############################################################################## # # Copyright (c) 2004 TINY SPRL. (http://tiny.be) All Rights Reserved. # Fabien Pinckaers # # WARNING: This program as such is intended to be used by professional # programmers who take the whole responsability of assessing all potential # consequences resulting from its eventual inadequacies and bugs # End users who are looking for a ready-to-use solution with commercial # garantees and support are strongly adviced to contract a Free Software # Service Company # # 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. # ############################################################################## from osv import osv,fields import pickle class ir_values(osv.osv): _name = 'ir.values' _columns = { 'name': fields.char('Name', size=128), 'model': fields.char('Name', size=128), 'value': fields.text('Value'), 'object': fields.boolean('Is Object'), 'key': fields.char('Name', size=128), 'key2': fields.char('Value', size=256), 'meta': fields.text('Meta Datas'), 'res_id': fields.integer('Resource ID'), 'user_id': fields.many2one('res.users', 'User', ondelete='cascade') } _defaults = { 'key': lambda *a: 'action', 'key2': lambda *a: 'tree_but_open', } def set(self, cr, uid, key, key2, name, models, value, replace=True, isobject=False, meta=False, preserve_user=False): if not isobject: value = pickle.dumps(value) if meta: meta = pickle.dumps(meta) ids_res = [] for model in models: if type(model)==type([]) or type(model)==type(()): model,res_id = model else: res_id=False if replace: ids = self.search(cr, uid, [('key','=',key),('key2','=',key2),('name','=',name),('model','=',model),('res_id','=',res_id)]) self.unlink(cr, uid, ids) vals = { 'name': name, 'value': value, 'model': model, 'object': isobject, 'key': key, 'key2': key2 and key2[:200], 'meta': meta, 'user_id': preserve_user and uid, } if res_id: vals['res_id']= res_id ids_res.append(self.create(cr, uid, vals)) return ids_res # # Improve to add user_id check # def get(self, cr, uid, key, key2, models, meta=False, context={}, res_id_req=False, without_user=True, key2_req=True): result = [] for m in models: if type(m)==type([]) or type(m)==type(()): m,res_id = m else: res_id=False where1 = ['key=%s','model=%s'] where2 = [key,m] where_opt = [] if key2: where1.append('key2=%s') where2.append(key2[:200]) else: dest = where1 if not key2_req or meta: dest=where_opt dest.append('key2 is null') if res_id_req and (models[-1][0]==m): if res_id: where1.append('res_id=%d' % (res_id,)) else: where1.append('(res_id is NULL)') else: if res_id: if (models[-1][0]==m): where1.append('(res_id=%d or (res_id is null))' % (res_id,)) where_opt.append('res_id=%d' % (res_id,)) else: where1.append('res_id=%d' % (res_id,)) if not without_user: where_opt.append('user_id=%d' % (uid,)) result = [] ok = True while ok and len(result)==0: cr.execute('select id from ir_values where '+' and '.join(where1+where_opt), where2) result = [x[0] for x in cr.fetchall()] if len(where_opt): where_opt.pop() else: ok = False if result: break if not result: return [] cr.execute('select id,name,value,object,meta from ir_values where id in ('+','.join(map(str,result))+')') result = cr.fetchall() def _result_get(x): if x[3]: model,id = x[2].split(',') datas = self.pool.get(model).read(cr, uid, [int(id)], False, context) if not len(datas): #ir_del(cr, uid, x[0]) return False datas = datas[0] else: datas = pickle.loads(x[2]) if meta: meta2 = pickle.loads(x[4]) return (x[0],x[1],datas,meta2) return (x[0],x[1],datas) res = filter(bool, map(lambda x: _result_get(x), list(result))) return res ir_values()