Files
qihuaiflow/backend/python/tests/test_context_engine.py
T

115 lines
3.7 KiB
Python

"""Phase 2 context-engine regression: _build_chat_history budget/layering/summary.
Pure unit test with a fake DB session — no network, no real model. Guards the
layered-memory + compression + isolation behaviour against regressions.
"""
from app.api.chat_context import _estimate_tokens, _build_chat_history
class _Msg:
def __init__(self, role, content, cid="c1"):
self.role = role
self.content = content
self.conversation_id = cid
class _Summary:
def __init__(self, text):
self.summary_text = text
class _Query:
def __init__(self, rows):
self._rows = list(rows)
def filter(self, *a, **k):
return self
def order_by(self, *a, **k):
# test pre-sorts newest-first to match desc(created_at)
return self
def limit(self, n=None):
return self
def all(self):
return self._rows
def first(self):
return self._rows[0] if self._rows else None
class _DB:
def __init__(self, messages, summary=None):
self._messages = messages
self._summary = summary
def query(self, model):
if getattr(model, "__name__", "") == "ConversationSummary":
return _Query([self._summary] if self._summary else [])
return _Query(self._messages)
def _newest_first(msgs):
# _build_chat_history expects desc(created_at) -> newest first.
# Test authors write the list already newest-first, so return as-is.
return list(msgs)
def test_estimate_tokens():
assert _estimate_tokens("") == 0
assert _estimate_tokens(None) == 0
assert _estimate_tokens("abcd") == 2 # 4//2
assert _estimate_tokens("a" * 5) == 2 # max(1, 5//2)=2
# just ensure positive monotonic
assert _estimate_tokens("x" * 100) == 50
def test_history_excludes_latest_user():
# newest-first: [current user, prev assistant, older user]
msgs = _newest_first([
_Msg("user", "current question"),
_Msg("assistant", "previous answer"),
_Msg("user", "older question"),
])
db = _DB(msgs)
out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
roles = [m["role"] for m in out]
# current user dropped; chronological order = [older user, previous assistant]
assert roles == ["user", "assistant"]
assert out[0]["content"] == "older question"
def test_summary_injected_as_system_first():
msgs = _newest_first([
_Msg("user", "hi"),
_Msg("assistant", "hello"),
])
db = _DB(msgs, summary=_Summary("用户想做图片生成"))
out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
assert out[0]["role"] == "system"
assert out[0]["content"].startswith("【对话历史摘要")
assert "用户想做图片生成" in out[0]["content"]
# after summary: chronological history (assistant then user 'hi' excluded? exclude_latest_user drops 'hi')
assert out[1]["role"] == "assistant"
def test_budget_truncation():
# 5 assistant messages each ~200 tokens; budget small -> truncated
msgs = _newest_first([_Msg("assistant", "x" * 400) for _ in range(5)])
db = _DB(msgs)
out = _build_chat_history(db, "c1", max_tokens=500, exclude_latest_user=False)
# each msg ~200 tokens; budget 500 -> keep newest ~2
assert len(out) <= 3
total = sum(_estimate_tokens(m["content"]) for m in out)
assert total <= 500 + 200 # within budget (+1 msg slack)
def test_no_summary_when_absent():
msgs = _newest_first([_Msg("user", "hi"), _Msg("assistant", "hello")])
db = _DB(msgs)
out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
# 'hi' excluded; only assistant remains, no system summary
assert all(m["role"] != "system" for m in out)
assert [m["role"] for m in out] == ["assistant"]