# Domestic Client Test Configuration for the development of domestic products # This file will be generated by the Domestic SCMT some day... # For now, fill in your product attributes and set the interestlists you need! # dsm.set('Config.1.PlaylistOverride','SouthernCalifornia', 0) # dsm.set('Config.1.affiliateNumber', '1023', 0) dsm.set('Config.1.dmaCode','744', 0) dsm.set('Config.1.primaryCounty','HIC007', 0) dsm.set('Config.1.stateCode','HI', 0) dsm.set('Config.1.secondaryObsStation','PHNL', 0) dsm.set('Config.1.primaryClimoStation','515580', 0) dsm.set('Config.1.primaryIndexId','PHLI', 0) dsm.set('Config.1.ThemeOverride','standard', 0) dsm.set('Config.1.expRev','655352', 0) dsm.set('Config.1.primaryCoopId','91165000', 0) dsm.set('Config.1.wda','LIH', 0) dsm.set('Config.1.primaryObsStation','PHLI', 0) dsm.set('Config.1.primaryLat',21.91916, 0) dsm.set('Config.1.Clock','scmt.clock', 0) dsm.set('Config.1.primaryLon',-159.52639, 0) dsm.set('Config.1.primaryZone','HIZ002', 0) dsm.set('Config.1.climoRegion','5', 0) dsm.set('Config.1.SevereClock','scmt_severe.clock', 0) # wxdata.setTimeZone('HST') # # Use only for debugging #dsm.set('Config.1.ldlStarIDMessage', 'Local weather ID: 5', 0) ds.commit() # Default Config for Forecast Pane d = twc.Data() d.locName = 'LIHUE' d.coopId = '91165000' dsm.set('Config.1.Fcst_TextForecast', d, 0, 1) dsm.set('Config.1.Fcst_DaypartForecast', d, 0, 1) dsm.set('Config.1.Fcst_ExtendedForecast', d, 0, 1) # ============================================================================= # Interest Lists wxdata.setInterestList('lambert.us', '1', [ 'radarSatellite.us', 'satellite.us']) wxdata.setInterestList('mercator.us', '1', [ 'radar.us',]) wxdata.setInterestList('mercator.hi.regional', '1', ['satellite.hi',]) wxdata.setInterestList('mercator.hi.local', '1', ['radar.hi',]) # wxdata.setInterestList('radar.hi.cuts', '1', [ 'Config.1.Local_RegionalDopplerRadar', 'Config.1.Local_MetroDopplerRadar',]) # 'Config.1.Radar_LocalDoppler',]) wxdata.setInterestList('radarSatellite.us.cuts', '1', [ 'Config.1.Local_RadarSatelliteComposite',]) wxdata.setInterestList('satellite.hi.cuts', '1', [ 'Config.1.Local_Satellite',]) # wxdata.setInterestList('indexId', '1', ['PHLI',]) wxdata.setInterestList('mapData', '1', ['mercator.hi.regional','mercator.hi.local',]) # wxdata.setInterestList('imageData', '1', [ 'radar.hi','satellite.hi',]) # wxdata.setInterestList('coopId', '1', ['72295023','72488037','72592032','74506009','91165000','91182000','91190000','91285000',]) # wxdata.setInterestList('airportId', '1', ['ANC','HNL','OGG',]) wxdata.setInterestList('obsStation', '1', ['PANC','PHJH','PHKO','PHLI','PHMK','PHNL','PHNY','PHOG','PHTO',]) wxdata.setInterestList('zone.cwf', '1', ['PHZ111',]) wxdata.setInterestList('skiId', '1', ['916006','916012',]) wxdata.setInterestList('zone', '1', ['HIZ002',]) wxdata.setInterestList('tideStation', '1', ['W1611347','W1611443',]) wxdata.setInterestList('aq', '1', ['zz001',]) wxdata.setInterestList('climId', '1', ['515580',]) wxdata.setInterestList('county', '1', ['HIC007','HIC003',]) wxdata.setInterestList('metroId', '1', [ '32','23']) wxdata.setInterestList('keyRoute', '1', [ '32.93121','32.93148','32.93066']) dsm.set('Config.1.countyNameList',[('HIC007','Kauai'),('HIC003','Honolulu'),], 0) # ============================================================================= # product override d = twc.Data() d.activeCue = 1 d.activeVocal = 1 dsm.set('Config.1.Override', d, 0) # ============================================================================= # Playlist configs # a value of 1 below is active (not required - this is the default behavior) # a value of 0 below is inactive # just substitute "yourProduct" for the XXX below d = twc.Data() d.activeTides = 1 d.activeXXX = 0 