def to_natural_language(self):
prompt = ""
user_config = " and ".join(["{}: {}".format(k, v) for k, v in \
self.last_system_belief.items() \
if k in self.frame.content \
.keys() and is_value(v)])
if len(self.data) == 1:
prompt += ("is this {} what you were looking"
" for?").format(self.frame.entity)
else:
prompt += ("there are more than one {} with {}. here:"
"").format(self.frame.entity, user_config)
for i, result in enumerate(self.data):
prompt += (" [{}. {}],".format(i + 1, ", ".join(["{}: {}".format(k,
v) for k, v in result.items()])))
prompt = prompt.strip(",") + ". "
if self.frame.can_advance_results_list():
prompt += ("there are also other results matching your criteria."
" ask me to show you more if you want to see them. ")
if self.frame.can_restore_results_list():
prompt += ("if you want to see previous results, or the first "
"results of the list, just ask me.")
return prompt.strip()
def to_natural_language(self):
prompt = ""
db = Database.get_instance()
entity = self.frame.entity.replace("_", " ")
belief = db.remove_fkeys_from_result_set(self.last_system_belief)
user_config = " and ".join(["{} {}".format(db.slot_to_column(k) \
.replace("_", " "), v) for k, v in \
belief.items() if k in self.frame \
.get_all_slots(exclude_fkeys=True) \
and is_value(v)])
if len(self.data) == 1:
prompt += ("is this {} what you were looking"
" for?").format(entity)
else:
prompt += ("there are more than one {} with {}. here:"
"").format(entity, user_config)
for i, result in enumerate(self.data):
prompt += (" [{}. {}],".format(i + 1, ", ".join(["{}: {}".format(db \
.slot_to_column(k).replace("_", " "),
v) for k, v in result.items()])))
prompt = prompt.strip(",") + ". "
if self.frame.can_advance_results_list():
prompt += ("there are also other results matching your criteria."
" ask me to show you more if you want to see them. ")
if self.frame.can_restore_results_list():
prompt += ("if you want to see previous results, or the first "
"results of the list, just ask me.")
return prompt.replace("_", " ").strip()
def to_natural_language(self):
if self.data:
prompt = random.choice(["understood.", "alright.", "ok.", "got it."])
else:
user_config = " and ".join(["{}: {}".format(k, v) for k, v in \
self.last_system_belief.items() \
if k in self.frame.content \
.keys() and is_value(v)])
prompt = ("unfortunately, i couldn't find any {} with {}"
".").format(self.frame.entity, user_config)
return prompt
def to_natural_language(self):
if self.data:
prompt = random.choice(
["understood.", "alright.", "ok.", "got it."])
else:
db = Database.get_instance()
belief = db.remove_fkeys_from_result_set(self.last_system_belief)
user_config = " and ".join(["{} {}".format(db.slot_to_column(k) \
.replace("_", " "), v) for k, v in \
belief.items() if k in self \
.frame.content.keys() and
is_value(v)])
prompt = ("unfortunately, i couldn't find any {} with {}"
".").format(self.frame.entity.replace("_", " "),
user_config)
return prompt
def to_string_verbose(self):
content = self.frame.history[-1].items()
return self.name + str({k : v for k, v in content if is_value(v) \
and k in self.frame.get_all_slots()})