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alvinfeiandCursor a15e72178e fix(web): distinguish scanned and saved imports
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-18 20:54:54 +08:00
11 changed files with 57 additions and 369 deletions

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-5
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@@ -14,11 +14,6 @@ Hy Memory and MemHub are versioned and released independently.
## Unreleased
- Clarified that `add(metadata=...)` carries legacy SDK processing options,
while persistent caller business context belongs in `meta`.
- Added an opt-in `get(..., include_raw=True)` path for reading `L1_RAW`
memories, including memories written in lite mode. The default remains
hidden for backward compatibility.
- Removed MemHub's task-scoped HyPermission store wrappers and global
model-content consent switch. The trusted embedded Hy Memory SDK now uses
its native local stores directly.
-15
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@@ -106,15 +106,6 @@ result = client.add(
)
```
`metadata` 与 `meta` 不是同一字段:
- `metadata` 是兼容旧调用方保留的 SDK 处理选项,会进入内部
`WriteRequest.extra`,不保证持久化或随查询结果返回。
- `meta` 是调用方的业务上下文,会持久化并在 `search()`、`get()` 等结果中返回。
同一记忆被多次合并时,各次 `meta` 会按写入顺序保存在列表中。
需要以后读回的数据必须放在 `meta`,不要放在 `metadata`。
`scene` 的公开取值:
- `None`:普通文本直接走 chat;messages 含 tool 时执行快速场景判断。
@@ -272,8 +263,6 @@ catalog 也可以在没有基础 L0 时形成只读的合成画像。
```python
memory = client.get("memory_id")
# lite 模式写入的是 L1_RAW;按 ID 读取时必须显式选择返回原文。
raw_memory = client.get("memory_id", include_raw=True)
result = client.update("memory_id", "更新后的内容")
result = client.delete("memory_id")
result = client.delete_all(user_id="user_001")
@@ -293,10 +282,6 @@ result = client.clone_user("user_001", "user_002", agent_id=None)
对应异步方法为 `async_get()`、`async_update()`、`async_delete()`、
`async_delete_all()`、`async_list_memories()`、`async_clone_user()`。
`get()` / `async_get()` 默认继续隐藏 `L1_RAW`,因此不会改变现有调用方的原文访问
边界。只有显式传入 `include_raw=True` 才返回该层;这也是 lite 模式按 ID 读取
写入内容及其 `meta` 的方式。MemHub 的 HTTP 读取接口不开放此参数。
普通 `list_memories()` 返回 `vdb` 桶,并在 Graph 有结果时附带 `graph`;传入
`workspace_id` 时返回生产力记忆的 `scene="productivity"` 和 `experiences`。
+12 -39
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@@ -1597,9 +1597,7 @@ class HyMemoryClient:
session_id: Session ID(三级隔离 key)
source: 调用来源,例如 openclaw / cursor / codex;与 agent_id 正交。
写入前执行 strip().lower(),默认 "default"。
metadata: 旧版 SDK 处理选项,会并入内部 WriteRequest.extra。
不保证持久化或随查询返回;调用方需要保存并读回的业务字段
请使用 meta。
metadata: 自定义元数据
memory_at: 记忆时间戳(不传则用当前时间),用于导入历史记忆
scene: 显式指定写入路由,跳过 LLM 自动判定。
- None(默认):含 tool 时 LLM 判 chat/working/coding;
@@ -1625,8 +1623,8 @@ class HyMemoryClient:
branch: Coding memory 路径专用。分支名。同 workspace_id。chat 路径忽略。
meta: 调用方自定义业务 meta,随本次产出的记忆存储、查询时原样返回。
不 embed、不参与召回、不作过滤条件。
与 metadata 不同:metadata 是旧版内部处理选项,
meta 独立持久化,只做业务透传。
与 metadata 不同:metadata 会并入 extra(含 SDK 内部控制键),
meta 独立存放,只做透传。
语义为「该次 write 时刻的上下文」,故存为 list——同一节点被
多次写入合并时会追加而非覆盖,详见 get() 返回的 meta 字段。
@@ -1793,26 +1791,17 @@ class HyMemoryClient:
query_embedding=query_embedding,
))
