#!/usr/bin/env python3 #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Copyright 2010 California Institute of Technology. ALL RIGHTS RESERVED. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # United States Government Sponsorship acknowledged. This software is subject to # U.S. export control laws and regulations and has been classified as 'EAR99 NLR' # (No [Export] License Required except when exporting to an embargoed country, # end user, or in support of a prohibited end use). By downloading this software, # the user agrees to comply with all applicable U.S. export laws and regulations. # The user has the responsibility to obtain export licenses, or other export # authority as may be required before exporting this software to any 'EAR99' # embargoed foreign country or citizen of those countries. # # Author: Walter Szeliga #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ import os import datetime import isceobj.Sensor.CEOS as CEOS import logging from isceobj.Scene.Frame import Frame from isceobj.Orbit.Orbit import StateVector,Orbit from isceobj.Planet.AstronomicalHandbook import Const from isceobj.Planet.Planet import Planet from iscesys.Component.Component import Component from isceobj.Util.decorators import pickled, logged from isceobj.Sensor import xmlPrefix from isceobj.Util import Poly2D from iscesys.DateTimeUtil import secondsSinceMidnight import numpy as np import struct import pprint LEADERFILE = Component.Parameter( '_leaderFile', public_name='LEADERFILE', default='', type=str, mandatory=True, doc='RadarSAT1 Leader file' ) IMAGEFILE = Component.Parameter( '_imageFile', public_name='IMAGEFILE', default='', type=str, mandatory=True, doc='RadarSAT1 image file' ) PARFILE = Component.Parameter( '_parFile', public_name='PARFILE', default='', type=str, mandatory=False, doc='RadarSAT1 par file' ) from .Sensor import Sensor class Radarsat1(Sensor): """ Code to read CEOSFormat leader files for Radarsat-1 SAR data. The tables used to create this parser are based on document number ER-IS-EPO-GS-5902.1 from the European Space Agency. """ family = 'radarsat1' logging_name = 'isce.sensor.radarsat1' parameter_list = (LEADERFILE, IMAGEFILE, PARFILE) + Sensor.parameter_list auxLength = 50 @logged def __init__(self, name=''): super().__init__(family=self.__class__.family, name=name) self.imageFile = None self.leaderFile = None #####Soecific doppler functions for RSAT1 self.doppler_ref_range = None self.doppler_ref_azi = None self.doppler_predict = None self.doppler_DAR = None self.doppler_coeff = None self.frame = Frame() self.frame.configure() self.constants = {'polarization': 'HH', 'antennaLength': 15} def getFrame(self): return self.frame def parse(self): self.leaderFile = LeaderFile(self, file=self._leaderFile) self.leaderFile.parse() self.imageFile = ImageFile(self, file=self._imageFile) self.imageFile.parse() self.populateMetadata() if self._parFile: self.parseParFile() else: self.populateCEOSOrbit() def populateMetadata(self): """ Create the appropriate metadata objects from our CEOSFormat metadata """ frame = self._decodeSceneReferenceNumber(self.leaderFile.sceneHeaderRecord.metadata['Scene reference number']) try: rangePixelSize = Const.c/(2*self.leaderFile.sceneHeaderRecord.metadata['Range sampling rate']*1e6) except ZeroDivisionError: rangePixelSize = 0 ins = self.frame.getInstrument() platform = ins.getPlatform() platform.setMission(self.leaderFile.sceneHeaderRecord.metadata['Sensor platform mission identifier']) platform.setAntennaLength(self.constants['antennaLength']) platform.setPointingDirection(-1) platform.setPlanet(Planet(pname='Earth')) ins.setRadarWavelength(self.leaderFile.sceneHeaderRecord.metadata['Radar