"""Tests for ``pallas.assistant_stream``.

Drives the ``after_llm_call`` hook with handcrafted ``PromptMessageExtended``
objects and asserts the resulting MCP ``send_log_message`` payload shape.
No fast-agent runtime is involved — the hook is a pure async function and
the MCP context is faked.

Tests use ``asyncio.run`` directly to match the convention in
``tests/test_health.py`` and ``tests/test_mantle_shims.py`` (pallas has no
pytest-asyncio dependency).
"""
from __future__ import annotations

import asyncio
from typing import Any

from fast_agent.agents.tool_runner import ToolRunnerHooks
from fast_agent.types import PromptMessageExtended
from fast_agent.types.llm_stop_reason import LlmStopReason
from mcp.types import (
    CallToolRequest,
    CallToolRequestParams,
    ImageContent,
    TextContent,
)

from pallas.assistant_stream import (
    KIND,
    LOGGER_NAME,
    SCHEMA_VERSION,
    AssistantChunkEmitter,
    install_for_request,
)


def _run(coro):
    return asyncio.run(coro)


# ── Fakes ────────────────────────────────────────────────────────────────────


class _FakeSession:
    """Records every call to ``send_log_message`` for later assertion."""

    def __init__(self) -> None:
        self.calls: list[dict[str, Any]] = []
        self.fail_with: Exception | None = None

    async def send_log_message(
        self,
        *,
        level: str,
        data: Any,
        logger: str | None = None,
        related_request_id: Any = None,
    ) -> None:
        if self.fail_with is not None:
            raise self.fail_with
        self.calls.append(
            {
                "level": level,
                "data": data,
                "logger": logger,
                "related_request_id": related_request_id,
            }
        )


class _FakeContext:
    def __init__(self, request_id: str = "req-1") -> None:
        self.session = _FakeSession()
        self.request_id = request_id


class _FakeAgent:
    """Minimal stand-in for a fast-agent agent — only carries hooks."""

    def __init__(self) -> None:
        self.tool_runner_hooks: ToolRunnerHooks | None = None


def _tool_call(call_id: str, name: str, arguments: dict | None = None) -> CallToolRequest:
    return CallToolRequest(
        method="tools/call",
        params=CallToolRequestParams(name=name, arguments=arguments or {}),
    )


# ── Tests ────────────────────────────────────────────────────────────────────


def test_emit_text_only_iteration() -> None:
    """A pure-text assistant turn produces one log message with one text block."""
    ctx = _FakeContext(request_id="req-text")
    emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")

    msg = PromptMessageExtended(
        role="assistant",
        content=[TextContent(type="text", text="Fair. You can't size value...")],
        stop_reason=LlmStopReason.END_TURN,
    )

    _run(emitter._emit(msg))

    assert len(ctx.session.calls) == 1
    call = ctx.session.calls[0]
    assert call["level"] == "info"
    assert call["logger"] == LOGGER_NAME
    assert call["related_request_id"] == "req-text"

    data = call["data"]
    assert data["kind"] == KIND
    assert data["schema_version"] == SCHEMA_VERSION
    assert data["agent"] == "alan"
    assert data["conversation_id"] == "conv-1"
    assert data["iteration"] == 1
    assert data["stop_reason"] == "endTurn"
    assert data["content"] == [{"type": "text", "text": "Fair. You can't size value..."}]
    assert data["tool_calls"] == []


def test_emit_text_with_tool_call_iteration() -> None:
    """An assistant turn that emits text and then calls a tool ships both."""
    ctx = _FakeContext()
    emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")

    msg = PromptMessageExtended(
        role="assistant",
        content=[TextContent(type="text", text="Logging this…")],
        tool_calls={
            "toolu_1": _tool_call("toolu_1", "time__get_current_time"),
        },
        stop_reason=LlmStopReason.TOOL_USE,
    )

    _run(emitter._emit(msg))

    assert len(ctx.session.calls) == 1
    data = ctx.session.calls[0]["data"]
    assert data["stop_reason"] == "toolUse"
    assert data["content"] == [{"type": "text", "text": "Logging this…"}]
    assert data["tool_calls"] == [{"id": "toolu_1", "name": "time__get_current_time"}]


def test_emit_skips_completely_empty_iteration() -> None:
    """A turn with no text blocks and no tool calls emits nothing.

