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

from mathutils import estimate_peak_indexes, fit_gaussians, create_fit_point_list, Gaussian
from mathutils import fit_polynomial,fit_gaussian, fit_harmonic, calculate_peaks
from mathutils import PolynomialFunction, Gaussian, HarmonicOscillator

import java.awt.Color as Color

###################################################################################################
# Layout setup
###################################################################################################
import ch.psi.pshell.data.LayoutSF as LayoutSF
LayoutSF.setExperimentArguments([charge, laser, rep_rate_bunch_1, rep_rate_bunch_2, destination_AR, energy_AR])


###################################################################################################
# Machine utilities
###################################################################################################

LASER_SETTLING_TIME = 3.0 
       
def laser_on(bunch=None):
    print "Laser On - bunch “ + str(bunch)
    #caput("SIN-TIMAST-TMA:Beam-Las-Delay-Sel", 0)    
    if (bunch==1) or (bunch is None):
        caput("SWISSFEL-STATUS:Bunch-1-OnDelay-Sel", 0)    
    if (bunch==2) or (bunch is None):
        caput("SWISSFEL-STATUS:Bunch-2-OnDelay-Sel", 0)    
    caput("SIN-TIMAST-TMA:Beam-Apply-Cmd.PROC", 1)    
    time.sleep(LASER_SETTLING_TIME)
    
def laser_off(bunch=None):
    print "Laser Off - bunch “ + str(bunch)
    #caput("SIN-TIMAST-TMA:Beam-Las-Delay-Sel", 1)    
    if (bunch==1) or (bunch is None):
        caput("SWISSFEL-STATUS:Bunch-1-OnDelay-Sel", 1)        
    if (bunch==2) or (bunch is None):
        caput("SWISSFEL-STATUS:Bunch-2-OnDelay-Sel", 1)            
    caput("SIN-TIMAST-TMA:Beam-Apply-Cmd.PROC", 1)    
    time.sleep(LASER_SETTLING_TIME)

def is_laser_on(bunch=None):
    #return (caget ("SIN-TIMAST-TMA:Beam-Las-Delay-Sel",'d') == 0 )
    if bunch==1:
        return (caget ("SWISSFEL-STATUS:Bunch-1-OnDelay-Sel",'d') == 0 )
    if bunch==2:
        return (caget ("SWISSFEL-STATUS:Bunch-2-OnDelay-Sel",'d') == 0 )
    if bunch is None:
        return is_laser_on(1) and is_laser_on(2)

def save_laser_state():
    global laser_was_on_1, laser_was_on_2
    laser_was_on_1 = is_laser_on(1)
    laser_was_on_2 = is_laser_on(2)

def restore_laser_state():
    global laser_was_on_1, laser_was_on_2
    if laser_was_on_1: 
        laser_on(1)
    else:
        laser_off(1)
    if laser_was_on_2: 
        laser_on(2)
    else:
        laser_off(2)

def get_beam_ok_channel(bunch):
    if bunch==2:
        return "SIN-CVME-TIFGUN-EVR0:BUNCH-2-OK"
    if bunch==1:
        return "SIN-CVME-TIFGUN-EVR0:BUNCH-1-OK"

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

def get_repetition_rate(bunch=1, setp=None):
     if not setp:
        if bunch==2:
            ret =  caget(c, 'd')
        else:
            ret = caget("SIN-TIMAST-TMA:Bunch-1-Appl-Freq-RB", 'd')
        if setp==False or ret > 0:
            return ret
        print "Readback is 0: returning Setpoint"
     sel = caget("SIN-TIMAST-TMA:Bunch-" + str(bunch) + "-Freq-Sel")        
     return  float(sel.split(" ")[0])

        

###################################################################################################
# Maths 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 hfit(ydata, xdata = None):
    """
    Harmonic fit
    """
    if xdata is None:
        xdata = frange(0, len(ydata), 1)

    max_y= max(ydata)
    index_max = ydata.index(max_y)
    max_x= xdata[index_max]

    start,end = min(xdata), max(xdata)
    (amplitude, angular_frequency, phase) = fit_harmonic(ydata, xdata)
    fitted_harmonic_function = HarmonicOscillator(amplitude, angular_frequency, phase)

    print "amplitude = ", amplitude
    print "angular frequency = ", angular_frequency
    print "phase = ", phase

    f = angular_frequency/ (2* math.pi)
    print "frequency = ", f

    resolution = 4.00 # 1.00
    fit_y = []
    for x in frange(start,end,resolution, True):
        fit_y.append(fitted_harmonic_function.value(x))
    fit_x = frange(start, end+resolution, resolution)

    p = plot(ydata,"data", xdata, title="HFit")[0]
    p.addSeries(LinePlotSeries("fit"))
    p.getSeries(1).setData(fit_x, fit_y)