wavelength']) ins.setIncidenceAngle(self.leaderFile.sceneHeaderRecord.metadata['Incidence angle at scene centre']) ##RSAT-1 does not have PRF for raw data in leader file. # self.frame.getInstrument().setPulseRepetitionFrequency(self.leaderFile.sceneHeaderRecord.metadata['Pulse Repetition Frequency']) ins.setRangePixelSize(rangePixelSize) ins.setPulseLength(self.leaderFile.sceneHeaderRecord.metadata['Range pulse length']*1e-6) chirpPulseBandwidth = 15.50829e6 # Is this really not in the CEOSFormat Header? ins.setChirpSlope(chirpPulseBandwidth/(self.leaderFile.sceneHeaderRecord.metadata['Range pulse length']*1e-6)) ins.setInPhaseValue(7.5) ins.setQuadratureValue(7.5) self.frame.setFrameNumber(frame) self.frame.setOrbitNumber(self.leaderFile.sceneHeaderRecord.metadata['Orbit number']) self.frame.setProcessingFacility(self.leaderFile.sceneHeaderRecord.metadata['Processing facility identifier']) self.frame.setProcessingSystem(self.leaderFile.sceneHeaderRecord.metadata['Processing system identifier']) self.frame.setProcessingSoftwareVersion(self.leaderFile.sceneHeaderRecord.metadata['Processing version identifier']) self.frame.setPolarization(self.constants['polarization']) self.frame.setNumberOfLines(self.imageFile.imageFDR.metadata['Number of lines per data set']) self.frame.setNumberOfSamples(self.imageFile.imageFDR.metadata['Number of pixels per line per SAR channel']) self.frame.getOrbit().setOrbitSource('Header') self.frame.getOrbit().setOrbitQuality(self.leaderFile.platformPositionRecord.metadata['Orbital elements designator']) def populateCEOSOrbit(self): from isceobj.Orbit.Inertial import ECI2ECR t0 = datetime.datetime(year=self.leaderFile.platformPositionRecord.metadata['Year of data point'], month=self.leaderFile.platformPositionRecord.metadata['Month of data point'], day=self.leaderFile.platformPositionRecord.metadata['Day of data point']) t0 = t0 + datetime.timedelta(seconds=self.leaderFile.platformPositionRecord.metadata['Seconds of day']) #####Read in orbit in inertial coordinates orb = Orbit() for i in range(self.leaderFile.platformPositionRecord.metadata['Number of data points']): vec = StateVector() t = t0 + datetime.timedelta(seconds=(i*self.leaderFile.platformPositionRecord.metadata['Time interval between DATA points'])) vec.setTime(t) dataPoints = self.leaderFile.platformPositionRecord.metadata['Positional Data Points'][i] vec.setPosition([dataPoints['Position vector X'], dataPoints['Position vector Y'], dataPoints['Position vector Z']]) vec.setVelocity([dataPoints['Velocity vector X']/1000., dataPoints['Velocity vector Y']/1000., dataPoints['Velocity vector Z']/1000.]) orb.addStateVector(vec) #####Convert orbits from ECI to ECEF frame. t0 = orb._stateVectors[0]._time ang = self.leaderFile.platformPositionRecord.metadata['Greenwich mean hour angle'] cOrb = ECI2ECR(orb, GAST=ang, epoch=t0) wgsorb = cOrb.convert() orb = self.frame.getOrbit() for sv in wgsorb: orb.addStateVector(sv) print(sv) def extractImage(self): import isceobj if (self.imageFile is None) or (self.leaderFile is None): self.parse() try: out = open(self.output, 'wb') except IOError as strerr: self.logger.error("IOError: %s" % strerr) self.imageFile.extractImage(output=out) out.close() ####RSAT1 is weird. Contains all useful info in RAW data and not leader. ins = self.frame.getInstrument() ins.setPulseRepetitionFrequency(self.imageFile.prf) ins.setPulseLength(self.imageFile.pulseLength) ins.setRangeSamplingRate(self.imageFile.rangeSamplingRate) ins.setRangePixelSize( Const.c/ (2*self.imageFile.rangeSamplingRate)) ins.setChirpSlope(self.imageFile.chirpSlope) ###### self.frame.setSensingStart(self.imageFile.sensingStart) sensingStop = self.imageFile.sensingStart + datetime.timedelta(seconds = ((self.frame.getNumberOfLines()-1)/self.imageFile.prf)) sensingMid = self.imageFile.sensingStart + datetime.timedelta(seconds = 0.5* (sensingStop - self.imageFile.sensingStart).total_seconds()) self.frame.setSensingStop(sensingStop) self.frame.setSensingMid(sensingMid) self.frame.setNumberOfSamples(self.imageFile.width) self.frame.setStartingRange(self.imageFile.startingRange) farRange = self.imageFile.startingRange + ins.getRangePixelSize() * self.imageFile.width* 0.5 self.frame.setFarRange(farRange) rawImage = isceobj.createRawImage() rawImage.setByteOrder('l') rawImage.setAccessMode('read') rawImage.setFilename(self.output) rawImage.setWidth(self.imageFile.width) rawImage.setXmin(0) rawImage.setXmax(self.imageFile.width) rawImage.renderHdr() self.frame.setImage(rawImage) def parseParFile(self): '''Parse the par file if any is available.''' if self._parFile not in (None, ''): par = ParFile(self._parFile) ####Update orbit svs = par['prep_block']['sensor']['ephemeris']['sv_block']['state_vector'] datefmt='%Y%m%d%H%M%S%f' for entry in svs: sv = StateVector() sv.setPosition([float(entry['x']), float(entry['y']), float(entry['z'])]) sv.setVelocity([float(entry['xv']), float(entry['yv']), float(entry['zv'])]) sv.setTime(datetime.datetime.strptime(entry['Date'], datefmt)) self.frame.orbit.addStateVector(sv) self.frame.orbit._stateVectors = sorted(self.frame.orbit._stateVectors, key=lambda x: x.getTime()) doppinfo = par['prep_block']['sensor']['beam']['DopplerCentroidParameters'] #######Selectively update some values. #######Currently used only for doppler centroids. self.doppler_ref_range = float(doppinfo['reference_range']) self.doppler_ref_azi = datetime.datetime.strptime(doppinfo['reference_date'], '%Y%m%d%H%M%S%f') self.doppler_predict = float(doppinfo['Predict_doppler']) self.doppler_DAR = float(doppinfo['DAR_doppler']) coeff = doppinfo['doppler_centroid_coefficients'] rngOrder = int(coeff['number_of_coefficients_first_dimension'])-1 azOrder = int(coeff['number_of_coefficients_second_dimension'])-1 self.doppler_coeff = Poly2D.Poly2D() self.doppler_coeff.initPoly(rangeOrder = rngOrder, azimuthOrder=azOrder) self.doppler_coeff.setMeanRange(self.doppler_ref_range) self.doppler_coeff.setMeanAzimuth(secondsSinceMidnight(self.doppler_ref_azi)) parms = [] for ii in range(azOrder+1): row = [] for jj in range(rngOrder+1): key = 'a%d%d'%(ii,jj) val = float(coeff[key]) row.append(val) parms.append(row) self.doppler_coeff.setCoeffs(parms) def extractDoppler(self): ''' Evaluate the doppler polynomial and return the average value for now. ''' rmin = self.frame.getStartingRange() rmax = self.frame.getFarRange() rmid = 0.5*(rmin + rmax) delr = Const.c/ (2*self.frame.instrument.rangeSamplingRate) azmid = secondsSinceMidnight(self.frame.getSensingMid()) print(rmid, self.doppler_coeff.getMeanRange()) print(azmid, self.doppler_coeff.getMeanAzimuth()) if self.doppler_coeff is None: raise Exception('ASF PARFILE was not provided. Cannot determine default doppler.') dopav = self.doppler_coeff(azmid, rmid) prf = self.frame.getInstrument().getPulseRepetitionFrequency() quadratic = {} quadratic['a'] = dopav / prf quadratic['b'] = 0. quadratic['c'] = 0. ######Set up the doppler centroid computation just like CSK at mid azimuth order = self.doppler_coeff._rangeOrder rng = np.linspace(rmin, rmax, num=(order+2)) pix = (rng - rmin)/delr val =[self.doppler_coeff(azmid,x) for x in rng] print(rng,val) print(delr, pix) fit = np.polyfit(pix, val, order) self.frame._dopplerVsPixel = list(fit[::-1]) # self.frame._dopplerVsPixel = [dopav,0.,0.,0.] return quadratic def _decodeSceneReferenceNumber(self,referenceNumber): return referenceNumber class LeaderFile(object): def __init__(self, parent, file=None): self.parent = parent self.file = file self.leaderFDR = None self.sceneHeaderRecord = None self.platformPositionRecord = None def parse(self): """ Parse the leader file to create a header object """ try: fp = open(self.file,'rb') except IOError as errs: errno,strerr = errs print("IOError: %s" % strerr) return # Leader record self.leaderFDR = CEOS.CEOSDB(xml=os.path.join(xmlPrefix,'radarsat/leader_file.xml'),dataFile=fp) self.leaderFDR.parse() fp.seek(self.leaderFDR.getEndOfRecordPosition()) # Scene Header self.sceneHeaderRecord = CEOS.CEOSDB(xml=os.path.join(xmlPrefix,'radarsat/scene_record.xml'),dataFile=fp) self.sceneHeaderRecord.parse() fp.seek(self.sceneHeaderRecord.getEndOfRecordPosition()) # Platform Position self.platformPositionRecord = CEOS.CEOSDB(xml=os.path.join(xmlPrefix,'radarsat/platform_position_record.xml'),dataFile=fp) self.platformPositionRecord.parse() fp.seek(self.platformPositionRecord.getEndOfRecordPosition()) fp.close() class VolumeDirectoryFile(object): def __init__(self,file=None): self.file = file self.metadata = {} def parse(self): try: fp = open(self.file,'rb') except IOError as errs: errno,strerr = errs print("IOError: %s" % strerr) return volumeFDR = CEOS.CEOSDB(xml=os.path.join(xmlPrefix,'radarsat/volume_descriptor.xml'),dataFile=fp) volumeFDR.parse() fp.seek(volumeFDR.getEndOfRecordPosition()) fp.close() pprint.pprint(volumeFDR.metadata) class ImageFile(object): maxLineGap = 126 rsatSMO = 129.2683e6 oneWayDelay = 2.02e-6 beamToRangeGateEdge = { '1' : [7, 428], '2' : [7, 428], '3' : [8, 176], '4' : [8, 176], '5' : [8, 176], '6' : [9, 176], '7' : [9, 176], '16': [8, 176], '17': [8, 176], '18': [8, 176], '19': [9, 176], '20': [9, 176]} def __init__(self, parent, file=None): self.parent = parent self.file = file self.prf = None self.pulseLength = None self.rangeSamplingRate = None self.chirpSlope = None self.imageFDR = None self.sensingStart = None self.image_record = os.path.join(xmlPrefix,'radarsat/image_record.xml') self.logger = logging.getLogger('isce.sensor.rsat1') def parse(self): try: fp = open(self.file,'rb') except IOError as errs: errno,strerr = errs print("IOError: %s" % strerr) return self.imageFDR = CEOS.CEOSDB(xml=os.path.join(xmlPrefix,'radarsat/image_file.xml'), dataFile=fp) self.imageFDR.parse() fp.seek(self.imageFDR.getEndOfRecordPosition()) self._calculateRawDimensions(fp) fp.close() def extractAUXinformation(self, fp): ''' Read 50 bytes of data and interpret the aux information. Does not CEOS reader format as we want access to sub-byte data. Currently only extracts the ones we want. ''' #% The parameters encoded in the auxilary data bits are defined in RSI-D6 #% also known as RSCSA-IC0009 (X-band ICD) #% ------------------------------------------------------------------------- #% PARAMETER NAME LOCATION LENGTH ID #% ------------------------------------------------------------------------- #% aux_sync_marker = aux_bits (:, 1: 32); % 32 bit - 1 #% image_ref_id = aux_bits (:, 33: 64); % 32 bit - 2 #% payload_status = aux_bits (:, 65: 80); % 16 bit - 3 #% replica_AGC = aux_bits (:, 81: 86); % 6 bit - 4 #% CALN_atten_LPT_pow_set = aux_bits (:, 89: 96); % 8 bit - 6 #% pulse_waveform_number = aux_bits (:, 97: 100); % 4 bit - 7 #% temperature = aux_bits (:, 113: 144); % 32 bit - 9 #% beam_sequence = aux_bits (:, 145: 160); % 16 bit - 10 #% ephemeris = aux_bits (:, 161: 176); % 16 bit - 11 #% number_of_beams = aux_bits (:, 177: 178); % 