oclaw/tests/test_attachment_text_replay_guard.py
oliver d1bcc4debe feat: multimodal image clients, workspaces, Tushare skill, test fixes
- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path.
- Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment.
- Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata).
- Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper.
- Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-10 04:41:42 +08:00

202 lines
6.3 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",
}
tc_id = "c_img_hist_guard"
store.add_message(
session_id=sess.id,
role="assistant",
content="",
tool_calls=[{"id": tc_id, "name": "query_image_attachment", "arguments": {}}],
)
store.add_message(
session_id=sess.id,
role="tool",
content=json.dumps(payload, ensure_ascii=False),
tool_calls={"tool_call_id": tc_id, "name": "query_image_attachment"},
)
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.",
}
tc_id = "c_img_small_ok"
store.add_message(
session_id=sess.id,
role="assistant",
content="",
tool_calls=[{"id": tc_id, "name": "query_image_attachment", "arguments": {}}],
)
store.add_message(
session_id=sess.id,
role="tool",
content=json.dumps(payload, ensure_ascii=False),
tool_calls={"tool_call_id": tc_id, "name": "query_image_attachment"},
)
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,
}
tc_id = "c_vid_hist_guard"
store.add_message(
session_id=sess.id,
role="assistant",
content="",
tool_calls=[{"id": tc_id, "name": "query_video_attachment", "arguments": {}}],
)
store.add_message(
session_id=sess.id,
role="tool",
content=json.dumps(payload, ensure_ascii=False),
tool_calls={"tool_call_id": tc_id, "name": "query_video_attachment"},
)
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