Search an openweathermap array for "temp"

General
1

Is it possible to search an array containing hourly data fromopenweathermap?

What I want is the "temp" predictions for the period of one day (24 hours) to produce a chart of today's temperature.

What are peoples thoughts/suggestions on how to get "temp". I have given this thought but it seems over complicated, is that just my lack of understanding? I have tried using a for loop to work through the array hoping to increment from payload.hourly[0] to payload.hourly[1] etc but that isn't permissible.

Thanks for your knowledge

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2

I have used this flow to display Open Weather Data on a Dashboard page.

You should be able to break it down easily to see how to extract the data.

3

Here is a JSONata example of how to return temps first 24., and how to convert those to a line chart data.

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for bar chart","rules":[{"t":"set","p":"payload","pt":"msg","to":"payload.hourly.temp[[0..23]]","tot":"jsonata"}],"action":"","property":"","from":"","to":"","reg":false,"x":400,"y":220,"wires":[["aa51af73.3bbed"]]},{"id":"4703231a.02890c","type":"change","z":"c791cbc0.84f648","name":"data for line chart","rules":[{"t":"set","p":"payload","pt":"msg","to":"payload.hourly[[0..23]].{\"x\": $.dt, \"y\":$.temp}","tot":"jsonata"}],"action":"","property":"","from":"","to":"","reg":false,"x":340,"y":260,"wires":[["aa51af73.3bbed"]]},{"id":"aa51af73.3bbed","type":"debug","z":"c791cbc0.84f648","name":"","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"false","statusVal":"","statusType":"auto","x":580,"y":280,"wires":[]}]

You could also do similar in a function node, you would save a few milliseconds.

[edit] the dt timestamp is unix in seconds, so to convert to JS timestamp in milliseconds you would need to multiply by 1000.
So the JSONata expression would need to be

payload.hourly[[0..23]].{"x": $.dt*1000, "y":$.temp}

The same but in Javascript for a function node

msg.payload = msg.payload.hourly.slice(0,24).map(e=>{
    return {x: e.dt*1000, y: e.temp}
})
return msg;
1 Like
4

@E1cid that looks very good and saves a lot of typing.

I have tried it but get a "Bad data inject" message and no chart. I'll take a look.

Bad data inject

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for bar chart","rules":[{"t":"set","p":"payload","pt":"msg","to":"payload.hourly.temp[[0..23]]","tot":"jsonata"}],"action":"","property":"","from":"","to":"","reg":false,"x":340,"y":200,"wires":[[]]},{"id":"4703231a.02890c","type":"change","z":"1744d37c2c9f5c5f","name":"data for line chart","rules":[{"t":"set","p":"payload","pt":"msg","to":"payload.hourly[[0..23]].{\"x\": $.dt, \"y\":$.temp}","tot":"jsonata"}],"action":"","property":"","from":"","to":"","reg":false,"x":280,"y":240,"wires":[["aa51af73.3bbed","831b08f26ad9a13c"]]},{"id":"aa51af73.3bbed","type":"debug","z":"1744d37c2c9f5c5f","name":"","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"false","statusVal":"","statusType":"auto","x":520,"y":260,"wires":[]},{"id":"831b08f26ad9a13c","type":"ui_chart","z":"1744d37c2c9f5c5f","name":"","group":"2ce3f2e45615dfc1","order":5,"width":0,"height":0,"label":"chart","chartType":"line","legend":"false","xformat":"auto","interpolate":"linear","nodata":"","dot":true,"ymin":"0","ymax":"50","removeOlder":"24","removeOlderPoints":"","removeOlderUnit":"3600","cutout":0,"useOneColor":false,"useUTC":false,"colors":["#1f77b4","#aec7e8","#ff7f0e","#2ca02c","#98df8a","#d62728","#ff9896","#9467bd","#c5b0d5"],"outputs":1,"useDifferentColor":false,"className":"","x":480,"y":360,"wires":[[]]},{"id":"2ce3f2e45615dfc1","type":"ui_group","name":"Weather 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5

Sorry I asumed you knew the format for the chart. I was just showing how to return the data for the data section of the chart array.
The Jsonata to create the full array the chart requires is

[
   {
       "series":[],
       "data":[
           [
               $$.payload.hourly[[0..23]].{"x": $.dt, "y":$.temp}
           ]
       ],
       "labels":[]
}
]
6

Thanks for help, I'm not familiar with JSONata yet although I have heard of it.

7

It is basically a Json, but you can use expressions to add data within the Json, as in the data property. The expression adds an array of objects in the data property array.

8

@E1cid . Embarrassed to admit I can't get this to work!

[{"id":"33e68e32002c3800","type":"tab","label":"Flow 3","disabled":false,"info":"","env":[]},{"id":"a0e10690b23fc614","type":"function","z":"33e68e32002c3800","name":"","func":"var weather = flow.get(\"location\");\n\nmsg.payload =[{\"series\":[],\"data\":[[weather.hourly[[0..23]].{\"x\": $.dt*1000, \"y\":$.temp},]],\"labels\":[]}];\n\nreturn msg;\n\n","outputs":1,"noerr":10,"initialize":"","finalize":"","libs":[],"x":340,"y":180,"wires":[[]]}]

SyntaxError: Unexpected number (body:line 3)
9

You are trying to use JSONata in a function node. You can only use Javascript there. JSONata is used in a change node.

