""" Models for representing top-level plot objects.

"""
from __future__ import absolute_import

from six import string_types
import warnings

from ..core.query import find
from ..core import validation
from ..core.validation.errors import REQUIRED_RANGE
from ..core.validation.warnings import (
    MISSING_RENDERERS, NO_DATA_RENDERERS, EMPTY_LAYOUT, MALFORMED_CATEGORY_LABEL,
    SNAPPED_TOOLBAR_ANNOTATIONS)
from ..core.enums import Location
from ..core.property_mixins import LineProps, TextProps, FillProps
from ..model import Model
from ..core.properties import (
    Bool, Int, String, Enum, Auto, Instance, Either,
    List, Dict, Include, Override, TitleProp)
from ..util.string import nice_join

from .annotations import Legend, Title
from .axes import Axis
from .glyphs import Glyph
from .grids import Grid
from .ranges import Range, FactorRange
from .renderers import Renderer, GlyphRenderer, DataRenderer, TileRenderer, DynamicImageRenderer
from .sources import DataSource, ColumnDataSource
from .tools import Tool, ToolEvents, Toolbar
from .layouts import LayoutDOM

from ..util.plot_utils import _list_attr_splat, _select_helper

# See all the way at the bottom of Plot for where this is used.
DEP_MSG_0_12_0 = """
    Plot property '%s' was deprecated in 0.12.0 and will be removed. Use '%s' instead.
    """

# We create an empty title by default
DEFAULT_TITLE = lambda: Title(text="")


class Plot(LayoutDOM):
    """ Model representing a plot, containing glyphs, guides, annotations.

    """

    def __init__(self, **kwargs):
        if "tool_events" not in kwargs:
            kwargs["tool_events"] = ToolEvents()

        if "toolbar" in kwargs and "logo" in kwargs:
            raise ValueError("Conflicing properties set on plot: toolbar, logo.")

        if "toolbar" in kwargs and "tools" in kwargs:
            raise ValueError("Conflicing properties set on plot: toolbar, tools.")

        if "toolbar" not in kwargs:
            tools = kwargs.pop('tools', [])
            logo = kwargs.pop('logo', 'normal')

            kwargs["toolbar"] = Toolbar(tools=tools, logo=logo)

        if "border_fill" in kwargs and "border_fill_color" in kwargs:
            raise ValueError("Conflicting properties set on plot: border_fill, border_fill_color.")

        if "background_fill" in kwargs and "background_fill_color" in kwargs:
            raise ValueError("Conflicting properties set on plot: background_fill, background_fill_color.")

        super(LayoutDOM, self).__init__(**kwargs)

    def select(self, *args, **kwargs):
        ''' Query this object and all of its references for objects that
        match the given selector.

        There are a few different ways to call the ``select`` method.
        The most general is to supply a JSON-like query dictionary as the
        single argument or as keyword arguments:

        Args:
            selector (JSON-like) : some sample text

        Keyword Arguments:
            kwargs : query dict key/values as keyword arguments

        For convenience, queries on just names can be made by supplying
        the ``name`` string as the single parameter:

        Args:
            name (str) : the name to query on

        Also queries on just type can be made simply by supplying the
        ``Model`` subclass as the single parameter:

        Args:
            type (Model) : the type to query on

        Returns:
            seq[Model]

        Examples:

            .. code-block:: python

                # These two are equivalent
                p.select({"type": HoverTool})
                p.select(HoverTool)

                # These two are also equivalent
                p.select({"name": "mycircle"})
                p.select("mycircle")

                # Keyword arguments can be supplied in place of selector dict
                p.select({"name": "foo", "type": HoverTool})
                p.select(name="foo", type=HoverTool)

        '''

        selector = _select_helper(args, kwargs)

        # Want to pass selector that is a dictionary
        return _list_attr_splat(find(self.references(), selector, {'plot': self}))

    def row(self, row, gridplot):
        ''' Return whether this plot is in a given row of a GridPlot.

        Args:
            row (int) : index of the row to test
            gridplot (GridPlot) : the GridPlot to check

        Returns:
            bool

        '''
        return self in gridplot.row(row)

    def column(self, col, gridplot):
        ''' Return whether this plot is in a given column of a GridPlot.

        Args:
            col (int) : index of the column to test
            gridplot (GridPlot) : the GridPlot to check

        Returns:
            bool

        '''
        return self in gridplot.column(col)

    def _axis(self, *sides):
        objs = []
        for s in sides:
            objs.extend(getattr(self, s, []))
        axis = [obj for obj in objs if isinstance(obj, Axis)]
        return _list_attr_splat(axis)

    @property
    def xaxis(self):
        """ Splattable list of :class:`~bokeh.models.axes.Axis` objects for the x dimension.

