X-iZhang
c5a4d559a2
- Added blank lines for better separation of test cases in multiple test files. - Reformatted event handling in tests for clarity and consistency. - Ensured consistent use of multi-line formatting for dictionary arguments in event handling. - Improved assertions and test descriptions for better understanding. - Updated test cases across various modules including test_stream_state, test_stream_utils, test_summarization, test_thread_selector, test_tool_error_handler, test_tui_widgets, test_ui_runtime, and test_wechat_channel.
396 lines
15 KiB
Python
396 lines
15 KiB
Python
"""Tests for the /compact command (compact_conversation helper)."""
|
|
|
|
import asyncio
|
|
from types import SimpleNamespace
|
|
from unittest.mock import AsyncMock, MagicMock, patch
|
|
|
|
import pytest
|
|
|
|
|
|
@pytest.fixture
|
|
def _run():
|
|
"""Helper to run async tests."""
|
|
loop = asyncio.new_event_loop()
|
|
yield loop.run_until_complete
|
|
loop.close()
|
|
|
|
|
|
class TestCompactGuards:
|
|
"""Guard conditions that return early without touching the middleware."""
|
|
|
|
def test_no_agent(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
|
|
result = _run(compact_conversation(agent=None, thread_id="abc"))
|
|
assert result.status == "noop"
|
|
assert "Nothing to compact" in result.message
|
|
|
|
def test_no_thread_id(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
|
|
result = _run(compact_conversation(agent=MagicMock(), thread_id=None))
|
|
assert result.status == "noop"
|
|
assert "Nothing to compact" in result.message
|
|
|
|
def test_empty_messages(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
|
|
agent = MagicMock()
|
|
snapshot = SimpleNamespace(values={"messages": []})
|
|
agent.aget_state = AsyncMock(return_value=snapshot)
|
|
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
assert result.status == "noop"
|
|
assert "no messages" in result.message
|
|
|
|
def test_state_read_failure(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
|
|
agent = MagicMock()
|
|
agent.aget_state = AsyncMock(side_effect=RuntimeError("DB gone"))
|
|
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
assert result.status == "error"
|
|
assert "Failed to read state" in result.message
|
|
|
|
|
|
class TestCompactCutoffZero:
|
|
"""When cutoff == 0, conversation is within retention budget."""
|
|
|
|
def test_nothing_to_compact_short_conversation(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
|
|
agent = MagicMock()
|
|
msgs = [MagicMock() for _ in range(3)]
|
|
snapshot = SimpleNamespace(values={"messages": msgs})
|
|
agent.aget_state = AsyncMock(return_value=snapshot)
|
|
|
|
mock_middleware_inst = MagicMock()
|
|
mock_middleware_inst._apply_event_to_messages.return_value = msgs
|
|
mock_middleware_inst._determine_cutoff_index.return_value = 0
|
|
|
|
mock_middleware_cls = MagicMock(return_value=mock_middleware_inst)
|
|
|
|
with (
|
|
patch(
|
|
"EvoScientist.EvoScientist._ensure_chat_model", return_value=MagicMock()
|
|
),
|
|
patch(
|
|
"EvoScientist.EvoScientist._get_default_backend",
|
|
return_value=MagicMock(),
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.SummarizationMiddleware",
|
|
mock_middleware_cls,
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.compute_summarization_defaults",
|
|
return_value={"keep": ("messages", 6)},
|
|
),
|
|
patch(
|
|
"langchain_core.messages.utils.count_tokens_approximately",
|
|
return_value=500,
|
|
),
|
|
):
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
|
|
assert result.status == "noop"
|
|
assert "within the retention budget" in result.message
|
|
assert result.tokens_before == 500
|
|
|
|
|
|
class TestCompactNegligibleSavings:
|
|
"""When cutoff > 0 but savings are too small to be worth it."""
