# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""
Streaming SSE event builders for the Responses API.

Pure functions that translate streaming state + delta data into
OpenAI Response API SSE events. Used by the streaming event
processors in serving.py.

The file is organized as:
  1. StreamingState dataclass + utility helpers
  2. Shared leaf helpers — delta events (take plain strings, no context)
  3. Shared leaf helpers — done events (take plain strings, no context)
  4. Harmony-specific dispatchers (route ctx/previous_item → leaf helpers)
  5. Harmony-specific tool lifecycle helpers
"""

import json
from collections.abc import Callable
from dataclasses import dataclass, field
from enum import Enum, auto
from typing import Any, ClassVar, Final, NamedTuple

from openai.types.responses import (
    ResponseCodeInterpreterCallCodeDeltaEvent,
    ResponseCodeInterpreterCallCodeDoneEvent,
    ResponseCodeInterpreterCallCompletedEvent,
    ResponseCodeInterpreterCallInProgressEvent,
    ResponseCodeInterpreterCallInterpretingEvent,
    ResponseCodeInterpreterToolCallParam,
    ResponseContentPartAddedEvent,
    ResponseContentPartDoneEvent,
    ResponseFunctionCallArgumentsDeltaEvent,
    ResponseFunctionCallArgumentsDoneEvent,
    ResponseFunctionToolCall,
    ResponseFunctionToolCallItem,
    ResponseFunctionWebSearch,
    ResponseMcpCallArgumentsDeltaEvent,
    ResponseMcpCallArgumentsDoneEvent,
    ResponseMcpCallCompletedEvent,
    ResponseMcpCallInProgressEvent,
    ResponseOutputItemAddedEvent,
    ResponseOutputItemDoneEvent,
    ResponseOutputMessage,
    ResponseOutputText,
    ResponseReasoningItem,
    ResponseReasoningTextDeltaEvent,
    ResponseReasoningTextDoneEvent,
    ResponseTextDeltaEvent,
    ResponseTextDoneEvent,
    ResponseWebSearchCallCompletedEvent,
    ResponseWebSearchCallInProgressEvent,
    ResponseWebSearchCallSearchingEvent,
    response_function_web_search,
    response_text_delta_event,
)
from openai.types.responses.response_output_item import McpCall
from openai.types.responses.response_reasoning_item import (
    Content as ResponseReasoningTextContent,
)
from openai_harmony import Message as HarmonyMessage

from vllm.entrypoints.mcp.tool_server import ToolServer
from vllm.entrypoints.openai.engine.protocol import DeltaMessage, DeltaToolCall
from vllm.entrypoints.openai.parser.harmony_utils import (
    extract_function_from_recipient,
    is_function_recipient,
)
from vllm.entrypoints.openai.responses.context import StreamingHarmonyContext
from vllm.entrypoints.openai.responses.protocol import (
    ResponseReasoningPartAddedEvent,
    ResponseReasoningPartDoneEvent,
    StreamingResponsesResponse,
)
from vllm.outputs import CompletionOutput
from vllm.utils import random_uuid

TOOL_NAME_TO_MCP_SERVER_LABEL: Final[dict[str, str]] = {
    "python": "code_interpreter",
    "container": "container",
    "browser": "web_search_preview",
}


def _resolve_mcp_name_label(recipient: str) -> tuple[str, str]:
    """Resolve MCP tool name and server label from a recipient string.

    - ``mcp.*`` recipients: strip prefix, use the bare name as both
      name and server_label.
    - Everything else: use the recipient as the name and look up the
      server_label in TOOL_NAME_TO_MCP_SERVER_LABEL.
    """
    if recipient.startswith("mcp."):
        name = recipient[len("mcp.") :]
        return name, name
    return recipient, TOOL_NAME_TO_MCP_SERVER_LABEL.get(recipient, recipient)


@dataclass
class StreamingState:
    """Mutable state for streaming event processing."""

    current_content_index: int = -1
    current_output_index: int = 0
    current_item_id: str = ""
    current_call_id: str = ""
    sent_output_item_added: bool = False
    is_first_function_call_delta: bool = False

    def reset_for_new_item(self) -> None:
        """Reset state when expecting a new output item."""
        self.current_output_index += 1
        self.sent_output_item_added = False
        self.is_first_function_call_delta = False
        self.current_call_id = ""


def is_mcp_tool_by_namespace(
    recipient: str | None,
    allowed_function_tool_names: frozenset[str] | None = None,
) -> bool:
    """
    Determine if a tool call is an MCP tool based on recipient prefix.