        """
        return self._axis("above", "below")

    @property
    def yaxis(self):
        """ Splattable list of :class:`~bokeh.models.axes.Axis` objects for the y dimension.

        """
        return self._axis("left", "right")

    @property
    def axis(self):
        """ Splattable list of :class:`~bokeh.models.axes.Axis` objects.

        """
        return _list_attr_splat(self.xaxis + self.yaxis)

    @property
    def legend(self):
        """Splattable list of :class:`~bokeh.models.annotations.Legend` objects.

        """
        legends = [obj for obj in self.renderers if isinstance(obj, Legend)]
        return _list_attr_splat(legends)

    def _grid(self, dimension):
        grid = [obj for obj in self.renderers if isinstance(obj, Grid) and obj.dimension==dimension]
        return _list_attr_splat(grid)

    @property
    def xgrid(self):
        """ Splattable list of :class:`~bokeh.models.grids.Grid` objects for the x dimension.

        """
        return self._grid(0)

    @property
    def ygrid(self):
        """ Splattable list of :class:`~bokeh.models.grids.Grid` objects for the y dimension.

        """
        return self._grid(1)

    @property
    def grid(self):
        """ Splattable list of :class:`~bokeh.models.grids.Grid` objects.

        """
        return _list_attr_splat(self.xgrid + self.ygrid)

    @property
    def tools(self):
        return self.toolbar.tools

    @tools.setter
    def tools(self, tools):
        self.toolbar.tools = tools


    def add_layout(self, obj, place='center'):
        ''' Adds an object to the plot in a specified place.

        Args:
            obj (Renderer) : the object to add to the Plot
            place (str, optional) : where to add the object (default: 'center')
                Valid places are: 'left', 'right', 'above', 'below', 'center'.

        Returns:
            None

        '''
        valid_places = ['left', 'right', 'above', 'below', 'center']
        if place not in valid_places:
            raise ValueError(
                "Invalid place '%s' specified. Valid place values are: %s" % (place, nice_join(valid_places))
            )

        if hasattr(obj, 'plot'):
            if obj.plot is not None:
                raise ValueError("object to be added already has 'plot' attribute set")
            obj.plot = self

        self.renderers.append(obj)

        if place is not 'center':
            getattr(self, place).append(obj)

    def add_tools(self, *tools):
        ''' Adds an tools to the plot.

        Args:
            *tools (Tool) : the tools to add to the Plot

        Returns:
            None

        '''
        if not all(isinstance(tool, Tool) for tool in tools):
            raise ValueError("All arguments to add_tool must be Tool subclasses.")

        for tool in tools:
            if tool.plot is not None:
                raise ValueError("tool %s to be added already has 'plot' attribute set" % tool)
            tool.plot = self
            if hasattr(tool, 'overlay'):
                self.renderers.append(tool.overlay)
            self.toolbar.tools.append(tool)

    def add_glyph(self, source_or_glyph, glyph=None, **kw):
        ''' Adds a glyph to the plot with associated data sources and ranges.

        This function will take care of creating and configuring a Glyph object,
        and then add it to the plot's list of renderers.

        Args:
            source (DataSource) : a data source for the glyphs to all use
            glyph (Glyph) : the glyph to add to the Plot


        Keyword Arguments:
            Any additional keyword arguments are passed on as-is to the
            Glyph initializer.

        Returns:
            Glyph

        '''
        if glyph is not None:
            source = source_or_glyph
        else:
            source, glyph = ColumnDataSource(), source_or_glyph

        if not isinstance(source, DataSource):
            raise ValueError("'source' argument to add_glyph() must be DataSource subclass")

        if not isinstance(glyph, Glyph):
            raise ValueError("'glyph' argument to add_glyph() must be Glyph subclass")

        g = GlyphRenderer(data_source=source, glyph=glyph, **kw)
        self.renderers.append(g)
        return g

    def add_tile(self, tile_source, **kw):
        '''Adds new TileRenderer into the Plot.renderers

        Args:
            tile_source (TileSource) : a tile source instance which contain tileset configuration

        Keyword Arguments:
            Additional keyword arguments are passed on as-is to the tile renderer

        Returns:
            TileRenderer : TileRenderer

        '''
        tile_renderer = TileRenderer(tile_source=tile_source, **kw)
        self.renderers.append(tile_renderer)
        return tile_renderer

    def add_dynamic_image(self, image_source, **kw):
        '''Adds new DynamicImageRenderer into the Plot.renderers

        Args:
            image_source (ImageSource) : a image source instance which contain image configuration

