oclaw/tests/test_attachment_text_replay_guard.py
oliver 37a2ef35f4 实现附件处理链路的统一引用化与可检索增强,避免大文件/多模态内容直接撑爆上下文并提升工具可用性。
本次补齐 text/image/video/archive 的标准化处理、会话级工具守卫、回放压缩、配置与文档对齐,并修复表格与流式输出相关体验问题。

Made-with: Cursor
2026-04-26 15:25:50 +08:00

166 lines
5.3 KiB
Python

from __future__ import annotations
import json
from pathlib import Path
from oclaw.platform.persistence.sqlite_store import SqliteStore
from oclaw.runtime.direct_loop import _build_model_context
from oclaw.platform.llm.chat_models import RuleBasedChatModel
def test_large_text_attachment_is_guarded_in_history_context(tmp_path: Path) -> None:
store = SqliteStore(str(tmp_path / "t.sqlite"))
sess = store.create_session("t")
big = "X" * 10000
attachments = [{"type": "text", "name": "big.txt", "content": big}]
store.add_message(session_id=sess.id, role="user", content="hi", attachments=attachments)
msgs = _build_model_context(
store=store,
session_id=sess.id,
max_messages=50,
system_prompt="sys",
model=RuleBasedChatModel(),
lang="en",
memory_context=None,
trace_id=None,
parent_span_id=None,
tools=None,
base_url="",
user_text="",
prompt_build_context=None,
active_turn_uuid="different-turn",
)
# Ensure guard marker appears in injected context.
joined = json.dumps(msgs, ensure_ascii=False)
assert "Attachment (summarized for context replay)" in joined
assert "attachment_truncated_for_context_replay" in joined
def test_text_attachment_is_collapsed_when_text_ref_present(tmp_path: Path) -> None:
store = SqliteStore(str(tmp_path / "t2.sqlite"))
sess = store.create_session("t")
big = "Y" * 6000
attachments = [
{"type": "text", "name": "doc.txt", "content": big},
{"type": "text_ref", "name": "doc.txt", "text_id": "a" * 64, "chars": 6000, "chunks": 4, "source_kind": "txt"},
]
store.add_message(session_id=sess.id, role="user", content="hi", attachments=attachments)
msgs = _build_model_context(
store=store,
session_id=sess.id,
max_messages=50,
system_prompt="sys",
model=RuleBasedChatModel(),
lang="en",
memory_context=None,
trace_id=None,
parent_span_id=None,
tools=None,
base_url="",
user_text="",
prompt_build_context=None,
active_turn_uuid="different-turn",
)
joined = json.dumps(msgs, ensure_ascii=False)
assert "Attachment (collapsed; text_ref available)" in joined
assert "attachment_collapsed_for_context_replay" in joined
def test_large_image_tool_result_is_guarded_in_history_context(tmp_path: Path) -> None:
store = SqliteStore(str(tmp_path / "t3.sqlite"))
sess = store.create_session("t")
long_text = "OCR-LINE\n" * 1200
payload = {
"ok": True,
"task": "ocr",
"attachment_id": "b" * 64,
"text": long_text,
"backend_shape": "multi",
}
store.add_message(session_id=sess.id, role="tool", content=json.dumps(payload, ensure_ascii=False))
msgs = _build_model_context(
store=store,
session_id=sess.id,
max_messages=50,
system_prompt="sys",
model=RuleBasedChatModel(),
lang="en",
memory_context=None,
trace_id=None,
parent_span_id=None,
tools=None,
base_url="",
user_text="",
prompt_build_context=None,
active_turn_uuid="different-turn",
)
joined = json.dumps(msgs, ensure_ascii=False)
assert "image_tool_result_truncated_for_context_replay" in joined
assert "_image_tool_result_guarded" in joined
def test_small_image_tool_result_not_guarded(tmp_path: Path) -> None:
store = SqliteStore(str(tmp_path / "t4.sqlite"))
sess = store.create_session("t")
payload = {
"ok": True,
"task": "describe",
"attachment_id": "c" * 64,
"text": "A concise description of an icon.",
}
store.add_message(session_id=sess.id, role="tool", content=json.dumps(payload, ensure_ascii=False))
msgs = _build_model_context(
store=store,
session_id=sess.id,
max_messages=50,
system_prompt="sys",
model=RuleBasedChatModel(),
lang="en",
memory_context=None,
trace_id=None,
parent_span_id=None,
tools=None,
base_url="",
user_text="",
prompt_build_context=None,
active_turn_uuid="different-turn",
)
joined = json.dumps(msgs, ensure_ascii=False)
assert "image_tool_result_truncated_for_context_replay" not in joined
def test_large_video_transcript_tool_result_is_guarded_in_history_context(tmp_path: Path) -> None:
store = SqliteStore(str(tmp_path / "t5.sqlite"))
sess = store.create_session("t")
long_text = "LINE\n" * 2000
payload = {
"ok": True,
"task": "transcript",
"attachment_id": "d" * 64,
"text": long_text,
}
store.add_message(session_id=sess.id, role="tool", content=json.dumps(payload, ensure_ascii=False))
msgs = _build_model_context(
store=store,
session_id=sess.id,
max_messages=50,
system_prompt="sys",
model=RuleBasedChatModel(),
lang="en",
memory_context=None,
trace_id=None,
parent_span_id=None,
tools=None,
base_url="",
user_text="",
prompt_build_context=None,
active_turn_uuid="different-turn",
)
joined = json.dumps(msgs, ensure_ascii=False)
assert "video_tool_result_truncated_for_context_replay" in joined