# 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.PlaylistOverride', 'SouthernCalifornia', 0) #dsm.set('Config.1.PlaylistOverride', 'WestCoastUS', 0) #dsm.set('Config.1.PlaylistOverride', 'Test', 0) # dsm.set('affiliateNumber', '1023', 0) dsm.set('dmaCode', '100', 0) dsm.set('PrimaryCounty', 'GAC067', 0) dsm.set('stateCode', 'GA', 0) # 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 = 'Atlanta 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', 'satellite.us']) wxdata.setInterestList('mercator.us', '1', [ 'radar.us',]) # wxdata.setInterestList('radar.us.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.us.cuts', '1', [ 'Config.1.Local_Satellite',]) # wxdata.setInterestList('mapData', '1', [ 'mercator.us','lambert.us',]) # wxdata.setInterestList('imageData', '1', [ 'radarSatellite.us','radar.us','satellite.us',]) # wxdata.setInterestList('coopId', '1', [ '71892000','71892001','71913000','71936000','71966000','72205000','72205076','72208000','72214000','72215002','72219000','72227000','72227012','72231000','72235000','72243000','72259000','72259018','72295023','72306000','72310000','72327000','72334000','72340008','72353004','72405000','72494000','72503023','72509000','72530000','76595000','78073000','87576000','94767000','72386012', '72217007', '72226004', '72310007', '72324004', '72228005', '72207005', '72314004', '72227016', '72227025', '72219020', '72227037', '72227024']) wxdata.setInterestList('airportId', '1', ['ATL', 'ORD', 'CLT']) wxdata.setInterestList('obsStation', '1', ['KAHN','KANB','KATL','KLZU','KFFC','KFTY','KGVL','KIAD','KMGE','KMSP','KORD','KPDK','KVPC','KRYY','KCGZ','KDMA','KFLG','KLUF','KIWA','KPHX','KPRC','KTUS','KMCN','KATL','KMXF','KCUB','KCHA','KBHM','KCHS','KSVN','KCLT']) wxdata.setInterestList('zone.cwf', '1', ['GMZ330']) wxdata.setInterestList('zone', '1', ['GAZ001']) wxdata.setInterestList('tideStation', '1', ['E8461490', 'E0001201']) wxdata.setInterestList('aq', '1', ['ca017', 'ca029', 'ca031', 'va001',]) wxdata.setInterestList('climId', '1', ['090451',]) wxdata.setInterestList('county', '1', ['GAC067', 'GAC121',]) wxdata.setInterestList('metroId', '1', [ '32','23']) wxdata.setInterestList('keyRoute', '1', [ '32.93121','32.93148','32.93066']) dsm.set('Config.1.interestlist.countyNameList', [('GAC067','Cobb'),('GAC121','Fulton'),], 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='72219000', locName='ATLANTA', minPageDuration=6, maxPageDuration=14, ) dsm.set('Config.1.Local_TextForecast', d, 0) # ============================================================================= # 7DayForecast d = twc.Data(coopId='72219000', locName='Atlanta', ) 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=-84.42, latitude=33.65, ) dsm.set('Config.1.Local_Almanac', d, 0) # ============================================================================= # Climatology d = twc.Data(longitude=-84.42, latitude=33.65, climId=['090451'], locName='ATLANTA HARTSFIELD', obsStation='KATL', ) dsm.set('Config.1.Local_Climatology', d, 0) # ============================================================================= # CurrentConditions d = twc.Data(obsStation=['KATL', 'KFTY'], locName=['Atlanta', 'Fulton Co. Arpt.'], ) dsm.set('Config.1.Local_CurrentConditions', d, 0) # ============================================================================= # Squeeze Back CurrentConditions d = twc.Data(obsStation=['KATL', 'KFTY'], locName=['Atlanta', 'Fulton Co. Arpt.'], elementDuration = 6, ) dsm.set('Config.1.Cc_CurrentConditions', d, 