        Keyword Arguments:
            Additional keyword arguments are passed on as-is to the dynamic image renderer

        Returns:
            DynamicImageRenderer : DynamicImageRenderer

        '''
        image_renderer = DynamicImageRenderer(image_source=image_source, **kw)
        self.renderers.append(image_renderer)
        return image_renderer

    @validation.error(REQUIRED_RANGE)
    def _check_required_range(self):
        missing = []
        if not self.x_range: missing.append('x_range')
        if not self.y_range: missing.append('y_range')
        if missing:
            return ", ".join(missing) + " [%s]" % self

    @validation.warning(MISSING_RENDERERS)
    def _check_missing_renderers(self):
        if len(self.renderers) == 0:
            return str(self)

    @validation.warning(NO_DATA_RENDERERS)
    def _check_no_data_renderers(self):
        if len(self.select(DataRenderer)) == 0:
            return str(self)

    @validation.warning(MALFORMED_CATEGORY_LABEL)
    def _check_colon_in_category_label(self):
        if not self.x_range: return
        if not self.y_range: return

        broken = []

        for range_name in ['x_range', 'y_range']:
            category_range = getattr(self, range_name)
            if not isinstance(category_range, FactorRange): continue

            for value in category_range.factors:
                if not isinstance(value, string_types): break
                if ':' in value:
                    broken.append((range_name, value))
                    break

        if broken:
            field_msg = ' '.join('[range:%s] [first_value: %s]' % (field, value)
                                 for field, value in broken)
            return '%s [renderer: %s]' % (field_msg, self)

    @validation.warning(SNAPPED_TOOLBAR_ANNOTATIONS)
    def _check_snapped_toolbar_and_axis(self):
        if not self.toolbar_sticky: return
        if self.toolbar_location is None: return

        objs = getattr(self, self.toolbar_location)
        if len(objs) > 0:
            return str(self)

    __deprecated_attributes__ = (
        'background_fill', 'border_fill', 'logo', 'tools', 'responsive',
        'title_text_baseline', 'title_text_align', 'title_text_alpha', 'title_text_color',
        'title_text_font_style', 'title_text_font_size', 'title_text_font', 'title_standoff'
    )

    x_range = Instance(Range, help="""
    The (default) data range of the horizontal dimension of the plot.
    """)

    y_range = Instance(Range, help="""
    The (default) data range of the vertical dimension of the plot.
    """)

    x_mapper_type = Either(Auto, String, help="""
    What kind of mapper to use to convert x-coordinates in data space
    into x-coordinates in screen space.

    Typically this can be determined automatically, but this property
    can be useful to, e.g., show datetime values as floating point
    "seconds since epoch" instead of formatted dates.
    """)

    y_mapper_type = Either(Auto, String, help="""
    What kind of mapper to use to convert y-coordinates in data space
    into y-coordinates in screen space.

    Typically this can be determined automatically, but this property
    can be useful to, e.g., show datetime values as floating point
    "seconds since epoch" instead of formatted dates
    """)

    extra_x_ranges = Dict(String, Instance(Range), help="""
    Additional named ranges to make available for mapping x-coordinates.

    This is useful for adding additional axes.
    """)

    extra_y_ranges = Dict(String, Instance(Range), help="""
    Additional named ranges to make available for mapping y-coordinates.

    This is useful for adding additional axes.
    """)

    hidpi = Bool(default=True, help="""
    Whether to use HiDPI mode when available.
    """)

    title = TitleProp(default=DEFAULT_TITLE, help="""
    A title for the plot. Can be a text string or a Title annotation. Default is Title(text="").
    """)

    title_location = Enum(Location, default="above", help="""
    Where the title will be located. Titles on the left or right side
    will be rotated.
    """)

    outline_props = Include(LineProps, help="""
    The %s for the plot border outline.
    """)

    outline_line_color = Override(default="#e5e5e5")

    renderers = List(Instance(Renderer), help="""
    A list of all renderers for this plot, including guides and annotations
    in addition to glyphs and markers.

    This property can be manipulated by hand, but the ``add_glyph`` and
    ``add_layout`` methods are recommended to help make sure all necessary
    setup is performed.
    """)

    toolbar = Instance(Toolbar, help="""
        The toolbar associated with this plot which holds all the tools.