def get(
self,
memory_id: str,
*,
include_raw: bool = False,
) -> Optional[Dict[str, Any]]:
def get(self, memory_id: str) -> Optional[Dict[str, Any]]:
"""
获取单条记忆。
Args:
memory_id: 记忆 ID
include_raw: 是否允许返回 L1_RAW 原始记忆。默认 False,保持原有隐藏行为;
lite 模式的记忆均为 L1_RAW,需显式设为 True 才能按 ID 读取。
Returns:
{"memory_id", "content", "layer", "request_id", "elapsed_ms"} 或 None(不存在时)
"""
return self._loop_thread.run(
self.async_get(memory_id, include_raw=include_raw)
)
return self._loop_thread.run(self.async_get(memory_id))
def update(
self,
@@ -3661,21 +3650,12 @@ class HyMemoryClient:
# ================================================================
@_ensure_internal_loop
async def async_get(
self,
memory_id: str,
*,
include_raw: bool = False,
) -> Optional[Dict[str, Any]]:
async def async_get(self, memory_id: str) -> Optional[Dict[str, Any]]:
"""
获取单条记忆(异步)。
VDB + Graph 双路并行查询,哪个有结果返回哪个。
Args:
memory_id: 记忆 ID
include_raw: 是否允许返回 L1_RAW 原始记忆,默认 False。
Returns:
{"memory_id", "content", "layer", "source", "request_id", "elapsed_ms"} 或 None
"""
@@ -3703,24 +3683,17 @@ class HyMemoryClient:
vdb_node, graph_node = await _asyncio_get.gather(_get_vdb(), _get_graph())
# L1_RAW 默认不对外可见:按 ID 直取走主键查询、绕过向量库的 layer
# filter,故在此统一挡掉。SDK 调用方可通过 include_raw=True 显式读取;
# HTTP 接口不传该参数,继续保持隐藏。内部写链路不经过此方法。
# L1_RAW 不对外可见:按 ID 直取走主键查询、绕过向量库的 layer filter,
# 故在此统一挡掉。async_get 是 GET /v1/memories/{id} 与
# /v1/memories/batch 两个对外接口的共同必经处,而内部写链路不经过它
# (writer 写后校验直接调 vector_store.get_by_id),挡在此处不影响内部。
#
# 置于 gather 之后、埋点之前:命中 raw 仍照常落 GET 埋点(保留可观测性,
# 便于发现有调用方拿 raw id 试探),只是不把内容返回给调用方。
# 对调用方的表现与"该 id 不存在"完全一致,不额外暴露"存在但被挡"的信息。
if (
not include_raw
and vdb_node is not None
and vdb_node.layer == MemoryLayer.L1_RAW
):
if vdb_node is not None and vdb_node.layer == MemoryLayer.L1_RAW:
vdb_node = None
if (
not include_raw
and graph_node is not None
and getattr(graph_node, "layer", None) == MemoryLayer.L1_RAW
):
if graph_node is not None and getattr(graph_node, "layer", None) == MemoryLayer.L1_RAW:
graph_node = None
elapsed = round((time.perf_counter() - t0) * 1000, 2)
+1 -8
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@@ -2793,12 +2793,6 @@ def create_app(
# D75: work queued for the previous model continues with this one.
# Only tasks that never reached the model are re-bound.
await asyncio.to_thread(app.state.memory_task_store.rebind_unstarted_profile, profile)
# A missing profile is an event-driven wait, not a provider outage.
# Release those durable rows only now that activation has changed the
# condition; the ordinary drain poll will claim them without a restart.
await asyncio.to_thread(
app.state.memory_write_queue.readmit_model_profile_waiters
)
# Not awaited: the catch-up reads every conversation ever imported, and
# the answer to "which profile is active" does not depend on it.
_start_backfill(app)
@@ -5068,11 +5062,10 @@ def _source_writes_on(app: FastAPI, source_id: str) -> bool:
def _sedimentation_claim_enabled(app: FastAPI, source_id: str) -> bool:
"""Claim queued model work only when policy, source and model all admit it."""
