mirror of
https://github.com/HKUDS/nanobot.git
synced 2026-06-13 22:34:06 +00:00
209 lines
6.9 KiB
Python
209 lines
6.9 KiB
Python
from types import SimpleNamespace
|
|
from unittest.mock import MagicMock
|
|
|
|
import pytest
|
|
|
|
from nanobot.agent.loop import AgentLoop
|
|
from nanobot.bus.events import InboundMessage
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.command.builtin import (
|
|
build_help_text,
|
|
builtin_command_palette,
|
|
cmd_goal,
|
|
cmd_model,
|
|
register_builtin_commands,
|
|
)
|
|
from nanobot.command.router import CommandContext, CommandRouter
|
|
from nanobot.config.schema import ModelPresetConfig
|
|
|
|
|
|
def _provider(default_model: str, max_tokens: int = 123) -> MagicMock:
|
|
provider = MagicMock()
|
|
provider.get_default_model.return_value = default_model
|
|
provider.generation = SimpleNamespace(
|
|
max_tokens=max_tokens,
|
|
temperature=0.1,
|
|
reasoning_effort=None,
|
|
)
|
|
return provider
|
|
|
|
|
|
def _make_loop(tmp_path) -> AgentLoop:
|
|
return AgentLoop(
|
|
bus=MessageBus(),
|
|
provider=_provider("base-model", max_tokens=123),
|
|
workspace=tmp_path,
|
|
model="base-model",
|
|
context_window_tokens=1000,
|
|
model_presets={
|
|
"default": ModelPresetConfig(
|
|
model="base-model",
|
|
max_tokens=123,
|
|
context_window_tokens=1000,
|
|
),
|
|
"fast": ModelPresetConfig(
|
|
model="openai/gpt-4.1",
|
|
max_tokens=4096,
|
|
context_window_tokens=32_768,
|
|
),
|
|
},
|
|
)
|
|
|
|
|
|
def _ctx(loop: AgentLoop, raw: str, args: str = "") -> CommandContext:
|
|
msg = InboundMessage(channel="cli", sender_id="user", chat_id="direct", content=raw)
|
|
return CommandContext(msg=msg, session=None, key=msg.session_key, raw=raw, args=args, loop=loop)
|
|
|
|
|
|
def _ctx_session(loop: AgentLoop, raw: str, args: str = "") -> CommandContext:
|
|
msg = InboundMessage(channel="cli", sender_id="user", chat_id="direct", content=raw)
|
|
return CommandContext(
|
|
msg=msg, session=MagicMock(), key=msg.session_key, raw=raw, args=args, loop=loop,
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_model_command_lists_current_and_available_presets(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
|
|
out = await cmd_model(_ctx(loop, "/model"))
|
|
|
|
assert "Current model: `base-model`" in out.content
|
|
assert "Current preset: `default`" in out.content
|
|
assert "Available presets: `default`, `fast`" in out.content
|
|
assert "`fast`" in out.content
|
|
assert out.metadata == {"render_as": "text"}
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_model_command_switches_preset(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
|
|
out = await cmd_model(_ctx(loop, "/model fast", args="fast"))
|
|
|
|
assert "Switched model preset to `fast`." in out.content
|
|
assert "Model: `openai/gpt-4.1`" in out.content
|
|
assert loop.model_preset == "fast"
|
|
assert loop.model == "openai/gpt-4.1"
|
|
assert loop.subagents.model == "openai/gpt-4.1"
|
|
assert loop.consolidator.model == "openai/gpt-4.1"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_model_command_switches_back_to_default(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
loop.set_model_preset("fast")
|
|
|
|
out = await cmd_model(_ctx(loop, "/model default", args="default"))
|
|
|
|
assert "Switched model preset to `default`." in out.content
|
|
assert loop.model_preset == "default"
|
|
assert loop.model == "base-model"
|
|
assert loop.context_window_tokens == 1000
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_model_command_unknown_preset_keeps_old_state(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
|
|