0) # ============================================================================= # DaypartForecast d = twc.Data(coopId=['72219000', ], locName=['Atlanta', ] ) 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=A_MOMENT_IN_TIME, eventType = DAY_SUMMARY, overlayImage = '/rsrc/images/eventRacing', #overlayImage = '/rsrc/images/eventRacing', #overlayImage = '/rsrc/images/eventBaseball', #overlayImage = '/rsrc/images/eventBasketball', #overlayImage = '/rsrc/images/eventFootball', #overlayImage = '/rsrc/images/eventGeneric', bkgImage = ('domestic', 'domestic'), #bkgImage = 'Event_Forecast_Core_Blank', #bkgImage = 'Event_Forecast_Core_1', # Marathon Overlay #bkgImage = 'Event_Forecast_Core_2', # Racing Overlay #bkgImage = 'Event_Forecast_Core_3', #bkgImage = 'Event_Forecast_Core_4', #bkgImage = 'Event_Forecast_Core_NA', validTime = vTime ) dsm.set('Config.1.Local_EventForecast', d, 0) # ============================================================================= # ExtendedForecast d = twc.Data(coopId='72219000', location='ATLANTA', ) dsm.set('Config.1.Local_ExtendedForecast', d, 0) # ============================================================================= # GetawayForecast d = twc.Data(coopId=['72205000', '72219000', '72259000'], locNameList=['Orlando', 'Atlanta', 'Dallas/Ft Worth'], ) dsm.set('Config.1.Local_GetawayForecast', d, 0) # ============================================================================= # HeatSafetyTips d = twc.Data(obsStation='KIAD', locName='WASHINGTON, DC', heatIndexThreshold=100, ) dsm.set('Config.1.Local_HeatSafetyTips', d, 0) # ============================================================================= # LocalObservations d = twc.Data(obsStation=['KAHN','KANB','KATL','KLZU','KFFC','KFTY', 'KGVL','KMGE'], locName=['Athens', 'Anniston', 'Atlanta', 'Lake Lanier', 'Peachtree City', 'Fulton Cnty Arpt', 'Gainesville', 'Marietta'], ) dsm.set('Config.1.Local_LocalObservations', d, 0) #============================================================================== # Lower Display Line d = twc.Data( obsStation=['KATL','KORD'], obsLocName=['Atlanta', 'Chicago O\'Hare'], ) 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=['ATL', 'ORD', 'CLT'], displayFlag=[1,1,0], obsStation=['KATL', 'KORD', 'KCLT'], locName=[ "Hartsfield Int'l", "Chicago O'Hare", "Douglas Int'l" ], ) 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 = 33.65, longitude = -84.42, ) dsm.set('Config.1.Ldl_SunriseSunset', d, 0) d = twc.Data( coopId=['72205000', '72219000', '72259000'], locName=['Orlando', 'Atlanta', 'Dallas/Ft Worth'], ) 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='72219000', locName='Atlanta', 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='72219000', locName='Atlanta', ) 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='GMZ330', locName='DAYTONA BEACH SHORES', ) dsm.set('Config.1.Local_MarineForecast', d, 0) # ============================================================================= # MetroDopplerRadar (MAP DATA) d = twc.Data(mapName = 'mercator.us.bfg', mapcutCoordinate = (25739,8325), mapcutSize = (1090,727), mapFinalSize = (720,480), mapMilesSize = (120,97), datacutType = 'radar.us', datacutCoordinate = (2754,682), datacutSize = (133,89), dataFinalSize = (720,480), 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.