Files
memory-gateway/tests/test_memory_system_service.py
tomtan 70cda923b2 Refactor OpenViking Memory API and User Management
- Updated API authentication headers to use `X-API-Key` for both admin and user APIs.
- Modified the account creation process to directly create user-specific accounts without requiring an admin workspace.
- Enhanced user creation to return account-specific details, including `admin_user_id`.
- Introduced new endpoints for retrieving task status and user profiles, allowing for more flexible user data management.
- Updated search functionality to include additional parameters such as `level` and `score_threshold`.
- Improved the handling of user keys in the storage layer to associate them with specific accounts.
- Added tests to validate the new user account creation process and search functionalities, ensuring proper integration with the OpenViking service.
- Included new documentation to reflect changes in API usage and expected request/response formats.
2026-05-27 16:09:28 +08:00

478 lines
18 KiB
Python

import asyncio
from memory_system_api.schemas import MessageIngestRequest, SearchRequest, SessionContextRequest
from memory_system_api.service import MemorySystemService
class FakeOpenViking:
def __init__(self, fail_on_append: bool = False):
self.fail_on_append = fail_on_append
self.calls = []
async def create_user(self, user_id: str) -> dict:
self.calls.append(("create_user", user_id))
return {"account_id": f"{user_id}_account", "admin_user_id": user_id, "user_key": f"{user_id}-key"}
def credential_for_user(
self,
user_id: str,
user_key: str,
agent_id: str | None = None,
) -> str:
self.calls.append(("credential_for_user", user_id, user_key, agent_id))
if user_key != f"{user_id}-key":
raise PermissionError("Invalid user key")
return f"key-{user_id}"
async def ensure_session(self, user_key: str, session_id: str) -> dict:
self.calls.append(("ensure_session", user_key, session_id))
return {"session_id": session_id}
async def append_message(self, user_key: str, session_id: str, role: str, content: str) -> dict:
self.calls.append(("append_message", user_key, session_id, role, content))
if self.fail_on_append:
raise RuntimeError("openviking append failed")
return {"message_count": len([call for call in self.calls if call[0] == "append_message"])}
async def find(self, user_key: str, query: str, limit: int) -> dict:
self.calls.append(("find", user_key, query, limit))
await asyncio.sleep(0.01)
return {"items": [{"source": "openviking-find"}]}
async def search(
self,
user_key: str,
query: str,
limit: int,
level: int = 2,
score_threshold: float = 0.8,
target_uri: str = "viking://user/memories",
) -> dict:
self.calls.append(("search", user_key, query, limit, level, score_threshold, target_uri))
await asyncio.sleep(0.01)
return {"items": [{"source": "openviking-search"}]}
async def search_profile_memories(self, user_key: str, query: str, limit: int, level: int) -> dict:
self.calls.append(("search_profile_memories", user_key, query, limit, level))
return {
"status": "ok",
"result": {
"memories": [
{
"context_type": "memory",
"uri": "viking://user/tom/memories/preferences/coffee.md",
"level": 2,
"score": 0.91,
"abstract": "用户喜欢喝咖啡。",
}
],
"resources": [],
"skills": [],
"total": 1,
},
}
async def get_session_context(self, user_key: str, session_id: str) -> dict:
self.calls.append(("get_session_context", user_key, session_id))
return {
"status": "ok",
"result": {
"latest_archive_overview": "# Working Memory\nUser likes coffee.",
"pre_archive_abstracts": [],
"messages": [],
"estimatedTokens": 42,
"stats": {"totalArchives": 1},
},
}
