fleet-memory/hindsight-api/tests/test_reflections.py
Nicolò Boschi 5b52a84fff
chore: internal renames (#204)
This commit renames the terminology across the entire codebase:
- "mental models" (fact_type='mental_model' in memory_units) → "observations"
- "reflections" table (stored reflect responses) → "mental_models"

Changes include:
- Database migration to rename tables, indexes, and constraints
- API endpoints: /reflections → /mental-models, /mental-models → /observations
- Config: ENABLE_MENTAL_MODELS → ENABLE_OBSERVATIONS
- Response models and Pydantic classes
- Reflect agent tools and prompts
- Control plane UI and routes
- Documentation and examples
- Regenerated OpenAPI spec and client SDKs (Python, TypeScript)
- Rust CLI: reflection commands → mental-model commands
- LiteLLM: updated fact_types documentation
2026-01-27 09:53:28 +01:00

359 lines
13 KiB
Python

"""Tests for mental models (formerly reflections), observations, and learnings functionality."""
import uuid
import pytest
import pytest_asyncio
import httpx
from hindsight_api.api import create_app
from hindsight_api.engine.memory_engine import MemoryEngine
@pytest_asyncio.fixture
async def api_client(memory):
"""Create an async test client for the FastAPI app."""
app = create_app(memory, initialize_memory=False)
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
yield client
@pytest.fixture
def test_bank_id():
"""Provide a unique bank ID for this test run."""
return f"test_mental_models_{uuid.uuid4().hex[:8]}"
class TestMentalModelsCRUD:
"""Test mental models CRUD operations via memory engine."""
@pytest.mark.asyncio
async def test_create_and_get_mental_model(self, memory: MemoryEngine, request_context):
"""Test creating and retrieving a mental model."""
bank_id = f"test-mental-model-{uuid.uuid4().hex[:8]}"
# Create the bank first
await memory.get_bank_profile(bank_id=bank_id, request_context=request_context)
# Create a mental model
mental_model = await memory.create_mental_model(
bank_id=bank_id,
name="Team Preferences",
source_query="What are the team's communication preferences?",
content="The team prefers async communication via Slack",
tags=["team"],
request_context=request_context,
)
assert mental_model["name"] == "Team Preferences"
assert mental_model["source_query"] == "What are the team's communication preferences?"
assert mental_model["content"] == "The team prefers async communication via Slack"
assert mental_model["tags"] == ["team"]
assert "id" in mental_model
# Get the mental model
fetched = await memory.get_mental_model(
bank_id=bank_id,
mental_model_id=mental_model["id"],
request_context=request_context,
)
assert fetched["id"] == mental_model["id"]
assert fetched["name"] == "Team Preferences"
# Cleanup
await memory.delete_bank(bank_id, request_context=request_context)
@pytest.mark.asyncio
async def test_list_mental_models(self, memory: MemoryEngine, request_context):
"""Test listing mental models with filters."""
bank_id = f"test-mental-model-list-{uuid.uuid4().hex[:8]}"
# Create the bank first
await memory.get_bank_profile(bank_id=bank_id, request_context=request_context)
# Create multiple mental models
await memory.create_mental_model(
bank_id=bank_id,
name="Mental Model 1",
source_query="Query 1",
content="Content 1",
tags=["tag1"],
request_context=request_context,
)
await memory.create_mental_model(
bank_id=bank_id,
name="Mental Model 2",
source_query="Query 2",
content="Content 2",
tags=["tag2"],
request_context=request_context,
)
# List all
all_mental_models = await memory.list_mental_models(
bank_id=bank_id,
request_context=request_context,
)
assert len(all_mental_models) == 2
# List with tag filter
tag1_mental_models = await memory.list_mental_models(
bank_id=bank_id,
tags=["tag1"],
request_context=request_context,
)
assert len(tag1_mental_models) == 1
# Cleanup
await memory.delete_bank(bank_id, request_context=request_context)
@pytest.mark.asyncio
async def test_update_mental_model(self, memory: MemoryEngine, request_context):
"""Test updating a mental model."""
bank_id = f"test-mental-model-update-{uuid.uuid4().hex[:8]}"
# Create the bank first
await memory.get_bank_profile(bank_id=bank_id, request_context=request_context)
# Create a mental model
mental_model = await memory.create_mental_model(
bank_id=bank_id,
name="Original Name",
source_query="Original Query",
content="Original Content",
request_context=request_context,
)
# Update the mental model
updated = await memory.update_mental_model(
bank_id=bank_id,
mental_model_id=mental_model["id"],
name="Updated Name",
content="Updated Content",
request_context=request_context,
)
assert updated["name"] == "Updated Name"
assert updated["content"] == "Updated Content"
# Cleanup
await memory.delete_bank(bank_id, request_context=request_context)
@pytest.mark.asyncio
async def test_delete_mental_model(self, memory: MemoryEngine, request_context):
"""Test deleting a mental model."""
bank_id = f"test-mental-model-delete-{uuid.uuid4().hex[:8]}"
# Create the bank first
await memory.get_bank_profile(bank_id=bank_id, request_context=request_context)
# Create a mental model
mental_model = await memory.create_mental_model(
bank_id=bank_id,
name="To Delete",
source_query="Query",
content="Content",
request_context=request_context,
)
# Delete the mental model
await memory.delete_mental_model(
bank_id=bank_id,
mental_model_id=mental_model["id"],
request_context=request_context,
)
# Verify deletion - should return None
fetched = await memory.get_mental_model(
bank_id=bank_id,
mental_model_id=mental_model["id"],
request_context=request_context,
)
assert fetched is None
# Cleanup
await memory.delete_bank(bank_id, request_context=request_context)
class TestObservationsAPI:
"""Test observations API endpoints.
NOTE: Observations are now stored in memory_units with fact_type='observation'
