seems to me a nice "impaginator" working off reportlab's pdfgen.canvas.
On Saturday, September 22, 2012 5:35:59 PM UTC+2, Massimo Di Pierro wrote:
>
> I am looking at the source code. Is this really one single file
> (pollyreports.py)? I cannot find a single import in there and I cannot find
> the word "pdf" in there either. Is that really the files that generates the
> PDF?
>
> On Saturday, 22 September 2012 07:21:41 UTC-5, Jose wrote:
>>
>> Hi
>>
>> This is PollyReport [1] y [2].
>>
>> You can use downloading PollyReport.py and copying the file to the
>> directory site-packages web2py or installed directly on the system.
>>
>> This is a small example based on the author's tutorial:
>>
>> Model
>>
>> tb_tiposclientes = db.define_table('tiposclientes',
>> Field('tipo', length=10),
>> format='%(tipo)s'
>> )
>>
>> tb_clientes = db.define_table('clientes',
>> Field('tipo', tb_tiposclientes),
>> Field('nors', length=50),
>> Field('domicilio'),
>> format='%(nors)s'
>> )
>>
>> tb_ventas = db.define_table('ventas',
>> Field('fecha', 'date'),
>> Field('cliente', tb_clientes),
>> Field('total', 'double'),
>> )
>>
>> if db(tb_clientes).isempty():
>> from gluon.contrib.populate import populate
>> tb_tiposclientes.insert(tipo='AAAA')
>> tb_tiposclientes.insert(tipo='BBBB')
>> tb_tiposclientes.insert(tipo='CCCC')
>> populate(tb_clientes,12)
>> populate(tb_ventas,100)
>>
>>
>>
>> class Ventas(object):
>> def iva(self):
>> return self.ventas.total*0.21
>> tb_ventas.virtualfields.append(Ventas())
>>
>>
>> Controlller
>>
>> import os
>> from reportlab.pdfgen.canvas import Canvas
>> from reportlab.lib.pagesizes import landscape, portrait, A4, A5
>> from PollyReports import *
>>
>> def ventas():
>> import os
>> import urllib2
>> #import urlparse
>> from cStringIO import StringIO
>> from reportlab.lib.utils import ImageReader
>>
>> rel_tipo = (tb_clientes.tipo==tb_tiposclientes.id)
>> rel_cliente = (tb_ventas.cliente==tb_clientes.id)
>>
>> data = db(rel_tipo & rel_cliente).select(
>> tb_tiposclientes.tipo,
>> tb_clientes.nors,
>> tb_ventas.fecha,
>> tb_ventas.total,
>> orderby=[tb_tiposclientes.tipo|tb_clientes.nors]
>> ).as_list()
>>
>>
>> rpt = Report(data)
>>
>> tiposclientes_tipo = lambda x: x['tiposclientes']['tipo']
>> clientes_nors = lambda x: x['clientes']['nors']
>> ventas_total = lambda x: x['ventas']['total']
>> ventas_iva = lambda x: x['ventas']['iva']
>> ventas_fecha = lambda x: x['ventas']['fecha']
>>
>> data = urllib2.urlopen('
>> http://www.python.org/images/python-logo.gif').read()
>> buffer = StringIO(data)
>> image = ImageReader(buffer)
>>
>> #Titulo
>> rpt.titleband = Band([
>> Element((300, 0), ("Times-Bold", 26), text = "Informe de Ventas",
>> align="center"),
>> Element((300, 25), ("Times-Bold", 18), text = "Período
>> 2010-2012", align="center"),
>> #Image((36, 0), 120, 43, text='/home/jose/borro/freebsd.jpg'),
>>
>> Image((36, 0), 120, 43, text=image),
>> ])
>>
>> #Cabecera de página
>> rpt.pageheader = Band([
>> Element((36, 0), ("Times-Bold", 20), text = "Ventas"),
>> Element((36, 24), ("Helvetica", 12), text = "Fecha"),