|
|
|
|
def test_skip_when_few_messages_and_low_tokens(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
|
|
agent = MagicMock()
|
|
msgs = [MagicMock() for _ in range(15)]
|
|
snapshot = SimpleNamespace(
|
|
values={"messages": msgs, "_summarization_event": None}
|
|
)
|
|
agent.aget_state = AsyncMock(return_value=snapshot)
|
|
|
|
mock_middleware_inst = MagicMock()
|
|
mock_middleware_inst._apply_event_to_messages.return_value = msgs
|
|
mock_middleware_inst._determine_cutoff_index.return_value = 1
|
|
# 1 message to summarize (200 tokens), 14 to keep (22000 tokens)
|
|
mock_middleware_inst._partition_messages.return_value = (msgs[:1], msgs[1:])
|
|
|
|
mock_middleware_cls = MagicMock(return_value=mock_middleware_inst)
|
|
|
|
# to_summarize=200, to_keep=22000 → total=22200, 200/22200 < 2%
|
|
token_values = iter([200, 22000])
|
|
|
|
with (
|
|
patch(
|
|
"EvoScientist.EvoScientist._ensure_chat_model", return_value=MagicMock()
|
|
),
|
|
patch(
|
|
"EvoScientist.EvoScientist._get_default_backend",
|
|
return_value=MagicMock(),
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.SummarizationMiddleware",
|
|
mock_middleware_cls,
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.compute_summarization_defaults",
|
|
return_value={"keep": ("messages", 6)},
|
|
),
|
|
patch(
|
|
"langchain_core.messages.utils.count_tokens_approximately",
|
|
side_effect=lambda x: next(token_values),
|
|
),
|
|
):
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
|
|
assert result.status == "noop"
|
|
assert "not worth" in result.message
|
|
# No LLM call should have been made
|
|
mock_middleware_inst._acreate_summary.assert_not_called()
|
|
|
|
def test_still_compacts_when_few_messages_but_high_tokens(self, _run):
|
|
"""2 messages but they account for >2% of tokens — should compact."""
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
from langchain_core.messages import HumanMessage
|
|
|
|
agent = MagicMock()
|
|
msgs = [MagicMock() for _ in range(10)]
|
|
snapshot = SimpleNamespace(
|
|
values={"messages": msgs, "_summarization_event": None}
|
|
)
|
|
agent.aget_state = AsyncMock(return_value=snapshot)
|
|
agent.aupdate_state = AsyncMock()
|
|
|
|
summary_msg = HumanMessage(content="Summary")
|
|
|
|
mock_middleware_inst = MagicMock()
|
|
mock_middleware_inst._apply_event_to_messages.return_value = msgs
|
|
mock_middleware_inst._determine_cutoff_index.return_value = 2
|
|
mock_middleware_inst._partition_messages.return_value = (msgs[:2], msgs[2:])
|
|
mock_middleware_inst._acreate_summary = AsyncMock(return_value="Summary")
|
|
mock_middleware_inst._aoffload_to_backend = AsyncMock(return_value=None)
|
|
mock_middleware_inst._build_new_messages_with_path.return_value = [summary_msg]
|
|
mock_middleware_inst._compute_state_cutoff.return_value = 2
|
|
|
|
mock_middleware_cls = MagicMock(return_value=mock_middleware_inst)
|
|
|
|
# to_summarize=5000, to_keep=15000 → total=20000, 5000/20000=25% > 2%
|
|
token_values = iter([5000, 15000, 500])
|
|
|
|
with (
|
|
patch(
|
|
"EvoScientist.EvoScientist._ensure_chat_model", return_value=MagicMock()
|
|
),
|
|
patch(
|
|
"EvoScientist.EvoScientist._get_default_backend",
|
|
return_value=MagicMock(),
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.SummarizationMiddleware",
|
|
mock_middleware_cls,
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.compute_summarization_defaults",
|
|
return_value={"keep": ("messages", 6)},
|
|
),
|
|
patch(
|
|
"langchain_core.messages.utils.count_tokens_approximately",
|
|
side_effect=lambda x: next(token_values),
|
|
),
|
|
):
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
|
|
assert result.status == "ok"
|
|
agent.aupdate_state.assert_awaited_once()
|
|
|
|
|
|
class TestCompactSuccess:
|
|
"""Normal compaction flow."""
