from flask import Flask, request, jsonify
from huggingface_hub import InferenceClient
from gunicorn.glogging import Logger
class Config:
    loglevel = "info"
    # errorlog = "error.log"  # Log file for errors
    # accesslog = "access.log"  # Log file for access logs
    syslog = False
    syslog_facility = "daemon"
    syslog_prefix = "gunicorn"
    capture_output = True
    logconfig = None
    logconfig_json = None
    logconfig_dict = None
    disable_redirect_access_to_syslog = False

cfg = Config()
app = Flask(__name__)
logger = Logger(cfg)
client = InferenceClient("meta-llama/Llama-3.1-8B-Instruct")
DEFAULT_MAX_TOKENS = 512
DEFAULT_TEMPERATURE = 0.7
DEFAULT_TOP_P = 0.95

def generate_journal_suggestion(current_page):
    try:
        suggestion_prompt = (
            f"""Pe baza înregistrării din jurnal: '{current_page}', generează o singură întrebare pe care utilizatorul ar putea să și-o pună într-un jurnal.
            Întrebarea ar trebui să încurajeze reflecția personală mai profundă, explorarea sentimentelor sau clarificarea obiectivelor."""
        )
        logger.info("Generated suggestion prompt: %s", suggestion_prompt)

        suggestion_response = ""
        response_stream = client.chat_completion(
            [
                {"role": "user", "content": suggestion_prompt}
            ],
            max_tokens=150,
            stream=True,
            temperature=DEFAULT_TEMPERATURE,
            top_p=DEFAULT_TOP_P,
        )
        logger.info("Response stream received.")

        for message in response_stream:
            logger.info("Message received: %s", message)
            token = message.choices[0].delta.content
            suggestion_response += token

        return suggestion_response

    except Exception as e:
        logger.error("An error occurred: %s", e)
        return jsonify({"error": str(e)}), 500

@app.route("/", methods=["POST", "GET"])
def home():
    return "Hi!"

@app.route("/chat", methods=["POST"])
def chat():
    try:
        data = request.json
        message = data.get("message", "")
        system_message = data.get("system_message", "You are a friendly chatbot.")
        journal_page = data.get("journal_page", "")

        suggestion = ""
        if journal_page:
            suggestion = generate_journal_suggestion(journal_page)

        return jsonify({"journal_suggestion": suggestion})
    except Exception as e:
        logger.error("Error in chat endpoint: %s", e)
        return jsonify({"error": str(e)}), 500

if __name__ == "__main__":
    app.run(debug=True)