# 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', 'DefaultUS', 0) # dsm.set('Config.1.affiliateNumber', '1023', 0) dsm.set('Config.1.dmaCode', '100', 0) dsm.set('Config.1.PrimaryCounty', 'PRC127', 0) dsm.set('Config.1.stateCode', 'PR', 0) dsm.set('Config.1.secondaryObsStation','TJPS', 0) dsm.set('Config.1.primaryClimoStation','668812', 0) dsm.set('Config.1.primaryIndexId','TJSJ', 0) dsm.set('Config.1.ThemeOverride','standard', 0) dsm.set('Config.1.expRev','175148', 0) dsm.set('Config.1.primaryCoopId','78526000', 0) dsm.set('Config.1.wda','SJU', 0) dsm.set('Config.1.primaryObsStation','TJSJ', 0) #dsm.set('Config.1.primaryLat',18.3, 0) dsm.set('Config.1.Clock','scmt.clock', 0) #dsm.set('Config.1.primaryLon',-66, 0) dsm.set('Config.1.primaryZone','PRZ001', 0) dsm.set('Config.1.climoRegion','5', 0) dsm.set('Config.1.SevereClock','scmt_severe.clock', 0) # #wxdata.setTimeZone('AST') wxdata.setTimeZone('AST4ADT') # # Use only for debugging ds.commit() # Default Config for Forecast Pane d = twc.Data() d.locName = 'PUERTO RICO METRO' d.coopId = '72219000' 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']) wxdata.setInterestList('mercator.us', '1', [ 'radar.us',]) wxdata.setInterestList('mercator.cb.local', '1', ['radar.pr',]) # wxdata.setInterestList('radar.pr.cuts', '1', ['Config.1.Local_MetroDopplerRadar',]) wxdata.setInterestList('radar.us.cuts', '1', [ 'Config.1.Local_RegionalDopplerRadar',]) wxdata.setInterestList('radarSatellite.us.cuts', '1', [ 'Config.1.Local_RadarSatelliteComposite',]) #wxdata.setInterestList('satellite.us.cuts', '1', [ 'Config.1.Local_Satellite',]) # wxdata.setInterestList('mapData', '1', [ 'mercator.cb.local','mercator.us','lambert.us',]) # wxdata.setInterestList('imageData', '1', [ 'radarSatellite.us','radar.us','radar.pr',]) # wxdata.setInterestList('coopId', '1', [ '72315090','72410028','78514002','78526000','78526022','78535001','78543000','78547000']) wxdata.setInterestList('airportId', '1', ['FLL','MIA','PBI']) wxdata.setInterestList('obsStation', '1', ['KFLL','KMIA','KPBI','TIST','TISX','TJBQ','TJMZ','TJNR','TJPS','TJSJ']) wxdata.setInterestList('zone.cwf', '1', ['AMZ720']) wxdata.setInterestList('skiId', '1', ['704006','804001']) wxdata.setInterestList('zone', '1', ['PRZ001']) wxdata.setInterestList('tideStation', '1', ['E0004751','E9755371']) wxdata.setInterestList('aq', '1', ['zz001',]) wxdata.setInterestList('climId', '1', ['668812',]) wxdata.setInterestList('county', '1', ['PRC127','PRC021','PRC031','PRC033','PRC061','PRC135','PRC137','PRC139',]) wxdata.setInterestList('metroId', '1', [ '32','23']) wxdata.setInterestList('indexId', '1', ['TJSJ']) wxdata.setInterestList('keyRoute', '1', [ '32.93121','32.93148','32.93066']) dsm.set('Config.1.countyNameList', [('PRC127','San Juan'),('PRC021','Bayamon'),('PRC031','Carolina'),('PRC033','Catano'),('PRC061','Guaynabo'),('PRC135','Toa Alta'),('PRC137','Toa Baja'),('PRC139','Trujillo Alto'),], 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='78526000', locName='SAN JUAN', minPageDuration=6, maxPageDuration=14, ) dsm.set('Config.1.Local_TextForecast', d, 0) # ============================================================================= # 7DayForecast d = twc.Data(coopId='78526000', locName='SAN JUAN', ) 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=-66, latitude=18.43, ) dsm.set('Config.1.Local_Almanac', d, 0) # ============================================================================= # Climatology