"""
PII anonymization callback handler using Microsoft Presidio for text and image redaction.
"""

import base64
import io
import logging
from typing import Any, Dict, List, Optional, Tuple

from .base import AsyncCallbackHandler

try:
    # TODO: Add Presidio dependencies
    from PIL import Image

    PRESIDIO_AVAILABLE = True
except ImportError:
    PRESIDIO_AVAILABLE = False

logger = logging.getLogger(__name__)


class PIIAnonymizationCallback(AsyncCallbackHandler):
    """
    Callback handler that anonymizes PII in text and images using Microsoft Presidio.

    This handler:
    1. Anonymizes PII in messages before sending to the agent loop
    2. Deanonymizes PII in tool calls and message outputs after the agent loop
    3. Redacts PII from images in computer_call_output messages
    """

    def __init__(
        self,
        # TODO: Any extra kwargs if needed
    ):
        """
        Initialize the PII anonymization callback.

        Args:
            anonymize_text: Whether to anonymize text content
            anonymize_images: Whether to redact images
            entities_to_anonymize: List of entity types to anonymize (None for all)
            anonymization_operator: Presidio operator to use ("replace", "mask", "redact", etc.)
            image_redaction_color: RGB color for image redaction
        """
        if not PRESIDIO_AVAILABLE:
            raise ImportError(
                "Presidio is not available. Install with: "
                "pip install cua-agent[pii-anonymization]"
            )

        # TODO: Implement __init__

    async def on_llm_start(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
        """
        Anonymize PII in messages before sending to agent loop.

        Args:
            messages: List of message dictionaries

        Returns:
            List of messages with PII anonymized
        """
        anonymized_messages = []
        for msg in messages:
            anonymized_msg = await self._anonymize_message(msg)
            anonymized_messages.append(anonymized_msg)

        return anonymized_messages

    async def on_llm_end(self, output: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
        """
        Deanonymize PII in tool calls and message outputs after agent loop.

        Args:
            output: List of output dictionaries

        Returns:
            List of output with PII deanonymized for tool calls
        """
        deanonymized_output = []
        for item in output:
            # Only deanonymize tool calls and computer_call messages
            if item.get("type") in ["computer_call", "computer_call_output"]:
                deanonymized_item = await self._deanonymize_item(item)
                deanonymized_output.append(deanonymized_item)
            else:
                deanonymized_output.append(item)

        return deanonymized_output

    async def _anonymize_message(self, message: Dict[str, Any]) -> Dict[str, Any]:
        # TODO: Implement _anonymize_message
        return message

    async def _deanonymize_item(self, item: Dict[str, Any]) -> Dict[str, Any]:
        # TODO: Implement _deanonymize_item
        return item