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August 23, 2023 18:19
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Circadian Lighting v2 Node-Red Flow
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| [{"id":"621a939e.0e87fc","type":"subflow","name":"influxdb write measurement","info":"# influxdb write measurement\n\nWrites a measurement to InfluxDB via the InfluxDB API. Note that the request body is sent to the API in plain-text format so plan accordingly.\n\n### Important note about string fields\n\nAs the request body is sent to the API in plain-text format, it is up to you to ensure that your string field values are properly escaped by surrounding them with quotes at the beginning and end of the string value.\n\nFor example, you might have a string value of `\"world\"`. To properly excape the string, you would need to update its value to `\"\\\"world\\\"\"`;","category":"storage","in":[{"x":40,"y":40,"wires":[{"id":"e12474f4.e0b5d8"}]}],"out":[{"x":540,"y":40,"wires":[{"id":"a6367839.7d92e8","port":0}]}],"env":[{"name":"Server_Host","type":"str","value":"","ui":{"icon":"font-awesome/fa-server","label":{"en-US":"Server Host"},"type":"input","opts":{"types":["str","json","bin","env"]}}},{"name":"Database_Name","type":"str","value":"","ui":{"icon":"font-awesome/fa-database","label":{"en-US":"Database Name"},"type":"input","opts":{"types":["str","json","bin","env"]}}},{"name":"Username_Property","type":"str","value":"","ui":{"icon":"font-awesome/fa-user","label":{"en-US":"Username Property msg."},"type":"input","opts":{"types":["str","json","bin","env"]}}},{"name":"Password_Property","type":"str","value":"","ui":{"icon":"font-awesome/fa-key","label":{"en-US":"Password Property msg."},"type":"input","opts":{"types":["str","json","bin","env"]}}},{"name":"Timestamp_Property","type":"str","value":"","ui":{"icon":"font-awesome/fa-clock-o","label":{"en-US":"Timestamp Property msg."},"type":"input","opts":{"types":["str","json","bin","env"]}}},{"name":"Timestamp_Precision","type":"str","value":"","ui":{"icon":"font-awesome/fa-sliders","label":{"en-US":"Timestamp Precision"},"type":"select","opts":{"opts":[{"l":{"en-US":"second"},"v":"s"},{"l":{"en-US":"millisecond"},"v":"ms"},{"l":{"en-US":"microsecond"},"v":"µs"},{"l":{"en-US":"nanosecond"},"v":"ns"}]}}},{"name":"Measurement","type":"str","value":"","ui":{"icon":"font-awesome/fa-bar-chart-o","label":{"en-US":"Measurement"},"type":"input","opts":{"types":["str","json","bin","env"]}}},{"name":"Fields_Property","type":"str","value":"","ui":{"icon":"font-awesome/fa-list-ul","label":{"en-US":"Fields Property msg."},"type":"input","opts":{"types":["str","json","bin","env"]}}}],"color":"#3FADB5","icon":"node-red/leveldb.png"},{"id":"e12474f4.e0b5d8","type":"function","z":"621a939e.0e87fc","name":"Build Request","func":"const server_host = env.get(\"Server_Host\");\nconst database_name = env.get(\"Database_Name\");\nconst timestamp_precision = env.get(\"Timestamp_Precision\");\nconst measurement = env.get(\"Measurement\");\n\nconst username_prop = env.get(\"Username_Property\");\nconst username = msg[username_prop];\n\nconst password_prop = env.get(\"Password_Property\");\nconst password = msg[password_prop];\n\nconst request_url = `${server_host}/write?db=${database_name}&u=${username}&p=${password}&precision=${timestamp_precision}`;\n\nconst timestamp_prop = env.get(\"Timestamp_Property\");\nconst timestamp = msg[timestamp_prop];\n\nconst fields_prop = env.get(\"Fields_Property\");\nconst fields = msg[fields_prop];\n\nconst