async def commit_session(self, user_key: str, session_id: str) -> dict:
self.calls.append(("commit_session", user_key, session_id))
return {"status": "ok", "result": {"task_id": "task-1", "archive_uri": "archive-1"}}
class FakeEverOS:
def __init__(self, fail_on_append: bool = False):
self.fail_on_append = fail_on_append
self.calls = []
async def append_message(self, user_id: str, session_id: str, role: str, content: str) -> dict:
self.calls.append(("append_message", user_id, session_id, role, content))
if self.fail_on_append:
raise RuntimeError("everos append failed")
return {"status": "accumulated"}
async def search(self, user_id: str, session_id: str | None, query: str, method: str, limit: int) -> dict:
self.calls.append(("search", user_id, session_id, query, method, limit))
await asyncio.sleep(0.01)
return {"items": [{"source": f"everos-{method}"}]}
async def flush(self, user_id: str, session_id: str) -> dict:
self.calls.append(("flush", user_id, session_id))
return {"status": "flushed"}
async def get_profile(self, user_id: str) -> dict:
self.calls.append(("get_profile", user_id))
return {
"data": {
"episodes": [],
"profiles": [
{
"id": "profile-1",
"user_id": user_id,
"profile_data": {"summary": "喜欢咖啡"},
}
],
"agent_cases": [],
"agent_skills": [],
"total_count": 1,
"count": 1,
}
}
class FakeEverOSWithVector(FakeEverOS):
async def search(self, user_id: str, session_id: str | None, query: str, method: str, limit: int) -> dict:
self.calls.append(("search", user_id, session_id, query, method, limit))
return {
"data": {
"episodes": [{"id": "episode-1", "vector": [0.1, 0.2]}],
"original_data": {
"episodes": {
"episode-1": {
"summary": "喜欢拿铁",
"vector": [0.1, 0.2],
"nested": {"vector": [0.3]},
}
}
},
}
}
class FakeEverOSVerbose(FakeEverOS):
async def search(self, user_id: str, session_id: str | None, query: str, method: str, limit: int) -> dict:
self.calls.append(("search", user_id, session_id, query, method, limit))
return {
"data": {
"episodes": [
{
"id": "episode-1",
"user_id": user_id,
"session_id": session_id,
"timestamp": "2026-05-22T07:50:51.750000Z",
"summary": "userB 在对话中表示自己喜欢拿铁。",
"subject": "UserB 表达对拿铁的喜好",
"episode": "userB 在对话中表示自己喜欢拿铁。",
"type": "Conversation",
"parent_id": "parent-1",
"score": 0.72,
"atomic_facts": [],
}
],
"profiles": [],
"raw_messages": [],
"query": {
"text": query,
"method": method,
"filters_applied": {"user_id": user_id, "session_id": session_id},
},
"original_data": {
"episodes": {
"episode-1": {
"id": "episode-1",
"summary": "userB 在对话中表示自己喜欢拿铁。",
"episode": "userB 在对话中表示自己喜欢拿铁。",
"vector_model": "Qwen3-VL-Embedding-2B",
}
}
},
}
}
def test_capture_includes_exception_type_when_message_is_empty():
service = MemorySystemService(openviking=FakeOpenViking(), everos=FakeEverOS())
class EmptyError(Exception):
pass
async def fail():
raise EmptyError()
response = asyncio.run(service._capture(fail))
assert response.status == "failed"
assert response.error == "EmptyError"
def test_create_user_delegates_to_openviking_only():
openviking = FakeOpenViking()
everos = FakeEverOS()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(service.create_user("alice"))
assert response.status == "success"
assert response.account == {"account_id": "alice_account", "admin_user_id": "alice", "user_key": "alice-key"}
assert openviking.calls == [("create_user", "alice")]
assert everos.calls == []
def test_search_removes_vectors_from_items_and_backend_results():
service = MemorySystemService(openviking=FakeOpenViking(), everos=FakeEverOSWithVector())
response = asyncio.run(service.search(