d = twc.Data(longitude=-66, latitude=18.43, climId=['668812'], locName='SAN JUAN INTL.', obsStation='TJSJ', ) dsm.set('Config.1.Local_Climatology', d, 0) # ============================================================================= # CurrentConditions d = twc.Data(obsStation=['SENSOR','TJSJ','TJPS'], locName=['San Juan','SAN JUAN INTL.','PONCE'], ) dsm.set('Config.1.Local_CurrentConditions', d, 0) # ============================================================================= # Squeeze Back CurrentConditions d = twc.Data(obsStation=['SENSOR','TJSJ','TJPS'], locName=['San Juan','SAN JUAN INTL.','PONCE'], elementDuration = 6, ) dsm.set('Config.1.Cc_CurrentConditions', d, 0) # ============================================================================= # DaypartForecast d = twc.Data(coopId=['78526000', ], locName=['SAN JUAN', ] ) 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='78526000', location='SAN JUAN', ) dsm.set('Config.1.Local_ExtendedForecast', d, 0) # ============================================================================= # GetawayForecast d = twc.Data(coopId=['78535001','78526022','78514002'], locNameList=['Fajardo','Mayaguez','Ponce'], ) dsm.set('Config.1.Local_GetawayForecast', d, 0) # ============================================================================= # HeatSafetyTips d = twc.Data(obsStation='TJSJ', locName='SAN JUAN INTL.', heatIndexThreshold=105, ) dsm.set('Config.1.Local_HeatSafetyTips', d, 0) # ============================================================================= # LocalObservations d = twc.Data(obsStation=['TJBQ','TJMZ','KMIA','TJPS','TJNR','TJSJ','TIST','TISX'], locName=['Aquadilla','Mayaguez','Miami','Ponce','Roosevelt Roads','San Juan Intl.','St. Thomas','St. Croix'], ) dsm.set('Config.1.Local_LocalObservations', d, 0) #============================================================================== # Lower Display Line d = twc.Data( obsStation=['SENSOR','TJSJ','TJPS'], obsLocName=['San Juan','San Juan Intl.','Ponce'], ) 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=['FLL','MIA','PBI'], displayFlag=[1,1,0], obsStation=['KFLL', 'KMIA', 'KPBI'], locName=[ "Miami", "Fort Lauderdale", "West Palm Beach" ], ) dsm.set('Config.1.Ldl_AirportDelayConditions', d, 0, 1) d = twc.Data( aq='ca031', locName='Hemet/Elsinore', startDate=(10, 1), endDate=(12, 31), ) dsm.set('Config.1.Ldl_AirQualityForecast', d, 0) d = twc.Data( latitude = 18.43, longitude = -66, ) dsm.set('Config.1.Ldl_SunriseSunset', d, 0) d = twc.Data( coopId=['78535001','78526022','78514002'], locName=['Fajardo','Mayaguez','Ponce'], ) 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) d = twc.Data( coopId='78526000', locName='SAN JUAN', 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( coopId='78526000', locName='SAN JUAN', ) 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=['KATL','KORD']) 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='AMZ720', locName='PUERTO RICO N. SHORE COASTAL WATERS', ) dsm.set('Config.1.Local_MarineForecast', d, 0) # ============================================================================= # MAP: 70853 # MetroDopplerRadar (MAP DATA) # d = twc.Data(mapName='mercator.cb.local.tif', mapcutCoordinate=(2540,1044), mapcutSize=(1024,683), mapFinalSize=(720,480), mapMilesSize=(370,247), datacutType='radar.pr', datacutCoordinate=(396,152), datacutSize=(528,293), 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 ( ( (311,193),'Ponce',), ( (365,286),'San Juan',), ( (495,236),'St. Thomas',), ( (523,151),'St. Croix',), ( (160,251),'Mayaquez',), ), ), ( # 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 ( ( (311,193),'Ponce',), ( (365,286),'San Juan',), ( (495,236),'St. Thomas',), ( (523,151),'St. Croix',), ( (160,251),'Mayaquez',), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification ( ( 'locatorDot', 0, 1, 0), ( ( (333,210),), ( (404,265),), ( (544,253),), ( (559,168),), ( (265,248),), ), ), ( ( 'locatorDotOutline', 0, 2, 1), ( ( (333,210),), ( (404,265),), ( (544,253),), ( (559,168),), ( (265,248),), ), ), ], 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 = 'PRZ001', ) dsm.set('Config.1.Local_NWSHeadlines', d, 0) # ============================================================================= # MAP: 454 # RadarSatelliteComposite (MAP DATA) # d = twc.Data(mapName='lambert.us.tif', mapcutCoordinate=(2441,1801), mapcutSize=(1725,1150), mapFinalSize=(720,480), mapMilesSize=(1652,1116), datacutType='radarSatellite.us', datacutCoordinate=(361,584), datacutSize=(887,594), dataFinalSize=(720,480), dataOffset=(0,0), vectors=['lambert.us.coastlines.vg','lambert.us.states.vg',], ) 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=['78526000', ], climId=['668812', ], obsStation=['TJSJ', ], locName=['San Juan Intl.', ], fcstLowOffset=0, fcstHighOffset=0, ) dsm.set('Config.1.Local_RecordHighLow', d, 0) # ============================================================================= # SchoolDayWeather d = twc.Data(coopId='72219000', obsStation=['KATL', 'KORD', ], 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='72219000', ) dsm.set('Config.1.Local_OutdoorActivityForecast', d, 0) # ============================================================================= ## MAP: 52810 ## RegionalDopplerRadar (MAP DATA) ## d = twc.Data(mapName='mercator.us.bfg', mapcutCoordinate=(29327,12474), mapcutSize=(3124,2083), mapFinalSize=(720,480), mapMilesSize=(295,236), datacutType='radar.us', datacutCoordinate=(3193,1191), datacutSize=(383,255), dataFinalSize=(720,480), dataOffset=(0,0), vectors=['mercator.us.ushighways.vg','mercator.us.counties.vg','mercator.us.states.vg','mercator.us.coastlines.vg','mercator.us.statehighways.vg','mercator.us.otherroutes.vg','mercator.us.interstates.vg',], ) 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 ( ( (341,116),'Scranton',), ( (162,228),'Elmira',), ( (247,301),'Ithaca',), ( (370,233),'Binghamton',), ( (341,365),'Syracuse',), ( (540,311),'Albany',), ( (538,157),'Poughkeepsie',), ( (149,132),'Williamsport',), ), ), ( # 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 ( ( (341,116),'Scranton',), ( (162,228),'Elmira',), ( (247,301),'Ithaca',), ( (370,233),'Binghamton',), ( (341,365),'Syracuse',), ( (540,311),'Albany',), ( (538,157),'Poughkeepsie',), ( (149,132),'Williamsport',), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification, layer mask, and erase bit (( 'locatorDot', 0, 1, 0), ( ( (379,133),), ( (232,225),), ( (271,280),), ( (350,230),), ( (321,362),), ( (614,308),), ( (598,174),), ( (205,111),), ), ), (( 'locatorDotOutline', 0, 2, 1), ( ( (379,133),), ( (232,225),), ( (271,280),), ( (350,230),), ( (321,362),), ( (614,308),), ( (598,174),), ( (205,111),), ), ), ], # 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,), ( ( (83,248),'86',), ( (313,313),'81',), ( (470,114),'84',), ( (588,243),'87',), ( (171,346),'90',), ), ), (( ('interstateSignOutline', 