Fixed level issues

This commit is contained in:
Carlos-Mesquita
2024-11-10 04:21:36 +00:00
parent cf1b676312
commit 6909d75eb6
15 changed files with 101 additions and 84 deletions

View File

@@ -11,11 +11,12 @@ class FillBlanks:
async def gen_fill_blanks(
self, quantity: int, start_id: int, size: int, topic=None
self, start_id: int, quantity: int, size: int = 300, topic=None
):
if not topic:
topic = random.choice(EducationalContent.MTI_TOPICS)
print(quantity)
print(start_id)
messages = [
{
"role": "system",
@@ -28,19 +29,18 @@ class FillBlanks:
{
"role": "user",
"content": (
f'From the generated text choose {quantity} words (cannot be sequential words) to replace '
'once with {{id}} where id starts on ' + str(start_id) + ' and is incremented for each word. '
'The ids must be ordered throughout the text and the words must be replaced only once. '
'For each removed word you will place it in the solutions array and assign a letter from A to D,'
' then you will place that removed word and the chosen letter on the words array along with '
' other 3 other words for the remaining letter. This is a fill blanks question for an english '
'exam, so don\'t choose words completely at random.'
f'From the generated text choose exactly {quantity} words (cannot be sequential words) replace '
'each with {{id}} (starting from ' + str(start_id) + ' and incrementing), then generate a '
'JSON object containing: the modified text, a solutions array with each word\'s correct '
'letter (A-D), and a words array containing each id with four options where one is '
'the original word (matching the solution) and three are plausible but incorrect '
'alternatives that maintain grammatical consistency. '
'You cannot use repeated words!' #TODO: Solve this after
)
}
]
question = await self._llm.prediction(
GPTModels.GPT_4_O, messages, ["question"], TemperatureSettings.GEN_QUESTION_TEMPERATURE
GPTModels.GPT_4_O, messages, [], TemperatureSettings.GEN_QUESTION_TEMPERATURE
)
return {
**question,
@@ -56,7 +56,7 @@ class FillBlanks:
"solutions": [
{
"id": "",
"solution": ""
"solution": "<A,B,C or D>"
}
],
"words": [

View File

@@ -13,15 +13,12 @@ class PassageUtas:
self._mc_variants = mc_variants
async def gen_reading_passage_utas(
self, start_id, mc_quantity: int, topic: Optional[str] # sa_quantity: int,
self, start_id, mc_quantity: int, topic: Optional[str], word_size: Optional[int] # sa_quantity: int,
):
passage = await self._reading_service.generate_reading_passage(1, topic)
passage = await self._reading_service.generate_reading_passage(1, topic, word_size)
mc_exercises = await self._gen_text_multiple_choice_utas(passage["text"], start_id, mc_quantity)
#short_answer = await self._gen_short_answer_utas(passage["text"], start_id, sa_quantity)
# + sa_quantity, mc_quantity)
mc_exercises["type"] = "multipleChoice"
"""
exercises: {
"shortAnswer": short_answer,
@@ -29,11 +26,12 @@ class PassageUtas:
},
"""
return {
"exercises": mc_exercises,
"text": {
**mc_exercises,
"passage": {
"content": passage["text"],
"title": passage["title"]
}
},
"mcVariant": "passageUtas"
}
async def _gen_short_answer_utas(self, text: str, start_id: int, sa_quantity: int):