>> Element((100, 24), ("Helvetica", 12), text = "Nombre o Razón
>> Social"),
>> Element((500, 24), ("Helvetica", 12), text = "IVA", align =
>> "right"),
>> Element((600, 24), ("Helvetica", 12), text = "Total", align =
>> "right"),
>> Rule((36, 42), 7.5*75, thickness = 2),
>> ])
>>
>> #Cabecera de grupo (se agrupará por nombre de cliente)
>> rpt.groupheaders = [
>> #Agrupo primero por tipo de cliente
>> Band([
>> Rule((36, 20), 7.5*72),
>> Element((36, 4), ("Helvetica-Bold", 13), getvalue =
>> tiposclientes_tipo, format = lambda x: "Clientes tipo %s" % x),
>> ],
>> getvalue = tiposclientes_tipo
>> ),
>>
>> #y luego por nombre de cliente
>> Band([
>> Rule((36, 20), 7.5*72),
>> Element((36, 4), ("Helvetica-Bold", 12), getvalue =
>> clientes_nors),
>> ],
>> getvalue = clientes_nors
>> )
>> ]
>>
>> #Pie de grupo (se sumariza por cliente)
>> rpt.groupfooters = [
>> #sumarizo por nombre de cliente
>> Band([
>> Rule((500, 4), 100),
>> Element((36, 4), ("Helvetica-Bold", 12), getvalue =
>> clientes_nors, format = lambda x: "Total de %s" % x),
>> SumElement((600, 4), ("Helvetica-Bold", 12), getvalue =
>> ventas_total, align = "right", format=lambda x:'$%0.2f'%x),
>> ],
>> getvalue = clientes_nors,
>> ),
>>
>> #sumarizo por tipo de cliente
>> Band([
>> Rule((500, 4), 100),
>> Element((36, 4), ("Helvetica-Bold", 13), getvalue =
>> tiposclientes_tipo, format = lambda x: "Total para clientes tipo %s" % x),
>> SumElement((600, 4), ("Helvetica-Bold", 12), getvalue =
>> ventas_total, align = "right", format=lambda x:'$%0.2f'%x),
>> ],
>> getvalue = tiposclientes_tipo,
>> #Inserto una nueva página luego de sumarizar
>> newpageafter = True,
>> ),
>> ]
>>
>> #Detalle
>> rpt.detailband = Band([
>> Element((36, 0), ("Helvetica", 10), getvalue = ventas_fecha),
>>
>> Element((500, 0), ("Helvetica", 10), getvalue = ventas_iva, align
>> = "right", format=lambda x:'$%0.2f'%x),
>> Element((600, 0), ("Helvetica", 10), getvalue = ventas_total,
>> align = "right", format=lambda x:'$%0.2f'%x),
>> ])
>>
>> #Total de ventas
>> rpt.reportfooter = Band([
>> Rule((450, 4), 72),
>> Element((400, 4), ("Helvetica-Bold", 12), text = "Total General"),
>> SumElement((600, 4), ("Helvetica-Bold", 12), getvalue =
>> ventas_total, align = "right", format=lambda x:'$%0.2f'%x),
>> ])
>>
>> #Pie de página
>> rpt.pagefooter = Band([
>> Element((72*8, 0), ("Times-Bold", 18), text = "Ejemplo de Pie de
>> Página", align = "right"),
>> Element((36, 16), ("Helvetica-Bold", 12), sysvar = "pagenumber",
>> format = lambda x: "Página %d" % x),
>> ])
>>
>> _buffer = StringIO()
>>
>> canvas = Canvas(_buffer, pagesize=landscape(A4))
>> canvas.setTitle('Prueba con url imagen')
>> rpt.generate(canvas)
>> canvas.save()
>>
>> response.headers['Content-Type']='application/pdf'
>> response.headers['Content-Disposition'] = 'attachment;
>> filename=ventas.pdf'
>>
>> return _buffer.getvalue()
>>
>> attached the pdf output.
>>
>> José
>>
>> [1] https://github.com/Solomoriah/PollyReports
>> [2] http://pypi.python.org/pypi/PollyReports
>>
>
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