dsm.set('Config.1.DefaultUS.60.0', d, 0) dsm.set('Config.1.DefaultUS.60.1', d, 0) dsm.set('Config.1.DefaultUS.90.0', d, 0) dsm.set('Config.1.DefaultUS.90.1', d, 0) dsm.set('Config.1.DefaultUS.120.0', d, 0) dsm.set('Config.1.DefaultUS.120.1', d, 0) dsm.set('Config.1.DefaultUS.120.2', d, 0) dsm.set('Config.1.SouthernCalifornia.60.0', d, 0) dsm.set('Config.1.SouthernCalifornia.60.1', d, 0) dsm.set('Config.1.SouthernCalifornia.90.0', d, 0) dsm.set('Config.1.SouthernCalifornia.90.1', d, 0) dsm.set('Config.1.SouthernCalifornia.120.0', d, 0) dsm.set('Config.1.SouthernCalifornia.120.1', d, 0) dsm.set('Config.1.SouthernCalifornia.120.2', d, 0) dsm.set('Config.1.WestCoastUS.60.0', d, 0) dsm.set('Config.1.WestCoastUS.60.1', d, 0) dsm.set('Config.1.WestCoastUS.90.0', d, 0) dsm.set('Config.1.WestCoastUS.90.1', d, 0) dsm.set('Config.1.WestCoastUS.120.0', d, 0) dsm.set('Config.1.WestCoastUS.120.1', d, 0) dsm.set('Config.1.WestCoastUS.120.2', d, 0) # ============================================================================= # LAS Crawl d = twc.Data() d.serialNum = 2 d.crawls = [ (1064928109, 1139440000, [( 0, 23)], 'text of crawl 0'), (1064928109, 1139440000, [( 0, 23)], 'text of crawl 1'), (1064928109, 1139440000, [(10, 11), (17, 19)], 'text of crawl 2'), ] dsm.set('Config.1.Ldl_LASCrawl', d, 0) # ============================================================================= # TextForecast d = twc.Data(coopId='91165000', locName='LIHUE METRO', minPageDuration=6, maxPageDuration=14, ) dsm.set('Config.1.Local_TextForecast', d, 0) # ============================================================================= # 7DayForecast d = twc.Data(coopId='91165000', locName='LIHUE METRO', ) dsm.set('Config.1.Local_7DayForecast', d, 0) # ============================================================================= # AirQualityForecast # There are 2 sets of ids and loc names because of the dual nature of the # product. It can be configured for 1 or 3 sites. d = twc.Data(aq=['ca017','ca029','ca031'], locName=['Riverside/San Bernardino','Coastal Area','Hemet/Elsinore'], #aq=['va001',], #locName=['WASHINGTON, DC',], ) dsm.set('Config.1.Local_AirQualityForecast', d, 0) # ============================================================================= #Almanac d = twc.Data(longitude=-159.35, latitude=21.98, ) dsm.set('Config.1.Local_Almanac', d, 0) # ============================================================================= # Climatology d = twc.Data(longitude=-159.35, latitude=21.98, climId=['515580'], locName='LIHUE', obsStation='PHLI', ) dsm.set('Config.1.Local_Climatology', d, 0) # ============================================================================= # CurrentConditions d = twc.Data(obsStation=['SENSOR','PHLI','PHNL'], locName=['Kalaheo','LIHUE','HONOLULU'], ) dsm.set('Config.1.Local_CurrentConditions', d, 0) # ============================================================================= # Squeeze Back CurrentConditions d = twc.Data(obsStation=['SENSOR','PHLI','PHNL'], locName=['Kalaheo','LIHUE','HONOLULU'], elementDuration = 6, ) dsm.set('Config.1.Cc_CurrentConditions', d, 0) # ============================================================================= # DaypartForecast d = twc.Data(coopId=['91165000', ], locName=['LIHUE METRO', ] ) dsm.set('Config.1.Local_DaypartForecast', d, 0) # ============================================================================= ## EventForecast # ## Event Types: #A_MOMENT_IN_TIME = 0 #DAY_SUMMARY = 1 # ## TODO: The valid time should come from the dataStore, ## but until it does, do this... #import time #vTime = int(time.time()) #d = twc.Data(coopId='72219000', # text='Atlanta Motor Speedway', # text2='Wednesday', # eventType = DAY_SUMMARY, # overlayImage = '/rsrc/images/eventRacing', # bkgImage = ('domestic', 'domestic'), # validTime = vTime #) #dsm.set('Config.1.Local_EventForecast', d, 0) # ============================================================================= # ExtendedForecast d = twc.Data(coopId='91165000', location='LIHUE METRO', ) dsm.set('Config.1.Local_ExtendedForecast', d, 0) # ============================================================================= # GetawayForecast d = twc.Data(coopId=['74506009','72295023','91182000'], locNameList=['San Francisco','Los Angeles','Honolulu'], ) dsm.set('Config.1.Local_GetawayForecast', d, 0) # ============================================================================= # HeatSafetyTips d = twc.Data(obsStation='PHLI', locName='LIHUE', heatIndexThreshold=100, ) dsm.set('Config.1.Local_HeatSafetyTips', d, 0) # ============================================================================= # LocalObservations d = twc.Data(obsStation=['PHTO','PHNL','PHOG','PHKO','PHJH','PHNY','PHLI','PHMK'], locName=['Hilo','Honolulu','Kahului','Kailua Kona','Kapalua/W Maui','Lanai City','Lihue','Molokai'], ) dsm.set('Config.1.Local_LocalObservations', d, 0) #============================================================================== # Lower Display Line d = twc.Data( obsStation=['PHLI'], obsLocName=['Honolulu Int\'l'], ) dsm.set('Config.1.Ldl_CurrentApparentTemp', d, 0) dsm.set('Config.1.Ldl_CurrentCeiling', d, 0) dsm.set('Config.1.Ldl_CurrentDewpoint', d, 0) dsm.set('Config.1.Ldl_CurrentGusts', d, 0) dsm.set('Config.1.Ldl_CurrentHumidity', d, 0) dsm.set('Config.1.Ldl_CurrentMTDPrecip', d, 0) dsm.set('Config.1.Ldl_CurrentPressure', d, 0) dsm.set('Config.1.Ldl_CurrentSkyTemp', d, 0) dsm.set('Config.1.Ldl_CurrentVisibility', d, 0) dsm.set('Config.1.Ldl_CurrentWinds', d, 0) d = twc.Data( airportId=['HNL', 'OGG', 'ANC'], displayFlag=[1,1,0], obsStation=['PHNL', 'PHOG', 'PANC'], locName=[ "Honolulu", "Kahului", "Anchorage" ], ) dsm.set('Config.1.Ldl_AirportDelayConditions', d, 0, 1) d = twc.Data( aq='zz001', locName='LIHUE', startDate=(10, 1), endDate=(12, 31), ) dsm.set('Config.1.Ldl_AirQualityForecast', d, 0) d = twc.Data( latitude = 21.98, longitude = -159.35, ) dsm.set('Config.1.Ldl_SunriseSunset', d, 0) d = twc.Data( coopId=['74506009', '72295023', '91182000'], locName=['San Francisco','Los Angeles','Honolulu'], ) dsm.set('Config.1.Ldl_TravelForecast', d, 0) d = twc.Data( startDate=(1, 1), endDate=(12, 31), ) dsm.set('Config.1.Ldl_PromotionalMessage', d, 0) # Note: This is optional (below) to test Promo Message ##d = 'This is a promotional message, yo yo yo!!' ##dsm.set('Config.1.promotionalMessage', d, 0) d = twc.Data( coopId='91165000', locName='LIHUE', startDate=(1, 1), endDate=(12, 31), ) dsm.set('Config.1.Ldl_UVForecast', d, 0) d = twc.Data( displayMessage = 1, ) dsm.set('Config.1.Ldl_LocalStarIDMessage', d, 0) d = twc.Data( displayMessage = 1, ) dsm.set('Config.1.Ldl_NationalStarIDMessage', d, 0) #d = twc.Data( # trafficActive = 1, # routes = [(('32.93121', 'I-285 (Northside)', 'WB', 'Chamblee Dunwoody Rd (#30)', 'Georgia 400 (#27)'), # ('32.93122', 'I-285 (Northside)', 'EB', 'Georgia 400 (#27)', 'Chamblee Dunwoody Rd (#30)')), # (('32.93148', 'Georgia 400', 'SB', 'Holcomb Bridge Rd/SR-140 (#7)', 'I-285 (Northside)'), # ('32.93147', 'Georgia 400', 'NB', 'I-285 (Northside)', 'Holcomb Bridge Rd/SR-140 (#7)')), # (('32.93066', 'I-85', 'SB', 'I-285', 'Georgia 400'), # ('32.93065', 'I-85', 'NB', 'Georgia 400', 'I-285')), # ], # routeDisplayTime = [(((0, 00), (11, 59), 0, 0), # inbound monday # ((12, 00), (23, 59), 0, 0)),# outbound monday # # (((6,0), (10,59), 0, 0), # inbound tuesday # ((14,00), (19,59), 1, 1)), # outbound tuesday # # (((6,0), (10,59), 0, 0), # inbound wednesday # ((14,00), (19,59), 0, 0)), # outbound wednesday # # (((6,0), (10,59), 0, 0), # inbound