|
|
|
|
def test_successful_compaction(self, _run):
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
from langchain_core.messages import HumanMessage
|
|
|
|
agent = MagicMock()
|
|
msgs = [MagicMock() for _ in range(20)]
|
|
snapshot = SimpleNamespace(
|
|
values={"messages": msgs, "_summarization_event": None}
|
|
)
|
|
agent.aget_state = AsyncMock(return_value=snapshot)
|
|
agent.aupdate_state = AsyncMock()
|
|
|
|
summary_msg = HumanMessage(content="Summary of conversation")
|
|
to_summarize = msgs[:15]
|
|
to_keep = msgs[15:]
|
|
|
|
mock_middleware_inst = MagicMock()
|
|
mock_middleware_inst._apply_event_to_messages.return_value = msgs
|
|
mock_middleware_inst._determine_cutoff_index.return_value = 15
|
|
mock_middleware_inst._partition_messages.return_value = (to_summarize, to_keep)
|
|
mock_middleware_inst._acreate_summary = AsyncMock(return_value="Summary text")
|
|
mock_middleware_inst._aoffload_to_backend = AsyncMock(
|
|
return_value="/conversation_history/tid.md"
|
|
)
|
|
mock_middleware_inst._build_new_messages_with_path.return_value = [summary_msg]
|
|
mock_middleware_inst._compute_state_cutoff.return_value = 15
|
|
|
|
mock_middleware_cls = MagicMock(return_value=mock_middleware_inst)
|
|
|
|
# count_tokens_approximately returns different values per call
|
|
token_values = iter([5000, 1000, 200])
|
|
|
|
with (
|
|
patch(
|
|
"EvoScientist.EvoScientist._ensure_chat_model", return_value=MagicMock()
|
|
),
|
|
patch(
|
|
"EvoScientist.EvoScientist._get_default_backend",
|
|
return_value=MagicMock(),
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.SummarizationMiddleware",
|
|
mock_middleware_cls,
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.compute_summarization_defaults",
|
|
return_value={"keep": ("messages", 6)},
|
|
),
|
|
patch(
|
|
"langchain_core.messages.utils.count_tokens_approximately",
|
|
side_effect=lambda x: next(token_values),
|
|
),
|
|
):
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
|
|
assert result.status == "ok"
|
|
assert result.messages_compacted == 15
|
|
assert result.messages_kept == 5
|
|
assert result.tokens_before == 6000
|
|
assert result.tokens_after == 1200
|
|
assert result.pct_decrease == 80
|
|
agent.aupdate_state.assert_awaited_once()
|
|
|
|
# Verify the event structure passed to aupdate_state
|
|
call_args = agent.aupdate_state.call_args
|
|
event_data = call_args[0][1]
|
|
assert "_summarization_event" in event_data
|
|
assert event_data["_summarization_event"]["cutoff_index"] == 15
|
|
|
|
def test_offload_failure_non_fatal(self, _run):
|
|
"""Offload failure should not prevent compaction."""
