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mempalace/tests/conftest.py
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"""
conftest.py — Shared fixtures for MemPalace tests.
Provides isolated palace and knowledge graph instances so tests never
touch the user's real data or leak temp files on failure.
"""
import os
import shutil
import tempfile
import chromadb
import pytest
from mempalace.config import MempalaceConfig
from mempalace.knowledge_graph import KnowledgeGraph
@pytest.fixture
def tmp_dir():
"""Create and auto-cleanup a temporary directory."""
d = tempfile.mkdtemp(prefix="mempalace_test_")
yield d
shutil.rmtree(d, ignore_errors=True)
@pytest.fixture
def palace_path(tmp_dir):
"""Path to an empty palace directory inside tmp_dir."""
p = os.path.join(tmp_dir, "palace")
os.makedirs(p)
return p
@pytest.fixture
def config(tmp_dir, palace_path):
"""A MempalaceConfig pointing at the temp palace."""
cfg_dir = os.path.join(tmp_dir, "config")
os.makedirs(cfg_dir)
import json
with open(os.path.join(cfg_dir, "config.json"), "w") as f:
json.dump({"palace_path": palace_path}, f)
return MempalaceConfig(config_dir=cfg_dir)
@pytest.fixture
def collection(palace_path):
"""A ChromaDB collection pre-seeded in the temp palace."""
client = chromadb.PersistentClient(path=palace_path)
col = client.get_or_create_collection("mempalace_drawers")
return col
@pytest.fixture
def seeded_collection(collection):
"""Collection with a handful of representative drawers."""
collection.add(
ids=[
"drawer_proj_backend_aaa",
"drawer_proj_backend_bbb",
"drawer_proj_frontend_ccc",
"drawer_notes_planning_ddd",
],
documents=[
"The authentication module uses JWT tokens for session management. "
"Tokens expire after 24 hours. Refresh tokens are stored in HttpOnly cookies.",
"Database migrations are handled by Alembic. We use PostgreSQL 15 "
"with connection pooling via pgbouncer.",
"The React frontend uses TanStack Query for server state management. "
"All API calls go through a centralized fetch wrapper.",
"Sprint planning: migrate auth to passkeys by Q3. "
"Evaluate ChromaDB alternatives for vector search.",
],
metadatas=[
{"wing": "project", "room": "backend", "source_file": "auth.py", "chunk_index": 0, "added_by": "miner", "filed_at": "2026-01-01T00:00:00"},
{"wing": "project", "room": "backend", "source_file": "db.py", "chunk_index": 0, "added_by": "miner", "filed_at": "2026-01-02T00:00:00"},
{"wing": "project", "room": "frontend", "source_file": "App.tsx", "chunk_index": 0, "added_by": "miner", "filed_at": "2026-01-03T00:00:00"},
{"wing": "notes", "room": "planning", "source_file": "sprint.md", "chunk_index": 0, "added_by": "miner", "filed_at": "2026-01-04T00:00:00"},
],
)
return collection
@pytest.fixture
def kg(tmp_dir):
"""An isolated KnowledgeGraph using a temp SQLite file."""
db_path = os.path.join(tmp_dir, "test_kg.sqlite3")
return KnowledgeGraph(db_path=db_path)
@pytest.fixture
def seeded_kg(kg):
"""KnowledgeGraph pre-loaded with sample triples."""
kg.add_entity("Alice", entity_type="person")
kg.add_entity("Max", entity_type="person")
kg.add_entity("swimming", entity_type="activity")
kg.add_entity("chess", entity_type="activity")
kg.add_triple("Alice", "parent_of", "Max", valid_from="2015-04-01")
kg.add_triple("Max", "does", "swimming", valid_from="2025-01-01")
kg.add_triple("Max", "does", "chess", valid_from="2024-06-01")
kg.add_triple("Alice", "works_at", "Acme Corp", valid_from="2020-01-01", valid_to="2024-12-31")
kg.add_triple("Alice", "works_at", "NewCo", valid_from="2025-01-01")
return kg