2 bit - 12 #% ADC_rate = aux_bits (:, 179: 180); % 2 bit - 13 #% pulse_count_1 = aux_bits (:, 185: 192); % 8 bit - 15 #% pulse_count_2 = aux_bits (:, 193: 200); % 8 bit - 16 #% PRF_beam = aux_bits (:, 201: 213); % 13 bit - 17 #% beam_select = aux_bits (:, 214: 215); % 2 bit - 18 #% Rx_window_start_time = aux_bits (:, 217: 228); % 12 bit - 20 #% Rx_window_duration = aux_bits (:, 233: 244); % 12 bit - 22 #% altitude = aux_bits (:, 249: 344); % 96 bit - 24 #% time = aux_bits (:, 345: 392); % 48 bit - 25 #% SC_T02_defaults = aux_bits (:, 393: 393); % 1 bit - 26 #% first_replica = aux_bits (:, 394: 394); % 1 bit - 27 #% Rx_AGC_setting = aux_bits (:, 395: 400); % 6 bit - 28 #% ------------------------------------------------------------------------- #% Total => 50 bytes (400 bits) #% ------------------------------------------------------------------------- aux_bytes = np.fromfile(fp, dtype='B', count=self.parent.auxLength) metadata = {} sec = (np.bitwise_and(aux_bytes[44], np.byte(31)) << 12) | (np.bitwise_and(aux_bytes[45], np.byte(255)) << 4) | (np.bitwise_and(aux_bytes[46], np.byte(240)) >> 4) millis = (np.bitwise_and(aux_bytes[46], np.byte(15)) << 6 ) | (np.bitwise_and(aux_bytes[47], np.byte(252)) >> 2) micros = (np.bitwise_and(aux_bytes[47], np.byte(3)) << 8) | np.bitwise_and(aux_bytes[48], np.byte(255)) metadata['Record Time'] = sec + millis*1.0e-3 + micros*1.0e-6 adc_code = np.bitwise_and(aux_bytes[22], np.byte(63)) >> 4 prf_code = (np.bitwise_and(aux_bytes[25], np.byte(255)) << 5) | (np.bitwise_and(aux_bytes[26], np.byte(255)) >> 3) timeBase = (4.0 + 3.0*adc_code)/self.rsatSMO dwp_code = (np.bitwise_and(aux_bytes[27], np.byte(255)) <<4) | (np.bitwise_and(aux_bytes[28], np.byte(240)) >> 4) dwp = (5 + dwp_code)*6*timeBase beam = struct.unpack(">H", aux_bytes[18:20])[0] metadata['PRF'] = 1.0/((2+prf_code)*6.0*timeBase) metadata['fsamp'] = 1.0 / timeBase metadata['hasReplica'] = np.bitwise_and(aux_bytes[49] >> 6, 1) metadata['code'] = aux_bytes[25:27] metadata['beam'] = beam # metadata['Pulse length'] = int(0.000044559/timeBase)*2 metadata['Pulse length'] = 42.0e-6 metadata['Replica length'] = 2*int(0.000044559/timeBase) if metadata['fsamp'] > 30.0e6: metadata['Chirp slope'] = -7.214e11 elif metadata['fsamp'] > 15.0e6: metadata['Chirp slope'] = -4.1619047619047619629e11 else: metadata['Chirp slope'] = -2.7931e11 rangeGateFactor, rightEdge = self.beamToRangeGateEdge[str(beam)] metadata['Starting Range'] = 0.5*Const.c* (dwp + rangeGateFactor/metadata['PRF'] - (2.0 * self.oneWayDelay)) return metadata def writeRawData(self, fp, line): ''' Radarsat stores the raw data in a format different from needed for ISCE or ROI_PAC. ''' mask = line >= 8 line[mask] -= 8 line[np.logical_not(mask)] += 8 line.tofile(fp) def extractImage(self, output=None): """ Extract I and Q channels from the image file """ if self.imageFDR is None: self.parse() try: fp = open(self.file, 'rb') except IOError as strerr: self.logger.error(" IOError: %s" % strerr) return fp.seek(self.imageFDR.getEndOfRecordPosition(),os.SEEK_SET) auxLength = self.parent.auxLength prf = self.parent.leaderFile.sceneHeaderRecord.metadata['Pulse Repetition Frequency'] # Extract the I and Q channels imageData = CEOS.CEOSDB(xml=self.image_record,dataFile=fp) firstRecTime = None nominalPRF = None nominalPulseLength = None nominalRangeSamplingRate = None nominalChirpSlope = None nominalStartingRange = None startUTC = None lineCount = 0 lineWidth = 0 for line in range(self.length): if ((line%1000) == 0): self.logger.debug("Extracting line %s" % line) imageData.parseFast() auxData = self.extractAUXinformation(fp) # pprint.pprint(imageData.metadata) #####Check