0, 2, 1), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (83,248),'86',), ( (313,313),'81',), ( (470,114),'84',), ( (588,243),'87',), ( (171,346),'90',), ), ), (( ('stateHwySign', 0, 1, 0), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (280,211),'17',), ), ), (( ('stateHwySignOutline', 0, 2, 1), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (280,211),'17',), ), ), ], vector = [ # vector files have a thickness and a color and a layerMask (( 4, (20,20,20,96), 1, ), ( ('ushighways',),),), (( 4, (20,20,20,96), 1, ), ( ('statehighways',),),), (( 4, (20,20,20,96), 1, ), ( ('otherroutes',),),), (( 4, (20,20,20,96), 1, ), ( ('interstates',),),), (( 2, (20,20,20,255), 2, ), ( ('counties',),),), (( 2, (20,20,20,255), 2, ), ( ('coastlines',),),), (( 4, (20,20,20,255), 2, ), ( ('states',),),), (( 2, (130,130,130,255), 2, ), ( ('ushighways',),),), (( 2, (130,130,130,255), 2, ), ( ('statehighways',),),), (( 2, (130,130,130,255), 2, ), ( ('otherroutes',),),), (( 2, (130,130,130,255), 2, ), ( ('interstates',),),), ], ) dsm.set('Config.1.Local_RegionalDopplerRadar', d, 0) # # # ============================================================================= # MAP: 70856 # RegionalForecastMap (MAP DATA) # d = twc.Data(mapName='mercator.cb.local.tif', mapcutCoordinate=(2654,1080), mapcutSize=(888,592), mapFinalSize=(720,480), mapMilesSize=(321,214), ) wxdata.setMapData('Config.1.Local_RegionalForecastMap', d, 0) # ## 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 ( ( (266,242),'Ponce',), ( (329,305),'San Juan',), ( (471,291),'St. Thomas',), ( (510,192),'St. Croix',), ), ), ], 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,), ( ( '78514002',(293,206),), ( '78526000',(375,269),), ( '78543000',(528,255),), ( '78547000',(553,156),), ), ), ], fcstIcon = [ # fcstIcons have one property: justification # fcstIcons have an coopId and a position ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( '78514002',(296,170),), ( '78526000',(378,233),), ( '78543000',(531,219),), ( '78547000',(556,120),), ), ), ], vector = [], ) dsm.set('Config.1.Local_RegionalForecastMap', d, 0) # ============================================================================= # MAP: 70855 # RegionalObservationMap (MAP DATA) # d = twc.Data(mapName='mercator.cb.local.tif', mapcutCoordinate=(2654,1080), mapcutSize=(888,592), mapFinalSize=(720,480), mapMilesSize=(321,214), ) 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,), ( ( 'TIST',(528,255),), ( 'TISX',(553,156),), ( 'TJPS',(293,206),), ( 'TJSJ',(375,269),), ), ), ], obsIcon = [ ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( 'TIST',(531,219),), ( 'TISX',(556,120),), ( 'TJPS',(296,170),), ( 'TJSJ',(378,233),), ), ), ], 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, (), 1, 0, 0,), #Properties ( ( (471,291),'St. Thomas',), ( (510,192),'St. Croix',), ( (266,242),'Ponce',), ( (329,305),'San Juan',), ), ), ], ) dsm.set('Config.1.Local_RegionalObservationMap', d, 0) dsm.set('Config.1.Local_MetroObservationMap', d, 0) # ============================================================================= # Tides d = twc.Data(tideStation=['E9755371','E0004751'], locName=['San Juan','Playa de Fajardo'], ) dsm.set('Config.1.Local_Tides', d, 0) # ============================================================================= # no commit needed - loadSCMTconfig.py does it for us now