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feat(api): align routine context windows with recent skin history

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This commit is contained in:
Piotr Oleszczyk 2026-03-08 11:53:59 +01:00
parent 1c457d62a3
commit fecfa0b9e4
3 changed files with 273 additions and 71 deletions
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42
backend/tests/test_routines.py
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@ -1,6 +1,10 @@
import uuid
from datetime import date
from unittest.mock import patch
from innercontext.models import Routine, SkinConditionSnapshot
from innercontext.models.enums import BarrierState, OverallSkinState
# ---------------------------------------------------------------------------
# Routines
# ---------------------------------------------------------------------------
@ -223,6 +227,18 @@ def test_suggest_routine(client, session):
with patch(
"innercontext.api.routines.call_gemini_with_function_tools"
) as mock_gemini:
session.add(
SkinConditionSnapshot(
id=uuid.uuid4(),
snapshot_date=date(2026, 2, 22),
overall_state=OverallSkinState.GOOD,
hydration_level=4,
barrier_state=BarrierState.INTACT,
priorities=["hydration"],
)
)
session.commit()
# Mock the Gemini response
mock_response = type(
"Response",
@ -231,7 +247,7 @@ def test_suggest_routine(client, session):
"text": '{"steps": [{"product_id": null, "action_type": "shaving_razor"}], "reasoning": "because"}'
},
)
mock_gemini.return_value = mock_response
mock_gemini.return_value = (mock_response, None)
r = client.post(
"/routines/suggest",
@ -250,12 +266,32 @@ def test_suggest_routine(client, session):
kwargs = mock_gemini.call_args.kwargs
assert "USER PROFILE:" in kwargs["contents"]
assert "UPCOMING GROOMING (next 7 days):" in kwargs["contents"]
assert "snapshot from 2026-02-22" in kwargs["contents"]
assert "RECENT ROUTINES: none" in kwargs["contents"]
assert "function_handlers" in kwargs
assert "get_product_details" in kwargs["function_handlers"]
def test_suggest_batch(client, session):
with patch("innercontext.api.routines.call_gemini") as mock_gemini:
session.add(
Routine(
id=uuid.uuid4(),
routine_date=date(2026, 2, 27),
part_of_day="pm",
)
)
session.add(
SkinConditionSnapshot(
id=uuid.uuid4(),
snapshot_date=date(2026, 2, 20),
overall_state=OverallSkinState.GOOD,
hydration_level=4,
barrier_state=BarrierState.INTACT,
)
)
session.commit()
# Mock the Gemini response
mock_response = type(
"Response",
@ -264,7 +300,7 @@ def test_suggest_batch(client, session):
"text": '{"days": [{"date": "2026-03-03", "am_steps": [], "pm_steps": [], "reasoning": "none"}], "overall_reasoning": "batch test"}'
},
)
mock_gemini.return_value = mock_response
mock_gemini.return_value = (mock_response, None)
r = client.post(
"/routines/suggest-batch",
@ -281,6 +317,8 @@ def test_suggest_batch(client, session):
assert data["overall_reasoning"] == "batch test"
kwargs = mock_gemini.call_args.kwargs
assert "USER PROFILE:" in kwargs["contents"]
assert "2026-02-27 PM:" in kwargs["contents"]
assert "snapshot from 2026-02-20" in kwargs["contents"]
def test_suggest_batch_invalid_date_range(client):