    Inverse of :func:`is_function_recipient` — everything that is not
    a function call is an MCP tool.
    """
    if recipient is None:
        return False
    return not is_function_recipient(recipient, allowed_function_tool_names)


# =====================================================================
# Shared leaf helpers — delta events
# =====================================================================


def emit_text_delta_events(
    delta: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events for text content delta streaming."""
    events: list[StreamingResponsesResponse] = []
    if not state.sent_output_item_added:
        state.sent_output_item_added = True
        state.current_item_id = f"msg_{random_uuid()}"
        events.append(
            ResponseOutputItemAddedEvent(
                type="response.output_item.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item=ResponseOutputMessage(
                    id=state.current_item_id,
                    type="message",
                    role="assistant",
                    content=[],
                    status="in_progress",
                ),
            )
        )
        state.current_content_index += 1
        events.append(
            ResponseContentPartAddedEvent(
                type="response.content_part.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item_id=state.current_item_id,
                content_index=state.current_content_index,
                part=ResponseOutputText(
                    type="output_text",
                    text="",
                    annotations=[],
                    logprobs=[],
                ),
            )
        )
    events.append(
        ResponseTextDeltaEvent(
            type="response.output_text.delta",
            sequence_number=-1,
            content_index=state.current_content_index,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
            delta=delta,
            # TODO, use logprobs from ctx.last_request_output
            logprobs=[],
        )
    )
    return events


def emit_reasoning_delta_events(
    delta: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events for reasoning text delta streaming."""
    events: list[StreamingResponsesResponse] = []
    if not state.sent_output_item_added:
        state.sent_output_item_added = True
        state.current_item_id = f"msg_{random_uuid()}"
        events.append(
            ResponseOutputItemAddedEvent(
                type="response.output_item.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item=ResponseReasoningItem(
                    type="reasoning",
                    id=state.current_item_id,
                    summary=[],
                    status="in_progress",
                ),
            )
        )
        state.current_content_index += 1
        events.append(
            ResponseReasoningPartAddedEvent(
                type="response.reasoning_part.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item_id=state.current_item_id,
                content_index=state.current_content_index,
                part=ResponseReasoningTextContent(
                    text="",
                    type="reasoning_text",
                ),
            )
        )
    events.append(
        ResponseReasoningTextDeltaEvent(
            type="response.reasoning_text.delta",
            item_id=state.current_item_id,
            output_index=state.current_output_index,
            content_index=state.current_content_index,
            delta=delta,
            sequence_number=-1,
        )
    )
    return events


def emit_function_call_delta_events(
    delta: str,
    function_name: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events for function call argument deltas."""
    events: list[StreamingResponsesResponse] = []
    if state.is_first_function_call_delta is False:
        state.is_first_function_call_delta = True
        state.current_item_id = f"fc_{random_uuid()}"
        state.current_call_id = f"call_{random_uuid()}"
        tool_call_item = ResponseFunctionToolCall(
            name=function_name,
            type="function_call",
            id=state.current_item_id,
            call_id=state.current_call_id,
            arguments="",
            status="in_progress",
        )
        events.append(
            ResponseOutputItemAddedEvent(
                type="response.output_item.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item=tool_call_item,
            )
        )
    # Always emit the delta (including on first call)
    events.append(
        ResponseFunctionCallArgumentsDeltaEvent(
            item_id=state.current_item_id,
            delta=delta,
            output_index=state.current_output_index,
            sequence_number=-1,
            type="response.function_call_arguments.delta",
        )
    )
    return events


