from core.lib.prompts import bases
from openai import AsyncOpenAI
from asgiref.sync import sync_to_async
from core.models import Message, ChatSession, AI, Person, Manipulation
from core.util import logs
import json
from django.utils import timezone
from core.messaging import ai
from core.messaging.utils import messages_to_string

SUMMARIZE_WHEN_EXCEEDING = 10
SUMMARIZE_BY = 5

MAX_SUMMARIES = 3  # Keep last 5 summaries

log = logs.get_logger("prompts")


async def delete_messages(queryset):
    await sync_to_async(queryset.delete, thread_sensitive=True)()

async def truncate_and_summarize(
        chat_session: ChatSession,
        ai_obj: AI,
        ):
    """
    Summarizes messages in chunks to prevent unchecked growth.
    - Summarizes only non-summary messages.
    - Deletes older summaries if too many exist.
    - Ensures only messages belonging to `chat_session.user` are modified.
    """
    user = chat_session.user  # Store the user for ownership checks

    # 🔹 Get non-summary messages owned by the session's user
    messages = await sync_to_async(list)(
        Message.objects.filter(session=chat_session, user=user)
        .exclude(custom_author="SUM")
        .order_by("ts")
    )

    num_messages = len(messages)

    if num_messages >= SUMMARIZE_WHEN_EXCEEDING:
        log.info(f"Summarizing {SUMMARIZE_BY} messages for session {chat_session.id}")

        # Get the first `SUMMARIZE_BY` non-summary messages
        chunk_to_summarize = messages[:SUMMARIZE_BY]

        if not chunk_to_summarize:
            log.warning("No messages available to summarize (only summaries exist). Skipping summarization.")
            return

        last_ts = chunk_to_summarize[-1].ts  # Preserve timestamp

        # 🔹 Get past summaries, keeping only the last few (owned by the session user)
        summary_messages = await sync_to_async(list)(
            Message.objects.filter(session=chat_session, user=user, custom_author="SUM")
            .order_by("ts")
        )

        # Delete old summaries if there are too many
        if len(summary_messages) >= MAX_SUMMARIES:
            summary_text = await summarize_conversation(chat_session, summary_messages, ai_obj, is_summary=True)

            chat_session.summary = summary_text
            await sync_to_async(chat_session.save)()
            log.info(f"Updated ChatSession summary with {len(summary_messages)} consolidated summaries.")

            num_to_delete = len(summary_messages) - MAX_SUMMARIES
            # await sync_to_async(
            #     Message.objects.filter(session=chat_session, user=user, id__in=[msg.id for msg in summary_messages[:num_to_delete]])
            #     .delete()
            # )()
            await delete_messages(
                Message.objects.filter(
                    session=chat_session, 
                    user=user, 
                    id__in=[msg.id for msg in summary_messages[:num_to_delete]]
                )
            )
            log.info(f"Deleted {num_to_delete} old summaries.")

        # 🔹 Summarize conversation chunk
        summary_text = await summarize_conversation(chat_session, chunk_to_summarize, ai_obj)

        # 🔹 Replace old messages with the summary
        # await sync_to_async(
        #     Message.objects.filter(session=chat_session, user=user, id__in=[msg.id for msg in chunk_to_summarize])
        #     .delete()
        # )()
        await delete_messages(Message.objects.filter(session=chat_session, user=user, id__in=[msg.id for msg in chunk_to_summarize]))
        log.info(f"Deleted {len(chunk_to_summarize)} messages, replacing with summary.")

        # 🔹 Store new summary message (ensuring session=user consistency)
        await sync_to_async(Message.objects.create)(
            user=user,
            session=chat_session,
            custom_author="SUM",
            text=summary_text,
            ts=last_ts,  # Preserve timestamp
        )

        # 🔹 Update ChatSession summary with latest merged summary
        # chat_session.summary = summary_text
        # await sync_to_async(chat_session.save)()




async def summarize_conversation(
        chat_session: ChatSession,
        messages: list[Message],
        ai_obj,
        is_summary=False,
):
    """
    Summarizes all stored messages into a single summary.
    
    - If `is_summary=True`, treats input as previous summaries and merges them while keeping detail.
    - If `is_summary=False`, summarizes raw chat messages concisely.
    """

    log.info(f"Summarizing messages for session {chat_session.id}")

    # Convert messages to structured text format
    message_texts = messages_to_string(messages)
    #log.info(f"Raw messages to summarize:\n{message_texts}")

    # Select appropriate summarization instruction
    instruction = (
        "Merge and refine these past summaries, keeping critical details and structure intact."
        if is_summary
        else "Summarize this conversation concisely, maintaining important details and tone."
    )

    summary_prompt = [
        {"role": "system", "content": instruction},
        {"role": "user", "content": f"Conversation:\n{message_texts}\n\nProvide a clear and structured summary:"},
    ]

    # Generate AI-based summary
    summary_text = await ai.run_prompt(summary_prompt, ai_obj)
    #log.info(f"Generated Summary: {summary_text}")

    return f"Summary: {summary_text}"