def secondCheck(main_string, current_position):
result = {"website_word": "", "remaining": ""}
website_words = get_current_flows(current_position)
if website_words is None:
result['website_word'] = None
result['remaining'] = main_string
return result
score = 0
website_word_id = None
main_string = ps.stem(main_string + " ")
for id, word in website_words.items():
current_score = 0
current_score += similarity(word["command"], main_string)
current_score += SequenceMatcher(None, main_string.lower(),
word["command"].lower()).ratio()
current_score = current_score / 2
if current_score > score and current_score > 0.15:
if (id == -1 or id == 0) and current_score < 0.30:
pass
score = current_score
website_word_id = str(id)
if score != 0 and website_word_id is not None:
result['website_word'] = website_word_id
result['remaining'] = ""
return result
else:
result['website_word'] = None
result['remaining'] = main_string
return result
def getAction(message):
accuracy = {}
for k, v in common_actions.items():
local_accuracy = []
for line in v:
local_accuracy.append(similarity(message, line))
accuracy[k] = max(local_accuracy)
accuracy = sorted(accuracy.items(), key=lambda x: x[1], reverse=True)
action = accuracy[0]
return action
def getSimilar(flows, word):
similar_words = []
for k, v in flows.items():
score = similarity(v["command"], word)
# print(l,word,score)
if score > 0.25:
similar_words.append(k)
if len(similar_words) < 1:
similar_words = list(flows.keys())
return similar_words