def emit_mcp_delta_events(
    delta: str,
    state: StreamingState,
    recipient: str,
) -> list[StreamingResponsesResponse]:
    """Emit events for MCP tool delta streaming."""
    name, server_label = _resolve_mcp_name_label(recipient)
    events: list[StreamingResponsesResponse] = []
    if not state.sent_output_item_added:
        state.sent_output_item_added = True
        state.current_item_id = f"mcp_{random_uuid()}"
        events.append(
            ResponseOutputItemAddedEvent(
                type="response.output_item.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item=McpCall(
                    type="mcp_call",
                    id=state.current_item_id,
                    name=name,
                    arguments="",
                    server_label=server_label,
                    status="in_progress",
                ),
            )
        )
        events.append(
            ResponseMcpCallInProgressEvent(
                type="response.mcp_call.in_progress",
                sequence_number=-1,
                output_index=state.current_output_index,
                item_id=state.current_item_id,
            )
        )
    events.append(
        ResponseMcpCallArgumentsDeltaEvent(
            type="response.mcp_call_arguments.delta",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
            delta=delta,
        )
    )
    return events


def emit_code_interpreter_delta_events(
    delta: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events for code interpreter delta streaming."""
    events: list[StreamingResponsesResponse] = []
    if not state.sent_output_item_added:
        state.sent_output_item_added = True
        state.current_item_id = f"tool_{random_uuid()}"
        events.append(
            ResponseOutputItemAddedEvent(
                type="response.output_item.added",
                sequence_number=-1,
                output_index=state.current_output_index,
                item=ResponseCodeInterpreterToolCallParam(
                    type="code_interpreter_call",
                    id=state.current_item_id,
                    code=None,
                    container_id="auto",
                    outputs=None,
                    status="in_progress",
                ),
            )
        )
        events.append(
            ResponseCodeInterpreterCallInProgressEvent(
                type="response.code_interpreter_call.in_progress",
                sequence_number=-1,
                output_index=state.current_output_index,
                item_id=state.current_item_id,
            )
        )
    events.append(
        ResponseCodeInterpreterCallCodeDeltaEvent(
            type="response.code_interpreter_call_code.delta",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
            delta=delta,
        )
    )
    return events


# =====================================================================
# Shared leaf helpers — done events
# =====================================================================


def emit_text_output_done_events(
    text: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events when a final text output item completes."""
    text_content = ResponseOutputText(
        type="output_text",
        text=text,
        annotations=[],
    )
    events: list[StreamingResponsesResponse] = []
    events.append(
        ResponseTextDoneEvent(
            type="response.output_text.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            content_index=state.current_content_index,
            text=text,
            logprobs=[],
            item_id=state.current_item_id,
        )
    )
    events.append(
        ResponseContentPartDoneEvent(
            type="response.content_part.done",
            sequence_number=-1,
            item_id=state.current_item_id,
            output_index=state.current_output_index,
            content_index=state.current_content_index,
            part=text_content,
        )
    )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=ResponseOutputMessage(
                id=state.current_item_id,
                type="message",
                role="assistant",
                content=[text_content],
                status="completed",
            ),
        )
    )
    return events


def emit_reasoning_done_events(
    text: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events when a reasoning (analysis) item completes."""
    content = ResponseReasoningTextContent(
        text=text,
        type="reasoning_text",
    )
    reasoning_item = ResponseReasoningItem(
        type="reasoning",
        content=[content],
        status="completed",
        id=state.current_item_id,
        summary=[],
    )
    events: list[StreamingResponsesResponse] = []
    events.append(
        ResponseReasoningTextDoneEvent(
            type="response.reasoning_text.done",
            item_id=state.current_item_id,
            sequence_number=-1,
            output_index=state.current_output_index,
            content_index=state.current_content_index,
            text=text,
        )
    )
    events.append(
        ResponseReasoningPartDoneEvent(
            type="response.reasoning_part.done",
            sequence_number=-1,
            item_id=state.current_item_id,
            output_index=state.current_output_index,
            content_index=state.current_content_index,
            part=content,
        )
    )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=reasoning_item,
        )
    )
    return events


def emit_function_call_done_events(
    function_name: str,
    arguments: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events when a function call completes."""
    events: list[StreamingResponsesResponse] = []
    events.append(
        ResponseFunctionCallArgumentsDoneEvent(
            type="response.function_call_arguments.done",
            arguments=arguments,
            name=function_name,
            item_id=state.current_item_id,
            output_index=state.current_output_index,
            sequence_number=-1,
        )
    )
    function_call_item = ResponseFunctionToolCall(
        type="function_call",
        arguments=arguments,
        name=function_name,
        id=state.current_item_id,
        output_index=state.current_output_index,
        sequence_number=-1,
        call_id=state.current_call_id,
        status="completed",
    )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=function_call_item,
        )
    )
    return events


