"""
@package wxplot.base

@brief Base classes for iinteractive plotting using PyPlot

Classes:
 - base::PlotIcons
 - base::BasePlotFrame

(C) 2011 by the GRASS Development Team

This program is free software under the GNU General Public License
(>=v2). Read the file COPYING that comes with GRASS for details.

@author Michael Barton, Arizona State University
"""

import os
import sys

import wx

import gui_core.wxlibplot as plot
from core.globalvar import ICONDIR
from core.settings import UserSettings
from wxplot.dialogs import TextDialog, OptDialog
from core.render import Map
from icons.icon import MetaIcon
from gui_core.toolbars import BaseIcons
from core.utils import _

import grass.script as grass

PlotIcons = {
    'draw': MetaIcon(
        img='show',
        label=_('Draw/re-draw plot')),
    'transect': MetaIcon(
        img='layer-raster-profile',
        label=_('Draw transect in map display window to profile')),
    'options': MetaIcon(
        img='settings',
        label=_('Plot options')),
    'statistics': MetaIcon(
        img='stats',
        label=_('Plot statistics')),
    'save': MetaIcon(
        img='save',
        label=_('Save profile data to CSV file')),
    'quit': BaseIcons['quit'].SetLabel(
        _('Quit plot tool')),
}


class BasePlotFrame(wx.Frame):
    """Abstract PyPlot display frame class"""

    def __init__(self, parent=None, size=wx.Size(700, 400),
                 style=wx.DEFAULT_FRAME_STYLE, rasterList=[], **kwargs):

        wx.Frame.__init__(
            self,
            parent,
            id=wx.ID_ANY,
            size=size,
            style=style,
            **kwargs)

        self.parent = parent  # MapFrame for a plot type
        self.Map = Map()             # instance of render.Map to be associated with display
        self.rasterList = rasterList  # list of rasters to plot
        self.raster = {}    # dictionary of raster maps and their plotting parameters
        self.plottype = ''

        self.linestyledict = {'solid': wx.SOLID,
                              'dot': wx.DOT,
                              'long-dash': wx.LONG_DASH,
                              'short-dash': wx.SHORT_DASH,
                              'dot-dash': wx.DOT_DASH}

        self.ptfilldict = {'transparent': wx.TRANSPARENT,
                           'solid': wx.SOLID}

        #
        # Icon
        #
        self.SetIcon(
            wx.Icon(
                os.path.join(
                    ICONDIR,
                    'grass.ico'),
                wx.BITMAP_TYPE_ICO))

        #
        # Add statusbar
        #
        self.statusbar = self.CreateStatusBar(number=2, style=0)
        self.statusbar.SetStatusWidths([-2, -1])

        #
        # Define canvas and settings
        #
        #
        self.client = plot.PlotCanvas(self)

        # define the function for drawing pointLabels
        self.client.SetPointLabelFunc(self.DrawPointLabel)

        # Create mouse event for showing cursor coords in status bar
        self.client.canvas.Bind(wx.EVT_LEFT_DOWN, self.OnMouseLeftDown)

        # Show closest point when enabled
        self.client.canvas.Bind(wx.EVT_MOTION, self.OnMotion)

        self.plotlist = []      # list of things to plot
        self.plot = None        # plot draw object
        self.ptitle = ""        # title of window
        self.xlabel = ""        # default X-axis label
        self.ylabel = ""        # default Y-axis label

        self.CentreOnScreen()

        self._createColorDict()

    def _createColorDict(self):
        """Create color dictionary to return wx.Colour tuples
        for assigning colors to images in imagery groups"""

        self.colorDict = {}
        for clr in grass.named_colors.iterkeys():
            if clr == 'white':
                continue
            r = grass.named_colors[clr][0] * 255
            g = grass.named_colors[clr][1] * 255
            b = grass.named_colors[clr][2] * 255
            self.colorDict[clr] = (r, g, b, 255)

    def InitPlotOpts(self, plottype):
        """Initialize options for entire plot
        """
        self.plottype = plottype                # histogram, profile, or scatter

        self.properties = {}                    # plot properties
        self.properties['font'] = {}
        self.properties['font']['prop'] = UserSettings.Get(
            group=self.plottype, key='font')
        self.properties['font']['wxfont'] = wx.Font(11, wx.FONTFAMILY_SWISS,
                                                    wx.FONTSTYLE_NORMAL,
                                                    wx.FONTWEIGHT_NORMAL)

