from __future__ import annotations from typing import TYPE_CHECKING, Literal, overload import pytest import tomlkit from plyngent.agent import ChatAgent from plyngent.cli.repl import handle_slash from plyngent.cli.state import ReplState from plyngent.config.models import DatabaseConfig, OpenAIProvider from plyngent.config.store import ConfigStore from plyngent.lmproto.openai_compatible.model import ( AssistantChatMessage, ChatCompletionChoice, ChatCompletionChunk, ChatCompletionResponse, ChatCompletionsParam, ) from plyngent.memory import MemoryStore from plyngent.tools import set_workspace_root if TYPE_CHECKING: from collections.abc import AsyncIterator from pathlib import Path class DummyClient: @overload async def chat_completions( self, param: ChatCompletionsParam, *, stream: Literal[False] = False ) -> ChatCompletionResponse: ... @overload async def chat_completions( self, param: ChatCompletionsParam, *, stream: Literal[True] ) -> AsyncIterator[ChatCompletionChunk]: ... async def chat_completions( self, param: ChatCompletionsParam, *, stream: bool = False ) -> ChatCompletionResponse | AsyncIterator[ChatCompletionChunk]: del param if stream: async def empty() -> AsyncIterator[ChatCompletionChunk]: empty_chunks: list[ChatCompletionChunk] = [] for chunk in empty_chunks: yield chunk return empty() return ChatCompletionResponse( id="1", object="chat.completion", created=0, model="m", choices=[ ChatCompletionChoice( index=0, message=AssistantChatMessage(content="ok"), logprobs={}, finish_reason="stop", ) ], system_fingerprint="", usage={}, ) @pytest.fixture async def state(tmp_path: Path) -> AsyncIterator[ReplState]: _ = set_workspace_root(tmp_path) memory = await MemoryStore.open(DatabaseConfig()) provider = OpenAIProvider(access_key_or_token="sk-test") config = ConfigStore(path=tmp_path / "plyngent.toml", document=tomlkit.document()) config.providers = {"local": provider} st = ReplState( config=config, memory=memory, workspace=tmp_path, provider_name="local", provider=provider, model="gpt-test", tools_enabled=False, ) st.client = DummyClient() st.agent = ChatAgent(st.client, model=st.model, memory=st.memory, session_id=None) await st.new_session("t") yield st await memory.close() async def test_help_and_clear(state: ReplState) -> None: assert await handle_slash(state, "/help") is True state.agent.messages.append(AssistantChatMessage(content="x")) assert await handle_slash(state, "/clear") is True assert state.agent.messages == [] async def test_quit(state: ReplState) -> None: assert await handle_slash(state, "/quit") is False async def test_new_and_sessions(state: ReplState, capsys: pytest.CaptureFixture[str]) -> None: first = state.session_id assert await handle_slash(state, "/new other") is True assert state.session_id != first assert await handle_slash(state, "/sessions") is True out = capsys.readouterr().out assert str(state.session_id) in out async def test_tools_toggle(state: ReplState) -> None: assert await handle_slash(state, "/tools on") is True assert state.tools_enabled is True assert await handle_slash(state, "/tools off") is True assert state.tools_enabled is False async def test_resume(state: ReplState) -> None: sid = state.session_id assert sid is not None state.agent.messages.clear() assert await handle_slash(state, f"/resume {sid}") is True async def test_history(state: ReplState, capsys: pytest.CaptureFixture[str]) -> None: from plyngent.lmproto.openai_compatible.model import AssistantChatMessage, UserChatMessage state.agent.messages = [ UserChatMessage(content="hello"), AssistantChatMessage(content="hi there"), ] assert await handle_slash(state, "/history") is True out = capsys.readouterr().out assert "user: hello" in out assert "assistant: hi there" in out async def test_rounds(state: ReplState) -> None: assert await handle_slash(state, "/rounds 40") is True assert state.max_rounds == 40 # noqa: PLR2004 assert state.agent.max_rounds == 40 # noqa: PLR2004