Files
turnstone/tests/test_structured_memory_storage.py
T
Patrick Buckley 2169559d6e feat(projects): governed project containers — memory scope, grouping, manage UI (#724)
* feat(projects): governed project containers — memory scope, grouping, manage UI

A workstream can attach to a project: a first-class, shareable resource
container that owns a `project` memory scope, groups conversations, and is
managed from the console.

Storage / migration 062: projects + project_members tables, workstreams.
project_id, and the memory type default project→general; grants
project.{create,read,write,delete} (admin-default).

Recall + writes: project memory is recalled iff the workstream is attached AND
the user has access (owner ∨ member ∨ public-for-read), resolved once at session
construction; coordinators recall it too. New saves default to the project when
attached + writable; the save and delete paths are write-gated; deleting a
project purges its scoped memory; archived projects aren't recalled.

Access = RBAC capability ∧ per-project ACL (auth.resolve_project_access, a
single-fetch resolver); visibility changes, member management, and delete are
owner-only.

API: project CRUD routes on both the server and console; project_id threaded
through workstream creation, spawn inheritance, the cluster-create proxy, the
dashboard / snapshot / coordinator row builders, and the collector deltas.

UI: a project picker with an inline "+ New project" creator in every creation
box (console launcher + standalone dialog + dashboard); group-by-project in the
rail; a project badge in the composer and on dashboard rows; a console manage
tab (list + create/edit + members shelves). The admin Memories view gains
coordinator/project scope filters and human scope labels (name, not hex). The
memory tool schema documents the project scope and the attach-aware default.

* fix(projects): client refresh hardening, creator race guard, SDK project_id

Addresses PR #724 review feedback plus two bugs found while validating it.

- projects.js refreshProjects: a non-OK status (e.g. 403 when the caller
  lacks project.read) or a network/parse error no longer blanks the cache
  or masquerades as "no projects" -- the prior cache is preserved, the
  failure is recorded (new projectsError()) and warned. Honors the
  long-standing "a transient error can't blank the rail" docstring.
- projects.js _fp: the fingerprint separators were raw control bytes,
  which made git treat the whole file as binary (no reviewable diff).
  Rewritten as escape sequences instead of raw bytes -- behavior is
  byte-identical at runtime.
- project_creator.js: createProject() could reject unhandled (authFetch
  throws on network/401; r.json() throws on a non-JSON body), leaving the
  widget stuck busy/disabled. Added a .catch, plus a generation guard so a
  create whose widget was cancelled/reopened mid-flight drops its result
  instead of selecting a project the user backed out of.
- types.ts: add project_id to CreateWorkstreamRequest / WorkstreamInfo /
  DashboardWorkstream to match the server schemas (was SDK-invisible).
- test_project_api.py: move side-effecting HTTP calls out of asserts so
  the requests run even under python -O.

* fix(projects): JSON.stringify the cache fingerprint, drop control-byte separators

_fp joined fields/rows on raw NUL/SOH bytes, which made projects.js read as binary to git. Replace with a collision-proof, escape-free JSON.stringify encoding -- same change-detection semantics, zero embedded control characters.
2026-06-26 17:24:06 -07:00

