coresugg.py

# core.py

from pydantic import BaseModel
import openai
from environs import Env

# Load environment variables
env = Env()
env.read_env("openai.env")  # Adjust the file name as needed

# Set OpenAI API key
openai.api_key = env.str("OPENAI_API_KEY")

# Define constants from environment variables
SYSTEM_PROMPT = env.str("SYSTEM_PROMPT", "generate 3 different friendly short conversation starter for a user to another unknown user.")
MODEL = env.str("MODEL", "gpt-3.5-turbo")
NUMBER_OF_MESSAGES_FOR_CONTEXT = min(env.int("NUMBER_OF_MESSAGES_FOR_CONTEXT", 4), 10)
AI_RESPONSE_TIMEOUT = env.int("AI_RESPONSE_TIMEOUT", 20)

class ConversationPayload(BaseModel):
    fromusername: str
    tousername: str
    FromUserKavasQuestions: list
    ToUserKavasQuestions: list
    Chatmood: str

def create_conversation_starter_prompt(user_questions, chatmood):
    formatted_info = " ".join([f"{qa['Question']} - {qa['Answer']}" for qa in user_questions if qa['Answer']])
    prompt = (f"Based on user profile info and a {chatmood} mood, "
              f"generate 3 subtle and very short conversation starters. "
              f"Explore various topics like travel, hobbies, movies, and not just culinary tastes. "
              f"\nProfile Info: {formatted_info}")
    return prompt

def generate_conversation_starters(prompt):
    try:
        response = openai.ChatCompletion.create(
            model=MODEL,
            messages=[{"role": "system", "content": prompt}],
            temperature=0.7,
            max_tokens=100,
            n=1,
            request_timeout=AI_RESPONSE_TIMEOUT
        )
        return response.choices[0].message["content"]
    except openai.error.OpenAIError as e:
        raise Exception(f"OpenAI API error: {str(e)}")
    except Exception as e:
        raise Exception(f"Unexpected error: {str(e)}")