        self.properties['raster'] = {}
        self.properties['raster'] = UserSettings.Get(
            group=self.plottype, key='raster')
        colstr = str(self.properties['raster']['pcolor'])
        self.properties['raster']['pcolor'] = tuple(
            int(colval) for colval in colstr.strip('()').split(','))

        if self.plottype == 'profile':
            self.properties['marker'] = UserSettings.Get(
                group=self.plottype, key='marker')
            # changing color string to tuple for markers/points
            colstr = str(self.properties['marker']['color'])
            self.properties['marker']['color'] = tuple(
                int(colval) for colval in colstr.strip('()').split(','))

        self.properties['grid'] = UserSettings.Get(
            group=self.plottype, key='grid')
        # changing color string to tuple
        colstr = str(self.properties['grid']['color'])
        self.properties['grid']['color'] = tuple(
            int(colval) for colval in colstr.strip('()').split(','))

        self.properties['x-axis'] = {}
        self.properties[
            'x-axis']['prop'] = UserSettings.Get(group=self.plottype, key='x-axis')
        self.properties['x-axis']['axis'] = None

        self.properties['y-axis'] = {}
        self.properties[
            'y-axis']['prop'] = UserSettings.Get(group=self.plottype, key='y-axis')
        self.properties['y-axis']['axis'] = None

        self.properties['legend'] = UserSettings.Get(
            group=self.plottype, key='legend')

        self.zoom = False  # zooming disabled
        self.drag = False  # draging disabled
        # vertical and horizontal scrollbars
        self.client.SetShowScrollbars(True)

        # x and y axis set to normal (non-log)
        self.client.setLogScale((False, False))
        if self.properties['x-axis']['prop']['type']:
            self.client.SetXSpec(self.properties['x-axis']['prop']['type'])
        else:
            self.client.SetXSpec('auto')

        if self.properties['y-axis']['prop']['type']:
            self.client.SetYSpec(self.properties['y-axis']['prop']['type'])
        else:
            self.client.SetYSpec('auto')

    def InitRasterOpts(self, rasterList, plottype):
        """Initialize or update raster dictionary for plotting
        """

        rdict = {}  # initialize a dictionary
        self.properties['raster'] = UserSettings.Get(
            group=self.plottype, key='raster')

        for r in rasterList:
            idx = rasterList.index(r)

            try:
                ret = grass.raster_info(r)
            except:
                continue
                # if r.info cannot parse map, skip it

            self.raster[r] = self.properties['raster']  # some default settings
            rdict[r] = {}  # initialize sub-dictionaries for each raster in the list

            rdict[r]['units'] = ''
            if ret['units'] not in ('(none)', '"none"', '', None):
                rdict[r]['units'] = ret['units']

            rdict[r]['plegend'] = r   # use fully-qualified names
            # list of cell value,frequency pairs for plotting histogram
            rdict[r]['datalist'] = []
            rdict[r]['pline'] = None
            rdict[r]['datatype'] = ret['datatype']

            #
            # initialize with saved values
            #
            if self.properties['raster']['pwidth'] is not None:
                rdict[r]['pwidth'] = self.properties['raster']['pwidth']
            else:
                rdict[r]['pwidth'] = 1

            if self.properties['raster']['pstyle'] is not None and \
                    self.properties['raster']['pstyle'] != '':
                rdict[r]['pstyle'] = self.properties['raster']['pstyle']
            else:
                rdict[r]['pstyle'] = 'solid'

            if idx < len(self.colorList):
                if idx == 0:
                    # use saved color for first plot
                    if self.properties['raster']['pcolor'] is not None:
                        rdict[r]['pcolor'] = self.properties[
                            'raster']['pcolor']
                    else:
                        rdict[r]['pcolor'] = self.colorDict[
                            self.colorList[idx]]
                else:
                    rdict[r]['pcolor'] = self.colorDict[self.colorList[idx]]
            else:
                r = randint(0, 255)
                b = randint(0, 255)
                g = randint(0, 255)
                rdict[r]['pcolor'] = ((r, g, b, 255))