and accessed via recall with fact_type=["observation"]. The old /observations
endpoint was removed. These tests are skipped.
"""
@pytest.mark.skip(reason="Observations endpoint removed - use recall with fact_type=['observation']")
@pytest.mark.asyncio
async def test_list_observations_empty(self, api_client, test_bank_id):
"""Test listing observations when none exist."""
pass
@pytest.mark.skip(reason="Observations endpoint removed - use recall with fact_type=['observation']")
@pytest.mark.asyncio
async def test_get_observation_not_found(self, api_client, test_bank_id):
"""Test getting a non-existent observation."""
pass
class TestMentalModelsAPI:
"""Test mental models API endpoints."""
@pytest.mark.asyncio
async def test_mental_models_api_crud(self, api_client, test_bank_id):
"""Test full CRUD cycle through API."""
import asyncio
# Create bank first via profile endpoint
await api_client.get(f"/v1/default/banks/{test_bank_id}/profile")
# Create a mental model (async operation)
response = await api_client.post(
f"/v1/default/banks/{test_bank_id}/mental-models",
json={
"name": "API Test Mental Model",
"source_query": "What is the API test about?",
"content": "This is an API test mental model",
"tags": ["api-test"],
},
)
assert response.status_code == 200
create_result = response.json()
assert "operation_id" in create_result
operation_id = create_result["operation_id"]
# Wait for the async operation to complete
for _ in range(30): # Wait up to 30 seconds
response = await api_client.get(f"/v1/default/banks/{test_bank_id}/operations/{operation_id}")
if response.status_code == 200:
op_status = response.json()
if op_status.get("status") == "completed":
break
await asyncio.sleep(1)
# List mental models to get the created mental model
response = await api_client.get(f"/v1/default/banks/{test_bank_id}/mental-models")
assert response.status_code == 200
mental_models = response.json()["items"]
assert len(mental_models) >= 1
# Find our mental model
mental_model = next((m for m in mental_models if m["name"] == "API Test Mental Model"), None)
assert mental_model is not None, f"Mental model not found. Items: {mental_models}"
mental_model_id = mental_model["id"]
# Get the mental model
response = await api_client.get(f"/v1/default/banks/{test_bank_id}/mental-models/{mental_model_id}")
assert response.status_code == 200
assert response.json()["name"] == "API Test Mental Model"
# Update the mental model
response = await api_client.patch(
f"/v1/default/banks/{test_bank_id}/mental-models/{mental_model_id}",
json={"name": "Updated API Test Mental Model"},
)
assert response.status_code == 200
assert response.json()["name"] == "Updated API Test Mental Model"
# Delete the mental model
response = await api_client.delete(f"/v1/default/banks/{test_bank_id}/mental-models/{mental_model_id}")
assert response.status_code == 200
# Verify deletion
response = await api_client.get(f"/v1/default/banks/{test_bank_id}/mental-models/{mental_model_id}")
assert response.status_code == 404
# Cleanup
await api_client.delete(f"/v1/default/banks/{test_bank_id}")
class TestRecallWithObservationsAndMentalModels:
"""Test recall integration with observations and mental models."""
@pytest.mark.asyncio
async def test_recall_includes_observations(self, api_client, test_bank_id):
"""Test that recall can include observations in the response."""
# Create bank first via profile endpoint
await api_client.get(f"/v1/default/banks/{test_bank_id}/profile")
# Note: Observations are auto-created via consolidation, not manually
# This test just verifies the include parameter works
# Recall with observations included
response = await api_client.post(
f"/v1/default/banks/{test_bank_id}/memories/recall",
json={
"query": "What is machine learning?",
"include": {
"observations": {"max_results": 5},
},
},
)
assert response.status_code == 200
result = response.json()
# Should have observations field in response (may be empty)
assert "observations" in result or result.get("observations") is None
# Cleanup
await api_client.delete(f"/v1/default/banks/{test_bank_id}")
@pytest.mark.asyncio
async def test_recall_includes_mental_models(self, api_client, test_bank_id):
"""Test that recall can include mental models in the response."""
# Create bank first via profile endpoint
await api_client.get(f"/v1/default/banks/{test_bank_id}/profile")
# Create a mental model first
response = await api_client.post(
f"/v1/default/banks/{test_bank_id}/mental-models",
json={
"name": "AI Overview",
"source_query": "What is AI?",
"content": "Artificial intelligence is the simulation of human intelligence",
"tags": [],
},
)
assert response.status_code == 200
# Recall with mental models included
response = await api_client.post(
f"/v1/default/banks/{test_bank_id}/memories/recall",
json={
"query": "What is artificial intelligence?",
"include": {
"mental_models": {"max_results": 5},
},
},
)
assert response.status_code == 200
result = response.json()
# Should have mental_models in response (may be empty if embedding not generated yet)
assert "mental_models" in result or result.get("mental_models") is None
# Cleanup
await api_client.delete(f"/v1/default/banks/{test_bank_id}")
@pytest.mark.asyncio
async def test_recall_without_observations_by_default(self, api_client, test_bank_id):
"""Test that recall does not include observations by default."""
# Create bank first via profile endpoint
await api_client.get(f"/v1/default/banks/{test_bank_id}/profile")
# Recall without specifying observations
response = await api_client.post(
f"/v1/default/banks/{test_bank_id}/memories/recall",
json={
"query": "Test query",
},
)
assert response.status_code == 200
result = response.json()
# Observations should not be in response
assert result.get("observations") is None
# Cleanup
await api_client.delete(f"/v1/default/banks/{test_bank_id}")