"""Claim queued model work only while both global and source gates allow it."""
return (
_config_store(app).sedimentation_enabled()
and _model_profile_store(app).active_identity() is not None
and _history_import_gate_released(app)
and _source_writes_on(app, source_id)
)
@@ -282,24 +282,11 @@ class PollingLiveSyncSupervisor:
and job.status
in {ImportStatus.PENDING, ImportStatus.RUNNING, ImportStatus.INTERRUPTED}
]
bounded_history_incomplete = any(
job.source_id == source_id
and job.operation == "history"
and job.history_after is not None
and job.status is not ImportStatus.COMPLETED
for job in source_jobs
)
# Establish the realtime EOF independently even while history owns
# this source. Otherwise the P1 job starts from the P2 checkpoint
# (or from zero) and becomes a second full-history scan.
adapter = self.import_supervisor.adapters[source_id]
live_cursors = await self._live_cursors(source_id, adapter)
# A bounded onboarding history is the authority for everything up
# to its EOF. An adapter without a native live baseline has no safe
# realtime cursor until that history finishes; starting a sync from
# zero here would bypass `history_after` and import the old corpus.
if bounded_history_incomplete and not live_cursors:
return None
await self._live_cursors(source_id, adapter)
# Only one scan of a source may be in flight: they share the
# cursor, and two readers means every file read twice. With a
# catch-up still holding the source there is no free moment to ask
@@ -1404,12 +1404,11 @@ class DurableWriteQueue:
) -> int:
"""Re-admit `waiting_for_model` jobs whose wait has elapsed.
A model outage clears on its own, so transient waiters retry on a timer
A model outage clears on its own, so this state is retried on a timer
rather than waiting for a grant event like `waiting_for_permission`.
`model_profile_not_active` is excluded: only explicit activation can
change that condition. Keyed on `updated_at` so repeated calls while a
job is still parked do not reset its own clock; the attempt consumed by
the parking claim is returned, the same way `readmit_parked` does.
Keyed on `updated_at` so repeated calls while a job is still parked do
not reset its own clock; the attempt consumed by the parking claim is
returned, the same way `readmit_parked` does.
"""
now = now or datetime.now(UTC)
threshold = (now - after).isoformat()
@@ -1418,33 +1417,8 @@ class DurableWriteQueue:
"UPDATE memory_write_jobs SET state=?, lease_owner=NULL, "
"lease_expires_at=NULL, attempts=CASE WHEN attempts>0 "
"THEN attempts-1 ELSE 0 END, last_error=NULL, updated_at=? "
"WHERE state=? AND updated_at <= ? AND hy_invoked=0 "
"AND (last_error IS NULL OR last_error<>?)",
(
PENDING,
now.isoformat(),
WAITING_FOR_MODEL,
threshold,
"model_profile_not_active",
),
)
return changed.rowcount
def readmit_model_profile_waiters(self) -> int:
"""Re-admit no-profile work only after model activation changes the condition."""
now = datetime.now(UTC).isoformat()
with main_database(self.database_path).write() as connection, connection:
changed = connection.execute(
"UPDATE memory_write_jobs SET state=?, lease_owner=NULL, "
"lease_expires_at=NULL, attempts=CASE WHEN attempts>0 "
"THEN attempts-1 ELSE 0 END, last_error=NULL, updated_at=? "
"WHERE state=? AND last_error=? AND hy_invoked=0",
(
PENDING,
now,
WAITING_FOR_MODEL,
"model_profile_not_active",
),
"WHERE state=? AND updated_at <= ? AND hy_invoked=0",
(PENDING, now.isoformat(), WAITING_FOR_MODEL, threshold),
)
