# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.

"""
Get instance high-level information FastMCP tool using configurable
InstanceInfoCore for flexible, extensible metrics calculation.
"""

import logging

from fastmcp import Context
from superset_core.mcp import tool

from superset.mcp_service.mcp_core import InstanceInfoCore
from superset.mcp_service.system.schemas import (
    GetSupersetInstanceInfoRequest,
    InstanceInfo,
)
from superset.mcp_service.system.system_utils import (
    calculate_dashboard_breakdown,
    calculate_database_breakdown,
    calculate_instance_summary,
    calculate_popular_content,
    calculate_recent_activity,
)
from superset.mcp_service.utils.schema_utils import parse_request

logger = logging.getLogger(__name__)


# Configure the instance info core
_instance_info_core = InstanceInfoCore(
    dao_classes={
        "dashboards": None,  # type: ignore[dict-item]  # Will be set at runtime
        "charts": None,  # type: ignore[dict-item]
        "datasets": None,  # type: ignore[dict-item]
        "databases": None,  # type: ignore[dict-item]
        "users": None,  # type: ignore[dict-item]
        "tags": None,  # type: ignore[dict-item]
    },
    output_schema=InstanceInfo,
    metric_calculators={
        "instance_summary": calculate_instance_summary,
        "recent_activity": calculate_recent_activity,
        "dashboard_breakdown": calculate_dashboard_breakdown,
        "database_breakdown": calculate_database_breakdown,
        "popular_content": calculate_popular_content,
    },
    time_windows={
        "recent": 7,
        "monthly": 30,
        "quarterly": 90,
    },
    logger=logger,
)


@tool(tags=["core"])
@parse_request(GetSupersetInstanceInfoRequest)
def get_instance_info(
    request: GetSupersetInstanceInfoRequest, ctx: Context
) -> InstanceInfo:
    """Get instance statistics.

    Returns counts, activity metrics, and database types.
    """
    try:
        # Import DAOs at runtime to avoid circular imports
        from superset.daos.chart import ChartDAO
        from superset.daos.dashboard import DashboardDAO
        from superset.daos.database import DatabaseDAO
        from superset.daos.dataset import DatasetDAO
        from superset.daos.tag import TagDAO
        from superset.daos.user import UserDAO

        # Configure DAO classes at runtime
        _instance_info_core.dao_classes = {
            "dashboards": DashboardDAO,
            "charts": ChartDAO,
            "datasets": DatasetDAO,
            "databases": DatabaseDAO,
            "users": UserDAO,
            "tags": TagDAO,
        }

        # Run the configurable core
        return _instance_info_core.run_tool()

    except Exception as e:
        error_msg = f"Unexpected error in instance info: {str(e)}"
        logger.error(error_msg, exc_info=True)
        raise