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US2SMT.py
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US2SMT.py
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import os
from graphviz import Digraph
import time
def get_oms_out():
return os.popen('./optimathsat/bin/optimathsat < output.txt').read()
def contains(the_list, custom_filter):
for x in the_list:
if custom_filter(x):
return True
return False
class US2SMT:
def __init__(self, in_file, parser, opt, opt2, max_):
self.parser = parser
self.opt = opt
self.opt2 = opt2
self.in_file = in_file
self.refinement_id = 0
self.goal_id = 0
self.max_ = max_
self.user_stories = []
self.goals = []
self.refinements = []
self.smt = ''
self.dot = Digraph()
self.dictn = {}
class Refinement:
def __init__(self, id_):
self.id_ = 'R' + str(id_)
self.children = []
self.parent = None
class Goal:
def __init__(self, id_):
self.id_ = 'G' + str(id_)
self.name = None
self.isMandatory = False
self.isRoot = False
self.isLeaf = False
self.children = []
self.pWeight = []
self.nWeight = []
def set_mandatory(self):
self.isMandatory = True
def set_root(self):
self.isRoot = True
def set_leaf(self):
self.isLeaf = True
class UserStory:
def __init__(self, id_):
self.id_ = id_
self.role = None
self.action = None
self.reason = None
self.topic = None
self.topic_id = None
self.weight = []
self.pWeight = []
self.nWeight = []
self.content = None
self.act_verb = None
self.act_obj = None
def get_relations(self, type, level):
if level == 2:
dot, dictn = self.or_(type)
else:
dot, dictn = self.and_(type)
return dot, dictn
def and_(self, type):
refinement_id = self.refinement_id
goal_id = self.goal_id
dictn = self.dictn
dot = self.dot
for u in self.user_stories:
if type == 2:
up = u.role
dw = u.topic
else:
up = u.role
dw = u.act_verb
nm = up + "_" + dw
if contains(self.goals, lambda g: g.name == nm):
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = u.action
dot.node(new_goal.id_, u.action)
goal_id += 1
new_goal.set_leaf()
for p in u.pWeight:
new_goal.pWeight.append(p)
for n in u.nWeight:
new_goal.nWeight.append(n)
new_goal.name = u.action
self.goals.append(new_goal)
new_ref = self.Refinement(refinement_id)
dot.node(new_ref.id_, shape='point')
refinement_id += 1
new_ref.children.append(new_goal)
new_ref.parent = list(filter(lambda g: g.name == nm, self.goals))[0].id_
list(filter(lambda g: g.name == nm, self.goals))[0].children.append(new_ref)
self.refinements.append(new_ref)
elif contains(self.goals, lambda g: g.name == up):
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = nm
dot.node(new_goal.id_, dw)
goal_id += 1
new_goal.name = nm
self.goals.append(new_goal)
g_id = list(filter(lambda g: g.name == up, self.goals))[0].id_
new_ref = list(filter(lambda r: r.parent == g_id, self.refinements))[0]
new_ref.children.append(new_goal)
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = u.action
dot.node(new_goal.id_, u.action)
goal_id += 1
new_goal.set_leaf()
for p in u.pWeight:
new_goal.pWeight.append(p)
for n in u.nWeight:
new_goal.nWeight.append(n)
new_goal.name = u.action
self.goals.append(new_goal)
new_ref = self.Refinement(refinement_id)
dot.node(new_ref.id_, shape='point')
refinement_id += 1
new_ref.children.append(new_goal)
new_ref.parent = list(filter(lambda g: g.name == nm, self.goals))[0].id_
list(filter(lambda g: g.name == nm, self.goals))[0].children.append(new_ref)
self.refinements.append(new_ref)
else:
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = up
dot.node(new_goal.id_, up)
goal_id += 1
new_goal.set_root()
new_goal.set_mandatory()
new_goal.name = up
self.goals.append(new_goal)
new_ref = self.Refinement(refinement_id)
dot.node(new_ref.id_, shape='point')
refinement_id += 1
new_ref.parent = new_goal.id_
new_ref.name = nm
self.refinements.append(new_ref)
new_goal.children.append(new_ref)
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = nm
dot.node(new_goal.id_, dw)
goal_id += 1
new_goal.name = nm
self.goals.append(new_goal)
g_id = list(filter(lambda g: g.name == up, self.goals))[0].id_
new_ref = list(filter(lambda r: r.parent == g_id, self.refinements))[0]
new_ref.children.append(new_goal)
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = u.action
dot.node(new_goal.id_, u.action)
goal_id += 1
new_goal.set_leaf()
for p in u.pWeight:
new_goal.pWeight.append(p)
for n in u.nWeight:
new_goal.nWeight.append(n)
new_goal.name = u.action
self.goals.append(new_goal)
new_ref = self.Refinement(refinement_id)
dot.node(new_ref.id_, shape='point')
refinement_id += 1
new_ref.children.append(new_goal)
new_ref.parent = list(filter(lambda g: g.name == nm, self.goals))[0].id_
list(filter(lambda g: g.name == nm, self.goals))[0].children.append(new_ref)
self.refinements.append(new_ref)
return dot, dictn
def or_(self, type):
refinement_id = self.refinement_id
