178 lines
5.1 KiB
Python
178 lines
5.1 KiB
Python
##############################################################################
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#
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# Copyright (c) 2005-2006 TINY SPRL. (http://tiny.be) All Rights Reserved.
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#
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# WARNING: This program as such is intended to be used by professional
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# programmers who take the whole responsability of assessing all potential
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# consequences resulting from its eventual inadequacies and bugs
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# End users who are looking for a ready-to-use solution with commercial
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# garantees and support are strongly adviced to contract a Free Software
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# Service Company
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#
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# This program is Free Software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License
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# as published by the Free Software Foundation; either version 2
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# of the License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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#
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##############################################################################
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import ir
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import os, time
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import netsvc
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import random
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import StringIO
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import tools
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import pooler
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from report.render import render
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from report.interface import report_int
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from pychart import *
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theme.use_color = 1
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#theme.scale = 2
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random.seed(0)
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class external_pdf(render):
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def __init__(self, pdf):
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render.__init__(self)
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self.pdf = pdf
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self.output_type='pdf'
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def _render(self):
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return self.pdf
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class report_custom(report_int):
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def create(self, cr, uid, ids, datas, context={}):
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assert len(ids), 'You should provide some ids!'
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responsible_data = {}
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responsible_names = {}
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data = []
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minbenef = 999999999999999999999
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maxbenef = 0
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cr.execute('select probability, planned_revenue, planned_cost, user_id, res_users.name as name from crm_case left join res_users on (crm_case.user_id=res_users.id) where crm_case.id in ('+','.join(map(str,ids))+') order by user_id')
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res = cr.dictfetchall()
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for row in res:
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proba = row['probability'] or 0
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cost = row['planned_cost'] or 0
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revenue = row['planned_revenue'] or 0
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userid = row['user_id'] or 0
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benefit = revenue - cost
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if benefit > maxbenef:
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maxbenef = benefit
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if benefit < minbenef:
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minbenef = benefit
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tuple = (proba * 100, benefit)
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responsible_data.setdefault(userid, [])
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responsible_data[userid].append(tuple)
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tuple = (proba * 100, cost, benefit)
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data.append(tuple)
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responsible_names[userid] = (row['name'] or '/').replace('/','//')
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minbenef -= maxbenef * 0.05
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maxbenef *= 1.2
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ratio = 0.5
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minmaxdiff2 = (maxbenef - minbenef)/2
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for l in responsible_data.itervalues():
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for i in range(len(l)):
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percent, benef = l[i]
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proba = percent/100
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current_ratio = 1 + (ratio-1) * proba
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newbenef = minmaxdiff2 + ((benef - minbenef - minmaxdiff2) * current_ratio)
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l[i] = (percent, newbenef)
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#TODO:
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#-group by "categorie de probabilites ds graphe du haut"
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#-echelle variable
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pdf_string = StringIO.StringIO()
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can = canvas.init(fname=pdf_string, format='pdf')
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chart_object.set_defaults(line_plot.T, line_style=None)
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xaxis = axis.X(label=None, format="%d%%", tic_interval=20)
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yaxis = axis.Y()
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ar = area.T(
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size = (300,200),
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y_grid_interval = 10000,
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y_grid_style=None,
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x_range = (0,100),
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y_range = (minbenef, maxbenef),
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x_axis = xaxis,
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y_axis = None,
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legend = legend.T()
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)
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for k, d in responsible_data.iteritems():
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fill = fill_style.Plain(bgcolor=color.T(r=random.random(), g=random.random(), b=random.random()))
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tick = tick_mark.Square(size=6, fill_style=fill)
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ar.add_plot(line_plot.T(label=responsible_names[k], data=d, tick_mark=tick))
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ar.draw(can)
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# second graph (top right)
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ar = area.T(legend = legend.T(),
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size = (200,100),
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loc=(100,250),
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x_grid_interval = lambda min, max: [40,60,80,100],
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x_grid_style=line_style.gray70_dash1,
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x_range = (33, 100),
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x_axis = axis.X(label=None, minor_tic_interval=lambda min,max: [50, 70, 90], format=lambda x: ""),
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y_axis=axis.Y(label="Planned amounts"))
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bar_plot.fill_styles.reset();
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plot1=bar_plot.T(label="Cost", data=data, fill_style=fill_style.red)
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plot2=bar_plot.T(label="Revenue", data=data, hcol=2, stack_on = plot1, fill_style=fill_style.blue)
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ar.add_plot(plot1, plot2)
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ar.draw(can)
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# diagonal "pipeline" lines
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can.line(line_style.black, 0, 200, 300, 150)
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can.line(line_style.black, 0, 0, 300, 50)
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# vertical lines
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ls = line_style.T(width=0.4, color=color.gray70, dash=(2,2))
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for x in range(120, 300, 60):
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can.line(ls, x, 0, x, 250)
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# draw arrows to the right
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a = arrow.fat1
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for y in range(60,150,10):
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a.draw([(285,y), (315,y)], can=can)
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# close canvas so that the file is written to "disk"
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can.close()
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self.obj = external_pdf(pdf_string.getvalue())
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self.obj.render()
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pdf_string.close()
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return (self.obj.pdf, 'pdf')
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report_custom('report.crm.case')
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