# pylint: disable=line-too-long,useless-suppression
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------

"""
DESCRIPTION:
    This sample demonstrates how to use Agent operations with an event handler and
    the Bing grounding tool. It uses a synchronous client.

USAGE:
    python sample_agents_stream_eventhandler_with_bing_grounding.py

    Before running the sample:

    pip install azure-ai-projects azure-ai-agents azure-identity

    Set these environment variables with your own values:
    1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
                          page of your Azure AI Foundry portal.
    2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
       the "Models + endpoints" tab in your Azure AI Foundry project.
    3) BING_CONNECTION_NAME - The name of a connection to the Bing search resource as it is
       listed in Azure AI Foundry connected resources.
"""

import os
import re
from typing import Any
from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient
from azure.ai.agents.models import (
    MessageDeltaChunk,
    RunStep,
    ThreadMessage,
    ThreadRun,
    AgentEventHandler,
    BingGroundingTool,
    MessageRole,
    MessageDeltaTextUrlCitationAnnotation,
    MessageDeltaTextContent,
)


class MyEventHandler(AgentEventHandler):

    def on_message_delta(self, delta: "MessageDeltaChunk") -> None:
        # Do not print reference text as we will show actual citation instead.
        if re.match(r"\u3010(.+)\u3011", delta.text) is None:
            print(f"Text delta received: {delta.text}")
        if delta.delta.content and isinstance(delta.delta.content[0], MessageDeltaTextContent):
            delta_text_content = delta.delta.content[0]
            if delta_text_content.text and delta_text_content.text.annotations:
                for delta_annotation in delta_text_content.text.annotations:
                    if isinstance(delta_annotation, MessageDeltaTextUrlCitationAnnotation):
                        print(
                            f"URL citation delta received: [{delta_annotation.url_citation.title}]({delta_annotation.url_citation.url})"
                        )

    def on_thread_message(self, message: "ThreadMessage") -> None:
        print(f"ThreadMessage created. ID: {message.id}, Status: {message.status}")

    def on_thread_run(self, run: "ThreadRun") -> None:
        print(f"ThreadRun status: {run.status}")

        if run.status == "failed":
            print(f"Run failed. Error: {run.last_error}")

    def on_run_step(self, step: "RunStep") -> None:
        print(f"RunStep type: {step.type}, Status: {step.status}")

    def on_error(self, data: str) -> None:
        print(f"An error occurred. Data: {data}")

    def on_done(self) -> None:
        print("Stream completed.")

    def on_unhandled_event(self, event_type: str, event_data: Any) -> None:
        print(f"Unhandled Event Type: {event_type}, Data: {event_data}")


project_client = AIProjectClient(
    endpoint=os.environ["PROJECT_ENDPOINT"],
    credential=DefaultAzureCredential(),
)

with project_client:
    agents_client = project_client.agents

    bing_connection_id = project_client.connections.get(os.environ["BING_CONNECTION_NAME"]).id
    print(f"Bing Connection ID: {bing_connection_id}")

    # Initialize agent bing tool and add the connection id
    bing = BingGroundingTool(connection_id=bing_connection_id)

    agent = agents_client.create_agent(
        model=os.environ["MODEL_DEPLOYMENT_NAME"],
        name="my-agent",
        instructions="You are a helpful agent",
        tools=bing.definitions,
    )
    print(f"Created agent, ID: {agent.id}")

    thread = agents_client.threads.create()
    print(f"Created thread, thread ID {thread.id}")

    message = agents_client.messages.create(
        thread_id=thread.id,
        role=MessageRole.USER,
        content="How does wikipedia explain Euler's Identity?",
    )
    print(f"Created message, message ID {message.id}")

    with agents_client.runs.stream(thread_id=thread.id, agent_id=agent.id, event_handler=MyEventHandler()) as stream:
        stream.until_done()

    agents_client.delete_agent(agent.id)
    print("Deleted agent")

    response_message = agents_client.messages.get_last_message_by_role(thread_id=thread.id, role=MessageRole.AGENT)
    if response_message:
        responses = []
        for text_message in response_message.text_messages:
            responses.append(text_message.text.value)
        message = " ".join(responses)
        for annotation in response_message.url_citation_annotations:
            message = message.replace(
                annotation.text, f" [{annotation.url_citation.title}]({annotation.url_citation.url})"
            )
        print(f"Agent response: {message}")