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Python

"""Tests for structured memory storage backend operations."""
class TestCreateAndGet:
def test_create_and_get_by_id(self, backend):
backend.create_structured_memory("m1", "test_key", "desc", "general", "global", "", "data")
mem = backend.get_structured_memory("m1")
assert mem is not None
assert mem["name"] == "test_key"
assert mem["content"] == "data"
assert mem["type"] == "general"
def test_get_nonexistent(self, backend):
assert backend.get_structured_memory("nope") is None
def test_get_by_name(self, backend):
backend.create_structured_memory("m1", "mykey", "d", "general", "global", "", "val")
mem = backend.get_structured_memory_by_name("mykey", "global", "")
assert mem is not None
assert mem["memory_id"] == "m1"
def test_get_by_name_scoped(self, backend):
backend.create_structured_memory("m1", "key", "d", "general", "global", "", "g")
backend.create_structured_memory("m2", "key", "d", "general", "workstream", "ws1", "w")
g = backend.get_structured_memory_by_name("key", "global", "")
w = backend.get_structured_memory_by_name("key", "workstream", "ws1")
assert g["content"] == "g"
assert w["content"] == "w"
class TestUpdate:
def test_update_content(self, backend):
backend.create_structured_memory("m1", "k", "d", "general", "global", "", "old")
assert backend.update_structured_memory("m1", content="new")
mem = backend.get_structured_memory("m1")
assert mem["content"] == "new"
def test_update_nonexistent(self, backend):
assert not backend.update_structured_memory("nope", content="x")
def test_update_no_fields(self, backend):
backend.create_structured_memory("m1", "k", "d", "general", "global", "", "data")
assert not backend.update_structured_memory("m1", bogus="val")
def test_update_bumps_timestamp(self, backend):
backend.create_structured_memory("m1", "k", "d", "general", "global", "", "data")
old = backend.get_structured_memory("m1")["updated"]
import time
time.sleep(0.01)
backend.update_structured_memory("m1", content="new")
new = backend.get_structured_memory("m1")["updated"]
assert new >= old
class TestDelete:
def test_delete_existing(self, backend):
backend.create_structured_memory("m1", "k", "d", "general", "global", "", "data")
assert backend.delete_structured_memory("k", "global", "")
assert backend.get_structured_memory("m1") is None
def test_delete_nonexistent(self, backend):
assert not backend.delete_structured_memory("nope", "global", "")
def test_delete_scoped(self, backend):
backend.create_structured_memory("m1", "k", "d", "general", "workstream", "ws1", "data")
assert not backend.delete_structured_memory("k", "global", "")
assert backend.delete_structured_memory("k", "workstream", "ws1")
class TestList:
def test_list_all(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "1")
backend.create_structured_memory("m2", "b", "", "user", "global", "", "2")
mems = backend.list_structured_memories()
assert len(mems) == 2
def test_list_by_type(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "1")
backend.create_structured_memory("m2", "b", "", "user", "global", "", "2")
mems = backend.list_structured_memories(mem_type="user")
assert len(mems) == 1
assert mems[0]["name"] == "b"
def test_list_by_scope(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "1")
backend.create_structured_memory("m2", "b", "", "general", "workstream", "ws1", "2")
mems = backend.list_structured_memories(scope="workstream")
assert len(mems) == 1
def test_list_respects_limit(self, backend):
for i in range(10):
backend.create_structured_memory(f"m{i}", f"k{i}", "", "general", "global", "", f"{i}")
mems = backend.list_structured_memories(limit=3)
assert len(mems) == 3
class TestSearch:
def test_search_by_name(self, backend):
backend.create_structured_memory("m1", "database_config", "", "general", "global", "", "pg")
backend.create_structured_memory("m2", "api_key", "", "general", "global", "", "secret")
results = backend.search_structured_memories("database")
assert len(results) == 1
assert results[0]["name"] == "database_config"
def test_search_by_content(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "postgresql host")
results = backend.search_structured_memories("postgresql")
assert len(results) == 1
def test_search_empty_lists_all(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "1")
backend.create_structured_memory("m2", "b", "", "general", "global", "", "2")
results = backend.search_structured_memories("")
assert len(results) == 2
class TestCount:
def test_count_all(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "1")
backend.create_structured_memory("m2", "b", "", "general", "global", "", "2")
assert backend.count_structured_memories() == 2
def test_count_by_scope(self, backend):
backend.create_structured_memory("m1", "a", "", "general", "global", "", "1")
backend.create_structured_memory("m2", "b", "", "general", "workstream", "ws1", "2")
assert backend.count_structured_memories(scope="global") == 1
assert backend.count_structured_memories(scope="workstream") == 1
class TestSearchOrOfTerms:
"""Verify that multi-word search uses OR-of-terms (any term matches → row included)."""
def test_single_matching_term_in_multi_word_query(self, backend):
"""Memory with content 'apple' found when query is 'apple banana cherry'."""
backend.create_structured_memory("m1", "apple_mem", "", "general", "global", "", "apple")
backend.create_structured_memory("m2", "other_mem", "", "general", "global", "", "grape")
results = backend.search_structured_memories("apple banana cherry")
names = {r["name"] for r in results}
assert "apple_mem" in names # matches "apple" — OR-of-terms keeps it
assert "other_mem" not in names # "grape" matches nothing in the query
