from datetime import datetime as dt, timezone as tz
from typing import Optional, Dict, Any
from flask import current_app
from sqlalchemy.exc import SQLAlchemyError

from common.extensions import db, cache_manager
from common.models.interaction import (
    Specialist, EveAIAgent, EveAITask, EveAITool
)
from common.utils.model_logging_utils import set_logging_information, update_logging_information


def initialize_specialist(specialist_id: int, specialist_type: str, specialist_version: str):
    """
    Initialize an agentic specialist by creating all its components based on configuration.

    Args:
        specialist_id: ID of the specialist to initialize
        specialist_type: Type of the specialist
        specialist_version: Version of the specialist type to use

    Raises:
        ValueError: If specialist not found or invalid configuration
        SQLAlchemyError: If database operations fail
    """
    config = cache_manager.specialist_config_cache.get_config(specialist_type, specialist_version)
    if not config:
        raise ValueError(f"No configuration found for {specialist_type} version {specialist_version}")
    if config['framework'] == 'langchain':
        pass    # Langchain does not require additional items to be initialized. All configuration is in the specialist.

    specialist = Specialist.query.get(specialist_id)
    if not specialist:
        raise ValueError(f"Specialist with ID {specialist_id} not found")

    if config['framework'] == 'crewai':
        initialize_crewai_specialist(specialist, config)


def initialize_crewai_specialist(specialist: Specialist, config: Dict[str, Any]):
    timestamp = dt.now(tz=tz.utc)

    try:
        # Initialize agents
        if 'agents' in config:
            for agent_config in config['agents']:
                _create_agent(
                    specialist_id=specialist.id,
                    agent_type=agent_config['type'],
                    agent_version=agent_config['version'],
                    name=agent_config.get('name'),
                    description=agent_config.get('description'),
                    timestamp=timestamp
                )

        # Initialize tasks
        if 'tasks' in config:
            for task_config in config['tasks']:
                _create_task(
                    specialist_id=specialist.id,
                    task_type=task_config['type'],
                    task_version=task_config['version'],
                    name=task_config.get('name'),
                    description=task_config.get('description'),
                    timestamp=timestamp
                )

        # Initialize tools
        if 'tools' in config:
            for tool_config in config['tools']:
                _create_tool(
                    specialist_id=specialist.id,
                    tool_type=tool_config['type'],
                    tool_version=tool_config['version'],
                    name=tool_config.get('name'),
                    description=tool_config.get('description'),
                    timestamp=timestamp
                )

        db.session.commit()
        current_app.logger.info(f"Successfully initialized crewai specialist {specialist.id}")

    except SQLAlchemyError as e:
        db.session.rollback()
        current_app.logger.error(f"Database error initializing crewai specialist {specialist.id}: {str(e)}")
        raise
    except Exception as e:
        db.session.rollback()
        current_app.logger.error(f"Error initializing crewai specialist {specialist.id}: {str(e)}")
        raise


def _create_agent(
        specialist_id: int,
        agent_type: str,
        agent_version: str,
        name: Optional[str] = None,
        description: Optional[str] = None,
        timestamp: Optional[dt] = None
) -> EveAIAgent:
    """Create an agent with the given configuration."""
    if timestamp is None:
        timestamp = dt.now(tz=tz.utc)

    # Get agent configuration from cache
    agent_config = cache_manager.agent_config_cache.get_config(agent_type, agent_version)

    agent = EveAIAgent(
        specialist_id=specialist_id,
        name=name or agent_config.get('name', agent_type),
        description=description or agent_config.get('description', ''),
        type=agent_type,
        type_version=agent_version,
        role=None,
        goal=None,
        backstory=None,
        tuning=False,
        configuration=None,
        arguments=None
    )

    set_logging_information(agent, timestamp)

    db.session.add(agent)
    return agent


def _create_task(
        specialist_id: int,
        task_type: str,
        task_version: str,
        name: Optional[str] = None,
        description: Optional[str] = None,
        timestamp: Optional[dt] = None
) -> EveAITask:
    """Create a task with the given configuration."""
    if timestamp is None:
        timestamp = dt.now(tz=tz.utc)

    # Get task configuration from cache
    task_config = cache_manager.task_config_cache.get_config(task_type, task_version)

    task = EveAITask(
        specialist_id=specialist_id,
        name=name or task_config.get('name', task_type),
        description=description or task_config.get('description', ''),
        type=task_type,
        type_version=task_version,
        expected_output=None,
        tuning=False,
        configuration=None,
        arguments=None,
        context=None,
        asynchronous=False,
    )

    set_logging_information(task, timestamp)

    db.session.add(task)
    return task


def _create_tool(
        specialist_id: int,
        tool_type: str,
        tool_version: str,
        name: Optional[str] = None,
        description: Optional[str] = None,
        timestamp: Optional[dt] = None
) -> EveAITool:
    """Create a tool with the given configuration."""
    if timestamp is None:
        timestamp = dt.now(tz=tz.utc)

    # Get tool configuration from cache
    tool_config = cache_manager.tool_config_cache.get_config(tool_type, tool_version)

    tool = EveAITool(
        specialist_id=specialist_id,
        name=name or tool_config.get('name', tool_type),
        description=description or tool_config.get('description', ''),
        type=tool_type,
        type_version=tool_version,
        tuning=False,
        configuration=None,
        arguments=None,
    )

    set_logging_information(tool, timestamp)

    db.session.add(tool)
    return tool