return changed.rowcount
@@ -2097,12 +2071,7 @@ async def execute_job(
# Never `logger.exception` here: it prints the exception's message,
# which may be a provider response or the user's own text. Log the
# already-sanitised code instead, matching `hy-failure-classification`.
if code == "model_profile_not_active":
logger.debug("durable_write_job_parked job_id=%s error_code=%s", job_id, code)
elif state in PARKED_STATES:
logger.info("durable_write_job_parked job_id=%s error_code=%s", job_id, code)
else:
logger.error("durable_write_job_failed job_id=%s error_code=%s", job_id, code)
logger.error("durable_write_job_failed job_id=%s error_code=%s", job_id, code)
return
await in_the_background(queue.settle, job_id, state=COMPLETED, owner=owner)
-111
View File
@@ -94,67 +94,6 @@ class SettledFixtureAdapter(IncrementalFixtureAdapter):
}
class BoundedOnboardingAdapter:
"""No native baseline: bounded history must establish the live cursor."""
descriptor = IncrementalFixtureAdapter.descriptor
def __init__(self) -> None:
self.include_new = False
async def detect(self) -> bool:
return True
async def scan(self, options: ScanOptions):
current = options.cursors.get("e" * 64)
checkpoint = current.checkpoint if current is not None else None
if checkpoint not in {"byte:10", "byte:20"}:
yield ScannedEvidence(
evidence=EvidenceInput(
source_id="fixture",
conversation_id="old-conversation",
message_id="old-message",
role="user",
written_by=WrittenBy.PERSON,
created_at=datetime(2020, 1, 1, tzinfo=UTC),
verbatim="old history",
origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
),
cursor=SourceCursor(
file_key="e" * 64,
file_identity="bounded",
checkpoint="byte:10",
checkpoint_anchor="f" * 64,
observed_size=20,
observed_modified_ns=1,
),
)
checkpoint = "byte:10"
if self.include_new and checkpoint != "byte:20":
yield ScannedEvidence(
evidence=EvidenceInput(
source_id="fixture",
conversation_id="new-conversation",
message_id="new-message",
role="user",
written_by=WrittenBy.PERSON,
created_at=datetime(2026, 10, 18, tzinfo=UTC),
verbatim="new append",
origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
),
cursor=SourceCursor(
file_key="e" * 64,
file_identity="bounded",
checkpoint="byte:20",
checkpoint_anchor="1" * 64,
observed_size=20,
observed_modified_ns=2,
read_to_end=True,
),
)
yield ScanProgressEvent(phase=ScanPhase.DONE)
class HoldingHistoryAdapter:
"""First scan blocks until cancelled; later scans yield one new record."""
@@ -389,56 +328,6 @@ def test_live_sync_does_not_resume_a_history_import_the_user_paused(tmp_path) ->
asyncio.run(scenario())
def test_bounded_onboarding_history_establishes_cursor_before_first_sync(tmp_path) -> None:
async def scenario() -> None:
database = tmp_path / "one-memory.sqlite3"
evidence = EvidenceStore(database)
jobs = ImportJobStore(database)
adapter = BoundedOnboardingAdapter()
imports = ImportSupervisor(
adapters={"fixture": adapter},
evidence_store=evidence,
job_store=jobs,
)
live_sync = PollingLiveSyncSupervisor(
source_ids=("fixture",),
import_supervisor=imports,
job_store=jobs,
)
history = imports.create_job("fixture", operation="history")
with sqlite3.connect(database) as connection, connection:
connection.execute(
"UPDATE import_jobs SET history_after=? WHERE job_id=?",
(datetime(2026, 10, 15, tzinfo=UTC).isoformat(), history.job_id),
)
