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import re
from typing import List, Dict
from config import *
from prompt import *
from llm import OpenAI3, OpenAI4
import random
def delete_index(string: str) -> str:
if len(string) > 1: # incase of the sting is a single letter when generate word complete question
if string[1] in ['.', ':', '、', '：', ')', '）']:
string = string[2:]
return string
def normalize_options_and_answer(answer, options):
if len(options) != 1:
random.shuffle(options)
options = [delete_index(option) for option in options]
answer = delete_index(answer)
answer_index = options.index(answer)
answer = number_letter_dict[answer_index] + ':' + answer
options = [number_letter_dict[i] + ':' + options[i] + ',' for i in range(len(options))]
options = ''.join(options)
options = options[:-1]
else:
options = options[0]
return answer, options
def response_to_question(response):
try:
try:
_, stem, options, answer = re.split(
r'stem: |stem:|Stem: |Stem:'
r'|options: |options:|Options: |Options:'
r'|Correct answer: |Correct answer:|correct answer: |correct answer:'
r'|answer: |answer:|Answer: |Answer:'
, response)
except:
try:
_, stem, options = re.split(
r'stem: |stem:|Stem: |Stem:'
r'|options: |options:|Options: |Options:'
, response)
answer = None
except:
_, question, answer = re.split(
r'question: |question:|Question: |Question:'
r'|Correct answer: |Correct answer:|correct answer: |correct answer:'
r'|answer: |answer:|Answer: |Answer:'
, response)
stem = None
options = None
while question[-1] == '\n':
question = question[:-1]
if stem:
while stem[-1] == '\n':
stem = stem[:-1]
if options:
options = options.split('\n')
options = [option for option in options if option != '']
if answer is None:
answer = 'None'
for i in range(len(options)):
if 'correct answer' in options[i]:
answer = options[i]
answer = re.split(r'\(correct answer\)|correct answer', answer)
answer = [i for i in answer if i is not None][0]
options[i] = answer
answer = answer.split('\n')[0]
answer, options = normalize_options_and_answer(answer, options)
question = stem + '\n' + options
except Exception as e:
print(f'fail!,reason:{e},response:{response}')
question = 'fail!'
answer = 'fail!'
return question, answer
def response_to_options(response):
options = response.split('\n')
options = [delete_index(option) for option in options]
return options
def generate_word_complete_question(words: List[str], options_number: int = 4) -> List[Dict]:
responses = []
for word in words:
vowels = []
for vowel in vowel_Combination:
if vowel in word:
vowels.append(vowel)
if vowels:
answer = vowels[random.randint(0, len(vowels)-1)]
stem = ''
_stem = word.split(answer)
index = random.randint(0, len(_stem)-2)
for i in range(len(_stem)-1):
if i != index:
stem = stem + _stem[i] + answer
else:
stem = stem + _stem[i] + '_' * len(answer)
stem = stem + _stem[-1]
options = [i for i in vowel_Combination if (len(i) == len(answer)) & (i != answer)]
if len(options) > options_number-1:
random.shuffle(options)
options = options[:options_number-1]
options.append(answer)
else:
index = list(range(len(word)))
num = random.randint(2, 3)
num = len(word)-3 if num > len(word)-3 else num
random.shuffle(index)
ans_index = index[:num]
ans_index.sort()
answer = [word[i]+',' for i in ans_index]
answer = ''.join(answer)
answer = answer[:-1]
stem = ['_' if i in ans_index else word[i] for i in range(len(word))]
stem = ''.join(stem)
options = [answer]
count = 1
while count < options_number:
random.shuffle(index)
option_index = index[:num]
option = [word[i] + ',' for i in option_index]
option = ''.join(option)
option = option[:-1]
if option not in options:
options.append(option)
count += 1
answer, options = normalize_options_and_answer(answer, options)
question = stem + '\n' + options
responses.append({'question': question, 'answer': answer})
return responses
def generate_sentence_recomposition_question(sentences: List[str], generate_mode: bool =False) -> List[Dict]:
responses = []
for sentence in sentences:
try:
prompt = 'f"' + similar_sentence_generate_prompt + '"'
if generate_mode:
try:
prompt = eval(prompt)
sent = _generate(prompt)
sent = re.split(r'[.?!]', sent)[0]
except:
sent = sentence
else:
sent = sentence
answer = sent
words = sent.split(' ')
stem = '______ ' * len(words)
stem = stem[:-1]
symbol = words[-1][-1]
if symbol in ['.', '?', '!', '。', '？', '！']:
stem = stem + symbol
words[-1] = words[-1][:-1]
words_copy = words.copy()
while words_copy == words:
random.shuffle(words)
words = ','.join(words)
question = stem + '\n' + words
responses.append({'question': question, 'answer': answer})
except Exception as e:
print(e)
return responses
def _generate(prompt, model='openai_3'):
model = eval(model_name[model])()
response = model(prompt)
return response
def generate_phrase_select_question(phrases: List[str], options_number: int = 2) -> List[Dict]:
responses = []
num = options_number - 1
for phrase in phrases:
try:
prompt = 'f"' + similar_phrase_generate_prompt + '"'
phrase = phrase[0].upper() + phrase[1:]
prompt = eval(prompt)
response = _generate(prompt)
options = response_to_options(response)
options.append(phrase)
answer, options = normalize_options_and_answer(phrase, options)
# responses.append({'stem': None, 'options': options, 'answer': answer})
responses.append({'question': options, 'answer': answer})
except Exception as e:
print(e)
return responses
def generate_sentence_complete_question(sentences: List[str], options_number: int = 4) -> List[Dict]:
responses = []
num = options_number - 1
for sentence in sentences:
try:
prompt = 'f"' + sentence_complete_question_generate_prompt + '"'
prompt = eval(prompt)
prompt = prompt.replace('.', '\n')
response = _generate(prompt)
question, answer = response_to_question(response)
responses.append({'question': question, 'answer': answer})
except Exception as e:
print(e)
return responses
def generate_grammar_question(grammars: List[str], options_number: int = 4) -> List[Dict]:
responses = []
num = options_number - 1
for grammar in grammars:
try:
prompt = 'f"' + grammar_question_generate_prompt + '"'
prompt = eval(prompt)
prompt = prompt.replace('.', '\n')
response = _generate(prompt)
question, answer = response_to_question(response)
responses.append({'question': question, 'answer': answer})
except Exception as e:
print(e)
return responses
ans1 = generate_word_complete_question(['word', 'manager', 'answer', 'fight', 'jump', 'hihhttgrh'])
# ans2 = generate_phrase_select_question(['the Dragon Boat Festival'], 3)
# ans3 = generate_sentence_recomposition_question(['You really require a lot of talent and hard work to succeed.',
# 'I have a job interview tomorrow.], False)
# ans4 = generate_sentence_complete_question(['You really require a lot of talent and hard work to succeed.',
# 'I have a job interview tomorrow.'])
# ans5 = generate_grammar_question(['be supposed to', 'It is + adj. + 动词不定式'])
# print(ans5)
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