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"""
Example 9

- evaluate the effects due to misalignment in the undulator line
- discrepancy in K values / phase mismatch in the drift section
"""

import sys
isjupyter = "ipykernel" in sys.modules

import simplex 

if isjupyter:
    simplex.Start(mode="c") 
    import plotly.io as pio
    pio.renderers.default = "notebook" # to enable exporting as an HTML file
    from IPython.display import display, HTML
else:
    simplex.Start() 

# open "sample.json" in the current directory
simplex.Open("sample_sase.json") 

# ideal alignment
simplex.StartSimulation(folder="./output", prefix="sample9", serial=0)

Ncases = 4
simplex.Set("alignment", "ualign", "Specify Tolerance")
# K-value tolerance scanned from 2e-3 to 8e-3
simplex.Scan("alignment", "Ktol", 2e-3, 8e-3, Ncases, link=True, serial=1, iniSN=1)

# data names 
datanames = []
for n in range(Ncases):
    datanames.append("sample9-1"+"_"+str(n+1))

# plot and compare the results
if isjupyter:
    display(HTML("<h2>Gain reduction by the K value discrepancy between segments"))
    simplex.PostProcessCLI.Plot(data=["sample9-0", *datanames], item="Pulse Energy", config={"yscale":"Logarithmic"})
else:
    simplex.PostProcess.Plot("Pulse Energy")
    simplex.PostProcess.PlotScale(y="log")
    simplex.PostProcess.SelectData("sample9-0")
    simplex.PostProcess.ComparativePlot(*datanames)
    simplex.PostProcess.DuplicatePlot("Gain reduction by the K value discrepancy between segments")

# slippage tolerance scanned from 30 deg. to 120 deg.
simplex.Scan("alignment", "sliptol", 30, 120, Ncases, link=True, serial=2, iniSN=1)

# data names 
datanames = []
for n in range(Ncases):
    datanames.append("sample9-2"+"_"+str(n+1))

if isjupyter:
    display(HTML("<h2>Gain reduction by the mismatched phase between segments"))
    simplex.PostProcessCLI.Plot(data=["sample9-0", *datanames], item="Pulse Energy", config={"yscale":"Logarithmic"})
else:
    simplex.PostProcess.Plot("Pulse Energy")
    simplex.PostProcess.PlotScale(y="log")
    simplex.PostProcess.SelectData("sample9-0")
    simplex.PostProcess.ComparativePlot(*datanames)
    simplex.PostProcess.DuplicatePlot("Gain reduction by the mismatched phase between segments")

if not isjupyter:
    input("Completed. Press enter to exit. ")
    simplex.Exit()
    
                                                  

Gain reduction by the K value discrepancy between segments

                                                  

Gain reduction by the mismatched phase between segments

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