def emit_mcp_completion_events(
    recipient: str,
    arguments: str,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events when an MCP tool call completes."""
    name, server_label = _resolve_mcp_name_label(recipient)
    events: list[StreamingResponsesResponse] = []
    events.append(
        ResponseMcpCallArgumentsDoneEvent(
            type="response.mcp_call_arguments.done",
            arguments=arguments,
            name=name,
            item_id=state.current_item_id,
            output_index=state.current_output_index,
            sequence_number=-1,
        )
    )
    events.append(
        ResponseMcpCallCompletedEvent(
            type="response.mcp_call.completed",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
        )
    )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=McpCall(
                type="mcp_call",
                arguments=arguments,
                name=name,
                id=state.current_item_id,
                server_label=server_label,
                status="completed",
            ),
        )
    )
    return events


# =====================================================================
# Harmony-specific dispatchers
# =====================================================================


def emit_content_delta_events(
    ctx: StreamingHarmonyContext,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events for content delta streaming based on channel type.

    This is a Harmony-specific dispatcher that extracts values from the
    Harmony context and delegates to shared leaf helpers.
    """
    delta = ctx.last_content_delta
    if not delta:
        return []

    channel = ctx.parser.current_channel
    recipient = ctx.parser.current_recipient

    if channel in ("final", "commentary") and recipient is None:
        # Preambles (commentary with no recipient) and final messages
        # are both user-visible text.
        return emit_text_delta_events(delta, state)
    elif channel == "analysis" and recipient is None:
        return emit_reasoning_delta_events(delta, state)
    elif recipient is not None:
        fn_names = ctx.function_tool_names
        if is_function_recipient(recipient, fn_names):
            function_name = extract_function_from_recipient(recipient)
            return emit_function_call_delta_events(delta, function_name, state)
        elif recipient == "python":
            return emit_code_interpreter_delta_events(delta, state)
        elif recipient.startswith("mcp.") or is_mcp_tool_by_namespace(
            recipient, fn_names
        ):
            return emit_mcp_delta_events(delta, state, recipient)

    return []


def emit_previous_item_done_events(
    previous_item: HarmonyMessage,
    state: StreamingState,
    function_tool_names: frozenset[str] | None = None,
) -> list[StreamingResponsesResponse]:
    """Emit done events for the previous item when expecting a new start.

    This is a Harmony-specific dispatcher that extracts values from the
    Harmony parser's message object and delegates to shared leaf helpers.
    """
    text = previous_item.content[0].text
    if previous_item.recipient is not None:
        # Deal with tool call
        if is_function_recipient(previous_item.recipient, function_tool_names):
            function_name = extract_function_from_recipient(previous_item.recipient)
            return emit_function_call_done_events(function_name, text, state)
        elif previous_item.recipient == "python":
            return emit_code_interpreter_completion_events(previous_item, state)
        elif (
            is_mcp_tool_by_namespace(previous_item.recipient, function_tool_names)
            and state.current_item_id is not None
            and state.current_item_id.startswith("mcp_")
        ):
            return emit_mcp_completion_events(previous_item.recipient, text, state)
    elif previous_item.channel == "analysis":
        return emit_reasoning_done_events(text, state)
    elif previous_item.channel in ("commentary", "final"):
        # Preambles (commentary with no recipient) and final messages
        # are both user-visible text.
        return emit_text_output_done_events(text, state)
    return []


# =====================================================================
# Harmony-specific tool lifecycle helpers
# =====================================================================


def emit_browser_tool_events(
    previous_item: HarmonyMessage,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events for browser tool calls (web search)."""
    function_name = previous_item.recipient[len("browser.") :]
    parsed_args = json.loads(previous_item.content[0].text)
    action = None

    if function_name == "search":
        action = response_function_web_search.ActionSearch(
            type="search",
            query=parsed_args["query"],
        )
    elif function_name == "open":
        action = response_function_web_search.ActionOpenPage(
            type="open_page",
            # TODO: translate to url
            url=f"cursor:{parsed_args.get('cursor', '')}",
        )
    elif function_name == "find":
        action = response_function_web_search.ActionFind(
            type="find",
            pattern=parsed_args["pattern"],
            # TODO: translate to url
            url=f"cursor:{parsed_args.get('cursor', '')}",
        )
    else:
        raise ValueError(f"Unknown function name: {function_name}")