    Tool-call lifecycle is already covered by notifications/progress.  An
    empty assistant_chunk would just be noise on the wire and a no-op
    update on the live bubble.
    """
    ctx = _FakeContext()
    emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")

    msg = PromptMessageExtended(role="assistant", content=[])

    _run(emitter._emit(msg))

    assert ctx.session.calls == []
    # Iteration counter still bumps so subsequent chunks aren't mis-numbered.
    assert emitter._iteration == 1


def test_emit_image_block_passes_through_with_mime_type_renamed() -> None:
    """ImageContent blocks are serialized with ``mime_type`` (snake-case)."""
    ctx = _FakeContext()
    emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id=None)

    msg = PromptMessageExtended(
        role="assistant",
        content=[ImageContent(type="image", data="ZmFrZQ==", mimeType="image/png")],
        stop_reason=LlmStopReason.END_TURN,
    )

    _run(emitter._emit(msg))

    data = ctx.session.calls[0]["data"]
    assert data["content"] == [
        {"type": "image", "data": "ZmFrZQ==", "mime_type": "image/png"}
    ]
    assert data["conversation_id"] is None


def test_emit_iterations_are_numbered_in_order() -> None:
    """A multi-iteration loop produces sequentially numbered chunks."""
    ctx = _FakeContext()
    emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")

    async def drive() -> None:
        await emitter._emit(
            PromptMessageExtended(
                role="assistant",
                content=[TextContent(type="text", text="first")],
                stop_reason=LlmStopReason.TOOL_USE,
            )
        )
        await emitter._emit(
            PromptMessageExtended(
                role="assistant",
                content=[TextContent(type="text", text="second")],
                stop_reason=LlmStopReason.TOOL_USE,
            )
        )
        await emitter._emit(
            PromptMessageExtended(
                role="assistant",
                content=[TextContent(type="text", text="third — done")],
                stop_reason=LlmStopReason.END_TURN,
            )
        )

    _run(drive())

    assert [c["data"]["iteration"] for c in ctx.session.calls] == [1, 2, 3]
    assert [c["data"]["stop_reason"] for c in ctx.session.calls] == [
        "toolUse",
        "toolUse",
        "endTurn",
    ]


def test_emit_swallows_session_failure() -> None:
    """If ``send_log_message`` raises, the hook does not propagate."""
    ctx = _FakeContext()
    ctx.session.fail_with = RuntimeError("transport closed")
    emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")

    msg = PromptMessageExtended(
        role="assistant",
        content=[TextContent(type="text", text="hi")],
        stop_reason=LlmStopReason.END_TURN,
    )

    # Must not raise.
    _run(emitter._emit(msg))
    # And no successful calls were recorded (fail_with raised before append).
    assert ctx.session.calls == []


def test_install_for_request_merges_with_existing_after_llm_call() -> None:
    """A pre-existing ``after_llm_call`` hook is composed, not replaced."""
    ctx = _FakeContext()
    agent = _FakeAgent()

    seen: list[str] = []

    async def base_after(_runner: Any, message: PromptMessageExtended) -> None:
        seen.append("base")

    agent.tool_runner_hooks = ToolRunnerHooks(after_llm_call=base_after)

    restore = install_for_request(
        agent, ctx=ctx, agent_name="alan", conversation_id="conv-1"
    )

    msg = PromptMessageExtended(
        role="assistant",
        content=[TextContent(type="text", text="hi")],
        stop_reason=LlmStopReason.END_TURN,
    )

    _run(agent.tool_runner_hooks.after_llm_call(None, msg))

    # Base ran, and the assistant-stream emitter shipped the chunk.
    assert seen == ["base"]
    assert len(ctx.session.calls) == 1
    assert ctx.session.calls[0]["data"]["content"] == [
        {"type": "text", "text": "hi"}
    ]

    # Other hook slots stay untouched.
    assert agent.tool_runner_hooks.before_llm_call is None
    assert agent.tool_runner_hooks.before_tool_call is None
    assert agent.tool_runner_hooks.after_tool_call is None
    assert agent.tool_runner_hooks.after_turn_complete is None

    # Restore puts the original hooks back exactly.
    restore()
    assert agent.tool_runner_hooks is not None
    assert agent.tool_runner_hooks.after_llm_call is base_after


def test_install_for_request_with_no_existing_hooks() -> None:
    """When the agent has no prior hooks, ours is installed cleanly."""
    ctx = _FakeContext()
    agent = _FakeAgent()
    assert agent.tool_runner_hooks is None

    restore = install_for_request(
        agent, ctx=ctx, agent_name="alan", conversation_id=None
    )

    assert agent.tool_runner_hooks is not None
    assert agent.tool_runner_hooks.after_llm_call is not None

    restore()
    assert agent.tool_runner_hooks is None