def getSensorDataSummary(sensorId, locationMessage): sensor = SensorDb.getSensorObj(sensorId) if sensor is None: return {STATUS: NOK, ERROR_MESSAGE: "Sensor Not found"} measurementType = sensor.getMeasurementType() tzId = locationMessage[TIME_ZONE_KEY] acquisitionCount = LocationMessage.getMessageCount(locationMessage) util.debugPrint("AquistionCount " + str(acquisitionCount)) if acquisitionCount == 0: return { "status": "OK", "minOccupancy": 0, "tStartReadings": 0, "tStartLocalTime": 0, "tStartLocalTimeFormattedTimeStamp": "UNKNOWN", "tStartDayBoundary": 0, "tEndDayBoundary": 0, "tEndReadings": 0, "tEndLocalTimeFormattedTimeStamp": "UNKNOWN", "maxOccupancy": 0, "measurementType": measurementType, "isStreamingEnabled": sensor.isStreamingEnabled(), "sensorStatus": sensor.getSensorStatus(), COUNT: 0 } minTime = LocationMessage.getFirstDataMessageTimeStamp(locationMessage) maxTime = LocationMessage.getLastDataMessageTimeStamp(locationMessage) tStartDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( minTime, tzId) (minLocalTime, tStartLocalTimeTzName) = timezone.getLocalTime(minTime, tzId) tEndDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( maxTime, tzId) tstampMin = timezone.formatTimeStampLong(minTime, tzId) tstampMax = timezone.formatTimeStampLong(maxTime, tzId) retval = { "status": "OK", "maxOccupancy": 0, "minOccupancy": 0, "tStartReadings": minTime, "tStartLocalTime": minLocalTime, "tStartLocalTimeFormattedTimeStamp": tstampMin, "tStartDayBoundary": tStartDayBoundary, "tEndDayBoundary": tEndDayBoundary, "tEndReadings": maxTime, "tEndLocalTimeFormattedTimeStamp": tstampMax, "measurementType": measurementType, "isStreamingEnabled": sensor.isStreamingEnabled(), "sensorStatus": sensor.getSensorStatus(), COUNT: acquisitionCount } return retval
def getPrevDayBoundary(msg): """ get the previous acquisition day boundary. """ prevMsg = getPrevAcquisition(msg) if prevMsg is None: locationMessage = getLocationMessage(msg) return timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg['t'], locationMessage[TIME_ZONE_KEY]) locationMessage = msgutils.getLocationMessage(prevMsg) timeZone = locationMessage[TIME_ZONE_KEY] return timezone.getDayBoundaryTimeStampFromUtcTimeStamp( prevMsg['t'], timeZone)
def getDayBoundaryTimeStamp(msg): """ Get the universal time stamp for the day boundary of this message. """ locationMessage = getLocationMessage(msg) timeZone = locationMessage[TIME_ZONE_KEY] return timezone.getDayBoundaryTimeStampFromUtcTimeStamp(msg['t'], timeZone)
def getMinDayBoundaryForAcquistions(msg): """ Get the minimum day boundary for acquistions assocaiated with this msg. """ locationMsg = getLocationMessage(msg) timeStamp = locationMsg["firstDataMessageTimeStamp"] tzId = msg[TIME_ZONE_KEY] return timezone.getDayBoundaryTimeStampFromUtcTimeStamp(timeStamp, tzId)
def getNextDayBoundary(msg): """ get the next acquistion day boundary. """ nextMsg = getNextAcquisition(msg) if nextMsg is None: locationMessage = getLocationMessage(msg) return timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg['t'], locationMessage[TIME_ZONE_KEY]) locationMessage = getLocationMessage(nextMsg) timeZone = locationMessage[TIME_ZONE_KEY] nextDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( nextMsg['t'], timeZone) if DebugFlags.debug: thisDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg['t'], locationMessage[TIME_ZONE_KEY]) util.debugPrint("getNextDayBoundary: dayBoundary difference " + str((nextDayBoundary - thisDayBoundary) / 60 / 60)) return nextDayBoundary