SearchRequest(user_id="tom", user_key="tom-key", session_id="sess-1", query="咖啡偏好", use_llm=False, limit=5),
))
assert response.items == [
{"source_backend": "openviking", "source": "openviking-search"},
{"source_backend": "everos", "memory_type": "episode", "id": "episode-1"},
]
assert not _has_key(response.backends["everos"].result, "vector")
def test_search_returns_compact_items_and_backend_diagnostics_without_duplicate_raw_payloads():
service = MemorySystemService(openviking=FakeOpenViking(), everos=FakeEverOSVerbose())
response = asyncio.run(service.search(
SearchRequest(user_id="tom", user_key="tom-key", session_id="sess-1", query="我喜欢喝什么?", use_llm=True),
))
assert response.items == [
{"source_backend": "openviking", "source": "openviking-search"},
{
"source_backend": "everos",
"memory_type": "episode",
"id": "episode-1",
"user_id": "tom",
"session_id": "sess-1",
"timestamp": "2026-05-22T07:50:51.750000Z",
"summary": "userB 在对话中表示自己喜欢拿铁。",
"score": 0.72,
},
]
assert response.backends["everos"].result == {
"counts": {"episodes": 1, "profiles": 0, "raw_messages": 0},
"query": {
"text": "我喜欢喝什么?",
"method": "agentic",
"filters_applied": {"user_id": "tom", "session_id": "sess-1"},
},
}
assert not _has_key(response.backends["everos"].result, "original_data")
def test_session_context_combines_openviking_context_and_everos_search_items():
openviking = FakeOpenViking()
everos = FakeEverOSVerbose()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(
service.get_session_context(
"sess-1",
SessionContextRequest(user_id="tom", user_key="tom-key", query="我喜欢喝什么?", limit=5),
)
)
assert response.status == "success"
assert response.context == {
"latest_archive_overview": "# Working Memory\nUser likes coffee.",
"pre_archive_abstracts": [],
"messages": [],
"estimatedTokens": 42,
"stats": {"totalArchives": 1},
}
assert response.items == [
{
"source_backend": "everos",
"memory_type": "episode",
"id": "episode-1",
"user_id": "tom",
"session_id": "sess-1",
"timestamp": "2026-05-22T07:50:51.750000Z",
"summary": "userB 在对话中表示自己喜欢拿铁。",
"score": 0.72,
}
]
assert ("credential_for_user", "tom", "tom-key", "sess-1") in openviking.calls
assert ("get_session_context", "key-tom", "sess-1") in openviking.calls
assert ("search", "tom", "sess-1", "我喜欢喝什么?", "hybrid", 5) in everos.calls
def test_profile_combines_everos_profile_and_openviking_memory_search():
openviking = FakeOpenViking()
everos = FakeEverOS()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(service.get_profile("tom", "tom-key", query="我想喝东西", limit=10, level=2))
assert response.status == "success"
assert response.profile == {
"data": {
"episodes": [],
"profiles": [
{
"id": "profile-1",
"user_id": "tom",
"profile_data": {"summary": "喜欢咖啡"},
}
],
"agent_cases": [],
"agent_skills": [],
"total_count": 1,
"count": 1,
}
}
assert response.items == [
{
"source_backend": "openviking",
"context_type": "memory",
"uri": "viking://user/tom/memories/preferences/coffee.md",
"level": 2,
"score": 0.91,
"abstract": "用户喜欢喝咖啡。",
}
]
assert response.backends["everos"].result == {
"total_count": 1,
"count": 1,
"counts": {
"episodes": 0,
"profiles": 1,
"agent_cases": 0,
"agent_skills": 0,
},
}
assert "profiles" not in response.backends["everos"].result
assert ("credential_for_user", "tom", "tom-key", None) in openviking.calls
assert ("search_profile_memories", "key-tom", "我想喝东西", 10, 2) in openviking.calls
assert everos.calls == [("get_profile", "tom")]
def _has_key(value, key: str) -> bool:
if isinstance(value, dict):
return key in value or any(_has_key(item, key) for item in value.values())
if isinstance(value, list):
return any(_has_key(item, key) for item in value)
return False