thursday # ((14,00), (19,59), 0, 0)), # outbound thursday # # (((6,0), (10,59), 0, 0), # inbound friday # ((13,00), (19,59), 0, 0)), # outbound friday # # (((8,0), (10,00), 0, 0), # inbound saturday # ((13,00), (19,59), 0, 0)), # outbound satuday # # (((6,0), (10,59), 0, 0), # inbound sunday # ((13,00), (19,59), 0, 0)), # outbound sunday # # ], #) #dsm.set('Config.1.Ldl_TrafficTripTimes', d, 0) d = twc.Data( coopId='91165000', locName='LIHUE', ) dsm.set('Config.1.Ldl_ExtendedForecast', d, 0) dsm.set('Config.1.Ldl_HourlyForecast', d, 0) dsm.set('Config.1.Ldl_Shortcast', d, 0) dsm.set('Config.1.Ldl_SummaryForecast', d, 0) d = twc.Data(obsStation=['PHLI']) dsm.set('Config.1.TimeTemp_Default', d, 0) # ============================================================================= # Bulletin Crawl d = twc.Data( activeVocal=1, ) dsm.set('Config.1.Bulletin_Default', d, 0) # ============================================================================= # MarineForecast d = twc.Data(zone='PHZ111', locName='KAUAI WINDWARD WATERS', ) dsm.set('Config.1.Local_MarineForecast', d, 0) # ============================================================================= # MetroDopplerRadar (MAP DATA) # d = twc.Data(mapName='mercator.hi.local.tif', mapcutCoordinate=(511,965), mapcutSize=(1572,1048), mapFinalSize=(720,480), mapMilesSize=(330,220), datacutType='radar.hi', datacutCoordinate=(124,455), datacutSize=(716,390), dataFinalSize=(720,480), dataOffset=(0,0), ) wxdata.setMapData('Config.1.Local_MetroDopplerRadar', d, 0) # # # # MetroDopplerRadar (PRODUCT DATA) # d = twc.Data( textString = [ ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel ( 'Interstate-Black', 22, (212,212,212,255), 1, -35, 0, (20,20,20,128), 1, 0, 0,), #Properties # list of locNames with positions ( ( (559,144),'Honolulu',), ( (318,234),'Kalaheo',), ), ), ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel ( 'Interstate-Black', 22, (212,212,212,205), 1, -35, 0, (20,20,20,128), 2, 0, 0,), #Properties # list of locNames with positions ( ( (559,144),'Honolulu',), ( (318,234),'Kalaheo',), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification ( ( 'locatorDot', 0, 1, 0), ( ( (539,141),), ( (298,231),), ), ), ( ( 'locatorDotOutline', 0, 2, 1), ( ( (539,141),), ( (298,231),), ), ), ], labeledTiffImage = [], vector = [], ) dsm.set('Config.1.Local_MetroDopplerRadar', d, 0) # # ============================================================================= # Radar_LocalDoppler # Put the mini-me map after the other radars. It doesn't have to cut first, but # "soon" would be nice so we have a radar map cut when squeezeback locals run. # # Special Mini-Me Window! (NO, mini-me! We do NOT eat Mini Mr. Bigglesworth!!) d = twc.Data(mapName = 'mercator.us.bfg', mapcutCoordinate = (25849,8526), mapcutSize = (656,375), mapFinalSize = (240,137), mapMilesSize = (70,48), datacutType = 'radar.us', datacutCoordinate = (2767,708), datacutSize = (80,46), dataFinalSize = (240,137), dataOffset = (0,0), vectors = [ 'mercator.us.counties.vg', 'mercator.us.coastlines.vg', 'mercator.us.interstates.vg', 'mercator.us.states.vg', 'mercator.us.ushighways.vg', 'mercator.us.statehighways.vg', 'mercator.us.otherroutes.vg',], ) wxdata.setMapData('Config.1.Radar_LocalDoppler', d, 0, 0) ## Radar_LocalDoppler (PRODUCT DATA for Mini Me Window) d = twc.Data( textString = [ # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask # list of locNames with positions ( ( 'Interstate-Bold', 14, (229,229,229,205), 1, 0, 0, (20,20,20,68), 2,0,0,), #Properties ( #Elements ( (49,35), 'Villa Rica', ), ( (79,85), 'Dallas', ), ( (170,62), "Atlanta", ), ), ), ( ( 'Interstate-Bold', 14, (229,229,229,205), 1, 0, 0, (20,20,20,68), 2,0,0,), #Properties ( #Elements ( (49,35), 'Villa Rica', ), ( (79,85), 