from __future__ import annotations

import json
import sys
import types
import unittest
from unittest.mock import AsyncMock, patch

# app.main imports playwright via auto_login; tests don't exercise that path.
# Inject a lightweight stub so unit tests run without installing playwright.
_playwright = types.ModuleType("playwright")
_playwright_async = types.ModuleType("playwright.async_api")


class _StubPlaywrightTimeoutError(Exception):
    pass


async def _stub_async_playwright():
    raise RuntimeError("playwright is stubbed in unit tests")


_playwright_async.TimeoutError = _StubPlaywrightTimeoutError
_playwright_async.async_playwright = _stub_async_playwright
sys.modules.setdefault("playwright", _playwright)
sys.modules.setdefault("playwright.async_api", _playwright_async)

from starlette.requests import Request

from app.anthropic_schema import AnthropicMessagesRequest
from app.openai_schema import ChatCompletionsRequest
import app.main as main


class _FakeTicket:
    def __init__(self) -> None:
        self.released = False

    def release(self) -> None:
        self.released = True


class _FakeGuard:
    def __init__(self) -> None:
        self.in_flight = 0

    async def try_acquire(self) -> _FakeTicket:
        return _FakeTicket()


class _FakeClient:
    def __init__(self, *, stream_events: list[dict], complete_result: dict) -> None:
        self._stream_events = stream_events
        self._complete_result = complete_result

    async def query_models(self) -> dict:
        return {
            "chat": [
                {
                    "key": "org_auto",
                    "displayName": "Auto",
                }
            ]
        }

    async def chat_complete(self, *args, **kwargs) -> dict:
        return self._complete_result

    async def chat_stream(self, *args, **kwargs):
        out_meta = kwargs.get("out_meta")
        if isinstance(out_meta, dict):
            out_meta["session_id"] = "sess-stream"
        for event in self._stream_events:
            yield event


class _FakeInstance:
    def __init__(self, client: _FakeClient) -> None:
        self.name = "inst-test"
        self.client = client
        self.in_flight = 0


class _FakePool:
    def __init__(self, inst: _FakeInstance) -> None:
        self._inst = inst

    def pick(self, affinity_key: str | None = None) -> _FakeInstance:
        return self._inst


def _make_request(path: str, headers: dict[str, str] | None = None) -> Request:
    header_pairs = []
    for k, v in (headers or {}).items():
        header_pairs.append((k.lower().encode("latin-1"), v.encode("latin-1")))
    scope = {
        "type": "http",
        "http_version": "1.1",
        "method": "POST",
        "scheme": "http",
        "path": path,
        "raw_path": path.encode("latin-1"),
        "query_string": b"",
        "headers": header_pairs,
        "client": ("testclient", 12345),
        "server": ("testserver", 80),
        "root_path": "",
    }
    return Request(scope)


async def _collect_stream(response) -> str:
    chunks: list[str] = []
    async for part in response.body_iterator:
        if isinstance(part, bytes):
            chunks.append(part.decode("utf-8"))
        else:
            chunks.append(str(part))
    return "".join(chunks)


class ToolCallBridgeTests(unittest.IsolatedAsyncioTestCase):
    async def test_openai_non_stream_bridges_tool_calls(self) -> None:
        fake_client = _FakeClient(
            stream_events=[],
            complete_result={
                "text": "done",
                "toolEvents": [
                    {
                        "id": "call_123",
                        "name": "search_docs",
                        "input": {"query": "gateway"},
                        "result": {"ok": True},
                    }
                ],
                "sessionId": "sess-1",
                "firstTokenLatencyMs": 12,
                "totalLatencyMs": 34,
            },
        )
        req = ChatCompletionsRequest(
            model="org_auto",
            messages=[{"role": "user", "content": "hi"}],
            stream=False,
        )

        with (
            patch.object(main, "pool", _FakePool(_FakeInstance(fake_client))),
            patch.object(main, "chat_guard", _FakeGuard()),
            patch.object(main, "_ensure_instance_logged_in", AsyncMock(return_value={"id": "u"})),
            patch.object(main.stats_collector, "record_chat", AsyncMock(return_value=None)),
        ):
            response = await main.v1_chat_completions(req, _make_request("/v1/chat/completions"))

        payload = json.loads(response.body)
        message = payload["choices"][0]["message"]
        self.assertEqual(message["content"], "done")
        self.assertIsInstance(message["tool_calls"], list)
        self.assertEqual(message["tool_calls"][0]["function"]["name"], "search_docs")
        self.assertEqual(
            json.loads(message["tool_calls"][0]["function"]["arguments"]),
            {"query": "gateway"},
        )

