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from __future__ import annotations

import logging
from dataclasses import dataclass, field
from typing import Any

from google.adk.runners import InMemoryRunner
from google.genai import types

from agent.agent import root_agent
from core.config import get_settings

logger = logging.getLogger(__name__)


@dataclass
class SessionState:
    runner: InMemoryRunner


@dataclass
class TurnResult:
    text: str = ""
    tool_calls: list[dict[str, Any]] = field(default_factory=list)


class ADKRuntime:
    def __init__(self) -> None:
        self.settings = get_settings()
        self._sessions: dict[tuple[str, str], SessionState] = {}

    async def run_turn(self, message: str, user_id: str, session_id: str) -> str:
        result = await self.run_turn_detailed(
            message=message,
            user_id=user_id,
            session_id=session_id,
        )
        return result.text

    async def run_turn_detailed(

        self,

        message: str,

        user_id: str,

        session_id: str,

    ) -> TurnResult:
        runner = await self._get_or_create_runner(user_id=user_id, session_id=session_id)

        user_content = types.Content(
            role="user",
            parts=[types.Part.from_text(text=message)],
        )

        latest_text = ""
        tool_calls: list[dict[str, Any]] = []
        async for event in runner.run_async(
            user_id=user_id,
            session_id=session_id,
            new_message=user_content,
        ):
            extracted = self._extract_text(event)
            if extracted.strip():
                latest_text = extracted

            new_tool_responses = self._extract_tool_responses(event)
            if new_tool_responses:
                tool_calls.extend(new_tool_responses)

        return TurnResult(text=latest_text.strip(), tool_calls=tool_calls)

    async def _get_or_create_runner(self, user_id: str, session_id: str) -> InMemoryRunner:
        key = (user_id, session_id)
        existing = self._sessions.get(key)
        if existing is not None:
            return existing.runner

        runner = InMemoryRunner(agent=root_agent, app_name=self.settings.app_name)
        await runner.session_service.create_session(
            app_name=self.settings.app_name,
            user_id=user_id,
            session_id=session_id,
        )
        self._sessions[key] = SessionState(runner=runner)
        return runner

    @staticmethod
    def _extract_text(event: Any) -> str:
        content = getattr(event, "content", None)
        if content is None:
            return ""

        parts = getattr(content, "parts", None)
        if not parts:
            return ""

        chunks: list[str] = []
        for part in parts:
            text = getattr(part, "text", None)
            if isinstance(text, str) and text:
                chunks.append(text)

        return "\n".join(chunks)

    @staticmethod
    def _debug_dump_event(event: Any) -> None:
        try:
            import json
            from pathlib import Path
            payload: dict[str, Any] = {"type": type(event).__name__}
            content = getattr(event, "content", None)
            if content is not None:
                payload["content_role"] = getattr(content, "role", None)
                parts_info = []
                for part in getattr(content, "parts", None) or []:
                    fr = getattr(part, "function_response", None)
                    info: dict[str, Any] = {
                        "has_text": bool(getattr(part, "text", None)),
                        "has_function_call": bool(getattr(part, "function_call", None)),
                        "has_function_response": bool(fr),
                    }
                    if fr is not None:
                        info["fr_name"] = getattr(fr, "name", None)
                        resp = getattr(fr, "response", None)
                        info["fr_response_type"] = type(resp).__name__
                        info["fr_response_repr"] = repr(resp)[:1500]
                        if isinstance(resp, dict):
                            info["fr_response_keys"] = list(resp.keys())
                    parts_info.append(info)
                payload["parts"] = parts_info
            log_path = Path(__file__).resolve().parents[1] / "logs" / "adk-events.log"
            log_path.parent.mkdir(parents=True, exist_ok=True)
            with log_path.open("a", encoding="utf-8") as fh:
                fh.write(json.dumps(payload, default=str) + "\n")
        except Exception as exc:
            try:
                from pathlib import Path
                log_path = Path(__file__).resolve().parents[1] / "logs" / "adk-events.log"
                with log_path.open("a", encoding="utf-8") as fh:
                    fh.write(f"DUMP-ERR: {exc}\n")
            except Exception:
                pass

    @staticmethod
    def _extract_tool_responses(event: Any) -> list[dict[str, Any]]:
        """Pull MCP tool responses out of an ADK event so we can render their UI payloads."""
        content = getattr(event, "content", None)
        if content is None:
            return []
        parts = getattr(content, "parts", None) or []

        responses: list[dict[str, Any]] = []
        for part in parts:
            function_response = getattr(part, "function_response", None)
            if function_response is None:
                continue
            name = getattr(function_response, "name", None) or ""
            response = getattr(function_response, "response", None)
            payload = ADKRuntime._coerce_tool_payload(response)
            if payload is None:
                continue
            responses.append({"name": name, "response": payload})

        # ADK sometimes surfaces tool results via convenience attributes on the
        # event itself (e.g. event.actions.state_delta or event.tool_responses).
        # Dig those up too so we don't miss the UI payload.
        for attr in ("tool_responses", "function_responses"):
            extra = getattr(event, attr, None)
            if not extra:
                continue
            if isinstance(extra, list):
                for item in extra:
                    name = getattr(item, "name", None) or ""
                    response = getattr(item, "response", None)
                    payload = ADKRuntime._coerce_tool_payload(response)
                    if payload is not None:
                        responses.append({"name": name, "response": payload})

        return responses

    @staticmethod
    def _coerce_tool_payload(value: Any) -> dict[str, Any] | None:
        """Unwrap a tool response into a plain dict.



        ADK + MCP delivers tool results as one of several shapes:

          1. ``{"result": <plain dict>}``      — direct ADK function tool

          2. ``{"result": CallToolResult(...)}``— MCP toolset wraps the response

             into an ``mcp.types.CallToolResult`` whose ``content`` is a list of

             ``TextContent`` items carrying JSON-encoded text.

          3. ``CallToolResult(...)``           — same as above, unwrapped.

          4. plain dict already.

        """
        import json

        # Step 1: pull off the optional "result" wrapper.
        if isinstance(value, dict) and "result" in value and len(value) == 1:
            value = value["result"]

        # Step 2: plain dict — done.
        if isinstance(value, dict):
            return value

        # Step 3: MCP CallToolResult / TextContent. Detect by duck-typing the
        # ``content`` attribute that holds a list of items with ``.text``.
        content_items = getattr(value, "content", None)
        if isinstance(content_items, list) and content_items:
            for item in content_items:
                text = getattr(item, "text", None)
                if isinstance(text, str) and text.strip():
                    try:
                        parsed = json.loads(text)
                        if isinstance(parsed, dict):
                            return parsed
                    except json.JSONDecodeError:
                        continue

        # Step 4: protobuf Struct fallback.
        to_dict = getattr(value, "to_dict", None)
        if callable(to_dict):
            try:
                converted = to_dict()
                if isinstance(converted, dict):
                    return converted.get("result", converted)
            except Exception:
                return None

        return None