Please Note This forum exists for community support for the Mango product family and the Radix IoT Platform. Although Radix IoT employees participate in this forum from time to time, there is no guarantee of a response to anything posted here, nor can Radix IoT, LLC guarantee the accuracy of any information expressed or conveyed. Specific project questions from customers with active support contracts are asked to send requests to support@radixiot.com.
how to handle missing datapoints
-
I recreated the point from scratch and it started working. I do not know what the difference could have been. all other working points in this DS had the same import template curious? must be something.
-
"must be something" if you really think so you can provide me the template's JSON and the JSON for the non-functioning meta point and I'll try to see
-
Great suggestion............ I compared the two jsons and every 11th point had the updates context set off ... Thanks for the great tips..
-
Phil, I tried the code you provided and this part of the script returns the values array with 0 length {} even though I see hundreds of pointvalues on this context point between these dates. Anything obvious?
.var periodBegin = new Date(2017, 4, 1).getTime();
var periodEnd = new Date(2017, 4, 14).getTime();
var values = p.pointValuesBetween( periodBegin, periodEnd );This is a printout of the result:
0
{
value: 228.5,
time: 1492146208215,
millis: 215,
second: 28,
minute: 3,
hour: 1,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(228.5@2017/04/14 01:03:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}This is the context point stats for the past 15 days:
Statistics (as of 2017/04/14 01:59:14) Time period: 15
Get statistics
Start: 2017/03/30 23:00
End: 2017/04/14 01:59
Minimum: 23.00 L @ Mar 30 23:00
Maximum: 228.50 L @ Apr 13 14:05
Average: 107.36 L
Integral: 131019642.6 L·s
Sum: 1470286.00 L
Log entries: 15264 -
It's probably because I spaced on months being indexed to 0, so 4 is May instead of April. Day of the month is indexed to 1, though, so I guess you're looking for new Date(2017, 3, 1) and new Date(2017, 3, 14)
-
OK yes that was it
Great I have it inserting 5000 points for one point history now Id like to get this working..
For(i=1;i<73;i++){....
eval('var values = p'+i+'.pointValuesBetween( periodBegin, periodEnd )');eval('p'+i+'.set((val1.value + (val2.value - val1.value) * (newDataTime - val1.time) / (val2.time - val1.time)), newDataTime )');
It complains of error
Any ideas.. -
Capital F in for?
I guess you're in the state where the script doesn't output the error message? Sometimes clearing your cache and refreshing can relieve that.
-
Hi Phil .. almost done with this issue.. using var x = eval('p'+i) I can assign x = p1 thru p9 but for some reason it won't assign p10 or higher to x generates an error Any ideas why?
if (!INTERPOLATE_FLAG.value===true){
var DatapointsAdded = 0;
var LongestSpan = 0;
var minimumDataInterval = 60000; //60 seconds
var periodBegin = new Date(2017, 2, 1).getTime(); //You probably wish to set these ranges
var periodEnd = new Date(2017, 3, 14).getTime();INTERPOLATE_FLAG.set(false,periodEnd);for (var i = 1; i<9; i++){
var x = eval('p'+i);
print(x);
var values = x.pointValuesSince(periodBegin);
for(var k = 0; k < values.length-1; k+=1) {
var CurrentSpan =0;
var val1 = values[k];
var val2 = values[k+1];
if( val2.time - val1.time > minimumDataInterval ) {
var newDataTime = val1.time + minimumDataInterval;
while( newDataTime < val2.time ) {
x.set((val1.value + (val2.value - val1.value) * (newDataTime - val1.time) / (val2.time - val1.time)), newDataTime );
DatapointsAdded += 1;
CurrentSpan += 1;
if (CurrentSpan > LongestSpan){
LongestSpan = CurrentSpan;
}
}
}
}