def getEvents(sensorId, startTime, days): captureDb = DbCollections.getCaptureEventDb(sensorId) if startTime > 0: query = {SENSOR_ID: sensorId, "t": {"$gte": startTime}} captureEvent = captureDb.find_one(query) if captureEvent is None: return {STATUS: OK, "events": []} locationMessage = msgutils.getLocationMessage(captureEvent) if locationMessage is None: return {STATUS: NOK, "ErrorMessage": "Location message not found"} tZId = locationMessage[TIME_ZONE_KEY] timeStamp = captureEvent['t'] startTimeDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( timeStamp, tZId) endTime = startTimeDayBoundary + days * SECONDS_PER_DAY query = {"t": {"$gte": startTimeDayBoundary}, "t": {"$lte": endTime}} else: query = {} captureEvent = captureDb.find_one() if captureEvent is None: return {STATUS: OK, "events": []} locationMessage = msgutils.getLocationMessage(captureEvent) if locationMessage is None: return {STATUS: NOK, "ErrorMessage": "Location message not found"} timeStamp = captureEvent['t'] tZId = locationMessage[TIME_ZONE_KEY] startTime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( timeStamp, tZId) if days > 0: endTime = startTime + days * SECONDS_PER_DAY query = {"t": {"$gte": startTime}, "t": {"$lte": endTime}} else: query = {"t": {"$gte": startTime}} found = captureDb.find(query) retval = [] if found is not None: for value in found: del value["_id"] retval.append(value) return {STATUS: OK, "events": retval}
def testGetDayBoundaryOffset(self): global tzId t = timezone.getLocalUtcTimeStamp() startOfToday = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( t, tzId) self.assertTrue(t > startOfToday) delta = t - startOfToday now = datetime.datetime.now() hourOffset = now.hour minOffset = now.minute secondOffset = now.second newDelta = hourOffset * 60 * 60 + minOffset * 60 + secondOffset self.assertTrue(abs(newDelta - delta) < 2)
def getDailyMaxMinMeanStats(sensorId, lat, lon, alt, tstart, ndays, sys2detect, fmin, fmax, subBandMinFreq, subBandMaxFreq): locationMessage = DbCollections.getLocationMessages().find_one({ SENSOR_ID: sensorId, LAT: lat, LON: lon, ALT: alt }) if locationMessage is None: return {STATUS: NOK, ERROR_MESSAGE: "Location Information Not Found"} locationMessageId = str(locationMessage["_id"]) tZId = locationMessage[TIME_ZONE_KEY] tmin = timezone.getDayBoundaryTimeStampFromUtcTimeStamp(tstart, tZId) startMessage = DbCollections.getDataMessages(sensorId).find_one() result = {} result[STATUS] = OK values = {} for day in range(0, ndays): tstart = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( tmin + day * SECONDS_PER_DAY, tZId) tend = tstart + SECONDS_PER_DAY queryString = { LOCATION_MESSAGE_ID: locationMessageId, TIME: { '$gte': tstart, '$lte': tend }, FREQ_RANGE: msgutils.freqRange(sys2detect, fmin, fmax) } cur = DbCollections.getDataMessages(sensorId).find(queryString) # cur.batch_size(20) if startMessage['mType'] == FFT_POWER: stats = compute_daily_max_min_mean_stats_for_fft_power(cur) else: stats = compute_daily_max_min_mean_median_stats_for_swept_freq( cur, subBandMinFreq, subBandMaxFreq) # gap in readings. continue. if stats is None: continue (cutoff, dailyStat) = stats values[day * 24] = dailyStat # Now compute the next interval after the last one (if one exists) tend = tmin + SECONDS_PER_DAY * ndays queryString = { LOCATION_MESSAGE_ID: locationMessageId, TIME: { '$gte': tend }, FREQ_RANGE: msgutils.freqRange(sys2detect, fmin, fmax) } msg = DbCollections.getDataMessages(sensorId).find_one(queryString) if