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from types import SimpleNamespace
from pathlib import Path
import pytest
from langchain_core.messages import HumanMessage
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
from plugins._chat_compaction.helpers import compactor
class _FakeAgent:
def read_prompt(self, name: str, **kwargs):
if name == "compact.sys.md":
return "system"
if name == "compact.msg.md":
return kwargs.get("conversation", "")
raise AssertionError(f"Unexpected prompt: {name}")
class _FakeLog:
def __init__(self):
self.updates = []
self.streams = []
def update(self, **kwargs):
self.updates.append(kwargs)
def stream(self, **kwargs):
self.streams.append(kwargs)
class _RecordingModel:
def __init__(self):
self.user_messages = []
async def unified_call(self, system_message, user_message, response_callback=None):
self.user_messages.append(user_message)
if response_callback:
await response_callback("done", "done")
return f"summary-{len(self.user_messages)}", None
class _CompactionHistory:
def output(self):
return [{"ai": False, "content": "hello"}]
class _CompactionLog:
def __init__(self):
self.logs = []
self.entries = []
self.reset_called = False
self.progress = None
def log(self, **kwargs):
self.entries.append(kwargs)
return _FakeLog()
def reset(self):
self.reset_called = True
def set_progress(self, *args, **kwargs):
self.progress = (args, kwargs)
class _CompactionAgent:
DATA_NAME_RESPONSES_STATE = "responses_state"
def __init__(self):
self.history = _CompactionHistory()
self.data = {
"ctx_window": {
"text": "pre-compaction transcript with secret values",
"tokens": 42,
},
"responses_state": {
"response_id": "resp_current",
"previous_response_id": "resp_previous",
"response_ids": ["resp_previous", "resp_current"],
}
}
def get_data(self, key):
return self.data.get(key)
def set_data(self, key, value):
self.data[key] = value
def test_compaction_prompt_is_resumable_task_state_without_secret_values():
prompt = (
PROJECT_ROOT / "plugins" / "_chat_compaction" / "prompts" / "compact.sys.md"
).read_text(encoding="utf-8")
headings = [
"## Current objective and latest user request",
"## Authorized scope and prohibited actions",
"## Decisions and assumptions",
"## Completed work with evidence",
"## Modified files and artifacts",
"## Pending jobs and next executable step",
"## Blockers and checks not run",
"## Loaded skill names",
"## Secret references",
]
positions = [prompt.index(heading) for heading in headings]
assert positions == sorted(positions)
assert "Never include passwords, API keys, tokens, credentials" in prompt
assert "Preserve only a secret's name, purpose, storage location" in prompt
assert "Keep exact values: file paths, config values, code identifiers, credentials" not in prompt
assert "next executable step" in prompt
assert "job IDs" in prompt
def test_pre_compaction_backup_sanitizes_surrogate_text(tmp_path, monkeypatch):
monkeypatch.setattr(
compactor,
"get_chat_folder_path",
lambda _ctxid: str(tmp_path),
)
monkeypatch.setattr(
compactor,
"export_json_chat",
lambda _context: '{"content":"before\ud83dafter"}',
)
paths = compactor._save_pre_compaction_backup(
SimpleNamespace(id="surrogate-chat"),
"transcript before\ud83dafter",
)
json_backup = Path(paths["json"]).read_text(encoding="utf-8")
text_backup = Path(paths["txt"]).read_text(encoding="utf-8")
assert "\ud83d" not in json_backup
assert "\ud83d" not in text_backup
assert "before?after" in json_backup
assert "before?after" in text_backup
def test_compaction_splitter_wraps_single_line_85k_payload(monkeypatch):
monkeypatch.setattr(
compactor.tokens, "approximate_tokens", lambda text: len(text or "")
)
agent = _FakeAgent()
chunks = compactor._split_text_for_compaction(
agent,
"x" * 85_000,
token_count=85_000,
max_input_tokens=10_000,
)
assert len(chunks) > 2
assert all(chunks)
assert "".join(chunks) == "x" * 85_000
assert all(
compactor._compaction_input_tokens(agent, chunk) <= 10_000
for chunk in chunks
)
@pytest.mark.asyncio
async def test_large_compaction_does_not_send_unsplit_single_line_payload(monkeypatch):
monkeypatch.setattr(
compactor.tokens, "approximate_tokens", lambda text: len(text or "")
)
agent = _FakeAgent()
model = _RecordingModel()
summary = await compactor._compact_large_history(
agent,
"x" * 85_000,
token_count=85_000,
max_input_tokens=10_000,
log_item=_FakeLog(),
model=model,
)
chunk_messages = model.user_messages[:-1]
assert summary == f"summary-{len(model.user_messages)}"
assert len(chunk_messages) > 2
assert all(chunk_messages)
assert all(len(message) <= 10_000 for message in chunk_messages)
@pytest.mark.asyncio
async def test_manual_compaction_preserves_summary_and_clears_responses_state(
monkeypatch,
):
async def fake_single_pass(*args, **kwargs):
return "summary"
agent = _CompactionAgent()
context = SimpleNamespace(
id="compact-chat",
agent0=agent,
log=_CompactionLog(),
streaming_agent=object(),
)
monkeypatch.setattr(
compactor,
"_build_model",
lambda *args: ({"ctx_length": 128000}, _RecordingModel()),
)
monkeypatch.setattr(compactor, "_compact_single_pass", fake_single_pass)
monkeypatch.setattr(
compactor,
"_save_pre_compaction_backup",
lambda *args: {"txt": "/tmp/pre.txt"},
)
monkeypatch.setattr(compactor, "save_tmp_chat", lambda *args: None)
monkeypatch.setattr(compactor, "remove_msg_files", lambda *args: None)
monkeypatch.setattr(compactor, "mark_dirty_all", lambda *args, **kwargs: None)
await compactor.run_compaction(context)
prompt_history = agent.history.current.output_langchain()
assert len(prompt_history) == 1
assert isinstance(prompt_history[0], HumanMessage)
assert "## Context compacted\n\nsummary" in prompt_history[0].content
state = agent.data["responses_state"]
assert "response_id" not in state
assert "previous_response_id" not in state
assert state["response_ids"] == ["resp_previous", "resp_current"]
assert "ctx_window" not in agent.data
|