examples of both

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sky\",\"icon\":\"01d\"}],\"pop\":0},{\"dt\":1643734800,\"temp\":16.46,\"feels_like\":15.15,\"pressure\":1025,\"humidity\":38,\"dew_point\":2.11,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":3.12,\"wind_deg\":148,\"wind_gust\":3.72,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01d\"}],\"pop\":0},{\"dt\":1643738400,\"temp\":14.82,\"feels_like\":13.58,\"pressure\":1025,\"humidity\":47,\"dew_point\":3.63,\"uvi\":0,\"clouds\":1,\"visibility\":10000,\"wind_speed\":2.56,\"wind_deg\":143,\"wind_gust\":2.67,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643742000,\"temp\":13,\"feels_like\":11.84,\"pressure\":1026,\"humidity\":57,\"dew_point\":4.69,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":1.86,\"wind_deg\":169,\"wind_gust\":1.91,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643745600,\"temp\":11.02,\"feels_like\":9.95,\"pressure\":1027,\"humidity\":68,\"dew_point\":5.35,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":1.04,\"wind_deg\":169,\"wind_gust\":1.2,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643749200,\"temp\":9.38,\"feels_like\":8.76,\"pressure\":1028,\"humidity\":77,\"dew_point\":5.1,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":1.68,\"wind_deg\":214,\"wind_gust\":1.72,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643752800,\"temp\":9.14,\"feels_like\":8.5,\"pressure\":1029,\"humidity\":78,\"dew_point\":5.05,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":1.66,\"wind_deg\":240,\"wind_gust\":1.69,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643756400,\"temp\":9.11,\"feels_like\":8.2,\"pressure\":1029,\"humidity\":79,\"dew_point\":5.09,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":1.95,\"wind_deg\":229,\"wind_gust\":1.99,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643760000,\"temp\":9.1,\"feels_like\":7.69,\"pressure\":1028,\"humidity\":79,\"dew_point\":5.22,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":2.59,\"wind_deg\":241,\"wind_gust\":2.59,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643763600,\"temp\":8.89,\"feels_like\":7.51,\"pressure\":1028,\"humidity\":80,\"dew_point\":5.12,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":2.5,\"wind_deg\":253,\"wind_gust\":2.41,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643767200,\"temp\":8.86,\"feels_like\":7.44,\"pressure\":1028,\"humidity\":77,\"dew_point\":4.66,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":2.54,\"wind_deg\":255,\"wind_gust\":2.52,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643770800,\"temp\":8.94,\"feels_like\":7.42,\"pressure\":1027,\"humidity\":72,\"dew_point\":3.66,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":2.71,\"wind_deg\":252,\"wind_gust\":2.63,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear sky\",\"icon\":\"01n\"}],\"pop\":0},{\"dt\":1643774400,\"temp\":9.15,\"feels_like\":7.58,\"pressure\":1027,\"humidity\":66,\"dew_point\":2.57,\"uvi\":0,\"clouds\":0,\"visibility\":10000,\"wind_speed\":2.86,\"wind_deg\":249,\"wind_gust\":2.75,\"weather\":[{\"id\":800,\"main\":\"Clear\",\"description\":\"clear 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   {        \"series\":[],        \"data\":[            [                $$.payload.hourly[[0..23]].{\"x\": $.dt, \"y\":$.temp}            ]        ],        \"labels\":[] } ]","tot":"jsonata"}],"action":"","property":"","from":"","to":"","reg":false,"x":390,"y":140,"wires":[["82d622f3.5d45c"]]},{"id":"a24203b4.bc6f9","type":"function","z":"33e68e32002c3800","name":"","func":"let data = msg.payload.hourly.slice(0,24).map(e=>{\n    return {x: e.dt*1000, y: e.temp}\n})\nmsg.payload = [{\n    \"series\":[],\n    \"data\":[data],\n    \"labels\":[]\n}]\nreturn 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And here is a link to the chart array formats.

10

Thank you for your help, it is really appreciated. If it wasn't for you and others willing to help people like me I'd have gone back to Lego.

11

@E1cid I wonder if you could give me some more help with this as I'm struggling! I want to create a Long Range Forecast bar graph showing the max temperatures for the next 7 days and although the graph shows most things it does show the bars. I have looked at other post that you have answered but still I can't get it!
The code, the function is the one giving me a problem:-

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And the data:-

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sky","icon":"01d"}],"clouds":0,"pop":0,"uvi":4}],"minutely":[{"dt":1643910720,"precipitation":0},{"dt":1643910780,"precipitation":0},{"dt":1643910840,"precipitation":0},{"dt":1643910900,"precipitation":0},{"dt":1643910960,"precipitation":0},{"dt":1643911020,"precipitation":0},{"dt":1643911080,"precipitation":0},{"dt":1643911140,"precipitation":0},{"dt":1643911200,"precipitation":0},{"dt":1643911260,"precipitation":0},{"dt":1643911320,"precipitation":0},{"dt":1643911380,"precipitation":0},{"dt":1643911440,"precipitation":0},{"dt":1643911500,"precipitation":0},{"dt":1643911560,"precipitation":0},{"dt":1643911620,"precipitation":0},{"dt":1643911680,"precipitation":0},{"dt":1643911740,"precipitation":0},{"dt":1643911800,"precipitation":0},{"dt":1643911860,"precipitation":0},{"dt":1643911920,"precipitation":0},{"dt":1643911980,"precipitation":0},{"dt":1643912040,"precipitation":0},{"dt":1643912100,"precipitation":0},{"dt":1643912160,"precipitation":0},{"dt":1643912220,"precipitation":0},{"dt":1643912280,"precipitation":0},{"dt":1643912340,"precipitation":0},{"dt":1643912400,"precipitation":0},{"dt":1643912460,"precipitation":0},{"dt":1643912520,"precipitation":0},{"dt":1643912580,"precipitation":0},{"dt":1643912640,"precipitation":0},{"dt":1643912700,"precipitation":0},{"dt":1643912760,"precipitation":0},{"dt":1643912820,"precipitation":0},{"dt":1643912880,"precipitation":0},{"dt":1643912940,"precipitation":0},{"dt":1643913000,"precipitation":0},{"dt":1643913060,"precipitation":0},{"dt":1643913120,"precipitation":0},{"dt":1643913180,"precipitation":0},{"dt":1643913240,"precipitation":0},{"dt":1643913300,"precipitation":0},{"dt":1643913360,"precipitation":0},{"dt":1643913420,"precipitation":0},{"dt":1643913480,"precipitation":0},{"dt":1643913540,"precipitation":0},{"dt":1643913600,"precipitation":0},{"dt":1643913660,"precipitation":0},{"dt":1643913720,"precipitation":0},{"dt":1643913780,"precipitation":0},{"dt":1643913840,"precipitation":0},{"dt":1643913900,"precipitation":0},{"dt":1643913960,"precipitation":0},{"dt":1643914020,"precipitation":0},{"dt":1643914080,"precipitation":0},{"dt":1643914140,"precipitation":0},{"dt":1643914200,"precipitation":0},{"dt":1643914260,"precipitation":0},{"dt":1643914320,"precipitation":0}]}