out = await cmd_model(_ctx(loop, "/model missing", args="missing"))
|
|
|
|
assert "Could not switch model preset" in out.content
|
|
assert "\"model_preset" not in out.content
|
|
assert "Available presets: `default`, `fast`" in out.content
|
|
assert loop.model_preset is None
|
|
assert loop.model == "base-model"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_model_command_does_not_depend_on_my_allow_set(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
assert loop.tools_config.my.allow_set is False
|
|
|
|
await cmd_model(_ctx(loop, "/model fast", args="fast"))
|
|
|
|
assert loop.model_preset == "fast"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_model_command_registered_as_exact_and_prefix(tmp_path) -> None:
|
|
router = CommandRouter()
|
|
register_builtin_commands(router)
|
|
loop = _make_loop(tmp_path)
|
|
|
|
out = await router.dispatch(_ctx(loop, "/model fast"))
|
|
|
|
assert out is not None
|
|
assert out.channel == "cli"
|
|
assert out.chat_id == "direct"
|
|
assert out.metadata == {"render_as": "text"}
|
|
assert out.content == "\n".join([
|
|
"Switched model preset to `fast`.",
|
|
"- Model: `openai/gpt-4.1`",
|
|
"- Context window: 32768",
|
|
"- Max output tokens: 4096",
|
|
])
|
|
assert loop.model_preset == "fast"
|
|
|
|
|
|
def test_model_command_in_help_and_palette() -> None:
|
|
palette = builtin_command_palette()
|
|
|
|
assert any(item["command"] == "/model" and item["arg_hint"] == "[preset]" for item in palette)
|
|
assert "/model [preset]" in build_help_text()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_goal_command_shows_usage_without_args(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
out = await cmd_goal(_ctx(loop, "/goal"))
|
|
assert out is not None
|
|
assert out.channel == "cli"
|
|
assert out.chat_id == "direct"
|
|
assert out.metadata == {"render_as": "text"}
|
|
assert out.content == "Usage: /goal <long-running task description>"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_goal_command_rejects_mid_turn_without_session(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
out = await cmd_goal(_ctx(loop, "/goal do work", args="do work"))
|
|
assert out is not None
|
|
assert out.channel == "cli"
|
|
assert out.chat_id == "direct"
|
|
assert out.metadata == {"render_as": "text"}
|
|
assert out.content == (
|
|
"A task is already running for this chat. "
|
|
"Use `/stop` first, then send `/goal <long-running task description>` again."
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_goal_command_rewrites_to_agent_prompt(tmp_path) -> None:
|
|
loop = _make_loop(tmp_path)
|
|
ctx = _ctx_session(loop, "/goal audit the repo", args="audit the repo")
|
|
out = await cmd_goal(ctx)
|
|
assert out is None
|
|
assert "audit the repo" in ctx.msg.content
|
|
assert "long_task" in ctx.msg.content
|
|
assert ctx.msg.metadata.get("original_command") == "/goal"
|
|
assert ctx.msg.metadata.get("original_content") == "/goal audit the repo"
|
|
assert isinstance(ctx.msg.metadata.get("goal_started_at"), int | float)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_goal_command_registered_on_router(tmp_path) -> None:
|
|
router = CommandRouter()
|
|
register_builtin_commands(router)
|
|
loop = _make_loop(tmp_path)
|
|
ctx = _ctx_session(loop, "/goal ship it", args="ship it")
|
|
out = await router.dispatch(ctx)
|
|
assert out is None
|
|
assert "ship it" in ctx.msg.content
|
|
|
|
|
|
def test_goal_command_in_help_and_palette() -> None:
|
|
palette = builtin_command_palette()
|
|
assert any(item["command"] == "/goal" and item["arg_hint"] == "<goal>" for item in palette)
|
|
assert "/goal <goal>" in build_help_text()
|