devops/encoach_backend
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add endpoint for custom level exams.

Browse Source
This commit is contained in:
Cristiano Ferreira
2024-07-24 19:58:53 +01:00
parent 4776f24229
commit 9be9bfce0e
2 changed files with 111 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
app.py
View File

@@ -1481,6 +1481,55 @@ def get_level_utas():
except Exception as e:
return str(e)
from enum import Enum
class CustomLevelExerciseTypes(Enum):
MULTIPLE_CHOICE_4 = "multiple_choice_4"
MULTIPLE_CHOICE_BLANK_SPACE = "multiple_choice_blank_space"
MULTIPLE_CHOICE_UNDERLINED = "multiple_choice_underlined"
BLANK_SPACE_TEXT = "blank_space_text"
READING_PASSAGE_UTAS = "reading_passage_utas"
@app.route('/custom_level', methods=['GET'])
@jwt_required()
def get_custom_level():
nr_exercises = int(request.args.get('nr_exercises'))
exercise_id = 1
response = {
"exercises": {},
"module": "level"
}
for i in range(1, nr_exercises + 1, 1):
exercise_type = request.args.get('exercise_' + str(i) + '_type')
exercise_qty = int(request.args.get('exercise_' + str(i) + '_qty', -1))
exercise_topic = request.args.get('exercise_' + str(i) + '_topic')
exercise_text_size = int(request.args.get('exercise_' + str(i) + '_text_size', -1))
exercise_sa_qty = int(request.args.get('exercise_' + str(i) + '_sa_qty', -1))
exercise_mc_qty = int(request.args.get('exercise_' + str(i) + '_mc_qty', -1))
if exercise_type == CustomLevelExerciseTypes.MULTIPLE_CHOICE_4.value:
response["exercises"]["exercise_" + str(i)] = generate_level_mc(exercise_id, exercise_qty)
response["exercises"]["exercise_" + str(i)]["type"] = "multipleChoice"
exercise_id = exercise_id + exercise_qty
elif exercise_type == CustomLevelExerciseTypes.MULTIPLE_CHOICE_BLANK_SPACE.value:
response["exercises"]["exercise_" + str(i)] = gen_multiple_choice_blank_space_utas(exercise_qty, exercise_id)
response["exercises"]["exercise_" + str(i)]["type"] = "multipleChoice"
exercise_id = exercise_id + exercise_qty
elif exercise_type == CustomLevelExerciseTypes.MULTIPLE_CHOICE_UNDERLINED.value:
response["exercises"]["exercise_" + str(i)] = gen_multiple_choice_underlined_utas(exercise_qty, exercise_id)
response["exercises"]["exercise_" + str(i)]["type"] = "multipleChoice"
exercise_id = exercise_id + exercise_qty
elif exercise_type == CustomLevelExerciseTypes.BLANK_SPACE_TEXT.value:
response["exercises"]["exercise_" + str(i)] = gen_blank_space_text_utas(exercise_qty, exercise_id, exercise_text_size)
response["exercises"]["exercise_" + str(i)]["type"] = "blankSpaceText"
exercise_id = exercise_id + exercise_qty
elif exercise_type == CustomLevelExerciseTypes.READING_PASSAGE_UTAS.value:
response["exercises"]["exercise_" + str(i)] = gen_reading_passage_utas(exercise_id, exercise_sa_qty, exercise_mc_qty, exercise_topic)
response["exercises"]["exercise_" + str(i)]["type"] = "readingExercises"
exercise_id = exercise_id + exercise_qty
return response
@app.route('/fetch_tips', methods=['POST'])
@jwt_required()

69
helper/exercises.py
View File

@@ -1330,7 +1330,7 @@ def parse_conversation(conversation_data):
return "\n".join(readable_text)
def gen_multiple_choice_blank_space_utas(quantity: int, start_id: int, all_exams):
def gen_multiple_choice_blank_space_utas(quantity: int, start_id: int, all_exams=None):
gen_multiple_choice_for_text = "Generate " + str(
quantity) + " multiple choice blank space questions of 4 options for an english level exam, some easy questions, some intermediate " \
"questions and some advanced questions. Ensure that the questions cover a range of topics such as " \
@@ -1362,11 +1362,12 @@ def gen_multiple_choice_blank_space_utas(quantity: int, start_id: int, all_exams
if len(question["questions"]) != quantity:
return gen_multiple_choice_level(quantity, start_id)
else:
seen_keys = set()
for i in range(len(question["questions"])):
question["questions"][i], seen_keys = replace_exercise_if_exists_utas(all_exams, question["questions"][i],
question,
seen_keys)
if all_exams is not None:
seen_keys = set()
for i in range(len(question["questions"])):
question["questions"][i], seen_keys = replace_exercise_if_exists_utas(all_exams, question["questions"][i],
question,
seen_keys)
return fix_exercise_ids(question, start_id)
@@ -1436,7 +1437,7 @@ def gen_multiple_choice_underlined_utas(quantity: int, start_id: int):
if len(question["questions"]) != quantity:
return gen_multiple_choice_level(quantity, start_id)
else:
return fix_exercise_ids(question, start_id)["questions"]
return fix_exercise_ids(question, start_id)
def gen_blank_space_text_utas(quantity: int, start_id: int, size: int, topic=random.choice(mti_topics)):
@@ -1590,3 +1591,57 @@ def gen_text_multiple_choice_utas(text: str, start_id: int, mc_quantity: int):
return gen_multiple_choice_level(mc_quantity, start_id)
else:
return fix_exercise_ids(question, start_id)["questions"]
def generate_level_mc(start_id: int, quantity: int):
json_format = {
"questions": [
{
"id": "9",
"options": [
{
"id": "A",
"text": "a"
},
{
"id": "B",
"text": "b"
},
{
"id": "C",
"text": "c"
},
{
"id": "D",
"text": "d"
}
],
"prompt": "prompt",
"solution": "A",
"variant": "text"
}
]
}
messages = [
{
"role": "system",
"content": 'You are a helpful assistant designed to output JSON on this format: ' + str(json_format)
},
{
"role": "user",
"content": ('Generate ' + str(quantity) + ' multiple choice question of 4 options for an english level '
'exam, it can be easy, intermediate or advanced.')
},
{
"role": "user",
"content": 'Make sure every question only has 1 correct answer.'
}
]
token_count = count_total_tokens(messages)
question = make_openai_call(GPT_4_O, messages, token_count, ["questions"],
GEN_QUESTION_TEMPERATURE)
return fix_exercise_ids(question, start_id)