mirror of
https://github.com/NCBM/plyngent.git
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f77ac7eea8
Add process-wide prompting backends for interactive human I/O; wire CLI limit/confirm/workspace prompts through it. Expose ask_user, choose_user, and form_user under tools/chat and include them in DEFAULT_TOOLS.
184 lines
6.3 KiB
Python
184 lines
6.3 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, Literal, cast, overload
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import pytest
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import tomlkit
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from plyngent.agent import ChatAgent
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from plyngent.cli.limits import prompt_workspace_mismatch
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from plyngent.cli.state import ReplState
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from plyngent.config.models import DatabaseConfig, OpenAIProvider
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from plyngent.config.store import ConfigStore
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from plyngent.lmproto.openai_compatible.model import (
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AssistantChatMessage,
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ChatCompletionChoice,
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ChatCompletionChunk,
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ChatCompletionResponse,
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ChatCompletionsParam,
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)
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from plyngent.memory import MemoryStore
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from plyngent.memory.database.store import normalize_workspace
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from plyngent.tools import set_workspace_root
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if TYPE_CHECKING:
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from collections.abc import AsyncIterator
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from pathlib import Path
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from plyngent.cli.limits import WorkspaceMismatchChoice
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class DummyClient:
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@overload
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async def chat_completions(
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self, param: ChatCompletionsParam, *, stream: Literal[False] = False
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) -> ChatCompletionResponse: ...
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@overload
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async def chat_completions(
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self, param: ChatCompletionsParam, *, stream: Literal[True]
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) -> AsyncIterator[ChatCompletionChunk]: ...
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async def chat_completions(
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self, param: ChatCompletionsParam, *, stream: bool = False
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) -> ChatCompletionResponse | AsyncIterator[ChatCompletionChunk]:
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del param
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if stream:
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async def empty() -> AsyncIterator[ChatCompletionChunk]:
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if False: # pragma: no cover
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yield cast("ChatCompletionChunk", None)
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return empty()
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return ChatCompletionResponse(
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id="1",
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object="chat.completion",
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created=0,
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model="m",
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choices=[
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ChatCompletionChoice(
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index=0,
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message=AssistantChatMessage(content="ok"),
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logprobs={},
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finish_reason="stop",
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)
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],
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system_fingerprint="",
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usage={},
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)
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def _make_state(memory: MemoryStore, workspace: Path) -> ReplState:
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_ = set_workspace_root(workspace)
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provider = OpenAIProvider(access_key_or_token="sk-test")
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config = ConfigStore(path=workspace / "plyngent.toml", document=tomlkit.document())
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config.providers = {"local": provider}
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st = ReplState(
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config=config,
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memory=memory,
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workspace=workspace,
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provider_name="local",
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provider=provider,
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model="gpt-test",
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tools_enabled=False,
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)
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st.client = DummyClient()
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st.agent = ChatAgent(st.client, model=st.model, memory=st.memory, session_id=None)
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return st
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def test_prompt_workspace_mismatch_choices() -> None:
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from plyngent.prompting import temporary_backend
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from tests.test_prompting import ScriptedBackend
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with temporary_backend(ScriptedBackend(["2"])):
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assert prompt_workspace_mismatch(1, "/old", "/new") == "rebind"
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with temporary_backend(ScriptedBackend(["1"])):
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assert prompt_workspace_mismatch(1, "/old", "/new") == "keep"
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with temporary_backend(ScriptedBackend(["3"])):
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assert prompt_workspace_mismatch(1, "/old", "/new") == "abort"
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with temporary_backend(ScriptedBackend(["abort"])):
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assert prompt_workspace_mismatch(1, "/old", "/new") == "abort"
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async def test_resume_mismatch_rebind(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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a = tmp_path / "a"
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b = tmp_path / "b"
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a.mkdir()
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b.mkdir()
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memory = await MemoryStore.open(DatabaseConfig())
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try:
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session = await memory.create_session(name="t", workspace=a)
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state = _make_state(memory, b)
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def choose(*_a: object, **_k: object) -> WorkspaceMismatchChoice:
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return cast("WorkspaceMismatchChoice", "rebind")
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monkeypatch.setattr("plyngent.cli.limits.prompt_workspace_mismatch", choose)
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await state.resume_session(session.sid)
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assert normalize_workspace(state.workspace) == normalize_workspace(b)
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row = await memory.get_session(session.sid)
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assert row is not None
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assert row.workspace == normalize_workspace(b)
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finally:
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await memory.close()
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async def test_resume_mismatch_keep(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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a = tmp_path / "a"
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b = tmp_path / "b"
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a.mkdir()
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b.mkdir()
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memory = await MemoryStore.open(DatabaseConfig())
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try:
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session = await memory.create_session(name="t", workspace=a)
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state = _make_state(memory, b)
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def choose(*_a: object, **_k: object) -> WorkspaceMismatchChoice:
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return cast("WorkspaceMismatchChoice", "keep")
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monkeypatch.setattr("plyngent.cli.limits.prompt_workspace_mismatch", choose)
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await state.resume_session(session.sid)
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assert normalize_workspace(state.workspace) == normalize_workspace(a)
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row = await memory.get_session(session.sid)
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assert row is not None
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assert row.workspace == normalize_workspace(a)
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finally:
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await memory.close()
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async def test_resume_mismatch_abort(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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a = tmp_path / "a"
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b = tmp_path / "b"
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a.mkdir()
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b.mkdir()
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memory = await MemoryStore.open(DatabaseConfig())
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try:
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session = await memory.create_session(name="t", workspace=a)
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state = _make_state(memory, b)
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def choose(*_a: object, **_k: object) -> WorkspaceMismatchChoice:
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return cast("WorkspaceMismatchChoice", "abort")
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monkeypatch.setattr("plyngent.cli.limits.prompt_workspace_mismatch", choose)
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with pytest.raises(ValueError, match="aborted"):
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await state.resume_session(session.sid)
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assert normalize_workspace(state.workspace) == normalize_workspace(b)
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finally:
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await memory.close()
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async def test_resume_unbound_binds_current(tmp_path: Path) -> None:
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memory = await MemoryStore.open(DatabaseConfig())
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try:
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session = await memory.create_session(name="legacy")
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assert session.workspace is None
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state = _make_state(memory, tmp_path)
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await state.resume_session(session.sid)
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row = await memory.get_session(session.sid)
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assert row is not None
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assert row.workspace == normalize_workspace(tmp_path)
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finally:
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await memory.close()
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