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pulls the surf report using python and Surfline's API, pushes over BLE to the Bean, which displays it on a canvas surf map, using Neopixel LED arrays
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shawnp/BeanSurfMap
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This python code pulls the report using Surfline's API. The URLs look like this: http://api.surfline.com/v1/forecasts/0000?resources=surf,analysis&days=6&getAllSpots=false&units=e&interpolate=false&showOptimal=false except where the 0000 is replaced by a 4 digit number. This is the ID of the spot or region. Each specific spot has both a spot ID and regional ID. The spot ID will give you todays forecast specific to that spot, where the next 5 days are for the region. So when you createa 'surf spot' like this oceanBeach = SurfSpot("Ocean Beach", "4127", "2957") the first number is the spot ID, the second is the region ID. The data is packed into 16 byte chunks an sent over serial using the Beans virtual serial function. A typical chunk looks like this: [0,0,6,1,2,3,4,5,5,1,4,5,5,7,5,5] The data is indexed like the below: index0: the row of neopixels to update, the 'surf spot'. This is 0-6 on my map, since I have 7 spots total index1: 0 denotes that wave heights are the next piece of data to come index2: the days in the forecast. typically 6. index3-8: wave heights in feet index9: 1 denotes that wave conditions will come next index10-15: wave conditions. 0-10. possiblities are: ["","flat", "very poor", "poor","poor to fair","fair","fair to good","good","very good","good to epic","epic"] On the surf map, the arduino code sets brightness and color. Blue is poor, blue-green is poor to fair, green is fair, orange is good, red is EPIC! I use Wunderground's API for the tide times. See http://api.wunderground.com
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pulls the surf report using python and Surfline's API, pushes over BLE to the Bean, which displays it on a canvas surf map, using Neopixel LED arrays
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