def PUT(self,**kwargs):
        try:
            error_message=None
            data = cherrypy.request.json
            error_message = verify_in_data(data=data, attrs=['source','stimulus','artifact','enviroment','response','response_measure','quality_scenario_name','quality_atribute','quality_atribute_node','project_name'])
            if error_message:
                raise Exception
            
            client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
            db = client[data['project_name']]
            result = db.quality_requirements.find_one(dict(quality_atribute=data['quality_atribute'],quality_atribute_node=data['quality_atribute_node']))
            
            if result:
                for quality_scenario in result['quality_scenarios']:
                    if quality_scenario['name'] == data['quality_scenario_name']:
                        quality_scenario['name'] = data['quality_scenario_name']
                        quality_scenario['source'] = data['source']
                        quality_scenario['stimulus'] = data['stimulus']
                        quality_scenario['artifact'] = data['artifact']
                        quality_scenario['enviroment'] = data['enviroment']
                        quality_scenario['response'] = data['response']
                        quality_scenario['response_measure'] = data['response_measure']
                        
                db.quality_requirements.update({"_id": result['_id']}, {"$set": dict(quality_scenarios=result['quality_scenarios'])})
            else:
                error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'quality_scenario')
                raise Exception

            return build_response(token=None)
        except Exception:
            if not error_message:
                error_message = EXCEPTION_PROCESSING_ERROR
            return build_response(error_message=error_message,token=None)
 def POST(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(
             data=data,
             attrs=['stakeholder_type', 'project_name', 'concerns', 'name'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS %
                                    'stakeholder')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.stakeholders.find_one({"name": data['name']})
         if not result:
             try:
                 db.stakeholders.insert(
                     dict(name=data['name'],
                          stakeholder_type=data['stakeholder_type'].replace(
                              "_", " "),
                          concerns=data['concerns']))
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR %
                                        'new_stakeholder')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_ALREADY_EXISTS %
                                    'stakeholder')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message, token=None)
Пример #3
0
 def POST(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data,
                                        attrs=['name', 'description'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'team')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client.teams
         result = db.teams.find_one({"name": data['name']})
         if not result:
             try:
                 db.teams.insert(
                     dict(name=data['name'],
                          description=data['description']))
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR %
                                        'new_team')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_ALREADY_EXISTS % 'team')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message, token=None)
Пример #4
0
    def POST(self, **kwargs):
        try:
            data = cherrypy.request.json
            error_message = verify_in_data(data=data, attrs=['background','purpose_scope','overview','project_name'])
            if error_message:
                error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'overview')
                raise Exception
    
            client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
            db = client[data['project_name']]
            result = db.overview.find_one()

            if not result:
                try:
                    db.overview.insert(dict(background=data['background'],purpose_scope=data['purpose_scope'],overview=data['overview']))
                except Exception:
                    error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_overview')
                    raise Exception
            else:
                db.overview.update({"_id": result['_id']}, {"$set": dict(background=data['background'],purpose_scope=data['purpose_scope'],overview=data['overview'])})

            return build_response(token=None)
        except Exception:
            if not error_message:
                error_message = EXCEPTION_PROCESSING_ERROR
            return build_response(error_message=error_message,token=None)
Пример #5
0
    def PUT(self, **kwargs):
        try:
            error_message = None
            data = cherrypy.request.json
            error_message = verify_in_data(
                data=data,
                attrs=[
                    'source', 'stimulus', 'artifact', 'enviroment', 'response',
                    'response_measure', 'quality_scenario_name',
                    'quality_atribute', 'quality_atribute_node', 'project_name'
                ])
            if error_message:
                raise Exception

            client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
            db = client[data['project_name']]
            result = db.quality_requirements.find_one(
                dict(quality_atribute=data['quality_atribute'],
                     quality_atribute_node=data['quality_atribute_node']))

            if result:
                for quality_scenario in result['quality_scenarios']:
                    if quality_scenario['name'] == data[
                            'quality_scenario_name']:
                        quality_scenario['name'] = data[
                            'quality_scenario_name']
                        quality_scenario['source'] = data['source']
                        quality_scenario['stimulus'] = data['stimulus']
                        quality_scenario['artifact'] = data['artifact']
                        quality_scenario['enviroment'] = data['enviroment']
                        quality_scenario['response'] = data['response']
                        quality_scenario['response_measure'] = data[
                            'response_measure']

                db.quality_requirements.update({"_id": result['_id']}, {
                    "$set":
                    dict(quality_scenarios=result['quality_scenarios'])
                })
            else:
                error_message = format(EXCEPTION_DATA_NOT_EXISTS %
                                       'quality_scenario')
                raise Exception