        return rdict

    def InitRasterPairs(self, rasterList, plottype):
        """Initialize or update raster dictionary with raster pairs for
            bivariate scatterplots
        """

        if len(rasterList) == 0:
            return

        rdict = {}  # initialize a dictionary
        for rpair in rasterList:
            idx = rasterList.index(rpair)

            try:
                ret0 = grass.raster_info(rpair[0])
                ret1 = grass.raster_info(rpair[1])

            except:
                continue
                # if r.info cannot parse map, skip it

            self.raster[rpair] = UserSettings.Get(
                group=plottype, key='rasters')  # some default settings
            # initialize sub-dictionaries for each raster in the list
            rdict[rpair] = {}
            rdict[rpair][0] = {}
            rdict[rpair][1] = {}
            rdict[rpair][0]['units'] = ''
            rdict[rpair][1]['units'] = ''

            if ret0['units'] not in ('(none)', '"none"', '', None):
                rdict[rpair][0]['units'] = ret0['units']
            if ret1['units'] not in ('(none)', '"none"', '', None):
                rdict[rpair][1]['units'] = ret1['units']

            rdict[rpair]['plegend'] = rpair[0].split(
                '@')[0] + ' vs ' + rpair[1].split('@')[0]
            # list of cell value,frequency pairs for plotting histogram
            rdict[rpair]['datalist'] = []
            rdict[rpair][0]['datatype'] = ret0['datatype']
            rdict[rpair][1]['datatype'] = ret1['datatype']

            #
            # initialize with saved values
            #
            if self.properties['raster']['ptype'] is not None and \
                    self.properties['raster']['ptype'] != '':
                rdict[rpair]['ptype'] = self.properties['raster']['ptype']
            else:
                rdict[rpair]['ptype'] = 'dot'
            if self.properties['raster']['psize'] is not None:
                rdict[rpair]['psize'] = self.properties['raster']['psize']
            else:
                rdict[rpair]['psize'] = 1
            if self.properties['raster']['pfill'] is not None and \
                    self.properties['raster']['pfill'] != '':
                rdict[rpair]['pfill'] = self.properties['raster']['pfill']
            else:
                rdict[rpair]['pfill'] = 'solid'

            if idx <= len(self.colorList):
                rdict[rpair]['pcolor'] = self.colorDict[self.colorList[idx]]
            else:
                r = randint(0, 255)
                b = randint(0, 255)
                g = randint(0, 255)
                rdict[rpair]['pcolor'] = ((r, g, b, 255))

        return rdict

    def SetGraphStyle(self):
        """Set plot and text options
        """
        self.client.SetFont(self.properties['font']['wxfont'])
        self.client.SetFontSizeTitle(
            self.properties['font']['prop']['titleSize'])
        self.client.SetFontSizeAxis(
            self.properties['font']['prop']['axisSize'])

        self.client.SetEnableZoom(self.zoom)
        self.client.SetEnableDrag(self.drag)

        #
        # axis settings
        #
        if self.properties['x-axis']['prop']['type'] == 'custom':
            self.client.SetXSpec('min')
        else:
            self.client.SetXSpec(self.properties['x-axis']['prop']['type'])

        if self.properties['y-axis']['prop']['type'] == 'custom':
            self.client.SetYSpec('min')
        else:
            self.client.SetYSpec(self.properties['y-axis']['prop'])

        if self.properties['x-axis']['prop']['type'] == 'custom' and self.properties[
                'x-axis']['prop']['min'] < self.properties['x-axis']['prop']['max']:
            self.properties['x-axis']['axis'] = (
                self.properties['x-axis']['prop']['min'],
                self.properties['x-axis']['prop']['max'])
        else:
            self.properties['x-axis']['axis'] = None

        if self.properties['y-axis']['prop']['type'] == 'custom' and self.properties[
                'y-axis']['prop']['min'] < self.properties['y-axis']['prop']['max']:
            self.properties['y-axis']['axis'] = (
                self.properties['y-axis']['prop']['min'],
                self.properties['y-axis']['prop']['max'])
        else:
            self.properties['y-axis']['axis'] = None

        if self.properties['x-axis']['prop']['log'] == True:
            self.properties['x-axis']['axis'] = None
            self.client.SetXSpec('min')
        if self.properties['y-axis']['prop']['log'] == True:
            self.properties['y-axis']['axis'] = None
            self.client.SetYSpec('min')

        self.client.setLogScale((self.properties['x-axis']['prop']['log'],
                                 self.properties['y-axis']['prop']['log']))