}Datapoints_Added.set(DatapointsAdded,periodEnd); Longest_Span.set(LongestSpan,periodEnd);}
RESULTS:Setting point START INTERPOLATION to false @14/04/2017 00:00:00
{
value: 228.5,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(228.5@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 48.0,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(48.0@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 1401.0,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(1401.0@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 821.5,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(821.5@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 836.5,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(836.5@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 250.5,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(250.5@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 1005.5,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(1005.5@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}{
value: 0.0,
time: 1492189828215,
millis: 215,
second: 28,
minute: 10,
hour: 13,
day: 14,
dayOfWeek: 6,
dayOfYear: 104,
month: 4,
year: 2017,
last(count): PointValueTime[count],
lastValue: PointValueTime(0.0@2017/04/14 13:10:28.215),
lastValue(count): PointValueTime,
set(value): ,
set(value, timestamp): ,
pointValuesBetween(timestamp, timestamp): PointValueTime[],
pointValuesSince(timestamp): PointValueTime[],
pointValuesBefore(timestamp): PointValueTime[],
pointValuesAfter(timestamp): PointValueTime[],
pointValueAt(timestamp): PointValueTime,
ago(periodType): double,
ago(periodType, periods): double,
past(periodType): AnalogStatisticsWrapper,
past(periodType, periods): AnalogStatisticsWrapper,
prev(periodType): AnalogStatisticsWrapper,
prev(periodType, periods): AnalogStatisticsWrapper,
previous(periodType): AnalogStatisticsWrapper,
previous(periodType, periods): AnalogStatisticsWrapper,
stats(from, to): AnalogStatisticsWrapper,
}Setting point NEW_DATAPOINTS_ADDED to 40841.0 @14/04/2017 00:00:00
Setting point Longest Datapoint Gap to 2232.0 @14/04/2017 00:00:00 -
Somewhere between anonymous functions and an eval() function there is plenty of room to make JavaScript confusing. I would avoid the eval function, personally, as its cleverness is often not worth its extra complexity or risk. But, that's up to you.
The likelihood is, if it has the problem on #10, that p10 is not a valid variable name or p10 is disabled.
-
Hi Phillip,
I just put Scripting version 1.2.1 into the store. It has a fix for the reason the error messages may not be printing beneath the script box. Could be helpful!
-
Thanks Phil I'll try it out.
-
Hi Phillip,
It looks like I made some mistakes when writing the interpolate script. From testing, here's an updated version of the base functionality...
function interpolate(valueTime1, valueTime2, time) { //You can implement this other ways, but this is simple linear I believe return parseFloat(valueTime1.value) + ((valueTime2.value - valueTime1.value) * (time - valueTime1.time)) / (valueTime2.time - valueTime1.time); } var minimumDataInterval = 5000; //5 seconds var periodBegin = new Date(2017, 3, 12).getTime(); //You probably wish to set these ranges var periodEnd = new Date(2017, 3, 13).getTime(); var values = p.pointValuesBetween( periodBegin, periodEnd ); for(var k = 0; k < values.length-1; k+=1) { var val1 = values[k]; var val2 = values[k+1]; if( val2.time - val1.time > minimumDataInterval ) { var newDataTime = val1.time + minimumDataInterval; while( newDataTime < val2.time ) { p.set( interpolate(val1, val2, newDataTime), newDataTime ); newDataTime += minimumDataInterval; } } }Here's the setup from my test:
