web/views/plots.py
author Sylvain Thénault <sylvain.thenault@logilab.fr>
Wed, 22 Jun 2011 18:53:38 +0200
changeset 7553 935423529f45
parent 7460 2455cdbeadca
child 7569 02c338197322
permissions -rw-r--r--
[datafeed cw parser] refactor: split logic that was in the parser into: * an "item builder" component, turning an etree xml node into a specific python dictionnary representing an entity * "action" components, selected given an entity, a relation and its role in the relation, and responsible to link the entity to given related items (eg dictionnary) This changes make it easy to add new action or to override existing one's behaviour according to the entity, the relation, etc... Also refactor the xml view so one can also override what's included in the tag used to mark the entity as used by a relation, hopefully allowing to reduce the number of http requests needed for a full datafeed import.

# copyright 2003-2011 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
#
# This file is part of CubicWeb.
#
# CubicWeb is free software: you can redistribute it and/or modify it under the
# terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 2.1 of the License, or (at your option)
# any later version.
#
# CubicWeb is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License along
# with CubicWeb.  If not, see <http://www.gnu.org/licenses/>.
"""basic plot views"""

__docformat__ = "restructuredtext en"
_ = unicode

from logilab.common.date import datetime2ticks
from logilab.mtconverter import xml_escape

from cubicweb.utils import UStringIO, json_dumps
from cubicweb.appobject import objectify_selector
from cubicweb.selectors import multi_columns_rset
from cubicweb.web.views import baseviews

@objectify_selector
def all_columns_are_numbers(cls, req, rset=None, *args, **kwargs):
    """accept result set with at least one line and two columns of result
    all columns after second must be of numerical types"""
    for etype in rset.description[0]:
        if etype not in ('Int', 'BigInt', 'Float'):
            return 0
    return 1

@objectify_selector
def second_column_is_number(cls, req, rset=None, *args, **kwargs):
    etype = rset.description[0][1]
    if etype not  in ('Int', 'BigInt', 'Float'):
        return 0
    return 1

@objectify_selector
def columns_are_date_then_numbers(cls, req, rset=None, *args, **kwargs):
    etypes = rset.description[0]
    if etypes[0] not in ('Date', 'Datetime', 'TZDatetime'):
        return 0
    for etype in etypes[1:]:
        if etype not in ('Int', 'BigInt', 'Float'):
            return 0
    return 1


def filterout_nulls(abscissa, plot):
    filtered = []
    for x, y in zip(abscissa, plot):
        if x is None or y is None:
            continue
        filtered.append( (x, y) )
    return sorted(filtered)

class PlotWidget(object):
    # XXX refactor with cubicweb.web.views.htmlwidgets.HtmlWidget
    def _initialize_stream(self, w=None):
        if w:
            self.w = w
        else:
            self._stream = UStringIO()
            self.w = self._stream.write

    def render(self, *args, **kwargs):
        w = kwargs.pop('w', None)
        self._initialize_stream(w)
        self._render(*args, **kwargs)
        if w is None:
            return self._stream.getvalue()

class FlotPlotWidget(PlotWidget):
    """PlotRenderer widget using Flot"""
    onload = u"""
var fig = jQuery("#%(figid)s");
if (fig.attr('cubicweb:type') != 'prepared-plot') {
    %(plotdefs)s
    jQuery.plot(jQuery("#%(figid)s"), [%(plotdata)s],
        {points: {show: true},
         lines: {show: true},
         grid: {hoverable: true},
         xaxis: {mode: %(mode)s}});
    jQuery("#%(figid)s").bind("plothover", onPlotHover);
    fig.attr('cubicweb:type','prepared-plot');
}
"""

    def __init__(self, labels, plots, timemode=False):
        self.labels = labels
        self.plots = plots # list of list of couples
        self.timemode = timemode