        #
        # grid settings
        #
        self.client.SetEnableGrid(self.properties['grid']['enabled'])

        self.client.SetGridColour(
            wx.Colour(
                self.properties['grid']['color'][0],
                self.properties['grid']['color'][1],
                self.properties['grid']['color'][2],
                255))

        #
        # legend settings
        #
        self.client.SetFontSizeLegend(
            self.properties['font']['prop']['legendSize'])
        self.client.SetEnableLegend(self.properties['legend']['enabled'])

    def DrawPlot(self, plotlist):
        """Draw line and point plot from list plot elements.
        """
        xlabel, ylabel = self._getPlotLabels()
        self.plot = plot.PlotGraphics(plotlist,
                                      self.ptitle,
                                      xlabel,
                                      ylabel)

        if self.properties['x-axis']['prop']['type'] == 'custom':
            self.client.SetXSpec('min')
        else:
            self.client.SetXSpec(self.properties['x-axis']['prop']['type'])

        if self.properties['y-axis']['prop']['type'] == 'custom':
            self.client.SetYSpec('min')
        else:
            self.client.SetYSpec(self.properties['y-axis']['prop']['type'])

        self.client.Draw(self.plot, self.properties['x-axis']['axis'],
                         self.properties['y-axis']['axis'])

    def DrawPointLabel(self, dc, mDataDict):
        """This is the fuction that defines how the pointLabels are
            plotted dc - DC that will be passed mDataDict - Dictionary
            of data that you want to use for the pointLabel

            As an example I have decided I want a box at the curve
            point with some text information about the curve plotted
            below.  Any wxDC method can be used.
        """
        dc.SetPen(wx.Pen(wx.BLACK))
        dc.SetBrush(wx.Brush(wx.BLACK, wx.SOLID))

        sx, sy = mDataDict["scaledXY"]  # scaled x,y of closest point
        # 10by10 square centered on point
        dc.DrawRectangle(sx - 5, sy - 5, 10, 10)
        px, py = mDataDict["pointXY"]
        cNum = mDataDict["curveNum"]
        pntIn = mDataDict["pIndex"]
        legend = mDataDict["legend"]
        # make a string to display
        s = "Crv# %i, '%s', Pt. (%.2f,%.2f), PtInd %i" % (
            cNum, legend, px, py, pntIn)
        dc.DrawText(s, sx, sy + 1)

    def OnZoom(self, event):
        """Enable zooming and disable dragging
        """
        self.zoom = True
        self.drag = False
        self.client.SetEnableZoom(self.zoom)
        self.client.SetEnableDrag(self.drag)

    def OnDrag(self, event):
        """Enable dragging and disable zooming
        """
        self.zoom = False
        self.drag = True
        self.client.SetEnableDrag(self.drag)
        self.client.SetEnableZoom(self.zoom)

    def OnRedraw(self, event):
        """Redraw the plot window. Unzoom to original size
        """
        self.UpdateLabels()
        self.client.Reset()
        self.client.Redraw()

    def OnErase(self, event):
        """Erase the plot window
        """
        self.client.Clear()

    def SaveToFile(self, event):
        """Save plot to graphics file
        """
        self.client.SaveFile()

    def OnMouseLeftDown(self, event):
        self.SetStatusText(_("Left Mouse Down at Point:") +
                           " (%.4f, %.4f)" % self.client._getXY(event))
        event.Skip()  # allows plotCanvas OnMouseLeftDown to be called

    def OnMotion(self, event):
        """Indicate when mouse is outside the plot area
        """
        if self.client.GetEnablePointLabel() is True:
            # make up dict with info for the pointLabel
            # I've decided to mark the closest point on the closest curve
            dlst = self.client.GetClosestPoint(
                self.client._getXY(event), pointScaled=True)
            if dlst != []:  # returns [] if none
                curveNum, legend, pIndex, pointXY, scaledXY, distance = dlst
                # make up dictionary to pass to my user function (see
                # DrawPointLabel)
                mDataDict = {
                    "curveNum": curveNum,
                    "legend": legend,
                    "pIndex": pIndex,
                    "pointXY": pointXY,
                    "scaledXY": scaledXY}
                # pass dict to update the pointLabel
                self.client.UpdatePointLabel(mDataDict)
        event.Skip()  # go to next handler