goal_id = self.goal_id
dictn = self.dictn
dot = self.dot
for u in self.user_stories:
if type == 1:
rl = u.role
elif type == 2:
rl = u.topic
else:
rl = u.act_verb
if contains(self.goals, lambda g: g.name == rl):
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = u.action
dot.node(new_goal.id_, u.action)
goal_id += 1
new_goal.set_leaf()
for p in u.pWeight:
new_goal.pWeight.append(p)
for n in u.nWeight:
new_goal.nWeight.append(n)
new_goal.name = u.action
self.goals.append(new_goal)
new_ref = self.Refinement(refinement_id)
dot.node(new_ref.id_, shape='point')
refinement_id += 1
new_ref.children.append(new_goal)
new_ref.parent = list(filter(lambda g: g.name == rl, self.goals))[0].id_
list(filter(lambda g: g.name == rl, self.goals))[0].children.append(new_ref)
self.refinements.append(new_ref)
else:
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = rl
dot.node(new_goal.id_, rl)
goal_id += 1
new_goal.set_root()
new_goal.set_mandatory()
new_goal.name = rl
self.goals.append(new_goal)
new_ref = self.Refinement(refinement_id)
dot.node(new_ref.id_, shape='point')
refinement_id += 1
new_ref.parent = new_goal.id_
new_goal.children.append(new_ref)
new_goal = self.Goal(goal_id)
dictn['G' + str(goal_id)] = u.action
dot.node(new_goal.id_, u.action)
goal_id += 1
new_goal.set_leaf()
for p in u.pWeight:
new_goal.pWeight.append(p)
for n in u.nWeight:
new_goal.nWeight.append(n)
new_goal.name = u.action
self.goals.append(new_goal)
new_ref.children.append(new_goal)
self.refinements.append(new_ref)
return dot, dictn
def weight(self):
ws = self.max_.split(',')
for s in self.user_stories:
for w in s.weight:
if contains(ws, lambda ws: ws == w[0]):
s.pWeight.append(w)
else:
s.nWeight.append(w)
return self
def add_us(self):
t_start = time.time()
processed_df = self.parser.get_input(self.in_file)
t_end = time.time()
print('Parser time: {}'.format(t_end-t_start))
known_cols = ['clean', 'doc', 'act_tokenized', 'act_span', 'User Story', 'role',
'topic_id', 'topic_kw', 'act_verb', 'act_obj']
weight_cols = [col for col in processed_df.columns if col not in known_cols]
for idx, us in processed_df.iterrows():
tmp_us = self.UserStory(idx)
tmp_us.content = us['User Story']
tmp_us.role = us['role'] if us['role'] else 'other'
tmp_us.action = us['act_span'].text if us['act_span'] else 'other'
tmp_us.act_verb = us['act_verb'].text if us['act_verb'] else 'other'
tmp_us.act_obj = us['act_obj'] if us['act_obj'] else 'other'
tmp_us.topic_id = us['topic_id'] if us['topic_id'] else 'other'
tmp_us.topic = us['topic_kw'] if us['topic_kw'] else 'other'
tmp_us.weight = [(col, us[col]) for col in weight_cols]
if tmp_us.action is not None and tmp_us.role is not None:
if contains(self.user_stories, lambda s: s.role == tmp_us.role and s.action == tmp_us.action):
continue
self.user_stories.append(tmp_us)
return self
def get_smt_input(self):
smt = self.smt
if self.opt2 == '1':
dot, dictn = self.get_relations(1, 2)
elif self.opt2 == '2':
dot, dictn = self.get_relations(2, 2)
elif self.opt2 == '3':
dot, dictn = self.get_relations(2, 3)
elif self.opt2 == '4':
dot, dictn = self.get_relations(3, 2)
else:
dot, dictn = self.get_relations(3, 3)
smt += '(set-option :produce-models true)\r\n'
if self.opt == '1':
smt += '(set-option :opt.priority box)\r\n\r\n'
elif self.opt == '2':
smt += '(set-option :opt.priority lex)\r\n\r\n'
else:
smt += '(set-option :opt.priority pareto)\r\n\r\n'
for g in self.goals:
smt += '(declare-fun ' + g.id_ + ' () Bool) \r\n'
if g.isMandatory:
smt += '(assert ' + g.id_ + ')\r\n(assert-soft ' + g.id_ + ' :id unsat_requirements)\r\n'
for r in self.refinements:
smt += '(declare-fun ' + r.id_ + ' () Bool) \r\n'
# or
for g in self.goals:
if not g.isLeaf:
smt += '(assert (=> ' + g.id_ + '(or '
for c in g.children:
dot.edge(g.id_, c.id_, dir='back')
smt += c.id_ + ' '
smt += ')))\r\n'
# and
for r in self.refinements:
smt += '(assert (and (= ' + r.id_ + ' (and '
for c in r.children:
smt += c.id_ + ' '
dot.edge(r.id_, c.id_, dir='back')
smt += ')) (=> ' + r.id_ + ' ' + r.parent + ' )))\r\n'
for g in self.goals:
if g.isLeaf:
smt += '(assert-soft (not ' + g.id_ + ' ) :id sat_tasks)\r\n'
for p in g.pWeight:
smt += '(assert-soft (not ' + g.id_ + ' ) :weight ' + str(p[1]) + ' :id ' + p[0] + ')\r\n'
for n in g.nWeight:
smt += '(assert-soft (not ' + g.id_ + ' ) :weight ' + str(n[1]) + ' :id ' + n[0] + ')\r\n'
smt += '(minimize unsat_requirements)\r\n(minimize sat_tasks)\r\n'
ws = self.max_.split(',')
for w in self.user_stories[0].weight:
if contains(ws, lambda m: m == w[0]):
smt += '(maximize ' + w[0] + ')\r\n'
else:
smt += '(minimize ' + w[0] + ')\r\n'
smt += '(check-sat)\r\n'
smt += '(get-objectives)\r\n(load-objective-model 1)\r\n(get-model)\r\n(exit)'
f = open("output.txt", "w")
f.write(smt)
return smt, dot, dictn