'Dallas', ), ( (170,62), "Atlanta", ), ), ), ], tiffImage = [ # the property of a tiffImage is the image name, justification, layer mask, and erase bit (( 'locatorDotSmall', 0, 1, 0), ( ( (30,32), ), ( (62,80), ), ( (155,52), ), ), ), (( 'locatorDotSmallOutline', 0, 2, 1), ( ( (30,32), ), ( (62,80), ), ( (155,52), ), ), ), ], vector = [ # This is a list of vector objects. # Each vector object contains a Properties tuple and an Elements tuple. # Each Properties tuple contains a width, color tuple, and layer number. # Each Elements tuple contains a list of vectorfile tuples to draw. # Currently, each vectorfile tuple contains only the prefix of the *.vg file ( (6, (20,20,20,96), 1,), #Properties ( #Elements ('interstates',), ), ), ( (1, (20,20,20,255), 2,), #Properties ( #Elements ('coastlines',), ('counties',), ), ), ( (2, (20,20,20,255), 3,), #Properties ( #Elements ('states',), ), ), ( (3, (130,130,130,255), 3,), #Properties ( #Elements ('interstates',), ), ), ], ) dsm.set('Config.1.Radar_LocalDoppler', d, 0, 0) # # ============================================================================= ## MetroForecastMap (MAP DATA) d = twc.Data(mapName = 'mercator.us.bfg', mapcutCoordinate = (25739,8325), mapcutSize = (1090,727), mapFinalSize = (720,480), mapMilesSize = (300,250), vectors = [ 'mercator.us.counties.vg','mercator.us.coastlines.vg', 'mercator.us.interstates.vg','mercator.us.states.vg', 'mercator.us.ushighways.vg','mercator.us.statehighways.vg', 'mercator.us.otherroutes.vg',], ) wxdata.setMapData('Config.1.Local_MetroForecastMap', d, 0) # ## MetroForecastMap (PRODUCT DATA) d = twc.Data( textString = [ ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel # NOTE: If dataLabel is set, then the elements will display only if the data is not expired. ('Interstate-Bold', 24, (212,212,212,255), 1, 0, 0, (), 2, 0, 0,), #Properties # list of locNames with positions ( ( (214,145), 'Peachtree City') , ( (292,305), 'Atlanta'), ( (157,385), 'Acworth'), ( (95,245), 'Douglasville'), ( (435,209), 'Conyers'), ( (497,328), 'Lawrenceville'), ( (310,375), 'Alpharetta'), ), ), ], fcstValue = [ # font, fontSize, fontColor, fontShadow, tracking, obsValueType, justification, # list of coopIds with positions (( 'Interstate-BlackCondensed', 38, (212,212,50,255), 1, 0, 'temp', 1, (), 2,0,0,), ( ( '72215002', (288,100)), ( '72219000', (322,262)), ( '72227016', (192,341)), ( '72227025', (159,205)), ( '72219020', (477,168)), ( '72227037', (553,294)), ( '72227024', (355,335)), ), ), ], fcstIcon = [ # fcstIcons have one property: (horizontal) justification # fcstIcons have an coopId and a position ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( '72215002', (295,76)), ( '72219000', (325,235)), ( '72227016', (195,317)), ( '72227025', (163,175)), ( '72219020', (480,148)), ( '72227037', (560,263)), ( '72227024', (355,310)), ), ), ], vector = [ # vector files have a thickness and a color (( 2, (20,20,20,255), 1, ), ( ('counties',),),), (( 2, (20,20,20,255), 1, ), ( ('coastlines',),),), (( 4, (20,20,20,255), 1, ), ( ('states',),),), (( 8, (20,20,20,96), 1, ), ( ('ushighways',),),), (( 8, (20,20,20,96), 1, ), ( ('statehighways',),),), (( 8, (20,20,20,96), 1, ), ( ('otherroutes',),),), (( 8, (20,20,20,96), 1, ), ( ('interstates',),),), (( 4, (130,130,130,255), 1, ), ( ('ushighways',),),), (( 4, (130,130,130,255), 1, ), ( ('statehighways',),),), (( 4, (130,130,130,255), 1, ), ( ('otherroutes',),),), (( 4, (130,130,130,255), 1, ), ( ('interstates',),),), ], tiffImage = [ # the property of a tiffImage is the image name and its justification, layerMask, eraseBit (( 'airplane', 0, 1, 0), ( ( (336,199),), ), ), (( 'airplaneOutline', 0, 1, 0), #NOTE: This is on layer 1 ( ( (336,199),), ), ), ], # just like a tiffImage, but with a text string