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When adding boundary conditions to the model you must first declare the type of the boundary you want to add. This is done as follows for a waterlevel timeseries:

Code Block

language	py
title	Creare timeseries boundaries

flowLeftBoundaryCondition = AddFlowBoundaryCondition(fmModel, leftBoundary.Name, FlowBoundaryQuantityType.WaterLevel, BoundaryConditionDataType.TimeSeries)
flowTopBoundaryCondition = AddFlowBoundaryCondition(fmModel, topBoundary.Name, FlowBoundaryQuantityType.WaterLevel, BoundaryConditionDataType.TimeSeries)
flowBottomBoundaryCondition = AddFlowBoundaryCondition(fmModel, bottomBoundary.Name, FlowBoundaryQuantityType.WaterLevel, BoundaryConditionDataType.TimeSeries)
flowRightBoundaryCondition = AddFlowBoundaryCondition(fmModel, rightBoundary.Name, FlowBoundaryQuantityType.WaterLevel, BoundaryConditionDataType.TimeSeries)

This can be seen on the map on the boundary :

Now we declare a timeseries as a list of [datetime, value]. To do this we need to import the datetime and time classes from the python datetime library.

Code Block

title	Create timeseries

from datetime import datetime, time

boundaryTimeSeries startTime = [[datetime(2014,1,1, 12,0,0), 2.0],
endTime                      [= datetime(2014,1,212, 12,0,0), 2.2

boundaryConditionSets = [[leftBoundary,flowLeftBoundaryCondition],
                        [datetime(2014,1,3, 12,0,0), -1.8],
topBoundary,flowTopBoundaryCondition],
                        [datetime(2014,1,4, 12,0,0), 2.0bottomBoundary, flowBottomBoundaryCondition],
                        [datetime(2014,1,5, 12,0,0), -2.0],
   rightBoundary, flowRightBoundaryCondition]]

Code Block

language	py
title	Add WPS boundary conditions

for boundaryConditionSet in boundaryConditionSets:
    # get timeseries for each support point using wps service
    timeSeries = [datetime(2014,1,6, 12,0,0), 2.0],wps.GetTidalPredictForLineString(boundaryConditionSet[0].Geometry, EPSGCode, startTime, endTime, wps.Frequency.Hourly)

    # add resultTimeSeries to support points
    for supportPointIndex        [datetime(2014,1,7, 12,0,0), -2.0],in range(len(timeSeries)):
        resultTimeSeries              [datetime(2014,1,8, 12,0,0), 2.0]]

Then we continue by adding the timeseries to a support point of the boundary. In this case we assign the timeseries to 4 support points (left boundary - point 0, 2 and 5 <=> top boundary - point 0).

Code Block

language	py
title	Add timeseries to boundary supportpoint

AddTimeSeriesToSupportPoint(fmModel, flowLeftBoundaryCondition, 0, boundaryTimeSeries)
AddTimeSeriesToSupportPoint(fmModel, flowLeftBoundaryCondition, 2, boundaryTimeSeries)
AddTimeSeriesToSupportPoint(fmModel, flowLeftBoundaryCondition, 5, boundaryTimeSeries)

= timeSeries[supportPointIndex]
        AddTimeSeriesToSupportPoint(fmModel, flowTopBoundaryConditionboundaryConditionSet[1], 0supportPointIndex, boundaryTimeSeriesresultTimeSeries)

The result can be viewed double clicking the boundary on the map and looking at the boundary conditions editor :

Here you can see that for the left boundary there is a waterlevel timeseries declared on the nodes 0 (LeftBoundary_0001), 2 (LeftBoundary_0003) and 5 (LeftBoundary_0006)

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