|
|
|
import cStringIO
|
|
|
|
import codecs
|
|
|
|
import csv
|
|
|
|
|
|
|
|
from sigi.apps.casas.models import Funcionario
|
|
|
|
from sigi.apps.contatos.models import Telefone
|
|
|
|
from sigi.apps.servicos.models import TipoServico, Servico
|
|
|
|
|
|
|
|
# cria um CSV com contatos das casas legislativas que possuem portal modelo ativo
|
|
|
|
# rodar em um shell:
|
|
|
|
# ./manage.py shell
|
|
|
|
# %run scripts/contatos_de_casas_que_usam_portalmodelo.py
|
|
|
|
# ... verificar <ARQUIVO_CSV>
|
|
|
|
|
|
|
|
ARQUIVO_CSV = '/tmp/contatos_casas_pm.csv'
|
|
|
|
|
|
|
|
|
|
|
|
class UnicodeWriter:
|
|
|
|
|
|
|
|
"""
|
|
|
|
A CSV writer which will write rows to CSV file "f",
|
|
|
|
which is encoded in the given encoding.
|
|
|
|
|
|
|
|
from https://docs.python.org/2/library/csv.html
|
|
|
|
"""
|
|
|
|
|
|
|
|
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
|
|
|
|
# Redirect output to a queue
|
|
|
|
self.queue = cStringIO.StringIO()
|
|
|
|
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
|
|
|
|
self.stream = f
|
|
|
|
self.encoder = codecs.getincrementalencoder(encoding)()
|
|
|
|
|
|
|
|
def clean(self, cell):
|
|
|
|
return unicode(cell) if cell else '-'
|
|
|
|
|
|
|
|
def writerow(self, row):
|
|
|
|
self.writer.writerow([self.clean(s).encode("utf-8") for s in row])
|
|
|
|
# Fetch UTF-8 output from the queue ...
|
|
|
|
data = self.queue.getvalue()
|
|
|
|
data = data.decode("utf-8")
|
|
|
|
# ... and reencode it into the target encoding
|
|
|
|
data = self.encoder.encode(data)
|
|
|
|
# write to the target stream
|
|
|
|
self.stream.write(data)
|
|
|
|
# empty queue
|
|
|
|
self.queue.truncate(0)
|
|
|
|
|
|
|
|
def writerows(self, rows):
|
|
|
|
for row in rows:
|
|
|
|
self.writerow(row)
|
|
|
|
|
|
|
|
|
|
|
|
pm = TipoServico.objects.get(nome=u'Portal Modelo')
|
|
|
|
servicos = Servico.objects.filter(tipo_servico=pm, data_desativacao__isnull=True)
|
|
|
|
casas = {s.casa_legislativa for s in servicos}
|
|
|
|
|
|
|
|
tipos_telefone = dict(Telefone.TELEFONE_CHOICES)
|
|
|
|
setores_funcionarios = dict(Funcionario.SETOR_CHOICES)
|
|
|
|
|
|
|
|
with open(ARQUIVO_CSV, "wb") as f:
|
|
|
|
writer = UnicodeWriter(f, delimiter='\t', quotechar='"', quoting=csv.QUOTE_ALL)
|
|
|
|
writer.writerow([
|
|
|
|
"casa: ID", "casa: NOME",
|
|
|
|
"contato: NOME", "contato: TIPO",
|
|
|
|
"contato: EMAIL", "contato: CARGO", "contato: FUNCAO", "contato: TELEFONES",
|
|
|
|
])
|
|
|
|
for casa in casas:
|
|
|
|
contatos = casa.funcionario_set.filter(setor__in=["contato_interlegis", "estrutura_de_ti"])
|
|
|
|
if not contatos:
|
|
|
|
contatos = casa.funcionario_set.all()
|
|
|
|
for contato in contatos:
|
|
|
|
writer.writerow([
|
|
|
|
casa.pk, casa.nome,
|
|
|
|
contato.nome, setores_funcionarios.get(contato.setor, '?').decode('utf-8'),
|
|
|
|
contato.email, contato.cargo, contato.funcao,
|
|
|
|
'; '.join('%s [tipo: %s]' % (t.numero, tipos_telefone.get(t.tipo)) for t in contato.telefones.all()),
|
|
|
|
])
|
|
|
|
if not contatos:
|
|
|
|
writer.writerow([
|
|
|
|
casa.pk, casa.nome,
|
|
|
|
'SEM CONTATOS CADASTRADOS',
|
|
|
|
])
|