"""
Google Calendar Agent – specialized agent with only Calendar MCP tools.

Uses MCPServerStdio (local subprocess) with create_static_tool_filter so the
agent sees *only* calendar / event tools.  Zero network overhead.
"""

import asyncio
import logging
from openai import AsyncOpenAI
from agents import Agent, Runner, OpenAIChatCompletionsModel
from agents.model_settings import ModelSettings

try:
    from .google_mcp_config import (
        LONGCAT_API_KEY, LONGCAT_BASE_URL, MODEL_NAME,
        CALENDAR_TOOLS, create_google_mcp_server, USER_GOOGLE_EMAIL,
    )
except ImportError:
    from google_mcp_config import (
        LONGCAT_API_KEY, LONGCAT_BASE_URL, MODEL_NAME,
        CALENDAR_TOOLS, create_google_mcp_server, USER_GOOGLE_EMAIL,
    )

logger = logging.getLogger(__name__)

SYSTEM_PROMPT = """\
You are a specialized Google Calendar assistant. You can list calendars,
query events, create / modify / delete events, and check free-busy
availability using the available tools.

Capabilities:
- **List calendars** the user has access to
- **Get events** in a date range (supports filtering by calendar)
- **Create events** with title, description, start/end times, attendees,
  location, recurrence rules, and reminders
- **Modify events** — change any field on an existing event
- **Delete events** by event ID
- **Free/busy queries** — check availability for one or more calendars
  in a given time range

Rules:
1. The user's Google email is provided in the query — use it for every
   tool call in the `user_google_email` parameter. NEVER ask the user
   for their email; it is always supplied.
2. Use ISO 8601 format for dates/times (e.g. "2025-01-15T09:00:00-05:00").
   If the user gives a natural-language date like "next Tuesday at 3 PM",
   convert it to ISO 8601 before calling the tool.
3. When creating or modifying events involving other attendees, list
   their email addresses explicitly.
4. After any create/modify/delete, confirm the change with the event
   title, date, and time.
5. For recurring events, use RRULE syntax (e.g. "RRULE:FREQ=WEEKLY;COUNT=10").
"""


class GoogleCalendarAgent:
    """Thin wrapper around the OpenAI Agent SDK wired to Google Calendar tools."""

    def __init__(self, model: str = MODEL_NAME):
        self.model = model
        self._client = AsyncOpenAI(
            api_key=LONGCAT_API_KEY,
            base_url=LONGCAT_BASE_URL,
            timeout=30.0,
        )

    # ── factory helpers ──────────────────────────────────────────────────
    def _create_mcp_server(self):
        """Spawn a local MCP subprocess with only Calendar tools loaded."""
        return create_google_mcp_server(service="calendar", tool_names=CALENDAR_TOOLS)

    def _create_agent(self, mcp_server) -> Agent:
        return Agent(
            name="Google Calendar Agent",
            instructions=SYSTEM_PROMPT,
            mcp_servers=[mcp_server],
            model=OpenAIChatCompletionsModel(
                model=self.model,
                openai_client=self._client,
            ),
            model_settings=ModelSettings(tool_choice="auto"),
        )

    # ── public API ───────────────────────────────────────────────────────
    async def run(self, query: str) -> str:
        """Spawn MCP connection, run a single query, then clean up."""
        mcp_server = self._create_mcp_server()
        async with mcp_server:
            agent = self._create_agent(mcp_server)
            logger.info("Google Calendar MCP connected – agent ready")
            result = await Runner.run(agent, input=query)
            return result.final_output


# ─── CLI entry point ──────────────────────────────────────────────────────────
async def main():
    agent = GoogleCalendarAgent()
    resp = await agent.run(
        "Show my events for this week. My email is user@example.com"
    )
    print("Agent Response:\n", resp)


if __name__ == "__main__":
    from dotenv import load_dotenv, find_dotenv
    load_dotenv(find_dotenv())
    asyncio.run(main())