            return build_response(token=None)
        except Exception:
            if not error_message:
                error_message = EXCEPTION_PROCESSING_ERROR
            return build_response(error_message=error_message, token=None)
 def PUT(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(
             data=data,
             attrs=[
                 'name', 'goal_description', 'objective', 'driver',
                 'stakeholders', 'quality_atributes', 'measure',
                 'project_name', 'chart_min', 'chart_med', 'chart_max',
                 'range_min', 'range_max'
             ])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,
                                    'business_goal')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.business_goals.find_one({"name": data['name']})
         if result:
             try:
                 db.business_goals.update({"_id": result['_id']}, {
                     "$set":
                     dict(name=data['name'],
                          goal_description=data['goal_description'],
                          objective=data['objective'],
                          driver=data['driver'],
                          stakeholders=data['stakeholders'],
                          quality_atributes=data['quality_atributes'],
                          measure=data['measure'].replace("_", " "),
                          chart_min=data['chart_min'],
                          chart_med=data['chart_med'],
                          chart_max=data['chart_max'],
                          range_min=data['range_min'],
                          range_max=data['range_max'])
                 })
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR %
                                        'update_business_goal')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS %
                                    'business_goal')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message, token=None)
Пример #7
0
 def PUT(self,**kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['name','inputs','stakeholder','context_description','functionality_description','functionality','context','outputs','stakeholder_description','project_name'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'operational_scenario')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.operational_scenarios.find_one({"name": data['name'].replace("_", " ")})
         if result:
             try:
                 db.operational_scenarios.update({"_id": result['_id']}, {"$set": dict(name=data['name'].replace("_", " "),inputs=data['inputs'],stakeholder=data['stakeholder'],context_description=data['context_description'],functionality_description=data['functionality_description'],functionality=data['functionality'],context=data['context'],outputs=data['outputs'],stakeholder_description=data['stakeholder_description'])})
             except Exception,e:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'operational_scenario')
                 raise Exception
         else:
 def POST(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data,
                                        attrs=['project_name', 'name'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,
                                    'business_goal')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.business_goals.find_one({"name": data['name']})
         if not result:
             try:
                 db.business_goals.insert(
                     dict(name=data['name'],
                          goal_description=str(),
                          objective=str(),
                          driver=str(),
                          stakeholders=list(),
                          quality_atributes=list(),
                          measure=str(),
                          chart_min=str('33'),
                          chart_med=str('33'),
                          chart_max=str('33'),
                          range_min=str('0'),
                          range_max=str('100')))
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR %
                                        'new_business_goal')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_ALREADY_EXISTS %
                                    'business_goal')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message, token=None)
 def POST(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['project_name','description','stakeholder','alternatives','constaint_type','name'])  
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,'constraint')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.constraints.find_one({"name": data['name']})
         if not result:
             try:
                 db.constraints.insert(dict(name=data['name'],stakeholder=data['stakeholder'].replace ("_", " "),description=data['description'],alternatives=data['alternatives'],constaint_type=data['constaint_type']))
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_constraint')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_ALREADY_EXISTS % 'constraint')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message,token=None)
 def PUT(self,**kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['project_name','description','stakeholder','alternatives','constaint_type','name','old_name'])  
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,'constraint')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.constraints.find_one({"name": data['old_name']})
         if result:
             try:
                 db.constraints.update({"_id": result['_id']}, {"$set": dict(name=data['name'],stakeholder=data['stakeholder'].replace ("_", " "),description=data['description'],alternatives=data['alternatives'],constaint_type=data['constaint_type'])})
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_constraint')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'constraint')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message,token=None)
 def PUT(self,**kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['stakeholder_type','project_name','concerns','name','old_name'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'stakeholder')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.stakeholders.find_one({"name": data['old_name']})
         if result:
             try:
                 db.stakeholders.update({"_id": result['_id']}, {"$set": dict(name=data['name'],stakeholder_type=data['stakeholder_type'].replace ("_", " "),concerns=data['concerns'])})
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_stakeholder')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'stakeholder')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message,token=None)
 def POST(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['project_name','name'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,'business_goal')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.business_goals.find_one({"name": data['name']})
         if not result:
             try:
                 db.business_goals.insert(dict(name=data['name'],goal_description=str(),objective=str(),driver=str(),stakeholders=list(),quality_atributes=list(),measure=str(),chart_min=str('33'),chart_med=str('33'),chart_max=str('33'),range_min=str('0'),range_max=str('100')))
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_business_goal')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_ALREADY_EXISTS % 'business_goal')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message,token=None)
 def PUT(self,**kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['name','goal_description','objective','driver','stakeholders','quality_atributes','measure','project_name','chart_min','chart_med','chart_max','range_min','range_max'])  
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,'business_goal')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.business_goals.find_one({"name": data['name']})
         if result:
             try:
                 db.business_goals.update({"_id": result['_id']}, {"$set": dict(name=data['name'],goal_description=data['goal_description'],objective=data['objective'],driver=data['driver'],stakeholders=data['stakeholders'],quality_atributes=data['quality_atributes'],measure=data['measure'].replace("_", " "),chart_min=data['chart_min'],chart_med=data['chart_med'],chart_max=data['chart_max'],range_min=data['range_min'],range_max=data['range_max'])})
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_business_goal')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'business_goal')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message,token=None)
Пример #14
0
 def POST(self, **kwargs):
     try:
         data = cherrypy.request.json
         error_message = verify_in_data(data=data, attrs=['project_name','name'])
         if error_message:
             error_message = format(EXCEPTION_DATA_NOT_EXISTS,'operational_scenario')
             raise Exception
         client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
         db = client[data['project_name']]
         result = db.operational_scenarios.find_one({"name": data['name']})
         if not result:
             try:
                 db.operational_scenarios.insert(dict(name=data['name'],inputs=list(),stakeholder=str(),context_description=str(),functionality_description=str(),functionality=str(),context=str(),outputs=list(),stakeholder_description=str()))
             except Exception:
                 error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_operational_scenario')
                 raise Exception
         else:
             error_message = format(EXCEPTION_DATA_ALREADY_EXISTS % 'operational_scenario')
             raise Exception
         return build_response(token=None)
     except Exception:
         if not error_message:
             error_message = EXCEPTION_PROCESSING_ERROR
         return build_response(error_message=error_message,token=None)
    def POST(self, **kwargs):
        try:
            data = cherrypy.request.json
            error_message = verify_in_data(data=data, attrs=['utility_tree_type','project_name'])
            if error_message:
                error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                raise Exception
    
