# # Gramps - a GTK+/GNOME based genealogy program # # Copyright (C) 2000 Donald N. Allingham # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program 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 General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA # #------------------------------------------------------------------------- # # Standard python modules # #------------------------------------------------------------------------- import re import os import sys import intl _ = intl.gettext #------------------------------------------------------------------------- # # Base filter class # #------------------------------------------------------------------------- class Filter: #------------------------------------------------------------------------- # # Initializes the class # #------------------------------------------------------------------------- def __init__(self,text): self.text = text self.invert = 0 #------------------------------------------------------------------------- # # compare # #------------------------------------------------------------------------- def set_invert(self,invert): self.invert = invert #------------------------------------------------------------------------- # # compare # #------------------------------------------------------------------------- def compare(self,person): val = self.match(person) if self.invert: return not val else: return val #------------------------------------------------------------------------- # # __repr__ - print representation # #------------------------------------------------------------------------- def __repr__(self): return str(self.__class__) #------------------------------------------------------------------------- # # match - returns true if a match is made. The base class matches # everything. # #------------------------------------------------------------------------- def match(self,person): return 1 #------------------------------------------------------------------------- # # create - creates a new filter object from the passed data. Eliminates # the need to know the name of the class. # #------------------------------------------------------------------------- def create(text): return Filter(text) #------------------------------------------------------------------------- # # need_qualifier - indicates if another parameter is needed. Used to # enable or disable the qualifier field on the display # #------------------------------------------------------------------------- def need_qualifier(): return 0 filterList = [ _("All people") ] filterMap = { _("All people") : create } filterEnb = { _("All people") : need_qualifier } #------------------------------------------------------------------------- # # load_filters - loads all filters in the specfied directory. Looks for # a task named "create". The create and need_qualifer tasks are loaded in # hash tables so that the filter description can be used to retrieve the # create and need_qualifier functions # #------------------------------------------------------------------------- def load_filters(dir): pymod = re.compile(r"^(.*)\.py$") if not os.path.isdir(dir): return sys.path.append(dir) for file in os.listdir(dir): name = os.path.split(file) match = pymod.match(name[1]) if match == None: continue groups = match.groups() try: plugin = __import__(groups[0]) except: continue if "get_name" in plugin.__dict__.keys(): name = plugin.get_name() else: name = plugin.__doc__ for task in plugin.__dict__.keys(): try: if task == "create": filterMap[name] = plugin.__dict__[task] filterList.append(name) if task == "need_qualifier" : filterEnb[name] = plugin.__dict__[task] except: continue