# With no native baseline, sync must wait instead of scanning from zero
# and bypassing the onboarding history window.
assert await live_sync.trigger("fixture") is None
assert not [job for job in jobs.list_jobs() if job.operation == "sync"]
imports.enqueue(history.job_id)
completed = await imports.wait(history.job_id)
assert completed.status is ImportStatus.COMPLETED
assert completed.stored == 0
assert completed.skipped == 1
assert evidence.count() == 0
# Once bounded history has advanced the cursor to EOF, normal realtime
# appends are admitted without retaining the three-day cutoff forever.
adapter.include_new = True
synced = await live_sync.trigger("fixture")
assert synced is not None
assert synced.status is ImportStatus.COMPLETED
assert synced.stored == 1
records = evidence.list_extractable()
assert [record.verbatim for record in records] == ["new append"]
await live_sync.shutdown()
await imports.shutdown()
asyncio.run(scenario())
def test_a_sync_left_running_after_its_worker_died_is_started_again(tmp_path) -> None:
"""A running row with no live worker used to be returned as 'already syncing'.
@@ -5,7 +5,6 @@ from __future__ import annotations
import asyncio
import contextlib
import json
import logging
import sqlite3
import threading
import time
@@ -1370,30 +1369,24 @@ def test_a_machine_error_code_is_preserved(tmp_path) -> None:
assert safe_error_code(ValueError("some sentence with spaces")) == "ValueError"
def test_an_inactive_profile_parks_without_error_logging(tmp_path, caplog) -> None:
def test_an_inactive_profile_parks_for_model_before_any_send(tmp_path) -> None:
"""A pre-bridge model-not-ready code parks and keeps the intent."""
path = tmp_path / "one-memory.sqlite3"
queue = DurableWriteQueue(path)
record = queue.submit(_request())
_claim_through_drain(queue, record.job_id)
with caplog.at_level(
logging.DEBUG,
logger="one_memory.memory_server.durable_queue",
):
asyncio.run(
execute_job(
record.job_id,
queue=queue,
supervisor=_Recorder(error=RuntimeError("model_profile_not_active")),
evidence=_EvidenceStore({"e1"}),
)
asyncio.run(
execute_job(
record.job_id,
queue=queue,
supervisor=_Recorder(error=RuntimeError("model_profile_not_active")),
evidence=_EvidenceStore({"e1"}),
)
)
assert _state(path, record.job_id) == WAITING_FOR_MODEL
assert _rows(path)[0]["hy_invoked"] == 0
assert "durable_write_job_failed" not in caplog.text
assert "durable_write_job_parked" in caplog.text
def test_an_authorization_stop_cancels_instead_of_failing(tmp_path) -> None:
@@ -1553,7 +1546,7 @@ def test_parking_does_not_burn_the_retry_budget(tmp_path) -> None:
assert queue.get("idem-1").state == PENDING
def test_a_transient_model_waiter_is_readmitted_once_its_wait_elapses(tmp_path) -> None:
def test_a_model_waiter_is_readmitted_once_its_wait_elapses(tmp_path) -> None:
"""A model outage clears on its own; nothing re-admits it otherwise.
`waiting_for_permission` needs a grant event, but `waiting_for_model` is
@@ -1571,7 +1564,7 @@ def test_a_transient_model_waiter_is_readmitted_once_its_wait_elapses(tmp_path)
queue.settle(
record.job_id,
state=WAITING_FOR_MODEL,
error_code="model_secret_unavailable",
error_code="model_profile_not_active",
hy_invoked=False,
)
@@ -1588,8 +1581,8 @@ def test_a_transient_model_waiter_is_readmitted_once_its_wait_elapses(tmp_path)
assert _rows(path)[0]["attempts"] == 0
def test_no_profile_waiter_is_readmitted_only_after_activation(tmp_path) -> None:
"""No timer can create a model profile; activation owns this transition."""
def test_readmitting_a_model_waiter_clears_its_stale_detail(tmp_path) -> None:
"""The timer readmission path must clear the old blocking reason too."""