    async def test_openai_stream_bridges_tool_and_text_events(self) -> None:
        fake_client = _FakeClient(
            stream_events=[
                {
                    "type": "tool",
                    "tool": {
                        "id": "call_stream_1",
                        "name": "read_file",
                        "input": {"path": "README.md"},
                    },
                },
                {"type": "text", "text": "hello"},
            ],
            complete_result={},
        )
        req = ChatCompletionsRequest(
            model="org_auto",
            messages=[{"role": "user", "content": "hi"}],
            stream=True,
            stream_options={"include_usage": True},
        )

        with (
            patch.object(main, "pool", _FakePool(_FakeInstance(fake_client))),
            patch.object(main, "chat_guard", _FakeGuard()),
            patch.object(main, "_ensure_instance_logged_in", AsyncMock(return_value={"id": "u"})),
            patch.object(main.stats_collector, "record_chat", AsyncMock(return_value=None)),
        ):
            response = await main.v1_chat_completions(req, _make_request("/v1/chat/completions"))
            body = await _collect_stream(response)

        self.assertIn('"tool_calls"', body)
        self.assertIn('"content": "hello"', body)
        self.assertIn('"usage"', body)
        self.assertIn("data: [DONE]", body)

    async def test_anthropic_non_stream_bridges_tool_blocks(self) -> None:
        fake_client = _FakeClient(
            stream_events=[],
            complete_result={
                "text": "ok",
                "toolEvents": [
                    {
                        "id": "toolu_1",
                        "name": "lookup",
                        "input": {"k": "v"},
                        "result": {"value": 1},
                    }
                ],
                "sessionId": "sess-2",
            },
        )
        req = AnthropicMessagesRequest(
            model="claude-3-5-sonnet-20241022",
            max_tokens=256,
            messages=[{"role": "user", "content": "hi"}],
            stream=False,
        )

        with (
            patch.object(main, "pool", _FakePool(_FakeInstance(fake_client))),
            patch.object(main, "chat_guard", _FakeGuard()),
            patch.object(main, "_ensure_instance_logged_in", AsyncMock(return_value={"id": "u"})),
            patch.object(main.stats_collector, "record_chat", AsyncMock(return_value=None)),
            patch.object(main.settings, "api_keys", ["test-key"]),
        ):
            response = await main.v1_messages(
                req,
                _make_request(
                    "/v1/messages",
                    headers={"x-api-key": "test-key", "anthropic-version": "2023-06-01"},
                ),
            )

        payload = json.loads(response.body)
        types = [item["type"] for item in payload["content"]]
        self.assertEqual(types, ["text", "tool_use", "tool_result"])
        self.assertEqual(payload["content"][1]["name"], "lookup")
        self.assertEqual(payload["content"][2]["tool_use_id"], "toolu_1")

    async def test_anthropic_stream_bridges_tool_and_text_events(self) -> None:
        fake_client = _FakeClient(
            stream_events=[
                {
                    "type": "tool",
                    "tool": {
                        "id": "toolu_stream_1",
                        "name": "read",
                        "input": {"file": "a.txt"},
                        "result": "done",
                    },
                },
                {"type": "text", "text": "world"},
            ],
            complete_result={},
        )
        req = AnthropicMessagesRequest(
            model="claude-3-5-sonnet-20241022",
            max_tokens=256,
            messages=[{"role": "user", "content": "hi"}],
            stream=True,
        )

        with (
            patch.object(main, "pool", _FakePool(_FakeInstance(fake_client))),
            patch.object(main, "chat_guard", _FakeGuard()),
            patch.object(main, "_ensure_instance_logged_in", AsyncMock(return_value={"id": "u"})),
            patch.object(main.stats_collector, "record_chat", AsyncMock(return_value=None)),
            patch.object(main.settings, "api_keys", ["test-key"]),
        ):
            response = await main.v1_messages(
                req,
                _make_request(
                    "/v1/messages",
                    headers={"x-api-key": "test-key", "anthropic-version": "2023-06-01"},
                ),
            )
            body = await _collect_stream(response)

        self.assertIn("event: message_start", body)
        self.assertIn('"type": "tool_use"', body)
        self.assertIn('"type": "tool_result"', body)
        self.assertIn('"type": "text_delta"', body)
        self.assertIn("event: message_stop", body)


if __name__ == "__main__":
    unittest.main()