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 ( ( (369,240), 'Atlanta', ), ( (120,174), 'Carrollton', ), ( (64,338) , 'Cedartown', ), ( (389,351), 'Alpharetta', ), ( (251,356), 'Acworth', ), ( (499,315), 'Lawrenceville', ), ( (350,132), 'Peachtree City', ), ( (484,218), 'Conyers', ), ), ), ( # 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 ( ( (369,240), 'Atlanta', ), ( (120,174), 'Carrollton', ), ( (64,338) , 'Cedartown', ), ( (389,351), 'Alpharetta', ), ( (251,356), 'Acworth', ), ( (499,315), 'Lawrenceville', ), ( (350,132), 'Peachtree City', ), ( (484,218), 'Conyers', ), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification ( ( 'locatorDot', 0, 1, 0), ( ( (350,237), ), ( (100,171), ), ( (45,336), ), ( (371,348), ), ( (231,353), ), ( (518,328), ), ( (331,129), ), ( (465,215), ), ), ), ( ( 'locatorDotOutline', 0, 2, 1), ( ( (350,237), ), ( (100,171), ), ( (45,336), ), ( (371,348), ), ( (231,353), ), ( (518,328), ), ( (331,129), ), ( (465,215), ), ), ), ( ( 'airplane', 0, 1, 0), ( ( (336,199), ), ), ), ( ( 'airplaneOutline', 0, 2, 1), ( ( (336,199), ), ), ), ], # just like a tiffImage, but with a text string label centered over it labeledTiffImage = [ # labeledTiffImage have a position and a string to center over the image (( ('interstateSign', 0, 1, 0), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (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'), ), ), (( ('interstateSignOutline', 0, 2, 1), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (75,214), '20'), ( (432,93), '75'), ( (451,314), '85'), ( (583,183), '20'), ), ), (( ('interstateSignOutline', 0, 2, 1), 'Interstate-BoldCondensed', 16, (212,212,212,255), 0, 0, 0,), ( ( (281,171), '285'), ), ), ], vector = [ # vector files have a thickness and a color and a layerMask (( 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',),),), (( 2, (20,20,20,255), 2, ), ( ('counties',),),), (( 2, (20,20,20,255), 2, ), ( ('coastlines',),),), (( 4, (20,20,20,255), 2, ), ( ('states',),),), (( 4, (130,130,130,255), 2, ), ( ('ushighways',),),), (( 4, (130,130,130,255), 2, ), ( ('statehighways',),),), (( 4, (130,130,130,255), 2, ), ( ('otherroutes',),),), (( 4, (130,130,130,255), 2, ), ( ('interstates',),),), ], ) 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) # ============================================================================= # MetroObservationMap (MAP DATA) d = twc.Data(mapName='mercator.us.bfg', mapcutCoordinate=(25739,8325), mapcutSize=(1090,727), mapFinalSize=(720,480), 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_MetroObservationMap', d, 0) # MetroObservationMap (MAP 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, (), 1, 0, 0,), #Properties ( ( (214,145), 'Peachtree City') , ( (292,305), 'Atlanta'), ( (157,385), 'Acworth'), ( (95,245), 'Douglasville'), ( (435,209), 'Conyers'), ( (497,328), 'Lawrenceville'), ( (310,375), 'Alpharetta'), ), ), ], 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,), ( ( 'KFFC', (288,100)), ( 'KATL', (322,262)), ( 'KRYY', (192,341)), ( 'KFTY', (159,205)), ( 'KLZU', (477,168)), ( 'KLZU', (553,294)), ( 'KPDK', (355,335)), ), ), ], obsIcon = [ # obsIcons have one property: justification # obsIcons have an obsStation and a position ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( 'KFFC', (295,76)), ( 'KATL', (325,235)), ( 'KRYY', (195,317)), ( 'KFTY', (163,175)), ( 'KLZU', (480,148)), ( 'KLZU', (560,263)), ( 'KPDK', (355,310)), ), ), ], vector = [ # vector files have a thickness and a color and a layerMask (( 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 (( 'airplane', 0, 1, 0), ( ( (336,199),), ), ), (( 'airplaneOutline', 0, 1, 0), ( ( (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,), ( ( (258,201), '20'), ( (401,149), '75'), ( (479,276), '85'), ), ), (( ('interstateSignOutline', 