path = tmp_path / "one-memory.sqlite3"
queue = DurableWriteQueue(path)
record = queue.submit(_request())
@@ -1601,50 +1594,13 @@ def test_no_profile_waiter_is_readmitted_only_after_activation(tmp_path) -> None
)
now = datetime.now(UTC)
assert queue.readmit_model_waiters(now=now + timedelta(minutes=2)) == 0
parked = queue.get("idem-1")
assert parked.state == WAITING_FOR_MODEL
assert parked.detail == "model_profile_not_active"
assert queue.readmit_model_waiters(now=now + timedelta(minutes=2)) == 1
assert queue.readmit_model_profile_waiters() == 1
readmitted = queue.get("idem-1")
assert readmitted.state == PENDING
assert readmitted.detail == ""
def test_no_profile_backlog_stays_parked_across_maintenance_cycles(tmp_path) -> None:
path = tmp_path / "one-memory.sqlite3"
queue = DurableWriteQueue(path)
for index in range(100):
record = queue.submit(_request(key=f"no-profile-{index}"))
queue.settle(
record.job_id,
state=WAITING_FOR_MODEL,
error_code="model_profile_not_active",
hy_invoked=False,
)
with sqlite3.connect(path) as connection, connection:
connection.execute(
"UPDATE memory_write_jobs SET attempts=1,"
"updated_at='2000-01-01T00:00:00+00:00'"
)
first = datetime.now(UTC)
assert queue.readmit_model_waiters(now=first, after=timedelta(0)) == 0
assert (
queue.readmit_model_waiters(
now=first + timedelta(minutes=2),
after=timedelta(0),
)
== 0
)
with sqlite3.connect(path) as connection:
assert connection.execute(
"SELECT state,attempts,COUNT(*) FROM memory_write_jobs "
"GROUP BY state,attempts"
).fetchall() == [(WAITING_FOR_MODEL, 1, 100)]
def test_readmit_parked_cannot_resurrect_a_terminal_row(tmp_path) -> None:
"""Only parked states may be re-admitted, never a finished write.
@@ -259,17 +259,12 @@ def test_activation_survives_a_corpus_already_imported(tmp_path) -> None:
),
secrets=secrets,
)
readmissions: list[bool] = []
app.state.memory_write_queue.readmit_model_profile_waiters = (
lambda: readmissions.append(True) or 0
)
activated = await client.post(f"/api/v1/model-profiles/{profile_id}/activate")
assert activated.status_code == 200
assert activated.json()["is_active"] is True
assert API_KEY not in activated.text
assert readmissions == [True]
# Started, not waited for: the walk reads every conversation.
assert not app.state.memory_backfill.done()
@@ -111,9 +111,6 @@ def test_the_manual_source_is_admitted_by_grant_without_a_toggle(tmp_path) -> No
app = SimpleNamespace(
state=SimpleNamespace(
config_store=config,
model_profile_store=SimpleNamespace(
active_identity=lambda: ("profile", 1)
),
source_grant_store=SimpleNamespace(
receipt=lambda **_kwargs: SimpleNamespace(revoked_at=None)
),
@@ -128,21 +125,6 @@ def test_the_manual_source_is_admitted_by_grant_without_a_toggle(tmp_path) -> No
assert _sedimentation_claim_enabled(app, "one-memory-manual") is False
def test_claim_gate_waits_without_polling_when_no_model_is_active(tmp_path) -> None:
config = ConfigStore(tmp_path)
app = SimpleNamespace(
state=SimpleNamespace(
config_store=config,
model_profile_store=SimpleNamespace(active_identity=lambda: None),
source_grant_store=SimpleNamespace(
receipt=lambda **_kwargs: SimpleNamespace(revoked_at=None)
