[IMP]:improved the graph_get method for generic.
bzr revid: apa@tinyerp.com-20100205125852-ykgf5ti2vuhswfle
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apa-tiny
parent
487b9ea3dd
commit
d6c5fa26d3
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@ -132,89 +132,54 @@ class view(osv.osv):
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return super(view, self).write(cr, uid, ids, vals, context)
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return super(view, self).write(cr, uid, ids, vals, context)
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def graph_get(self, cr, uid, id, scale, context={}):
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def graph_get(self, cr, uid, id, model, node_obj, conn_obj, src_node, des_node, scale,context={}):
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nodes= []
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nodes_name = []
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transitions = []
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start = []
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tres = {}
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no_ancester = []
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_Node={}
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_Model_Obj = self.pool.get(model)
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_Arrow={}
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_Node_Obj = self.pool.get(node_obj)
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_Ids = self.search(cr, uid, [('type','=','diagram')], context=context)
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_Arrow_Obj = self.pool.get(conn_obj)
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_Models = self.browse(cr, uid, _Ids, context)
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for _Model in _Models:
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for model_key,model_value in _Model_Obj._columns.items():
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if model_value._type == 'one2many':
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if model_value._obj==node_obj:
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_Node_Field=model_key
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flag=False
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for node_key,node_value in _Node_Obj._columns.items():
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if node_value._type=='one2many':
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if src_node in _Arrow_Obj._columns:
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if flag:
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_Source_Field = node_key
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if des_node in _Arrow_Obj._columns:
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if not flag:
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_Destination_Field = node_key
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flag = True
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from lxml import etree
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datas = _Model_Obj.read(cr, uid, id, [],context)
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import StringIO,xml.dom.minidom
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for a in _Node_Obj.read(cr,uid,datas[_Node_Field],[]):
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nodes_name.append((a['id'],a['name']))
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d = xml.dom.minidom.parseString(str(_Model.arch))
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nodes.append(a['id'])
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de = d.documentElement
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if a['flow_start']:
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start.append(a['id'])
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def node_attributes(node):
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else:
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result = {}
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if not a[_Source_Field]:
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attrs = node.attributes
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no_ancester.append(a['id'])
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if attrs is None:
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for t in _Arrow_Obj.read(cr,uid, a[_Destination_Field],[]):
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return {}
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transitions.append((a['id'], t[des_node][0]))
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for i in range(attrs.length):
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tres[t['id']] = (a['id'], t[des_node][0])
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result[attrs.item(i).localName] = str(attrs.item(i).nodeValue)
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g = graph(nodes, transitions, no_ancester)
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if attrs.item(i).localName == "digits" and isinstance(attrs.item(i).nodeValue, (str, unicode)):
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g.process(start)
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result[attrs.item(i).localName] = eval(attrs.item(i).nodeValue)
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g.scale(*scale)
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return result
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result = g.result_get()
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results = {}
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for n in [i for i in de.childNodes]:
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for node in nodes_name:
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if n.nodeName=='node':
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results[str(node[0])] = result[node[0]]
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_Node.update(node_attributes(n))
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results[str(node[0])]['name'] = node[1]
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elif n.nodeName=='arrow':
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return {'nodes': results, 'transitions': tres}
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_Arrow.update(node_attributes(n))
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_Model_Obj = self.pool.get(str(_Model.model))
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for _Field,_Value in _Model_Obj._columns.items():
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if _Value._type == 'one2many':
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if _Value._obj==_Node['object']:
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_Node_Obj = self.pool.get(_Value._obj)
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_Node_Field = _Field
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_Flag=False
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for _Field_1,_Value_1 in _Node_Obj._columns.items():
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if _Value_1._type == 'one2many':
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if _Value_1._obj==_Arrow['object']:
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_Arrow_Obj = self.pool.get(_Value_1._obj)
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for _Key,_Val in _Arrow_Obj._columns.items():
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if _Arrow['source'] == _Key:
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if _Flag:
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_Source_Field = _Field_1
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if _Arrow['destination'] == _Key:
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if not _Flag:
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_Destination_Field = _Field_1
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_Flag = True
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nodes= []
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nodes_name = []
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transitions = []
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start = []
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tres = {}
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no_ancester = []
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workflow = _Model_Obj.read(cr, uid, id, [],context)
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for a in _Node_Obj.read(cr,uid, workflow[_Node_Field],[]):
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nodes_name.append((a['id'],a['name']))
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nodes.append(a['id'])
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if a['flow_start']:
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start.append(a['id'])
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else:
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if not a[_Source_Field]:
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no_ancester.append(a['id'])
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for t in _Arrow_Obj.read(cr,uid, a[_Destination_Field],[]):
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transitions.append((a['id'], t[_Arrow['destination']][0]))
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tres[t['id']] = (a['id'], t[_Arrow['destination']][0])
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g = graph(nodes, transitions, no_ancester)
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g.process(start)
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g.scale(*scale)
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result = g.result_get()
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results = {}
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for node in nodes_name:
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results[str(node[0])] = result[node[0]]
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results[str(node[0])]['name'] = node[1]
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return {'nodes': results, 'transitions': tres}
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view()
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view()
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class view_sc(osv.osv):
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class view_sc(osv.osv):
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