    state.current_item_id = f"tool_{random_uuid()}"
    events: list[StreamingResponsesResponse] = []
    events.append(
        ResponseOutputItemAddedEvent(
            type="response.output_item.added",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=response_function_web_search.ResponseFunctionWebSearch(
                # TODO: generate a unique id for web search call
                type="web_search_call",
                id=state.current_item_id,
                action=action,
                status="in_progress",
            ),
        )
    )
    events.append(
        ResponseWebSearchCallInProgressEvent(
            type="response.web_search_call.in_progress",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
        )
    )
    events.append(
        ResponseWebSearchCallSearchingEvent(
            type="response.web_search_call.searching",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
        )
    )
    # enqueue
    events.append(
        ResponseWebSearchCallCompletedEvent(
            type="response.web_search_call.completed",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
        )
    )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=ResponseFunctionWebSearch(
                type="web_search_call",
                id=state.current_item_id,
                action=action,
                status="completed",
            ),
        )
    )
    return events


def emit_code_interpreter_completion_events(
    previous_item: HarmonyMessage,
    state: StreamingState,
) -> list[StreamingResponsesResponse]:
    """Emit events when code interpreter completes."""
    events: list[StreamingResponsesResponse] = []
    events.append(
        ResponseCodeInterpreterCallCodeDoneEvent(
            type="response.code_interpreter_call_code.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
            code=previous_item.content[0].text,
        )
    )
    events.append(
        ResponseCodeInterpreterCallInterpretingEvent(
            type="response.code_interpreter_call.interpreting",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
        )
    )
    events.append(
        ResponseCodeInterpreterCallCompletedEvent(
            type="response.code_interpreter_call.completed",
            sequence_number=-1,
            output_index=state.current_output_index,
            item_id=state.current_item_id,
        )
    )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.current_output_index,
            item=ResponseCodeInterpreterToolCallParam(
                type="code_interpreter_call",
                id=state.current_item_id,
                code=previous_item.content[0].text,
                container_id="auto",
                outputs=[],
                status="completed",
            ),
        )
    )
    return events


def emit_tool_action_events(
    ctx: StreamingHarmonyContext,
    state: StreamingState,
    tool_server: ToolServer | None,
) -> list[StreamingResponsesResponse]:
    """Emit events for tool action turn."""
    if not ctx.is_assistant_action_turn() or len(ctx.parser.messages) == 0:
        return []

    events: list[StreamingResponsesResponse] = []
    previous_item = ctx.parser.messages[-1]

    # Handle browser tool
    if (
        tool_server is not None
        and tool_server.has_tool("browser")
        and previous_item.recipient is not None
        and previous_item.recipient.startswith("browser.")
    ):
        events.extend(emit_browser_tool_events(previous_item, state))

    # Handle tool completion
    if (
        tool_server is not None
        and previous_item.recipient is not None
        and state.current_item_id is not None
        and state.sent_output_item_added
    ):
        recipient = previous_item.recipient
        fn_names = ctx.function_tool_names
        if recipient == "python":
            events.extend(emit_code_interpreter_completion_events(previous_item, state))
        elif recipient.startswith("mcp.") or is_mcp_tool_by_namespace(
            recipient, fn_names
        ):
            events.extend(
                emit_mcp_completion_events(
                    recipient, previous_item.content[0].text, state
                )
            )

    return events


# =====================================================================
# Simple streaming helpers
# =====================================================================


class _StateType(Enum):
    NONE = auto()
    CONTENT = auto()
    REASONING = auto()
    TOOL_CALL = auto()


