ajarbot/adapters/runtime.py

"""
Adapter runtime system for ajarbot.

Connects messaging platform adapters to the Agent instance.
"""

import asyncio
import traceback
from typing import Any, Callable, Dict, List, Optional

from adapters.base import (
    AdapterRegistry,
    BaseAdapter,
    InboundMessage,
    OutboundMessage,
)
from agent import Agent


class AdapterRuntime:
    """
    Runtime system that connects adapters to the Agent.

    Acts as the bridge between messaging platforms (Slack, Telegram, etc.)
    and the Agent (memory + LLM).
    """

    def __init__(
        self,
        agent: Agent,
        registry: Optional[AdapterRegistry] = None,
    ) -> None:
        self.agent = agent
        self.registry = registry or AdapterRegistry()
        self.message_loop_task: Optional[asyncio.Task] = None
        self._message_queue: asyncio.Queue = asyncio.Queue()
        self._is_running = False

        # User ID mapping: platform_user_id -> username
        self._user_mapping: Dict[str, str] = {}

        self._preprocessors: List[
            Callable[[InboundMessage], InboundMessage]
        ] = []
        self._postprocessors: List[
            Callable[[str, InboundMessage], str]
        ] = []

    def add_adapter(self, adapter: BaseAdapter) -> None:
        """Add and configure an adapter."""
        self.registry.register(adapter)
        adapter.register_message_handler(self._on_message_received)

    def map_user(self, platform_user_id: str, username: str) -> None:
        """Map a platform user ID to an ajarbot username."""
        self._user_mapping[platform_user_id] = username

    def get_username(
        self, platform: str, platform_user_id: str
    ) -> str:
        """
        Get ajarbot username for a platform user.

        Falls back to platform_user_id format if no mapping exists.
        """
        key = f"{platform}:{platform_user_id}"
        # Use underscore for fallback to match validation rules
        fallback = f"{platform}_{platform_user_id}"
        return self._user_mapping.get(key, fallback)

    def add_preprocessor(
        self,
        preprocessor: Callable[[InboundMessage], InboundMessage],
    ) -> None:
        """Add a message preprocessor (e.g., for commands, filters)."""
        self._preprocessors.append(preprocessor)

    def add_postprocessor(
        self,
        postprocessor: Callable[[str, InboundMessage], str],
    ) -> None:
        """Add a response postprocessor (e.g., for formatting)."""
        self._postprocessors.append(postprocessor)

    def _on_message_received(self, message: InboundMessage) -> None:
        """Handle incoming message from an adapter.

        This may be called from different event loop contexts (e.g.,
        python-telegram-bot's internal loop vs. our main asyncio loop),
        so we use loop-safe scheduling instead of create_task().
        """
        try:
            loop = asyncio.get_running_loop()
            loop.call_soon_threadsafe(self._message_queue.put_nowait, message)
        except RuntimeError:
            # No running loop - should not happen in normal operation
            # but handle gracefully
            print("[Runtime] Warning: No event loop for message dispatch")
            self._message_queue.put_nowait(message)

    async def _detect_and_send_diagrams(
        self,
        response: str,
        adapter: BaseAdapter,
        channel_id: str,
        thread_id: Optional[str]
    ) -> None:
        """Detect diagram file paths in response and auto-send them.

        Args:
            response: Agent's text response
            adapter: Platform adapter to send files with
            channel_id: Channel/chat ID
            thread_id: Thread/message ID for replies
        """
        import re
        from pathlib import Path

        # Match diagram file paths: "Saved to: path/to/diagram.png"
        # Pattern matches common phrases followed by file path with image/diagram extensions
        pattern = r"(?:Saved|Created|Generated|Exported|File saved|Output file)\s*(?:to|at)?[:\s]+([^\s]+\.(?:png|svg|pdf|jpg|jpeg))"
        matches = re.findall(pattern, response, re.IGNORECASE)

        if not matches:
            return

        sent_files = []
        for file_path_str in matches:
            try:
                file_path = Path(file_path_str)

                # Check if file exists
                if not file_path.exists():
                    print(f"[Runtime] Diagram file not found: {file_path}")
                    continue

                # Send file via adapter
                result = await adapter.send_file(
                    channel_id=channel_id,
                    file_path=str(file_path.absolute()),
                    caption=f"Diagram: {file_path.name}",
                    thread_id=thread_id,
                )

                if result.get("success"):
                    sent_files.append(file_path.name)
                    print(f"[Runtime] Sent diagram file: {file_path.name}")
                else:
                    print(f"[Runtime] Failed to send diagram: {result.get('error')}")
            except Exception as e:
                print(f"[Runtime] Error sending diagram file: {e}")

        if sent_files:
            print(f"[Runtime] Successfully sent {len(sent_files)} diagram file(s)")

    async def _process_message_queue(self) -> None:
        """Background task to process incoming messages."""
        print("[Runtime] Message processing loop started")

        while self._is_running:
            try:
                message = await asyncio.wait_for(
                    self._message_queue.get(), timeout=1.0
                )
                await self._process_message(message)
            except asyncio.TimeoutError:
                continue
            except Exception as e:
                print(f"[Runtime] Error processing message: {e}")
                traceback.print_exc()

        print("[Runtime] Message processing loop stopped")

    async def _process_message(self, message: InboundMessage) -> None:
        """Process a single message."""
        preview = message.text[:50]
        print(
            f"[{message.platform.upper()}] "
            f"Message from {message.username}: {preview}..."
        )

        try:
            # Apply preprocessors
            processed_message = message
            for preprocessor in self._preprocessors:
                processed_message = preprocessor(processed_message)

            username = self.get_username(
                message.platform, message.user_id
            )

            adapter = self.registry.get(message.platform)
            if adapter:
                await adapter.send_typing_indicator(message.channel_id)

