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Fix level exam generation

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This commit is contained in:
Cristiano Ferreira
2024-02-17 15:40:19 +00:00
parent a200b29dba
commit 1bd012d340
3 changed files with 84 additions and 47 deletions
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85
helper/exercises.py
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@@ -6,7 +6,7 @@ import uuid
from helper.api_messages import QuestionType
from helper.firebase_helper import get_all
from helper.openai_interface import make_openai_instruct_call
from helper.openai_interface import make_openai_instruct_call, make_openai_call
from helper.token_counter import count_tokens
from helper.constants import *
from wonderwords import RandomWord
@@ -682,47 +682,58 @@ def gen_multiple_choice_level(quantity: int, start_id=1):
"questions and some advanced questions. Ensure that the questions cover a range of topics such as " \
"verb tense, subject-verb agreement, pronoun usage, sentence structure, and punctuation. Make sure " \
"every question only has 1 correct answer."
messages = [{
"role": "user",
"content": gen_multiple_choice_for_text
}]
token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"] - 300
mc_questions = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
mc_questions = make_openai_call(GPT_4_PREVIEW, messages, token_count,
None,
GEN_QUESTION_TEMPERATURE)
split_mc_questions = mc_questions.split('13')
if not '25' in mc_questions:
return gen_multiple_choice_level(quantity, start_id)
else:
split_mc_questions = mc_questions.split('13')
parse_mc_questions = ('Parse the questions into this json format: {"questions": [{"id": "9", "options": '
'[{"id": "A", "text": '
'"And"}, {"id": "B", "text": "Cat"}, {"id": "C", "text": '
'"Happy"}, {"id": "D", "text": "Jump"}], '
'"prompt": "Which of the following is a conjunction?", '
'"solution": "A", "variant": "text"}]}. '
'\nThe questions: "' + split_mc_questions[0] + '"')
token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
["questions"],
GEN_QUESTION_TEMPERATURE)
parse_mc_questions = ('Parse the questions into this json format: {"questions": [{"id": "9", "options": '
'[{"id": "A", "text": '
'"And"}, {"id": "B", "text": "Cat"}, {"id": "C", "text": '
'"Happy"}, {"id": "D", "text": "Jump"}], '
'"prompt": "Which of the following is a conjunction?", '
'"solution": "A", "variant": "text"}]}. '
'\nThe questions: "' + '13' + split_mc_questions[1] + '"')
token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
question_2 = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
["questions"],
GEN_QUESTION_TEMPERATURE)
question["questions"].extend(question_2["questions"])
parse_mc_questions = ('Parse the questions into this json format: \n\'{"questions": [{"id": "9", "options": '
'[{"id": "A", "text": '
'"And"}, {"id": "B", "text": "Cat"}, {"id": "C", "text": '
'"Happy"}, {"id": "D", "text": "Jump"}], '
'"prompt": "Which of the following is a conjunction?", '
'"solution": "A", "variant": "text"}]}\'\n '
'\nThe questions: "' + split_mc_questions[0] + '"')
token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
["questions"],
GEN_QUESTION_TEMPERATURE)
print(question)
parse_mc_questions = ('Parse the questions into this json format: \n\'{"questions": [{"id": "9", "options": '
'[{"id": "A", "text": '
'"And"}, {"id": "B", "text": "Cat"}, {"id": "C", "text": '
'"Happy"}, {"id": "D", "text": "Jump"}], '
'"prompt": "Which of the following is a conjunction?", '
'"solution": "A", "variant": "text"}]}\'\n '
'\nThe questions: "' + '13' + split_mc_questions[1] + '"')
token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
question_2 = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
["questions"],
GEN_QUESTION_TEMPERATURE)
print(question_2)
question["questions"].extend(question_2["questions"])
all_exams = get_all("level")
seen_keys = set()
for i in range(len(question["questions"])):
question["questions"][i], seen_keys = replace_exercise_if_exists(all_exams, question["questions"][i], question,
seen_keys)
return {
"id": str(uuid.uuid4()),
"prompt": "Select the appropriate option.",
"questions": fix_exercise_ids(question, start_id)["questions"],
"type": "multipleChoice",
}
all_exams = get_all("level")
seen_keys = set()
for i in range(len(question["questions"])):
question["questions"][i], seen_keys = replace_exercise_if_exists(all_exams, question["questions"][i], question,
seen_keys)
return {
"id": str(uuid.uuid4()),
"prompt": "Select the appropriate option.",
"questions": fix_exercise_ids(question, start_id)["questions"],
"type": "multipleChoice",
}
def replace_exercise_if_exists(all_exams, current_exercise, current_exam, seen_keys):