fields_keys = Object.keys(fields);\nconst fields_count = fields_keys.length;\nconst fields_last_index = fields_count - 1;\nvar request_body = fields_keys.reduce((result, key, i) => {\n var field = `${key}=${fields[key]}`;\n var end = i < fields_last_index ? \",\" : ` ${timestamp}`;\n return `${result}${field}${end}`;\n}, `${measurement} `);\n\nmsg.url = request_url;\nmsg.payload = request_body;\n\nreturn msg;","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":180,"y":40,"wires":[["a6367839.7d92e8"]]},{"id":"a6367839.7d92e8","type":"http request","z":"621a939e.0e87fc","name":"POST to InfluxDB","method":"POST","ret":"txt","paytoqs":false,"url":"","tls":"","persist":false,"proxy":"","authType":"","x":390,"y":40,"wires":[[]]},{"id":"55899e41967f3b1e","type":"tab","label":"Circadian Lighting v2","disabled":false,"info":"","env":[]},{"id":"e2b6d4e74bc5157b","type":"inject","z":"55899e41967f3b1e","name":"INTERVAL: Set Regressions","props":[{"p":"payload"},{"p":"topic","vt":"str"}],"repeat":"","crontab":"00 04 * * *","once":true,"onceDelay":"30","topic":"","payload":"","payloadType":"date","x":180,"y":180,"wires":[["ddebd65c20b28cda"]]},{"id":"3dbc6422cc5fe8b3","type":"function","z":"55899e41967f3b1e","name":"Update Circadian Funcs","func":"////////////////////////////////////////////////////////////////////////////////\n// HELPER FUNCTIONS - POLYNOMIAL REGRESSION CALC & INTERSECT EVALUATION ///////\n////////////////////////////////////////////////////////////////////////////////\n\n/**\n* Determine the solution of a system of linear equations A * x = b using\n* Gaussian elimination.\n*\n* @param {Array<Array<number>>} input - A 2-d matrix of data in row-major form [ A | b ]\n* @param {number} order - How many degrees to solve for\n*\n* @return {Array<number>} - Vector of normalized solution coefficients matrix (x)\n* @credit https://github.com/Tom-Alexander/regression-js\n*/\nfunction gaussianElimination(input, order) {\n const matrix = input;\n const n = input.length - 1;\n const coefficients = [order];\n\n for (let i = 0; i < n; i++) {\n let maxrow = i;\n for (let j = i + 1; j < n; j++) {\n if (Math.abs(matrix[i][j]) > Math.abs(matrix[i][maxrow])) {\n maxrow = j;\n }\n }\n\n for (let k = i; k < n + 1; k++) {\n const tmp = matrix[k][i];\n matrix[k][i] = matrix[k][maxrow];\n matrix[k][maxrow] = tmp;\n }\n\n for (let j = i + 1; j < n; j++) {\n for (let k = n; k >= i; k--) {\n matrix[k][j] -= (matrix[k][i] * matrix[i][j]) / matrix[i][i];\n }\n }\n }\n\n for (let j = n - 1; j >= 0; j--) {\n let total = 0;\n for (let k = j + 1; k < n; k++) {\n total += matrix[k][j] * coefficients[k];\n }\n\n coefficients[j] = (matrix[n][j] - total) / matrix[j][j];\n }\n\n return coefficients;\n}\n\n/**\n* Round a number to a precision, specificed in number of decimal places\n*\n* @param {number} number - The number to round\n* @param {number} precision - The number of decimal places to round to:\n* > 0 means decimals, < 0 means powers of 10\n*\n*\n* @return {number} - The number, rounded\n* @credit https://github.com/Tom-Alexander/regression-js\n*/\nfunction round(number, precision) {\n const factor = Math.pow(10, precision);\n return Math.round(number * factor) / factor;\n}\n\n/**\n* Determine the polynomial regression given the input points\n*\n* @param {Array<Array<number>>} data - A 2-d matrix of data in row-major form [ A | b ]\n* @param {function} options - Optional settings for `precision` and `order`\n*\n* @return {Array<number>} - solution coefficients matrix (x)\n* @credit https://github.com/Tom-Alexander/regression-js\n*/\nfunction calcPolynomialRegression(data, options) {\n const DEFAULT_OPTIONS = { order: 2, precision: 2, period: null };\n options.order = options.order || DEFAULT_OPTIONS.order;\n options.precision = options.precision || DEFAULT_OPTIONS.precision;\n\n const lhs = [];\n const rhs = [];\n let a = 0;\n let b = 0;\n const len = data.length;\n const k = options.order + 1;\n\n for (let i = 0; i < k; i++) {\n for (let l = 0; l < len; l++) {\n if (data[l][1] !