Thanks in anticipation

12

Add data in the inject node
here is an example

[{"id":"c97154acd7e967b6","type":"inject","z":"c791cbc0.84f648","name":"1:05 AM poke","props":[{"p":"payload"},{"p":"topic","vt":"str"}],"repeat":"","crontab":"","once":false,"onceDelay":0.1,"topic":"","payload":"{}","payloadType":"json","x":130,"y":3820,"wires":[["30dccaf64fe0dc0f"]]},{"id":"30dccaf64fe0dc0f","type":"function","z":"c791cbc0.84f648","name":"Long Range Forecast","func":"\nvar weather = global.get(\"location\");\nlet data = msg.payload.daily.slice(0,7).map(e=>{\n    return [e.temp.max,new Date(e.dt*1000).toDateString().substr(0,3)]\n});\ndata[0][1] = \"Today\";\nlet dataC = [];\nlet dataLabels = [];\n\nfor (X=0;X<=6;X++) \n{\n    dataLabels[X] = data[X][1];\n    //msg.payload = dataLabels;\n    dataC[X] = data[X][0];\n    //msg.payload = [dataC,dataLabels];\n}\n\nmsg.payload=[\n    {\n    \"series\":[\"Long Range\"],\n    \"data\":dataC,\n    \"labels\":dataLabels\n    }\n]\n\nreturn msg;","outputs":1,"noerr":0,"initialize":"","finalize":"","x":280,"y":3900,"wires":[["eae893212d3ed631","06be58e2158e9edd"]]},{"id":"eae893212d3ed631","type":"ui_chart","z":"c791cbc0.84f648","name":"","group":"ddfbfabe6c9895b5","order":2,"width":0,"height":0,"label":"Long Range","chartType":"bar","legend":"true","xformat":"HH:mm","interpolate":"linear","nodata":"","dot":false,"ymin":"0","ymax":"30","removeOlder":"5","removeOlderPoints":"","removeOlderUnit":"86400","cutout":0,"useOneColor":false,"useUTC":false,"colors":["#1f77b4","#aec7e8","#ff7f0e","#2ca02c","#98df8a","#d62728","#ff9896","#9467bd","#c5b0d5"],"outputs":1,"useDifferentColor":false,"className":"","x":690,"y":3900,"wires":[[]]},{"id":"06be58e2158e9edd","type":"debug","z":"c791cbc0.84f648","name":"Bar Chart","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"payload","targetType":"msg","statusVal":"","statusType":"auto","x":460,"y":3940,"wires":[]},{"id":"ddfbfabe6c9895b5","type":"ui_group","name":"Forecast","tab":"9a876ff53a95da86","order":2,"disp":true,"width":"6","collapse":false,"className":""},{"id":"9a876ff53a95da86","type":"ui_tab","name":"Weather","icon":"dashboard","order":8,"disabled":false,"hidden":false}]

First you cannot for loop through an object , unless you convert it to an array. So the map returns an array of arrays, containing a temp and the day of week.

I then change first day of week to "today".

The in the for loop i create the two arrays for data and label.
The output has to be an array you missed the [ ] on the msg.payload .

1 Like
13

Thank you once again, I will try and understand each step for the future. I couldn't work out how to change the max temps from being an object in the array and didn't know if it would make any difference. Obviously it does.

14

You could of used objects in an array to, but you don't need objects for the bar chart data, so seemed pointless using objects

1 Like
15

Here is a flow you may or may not like !!

It uses OpenWeathermap - i use it to produce a dashboard that shows me the upcoming cloud cover percentage and to colour code that for my needs (to help with Solar predictions throughout the day)