@dataclass
class SimpleStreamingState:
    output_index: int = 0
    current_item_id: str = ""
    content_index: int = 0
    accumulated_text: str = ""
    tool_call_id: str = ""
    tool_call_name: str = ""
    tool_call_index: int | None = None
    has_emitted_tool_call_delta: bool = False
    current_state: _StateType = field(default_factory=lambda: _StateType.NONE)


def emit_simple_content_open(
    state: SimpleStreamingState,
) -> list[StreamingResponsesResponse]:
    state.current_state = _StateType.CONTENT
    state.current_item_id = random_uuid()
    state.content_index = 0
    state.accumulated_text = ""
    return [
        ResponseOutputItemAddedEvent(
            type="response.output_item.added",
            sequence_number=-1,
            output_index=state.output_index,
            item=ResponseOutputMessage(
                id=state.current_item_id,
                type="message",
                role="assistant",
                content=[],
                status="in_progress",
            ),
        ),
        ResponseContentPartAddedEvent(
            type="response.content_part.added",
            sequence_number=-1,
            output_index=state.output_index,
            item_id=state.current_item_id,
            content_index=state.content_index,
            part=ResponseOutputText(
                type="output_text",
                text="",
                annotations=[],
                logprobs=[],
            ),
        ),
    ]


def emit_simple_content_delta(
    state: SimpleStreamingState,
    delta: str,
    logprobs: list[response_text_delta_event.Logprob] | None = None,
) -> list[StreamingResponsesResponse]:
    state.accumulated_text += delta
    return [
        ResponseTextDeltaEvent(
            type="response.output_text.delta",
            sequence_number=-1,
            content_index=state.content_index,
            output_index=state.output_index,
            item_id=state.current_item_id,
            delta=delta,
            logprobs=logprobs or [],
        )
    ]


def emit_simple_content_done(
    state: SimpleStreamingState,
) -> list[StreamingResponsesResponse]:
    part = ResponseOutputText(
        type="output_text",
        text=state.accumulated_text,
        annotations=[],
    )
    events: list[StreamingResponsesResponse] = [
        ResponseTextDoneEvent(
            type="response.output_text.done",
            sequence_number=-1,
            output_index=state.output_index,
            content_index=state.content_index,
            text=state.accumulated_text,
            logprobs=[],
            item_id=state.current_item_id,
        ),
        ResponseContentPartDoneEvent(
            type="response.content_part.done",
            sequence_number=-1,
            item_id=state.current_item_id,
            output_index=state.output_index,
            content_index=state.content_index,
            part=part,
        ),
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.output_index,
            item=ResponseOutputMessage(
                id=state.current_item_id,
                type="message",
                role="assistant",
                content=[part] if state.accumulated_text else [],
                status="completed",
                summary=[],
            ),
        ),
    ]
    state.output_index += 1
    state.current_state = _StateType.NONE
    return events


def emit_simple_reasoning_open(
    state: SimpleStreamingState,
) -> list[StreamingResponsesResponse]:
    state.current_state = _StateType.REASONING
    state.current_item_id = random_uuid()
    state.content_index = 0
    state.accumulated_text = ""
    return [
        ResponseOutputItemAddedEvent(
            type="response.output_item.added",
            sequence_number=-1,
            output_index=state.output_index,
            item=ResponseReasoningItem(
                type="reasoning",
                id=state.current_item_id,
                summary=[],
                status="in_progress",
            ),
        ),
        ResponseReasoningPartAddedEvent(
            type="response.reasoning_part.added",
            sequence_number=-1,
            output_index=state.output_index,
            item_id=state.current_item_id,
            content_index=state.content_index,
            part=ResponseReasoningTextContent(
                text="",
                type="reasoning_text",
            ),
        ),
    ]


def emit_simple_reasoning_delta(
    state: SimpleStreamingState,
    delta: str,
) -> list[StreamingResponsesResponse]:
    state.accumulated_text += delta
    return [
        ResponseReasoningTextDeltaEvent(
            type="response.reasoning_text.delta",
            item_id=state.current_item_id,
            sequence_number=-1,
            output_index=state.output_index,
            content_index=state.content_index,
            delta=delta,
        )
    ]


def emit_simple_reasoning_done(
    state: SimpleStreamingState,
) -> list[StreamingResponsesResponse]:
    part = ResponseReasoningTextContent(
        text=state.accumulated_text,
        type="reasoning_text",
    )
    events: list[StreamingResponsesResponse] = [
        ResponseReasoningTextDoneEvent(
            type="response.reasoning_text.done",
            item_id=state.current_item_id,
            sequence_number=-1,
            output_index=state.output_index,
            content_index=state.content_index,
            text=state.accumulated_text,
        ),
        ResponseReasoningPartDoneEvent(
            type="response.reasoning_part.done",
            sequence_number=-1,
            item_id=state.current_item_id,
            output_index=state.output_index,
            content_index=state.content_index,
            part=part,
        ),
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.output_index,
            item=ResponseReasoningItem(
                type="reasoning",
                content=[part],
                status="completed",
                id=state.current_item_id,
                summary=[],
            ),
        ),
    ]
    state.output_index += 1
    state.current_state = _StateType.NONE
    return events


