioning.IPositioningReceiver
for name, method in iface.namesAndDescriptions():
callback = getattr(self._receiver, name)
kwargs = {}
atLeastOnePresentInSentence = False
try:
for field in method.positional:
if field in self._sentenceData:
atLeastOnePresentInSentence = True
kwargs[field] = self._state[field]
except KeyError:
continue
if atLeastOnePresentInSentence:
callback(**kwargs)
def test_repr(self):
"""
Altitudes report their type and value in their repr.
"""
altitude = base.Altitude(1.)
self.assertEqual(repr(altitude), "<Altitude (1.0 m)>")