0, 1, 0), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (258,201), '20'), ( (401,149), '75'), ( (479,276), '85'), ), ), (( ('interstateSign', 0, 1, 0), 'Interstate-BoldCondensed', 16, (212,212,212,255), 0, 0, 0,), ( ( (281,171), '285'), ), ), (( ('interstateSignOutline', 0, 1, 0), 'Interstate-BoldCondensed', 16, (212,212,212,255), 0, 0, 0,), ( ( (281,171), '285'), ), ), ], ) dsm.set('Config.1.Local_MetroObservationMap', d, 0) # ============================================================================= # NWSHeadlines d = twc.Data(zone = 'GAZ001', ) 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=['72219000', ], climId=['090451', ], obsStation=['KATL', ], locName=['Atlanta', ], 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) # ============================================================================= # RegionalDopplerRadar (MAP DATA) d = twc.Data(mapName = 'mercator.us.bfg', mapcutCoordinate=(24452,7617), mapcutSize=(3480,2320), mapFinalSize=(720,480), mapMilesSize=(376,301), datacutType='radar.us', datacutCoordinate=(2596,596), datacutSize=(426,284), dataFinalSize=(720,480), 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.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 ( ( (390,220), 'Atlanta', ), ( (115,190), 'Birmingham', ), ( (138,324), 'Huntsville', ), ( (204,248), 'Gadsen', ), ( (306,270), 'Rome', ), ( (293,366), 'Chattanooga',), ( (583,299), 'Anderson', ), ( (467,120), 'Athens', ), ( (501,236), 'Macon', ), ), ), ( # 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 ( ( (390,220), 'Atlanta', ), ( (115,190), 'Birmingham', ), ( (138,324), 'Huntsville', ), ( (204,248), 'Gadsen', ), ( (306,270), 'Rome', ), ( (293,366), 'Chattanooga',), ( (583,299), 'Anderson', ), ( (467,120), 'Athens', ), ( (501,236), 'Macon', ), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification, layer mask, and erase bit (( 'locatorDot', 0, 1, 0), ( ( (371,217), ), ( (95,187), ), ( (116,321), ), ( (184,245), ), ( (286,267), ), ( (273,363), ), ( (563,296), ), ( (447,117), ), ( (481,232), ), ), ), (( 'locatorDotOutline', 0, 2, 1), ( ( (371,217), ), ( (95,187), ), ( (116,321), ), ( (184,245), ), ( (286,267), ), ( (273,363), ), ( (563,296), ), ( (447,117), ), ( (481,232), ), ), ), ], # 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,), ( ( (258,201), '20'), ( (401,149), '75'), ( (479,276), '85'), ), ), (( ('interstateSignOutline', 0, 2, 1), 'Interstate-BoldCondensed', 18, (212,212,212,255), 0, 0, 0,), ( ( (258,201), '20'), ( (401,149), '75'), ( (479,276), '85'), ), ), ], 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) # ============================================================================= # RegionalForecastMap (MAP DATA) d = twc.Data(mapName = 'mercator.us.bfg', mapcutCoordinate = (23705,6513), mapcutSize = (6887,4589), mapFinalSize = (720,480), mapMilesSize = (300,250), vectors = [ 'mercator.us.states.vg', 'mercator.us.coastlines.vg', ], ) 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, 0,), #Properties # list of locNames with positions ( ( (279,164), 'Macon', ), ( (237,254), 'Atlanta', ), ( (85,159) , 'Montgomery', ), ( (413,294), 'Columbia', ), ( (139,345), 'Chattanooga', ), ( (65,245) , 'Birmingham', ), ( (505,209), 'Charleston', ), ( (397,145), 'Savannah', ), ( (472,378), 'Charlotte', ), ), ), ], 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,), ( ( '72217007', (298,125)), ( '72219000', (266,212)), ( '72226004', (135,117)), ( '72310007', (448,253)), ( '72324004', (197,306)), ( '72228005', (119,205)), ( '72208000', (549,168)), ( '72207005', (426,102)), ( '72314004', (508,337)), ), ), ], fcstIcon = [ # fcstIcons have one property: justification # fcstIcons have an coopId and a position ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( '72217007', (315,96)), ( '72219000', (270,181)), ( '72226004', (148,93)), ( '72310007', (460,227)), ( '72324004', (203,277)), ( '72228005', (133,175)), ( '72208000', (555,140)), ( '72207005', (444,77)), ( '72314004', (520,310)), ), ), ], # NOTE: Vectors go on layer 1 because they are displayed for the entire duration vector = [ # vector files have a thickness and a color (( 2, (20,20,20,255), 1, ), ( ('states',),),), (( 2, (20,20,20,255), 1, ), ( ('coastlines',),),), ], ) dsm.set('Config.1.Local_RegionalForecastMap', d, 0) # ============================================================================= # RegionalObservationMap (MAP DATA) d = twc.Data(mapName = 'mercator.us.bfg', mapcutCoordinate = (23705,6513), mapcutSize = (6887,4589), mapFinalSize = (720,480), mapMilesSize = (300,250), vectors = [ 'mercator.us.states.vg', 'mercator.us.coastlines.vg', ], ) wxdata.setMapData('Config.1.Local_RegionalObservationMap', d, 0) # RegionalObservationMap (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, (), 1, 0, 0,), #Properties ( ( (279,164), 'Macon') , ( (237,254), 'Atlanta'), ( (85,159) , 'Montgomery'), ( (413,294), 'Columbia'), ( (139,345), 'Chattanooga'), ( (65,245) , 'Birmingham'), ( (505,209), 'Charleston'), ( (397,145), 'Savannah'), ( (472,378), 'Charlotte'), ), ), ], 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,), ( ( 'KMCN', (308,125)), ( 'KATL', (266,212)), ( 'KMXF', (145,117)), ( 'KCUB', (458,253)), ( 'KCHA', (197,306)), ( 'KBHM', (129,205)), ( 'KCHS', (549,168)), ( 'KSVN', (436,102)), ( 'KCLT', (518,337)), ), ), ], obsIcon = [ # obsIcons have one property: justification # obsIcons have an obsStation and a position ( (0, 2, 0,), #Properties - justification and layerMask, eraseBit ( ( 'KMCN', (315,96)), ( 'KATL', (270,181)), ( 'KMXF', (148,93)), ( 'KCUB', (460,227)), ( 'KCHA', (203,277)), ( 'KBHM', (133,175)), ( 'KCHS', (555,140)), ( 'KSVN', (444,77)), ( 'KCLT', (520,310)), ), ), ], vector = [ # vector files have a thickness and a color and a layerMask (( 2, (20,20,20,255), 1, ), ( ('states',),),), (( 2, (20,20,20,255), 1, ), ( ('coastlines',),),), ], ) dsm.set('Config.1.Local_RegionalObservationMap', d, 0) # ============================================================================= # Satellite (MAP DATA) d = twc.Data(mapName='lambert.us.tif', mapcutCoordinate=(1368,1770), mapcutSize=(2264,1510), mapFinalSize=(720,480), mapMilesSize=(1300,750), vectors=['lambert.us.states.vg','lambert.us.coastlines.vg',], datacutType='satellite.us', datacutCoordinate=(346,527), datacutSize=(608,407), 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 ( ( (431,290), 'Seattle', ), ( (500,265), 'Spokane', ), ( (418,244), 'Portland', ), ), ), ], tiffImage = [ # the property of a tiffImage is the image name and its justification, layerMask, eraseBit (('locatorDot', 0, 2, 0), ( ( (412,287), ), ( (481,262), ), ( (399,241), ), ), ), (('locatorDotOutline', 0, 2, 0), ( ( (412,287), ), ( (481,262), ), ( (399,241), ), ), ), ], 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_Satellite', d, 0) # ============================================================================= # Tides d = twc.Data(tideStation=['E8461490', 'E0001201'], locName=['New London, Connecticut (State Pier)','West Harbor, Fishers Island, New York'], ) 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