        The toolbar is automatically created with the plot.
    """)

    toolbar_location = Enum(Location, default="right", help="""
    Where the toolbar will be located. If set to None, no toolbar
    will be attached to the plot.
    """)

    toolbar_sticky = Bool(default=True, help="""
    Stick the toolbar to the edge of the plot. Default: True. If False,
    the toolbar will be outside of the axes, titles etc.
    """)

    tool_events = Instance(ToolEvents, help="""
    A ToolEvents object to share and report tool events.
    """)

    left = List(Instance(Renderer), help="""
    A list of renderers to occupy the area to the left of the plot.
    """)

    right = List(Instance(Renderer), help="""
    A list of renderers to occupy the area to the right of the plot.
    """)

    above = List(Instance(Renderer), help="""
    A list of renderers to occupy the area above of the plot.
    """)

    below = List(Instance(Renderer), help="""
    A list of renderers to occupy the area below of the plot.
    """)

    plot_height = Int(600, help="""
    Total height of the entire plot (including any axes, titles,
    border padding, etc.)

    .. note::
        This corresponds directly to the height of the HTML
        canvas that will be used.

    """)

    plot_width = Int(600, help="""
    Total width of the entire plot (including any axes, titles,
    border padding, etc.)

    .. note::
        This corresponds directly to the width of the HTML
        canvas that will be used.

    """)

    background_props = Include(FillProps, help="""
    The %s for the plot background style.
    """)

    background_fill_color = Override(default='#ffffff')

    border_props = Include(FillProps, help="""
    The %s for the plot border style.
    """)

    border_fill_color = Override(default='#ffffff')

    min_border_top = Int(help="""
    Minimum size in pixels of the padding region above the top of the
    central plot region.

    .. note::
        This is a *minimum*. The padding region may expand as needed to
        accommodate titles or axes, etc.

    """)

    min_border_bottom = Int(help="""
    Minimum size in pixels of the padding region below the bottom of
    the central plot region.

    .. note::
        This is a *minimum*. The padding region may expand as needed to
        accommodate titles or axes, etc.

    """)

    min_border_left = Int(help="""
    Minimum size in pixels of the padding region to the left of
    the central plot region.

    .. note::
        This is a *minimum*. The padding region may expand as needed to
        accommodate titles or axes, etc.

    """)

    min_border_right = Int(help="""
    Minimum size in pixels of the padding region to the right of
    the central plot region.

    .. note::
        This is a *minimum*. The padding region may expand as needed to
        accommodate titles or axes, etc.

    """)

    min_border = Int(5, help="""
    A convenience property to set all all the ``min_border_X`` properties
    to the same value. If an individual border property is explicitly set,
    it will override ``min_border``.
    """)

    h_symmetry = Bool(True, help="""
    Whether the total horizontal padding on both sides of the plot will
    be made equal (the left or right padding amount, whichever is larger).
    """)

    v_symmetry = Bool(False, help="""
    Whether the total vertical padding on both sides of the plot will
    be made equal (the top or bottom padding amount, whichever is larger).
    """)

    lod_factor = Int(10, help="""
    Decimation factor to use when applying level-of-detail decimation.
    """)

    lod_threshold = Int(2000, help="""
    A number of data points, above which level-of-detail downsampling may
    be performed by glyph renderers. Set to ``None`` to disable any
    level-of-detail downsampling.
    """)

    lod_interval = Int(300, help="""
    Interval (in ms) during which an interactive tool event will enable
    level-of-detail downsampling.
    """)

    lod_timeout = Int(500, help="""
    Timeout (in ms) for checking whether interactive tool events are still
    occurring. Once level-of-detail mode is enabled, a check is made every
    ``lod_timeout`` ms. If no interactive tool events have happened,
    level-of-detail mode is disabled.
    """)

    webgl = Bool(False, help="""
    Whether WebGL is enabled for this plot. If True, the glyphs that
    support this will render via WebGL instead of the 2D canvas.
    """)

    #
    # DEPRECATED PROPERTIES
    #

    @property
    def responsive(self):
        warnings.warn(DEP_MSG_0_12_0 % ('responsive', 'Plot.sizing_mode'))
        return self.sizing_mode != "fixed"

    @responsive.setter
    def responsive(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('responsive', 'Plot.sizing_mode'))
        warnings.warn("""
        The 'responsive' property has been deprecated in 0.12.0. It has been
        replaced by 'sizing_mode' which accepts one of five modes:

            fixed, scale_width, scale_height, scale_both, stretch_both

        'responsive = False' is the equivalent of 'sizing_mode = "fixed"'

        'responsive = True' is the equivalent of 'sizing_mode = "scale_width"'
        """)
        if value is True:
            self.sizing_mode = "scale_width"
        elif value is False:
            self.sizing_mode = "fixed"
        else:
            raise ValueError("Plot.responsive only accepts True or False, got: %r" % value)