|
|
from EvoScientist.cli.commands import compact_conversation
|
|
from langchain_core.messages import HumanMessage
|
|
|
|
agent = MagicMock()
|
|
msgs = [MagicMock() for _ in range(10)]
|
|
snapshot = SimpleNamespace(
|
|
values={"messages": msgs, "_summarization_event": None}
|
|
)
|
|
agent.aget_state = AsyncMock(return_value=snapshot)
|
|
agent.aupdate_state = AsyncMock()
|
|
|
|
summary_msg = HumanMessage(content="Summary")
|
|
|
|
mock_middleware_inst = MagicMock()
|
|
mock_middleware_inst._apply_event_to_messages.return_value = msgs
|
|
mock_middleware_inst._determine_cutoff_index.return_value = 7
|
|
mock_middleware_inst._partition_messages.return_value = (msgs[:7], msgs[7:])
|
|
mock_middleware_inst._acreate_summary = AsyncMock(return_value="Summary")
|
|
mock_middleware_inst._aoffload_to_backend = AsyncMock(
|
|
side_effect=RuntimeError("write failed")
|
|
)
|
|
mock_middleware_inst._build_new_messages_with_path.return_value = [summary_msg]
|
|
mock_middleware_inst._compute_state_cutoff.return_value = 7
|
|
|
|
mock_middleware_cls = MagicMock(return_value=mock_middleware_inst)
|
|
|
|
with (
|
|
patch(
|
|
"EvoScientist.EvoScientist._ensure_chat_model", return_value=MagicMock()
|
|
),
|
|
patch(
|
|
"EvoScientist.EvoScientist._get_default_backend",
|
|
return_value=MagicMock(),
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.SummarizationMiddleware",
|
|
mock_middleware_cls,
|
|
),
|
|
patch(
|
|
"deepagents.middleware.summarization.compute_summarization_defaults",
|
|
return_value={"keep": ("messages", 6)},
|
|
),
|
|
patch(
|
|
"langchain_core.messages.utils.count_tokens_approximately",
|
|
return_value=1000,
|
|
),
|
|
):
|
|
result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
|
|
|
|
assert result.status == "ok"
|
|
agent.aupdate_state.assert_awaited_once()
|
|
|
|
# file_path should be None in the event
|
|
event_data = agent.aupdate_state.call_args[0][1]
|
|
assert event_data["_summarization_event"]["file_path"] is None
|
|
|
|
|
|
class TestRenderCompactResult:
|
|
"""Test the Rich rendering of CompactResult."""
|
|
|
|
def test_render_noop(self):
|
|
from EvoScientist.cli.commands import CompactResult, render_compact_result
|
|
|
|
result = CompactResult("noop", "Nothing to compact", tokens_before=500)
|
|
text = render_compact_result(result)
|
|
plain = text.plain
|
|
assert "Nothing to compact" in plain
|
|
assert "500" in plain
|
|
|
|
def test_render_noop_no_tokens(self):
|
|
from EvoScientist.cli.commands import CompactResult, render_compact_result
|
|
|
|
result = CompactResult(
|
|
"noop", "Nothing to compact — no messages in conversation."
|
|
)
|
|
text = render_compact_result(result)
|
|
assert "Nothing to compact" in text.plain
|
|
|
|
def test_render_error(self):
|
|
from EvoScientist.cli.commands import CompactResult, render_compact_result
|
|
|
|
result = CompactResult("error", "Failed to read state: DB gone")
|
|
text = render_compact_result(result)
|
|
assert "Failed to read state" in text.plain
|
|
|
|
def test_render_ok(self):
|
|
from EvoScientist.cli.commands import CompactResult, render_compact_result
|
|
|
|
result = CompactResult(
|
|
"ok",
|
|
"Compacted",
|
|
messages_compacted=15,
|
|
messages_kept=5,
|
|
tokens_before=6000,
|
|
tokens_after=1200,
|
|
tokens_summarized=5000,
|
|
tokens_summary=200,
|
|
pct_decrease=80,
|
|
)
|
|
text = render_compact_result(result)
|
|
plain = text.plain
|
|
assert "15" in plain
|
|
assert "6,000" in plain
|
|
assert "1,200" in plain
|
|
assert "80%" in plain
|
|
assert "5 messages unchanged" in plain
|
|
|
|
def test_str_fallback(self):
|
|
from EvoScientist.cli.commands import CompactResult
|
|
|
|
result = CompactResult("ok", "hello world")
|
|
assert str(result) == "hello world"
|