Files
interactive-story/backend/tests/test_turn_flow_integration.py
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parththakkar106andClaude Opus 5 a408c7b6f7 Lay the prompt out so the endpoint can cache most of it
Prompt caching bills on a shared prefix: the endpoint reuses the request up
to the first byte that differs from last time and no further. The live
world-state block sat third from the top of the system message, so every turn
re-priced the instructions, the plot essentials and the whole story history
underneath it. The retrieved memories and the rewritten summary did it again.

Everything fixed is emitted first now, and everything that moves goes after
the history, ordered least-volatile first — which is also where recency serves
it best, the reasoning that already put the emit reminder last. The three tail
sections that are last for their own reasons stay last. The moved sections are
still charged to the token budget; only their position changed.

Two smaller halves of the same problem. OpenRouter serves a model from
whichever upstream is free and each upstream holds its own cache, so a
deepseek model now names deepseek as its preferred upstream — a preference,
not a restriction, so a turn still runs if that upstream is down. And the
endpoint's usage block is read back off the response and kept per attempt, so
the hit rate shows up in Insights and the debug log instead of being assumed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DfMCsN1KBLsTqMkj5hSgrY
2026-08-23 06:31:30 +05:30

138 lines
4.3 KiB
Python

"""End-to-end HTTP tests for undo/retry state revert, driving real turns through
the actual routes + scripting engine with only the LLM provider mocked.
A script's output hook adds 10 gold each turn; we assert the shared scoreboard
behaves correctly across play / undo / retry.
python -m pytest tests/test_turn_flow_integration.py -v
"""
import os
import tempfile
_tmp = tempfile.NamedTemporaryFile(suffix=".db", delete=False)
_tmp.close()
os.environ["AIDND_DB_PATH"] = _tmp.name
os.environ.pop("AIDND_DATABASE_URL", None)
os.environ.pop("DATABASE_URL", None)
import pytest
from fastapi import Depends
from fastapi.testclient import TestClient
from app import auth, limits, models
from app.database import Base, SessionLocal, engine, get_db
from app.main import app
from app.providers import PromptParts
from app.routers import adventures
GOLD_SCRIPT = """
const modifier = (text) => {
state.gold = (state.gold || 0) + 10;
return { text };
};
modifier(text);
"""
class FakeProvider:
"""Stand-in for OpenAICompatibleProvider: streams one fixed line, no network."""
last_usage = None
def __init__(self, *a, **k):
pass
async def generate(self, parts: PromptParts, *, temperature, max_tokens):
yield ("text", "The torch flickers as you press onward.")
@pytest.fixture()
def client(monkeypatch):
Base.metadata.create_all(bind=engine)
setup = SessionLocal()
user = models.User(is_guest=False, email="tester@example.com")
setup.add(user)
setup.flush()
setup.add(models.Settings(user_id=user.id, api_key="enc:dummy", model="test-model"))
adv = models.Adventure(user_id=user.id, title="Cave", script_state={})
setup.add(adv)
setup.flush()
setup.add(models.Action(adventure_id=adv.id, index=0, type="start", text="You enter a cave."))
setup.add(models.AdventureScript(
adventure_id=adv.id, position=0, enabled=True, name="Gold",
output_js=GOLD_SCRIPT,
))
setup.commit()
adv_id, user_id = adv.id, user.id
setup.close()
# Force a real (non-demo) turn that uses our fake provider.
monkeypatch.setattr(adventures, "OpenAICompatibleProvider", FakeProvider)
monkeypatch.setattr(auth, "resolve_provider_config", lambda s: auth.ProviderConfig(
"http://fake", "k", "test-model", False))
monkeypatch.setattr(limits, "rate_limit", lambda *a, **k: None)
monkeypatch.setattr(limits, "check_row_cap", lambda *a, **k: None)
def _current_user(db=Depends(get_db)):
return db.get(models.User, user_id)
app.dependency_overrides[auth.get_current_user] = _current_user
c = TestClient(app)
c.adv_id = adv_id
try:
yield c
finally:
app.dependency_overrides.clear()
adventures._active_turns.clear()
Base.metadata.drop_all(bind=engine)
def _state(adv_id):
db = SessionLocal()
try:
return db.get(models.Adventure, adv_id).script_state
finally:
db.close()
def _play(client, type_="do", text="look around"):
r = client.post(f"/api/adventures/{client.adv_id}/actions", json={"type": type_, "text": text})
assert r.status_code == 200, r.text
return r
def test_play_then_undo_reverts_gold(client):
assert _state(client.adv_id) == {}
_play(client)
assert _state(client.adv_id) == {"gold": 10}
r = client.post(f"/api/adventures/{client.adv_id}/undo")
assert r.status_code == 200, r.text
assert _state(client.adv_id) == {} # scoreboard rolled back
def test_two_turns_then_undo_reverts_only_last(client):
_play(client)
_play(client)
assert _state(client.adv_id) == {"gold": 20}
client.post(f"/api/adventures/{client.adv_id}/undo")
assert _state(client.adv_id) == {"gold": 10} # back to after turn 1, not 0
def test_retry_does_not_double_apply_gold(client):
_play(client)
assert _state(client.adv_id) == {"gold": 10}
# Before the fix this produced 20 (output hook ran twice); now it stays 10.
r = client.post(f"/api/adventures/{client.adv_id}/retry")
assert r.status_code == 200, r.text
assert _state(client.adv_id) == {"gold": 10}
def test_retry_then_undo_still_clean(client):
_play(client)
client.post(f"/api/adventures/{client.adv_id}/retry")
assert _state(client.adv_id) == {"gold": 10}
client.post(f"/api/adventures/{client.adv_id}/undo")
assert _state(client.adv_id) == {}