msg is None: result["nextTmin"] = tmin else: nextTmin = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg[TIME], tZId) result["nextTmin"] = nextTmin # Now compute the previous interval before this one. prevMessage = msgutils.getPrevAcquisition(startMessage) if prevMessage is not None: newTmin = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( prevMessage[TIME] - SECONDS_PER_DAY * ndays, tZId) queryString = { LOCATION_MESSAGE_ID: locationMessageId, TIME: { '$gte': newTmin }, FREQ_RANGE: msgutils.freqRange(sys2detect, fmin, fmax) } msg = DbCollections.getDataMessages(sensorId).find_one(queryString) else: msg = startMessage sensor = SensorDb.getSensorObj(sensorId) channelCount = sensor.getChannelCount(sys2detect, fmin, fmax) result[STATUS] = OK result["prevTmin"] = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg[TIME], tZId) result["tmin"] = tmin result["maxFreq"] = fmin result["minFreq"] = fmax result["cutoff"] = cutoff result[CHANNEL_COUNT] = channelCount result["startDate"] = timezone.formatTimeStampLong(tmin, tZId) result["values"] = values util.debugPrint(result) return result
def generateSingleDaySpectrogramAndOccupancyForSweptFrequency( sensorId, lat, lon, alt, sessionId, startTime, sys2detect, fstart, fstop, subBandMinFreq, subBandMaxFreq, cutoff): """ Generate single day spectrogram and occupancy for SweptFrequency Parameters: - msg: the data message - sessionId: login session id. - startTime: absolute start time. - sys2detect: the system to detect. - fstart: start frequency. - fstop: stop frequency - subBandMinFreq: min freq of subband. - subBandMaxFreq: max freq of subband. - cutoff: occupancy threshold. """ try: chWidth = Config.getScreenConfig()[CHART_WIDTH] chHeight = Config.getScreenConfig()[CHART_HEIGHT] locationMessage = DbCollections.getLocationMessages().find_one({ SENSOR_ID: sensorId, LAT: lat, LON: lon, ALT: alt }) if locationMessage is None: return {STATUS: NOK, ERROR_MESSAGE: "Location message not found"} tz = locationMessage[TIME_ZONE_KEY] startTimeUtc = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( startTime, tz) startMsg = DbCollections.\ getDataMessages(sensorId).find_one( {TIME:{"$gte":startTimeUtc}, LOCATION_MESSAGE_ID:str(locationMessage["_id"]), FREQ_RANGE:msgutils.freqRange(sys2detect, fstart, fstop)}) if startMsg is None: util.debugPrint("Not found") return {STATUS: NOK, ERROR_MESSAGE: "Data Not Found"} if DataMessage.getTime(startMsg) - startTimeUtc > SECONDS_PER_DAY: util.debugPrint("Not found - outside day boundary: " + str(startMsg['t'] - startTimeUtc)) return { STATUS: NOK, ERROR_MESSAGE: "Not found - outside day boundary." } msg = startMsg sensorId = msg[SENSOR_ID] powerValues = msgutils.trimSpectrumToSubBand(msg, subBandMinFreq, subBandMaxFreq) vectorLength = len(powerValues) if cutoff is None: cutoff = DataMessage.getThreshold(msg) else: cutoff = int(cutoff) spectrogramFile = sessionId + "/" + sensorId + "." + str( startTimeUtc) + "." + str(cutoff) + "." + str( subBandMinFreq) + "." + str(subBandMaxFreq) spectrogramFilePath = util.getPath( STATIC_GENERATED_FILE_LOCATION) + spectrogramFile powerVal = np.array( [cutoff for i in range(0, MINUTES_PER_DAY * vectorLength)]) spectrogramData = powerVal.reshape(vectorLength, MINUTES_PER_DAY) # artificial power value when sensor is off. sensorOffPower = np.transpose( np.array([2000 for i in range(0, vectorLength)])) prevMessage = msgutils.getPrevAcquisition(msg) if prevMessage is None: util.debugPrint("prevMessage not found") prevMessage = msg