    #m = (phase + math.pi)/ angular_frequency
    m = -phase / angular_frequency
    if (m<start):
        m+=(1.0/f)

    if start <=m <=end:
        print "fit = ", m
        p.addMarker(m, None, "Fit="+str(round(m ,2)), Color.MAGENTA.darker())
        return (amplitude, angular_frequency, phase, True, m, fit_x, fit_y)
    else:
        print "max = ",max_x
        p.addMarker(max_x, None, "Max="+str(round(max_x ,2)), Color.MAGENTA.darker())
        return (amplitude, angular_frequency, phase, False, max_x, fit_x, fit_y)


def clear_convex_hull_plot(title):
    plots = get_plots(title = title)
    if len(plots)>0:
        plots[0].clear() 
 
def add_convex_hull_plot(title, x,y, name=None, clear = False, x_range = None, y_range = None):
    plots = get_plots(title = title)
    p = None
    if len(plots)==0:
        p = plot(None,name=name, title = title)[0]       
        if x_range is not None:
            p.getAxis(p.AxisId.X).setRange(x_range[0], x_range[1])
        if y_range is not None:
            p.getAxis(p.AxisId.Y).setRange(y_range[0], y_range[1])
        p.setLegendVisible(True)       
    else:
        p = plots[0]   
        if clear:
            p.clear()
        p.addSeries(LinePlotSeries(name))                   
    s = p.getSeries(name)       
    s.setLinesVisible(False)
    s.setPointSize(3)
    x, y = to_array(x,'d') , to_array(y,'d')
    s.setData(x, y)             
    
    #Convex Hull
    #In the first time the plot shows, it takes some time for the color to be assigned
    timeout = 0
    while s.color is None and timeout<1000:
        time.sleep(0.001)
        timeout = timeout + 1
    hull = LinePlotSeries(name + "Hull", s.color)   
    p.addSeries(hull)    
    #Bounding box
    #x1,x2,y1,y2 = min(x), max(x), min(y), max(y)   
    #(hx,hy) = ([x1,x2, x2, x1, x1], [y1, y1, y2, y2, y1])            
    (hx,hy) = convex_hull(x=x, y=y)
    hx.append(hx[0]); hy.append(hy[0])                                
    hull.setLineWidth(2)
    hull.setData(to_array(hx,'d') , to_array(hy,'d'))    
    hull.setColor(s.color)
    return [hx,hy]


###################################################################################################
# Tools
###################################################################################################

def elog(title, message, attachments = [], application = None, 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

    if application is None:
        application = get_exec_pars().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        + '" '
    cmd =     cmd + '-a "Application='   + application   + '" '
    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
    import ch.psi.pshell.ui.App as App
    if not App.isOutputRedirected():
        import java.lang.System as System
        System.out.println(out)    
    try:
        return int(out[out.find("ID=") +3 : ])
    except:
        print out


###################################################################################################
# Pseudo-devices
###################################################################################################
class Sinusoid(ReadonlyRegisterBase):
    def doRead(self):
        self.x = self.x + 5.0 if hasattr(self, 'x') else 0.0
        return math.sin(self.x * math.pi / 180.0)

add_device(Sinusoid("sim_sensor"), True)
sim_sensor.polling=1000
add_device(DummyPositioner("sim_positioner"), True)

###################################################################################################
# Camera server
###################################################################################################
def wait_cam_server_message(number_messages = 1, timeout = 10000):
    for i in range (number_messages):
        if not cam_server.stream.waitCacheChange(timeout): 
            raise Exception("Timeout receiving from camera server")
    
def get_cam_server_stats(number_images=1, async = True, interval=-1, good_region = False):
    ret = []
    wait_cam_server_message()
    prefix = "gr_" if good_region else ""
    for ident in [prefix+"x_center_of_mass", prefix+"y_center_of_mass", prefix+"x_rms", prefix+"y_rms"]:        
        child = cam_server.stream.getChild(ident)
        av = create_averager(child, number_images, interval)
        av.monitored = async
        ret.append(av)
    return ret

def wait_cam_server_background(background, timeout = 10000):
    start = time.time()
    while True:
        processing_parameters = cam_server.getProcessingParameters()        
        if (processing_parameters is not None) and (str(background) == processing_parameters["image_background"]):
           return
        if (time.time()-start) > timeout/1000:
            raise Exception("Timeout waiting for camera server background: " + str(background))
        time.sleep(0.01)

###################################################################################################
# Camera scans
###################################################################################################

def setup_camera_scan():
    global camera_name, bpm_name, number_images, use_background, multiple_background, number_backgrounds, dry_run
    if not is_laser_on(1) and not is_laser_on(2):
        raise Exception("Both bunches are on delay")
    save_laser_state()
    multiple_background = multiple_background and use_background       
    cam_server.start(camera_name + "_sp", use_screen_panel_stream)
    if use_background:    
        if not dry_run:
            laser_off()        
        bg=cam_server.captureBackground(1 if multiple_background else number_backgrounds)                              
        cam_server.setBackgroundSubtraction(True)        
        if not multiple_background: wait_cam_server_background(bg)
    else:        
        cam_server.setBackgroundSubtraction(False)        
            
    if not multiple_background:
        if not dry_run:
            restore_laser_state()

def before_sample_camera_scan():    
    global  camera_name, number_images, use_background, multiple_background, number_backgrounds, dry_run
    if multiple_background:
        bg = cam_server.captureBackground(number_backgrounds)
        wait_cam_server_background(bg)
        if not dry_run:
            #laser_on()            
            restore_laser_state()
    wait_cam_server_message(number_images)
    
def after_sample_camera_scan():
    if multiple_background:
        if not dry_run:
            laser_off()    
        
def get_camera_scan_sensors():
    global  camera_name, number_images, use_background, multiple_background, number_backgrounds, dry_run
    sensors = get_cam_server_stats(number_images, good_region=use_good_region)
    if plot_image:
        sensors.append(cam_server.getDataMatrix()) 
    return sensors
        
def end_camera_scan():
    global  camera_name, number_images, use_background, multiple_background, number_backgrounds, dry_run
    if not dry_run:
        restore_laser_state()