def test_ingest_splits_user_and_assistant_messages():
openviking = FakeOpenViking()
everos = FakeEverOS()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(service.ingest_messages(
MessageIngestRequest(
user_id="tom",
user_key="tom-key",
session_id="sess-1",
user_message="我喜欢拿铁",
assistant_message="我记住了",
)
))
assert response.status == "success"
assert response.message_count == 2
assert openviking.calls == [
("credential_for_user", "tom", "tom-key", "sess-1"),
("ensure_session", "key-tom", "sess-1"),
("append_message", "key-tom", "sess-1", "user", "我喜欢拿铁"),
("append_message", "key-tom", "sess-1", "assistant", "我记住了"),
]
assert everos.calls == [
("append_message", "tom", "sess-1", "user", "我喜欢拿铁"),
("append_message", "tom", "sess-1", "assistant", "我记住了"),
]
def test_ingest_requires_at_least_one_message():
service = MemorySystemService(openviking=FakeOpenViking(), everos=FakeEverOS())
try:
asyncio.run(
service.ingest_messages(
MessageIngestRequest(user_id="tom", user_key="tom-key", session_id="sess-1"),
)
)
except ValueError as exc:
assert "at least one message" in str(exc)
else:
raise AssertionError("expected ValueError")
def test_ingest_returns_partial_success_when_one_backend_fails():
service = MemorySystemService(openviking=FakeOpenViking(fail_on_append=True), everos=FakeEverOS())
response = asyncio.run(service.ingest_messages(
MessageIngestRequest(user_id="tom", user_key="tom-key", session_id="sess-1", user_message="hello"),
))
assert response.status == "partial_success"
assert response.backends["openviking"].status == "failed"
assert response.backends["everos"].status == "success"
def test_commit_uses_user_key_without_account_id():
openviking = FakeOpenViking()
everos = FakeEverOS()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(service.commit_session("tom", "tom-key", "sess-1"))
assert response.status == "success"
assert openviking.calls == [
("credential_for_user", "tom", "tom-key", "sess-1"),
("commit_session", "key-tom", "sess-1"),
]
assert everos.calls == [("flush", "tom", "sess-1")]
def test_search_uses_openviking_search_and_hybrid_without_llm():
openviking = FakeOpenViking()
everos = FakeEverOS()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(service.search(
SearchRequest(
user_id="tom",
user_key="tom-key",
session_id="sess-1",
query="咖啡偏好",
use_llm=False,
limit=5,
level=3,
score_threshold=0.7,
target_uri="viking://user/custom/memories",
),
))
assert response.status == "success"
assert response.items == [
{"source_backend": "openviking", "source": "openviking-search"},
{"source_backend": "everos", "source": "everos-hybrid"},
]
assert ("credential_for_user", "tom", "tom-key", "sess-1") in openviking.calls
assert ("search", "key-tom", "咖啡偏好", 5, 3, 0.7, "viking://user/custom/memories") in openviking.calls
assert ("search", "tom", "sess-1", "咖啡偏好", "hybrid", 5) in everos.calls
def test_search_uses_search_and_agentic_with_llm():
openviking = FakeOpenViking()
everos = FakeEverOS()
service = MemorySystemService(openviking=openviking, everos=everos)
response = asyncio.run(service.search(
SearchRequest(user_id="tom", user_key="tom-key", session_id="sess-1", query="咖啡偏好", use_llm=True, limit=5),
))
assert response.status == "success"
assert response.items == [
{"source_backend": "openviking", "source": "openviking-search"},
{"source_backend": "everos", "source": "everos-agentic"},
]
assert ("credential_for_user", "tom", "tom-key", "sess-1") in openviking.calls
assert ("search", "key-tom", "咖啡偏好", 5, 2, 0.8, "viking://user/memories") in openviking.calls
assert ("search", "tom", "sess-1", "咖啡偏好", "agentic", 5) in everos.calls