There is also a 2nd flow that builds an OWM dashboard for me

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wi-darksky-wind\"></i>&nbsp;&nbsp;{{msg.payload.current.wind_cardinal}}","layout":"col-center","x":950,"y":120,"wires":[]},{"id":"37bf1a70.80eb86","type":"ui_text","z":"28bcfd3b.19e6f2","group":"6f74e51a.63121c","order":4,"width":3,"height":1,"name":"SunriseTime","label":"","format":"<i class=\"wi wi-owm-01d\"></i>&nbsp;<i class=\"fa fa-arrow-up\"></i>&nbsp;&nbsp;{{msg.payload.current.sunrise}}","layout":"row-center","x":970,"y":160,"wires":[]},{"id":"650345d6.6128ec","type":"ui_text","z":"28bcfd3b.19e6f2","group":"6f74e51a.63121c","order":6,"width":3,"height":1,"name":"SunsetTime","label":"","format":"<i class=\"wi wi-wu-sunny\"></i>&nbsp;<i class=\"fa fa-arrow-down\"></i>&nbsp;&nbsp;{{msg.payload.current.sunset}}","layout":"row-center","x":970,"y":200,"wires":[]},{"id":"76e92249.33c03c","type":"comment","z":"28bcfd3b.19e6f2","name":"OpenWeatherMap One Call API for Weather and Forecast","info":"","x":230,"y":40,"wires":[]},{"id":"e4b055ee.cfc6d8","type":"ui_template","z":"28bcfd3b.19e6f2","group":"6f74e51a.63121c","name":"Forecast2","order":7,"width":10,"height":2,"format":"<div style=\"height: 100%; justify-content: center; align-items: center;\">\n <div layout=\"rowicons\" layout-align=\"space-around start\" ng-repeat=\"data in msg.payload.rowicons\" style=\"font-size:150%;padding-top: 5px;padding-bottom: 5px\">\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell01}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell02}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell03}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell04}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell05}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell06}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell07}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell08}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell09}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell10}}\"></i></span>\n </div>\n <div layout=\"rowtext\" layout-align=\"space-around start\" ng-repeat=\"data in msg.payload.rowtext\" style=\"line-height: 150%\">\n  <span flex style=\"color: white;text-align: center;\">{{data.cell01}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell02}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell03}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell04}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell05}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell06}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell07}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell08}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell09}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell10}}</span>\n </div>\n</div>","storeOutMessages":true,"fwdInMessages":true,"resendOnRefresh":false,"templateScope":"local","x":960,"y":300,"wires":[[]]},{"id":"77abf7cc.6de6f8","type":"function","z":"28bcfd3b.19e6f2","name":"Format forecast data","func":"var fcdata = {};\nvar units=flow.get('units');\nif (units===undefined)\n{\n  units=\"imperial\";\n}\n\nfunction formatTemp(high, low){\n    if (units == \"imperial\") {\n        if (low){\n          temp = parseFloat(high).toFixed() + '/' + parseFloat(low).toFixed()\n        }\n        else {\n          temp = parseFloat(high).toFixed() + '°F'\n        }\n    }\n    else { // metric\n        if (low){\n          temp = parseFloat(high).toFixed() + '/' + parseFloat(low).toFixed()\n        }\n        else {\n          temp = parseFloat(high).toFixed() + '°C'\n        }\n    }\n    return temp;\n}\n\nfunction dayName(unixTime){\n  var dateObject = new Date(unixTime * 1000);\n  return dateObject.toLocaleString(flow.get('lang'), { timezone: msg.payload.timezone, weekday: 'short'});\n  // If the line above is not producing the correct short weekday names for the language set by 'lang',\n  //   you can try upgrading to NodeJS version 13 or higher (when full international support was added for the toLocaleString function),\n  //   or you can use the code below which is an example for French short weekday names.\n/*  \n  switch (dateObject.toLocaleString('en', { timezone: msg.payload.timezone, weekday: 'short'})) {\n    case 'Mon':\n      return 'Lun';\n    case 'Tue':\n      return 'Mar';\n    case 'Wed':\n      return 'Mer';\n    case 'Thu':\n      return 'Jeu';\n    case 'Fri':\n      return 'Ven';\n    case 'Sat':\n      return 'Sam';\n    case 'Sun':\n      return 'Dim';\n  }\n*/\n}\n\nfunction timeConvert(UNIX_timestamp){\n  var dateObject = new Date(UNIX_timestamp * 1000);\n  if (flow.get('hour12')) {  // 12 hour time format\n    return dateObject.toLocaleString('en', { timezone: msg.payload.timezone, hour12: true, hour: 'numeric'}).toLowerCase();\n  } else {  // 24 hour time format\n    return dateObject.toLocaleString('en', { timezone: msg.payload.timezone, hour12: false, hour: 'numeric'}) + ':00';\n  }      \n}\n\n// prepare forecast data for CSS based ui widget\nfcdata.payload = {\n  rowtext: {\n  \tdata01: {\n      cell01: timeConvert(msg.payload.hourly[1].dt),\n      cell02: timeConvert(msg.payload.hourly[2].dt),\n      cell03: timeConvert(msg.payload.hourly[3].dt),\n      cell04: timeConvert(msg.payload.hourly[4].dt),\n      cell05: timeConvert(msg.payload.hourly[5].dt),\n      cell06: timeConvert(msg.payload.hourly[6].dt),\n      cell07: dayName(msg.payload.daily[1].dt),\n      cell08: dayName(msg.payload.daily[2].dt),\n      cell09: dayName(msg.payload.daily[3].dt),\n      cell10: dayName(msg.payload.daily[4].dt),\n  \t},\n  \tdata02: {\n       cell01: formatTemp(msg.payload.hourly[1].temp),\n       cell02: formatTemp(msg.payload.hourly[2].temp),\n       cell03: formatTemp(msg.payload.hourly[3].temp),\n       cell04: formatTemp(msg.payload.hourly[4].temp),\n       cell05: formatTemp(msg.payload.hourly[5].temp),\n       cell06: formatTemp(msg.payload.hourly[6].temp),\n       cell07: formatTemp(msg.payload.daily[1].temp.max, msg.payload.daily[0].temp.min),\n       cell08: formatTemp(msg.payload.daily[2].temp.max, msg.payload.daily[1].temp.min),\n       cell09: formatTemp(msg.payload.daily[3].temp.max, msg.payload.daily[2].temp.min),\n       cell10: formatTemp(msg.payload.daily[4].temp.max, msg.payload.daily[3].temp.min),\n  \t}\n  },\n  rowicons: {\n  \tdata01: {\n  \t\tcell01: msg.payload.hourly[1].weather[0].icon,\n  \t\tcell02: msg.payload.hourly[2].weather[0].icon,\n  \t\tcell03: msg.payload.hourly[3].weather[0].icon,\n  \t\tcell04: msg.payload.hourly[4].weather[0].icon,\n  \t\tcell05: msg.payload.hourly[5].weather[0].icon,\n  \t\tcell06: msg.payload.hourly[6].weather[0].icon,\n  \t\tcell07: msg.payload.daily[1].weather[0].icon,\n  \t\tcell08: msg.payload.daily[2].weather[0].icon,\n  \t\tcell09: msg.payload.daily[3].weather[0].icon,\n  \t\tcell10: msg.payload.daily[4].weather[0].icon,\n  \t}\n  }\n}\n\nreturn fcdata;","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":740,"y":300,"wires":[["e4b055ee.cfc6d8"]]},{"id":"ed544afc.b1ee48","type":"ui_text","z":"28bcfd3b.19e6f2","group":"6f74e51a.63121c","order":2,"width":2,"height":1,"name":"Temperature","label":"","format":"<p style=\"font-size: 200%\">{{msg.payload.current.temp}}</p>","layout":"row-left","x":970,"y":80,"wires":[]},{"id":"6eee4de8.b48ce4","type":"http request","z":"28bcfd3b.19e6f2","name":"Get OWM data","method":"GET","ret":"obj","paytoqs":"query","url":"https://api.openweathermap.org/data/2.5/onecall","tls":"","persist":false,"proxy":"","authType":"","x":500,"y":180,"wires":[["22b3ceac.d80bd2","77abf7cc.6de6f8","ea58e419.0a4b98","5846dad2.cbc124","b1a52751.5ff3a8"]]},{"id":"19a0e735.1ba2d9","type":"inject","z":"28bcfd3b.19e6f2","name":"Trigger","props":[{"p":"payload"},{"p":"topic","vt":"str"}],"repeat":"600","crontab":"","once":true,"onceDelay":"10","topic":"","payload":"true","payloadType":"bool","x":100,"y":180,"wires":[["199ef446.01e1bc"]]},{"id":"22b3ceac.d80bd2","type":"function","z":"28bcfd3b.19e6f2","name":"Format current data","func":"var icon = {};\n\nvar units = flow.get('units');\nif (units === undefined) {units = 'imperial';}\n\nfunction timeConvert(UNIX_timestamp){\n  var dateObject = new Date(UNIX_timestamp * 1000);\n  if (flow.get('hour12')) {  // 12 hour time format\n    return dateObject.toLocaleString('en', { timezone: msg.payload.timezone, hour12: true, hour: 'numeric', minute: '2-digit'}).toLowerCase();\n  } else {  // 24 hour time format\n    return dateObject.toLocaleString('en', { timezone: msg.payload.timezone, hour12: false, hour: 'numeric', minute: '2-digit'});\n  }      \n}\n\nvar degreesToCardinal = function(deg){\n  if (deg>11.25 && deg<=33.75){return \"NNE\";}\n  else if (deg>33.75 && deg<56.25){return \"NE\";}\n  else if (deg>56.25 && deg<78.75){return \"ENE\";}\n  else if (deg>78.75 && deg<101.25){return \"E\";}\n  else if (deg>101.25 && deg<123.75){return \"ESE\";}\n  else if (deg>123.75 && deg<146.25){return \"SE\";}\n  else if (deg>146.25 && deg<168.75){return \"SSE\";}\n  else if (deg>168.75 && deg<191.25){return \"S\";}\n  else if (deg>191.25 && deg<213.75){return \"SSW\";}\n  else if (deg>213.75 && deg<236.25){return \"SW\";}\n  else if (deg>236.25 && deg<258.75){return \"WSW\";}\n  else if (deg>258.75 && deg<281.25){return \"W\";}\n  else if (deg>281.25 && deg<303.75){return \"WNW\";}\n  else if (deg>303.75 && deg<326.25){return \"NW\";}\n  else if (deg>326.25 && deg<348.75){return \"NNW\";}\n  else {return \"N\";}\n}\n\nif (units == \"imperial\")\n{\n  msg.payload.current.temp = msg.payload.current.temp.toFixed() + ' °F';\n  msg.payload.current.wind_speed = msg.payload.current.wind_speed.toFixed() + ' mph';\n}\nelse  // metric units\n{\n  msg.payload.current.temp = msg.payload.current.temp.toFixed(1) + ' °C';\n  msg.payload.current.wind_speed = msg.payload.current.wind_speed.toFixed(1) + ' m/s';\n}\n\nmsg.payload.current.wind_cardinal = degreesToCardinal(msg.payload.current.wind_deg);\n\nmsg.payload.current.sunrise = timeConvert(msg.payload.current.sunrise);\nmsg.payload.current.sunset = timeConvert(msg.payload.current.sunset);\n\nvar iconString = 'wi-owm-' + msg.payload.current.weather[0].icon + ' wi-4x';\nicon = {\n    ui_control: {\n        icon: iconString\n    }\n}; \n\nreturn [msg, icon];","outputs":2,"noerr":0,"initialize":"","finalize":"","libs":[],"x":730,"y":180,"wires":[["ed544afc.b1ee48","b85f0e58.71c61","b83c417a.3516e","37bf1a70.80eb86","650345d6.6128ec"],["2c7617bd.1a8ae8"]]},{"id":"199ef446.01e1bc","type":"change","z":"28bcfd3b.19e6f2","name":"Settings","rules":[{"t":"delete","p":"payload","pt":"msg"},{"t":"set","p":"payload.lat","pt":"msg","to":"-33.786017","tot":"str"},{"t":"set","p":"payload.lon","pt":"msg","to":"151.20869","tot":"str"},{"t":"set","p":"payload.appid","pt":"msg","to":"c0b2199ee6d3d01ec10a186d2cd51322","tot":"str"},{"t":"set","p":"payload.units","pt":"msg","to":"metric","tot":"str"},{"t":"set","p":"payload.lang","pt":"msg","to":"en","tot":"str"},{"t":"set","p":"hour12","pt":"flow","to":"true","tot":"bool"},{"t":"set","p":"units","pt":"flow","to":"payload.units","tot":"msg"},{"t":"set","p":"lang","pt":"flow","to":"payload.lang","tot":"msg"},{"t":"set","p":"payload.exclude","pt":"msg","to":"minutely","tot":"str"}],"action":"","property":"","from":"","to":"","reg":false,"x":300,"y":180,"wires":[["6eee4de8.b48ce4"]]},{"id":"c446f9ff.137608","type":"ui_ui_control","z":"28bcfd3b.19e6f2","name":"Update tab","events":"all","x":70,"y":300,"wires":[["1a3f98ec.d36e37"]]},{"id":"41553b39.d95b74","type":"link out","z":"28bcfd3b.19e6f2","name":"Refresh","links":["fc1d5da1.c8a43"],"x":1095,"y":240,"wires":[]},{"id":"fc1d5da1.c8a43","type":"link in","z":"28bcfd3b.19e6f2","name":"","links":["41553b39.d95b74"],"x":135,"y":240,"wires":[["199ef446.01e1bc"]]},{"id":"1a3f98ec.d36e37","type":"switch","z":"28bcfd3b.19e6f2","name":"tab focus","property":"tab","propertyType":"msg","rules":[{"t":"eq","v":"1","vt":"num"}],"checkall":"true","repair":false,"outputs":1,"x":240,"y":300,"wires":[["199ef446.01e1bc"]]},{"id":"ea58e419.0a4b98","type":"debug","z":"28bcfd3b.19e6f2","name":"Complete OWM