prevAcquisition = sensorOffPower else: prevAcquisitionTime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( prevMessage['t'], tz) util.debugPrint("prevMessage[t] " + str(prevMessage['t']) + " msg[t] " + str(msg['t']) + " prevDayBoundary " + str(prevAcquisitionTime)) prevAcquisition = np.transpose( np.array( msgutils.trimSpectrumToSubBand(prevMessage, subBandMinFreq, subBandMaxFreq))) occupancy = [] timeArray = [] maxpower = -1000 minpower = 1000 # Note that we are starting with the first message. count = 1 while True: acquisition = msgutils.trimSpectrumToSubBand( msg, subBandMinFreq, subBandMaxFreq) occupancyCount = float( len(filter(lambda x: x >= cutoff, acquisition))) occupancyVal = occupancyCount / float(len(acquisition)) occupancy.append(occupancyVal) minpower = np.minimum(minpower, msgutils.getMinPower(msg)) maxpower = np.maximum(maxpower, msgutils.getMaxPower(msg)) if prevMessage['t1'] != msg['t1']: # GAP detected so fill it with sensorOff sindex = get_index(DataMessage.getTime(prevMessage), startTimeUtc) if get_index(DataMessage.getTime(prevMessage), startTimeUtc) < 0: sindex = 0 for i in range( sindex, get_index(DataMessage.getTime(msg), startTimeUtc)): spectrogramData[:, i] = sensorOffPower elif DataMessage.getTime(prevMessage) > startTimeUtc: # Prev message is the same tstart and prevMessage is in the range of interest. # Sensor was not turned off. # fill forward using the prev acquisition. for i in range( get_index(DataMessage.getTime(prevMessage), startTimeUtc), get_index(msg["t"], startTimeUtc)): spectrogramData[:, i] = prevAcquisition else: # forward fill from prev acquisition to the start time # with the previous power value for i in range( 0, get_index(DataMessage.getTime(msg), startTimeUtc)): spectrogramData[:, i] = prevAcquisition colIndex = get_index(DataMessage.getTime(msg), startTimeUtc) spectrogramData[:, colIndex] = acquisition timeArray.append( float(DataMessage.getTime(msg) - startTimeUtc) / float(3600)) prevMessage = msg prevAcquisition = acquisition msg = msgutils.getNextAcquisition(msg) if msg is None: lastMessage = prevMessage for i in range( get_index(DataMessage.getTime(prevMessage), startTimeUtc), MINUTES_PER_DAY): spectrogramData[:, i] = sensorOffPower break elif DataMessage.getTime(msg) - startTimeUtc >= SECONDS_PER_DAY: if msg['t1'] == prevMessage['t1']: for i in range( get_index(DataMessage.getTime(prevMessage), startTimeUtc), MINUTES_PER_DAY): spectrogramData[:, i] = prevAcquisition else: for i in range( get_index(DataMessage.getTime(prevMessage), startTimeUtc), MINUTES_PER_DAY): spectrogramData[:, i] = sensorOffPower lastMessage = prevMessage break count = count + 1 # generate the spectrogram as an image. if not os.path.exists(spectrogramFilePath + ".png"): fig = plt.figure(figsize=(chWidth, chHeight)) frame1 = plt.gca() frame1.axes.get_xaxis().set_visible(False) frame1.axes.get_yaxis().set_visible(False) cmap = plt.cm.spectral cmap.set_under(UNDER_CUTOFF_COLOR) cmap.set_over(OVER_CUTOFF_COLOR) dirname = util.getPath(STATIC_GENERATED_FILE_LOCATION) + sessionId if maxpower < cutoff: maxpower = cutoff minpower = cutoff if not os.path.exists(dirname): os.makedirs(dirname) fig = plt.imshow(spectrogramData, interpolation='none', origin='lower', aspect='auto', vmin=cutoff, vmax=maxpower, cmap=cmap) util.debugPrint("Generated fig") plt.savefig(spectrogramFilePath + '.png', bbox_inches='tight', pad_inches=0, dpi=100) plt.clf() plt.close() else: util.debugPrint("File exists - not generating image") util.debugPrint("FileName: " + spectrogramFilePath + ".png") util.debugPrint("Reading " + spectrogramFilePath + ".png") # get the size of the generated png. reader = png.Reader(filename=spectrogramFilePath + ".png") (width, height, pixels, metadata) = reader.read() util.debugPrint("width = " + str(width) + " height = " + str(height)) # generate the colorbar as a separate image. if not os.path.exists(spectrogramFilePath + ".cbar.png"): norm = mpl.colors.Normalize(vmin=cutoff, vmax=maxpower) fig = plt.figure(figsize=(chWidth * 0.3, chHeight * 1.2)) ax1 = fig.add_axes([0.0, 0, 0.1, 1]) mpl.colorbar.ColorbarBase(ax1, cmap=cmap, norm=norm, orientation='vertical') plt.savefig(spectrogramFilePath + '.cbar.png', bbox_inches='tight', pad_inches=0, dpi=50) plt.clf() plt.close() else: util.debugPrint(spectrogramFilePath + ".cbar.png" + " exists -- not generating") localTime, tzName = timezone.getLocalTime(startTimeUtc, tz) # step back for 24 hours. prevAcquisitionTime = msgutils.getPrevDayBoundary(startMsg) nextAcquisitionTime = msgutils.getNextDayBoundary(lastMessage) meanOccupancy = np.mean(occupancy) maxOccupancy = np.max(occupancy) minOccupancy = np.min(occupancy) medianOccupancy = np.median(occupancy) result = { "spectrogram": Config.getGeneratedDataPath() + "/" + spectrogramFile + ".png", "cbar": Config.getGeneratedDataPath() + "/" + spectrogramFile + ".cbar.png", "maxPower": maxpower, "maxOccupancy": maxOccupancy, "minOccupancy": minOccupancy, "meanOccupancy": meanOccupancy, "medianOccupancy": medianOccupancy, "cutoff": cutoff, "aquisitionCount": count, "minPower": minpower, "tStartTimeUtc": startTimeUtc, "timeDelta": HOURS_PER_DAY, "prevAcquisition": prevAcquisitionTime, "nextAcquisition": nextAcquisitionTime, "formattedDate": timezone.formatTimeStampLong(startTimeUtc, tz), "image_width": float(width), "image_height": float(height) } result["timeArray"] = timeArray result["occupancyArray"] = occupancy if "ENBW" in lastMessage["mPar"]: enbw = lastMessage["mPar"]["ENBW"] result["ENBW"] = enbw if "RBW" in lastMessage["mPar"]: rbw = lastMessage["mPar"]["RBW"] result["RBW"] = rbw result[STATUS] = OK util.debugPrint(result) return result except: print "Unexpected error:", sys.exc_info()[0] print sys.exc_info() traceback.print_exc() util.logStackTrace(sys.exc_info()) raise
def generatePowerVsTimeForSweptFrequency(sensorId, startTime, freqHz, sessionId): """ generate a power vs. time plot for swept frequency readings. The plot is generated for a period of one day. """ chWidth = Config.getScreenConfig()[CHART_WIDTH] chHeight = Config.getScreenConfig()[CHART_HEIGHT] dataMessages = DbCollections.getDataMessages(sensorId) if dataMessages is None: return { STATUS: NOK, ERROR_MESSAGE: "Data Message Collection not found" } msg = dataMessages.find_one({ SENSOR_ID: sensorId, "t": { "$gt": int(startTime) } }) (maxFreq, minFreq) = msgutils.getMaxMinFreq(msg) locationMessage = msgutils.getLocationMessage(msg) timeZone = locationMessage[TIME_ZONE_KEY] if freqHz > maxFreq: freqHz = maxFreq if freqHz < minFreq: freqHz = minFreq n = int(msg["mPar"]["n"]) freqIndex = int( float(freqHz - minFreq) / float(maxFreq - minFreq) * float(n)) powerArray = [] timeArray = [] startTime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg['t'], timeZone) while True: data = msgutils.getData(msg) powerArray.append(data[freqIndex]) timeArray.append(float(msg['t'] - startTime) / float(3600)) nextMsg = msgutils.getNextAcquisition(msg) if nextMsg is None: break elif nextMsg['t'] - startTime > SECONDS_PER_DAY: break else: msg = nextMsg plt.figure(figsize=(chWidth, chHeight)) plt.xlim([0, 23]) freqMHz = float(freqHz) / 1E6 title = "Power vs. Time at " + str(freqMHz) + " MHz" plt.title(title) xlabel = "Time (H) from start of day" plt.xlabel(xlabel) ylabel = "Signal Power (dBm)" plt.ylabel(ylabel) plt.xlim([0, 23]) plt.scatter(timeArray, powerArray) spectrumFile = sessionId + "/" + msg[SENSOR_ID] + "." + str( startTime) + "." + str(freqMHz) + ".power.png" spectrumFilePath = util.getPath( STATIC_GENERATED_FILE_LOCATION) + spectrumFile plt.savefig(spectrumFilePath, pad_inches=0, dpi=100) plt.clf() plt.close() retval = { STATUS: OK, "powervstime": Config.getGeneratedDataPath() + "/" + spectrumFile, "timeArray": timeArray, "powerValues": powerArray, "title": title, "xlabel": xlabel, "ylabel": ylabel } return retval
def getBandDataSummary(sensorId, locationMessage, sys2detect, minFreq, maxFreq, mintime, dayCount=None): sensor = SensorDb.getSensorObj(sensorId) if sensor is None: return {STATUS: NOK, ERROR_MESSAGE: "Sensor Not found"} measurementType = sensor.getMeasurementType() tzId = locationMessage[TIME_ZONE_KEY] locationMessageId = str(locationMessage["_id"]) freqRange = msgutils.freqRange(sys2detect, minFreq, maxFreq) count = LocationMessage.getBandCount(locationMessage, freqRange) if count == 0: return { FREQ_RANGE: freqRange, COUNT: 0, "minFreq": minFreq, "maxFreq": maxFreq, SYSTEM_TO_DETECT: sys2detect } else: minOccupancy = LocationMessage.getMinBandOccupancy( locationMessage, freqRange) maxOccupancy = LocationMessage.getMaxBandOccupancy( locationMessage, freqRange) count = LocationMessage.getBandCount(locationMessage, freqRange) meanOccupancy = LocationMessage.getMeanOccupancy( locationMessage, freqRange) minTime = LocationMessage.getFirstMessageTimeStampForBand( locationMessage, freqRange) maxTime = LocationMessage.getLastMessageTimeStampForBand( locationMessage, freqRange) maxTimes = timezone.getLocalTime(maxTime, tzId) (tEndReadingsLocalTime, tEndReadingsLocalTimeTzName) = maxTimes tEndDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( maxTime, tzId) tStartDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( minTime, tzId) tstampMin = timezone.formatTimeStampLong(minTime, tzId) tstampMax = timezone.formatTimeStampLong(maxTime, tzId) retval = { "tStartDayBoundary": tStartDayBoundary, "tEndDayBoundary": tEndDayBoundary, "tStartReadings": minTime, "tStartLocalTime": minTime, "tStartLocalTimeFormattedTimeStamp": tstampMin, "tEndReadings": maxTime, "tEndReadingsLocalTime": maxTime, "tEndLocalTimeFormattedTimeStamp": tstampMax, "tEndDayBoundary": tEndDayBoundary, "maxOccupancy": maxOccupancy, "meanOccupancy": meanOccupancy, "minOccupancy": minOccupancy, "maxFreq": maxFreq, "minFreq": minFreq, SYSTEM_TO_DETECT: sys2detect, FREQ_RANGE: freqRange, "measurementType": measurementType, "active": sensor.isBandActive(sys2detect, minFreq, maxFreq), COUNT: count } return retval
def getDataSummaryForAllBands(sensorId, locationMessage, tmin=None, dayCount=None): """ get the summary of the data corresponding to the location message. """ # tmin and tmax are the min and the max of the time range of interest. locationMessageId = str(locationMessage["_id"]) tzId = locationMessage[TIME_ZONE_KEY] sensor = SensorDb.getSensor(sensorId) if sensor is None: return {STATUS: NOK, ERROR_MESSAGE: "Sensor Not found in SensorDb"} bands = sensor[THRESHOLDS] if len(bands.keys()) == 0: return {STATUS: NOK, ERROR_MESSAGE: "Sensor has no bands"} measurementType = sensor[MEASUREMENT_TYPE] bandStatistics = [] query = {SENSOR_ID: sensorId, "locationMessageId": locationMessageId} msg = DbCollections.getDataMessages(sensorId).find_one(query) if msg is None: for key in bands.keys(): band = bands[key] minFreq = band[MIN_FREQ_HZ] maxFreq = band[MAX_FREQ_HZ] sys2detect = band[SYSTEM_TO_DETECT] isActive = band[ACTIVE] bandInfo = { "tStartDayBoundary": 0, "tEndDayBoundary": 0, "tStartReadings": 0, "tStartLocalTime": 0, "tStartLocalTimeFormattedTimeStamp": UNKNOWN, "tEndReadings": 0, "tEndReadingsLocalTime": 0, "tEndLocalTimeFormattedTimeStamp": UNKNOWN, "tEndDayBoundary": 0, "maxOccupancy": 0, "meanOccupancy": 0, "minOccupancy": 0, "maxFreq": maxFreq, "minFreq": minFreq, SYSTEM_TO_DETECT: sys2detect, "measurementType": measurementType, "active": isActive, COUNT: 0 } bandStatistics.append(bandInfo) return {STATUS: "OK", "bands": bandStatistics} if tmin is None and dayCount is None: query = {SENSOR_ID: sensorId, "locationMessageId": locationMessageId} tmin = msgutils.getDayBoundaryTimeStamp(msg) mintime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( int(tmin), tzId) elif tmin is not None and dayCount is None: mintime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( int(tmin), tzId) else: mintime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( int(tmin), tzId) for key in bands.keys(): band = bands[key] minFreq = band[MIN_FREQ_HZ] maxFreq = band[MAX_FREQ_HZ] sys2detect = band[SYSTEM_TO_DETECT] bandSummary = getBandDataSummary(sensorId, locationMessage, sys2detect, minFreq, maxFreq, mintime, dayCount=dayCount) bandStatistics.append(bandSummary) return {STATUS: "OK", "bands": bandStatistics}
def getOneDayStats(sensorId, lat, lon, alt, startTime, sys2detect, minFreq, maxFreq): """ Generate and return a JSON structure with the one day statistics. startTime is the start time in UTC sys2detect is the system to detect. minFreq is the minimum frequency of the frequency band of interest. maxFreq is the maximum frequency of the frequency band of interest. """ locationMessage = DbCollections.getLocationMessages().find_one({ SENSOR_ID: sensorId, LAT: lat, LON: lon, ALT: alt }) if locationMessage is None: return {STATUS: NOK, ERROR_MESSAGE: "No location information"} freqRange = msgutils.freqRange(sys2detect, minFreq, maxFreq) mintime = int(startTime) maxtime = mintime + SECONDS_PER_DAY tzId = locationMessage[TIME_ZONE_KEY] mintime = timezone.getDayBoundaryTimeStampFromUtcTimeStamp(startTime, tzId) maxtime = mintime + SECONDS_PER_DAY query = { SENSOR_ID: sensorId, LOCATION_MESSAGE_ID: str(locationMessage["_id"]), "t": { "$lte": maxtime, "$gte": mintime }, FREQ_RANGE: freqRange } cur = DbCollections.getDataMessages(sensorId).find(query) if cur is None or cur.count() == 0: return {STATUS: NOK, ERROR_MESSAGE: "Data messages not found"} res = {} values = {} res["formattedDate"] = timezone.formatTimeStampLong( mintime, locationMessage[TIME_ZONE_KEY]) acquisitionCount = cur.count() prevMsg = None for msg in cur: if prevMsg is None: prevMsg = msgutils.getPrevAcquisition(msg) channelCount = msg["mPar"]["n"] measurementsPerAcquisition = msg["nM"] cutoff = msg["cutoff"] values[int(msg["t"] - mintime)] = { "t": msg["t"], "maxPower": msg["maxPower"], "minPower": msg["minPower"], "maxOccupancy": msg["maxOccupancy"], "minOccupancy": msg["minOccupancy"], "meanOccupancy": msg["meanOccupancy"], "medianOccupancy": msg["medianOccupancy"] } query = {SENSOR_ID: sensorId, "t": {"$gt": maxtime}, FREQ_RANGE: freqRange} msg = DbCollections.getDataMessages(sensorId).find_one(query) if