"""
Azure AI API endpoints
"""

import logging

import azure.core.exceptions
from azure.ai.documentintelligence import DocumentIntelligenceAdministrationClient

# Import the Azure modules including the administration client
from azure.core.credentials import AzureKeyCredential
from fastapi import APIRouter, Request

from app.auth import require_login
from app.config import settings

# Set up logging
logger = logging.getLogger(__name__)

router = APIRouter()


@router.get("/azure/test")
@require_login
async def test_azure_connection(request: Request):
    """
    Test if the configured Azure Document Intelligence connection is valid.
    Uses the DocumentIntelligenceAdministrationClient for testing the connection.
    """
    try:
        logger.info("Testing Azure Document Intelligence connection")

        # Check if Azure configuration is present
        if not settings.azure_endpoint or not settings.azure_ai_key:
            logger.warning("Azure Document Intelligence configuration is incomplete")
            missing = []
            if not settings.azure_endpoint:
                missing.append("endpoint")
            if not settings.azure_ai_key:
                missing.append("API key")

            return {
                "status": "error",
                "message": f"Azure Document Intelligence configuration is incomplete. Missing: {', '.join(missing)}",
            }

        # Try to initialize the admin client and make a request to list operations
        try:
            # Initialize the admin client with credentials
            admin_client = DocumentIntelligenceAdministrationClient(
                endpoint=settings.azure_endpoint, credential=AzureKeyCredential(settings.azure_ai_key)
            )

            # Test the connection by listing operations - this is a documented method in the admin client
            operations = list(admin_client.list_operations())

            # Successfully initialized client and made a request
            logger.info("Azure Document Intelligence Admin connection successfully tested")

            # Return success with available operations info
            operations_info = []
            try:
                for op in operations:
                    if hasattr(op, "operation_id") and op.operation_id:
                        op_info = {
                            "id": op.operation_id,
                            "status": op.status if hasattr(op, "status") else "Unknown",
                            "created": str(op.created_on) if hasattr(op, "created_on") else "Unknown",
                            "kind": op.kind if hasattr(op, "kind") else "Unknown",
                        }
                        operations_info.append(op_info)

                operation_count = len(operations_info)
                return {
                    "status": "success",
                    "message": f"Azure Document Intelligence connection is valid. Found {operation_count} operations.",
                    "endpoint": settings.azure_endpoint,
                    "operations_count": operation_count,
                    "recent_operations": operations_info[:3] if operations_info else [],
                }
            except Exception as e:
                # If error occurs while processing operations info, still return success
                logger.warning(f"Connected to Azure but couldn't parse operations: {e}")
                return {
                    "status": "success",
                    "message": "Azure Document Intelligence connection is valid, "
                    "but couldn't retrieve operations details.",
                    "endpoint": settings.azure_endpoint,
                }

        except azure.core.exceptions.ClientAuthenticationError as e:
            logger.error(f"Azure authentication error: {e}")
            return {
                "status": "error",
                "message": "Authentication error: Invalid API key or credentials",
                "detail": str(e),
            }
        except azure.core.exceptions.ServiceRequestError as e:
            logger.error(f"Azure service request error: {e}")
            return {
                "status": "error",
                "message": "Service request error: Could not reach the Azure endpoint",
                "detail": str(e),
            }
        except ValueError as e:
            logger.error(f"Azure configuration value error: {e}")
            return {"status": "error", "message": f"Configuration error: {str(e)}", "detail": str(e)}
        except Exception as e:
            logger.error(f"Azure connection test failed with unexpected error: {e}")
            return {"status": "error", "message": "Connection test failed with unexpected error", "detail": str(e)}

    except Exception as e:
        logger.exception("Unexpected error testing Azure Document Intelligence connection")
        return {"status": "error", "message": f"Unexpected error: {str(e)}"}