def emit_simple_tool_call_open(
    state: SimpleStreamingState,
    name: str,
    index: int | None,
) -> list[StreamingResponsesResponse]:
    state.current_state = _StateType.TOOL_CALL
    state.current_item_id = random_uuid()
    state.tool_call_id = f"call_{random_uuid()}"
    state.tool_call_name = name
    state.tool_call_index = index
    state.accumulated_text = ""
    state.has_emitted_tool_call_delta = False
    return [
        ResponseOutputItemAddedEvent(
            type="response.output_item.added",
            sequence_number=-1,
            output_index=state.output_index,
            item=ResponseFunctionToolCallItem(
                type="function_call",
                id=state.current_item_id,
                call_id=state.tool_call_id,
                name=name,
                arguments="",
                status="in_progress",
            ),
        ),
    ]


def emit_simple_tool_call_delta(
    state: SimpleStreamingState,
    delta: str,
) -> list[StreamingResponsesResponse]:
    state.accumulated_text += delta
    state.has_emitted_tool_call_delta = True
    return [
        ResponseFunctionCallArgumentsDeltaEvent(
            type="response.function_call_arguments.delta",
            sequence_number=-1,
            output_index=state.output_index,
            item_id=state.current_item_id,
            delta=delta,
        )
    ]


def emit_simple_tool_call_done(
    state: SimpleStreamingState,
) -> list[StreamingResponsesResponse]:
    events: list[StreamingResponsesResponse] = []
    if state.has_emitted_tool_call_delta:
        events.append(
            ResponseFunctionCallArgumentsDoneEvent(
                type="response.function_call_arguments.done",
                sequence_number=-1,
                output_index=state.output_index,
                item_id=state.current_item_id,
                arguments=state.accumulated_text,
                name=state.tool_call_name,
            )
        )
    events.append(
        ResponseOutputItemDoneEvent(
            type="response.output_item.done",
            sequence_number=-1,
            output_index=state.output_index,
            item=ResponseFunctionToolCall(
                type="function_call",
                name=state.tool_call_name,
                arguments=state.accumulated_text,
                status="completed",
                id=state.current_item_id,
                call_id=state.tool_call_id,
            ),
        ),
    )
    state.output_index += 1
    state.current_state = _StateType.NONE
    return events


class _StateHandlers(NamedTuple):
    """Tuple for each state: open(start), delta(chunk), done(finish)."""

    open_fn: Callable[..., list[StreamingResponsesResponse]]
    delta_fn: Callable[..., list[StreamingResponsesResponse]]
    done_fn: Callable[..., list[StreamingResponsesResponse]]


def split_delta(delta: DeltaMessage) -> list[DeltaMessage]:
    """Decompose a DeltaMessage with multiple fields into atomic deltas.

    The Responses API emits typed SSE events (one type per event), so a
    compound DeltaMessage must be split before entering the state machine.
    Order: reasoning -> content -> tool_calls (grouped by index).
    """
    has_reasoning = delta.reasoning is not None
    has_content = delta.content is not None
    has_tools = bool(delta.tool_calls)
    parts = int(has_reasoning) + int(has_content) + int(has_tools)

    if parts <= 1 and (
        not has_tools
        or len({tc.index for tc in delta.tool_calls if tc.index is not None}) <= 1
    ):
        return [delta]

    deltas: list[DeltaMessage] = []
    if has_reasoning:
        deltas.append(DeltaMessage(reasoning=delta.reasoning))
    if has_content:
        deltas.append(DeltaMessage(content=delta.content))
    if has_tools:
        groups: dict[int | None, list[DeltaToolCall]] = {}
        for tc in delta.tool_calls:
            groups.setdefault(tc.index, []).append(tc)
        for tcs in groups.values():
            deltas.append(DeltaMessage(tool_calls=tcs))
    return deltas or [delta]


class SimpleStreamingEventProcessor:
    """
    State-machine processor for the simple (non-Harmony) streaming path.