msg is not None: nextDay = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg["t"], tzId) else: nextDay = mintime if prevMsg is not None: prevDayBoundary = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( prevMsg["t"], tzId) query = { SENSOR_ID: sensorId, "t": { "$gte": prevDayBoundary }, FREQ_RANGE: freqRange } msg = DbCollections.getDataMessages(sensorId).find_one(query) prevDay = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg["t"], tzId) else: prevDay = mintime res["nextIntervalStart"] = nextDay res["prevIntervalStart"] = prevDay res["currentIntervalStart"] = mintime res[CHANNEL_COUNT] = channelCount res["measurementsPerAcquisition"] = measurementsPerAcquisition res[ACQUISITION_COUNT] = acquisitionCount res["cutoff"] = cutoff res["values"] = values res[STATUS] = OK return res
def getHourlyMaxMinMeanStats(sensorId, startTime, sys2detect, fmin, fmax, subBandMinFreq, subBandMaxFreq, sessionId): sensor = SensorDb.getSensor(sensorId) if sensor is None: return {STATUS: NOK, ERROR_MESSAGE: "Sensor Not Found"} tstart = int(startTime) fmin = int(subBandMinFreq) fmax = int(subBandMaxFreq) freqRange = msgutils.freqRange(sys2detect, fmin, fmax) queryString = { SENSOR_ID: sensorId, TIME: { '$gte': tstart }, FREQ_RANGE: freqRange } util.debugPrint(queryString) startMessage = DbCollections.getDataMessages(sensorId).find_one( queryString) if startMessage is None: errorStr = "Start Message Not Found" util.debugPrint(errorStr) response = {STATUS: NOK, ERROR_MESSAGE: "No data found"} return response locationMessageId = DataMessage.getLocationMessageId(startMessage) retval = {STATUS: OK} values = {} locationMessage = DbCollections.getLocationMessages().find_one( {"_id": locationMessageId}) tZId = LocationMessage.getTimeZone(locationMessage) tmin = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( tstart, LocationMessage.getTimeZone(locationMessage)) for hour in range(0, 23): dataMessages = DbCollections.getDataMessages(sensorId).find({ "t": { "$gte": tmin + hour * SECONDS_PER_HOUR }, "t": { "$lte": (hour + 1) * SECONDS_PER_HOUR }, FREQ_RANGE: freqRange }) if dataMessages is not None: stats = compute_stats_for_fft_power(dataMessages) (nChannels, maxFreq, minFreq, cutoff, result) = stats values[hour] = result retval["values"] = values # Now compute the next interval after the last one (if one exists) tend = tmin + SECONDS_PER_DAY queryString = { SENSOR_ID: sensorId, TIME: { '$gte': tend }, FREQ_RANGE: freqRange } msg = DbCollections.getDataMessages(sensorId).find_one(queryString) if msg is None: result["nextTmin"] = tmin else: nextTmin = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg[TIME], tZId) result["nextTmin"] = nextTmin # Now compute the previous interval before this one. prevMessage = msgutils.getPrevAcquisition(startMessage) if prevMessage is not None: newTmin = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( prevMessage[TIME] - SECONDS_PER_DAY, tZId) queryString = { SENSOR_ID: sensorId, TIME: { '$gte': newTmin }, FREQ_RANGE: msgutils.freqRange(sys2detect, fmin, fmax) } msg = DbCollections.getDataMessages(sensorId).find_one(queryString) else: msg = startMessage result[STATUS] = OK result["prevTmin"] = timezone.getDayBoundaryTimeStampFromUtcTimeStamp( msg[TIME], tZId) result["tmin"] = tmin result["maxFreq"] = maxFreq result["minFreq"] = minFreq result["cutoff"] = cutoff result[CHANNEL_COUNT] = nChannels result["startDate"] = timezone.formatTimeStampLong(tmin, tZId) result["values"] = values return result