            utility_tree = list()
            if data['utility_tree_type'] == 'ISO':
                dicts = dict()
                dicts['name']='functionality'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='interoperability',score='M L'))
                dicts['nodes'].append(dict(node='security',score='H L'))
                dicts['nodes'].append(dict(node='compliance',score='H L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='reliability'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='maturity',score='M M'))
                dicts['nodes'].append(dict(node='recoverability',score='L L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='usability'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='learnability',score='M H'))
                dicts['nodes'].append(dict(node='operability',score='M L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='efficiency'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='time',score='L L'))
                dicts['nodes'].append(dict(node='resource',score='M L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='maintainability'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='extensibility',score='L L'))
                utility_tree.append(dicts)


            elif data['utility_tree_type'] == 'SEI':
                dicts = dict()
                dicts['name']='performance'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='latency',score='M L'))
                dicts['nodes'].append(dict(node='throughput',score='H L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='modifiability'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='change-COTS',score='L L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='availability'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='HW-failures',score='M H'))
                dicts['nodes'].append(dict(node='SW-failures',score='M L'))
                utility_tree.append(dicts)

                dicts = dict()
                dicts['name']='security'
                dicts['nodes']=list()
                dicts['nodes'].append(dict(node='confident',score='L L'))
                dicts['nodes'].append(dict(node='integrity',score='M L'))
                utility_tree.append(dicts)

            client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
            db = client[data['project_name']]

            try:
                db.utility_tree.insert(dict(utility_tree=utility_tree))
            except Exception:
                error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_utility_tree')
                raise Exception

            try:
                for quality_atribute in utility_tree:
                    for node in quality_atribute['nodes']:
                        db.quality_requirements.insert(dict(quality_atribute=quality_atribute['name'],quality_atribute_node=node['node'],quality_atribute_score=node['score'],quality_scenarios=list()))
            except Exception:
                error_message = format(EXCEPTION_PROCESSING_ERROR % 'new_utility_tree')
                raise Exception

            return build_response(token=None)
        except Exception:
            if not error_message:
                error_message = EXCEPTION_PROCESSING_ERROR
            return build_response(error_message=error_message,token=None)
    def PUT(self,**kwargs):
        error_message = None
        try:
            data = cherrypy.request.json
            error_message = verify_in_data(data=data, attrs=['update_type','project_name'])
            if error_message:
                error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'update_type')
                raise Exception
            if data['update_type']=='qa_node_score':
                error_message = verify_in_data(data=data, attrs=['qa_name','qa_node_name','qa_node_old_score','qa_node_score'])
                if error_message:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

