###################################################################################################
#  Deployment specific global definitions - executed after startup.py
###################################################################################################

import ch.psi.pshell.epics.InvalidValueAction as InvalidValueAction

#Device pool customization
pbpg_mx.setTrustedWrite(False)
pbpg_my.setTrustedWrite(False)
m2rx.setTrustedWrite(False)


#Utilities
def fit(ydata, xdata = None):
    """
    Gaussian fit
    """
    if xdata is None:
        xdata = frange(0, len(ydata), 1)
    #ydata = to_list(ydata)
    #xdata = to_list(xdata)
    max_y= max(ydata)
    index_max = ydata.index(max_y)
    max_x= xdata[index_max]
    print "Max index:" + str(index_max),
    print " x:" + str(max_x),
    print " y:" + str(max_y)
    gaussians = fit_gaussians(ydata, xdata, [index_max,])
    (norm, mean, sigma) = gaussians[0]
    p = plot([ydata],["data"],[xdata], title="Fit" )[0]
    fitted_gaussian_function = Gaussian(norm, mean, sigma)
    scale_x = [float(min(xdata)), float(max(xdata)) ]
    points = max((len(xdata)+1), 100)
    resolution = (scale_x[1]-scale_x[0]) / points
    fit_y = []
    fit_x = frange(scale_x[0],scale_x[1],resolution, True)
    for x in fit_x:
        fit_y.append(fitted_gaussian_function.value(x))
    p.addSeries(LinePlotSeries("fit"))
    p.getSeries(1).setData(fit_x, fit_y)

    if abs(mean - xdata[index_max]) < ((scale_x[0] + scale_x[1])/2):
        print "Mean -> " +  str(mean)
        p.addMarker(mean, None, "Mean="+str(round(norm,2)), Color.MAGENTA.darker())
        return (norm, mean, sigma)
    else:
        p.addMarker(max_x, None, "Max="+str(round(max_x,2)), Color.GRAY)
        print "Invalid gaussian fit: " +  str(mean)
        return (None, None, None)


def elog(title, message, attachments = [], author = None, category = "Info", domain = "", logbook = "SwissFEL commissioning data", encoding=1):
    """
    Add entry to ELOG.
    """
    if author is None:
        author = "pshell" #get_context().user.name
    typ = "pshell"
    entry = ""

    cmd =           'G_CS_ELOG_add -l "' + logbook       + '" '
    cmd =     cmd + '-a "Author='        + author        + '" '
    cmd =     cmd + '-a "Type='          + typ           + '" '
    cmd =     cmd + '-a "Entry='         + entry         + '" '
    cmd =     cmd + '-a "Title='         + title         + '" '
    cmd =     cmd + '-a "Category='      + category      + '" '
    cmd =     cmd + '-a "Domain='        + domain        + '" '
    for attachment in attachments:
        cmd = cmd + '-f "'               + attachment    + '" '
    cmd =     cmd + '-n '                + str(encoding)
    cmd =     cmd + ' "'                 + message       + '"'
    #print cmd
    #os.system (cmd)
    #print os.popen(cmd).read()
    import subprocess
    proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
    (out, err) = proc.communicate()
    if (err is not None) and err!="":
        raise Exception(err)
    print out

    
def bsget(channel):
    """
    """
    st = Stream(None, dispatcher)
    try:    
        st.addScalar(channel, channel, 10, 0)
        st.initialize()
        st.start();
        st.waitValueNot(None, 5000)
        return st.getValue(channel)
    finally:
        st.close()

#Machine utilities    
def is_timing_ok():
    return caget("SIN-TIMAST-TMA:SOS-COUNT-CHECK") == 0

def get_repetition_rate():
    return caget("SIN-TIMAST-TMA:Evt-15-Freq-I")