Msg","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"true","targetType":"full","statusVal":"","statusType":"auto","x":710,"y":120,"wires":[]},{"id":"db0c2256.fb413","type":"ui_template","z":"28bcfd3b.19e6f2","group":"ccee7d87.dcd8b","name":"OpenWeather Cloud Cover","order":3,"width":"30","height":"3","format":"<h3>OpenWeather Forecast Cloud Cover by Hour</h3>\n<table class=\"clouds-widget__table\">\n    <tr>\n        <td ng-repeat=\"item in msg.payload.items\">{{ item.time }}</td>\n    </tr>\n    <tr>\n        <td ng-repeat=\"item in msg.payload.items\">\n            <div \n                class=\"clouds-widget__indicator\"\n                ng-class=\"{\n                    green: item.clouds <= 10,\n                    yellow: item.clouds > 10 && item.clouds <= 30,\n                    red: item.clouds > 30 && item.clouds <= 50,\n                    purple: item.clouds > 50\n                }\"\n                ></div>\n        </td>\n    </tr>\n    <tr>\n       <td ng-repeat=\"item in msg.payload.items\">\n           {{ item.clouds }}\n           <div ng-if=\"item.isNight\">DARK</div>\n       </td>\n    </tr>\n</table>\n\n<style>\n    .clouds-widget__table td {\n        text-align: center;\n    }\n    .clouds-widget__indicator {\n        width: 30px;\n        height: 30px;\n        border-radius: 100%;\n        margin: auto;\n    }\n    .clouds-widget__indicator.green{\n        background: green;\n    }\n    .clouds-widget__indicator.yellow{\n        background: yellow;\n    }\n    .clouds-widget__indicator.red{\n        background: red;\n    }\n    .clouds-widget__indicator.purple{\n        background: purple;\n    }\n</style>","storeOutMessages":true,"fwdInMessages":true,"resendOnRefresh":true,"templateScope":"local","x":540,"y":560,"wires":[[]]},{"id":"5846dad2.cbc124","type":"function","z":"28bcfd3b.19e6f2","name":"Setup Electricity Dashboard ","func":"let items = msg.payload.hourly;\n\nlet sunsetSunriseInfo = msg.payload.daily.map((item) => {\n    let fromTime = moment.unix(item.dt).subtract(12, \"hour\")\n    return {\n        fromTime: fromTime.clone().tz(\"UTC\"),\n        toTime: fromTime.clone().add(24, \"hour\").subtract(1, \"second\").tz(\"UTC\"),\n        sunrise: moment.unix(item.sunrise).tz(\"UTC\"),\n        sunset: moment.unix(item.sunset).tz(\"UTC\")\n    }\n})\n\nconst isNightTime = (time) => {\n    let info = sunsetSunriseInfo.find((item) => {\n        return time.isSameOrAfter(item.fromTime) && time.isSameOrBefore(item.toTime)\n    })\n    const isDay = time.isSameOrAfter(info.sunrise) && time.isBefore(info.sunset)\n    return !isDay;\n}\n\nlet filterStartTime = moment.utc();\nlet filterEndTime = filterStartTime.clone().add(16, 'hour')\n\nitems = items.filter((item) => {\n    const time = moment.unix(item.dt);\n    return time.isSameOrAfter(filterStartTime) && \n    time.isSameOrBefore(filterEndTime)\n});\n\nitems = items.map((item) => {\n    const time = moment.unix(item.dt).tz(\"UTC\");\n    return {\n        time: time.clone().tz('Australia/Sydney').format('HH:mm'),\n        clouds: item.clouds,\n        isNight: isNightTime(time)\n    }\n})\n\nmsg.payload = {\n    items: items\n};\n\nreturn msg;","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[{"var":"moment","module":"moment-timezone"}],"x":340,"y":500,"wires":[["db0c2256.fb413","14628d2f.3c05a3"]]},{"id":"14628d2f.3c05a3","type":"debug","z":"28bcfd3b.19e6f2","name":"","active":true,"tosidebar":true,"console":false,"tostatus":false,"complete":"false","statusVal":"","statusType":"auto","x":500,"y":440,"wires":[]},{"id":"d4f6a83.c8e7658","type":"ui_template","z":"28bcfd3b.19e6f2","group":"ccee7d87.dcd8b","name":"Forecast on Electricity Panel","order":7,"width":"24","height":2,"format":"<div style=\"height: 100%; justify-content: center; align-items: center;\">\n <div layout=\"rowicons\" layout-align=\"space-around start\" ng-repeat=\"data in msg.payload.rowicons\" style=\"font-size:150%;padding-top: 5px;padding-bottom: 5px\">\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell01}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell02}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell03}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell04}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell05}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell06}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell07}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell08}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell09}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell10}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell11}}\"></i></span>\n  <span flex style=\"color: white;text-align: center\"><i class=\"wi wi-owm-{{data.cell12}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell13}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell14}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell15}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell16}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell17}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell18}}\"></i></span>\n  <span flex style=\"color: #097479;text-align: center\"><i class=\"wi wi-owm-{{data.cell19}}\"></i></span>\n  \n </div>\n <div layout=\"rowtext\" layout-align=\"space-around start\" ng-repeat=\"data in msg.payload.rowtext\" style=\"line-height: 150%\">\n  <span flex style=\"color: white;text-align: center\">{{data.cell01}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell02}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell03}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell04}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell05}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell06}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell07}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell08}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell09}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell10}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell11}}</span>\n  <span flex style=\"color: white;text-align: center\">{{data.cell12}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell13}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell14}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell15}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell16}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell17}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell18}}</span>\n  <span flex style=\"color: #097479;text-align: center\">{{data.cell19}}</span>\n  \n </div>\n</div>","storeOutMessages":true,"fwdInMessages":true,"resendOnRefresh":false,"templateScope":"local","x":1080,"y":440,"wires":[[]]},{"id":"b1a52751.5ff3a8","type":"function","z":"28bcfd3b.19e6f2","name":"Format forecast data - Extra Days","func":"var fc1data = {};\nvar units=flow.get('units');\nif (units===undefined)\n{\n  units=\"imperial\";\n}\n\nfunction formatTemp(high, low){\n    if (units == \"imperial\") {\n        if (low){\n          temp = parseFloat(high).toFixed() + '/' + parseFloat(low).toFixed()\n        }\n        else {\n          temp = parseFloat(high).toFixed() + '°F'\n        }\n    }\n    else { // metric\n        if (low){\n          temp = parseFloat(high).toFixed() + '/' + parseFloat(low).toFixed()\n        }\n        else {\n          temp = parseFloat(high).toFixed() + '°C'\n        }\n    }\n    return temp;\n}\n\nfunction dayName(unixTime){\n  var dateObject = new Date(unixTime * 1000);\n  return dateObject.toLocaleString(flow.get('lang'), { timezone: msg.payload.timezone, weekday: 'short'});\n }\n\nfunction timeConvert(UNIX_timestamp){\n  var dateObject = new Date(UNIX_timestamp * 1000);\n  if (flow.get('hour12')) {  // 12 hour time format\n    return dateObject.toLocaleString('en', { timezone: msg.payload.timezone, hour12: true, hour: 'numeric'}).toLowerCase();\n  } else {  // 24 hour time format\n    return dateObject.toLocaleString('en', { timezone: msg.payload.timezone, hour12: false, hour: 'numeric'}) + ':00';\n  }      \n}\n\n// prepare forecast data for CSS based ui widget\nfc1data.payload = {\n  rowtext: {\n  \tdata01: {\n      cell01: timeConvert(msg.payload.hourly[1].dt),\n      cell02: timeConvert(msg.payload.hourly[2].dt),\n      cell03: timeConvert(msg.payload.hourly[3].dt),\n      cell04: timeConvert(msg.payload.hourly[4].dt),\n      cell05: timeConvert(msg.payload.hourly[5].dt),\n      cell06: timeConvert(msg.payload.hourly[6].dt),\n      cell07: timeConvert(msg.payload.hourly[7].dt),\n      cell08: timeConvert(msg.payload.hourly[8].dt),\n      cell09: timeConvert(msg.payload.hourly[9].dt),\n      cell10: timeConvert(msg.payload.hourly[10].dt),\n      cell11: timeConvert(msg.payload.hourly[11].dt),\n      cell12: timeConvert(msg.payload.hourly[12].dt),\n      cell13: dayName(msg.payload.daily[1].dt),\n      cell14: dayName(msg.payload.daily[2].dt),\n      cell15: dayName(msg.payload.daily[3].dt),\n      cell16: dayName(msg.payload.daily[4].dt),\n      cell17: dayName(msg.payload.daily[5].dt),\n      cell18: dayName(msg.payload.daily[6].dt),\n      cell19: dayName(msg.payload.daily[7].dt),\n      \n  \t},\n  \tdata02: {\n       cell01: formatTemp(msg.payload.hourly[1].temp),\n       cell02: formatTemp(msg.payload.hourly[2].temp),\n       cell03: formatTemp(msg.payload.hourly[3].temp),\n       cell04: formatTemp(msg.payload.hourly[4].temp),\n       cell05: formatTemp(msg.payload.hourly[5].temp),\n       cell06: formatTemp(msg.payload.hourly[6].temp),\n       cell07: formatTemp(msg.payload.hourly[7].temp),\n       cell08: formatTemp(msg.payload.hourly[8].temp),\n       cell09: formatTemp(msg.payload.hourly[9].temp),\n       cell10: formatTemp(msg.payload.hourly[10].temp),\n       cell11: formatTemp(msg.payload.hourly[11].temp),\n       cell12: formatTemp(msg.payload.hourly[12].temp),\n       cell13: formatTemp(msg.payload.daily[1].temp.max, msg.payload.daily[0].temp.min),\n       cell14: formatTemp(msg.payload.daily[2].temp.max, msg.payload.daily[1].temp.min),\n       cell15: formatTemp(msg.payload.daily[3].temp.max, msg.payload.daily[2].temp.min),\n       cell16: formatTemp(msg.payload.daily[4].temp.max, msg.payload.daily[3].temp.min),\n       cell17: formatTemp(msg.payload.daily[5].temp.max, msg.payload.daily[4].temp.min),\n       cell18: formatTemp(msg.payload.daily[6].temp.max, msg.payload.daily[5].temp.min),\n       cell19: formatTemp(msg.payload.daily[7].temp.max, msg.payload.daily[6].temp.min),\n       \n  \t}\n  },\n  rowicons: {\n  \tdata01: {\n  \t\tcell01: msg.payload.hourly[1].weather[0].icon,\n  \t\tcell02: msg.payload.hourly[2].weather[0].icon,\n  \t\tcell03: msg.payload.hourly[3].weather[0].icon,\n  \t\tcell04: msg.payload.hourly[4].weather[0].icon,\n  \t\tcell05: msg.payload.hourly[5].weather[0].icon,\n  \t\tcell06: msg.payload.hourly[6].weather[0].icon,\n  \t\tcell07: msg.payload.hourly[7].weather[0].icon,\n  \t\tcell08: msg.payload.hourly[8].weather[0].icon,\n  \t\tcell09: msg.payload.hourly[9].weather[0].icon,\n  \t\tcell10: msg.payload.hourly[10].weather[0].icon,\n  \t\tcell11: msg.payload.hourly[11].weather[0].icon,\n  \t\tcell12: msg.payload.hourly[12].weather[0].icon,\n  \t\tcell13: msg.payload.daily[1].weather[0].icon,\n  \t\tcell14: msg.payload.daily[2].weather[0].icon,\n  \t\tcell15: msg.payload.daily[3].weather[0].icon,\n  \t\tcell16: msg.payload.daily[4].weather[0].icon,\n  \t\tcell17: msg.payload.daily[5].weather[0].icon,\n  \t\tcell18: msg.payload.daily[6].weather[0].icon,\n  \t\tcell19: msg.payload.daily[7].weather[0].icon,\n  \t    \n  \t}\n  }\n}\n\nreturn fc1data;","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":780,"y":440,"wires":[["d4f6a83.c8e7658"]]},{"id":"6f74e51a.63121c","type":"ui_group","name":"MainGroup","tab":"dae91324.3a99d","order":1,"disp":false,"width":10,"collapse":false},{"id":"ccee7d87.dcd8b","type":"ui_group","name":"Default","tab":"3c82250e.dc28ea","order":1,"disp":false,"width":"30","collapse":false},{"id":"dae91324.3a99d","type":"ui_tab","name":"Weather","icon":"fa-thermometer-half","order":3,"disabled":false,"hidden":false},{"id":"3c82250e.dc28ea","type":"ui_tab","name":"Electricity Prices","icon":"dashboard","disabled":false,"hidden":false}]