    def PlotOptionsMenu(self, event):
        """Popup menu for plot and text options
        """
        point = wx.GetMousePosition()
        popt = wx.Menu()
        # Add items to the menu
        settext = wx.MenuItem(popt, wx.ID_ANY, _('Text settings'))
        popt.AppendItem(settext)
        self.Bind(wx.EVT_MENU, self.PlotText, settext)

        setgrid = wx.MenuItem(popt, wx.ID_ANY, _('Plot settings'))
        popt.AppendItem(setgrid)
        self.Bind(wx.EVT_MENU, self.PlotOptions, setgrid)

        # Popup the menu.  If an item is selected then its handler
        # will be called before PopupMenu returns.
        self.PopupMenu(popt)
        popt.Destroy()

    def NotFunctional(self):
        """Creates a 'not functional' message dialog
        """
        dlg = wx.MessageDialog(parent=self,
                               message=_('This feature is not yet functional'),
                               caption=_('Under Construction'),
                               style=wx.OK | wx.ICON_INFORMATION)
        dlg.ShowModal()
        dlg.Destroy()

    def _getPlotLabels(self):
        def log(txt):
            return "log( " + txt + " )"

        x = self.xlabel
        if self.properties['x-axis']['prop']['log']:
            x = log(x)

        y = self.ylabel
        if self.properties['y-axis']['prop']['log']:
            y = log(y)

        return x, y

    def OnPlotText(self, dlg):
        """Custom text settings for histogram plot.
        """
        self.ptitle = dlg.ptitle
        self.xlabel = dlg.xlabel
        self.ylabel = dlg.ylabel

        if self.plot:
            self.plot.setTitle(dlg.ptitle)

        self.OnRedraw(event=None)

    def UpdateLabels(self):
        x, y = self._getPlotLabels()

        self.client.SetFont(self.properties['font']['wxfont'])
        self.client.SetFontSizeTitle(
            self.properties['font']['prop']['titleSize'])
        self.client.SetFontSizeAxis(
            self.properties['font']['prop']['axisSize'])

        if self.plot:
            self.plot.setXLabel(x)
            self.plot.setYLabel(y)

    def PlotText(self, event):
        """Set custom text values for profile title and axis labels.
        """
        dlg = TextDialog(parent=self, id=wx.ID_ANY,
                         plottype=self.plottype,
                         title=_('Text settings'))

        btnval = dlg.ShowModal()
        if btnval == wx.ID_SAVE or btnval == wx.ID_OK or btnval == wx.ID_CANCEL:
            dlg.Destroy()

    def PlotOptions(self, event):
        """Set various profile options, including: line width, color,
        style; marker size, color, fill, and style; grid and legend
        options.  Calls OptDialog class.
        """

        dlg = OptDialog(parent=self, id=wx.ID_ANY,
                        plottype=self.plottype,
                        title=_('Plot settings'))
        btnval = dlg.ShowModal()

        if btnval == wx.ID_SAVE or btnval == wx.ID_OK or btnval == wx.ID_CANCEL:
            dlg.Destroy()
        self.Update()

    def PrintMenu(self, event):
        """Print options and output menu
        """
        point = wx.GetMousePosition()
        printmenu = wx.Menu()
        for title, handler in ((_("Page setup"), self.OnPageSetup),
                               (_("Print preview"), self.OnPrintPreview),
                               (_("Print display"), self.OnDoPrint)):
            item = wx.MenuItem(printmenu, wx.ID_ANY, title)
            printmenu.AppendItem(item)
            self.Bind(wx.EVT_MENU, handler, item)

        # Popup the menu.  If an item is selected then its handler
        # will be called before PopupMenu returns.
        self.PopupMenu(printmenu)
        printmenu.Destroy()

    def OnPageSetup(self, event):
        self.client.PageSetup()

    def OnPrintPreview(self, event):
        self.client.PrintPreview()

    def OnDoPrint(self, event):
        self.client.Printout()

    def OnQuit(self, event):
        self.Close(True)
