# Copyright (c) Microsoft. All rights reserved.

import asyncio
import re
from collections.abc import AsyncIterable, Awaitable, Callable
from random import randint
from typing import Annotated

from agent_framework import (
    Agent,
    AgentContext,
    AgentResponse,
    AgentResponseUpdate,
    ChatContext,
    ChatResponse,
    ChatResponseUpdate,
    Content,
    Message,
    ResponseStream,
    tool,
)
from agent_framework.openai import OpenAIChatClient
from dotenv import load_dotenv
from pydantic import Field

# Load environment variables from .env file
load_dotenv()

"""
Result Override with MiddlewareTypes (Regular and Streaming)

This sample demonstrates how to use middleware to intercept and modify function results
after execution, supporting both regular and streaming agent responses. The example shows:

- How to execute the original function first and then modify its result
- Replacing function outputs with custom messages or transformed data
- Using middleware for result filtering, formatting, or enhancement
- Detecting streaming vs non-streaming execution using context.stream
- Overriding streaming results with custom async generators

The weather override middleware lets the original weather function execute normally,
then replaces its result with a custom "perfect weather" message. For streaming responses,
it creates a custom async generator that yields the override message in chunks.
"""


# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production;
# see samples/02-agents/tools/function_tool_with_approval.py
# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
@tool(approval_mode="never_require")
def get_weather(
    location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
    """Get the weather for a given location."""
    conditions = ["sunny", "cloudy", "rainy", "stormy"]
    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."


async def weather_override_middleware(context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None:
    """Chat middleware that overrides weather results for both streaming and non-streaming cases."""

    # Let the original agent execution complete first
    await call_next()

    # Check if there's a result to override (agent called weather function)
    if context.result is not None:
        # Create custom weather message
        chunks = [
            "due to special atmospheric conditions, ",
            "all locations are experiencing perfect weather today! ",
            "Temperature is a comfortable 22°C with gentle breezes. ",
            "Perfect day for outdoor activities!",
        ]

        if context.stream and isinstance(context.result, ResponseStream):

            async def _override_stream() -> AsyncIterable[ChatResponseUpdate]:
                for i, chunk_text in enumerate(chunks):
                    yield ChatResponseUpdate(
                        contents=[Content.from_text(text=f"Weather Advisory: [{i}] {chunk_text}")],
                        role="assistant",
                    )

            context.result = ResponseStream(_override_stream(), finalizer=ChatResponse.from_updates)
        else:
            # For non-streaming: just replace with a new message
            current_text = context.result.text if isinstance(context.result, ChatResponse) else ""
            custom_message = f"Weather Advisory: [0] {''.join(chunks)} Original message was: {current_text}"
            context.result = ChatResponse(messages=[Message(role="assistant", contents=[custom_message])])


async def validate_weather_middleware(context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None:
    """Chat middleware that simulates result validation for both streaming and non-streaming cases."""
    await call_next()

    validation_note = "Validation: weather data verified."

    if context.result is None:
        return

    if context.stream and isinstance(context.result, ResponseStream):
        result_stream = context.result

        async def _validated_stream() -> AsyncIterable[ChatResponseUpdate]:
            async for update in result_stream:
                yield update
            yield ChatResponseUpdate(
                contents=[Content.from_text(text=validation_note)],
                role="assistant",
            )

        context.result = ResponseStream(_validated_stream(), finalizer=ChatResponse.from_updates)
    elif isinstance(context.result, ChatResponse):
        context.result.messages.append(Message(role="assistant", contents=[validation_note]))


async def agent_cleanup_middleware(context: AgentContext, call_next: Callable[[], Awaitable[None]]) -> None:
    """Agent middleware that validates chat middleware effects and cleans the result."""
    await call_next()

    if context.result is None:
        return

    validation_note = "Validation: weather data verified."

    state = {"found_prefix": False, "found_validation": False}

    def _sanitize(response: AgentResponse) -> AgentResponse:
        found_prefix = state["found_prefix"]
        found_validation = state["found_validation"]
        cleaned_messages: list[Message] = []

        for message in response.messages:
            text = message.text
            if text is None:
                cleaned_messages.append(message)
                continue

            if validation_note in text:
                found_validation = True
                text = text.replace(validation_note, "").strip()
                if not text:
                    continue

            if "Weather Advisory:" in text:
                found_prefix = True
                text = text.replace("Weather Advisory:", "")

            text = re.sub(r"\[\d+\]\s*", "", text).strip()
            if not text:
                continue

            cleaned_messages.append(
                Message(
                    role=message.role,
                    contents=[text],
                    author_name=message.author_name,
                    message_id=message.message_id,
                    additional_properties=message.additional_properties,
                    raw_representation=message.raw_representation,
                )
            )

        if not found_prefix:
            raise RuntimeError("Expected chat middleware prefix not found in agent response.")
        if not found_validation:
            raise RuntimeError("Expected validation note not found in agent response.")

        cleaned_messages.append(Message(role="assistant", contents=[" Agent: OK"]))
        response.messages = cleaned_messages
        return response

    if context.stream and isinstance(context.result, ResponseStream):

        def _clean_update(update: AgentResponseUpdate) -> AgentResponseUpdate:
            cleaned_contents: list[Content] = []

            for content in update.contents or []:
                if not content.text:
                    cleaned_contents.append(content)
                    continue
                text = content.text
                if "Weather Advisory:" in text:
                    state["found_prefix"] = True
                    text = text.replace("Weather Advisory:", "")
                if validation_note in text:
                    state["found_validation"] = True
                    text = text.replace(validation_note, "").strip()
                    if not text:
                        continue
                text = re.sub(r"\[\d+\]\s*", "", text)
                content.text = text
                cleaned_contents.append(content)

            update.contents = cleaned_contents
            return update

        context.result.with_transform_hook(_clean_update)
        context.result.with_result_hook(_sanitize)
    elif isinstance(context.result, AgentResponse):
        context.result = _sanitize(context.result)


async def main() -> None:
    """Example demonstrating result override with middleware for both streaming and non-streaming."""
    print("=== Result Override MiddlewareTypes Example ===")

    # For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
    # authentication option.
    agent = Agent(
        client=OpenAIChatClient(
            middleware=[validate_weather_middleware, weather_override_middleware],
        ),
        name="WeatherAgent",
        instructions="You are a helpful weather assistant. Use the weather tool to get current conditions.",
        tools=get_weather,
        middleware=[agent_cleanup_middleware],
    )
    # Non-streaming example
    print("\n--- Non-streaming Example ---")
    query = "What's the weather like in Seattle?"
    print(f"User: {query}")
    result = await agent.run(query)
    print(f"Agent: {result}")

    # Streaming example
    print("\n--- Streaming Example ---")
    query = "What's the weather like in Portland?"
    print(f"User: {query}")
    print("Agent: ", end="", flush=True)
    response = agent.run(query, stream=True)
    async for chunk in response:
        if chunk.text:
            print(chunk.text, end="", flush=True)
    print("\n")
    print(f"Final Result: {(await response.get_final_response()).text}")


if __name__ == "__main__":
    asyncio.run(main())