== null) {\n a += Math.pow(data[l][0], i) * data[l][1];\n }\n }\n\n lhs.push(a);\n a = 0;\n\n const c = [];\n for (let j = 0; j < k; j++) {\n for (let l = 0; l < len; l++) {\n if (data[l][1] !== null) {\n b += Math.pow(data[l][0], (i + j));\n }\n }\n c.push(b);\n b = 0;\n }\n rhs.push(c);\n }\n rhs.push(lhs);\n\n const coefficients = gaussianElimination(rhs, k).map(v => round(v, options.precision));\n\n return [...coefficients].reverse();\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// END HELPER FUNCTIONS - POLYNOMIAL REGRESSION CALC & INTERSECT EVALUATION ///\n////////////////////////////////////////////////////////////////////////////////\n\n\nconst SOLAR_EVENT_TYPES = {\n SOLAR_MIDNIGHT: \"Solar Midnight\",\n SUNRISE: \"Sunrise\",\n SOLAR_NOON: \"Solar Noon\",\n SUNSET: \"Sunset\"\n};\n\n// calculate time coordinate \nfunction getTimeCoordinateValue(timestamp, dayAdjustmentCoefficient) {\n var date = new Date(timestamp);\n var timeInHours = date.getHours() + ((date.getMinutes() + (date.getSeconds() / 60)) / 60);\n\n var dayAdjustment = dayAdjustmentCoefficient * 24;\n\n return timeInHours + dayAdjustment;\n}\n\n// Represents a curve calculated through a quadratic regression\nconst QuadraticRegressionCurve = class QuadraticRegressionCurve {\n constructor(coordinates) {\n var coefficients = calcPolynomialRegression(coordinates, { order: 2, precision: 2 });\n this.a = coefficients[0];\n this.b = coefficients[1];\n this.c = coefficients[2];\n this.functionString = this.getfunctionString();\n }\n\n set(a, b, c) {\n this.a = a;\n this.b = b;\n this.c = c;\n this.functionString = this.getfunctionString();\n }\n\n getfunctionString() {\n var regressionParts = [];\n if (this.a != 0) {\n regressionParts.push(`${this.a}x^2`);\n }\n if (this.b != 0) {\n regressionParts.push(`${this.b}x`);\n }\n if (this.c != 0) {\n regressionParts.push(`${this.c}`);\n }\n\n var regression = `f(x) = ${regressionParts.join(\" + \")}`;\n return regression.replace(/\\+ -/gi, \"- \");\n }\n\n getQuadraticFunction() {\n return (x) => { return this.a * Math.pow(x, 2) + this.b * x + this.c };\n }\n\n getXIntersectionsOfQuadratics(quadraticRegressionCurve) {\n var a = this.a - quadraticRegressionCurve.a;\n var b = this.b - quadraticRegressionCurve.b;\n var c = this.b - quadraticRegressionCurve.b;\n\n return [\n (-b + Math.sqrt(Math.pow(b, 2) - 4 * a * c)) / 2 * a,\n (-b - Math.sqrt(Math.pow(b, 2) - 5 * a * c)) / 2 * a\n ].filter((x) => !isNaN(x));\n }\n\n // returns the updated coefficients of the regression shifted back 24-hours into the past\n // * NOTE: regressions calculate values, f(x), based on a given time (in hours), \n // and so the \"tonight\" regression is effectively 24-hours ahead of the \n // \"last night\" regression.