You will see that i use some of the same concepts you are asking about in terms of extracting info from the arrays that are returned from the OWM API

and a couple of screenshots

image
image1657×299 23.8 KB

image
image715×256 15.1 KB

Craig

3 Likes
16

@craigcurtin

Thanks for the copy of your flow, nice approach with all icons. I'm trying to stay away from icons and just use graphs and text but the idea looks very neat.

I have been puzzling over the data for "moon_phase" which at present is 0.18. What does that mean? I don't really need the data for moon_phase it just interests me what the 0.18 means and how I get it to something meaningful, illumination as a percentage would be nice. My watch tells me 'Lunar cycle Day 6' and 'Illumination 34.5%'.

17

According to the openweathermap API documentation:

0                  is new moon
0 to 0.25      is waxing crescent
0.25             is first quarter moon
0.25 to 0.5   is waxing gibbous
0.5               is full moon
0.5 to 0.75   is waning gibbous
0.75             is last quarter moon
0.75 to 1      is waning crescent
1                  is new moon

So 0.18 is a waxing crescent moon

18

@jbudd thanks, I had seen that, it didn't seem very interesting to me and hence I was looking for a similar output to my watch.

I had found a calculation that involved Cos to calculate the illumination but I didn't get the answer I expected. Probably a bit beyond me.

19

So what was the calculation you found?

Do you want to show the percentage of the illuminated side that is visible, atmosphere permitting, or the brightness as a percentage of the full moon's?

It looks, superficially, as if owm's scale is linear so you can get the days of the lunar cycle by multiplying by 28. Brightness won't be linear.

1 Like
20

@jbudd The calculation is towards the bottom of this page and starts 0.5cos .
I was just trying to understand what the moon_phase from openweathermap meant. Today it was 0.21. My watch says Illumination is 40% and the lunar cycle is day 7.