label centered over it labeledTiffImage = [ (( ('interstateSign', 0, 1, 0), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), # labeledTiffImage have a position and a string to center over the image ( ( (75,214), '20'), ( (432,93), '75'), ( (451,314), '85'), ( (583,183), '20'), ), ), (( ('interstateSign', 0, 1, 0), 'Interstate-BoldCondensed', 16, (212,212,212,255), 0, 0, 0,), ( ( (281,171), '285'), ), ), # NOTE: The outlines are on layer1 for the forecast products (( ('interstateSignOutline', 0, 1, 0), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), # labeledTiffImage have a position and a string to center over the image ( ( (75,214), '20'), ( (432,93), '75'), ( (451,314), '85'), ( (583,183), '20'), ), ), (( ('interstateSignOutline', 0, 1, 0), 'Interstate-BoldCondensed', 16, (212,212,212,255), 0, 0, 0,), ( ( (281,171), '285'), ), ), ], ) dsm.set('Config.1.Local_MetroForecastMap', d, 0) # # # ============================================================================= # NWSHeadlines d = twc.Data(zone = 'HIZ002', ) dsm.set('Config.1.Local_NWSHeadlines', d, 0) # ============================================================================= # RadarSatelliteComposite (MAP DATA) d = twc.Data(mapName = 'lambert.us.tif', mapcutCoordinate = (3869,1695), mapcutSize = (1816,1211), mapFinalSize = (720,480), mapMilesSize = (1500,750), vectors = ['lambert.us.states.vg','lambert.us.coastlines.vg',], datacutType = 'radarSatellite.us', datacutCoordinate = (1095,529), datacutSize = (934,625), dataFinalSize = (720,480), dataOffset = (0,0), ) wxdata.setMapData('Config.1.Local_RadarSatelliteComposite', d, 0) # RadarSatelliteComposite (PRODUCT DATA) d = twc.Data( vector = [ # vector files have a thickness and a color and a layerMask (( 2, (20,20,20,255), 2, ), ( ('states',),),), (( 2, (20,20,20,255), 2, ), ( ('coastlines',),),), ], ) dsm.set('Config.1.Local_RadarSatelliteComposite', d, 0) # ============================================================================= # RecordHighLow d = twc.Data(coopId=['91165000', ], climId=['515580', ], obsStation=['PHLI', ], locName=['Lihue', ], fcstLowOffset=0, fcstHighOffset=0, ) dsm.set('Config.1.Local_RecordHighLow', d, 0) # ============================================================================= # SchoolDayWeather d = twc.Data(coopId='72295023', obsStation=['PANC', 'PHJH', ], schedule=[((11,24,16,0,0),(11,26,16,0,0)), ((12,17,16,0,0),( 1, 7,16,0,0)),], ) dsm.set('Config.1.Local_SchoolDayWeather', d, 0) # ============================================================================= # OutdoorActivityForecast d = twc.Data(coopId='72295023', ) dsm.set('Config.1.Local_OutdoorActivityForecast', d, 0) # ============================================================================= # MAP: 70848 # RegionalDopplerRadar (MAP DATA) # d = twc.Data(mapName='mercator.hi.local.tif', mapcutCoordinate=(189,0), mapcutSize=(3312,2208), mapFinalSize=(720,480), mapMilesSize=(702,467), datacutType='radar.hi', datacutCoordinate=(0,96), datacutSize=(1486,822), dataFinalSize=(709,480), dataOffset=(11,0), ) wxdata.setMapData('Config.1.Local_RegionalDopplerRadar', d, 0) # # # RegionalDopplerRadar (PRODUCT DATA) # d = twc.Data( textString = [ ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel ( 'Interstate-Black', 22, (212,212,212,255), 1, -35, 0, (20,20,20,128), 1, 0, 0,), #Properties # list of locNames with positions ( ( (521,161),'Hilo',), ( (342,275),'Honolulu',), ( (227,318),'Kalaheo',), ( (416,245),'Lahaina',), ), ), ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel ( 'Interstate-Black', 22, (212,212,212,205), 1, -35, 0, (20,20,20,128), 2, 0, 0,), #Properties # list of locNames with positions ( ( (521,161),'Hilo',), ( (342,275),'Honolulu',), ( (227,318),'Kalaheo',), ( (416,245),'Lahaina',), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification, layer