def test_partial_overlap_across_memories(self, backend):
"""Each memory matches one of three terms; all three are returned."""
backend.create_structured_memory("m1", "alpha_doc", "", "general", "global", "", "alpha")
backend.create_structured_memory("m2", "beta_doc", "", "general", "global", "", "beta")
backend.create_structured_memory("m3", "gamma_doc", "", "general", "global", "", "gamma")
backend.create_structured_memory("m4", "unrelated", "", "general", "global", "", "delta")
results = backend.search_structured_memories("alpha beta gamma")
names = {r["name"] for r in results}
assert "alpha_doc" in names
assert "beta_doc" in names
assert "gamma_doc" in names
assert "unrelated" not in names # "delta" doesn't appear in the query
def test_scope_filter_preserved(self, backend):
"""OR-of-terms search still respects scope / scope_id filters."""
backend.create_structured_memory(
"m1", "ws1_note", "", "general", "workstream", "ws1", "info"
)
backend.create_structured_memory(
"m2", "ws2_note", "", "general", "workstream", "ws2", "info"
)
backend.create_structured_memory("m3", "global_note", "", "general", "global", "", "info")
results = backend.search_structured_memories("info", scope="workstream", scope_id="ws1")
names = {r["name"] for r in results}
assert "ws1_note" in names
assert "ws2_note" not in names
assert "global_note" not in names
def test_term_cap_normalizes_unbounded_query(self, backend):
"""A multi-KB query collapses to <= MAX terms (de-dupe + length filter)."""
backend.create_structured_memory("m1", "alpha_doc", "", "general", "global", "", "alpha")
backend.create_structured_memory(
"m2", "other_doc", "", "general", "global", "", "irrelevant"
)
# Build a noisy query: same word repeated, plus 1-char tokens that
# the normalizer drops, plus the actual signal "alpha".
noisy = " ".join(["x"] * 100 + ["alpha"] * 50)
results = backend.search_structured_memories(noisy)
names = {r["name"] for r in results}
assert "alpha_doc" in names
class TestVisibleStructuredMemories:
"""Single-query union helpers used by the composition path."""
def test_list_visible_unions_global_workstream_user(self, backend):
backend.create_structured_memory("m1", "g_note", "", "general", "global", "", "g")
backend.create_structured_memory("m2", "ws_note", "", "general", "workstream", "ws1", "w")
backend.create_structured_memory("m3", "u_note", "", "general", "user", "u1", "u")
backend.create_structured_memory("m4", "other_ws", "", "general", "workstream", "ws2", "x")
scopes = [("global", ""), ("workstream", "ws1"), ("user", "u1")]
rows = backend.list_visible_structured_memories(scopes)
names = {r["name"] for r in rows}
assert names == {"g_note", "ws_note", "u_note"} # ws2 excluded
def test_search_visible_unions_scopes_and_terms(self, backend):
backend.create_structured_memory("m1", "g_alpha", "", "general", "global", "", "alpha")
backend.create_structured_memory(
"m2", "ws_beta", "", "general", "workstream", "ws1", "beta"
)
backend.create_structured_memory(
"m3", "ws_other", "", "general", "workstream", "ws2", "alpha"
)
scopes = [("global", ""), ("workstream", "ws1")]
rows = backend.search_visible_structured_memories("alpha beta", scopes)
names = {r["name"] for r in rows}
assert "g_alpha" in names # global, matches "alpha"
assert "ws_beta" in names # ws1, matches "beta"
assert "ws_other" not in names # ws2 -> outside visibility
def test_visible_helpers_handle_empty_scopes(self, backend):
backend.create_structured_memory("m1", "anything", "", "general", "global", "", "x")
assert backend.list_visible_structured_memories([]) == []
assert backend.search_visible_structured_memories("x", []) == []
class TestStableOrderingOnTimestampTies:
"""When two memories share an `updated` timestamp, secondary sort on
memory_id keeps the order deterministic across calls.
`updated` is second-precision, and touch_structured_memories() can bump
a batch to identical timestamps — without a tie-breaker BM25 input
order shuffles run-to-run, busting the LLM-side prompt cache.
"""
def _seed_with_shared_timestamp(self, backend):
# Create three memories then force their `updated` columns equal —
# mirrors the real-world case where a touch_structured_memories
# batch lands them in the same second.
for mid in ("zebra_id", "apple_id", "mango_id"):
backend.create_structured_memory(
mid, f"name_{mid}", "", "general", "global", "", "shared content"
)
import sqlalchemy as sa
with backend._conn() as conn:
conn.execute(sa.text("UPDATE structured_memories SET updated = '2024-01-01T00:00:00'"))
conn.commit()
def test_list_stable_order_under_tied_updated(self, backend):
self._seed_with_shared_timestamp(backend)
first = [r["memory_id"] for r in backend.list_structured_memories()]
second = [r["memory_id"] for r in backend.list_structured_memories()]
# Deterministic across calls AND sorted by memory_id ASC for ties
assert first == second
assert first == ["apple_id", "mango_id", "zebra_id"]
def test_search_stable_order_under_tied_updated(self, backend):
self._seed_with_shared_timestamp(backend)
first = [r["memory_id"] for r in backend.search_structured_memories("shared")]
second = [r["memory_id"] for r in backend.search_structured_memories("shared")]
assert first == second
assert first == ["apple_id", "mango_id", "zebra_id"]
def test_visible_search_stable_order_under_tied_updated(self, backend):
self._seed_with_shared_timestamp(backend)
scopes = [("global", "")]
first = [
r["memory_id"] for r in backend.search_visible_structured_memories("shared", scopes)
]
second = [
r["memory_id"] for r in backend.search_visible_structured_memories("shared", scopes)
]
assert first == second
assert first == ["apple_id", "mango_id", "zebra_id"]