            # Capture the event loop for thread-safe progress updates
            event_loop = asyncio.get_running_loop()

            # Create progress callback to send updates to the user
            def progress_callback(update_message: str):
                """Send progress updates to the user during long operations."""
                if adapter:
                    try:
                        # Create outbound message for progress update
                        progress_msg = OutboundMessage(
                            platform=message.platform,
                            channel_id=message.channel_id,
                            text=update_message,
                            thread_id=message.thread_id,
                        )
                        # Run async send in a thread-safe way
                        # Use the captured event loop instead of get_running_loop()
                        # since this callback runs from a thread (agent.chat via to_thread)
                        asyncio.run_coroutine_threadsafe(
                            adapter.send_message(progress_msg),
                            event_loop
                        )
                    except Exception as e:
                        print(f"[Runtime] Failed to send progress update: {e}")

            # Get response from agent (synchronous call in thread)
            response = await asyncio.to_thread(
                self.agent.chat,
                user_message=processed_message.text,
                username=username,
                progress_callback=progress_callback,
                inbound_message=processed_message,
            )

            # Apply postprocessors
            for postprocessor in self._postprocessors:
                response = postprocessor(response, processed_message)

            # NEW: Detect and send diagram files mentioned in response
            if adapter:
                await self._detect_and_send_diagrams(
                    response,
                    adapter,
                    message.channel_id,
                    message.thread_id,
                )

            # Send response back
            if adapter:
                reply_to = (
                    message.metadata.get("ts")
                    or message.metadata.get("message_id")
                )
                outbound = OutboundMessage(
                    platform=message.platform,
                    channel_id=message.channel_id,
                    text=response,
                    thread_id=message.thread_id,
                    reply_to_id=reply_to,
                )

                result = await adapter.send_message(outbound)
                platform_tag = message.platform.upper()

                if result.get("success"):
                    print(
                        f"[{platform_tag}] Response sent "
                        f"({len(response)} chars)"
                    )
                else:
                    print(
                        f"[{platform_tag}] Failed to send response: "
                        f"{result.get('error')}"
                    )

        except Exception as e:
            print(f"[Runtime] Error processing message: {e}")
            traceback.print_exc()
            if hasattr(self.agent, 'healing_system'):
                self.agent.healing_system.capture_error(
                    error=e,
                    component="adapters/runtime.py:_process_message",
                    intent=f"Processing message from {message.platform}",
                    context={
                        "platform": message.platform,
                        "user": message.username,
                        "message_preview": message.text[:100],
                    },
                )
            await self._send_error_reply(message)

    async def _send_error_reply(self, message: InboundMessage) -> None:
        """Attempt to send an error message back to the user."""
        try:
            adapter = self.registry.get(message.platform)
            if adapter:
                error_msg = OutboundMessage(
                    platform=message.platform,
                    channel_id=message.channel_id,
                    text=(
                        "Sorry, I encountered an error processing "
                        "your message. Please try again."
                    ),
                    thread_id=message.thread_id,
                )
                await adapter.send_message(error_msg)
        except Exception:
            pass

    async def start(self) -> None:
        """Start the runtime and all adapters."""
        print("[Runtime] Starting adapter runtime...")
        await self.registry.start_all()

        # Pass the main event loop to the LLM interface so that Agent SDK
        # async calls (from worker threads created by asyncio.to_thread)
        # can be scheduled back onto this loop via run_coroutine_threadsafe.
        loop = asyncio.get_running_loop()
        if hasattr(self.agent, 'llm') and hasattr(self.agent.llm, 'set_event_loop'):
            self.agent.llm.set_event_loop(loop)
            print("[Runtime] Event loop reference passed to LLM interface")

        self._is_running = True
        self.message_loop_task = asyncio.create_task(
            self._process_message_queue()
        )
        print("[Runtime] Runtime started")

    async def stop(self) -> None:
        """Stop the runtime and all adapters."""
        print("[Runtime] Stopping adapter runtime...")

        self._is_running = False
        if self.message_loop_task:
            await self.message_loop_task

        await self.registry.stop_all()
        self.agent.shutdown()
        print("[Runtime] Runtime stopped")

    async def health_check(self) -> Dict[str, Any]:
        """Get health status of all adapters."""
        status: Dict[str, Any] = {
            "runtime_running": self._is_running,
            "adapters": {},
        }

        for adapter in self.registry.get_all():
            adapter_health = await adapter.health_check()
            status["adapters"][adapter.platform_name] = adapter_health

        return status