mask, and erase bit (( 'locatorDot', 0, 1, 0), ( ( (501,158),), ( (322,272),), ( (207,315),), ( (396,242),), ), ), (( 'locatorDotOutline', 0, 2, 1), ( ( (501,158),), ( (322,272),), ( (207,315),), ( (396,242),), ), ), ], # just like a tiffImage, but with a text string label centered over it labeledTiffImage = [], vector = [], ) dsm.set('Config.1.Local_RegionalDopplerRadar', d, 0) # # ============================================================================= # MAP: 70852 # RegionalForecastMap (MAP DATA) # d = twc.Data(mapName='mercator.hi.local.tif', mapcutCoordinate=(519,217), mapcutSize=(2652,1768), mapFinalSize=(720,480), mapMilesSize=(562,374), ) wxdata.setMapData('Config.1.Local_RegionalForecastMap', d, 0) # # # ##### # NOTE: For the ForecastMap products (those w/o raster data) layerMask=1 is used for things such as borders which last the entire # prooduct duration and layerMask=2 is used for sequenced data # # RegionalForecastMap (PRODUCT DATA) # d = twc.Data( textString = [ ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel # NOTE: If dataLabel is set, then the elements will display only if the data is not expired. ('Interstate-Bold', 24, (212,212,212,255), 1, 0, 0, (), 2, 0, 1,), #Properties # list of locNames with positions ( ( (158,372),'Lihue',), ( (261,311),'Honolulu',), ( (397,274),'Kahului',), ( (526,170),'Hilo',), ), ), ], fcstValue = [ # font, fontSize, fontColor, fontShadow, tracking, obsValueType, justification, # list of coopIds with positions (( 'Interstate-BlackCondensed', 38, (212,212,50,255), 1, 0, 'temp', 1, (), 2,0,0,) , ( ( '91165000',(182,336),), ( '91182000',(303,275),), ( '91190000',(432,238),), ( '91285000',(541,134),), ), ), ], fcstIcon = [ # fcstIcons have one property: justification # fcstIcons have an coopId and a position ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( '91165000',(185,300),), ( '91182000',(306,239),), ( '91190000',(435,202),), ( '91285000',(544,98),), ), ), ], # NOTE: Vectors go on layer 1 because they are displayed for the entire duration vector = [], ) dsm.set('Config.1.Local_RegionalForecastMap', d, 0) # # # ============================================================================= # MAP: 70851 # RegionalObservationMap (MAP DATA) # d = twc.Data(mapName='mercator.hi.local.tif', mapcutCoordinate=(519,217), mapcutSize=(2652,1768), mapFinalSize=(720,480), mapMilesSize=(562,374), ) wxdata.setMapData('Config.1.Local_RegionalObservationMap', d, 0) wxdata.setMapData('Config.1.Local_MetroObservationMap', d, 0) # RegionalObservationMap (PRODUCT DATA) # d = twc.Data( obsValue = [ # font, fontSize, fontColor, fontShadow, tracking, obsValueType, justification, # list of obsStations with positions (( 'Interstate-BlackCondensed', 38, (212,212,50,255), 1, 0, 'temp', 1, (), 1,0,0,), ( ( 'PHLI',(182,336),), ( 'PHNL',(303,275),), ( 'PHOG',(432,238),), ( 'PHTO',(541,134),), ), ), ], obsIcon = [ ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( 'PHLI',(185,300),), ( 'PHNL',(306,239),), ( 'PHOG',(435,202),), ( 'PHTO',(544,98),), ), ), ], textString = [ # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel # NOTE: If dataLabel is set, then the elements will display only if the data isnot expired. ( ('Interstate-Bold', 24, (212,212,212,255), 1, 0, 0, (), 1, 0, 0,), #Properties ( ( (158,372),'Lihue',), ( (261,311),'Honolulu',), ( (397,274),'Kahului',), ( (526,170),'Hilo',), ), ), ], ) dsm.set('Config.1.Local_RegionalObservationMap', d, 0) dsm.set('Config.1.Local_MetroObservationMap', d, 0) # # ============================================================================= # MAP: 70850 # Satellite (MAP DATA) # d = twc.Data(mapName='mercator.hi.regional.tif', mapcutCoordinate=(1034,0), mapcutSize=(1408,939), mapFinalSize=(720,480), mapMilesSize=(2519,1669), datacutType='satellite.hi', datacutCoordinate=(57,52), datacutSize=(553,369), dataFinalSize=(720,480), dataOffset=(0,0), ) wxdata.setMapData('Config.1.Local_Satellite', d, 0) # # Satellite (PRODUCT DATA) # d = twc.Data( textString = [ ( # font, fontSize, fontColor, fontShadow, tracking, justification, fontOutlineColor, layerMask, eraseBit, dataLabel ('Interstate-Bold', 21, (212,212,212,255), 1, 0, 0, (20,20,20,128), 2, 0, 0,), #Properties # list of locNames with positions ( ( (283,192),'Honolulu',),), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification, layerMask, eraseBit (('locatorDot', 0, 2, 0), ( ( (263,189),),), ), (('locatorDotOutline', 0, 2, 0), ( ( (263,189),),), ), ], vector = [], ) dsm.set('Config.1.Local_Satellite', d, 0) # ============================================================================= # Tides d = twc.Data(tideStation=['W1611347','W1611443'], locName=['Port Allen, Hanapepe Bay','Hanamaulu Bay'], ) dsm.set('Config.1.Local_Tides', d, 0) # ============================================================================= ## Traffic Overview #d = twc.Data(locName = ["Atlanta", "Orlando", "South Boston"], # mapName = ["32.1", "23.1", "18.3"]) #dsm.set('Config.1.Local_TrafficOverview', d, 0, 1) # ## ============================================================================= ## TrafficFlow ## Route ID Description #d = twc.Data( #routes = [ # [ # (("32.90805", "NB, I-85 North to I-285 (Northside).", "interstateHighwaySignLarge", "75", (212,212,212,255), 1, ), # ("32.90806", "SB, I-285 (Northside) to I-85 North.", "interstateHighwaySignLarge", "75", (212,212,212,255), 1, )), # (("32.90827", "EB, Georgia 400 to I-75.", "interstateHighwaySignLarge", "285", (212,212,212,255), 1, ), # ("32.90828", "WB, I-75 to Georgia 400.", "interstateHighwaySignLarge", "285", (212,212,212,255), 1, )), # (("32.93148", "SB, Holcomb Bridge Rd/State Rd-141 to I-285.", "stateHighwaySignLarge", "400", (13,13,13,255), 0, ), # ("32.93147", "NB, I-285 to Holcomb Bridge Rd/State Rd-141.", "stateHighwaySignLarge", "400", (13,13,13,255), 0, )), # ], # [ # (("32.90828", "WB, I-85 to Georgia 400.", "interstateHighwaySignLarge", "285", (212,212,212,255), 1, ), # ("32.90829", "EB, Georgia 400 to I-85.", "interstateHighwaySignLarge", "285", (212,212,212,255), 1, )), # (("32.93117", "WB, I-85 to I-75.", "interstateHighwaySignLarge", "285", (212,212,212,255), 1, ), # ("32.93118", "EB, I-75 to I-85.", "interstateHighwaySignLarge", "285", (212,212,212,255), 1, )), # (("32.93068", "SB, SR 316 to I-285.", "interstateHighwaySignLarge", "85", (212,212,212,255), 1, ), # ("32.93068", "NB, I-285 to SR 316.", "interstateHighwaySignLarge", "85", (212,212,212,255), 1, )), # ] #], #routeDisplayTime = ( ((0,00),(11,59)), ((12,00),(23,59)) ), # Start/End times for primary routes, Start/End times for reverse/alt routes #) #dsm.set('Config.1.Local_TrafficFlow', d, 0) # ## ============================================================================= ## TrafficReport #d = twc.Data(locName = 'ATLANTA', # #metroId=['32','23'], # uncomment these two lines to test support for multiple metro ids # metroId=['32',], # activeVocalCue = 1, # maxPages = 3, # latLongBoxes=[((-84.4664,33.8712),(-84.2453,34.0922)), # 400 # ((-84.3014,33.7914),(-83.7952,34.0685)), # Northeast 85 # ((-84.3209,33.6557),(-83.9906,33.8698)), # east 20 # ((-84.777,33.8614),(-84.4286,34.1048)), # Northwest 75 # #((-81.955,28.265),(-80.797,28.925)), # Orlando # ], # severityList=[('Incident', 2), # ('Construction', 1) # ] #) #dsm.set('Config.1.Local_TrafficReport', d, 0) # ============================================================================= # no commit needed - loadSCMTconfig.py does it for us now