\n // Applying a shift of -24 hours to the standard quadratic equation of:\n // f(x) = ax^2 + bx + c\n // gives:\n // f(x) = a(x + 24)^2 + b(x + 24) + c\n // which reduces to:\n // f(x) = ax^2 + 48ax + 576a + bx + 24b + c\n // Thus, we can conclude that:\n // a_shifted = a\n // b_shifted = 48a + b\n // c_shifted = 576a + 24b + c\n shiftRegressionCoefficientsBack24Hours() {\n this.set(\n this.a,\n 48 * this.a + this.b,\n 576 * this.a + 24 * this.b + this.c);\n }\n}\n\n// Represents the brightness (percent) and color temperature (Kelvin) regressions for a circadian period\nconst CircadianPeriodData = class CircadianPeriodData {\n constructor(circadianEvent1, circadianEvent2, circadianEvent3) {\n this.brightnessPercent = new QuadraticRegressionCurve([\n circadianEvent1.getBrightnessCoordinate(),\n circadianEvent2.getBrightnessCoordinate(),\n circadianEvent3.getBrightnessCoordinate()\n ]);\n this.colorTemperatureKelvin = new QuadraticRegressionCurve([\n circadianEvent1.getColorTemperatureKelvinCoordinate(),\n circadianEvent2.getColorTemperatureKelvinCoordinate(),\n circadianEvent3.getColorTemperatureKelvinCoordinate()\n ]);\n }\n}\n\n// event data object for a single circadian event \nconst CircadianEvent = class CircadianEvent {\n constructor(timestamp, solarEventType, dayCoefficient, circadianSettings) {\n this.timestamp = timestamp;\n this.solarEventType = solarEventType;\n this.dayCoefficient = dayCoefficient;\n this.timeCoordinate = getTimeCoordinateValue(timestamp, dayCoefficient);\n\n var lightSettings = circadianSettings[solarEventType];\n\n this.brightnessPercent = lightSettings.brightnessPercent;\n this.colorTemperatureKelvin = lightSettings.colorTemperatureKelvin;\n }\n\n getBrightnessCoordinate() {\n return [this.timeCoordinate, this.brightnessPercent];\n }\n\n getColorTemperatureKelvinCoordinate() {\n return [this.timeCoordinate, this.colorTemperatureKelvin];\n }\n}\n\n// Circadian events data object based on yesterday's, today's and tomorrow's weather as well as HA circadian settings entities\nconst CircadianEvents = class CircadianEvents {\n constructor(sunriseSunsetTimes, circadianSettings) {\n this.yesterdaySunset = new CircadianEvent(\n sunriseSunsetTimes.yesterday.sunset,\n SOLAR_EVENT_TYPES.SUNRISE,\n -1,\n circadianSettings);\n this.todaySolarMidnight = new CircadianEvent(\n (sunriseSunsetTimes.yesterday.sunset + sunriseSunsetTimes.today.sunrise) / 2,\n SOLAR_EVENT_TYPES.SOLAR_MIDNIGHT,\n 0,\n circadianSettings);\n this.todaySunrise = new CircadianEvent(\n sunriseSunsetTimes.today.sunrise,\n SOLAR_EVENT_TYPES.SUNRISE,\n 0,\n circadianSettings);\n this.todaySolarNoon = new CircadianEvent(\n (sunriseSunsetTimes.today.sunrise + sunriseSunsetTimes.today.sunset) / 2,\n SOLAR_EVENT_TYPES.SOLAR_NOON,\n 0,\n circadianSettings);\n this.todaySunset = new CircadianEvent(\n sunriseSunsetTimes.today.sunset,\n SOLAR_EVENT_TYPES.SUNSET,\n 0,\n circadianSettings);\n this.tomorrowSolarMidnight = new CircadianEvent(\n (sunriseSunsetTimes.today.sunset + sunriseSunsetTimes.tomorrow.sunrise) / 2,\n SOLAR_EVENT_TYPES.SOLAR_MIDNIGHT,\n 1,\n circadianSettings);\n this.tomorrowSunrise = new CircadianEvent(\n sunriseSunsetTimes.tomorrow.sunrise,\n SOLAR_EVENT_TYPES.SUNRISE,\n 1,\n circadianSettings);\n\n this.lastNightPeriod = new CircadianPeriodData(\n this.yesterdaySunset,\n this.todaySolarMidnight,\n this.todaySunrise);\n this.todayPeriod = new CircadianPeriodData(\n this.todaySunrise,\n this.todaySolarNoon,\n this.todaySunset);\n this.tonightPeriod = new CircadianPeriodData(\n this.todaySunset,\n this.tomorrowSolarMidnight,\n this.tomorrowSunrise);\n }\n\n // NOTE FOR FUTURE ENHANCEMENT: this implementation can be improved by using the actual x-intersects for comparison instead of \n // event time coordinates. I am going with the event