CSV, MongoEngine

csv.py

_Q = Q(...)&Q(...) # Query
_total = MyModel.objects(_Q).count()

if _total < 1:
    error = MessageError(1, u"No se encontraron resultados con el filtro definido.")
else:
    _skip = 0
    _limit = 100
    _range = int(_total/_limit)+1
    _file_dir = os.path.abspath("")+"/my/path/csv"
    _file_name = "file_name_%s.csv" % \
                 datetime.datetime.now().strftime("%Y%m%d_%H%M%S%f")
    
    _file_path = "%s/%s" % (_file_dir, _file_name)
    _file_header = ["header-1","header-2","header-3","header-4"]
    
    def csv_write_row(row, _queue, _writer, _stream, _encoder, 
                      _encoding="utf-8"):
        _writer.writerow([s.encode(_encoding) for s in row])
        data = _queue.getvalue()
        data = data.decode(_encoding)
        data = _encoder.encode(data)
        _stream.write(data)
        _queue.truncate(0)
        
    with open(_file_path, "wb") as f:
        _encoding = " iso-8859-1"
        _queue = cStringIO.StringIO()
        _writer = csv.writer(_queue, dialect=csv.excel, delimiter=',', 
                             quotechar="'")
        _stream = f
        _encoder = codecs.getincrementalencoder(_encoding)()
        csv_write_row(_file_header, _queue, _writer, _stream, _encoder)
    
        for _ in range(_range):
            _recordset = MyModel.objects(_Q).skip(_skip*_limit).limit(_limit)
    
            for row in _recordset:
                csv_write_row(row.to_csv(), _queue, _writer, _stream, 
                              _encoder, _encoding)
            _skip += 1
            
        recordset = dict(total=_total, file=_file_name)
        error = MessageError(0, u"El proceso finalizo correctamente.")
        f.close()
        
print self.get_response(error.eid, error.message, recordset) # JSON Response