###################################################################################################
#  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


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

LASER_SETTLING_TIME = 3.0 
       
def laser_on():
    print "Laser On"
    caput("SIN-TIMAST-TMA:Beam-Las-Delay-Sel", 0)    
    caput("SIN-TIMAST-TMA:Beam-Apply-Cmd.PROC", 1)    
    time.sleep(LASER_SETTLING_TIME)
    
def laser_off():
    print "Laser Off"
    caput("SIN-TIMAST-TMA:Beam-Las-Delay-Sel", 1)    
    caput("SIN-TIMAST-TMA:Beam-Apply-Cmd.PROC", 1)    
    time.sleep(LASER_SETTLING_TIME)

def is_laser_on():
    return (caget ("SIN-TIMAST-TMA:Beam-Las-Delay-Sel",'d') == 0 )

# Switch off magnets
def ccr(magnet):
    while caget(magnet+ ":I-COMP") > 0:
        sleep(0.5)

def switch_off_magnets(magnets = None):
    if magnets is None:
        magnets = [ "SINEG01-MCRX120","SINEG01-MCRY120",
        "SINEG01-MQUA140",
        "SINEG01-MQUA150",
        "SINEG01-MCRX160","SINEG01-MCRY160",
        "SINEG01-MCRX180","SINEG01-MCRY180",
        "SINEG01-MCRX200","SINEG01-MCRY200",
        "SINEG01-MCRX220","SINEG01-MCRY220",
        "SINEG01-MQUA310",
        "SINEG01-MQUA320" ]
    magnets = to_list(magnets)
    for m in magnets:
        caput(m + ":I-SET", 0.0)
    sleep(0.5)
    for m in magnets:
        ccr(m)    

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")

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()    
    

###################################################################################################
# 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 = [], 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
    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("phase"), True)
add_device(Sinusoid("bpm_q"), True)
add_device(Sinusoid("center_x"), True)
add_device(Sinusoid("center_y"), True)
center_x.setPolling(100)
center_y.setPolling(100)

import random
class ComX(ReadonlyRegisterBase):
    def doRead(self):
        ret = gun_solenoid.read()/10.0 + random.random()
        print "X=",ret
        return ret
class ComY(ReadonlyRegisterBase):
    def doRead(self):
        ret = gun_solenoid.read()/15.0 + random.random()
        print "Y=",ret
        return ret
comx = ComX(); comx.initialize()
comy = ComY(); comy.initialize()
avx = create_averager(comx, 5, 0.001)
avy = create_averager(comy, 5, 0.001)
"""


###################################################################################################
# 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)


def get_camera_type(camera_name):
    if "LCAM" in camera_name: return "LASER"
    if "DSCR" in camera_name or \
       "DSRM" in camera_name or \
       "DLAC" in camera_name: return "ELECTRONS"
    if "PROF" in camera_name or \
       "PPRM" in camera_name or \
       "PSSS" in camera_name or \
       "PSCR" in camera_name or \
       "PSRD" in camera_name: return "ELECTRONS"
    return "UNKNOWN"


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

# source = "server", "camtool", "bpm" or "direct"
def setup_camera_scan():
    global source, camera_name, bpm_name, number_images, use_background, multiple_background, number_backgrounds, dry_run, laser_was_on
    laser_was_on = is_laser_on()
    multiple_background = multiple_background and use_background       
    if source == "server":    
        cam_server.start(camera_name)
        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)        
            
    elif source == "camtool":    
        #kill_camtool()
        check_camtool()
        if use_background:    
            if not dry_run:
                laser_off()
            if not multiple_background:
                camtool.stop()
                camtool.grabBackground(camera_name, number_backgrounds)
        camtool.start(camera_name, 0, use_background, None, 0.0, None)        
    else:
        if source == "bpm":
            run("Devices/BpmStats")
            add_device(BpmStats("image_stats", bpm_name), True)
            multiple_background = False
            use_background = False
        else:
            run("Devices/ImageStats")
            add_device(ImageStats("image_stats",  camera_name), True)
            add_device(image_stats.source, True)
            image_stats.enableBackground(use_background)
            if use_background:            
                laser_off()
                if not multiple_background:
                    image_stats.grabBackground(number_backgrounds)
        image_stats.setNumberOfImages(max(number_images,1))

    if not multiple_background:
        if not dry_run:
            laser_on()        

def before_sample_camera_scan():    
    global source, camera_name, number_images, use_background, multiple_background, number_backgrounds, dry_run
    if source == "server":
        if multiple_background:
            bg = cam_server.captureBackground(number_backgrounds)
            wait_cam_server_background(bg)
            if not dry_run:
                laser_on()            
        wait_cam_server_message(number_images)
    elif source == "camtool":
        if multiple_background:
            camtool.stop()
            camtool.grabBackground(camera_name, number_backgrounds)
            camtool.start(camera_name, 0, use_background, None, 0.0, None)
            if not dry_run:
                laser_on()            
        wait_camtool_message(number_images)    #Wait filing the averager cache     
    else:
        if multiple_background:
            image_stats.grabBackground(number_backgrounds)
            laser_on()            
        image_stats.update()
    
def after_sample_camera_scan():
    if multiple_background:
        if not dry_run:
            laser_off()    
        
def get_camera_scan_sensors():
    global source, camera_name, number_images, use_background, multiple_background, number_backgrounds, dry_run
    if source == "server":
        sensors = get_cam_server_stats(number_images, good_region=use_good_region)
        if plot_image:
            sensors.append(cam_server.getDataMatrix()) 
    elif source == "camtool":
        sensors = get_camtool_stats(number_images, good_region=use_good_region)
        if plot_image:
            sensors.append(camtool.getDataMatrix()) 
    else:
        sensors = [image_stats.com_x_mean, image_stats.com_y_mean, image_stats.com_x_stdev, image_stats.com_y_stdev] 
        if  plot_image and (source == "direct"):
            sensors.append(image_stats.source.getDataMatrix()) 
    return sensors
        
def end_camera_scan():
    global source, camera_name, number_images, use_background, multiple_background, number_backgrounds, dry_run, laser_was_on
    #if source == "server": cam_server.stop()
    #elif source == "camtool": camtool.stop()
    #elif source == "camtool": camtool.stop()
    #else: image_stats.stop()
    if not dry_run:
        if laser_was_on:
            laser_on()
        else:
            laser_off()    
    pass    
###################################################################################################
#CAS
###################################################################################################

if get_context().isServerEnabled():
    import ch.psi.pshell.epics.CAS as CAS
    #CAS.setServerPort(5062)    
    
    class ServerUrl(ReadonlyRegisterBase):
        def doRead(self):
            return get_context().server.baseURL                        
    d = ServerUrl()
    d.initialize()        
    
    cas5 = CAS("PSHELL_OP:SERVER_URL", d, 'string')