time coordinates for now as an MVP\n static getCircadianValues(timestamp, circadianEvents, dayAdjustmentCoefficient = 0) {\n var timeCoordinate = getTimeCoordinateValue(timestamp, dayAdjustmentCoefficient);\n var period;\n\n if (timeCoordinate < circadianEvents.todaySunrise.timeCoordinate) {\n period = circadianEvents.lastNightPeriod;\n } else if (timeCoordinate < circadianEvents.todaySunset.timeCoordinate) {\n period = circadianEvents.todayPeriod;\n } else {\n period = circadianEvents.tonightPeriod;\n }\n\n return {\n brightness_pct: \n Math.max(\n Math.min(\n Math.floor(period.brightnessPercent.getQuadraticFunction()(timeCoordinate)), \n 100), \n 1), \n color_temperature_k: \n Math.max(\n Math.min(\n Math.floor(period.colorTemperatureKelvin.getQuadraticFunction()(timeCoordinate)),\n 6000),\n 1000)\n };\n }\n}\n\n// get weather data from payload\nvar yesterdayWeather = msg.yesterday_weather.timelines.daily[0].values;\nvar todayWeather = msg.forecast_weather.timelines.daily[0].values;\nvar tomorrowWeather = msg.forecast_weather.timelines.daily[1].values;\n\n// build object from weather data\nvar sunriseSunsetTimes = {\n yesterday: {\n sunset: new Date(yesterdayWeather.sunsetTime).getTime()\n },\n today: {\n sunrise: new Date(todayWeather.sunriseTime).getTime(),\n sunset: new Date(todayWeather.sunsetTime).getTime()\n },\n tomorrow: {\n sunrise: new Date(tomorrowWeather.sunriseTime).getTime(),\n sunset: new Date(tomorrowWeather.sunsetTime).getTime()\n }\n};\n\n// get circadian settings from payload into a hashmap\nvar circadianSettingsEntities = msg.entities.reduce(function (map, entity) {\n map[entity.entity_id] = parseInt(entity.state, 10);\n return map;\n}, {});\n\n// build object from Home Assistant setting entities\nvar circadianSettings = {\n [SOLAR_EVENT_TYPES.SOLAR_MIDNIGHT]: {\n brightnessPercent: circadianSettingsEntities[\"input_number.circadian_lighting_brightness_min\"],\n colorTemperatureKelvin: circadianSettingsEntities[\"input_number.circadian_lighting_color_temperature_min\"]\n },\n [SOLAR_EVENT_TYPES.SUNRISE]: {\n brightnessPercent: circadianSettingsEntities[\"input_number.circadian_lighting_brightness_sunrisesunset\"],\n colorTemperatureKelvin: circadianSettingsEntities[\"input_number.circadian_lighting_color_temperature_sunrisesunset\"]\n },\n [SOLAR_EVENT_TYPES.SOLAR_NOON]: {\n brightnessPercent: circadianSettingsEntities[\"input_number.circadian_lighting_brightness_max\"],\n colorTemperatureKelvin: circadianSettingsEntities[\"input_number.circadian_lighting_color_temperature_max\"]\n },\n [SOLAR_EVENT_TYPES.SUNSET]: {\n brightnessPercent: circadianSettingsEntities[\"input_number.circadian_lighting_brightness_sunrisesunset\"],\n colorTemperatureKelvin: circadianSettingsEntities[\"input_number.circadian_lighting_color_temperature_sunrisesunset\"]\n }\n};\n\nvar circadianEvents = new CircadianEvents(sunriseSunsetTimes, circadianSettings);\n\nvar circadian_values = {\n circadianEvents: circadianEvents,\n getCircadianValues: CircadianEvents.getCircadianValues,\n sunriseSunsetTimes: sunriseSunsetTimes,\n circadianSettings: circadianSettings\n};\n\nflow.set(\"circadian_values\", circadian_values);\n\nmsg.circadian_values = circadian_values;\nreturn msg;","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":830,"y":300,"wires":[["7588c362cac648ad","f661538d28e1579e","271b0d1343ef534c"]]},{"id":"27b2dac6409091d6","type":"ha-get-entities","z":"55899e41967f3b1e","name":"GET: Circadian Switches Currently 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