    def dump_plot(self, plot):
        # XXX for now, the only way that we have to customize properly
        #     datetime labels on tooltips is to insert an additional column
        #     cf. function onPlotHover in cubicweb.flot.js
        if self.timemode:
            plot = [(datetime2ticks(x), y, datetime2ticks(x)) for x, y in plot]
        return json_dumps(plot)

    def _render(self, req, width=500, height=400):
        if req.ie_browser():
            req.add_js('excanvas.js')
        req.add_js(('jquery.flot.js', 'cubicweb.flot.js'))
        figid = u'figure%s' % req.varmaker.next()
        plotdefs = []
        plotdata = []
        self.w(u'<div id="%s" style="width: %spx; height: %spx;"></div>' %
               (figid, width, height))
        for idx, (label, plot) in enumerate(zip(self.labels, self.plots)):
            plotid = '%s_%s' % (figid, idx)
            plotdefs.append('var %s = %s;' % (plotid, self.dump_plot(plot)))
            # XXX ugly but required in order to not crash my demo
            plotdata.append("{label: '%s', data: %s}" % (label.replace(u'&', u''), plotid))
        req.html_headers.add_onload(self.onload %
                                    {'plotdefs': '\n'.join(plotdefs),
                                     'figid': figid,
                                     'plotdata': ','.join(plotdata),
                                     'mode': self.timemode and "'time'" or 'null'})


class PlotView(baseviews.AnyRsetView):
    __regid__ = 'plot'
    title = _('generic plot')
    __select__ = multi_columns_rset() & all_columns_are_numbers()
    timemode = False
    paginable = False

    def call(self, width=500, height=400):
        # prepare data
        rqlst = self.cw_rset.syntax_tree()
        # XXX try to make it work with unions
        varnames = [var.name for var in rqlst.children[0].get_selected_variables()][1:]
        abscissa = [row[0] for row in self.cw_rset]
        plots = []
        nbcols = len(self.cw_rset.rows[0])
        for col in xrange(1, nbcols):
            data = [row[col] for row in self.cw_rset]
            plots.append(filterout_nulls(abscissa, data))
        plotwidget = FlotPlotWidget(varnames, plots, timemode=self.timemode)
        plotwidget.render(self._cw, width, height, w=self.w)


class TimeSeriePlotView(PlotView):
    __select__ = multi_columns_rset() & columns_are_date_then_numbers()
    timemode = True


try:
    from GChartWrapper import Pie, Pie3D
except ImportError:
    pass
else:

    class PieChartWidget(PlotWidget):
        def __init__(self, labels, values, pieclass=Pie, title=None):
            self.labels = labels
            self.values = values
            self.pieclass = pieclass
            self.title = title

        def _render(self, width=None, height=None):
            piechart = self.pieclass(self.values)
            piechart.label(*self.labels)
            if width is not None:
                height = height or width
                piechart.size(width, height)
            if self.title:
                piechart.title(self.title)
            self.w(u'<img src="%s" />' % xml_escape(piechart.url))

    class PieChartView(baseviews.AnyRsetView):
        __regid__ = 'piechart'
        pieclass = Pie
        paginable = False

        __select__ = multi_columns_rset() & second_column_is_number()

        def _guess_vid(self, row):
            etype = self.cw_rset.description[row][0]
            if self._cw.vreg.schema.eschema(etype).final:
                return 'final'
            return 'textincontext'

        def call(self, title=None, width=None, height=None):
            labels = []
            values = []
            for rowidx, (_, value) in enumerate(self.cw_rset):
                if value is not None:
                    vid = self._guess_vid(rowidx)
                    label = '%s: %s' % (self._cw.view(vid, self.cw_rset, row=rowidx, col=0),
                                        value)
                    labels.append(label.encode(self._cw.encoding))
                    values.append(value)
            pie = PieChartWidget(labels, values, pieclass=self.pieclass,
                                 title=title)
            if width is not None:
                height = height or width
            pie.render(width, height, w=self.w)


    class PieChart3DView(PieChartView):
        __regid__ = 'piechart3D'
        pieclass = Pie3D