{ "dataSources":[ { "xid":"DS_3b6b1d05-2aad-456f-895b-fe891ebc10a7", "name":"Scripting-BaseData", "enabled":false, "type":"SCRIPTING", "alarmLevels":{ "SCRIPT_ERROR":"URGENT", "DATA_TYPE_ERROR":"URGENT", "POLL_ABORTED":"URGENT", "LOG_ERROR":"URGENT" }, "purgeType":"YEARS", "context":[ { "varName":"p1", "dataPointXid":"DP_ae686073-a60f-481e-9d25-3ddc3e78ef88" } ], "logLevel":"NONE", "cronPattern":"0\/1 * * * * ?", "executionDelaySeconds":0, "historicalSetting":false, "script":"if(!p1.value) {\n p1.set(0, 0);\n p1.set(1000, 1000);\n}", "scriptPermissions":{ "customPermissions":"", "dataPointReadPermissions":"superadmin", "dataPointSetPermissions":"superadmin", "dataSourcePermissions":"superadmin" }, "editPermission":"", "purgeOverride":false, "purgePeriod":1 }, { "xid":"DS_af7afc6b-50b5-4c33-84e0-f9297514df28", "name":"Scripting-Interpolate", "enabled":false, "type":"SCRIPTING", "alarmLevels":{ "SCRIPT_ERROR":"URGENT", "DATA_TYPE_ERROR":"URGENT", "POLL_ABORTED":"URGENT", "LOG_ERROR":"URGENT" }, "purgeType":"YEARS", "context":[ { "varName":"p", "dataPointXid":"DP_ae686073-a60f-481e-9d25-3ddc3e78ef88" } ], "logLevel":"NONE", "cronPattern":"0\/1 * * * * ?", "executionDelaySeconds":0, "historicalSetting":true, "script":"function interpolate(valueTime1, valueTime2, time) {\n \/\/You can implement this other ways, but this is simple linear I believe\n return parseFloat(valueTime1.value) + ((valueTime2.value - valueTime1.value) * (time - valueTime1.time)) \/ (valueTime2.time - valueTime1.time);\n}\nif(p.last(100).length < 5) {\nvar minimumDataInterval = 2; \/\/5 seconds\nvar periodBegin = 0; \/\/You probably wish to set these ranges\nvar periodEnd = 1001;\nvar values = p.pointValuesBetween( periodBegin, periodEnd );\nfor(var k = 0; k < values.length-1; k+=1) {\n var val1 = values[k];\n var val2 = values[k+1];\n if( val2.time - val1.time > minimumDataInterval ) {\n var newDataTime = val1.time + minimumDataInterval;\n while( newDataTime < val2.time ) {\n p.set( interpolate(val1, val2, newDataTime), newDataTime );\n newDataTime += minimumDataInterval;\n }\n}\n}}", "scriptPermissions":{ "customPermissions":"", "dataPointReadPermissions":"superadmin", "dataPointSetPermissions":"superadmin", "dataSourcePermissions":"superadmin" }, "editPermission":"", "purgeOverride":false, "purgePeriod":1 }, { "xid":"DS_d68e5a18-5457-4fe3-a76b-3fc4c1c7120b", "name":"vrtds", "enabled":true, "type":"VIRTUAL", "alarmLevels":{ "POLL_ABORTED":"URGENT" }, "purgeType":"YEARS", "updatePeriodType":"MINUTES", "polling":false, "updatePeriods":5, "editPermission":"", "purgeOverride":false, "purgePeriod":1 } ], "dataPoints":[ { "xid":"DP_ae686073-a60f-481e-9d25-3ddc3e78ef88", "name":"test", "enabled":true, "loggingType":"ALL", "intervalLoggingPeriodType":"MINUTES", "intervalLoggingType":"AVERAGE", "purgeType":"YEARS", "pointLocator":{ "dataType":"NUMERIC", "changeType":{ "type":"NO_CHANGE", "startValue":"0" }, "settable":true }, "eventDetectors":[ ], "plotType":"SPLINE", "rollup":"NONE", "unit":"", "chartColour":"", "chartRenderer":{ "type":"IMAGE", "timePeriodType":"DAYS", "numberOfPeriods":1 }, "dataSourceXid":"DS_d68e5a18-5457-4fe3-a76b-3fc4c1c7120b", "defaultCacheSize":1, "deviceName":"vrtds", "discardExtremeValues":false, "discardHighLimit":1.7976931348623157E308, "discardLowLimit":-1.7976931348623157E308, "intervalLoggingPeriod":1, "intervalLoggingSampleWindowSize":0, "overrideIntervalLoggingSamples":false, "preventSetExtremeValues":false, "purgeOverride":false, "purgePeriod":1, "readPermission":"", "setExtremeHighLimit":1.7976931348623157E308, "setExtremeLowLimit":-1.7976931348623157E308, "setPermission":"", "textRenderer":{ "type":"ANALOG", "useUnitAsSuffix":true, "unit":"", "renderedUnit":"", "format":"0.00" }, "tolerance":0.0 } ] } -
Thanks again Phil. That helped :)