                client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
                db = client[data['project_name']]
                result = db.utility_tree.find_one()
                if result:
                    try:
                        for quality_atribute in result['utility_tree']:
                            if quality_atribute['name'] == data['qa_name']:
                                for node in quality_atribute['nodes']:
                                    if node['node'] == data['qa_node_name']:
                                        node['score'] = data['qa_node_score']
                                        db.quality_requirements.update({"quality_atribute_node": data['qa_node_name']}, {"$set":{"quality_atribute_score":data['qa_node_score']}})
                        db.utility_tree.update({"_id": result['_id']}, {"$set": dict(utility_tree=result['utility_tree'])})
                    except Exception:
                        error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_utility_tree')
                        raise Exception
                    return build_response(token=None)
                else:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception
            elif data['update_type']=='qa_node':
                error_message = verify_in_data(data=data, attrs=['qa_name','qa_node_name','qa_old_node_name'])
                if error_message:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

                client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
                db = client[data['project_name']]
                result = db.utility_tree.find_one()
                if result:
                    try:
                        for quality_atribute in result['utility_tree']:
                            if quality_atribute['name'] == data['qa_name']:
                                for node in quality_atribute['nodes']:
                                    if node['node'] == data['qa_old_node_name']:
                                        node['node'] = data['qa_node_name']
                                        db.quality_requirements.update({"quality_atribute_node": data['qa_old_node_name']}, {"$set":{"quality_atribute_node":data['qa_node_name']}})

                        db.utility_tree.update({"_id": result['_id']}, {"$set": dict(utility_tree=result['utility_tree'])})
                    except Exception:
                        error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_utility_tree')
                        raise Exception
                    return build_response(token=None)
                else:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

            elif data['update_type']=='qa_name':
                error_message = verify_in_data(data=data, attrs=['qa_name','qa_old_name'])
                if error_message:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

                client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
                db = client[data['project_name']]
                result = db.utility_tree.find_one()
                if result:
                    try:
                        for quality_atribute in result['utility_tree']:
                            if quality_atribute['name'] == data['qa_old_name']:
                                quality_atribute['name'] = data['qa_name']
                                db.quality_requirements.update(
                                    {"quality_atribute": data['qa_old_name']},
                                    {"$set":{"quality_atribute":data['qa_name']}},
                                    **{
                                        "upsert":True,
                                        "multi":True
                                    })

                        db.utility_tree.update({"_id": result['_id']}, {"$set": dict(utility_tree=result['utility_tree'])})
                    except Exception:
                        error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_utility_tree')
                        raise Exception
                    return build_response(token=None)
                else:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

            elif data['update_type']=='add_qa_node':
                error_message = verify_in_data(data=data, attrs=['qa_name','qa_node_name'])
                if error_message:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

                client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
                db = client[data['project_name']]
                result = db.utility_tree.find_one()
                if result:
                    try:
                        for quality_atribute in result['utility_tree']:
                            if quality_atribute['name'] == data['qa_name']:
                                quality_atribute['nodes'].append(dict(node=data['qa_node_name'],score='L L'))
                                db.quality_requirements.insert(dict(quality_atribute=data['qa_name'],quality_atribute_node=data['qa_node_name'],quality_atribute_score='L L',quality_scenarios=list()))

                        db.utility_tree.update({"_id": result['_id']}, {"$set": dict(utility_tree=result['utility_tree'])})
                    except Exception:
                        error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_utility_tree')
                        raise Exception
                    return build_response(token=None)
                else:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

            elif data['update_type']=='add_qa_name':
                error_message = verify_in_data(data=data, attrs=['qa_name'])
                if error_message:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

                client = MongoClient(DATABASE_ADDRESS, DATABASE_PORT)
                db = client[data['project_name']]
                result = db.utility_tree.find_one()
                if result:
                    try:
                        dicts = dict()
                        dicts['name']=data['qa_name']
                        dicts['nodes']=list()
                        dicts['nodes'].append(dict(node=data['qa_name'],score='L L'))
                        result['utility_tree'].append(dicts)

                        db.quality_requirements.insert(dict(quality_atribute=data['qa_name'],quality_atribute_node=data['qa_name'],quality_atribute_score='L L',quality_scenarios=list()))
                        db.utility_tree.update({"_id": result['_id']}, {"$set": dict(utility_tree=result['utility_tree'])})
                    except Exception:
                        error_message = format(EXCEPTION_PROCESSING_ERROR % 'update_utility_tree')
                        raise Exception
                    return build_response(token=None)
                else:
                    error_message = format(EXCEPTION_DATA_NOT_EXISTS % 'utility_tree')
                    raise Exception

            return build_response(token=None)
        except Exception:
            if not error_message:
                error_message = EXCEPTION_PROCESSING_ERROR
            return build_response(error_message=error_message,token=None)