"""Tests for gateway /compress user-facing messaging."""

from datetime import datetime
from unittest.mock import MagicMock, patch

import pytest

from gateway.config import GatewayConfig, Platform, PlatformConfig
from gateway.platforms.base import MessageEvent
from gateway.session import SessionEntry, SessionSource, build_session_key


def _make_source() -> SessionSource:
    return SessionSource(
        platform=Platform.TELEGRAM,
        user_id="u1",
        chat_id="c1",
        user_name="tester",
        chat_type="dm",
    )


def _make_event(text: str = "/compress") -> MessageEvent:
    return MessageEvent(text=text, source=_make_source(), message_id="m1")


def _make_history() -> list[dict[str, str]]:
    return [
        {"role": "user", "content": "one"},
        {"role": "assistant", "content": "two"},
        {"role": "user", "content": "three"},
        {"role": "assistant", "content": "four"},
    ]


def _make_runner(history: list[dict[str, str]]):
    from gateway.run import GatewayRunner

    runner = object.__new__(GatewayRunner)
    runner.config = GatewayConfig(
        platforms={Platform.TELEGRAM: PlatformConfig(enabled=True, token="***")}
    )
    session_entry = SessionEntry(
        session_key=build_session_key(_make_source()),
        session_id="sess-1",
        created_at=datetime.now(),
        updated_at=datetime.now(),
        platform=Platform.TELEGRAM,
        chat_type="dm",
    )
    runner.session_store = MagicMock()
    runner.session_store.get_or_create_session.return_value = session_entry
    runner.session_store.load_transcript.return_value = history
    runner.session_store.rewrite_transcript = MagicMock()
    runner.session_store.update_session = MagicMock()
    runner.session_store._save = MagicMock()
    return runner


@pytest.mark.asyncio
async def test_compress_command_reports_noop_without_success_banner():
    history = _make_history()
    runner = _make_runner(history)
    agent_instance = MagicMock()
    agent_instance.shutdown_memory_provider = MagicMock()
    agent_instance.close = MagicMock()
    agent_instance.context_compressor.has_content_to_compress.return_value = True
    agent_instance.session_id = "sess-1"
    agent_instance._compress_context.return_value = (list(history), "")

    def _estimate(messages):
        assert messages == history
        return 100

    with (
        patch("gateway.run._resolve_runtime_agent_kwargs", return_value={"api_key": "test-key"}),
        patch("gateway.run._resolve_gateway_model", return_value="test-model"),
        patch("run_agent.AIAgent", return_value=agent_instance),
        patch("agent.model_metadata.estimate_messages_tokens_rough", side_effect=_estimate),
    ):
        result = await runner._handle_compress_command(_make_event())

    assert "No changes from compression" in result
    assert "Compressed:" not in result
    assert "Rough transcript estimate: ~100 tokens (unchanged)" in result
    agent_instance.shutdown_memory_provider.assert_called_once()
    agent_instance.close.assert_called_once()


@pytest.mark.asyncio
async def test_compress_command_explains_when_token_estimate_rises():
    history = _make_history()
    compressed = [
        history[0],
        {"role": "assistant", "content": "Dense summary that still counts as more tokens."},
        history[-1],
    ]
    runner = _make_runner(history)
    agent_instance = MagicMock()
    agent_instance.shutdown_memory_provider = MagicMock()
    agent_instance.close = MagicMock()
    agent_instance.context_compressor.has_content_to_compress.return_value = True
    agent_instance.session_id = "sess-1"
    agent_instance._compress_context.return_value = (compressed, "")

    def _estimate(messages):
        if messages == history:
            return 100
        if messages == compressed:
            return 120
        raise AssertionError(f"unexpected transcript: {messages!r}")

    with (
        patch("gateway.run._resolve_runtime_agent_kwargs", return_value={"api_key": "test-key"}),
        patch("gateway.run._resolve_gateway_model", return_value="test-model"),
        patch("run_agent.AIAgent", return_value=agent_instance),
        patch("agent.model_metadata.estimate_messages_tokens_rough", side_effect=_estimate),
    ):
        result = await runner._handle_compress_command(_make_event())

    assert "Compressed: 4 → 3 messages" in result
    assert "Rough transcript estimate: ~100 → ~120 tokens" in result
    assert "denser summaries" in result
    agent_instance.shutdown_memory_provider.assert_called_once()
    agent_instance.close.assert_called_once()