),
)
)
assert _sedimentation_claim_enabled(app, "one-memory-manual") is False
def test_first_import_gate_waits_for_every_selected_history_job() -> None:
state = SimpleNamespace(
status="importing",
+23 -59
View File
@@ -12,9 +12,8 @@ L1_RAW 对外读路径不可见:闸门焊在向量库唯一查询入口。
hybrid_search_native / list_by_user 四个查询方法的共同必经处,
上层无法绕开,新增接口自动受保护。
按 ID 直取走主键查询、不经过 filter,故在 `client.async_get` 处默认挡住。
Python SDK 调用方可显式传 `include_raw=True` 读取;HTTP 接口不传该参数,
继续保持原有隐藏行为。
按 ID 直取走主键查询、不经过 filter,故在 `client.async_get` 处单独挡
(GET /v1/memories/{id} 与 /v1/memories/batch 的共同必经处)。
内部管线需读原始对话时显式 allow_raw_layer=True 放行:
- `writer._get_recent_dialogue_history`:提取前拼多轮对话历史喂 LLM
@@ -125,63 +124,28 @@ class TestListNoLongerFiltersInProcess:
"list 又出现进程内过滤 raw 的写法,应交由 vdb 侧 filter 完成"
class TestGetByIdRawOptIn:
"""按 ID 直取默认隐藏 raw,只有 SDK 显式选择时才返回。"""
class TestGetByIdPathBlocksRaw:
"""按 ID 直取:走主键查询不经 filter,须在 async_get 处挡住。"""
@staticmethod
def _client(node):
from hy_memory.client import HyMemoryClient
class Store:
async def get_by_id(self, memory_id):
return node if memory_id == node.node_id else None
async def no_op_log(**kwargs):
return None
client = HyMemoryClient.__new__(HyMemoryClient)
client._vector_store = Store()
client._graph_store = None
client._backend_identity = lambda: {}
client._maybe_store_op_log = no_op_log
return client
@staticmethod
def _raw_node():
return MemoryNode(
node_id="raw-1",
user_id="u1",
agent_id="a1",
session_id="s1",
content="原始对话",
layer=MemoryLayer.L1_RAW,
status=MemoryStatus.ACTIVE,
custom={"meta": [{"source": "test"}]},
)
def test_default_still_hides_raw(self):
from hy_memory.client import HyMemoryClient
client = self._client(self._raw_node())
raw_get = HyMemoryClient.async_get.__wrapped__
assert run(raw_get(client, "raw-1")) is None
def test_explicit_include_raw_returns_lite_memory(self):
from hy_memory.client import HyMemoryClient
client = self._client(self._raw_node())
raw_get = HyMemoryClient.async_get.__wrapped__
result = run(raw_get(client, "raw-1", include_raw=True))
assert result["memory_id"] == "raw-1"
assert result["content"] == "原始对话"
assert result["layer"] == MemoryLayer.L1_RAW.value
assert result["meta"] == [{"source": "test"}]
def test_public_get_exposes_keyword_only_opt_in(self):
def test_async_get_drops_raw_node(self):
import inspect
from hy_memory.client import HyMemoryClient
src = inspect.getsource(HyMemoryClient.async_get)
assert "MemoryLayer.L1_RAW" in src, \
"async_get 未挡 raw,batch 与按 ID 单取会漏出原始对话"
param = inspect.signature(HyMemoryClient.get).parameters["include_raw"]
assert param.default is False
assert param.kind is inspect.Parameter.KEYWORD_ONLY
def test_block_happens_before_return(self):
"""挡的位置必须在两处 return 之前,否则等于没挡。"""
import inspect
from hy_memory.client import HyMemoryClient
lines = inspect.getsource(HyMemoryClient.async_get).splitlines()
block_at = next(
i for i, l in enumerate(lines)
if "MemoryLayer.L1_RAW" in l and "vdb_node" in l
)
first_return_at = next(
i for i, l in enumerate(lines)
if l.strip().startswith("return {")
)
assert block_at < first_return_at, \
f"挡 raw 在第 {block_at} 行、首个 return 在第 {first_return_at} 行,顺序错了"