length of current record #######12 CEOS + 180 prefix + 50 dataLen = imageData.recordLength - self.imageFDR.metadata['Number of bytes of prefix data per record'] - auxLength-12 recTime = auxData['Record Time'] if firstRecTime is None: firstRecTime = recTime nominalPRF = auxData['PRF'] nominalPulseLength = auxData['Pulse length'] nominalChirpSlope = auxData['Chirp slope'] nominalRangeSamplingRate = auxData['fsamp'] nominalStartingRange = auxData['Starting Range'] replicaLength = auxData['Replica length'] startUTC = datetime.datetime(imageData.metadata['Sensor acquisition year'],1,1) + datetime.timedelta(imageData.metadata['Sensor acquisition day of year']-1) + datetime.timedelta(seconds=auxData['Record Time']) prevRecTime = recTime # pprint.pprint(imageData.metadata) if (auxData['hasReplica']): lineWidth = dataLen - replicaLength else: lineWidth = dataLen # pprint.pprint(auxData) IQLine = np.fromfile(fp, dtype='B', count=dataLen) if (recTime > (prevRecTime + 0.001)): self.logger.debug('Time gap of %f sec at RecNum %d'%(recTime-prevRecTime, imageData.metadata['Record Number'])) if (auxData['hasReplica']): # self.logger.debug("Removing replica from Line %s" % line) IQLine[0:dataLen-replicaLength]= IQLine[replicaLength:dataLen] IQLine[dataLen-replicaLength:] = 16 dataLen = dataLen-replicaLength # print('Line: ', line, dataLen, lineWidth, auxData['Replica length']) if dataLen >= lineWidth: IQout = IQLine else: IQout = 16 * np.ones(lineWidth, dtype='b') IQout[:dataLen] = IQLine lineGap = int(0.5+(recTime-prevRecTime)*nominalPRF) if ((lineGap == 1) or (line==0)): self.writeRawData(output, IQout[:lineWidth]) lineCount += 1 prevRecTime = recTime elif ((lineGap > 1) and (lineGap < self.maxLineGap)): for kk in range(lineGap): self.writeRawData(output, IQout[:lineWidth]) lineCount += 1 prevRecTime = recTime + (lineGap - 1)*8.0e-4 elif (lineGap >= self.maxLineGap): raise Exception('Line Gap too big to be filled') self.prf = nominalPRF self.chirpSlope = nominalChirpSlope self.rangeSamplingRate = nominalRangeSamplingRate self.pulseLength = nominalPulseLength self.startingRange = nominalStartingRange self.sensingStart = startUTC self.length = lineCount self.width = lineWidth def _calculateRawDimensions(self,fp): """ Run through the data file once, and calculate the valid sampling window start time range. """ self.length = self.imageFDR.metadata['Number of SAR DATA records'] self.width = self.imageFDR.metadata['SAR DATA record length'] return None class Node(object): def __init__(self, parent): self.parent = parent self.data = {} def __getitem__(self, key): return self.data[key] def __setitem__(self, key, val): self.data[key] = val class ParFile(object): ''' Read ASF format parfile. ''' def __init__(self, filename): self.filename = filename self.data = Node(None) self.parse() def __getitem__(self, key): return self.data[key] def parse(self): fid = open(self.filename, 'r') data = fid.readlines() fid.close() node = self.data for line in data: inline = line.strip() if inline == '': continue #####If start of section if inline.endswith('{'): sectionName = inline.split()[0] newNode = Node(node) if sectionName in node.data.keys(): # print(node[sectionName]) # print('Entering same named section: ', sectionName) if not isinstance(node[sectionName], list): node[sectionName] = [ node[sectionName] ] node[sectionName].append(newNode) else: node[sectionName] = newNode node = newNode ######If end of section elif inline.startswith('}'): node = node.parent #####Actually has some data else: try: (key, val) = inline.split(':') except: raise Exception('Could not parse line: ', inline) node[key.strip()] = val.strip()