|
| 1 | +from utils import load_persona_json, save_question_json |
| 2 | +from langchain_core.prompts import ChatPromptTemplate |
| 3 | +from langchain_openai.chat_models import ChatOpenAI |
| 4 | +from tqdm import tqdm |
| 5 | + |
| 6 | +from argparse import ArgumentParser |
| 7 | +import os |
| 8 | + |
| 9 | + |
| 10 | +def get_persona_prompt(persona): |
| 11 | + return f""" |
| 12 | + Name: {persona.name} |
| 13 | + Department: {persona.department} |
| 14 | + Role: {persona.role} |
| 15 | + Background: {persona.background} |
| 16 | + """ |
| 17 | + |
| 18 | + |
| 19 | +def split_question(question): |
| 20 | + question = question.content |
| 21 | + # remove - |
| 22 | + question = question.replace("- ", "") |
| 23 | + return question.split("\n") |
| 24 | + |
| 25 | + |
| 26 | +def gen_question(persona): |
| 27 | + llm = llm = ChatOpenAI(model="gpt-4.1-nano", temperature=0) |
| 28 | + prompt = get_persona_prompt(persona) |
| 29 | + system_prompt = """당신은 <persona> 에 해당하는 사람이며 Text2SQL 서비스를 사용하고 있다. 궁금한 질문들을 아래 <format> 에 해당하는 형식으로 질문하라 질문은 다양하게 생성하라 |
| 30 | +
|
| 31 | +<persona> |
| 32 | +{persona_prompt} |
| 33 | +</persona> |
| 34 | +
|
| 35 | +<format> |
| 36 | +- 질문 1 |
| 37 | +- 질문 2 |
| 38 | +- 질문 3 |
| 39 | +... |
| 40 | +- 질문 n |
| 41 | +</format> |
| 42 | +""" |
| 43 | + prompt = ChatPromptTemplate.from_messages( |
| 44 | + [ |
| 45 | + ("system", system_prompt), |
| 46 | + ] |
| 47 | + ) |
| 48 | + |
| 49 | + chain = prompt | llm |
| 50 | + result = {} |
| 51 | + |
| 52 | + question = chain.invoke({"persona_prompt": prompt}) |
| 53 | + result["questions"] = split_question(question) |
| 54 | + result["questions_md"] = question.content |
| 55 | + result["persona"] = persona |
| 56 | + return result |
| 57 | + |
| 58 | + |
| 59 | +def main(persona_path, output_dir): |
| 60 | + personas = load_persona_json(persona_path) |
| 61 | + for i, persona in tqdm(enumerate(personas.personas)): |
| 62 | + result = gen_question(persona) |
| 63 | + file_path = os.path.join(output_dir, f"{i}.json") |
| 64 | + save_question_json(result, file_path) |
| 65 | + |
| 66 | + |
| 67 | +if __name__ == "__main__": |
| 68 | + parser = ArgumentParser() |
| 69 | + parser.add_argument("--persona_path", type=str, default="data/personas.json") |
| 70 | + parser.add_argument("--output_dir", type=str, default="data/questions") |
| 71 | + args = parser.parse_args() |
| 72 | + main(args.persona_path, args.output_dir) |
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