    @property
    def background_fill(self):
        warnings.warn(
            """
            Plot property 'background_fill' was deprecated in Bokeh
            0.11.0 and will be removed. Use 'background_fill_color' instead.
            """)
        return self.background_fill_color

    @background_fill.setter
    def background_fill(self, color):
        warnings.warn(
            """
            Plot property 'background_fill' was deprecated in Bokeh
            0.11.0 and will be removed. Use 'background_fill_color' instead.
            """)
        self.background_fill_color = color

    @property
    def border_fill(self):
        warnings.warn(
            """
            Plot property 'border_fill' was deprecated in Bokeh 0.11.0 and
            will be removed. Use 'border_fill_color' instead.
            """)
        return self.border_fill_color

    @border_fill.setter
    def border_fill(self, color):
        warnings.warn(
            """
            Plot property 'border_fill' was deprecated in Bokeh 0.11.0 and
            will be removed. Use 'border_fill_color' instead.
            """)
        self.border_fill_color = color

    @property
    def logo(self):
        warnings.warn(DEP_MSG_0_12_0 % ('logo', 'Plot.toolbar.logo'))
        return self.toolbar.logo

    @logo.setter
    def logo(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('logo', 'Plot.toolbar.logo'))
        self.toolbar.logo = value

    @property
    def title_standoff(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_standoff', 'Plot.title.offset'))
        return self.title.offset

    @title_standoff.setter
    def title_standoff(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_standoff', 'Plot.title.offset'))
        self.title.offset = value

    @property
    def title_text_font(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_font', 'Plot.title.text_font'))
        return self.title.text_font

    @title_text_font.setter
    def title_text_font(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_font', 'Plot.title.text_font'))
        self.title.text_font = value

    @property
    def title_text_font_size(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_font_size', 'Plot.title.text_font_size'))
        return self.title.text_font_size

    @title_text_font_size.setter
    def title_text_font_size(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_font_size', 'Plot.title.text_font_size'))
        self.title.text_font_size = value

    @property
    def title_text_font_style(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_font_style', 'Plot.title.text_font_style'))
        return self.title.text_font_style

    @title_text_font_style.setter
    def title_text_font_style(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_font_style', 'Plot.title.text_font_style'))
        self.title.text_font_style = value

    @property
    def title_text_color(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_color', 'Plot.title.text_color'))
        return self.title.text_color

    @title_text_color.setter
    def title_text_color(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_color', 'Plot.title.text_color'))
        self.title.text_color = value

    @property
    def title_text_alpha(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_alpha', 'Plot.title.text_alpha'))
        return self.title.text_alpha

    @title_text_alpha.setter
    def title_text_alpha(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_alpha', 'Plot.title.text_alpha'))
        self.title.text_alpha = value

    @property
    def title_text_align(self):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_align', 'Plot.title.align'))
        warnings.warn("""``title_text_align`` was deprecated in 0.12.0 and is no longer
        available on the new Title object. There is a new ``plot.title.title_align`` which is
        similar but not exactly the same. The new ``title_align`` both positions and aligns the title.
        If you need the exact ``title_text_align`` behavior, please add a title by creating a
        Label (``bokeh.models.annotations.Label``) and manually adding
        it to the plot by doing, for example ``plot.add_layout(Label(), 'above')``.
        """)
        return self.title.align

    @title_text_align.setter
    def title_text_align(self, value):
        warnings.warn(DEP_MSG_0_12_0 % ('title_text_align', 'Plot.title.align'))
        warnings.warn("""``title_text_align`` was deprecated in 0.12.0 and is no longer
        available on the new Title object. There is a new ``plot.title.title_align`` which is
        similar but not exactly the same. The new ``title_align`` both positions and aligns the title.
        If you need the exact ``title_text_align`` behavior, please add a title by creating a
        Label (``bokeh.models.annotations.Label``) and manually adding
        it to the plot by doing, for example ``plot.add_layout(Label(), 'above')``.
        """)
        self.title.align = value

    @property
    def title_text_baseline(self):
        warnings.warn("""title_text_baseline was deprecated in 0.12.0 and is no longer
        available on the new Title object. If you need to alter the text_baseline, please
        add a title by creating a Label (``bokeh.models.annotations.Label``) and manually adding
        it to the plot by doing, for example ``plot.add_layout(Label(), 'above')``.
        """)
        return None

    @title_text_baseline.setter
    def title_text_baseline(self, value):
        warnings.warn("""title_text_baseline was deprecated in 0.12.0 and is no longer
        available on the new Title object. If you need to alter the text_baseline, please
        add a title by creating a Label (``bokeh.models.annotations.Label``) and manually adding
        it to the plot by doing, for example ``plot.add_layout(Label(), 'above')``.
        """)