    Core flow:
      1. Resolve the target state from the delta_message
         (CONTENT / REASONING / TOOL_CALL).
      2. If the target state differs from the current one,
         close_current() then open() the new state.
      3. emit_delta() produces the incremental events for the state.

    State lifecycle:
      open()  ->  repeated emit_delta()  ->  close_current()
    """

    _STATE_HANDLERS: ClassVar[dict[_StateType, _StateHandlers]] = {
        _StateType.CONTENT: _StateHandlers(
            emit_simple_content_open,
            emit_simple_content_delta,
            emit_simple_content_done,
        ),
        _StateType.REASONING: _StateHandlers(
            emit_simple_reasoning_open,
            emit_simple_reasoning_delta,
            emit_simple_reasoning_done,
        ),
        _StateType.TOOL_CALL: _StateHandlers(
            emit_simple_tool_call_open,
            emit_simple_tool_call_delta,
            emit_simple_tool_call_done,
        ),
    }

    def __init__(self, state: SimpleStreamingState | None = None) -> None:
        self.state = state or SimpleStreamingState()

    def resolve_target_state(
        self, delta_message: DeltaMessage
    ) -> tuple[_StateType, Any]:
        """
        Decide which state the next delta belongs to.

        Priority: TOOL_CALL > REASONING > CONTENT, fallback to NONE.
        For TOOL_CALL the first tool_call object is also returned so
        callers can detect a switch between consecutive tools.
        """
        if (
            delta_message.tool_calls
            and delta_message.tool_calls[0].function is not None
        ):
            return _StateType.TOOL_CALL, delta_message.tool_calls[0]
        if delta_message.reasoning is not None:
            return _StateType.REASONING, None
        if delta_message.content:
            return _StateType.CONTENT, None
        return _StateType.NONE, None

    def needs_transition(self, target_state: _StateType, tool_call: Any) -> bool:
        """
        Return True when we must close the current state and open a new one.

        Two cases trigger a transition:
          1. The target state differs from the current state
             (e.g. CONTENT -> TOOL_CALL).
          2. We are already in TOOL_CALL but the next tool_call has a
             different index (multiple consecutive tool calls).
        """
        if self.state.current_state != target_state:
            return True
        return (
            target_state == _StateType.TOOL_CALL
            and tool_call is not None
            and self.state.tool_call_index is not None
            and tool_call.index is not None
            and self.state.tool_call_index != tool_call.index
        )

    def close_current(self) -> list[StreamingResponsesResponse]:
        """Close the current state and emit its 'done' event sequence."""
        handlers = self._STATE_HANDLERS.get(self.state.current_state)
        if handlers is None:
            return []
        return handlers.done_fn(self.state)

    def open(
        self, target_state: _StateType, tool_call: Any = None
    ) -> list[StreamingResponsesResponse]:
        """Open a new state and emit its 'added' / 'open' event sequence."""
        handlers = self._STATE_HANDLERS[target_state]
        if target_state == _StateType.TOOL_CALL:
            assert tool_call is not None
            return handlers.open_fn(
                self.state, tool_call.function.name, tool_call.index
            )
        return handlers.open_fn(self.state)

    def emit_delta(
        self,
        delta_message: DeltaMessage,
        output: CompletionOutput,
        get_logprobs: Callable[
            [CompletionOutput], list[response_text_delta_event.Logprob]
        ]
        | None = None,
    ) -> list[StreamingResponsesResponse]:
        """Emit incremental events for the current state from the delta."""
        handlers = self._STATE_HANDLERS[self.state.current_state]

        if self.state.current_state == _StateType.TOOL_CALL:
            assert delta_message.tool_calls is not None
            combined_args = ""
            for tc in delta_message.tool_calls:
                if tc.function is not None and tc.function.arguments:
                    combined_args += tc.function.arguments
            if combined_args:
                return handlers.delta_fn(self.state, combined_args)
            return []
        elif self.state.current_state == _StateType.REASONING:
            assert delta_message.reasoning is not None
            return handlers.delta_fn(self.state, delta_message.reasoning)
        elif self.state.current_state == _StateType.CONTENT:
            assert delta_message.content is not None
            logprobs = get_logprobs(output) if get_logprobs else []
            return handlers.delta_fn(self.state, delta_message.content, logprobs)
        return []
