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Aether/tests/unit/test_usage_query.py

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from __future__ import annotations
from sqlalchemy import create_engine, select
from sqlalchemy.orm import Session
from src.models.database import Usage
from src.services.usage.query import input_context_expr
def _make_usage(
request_id: str,
api_format: str,
input_tokens: int,
cache_read_input_tokens: int,
) -> Usage:
return Usage(
request_id=request_id,
provider_name="provider-a",
model="test-model",
api_format=api_format,
input_tokens=input_tokens,
cache_read_input_tokens=cache_read_input_tokens,
)
def test_input_context_expr_always_uses_input_plus_cache_read() -> None:
engine = create_engine("sqlite:///:memory:")
Usage.__table__.create(engine)
with Session(engine) as session:
session.add_all(
[
_make_usage("openai-ok", "openai:chat", 100, 20),
_make_usage("gemini-ok", "gemini:chat", 80, 30),
_make_usage("claude-ok", "claude:chat", 100, 20),
]
)
session.commit()
rows = session.execute(
select(Usage.request_id, input_context_expr().label("ctx")).order_by(Usage.request_id)
).all()
assert {r[0]: r[1] for r in rows} == {
"claude-ok": 120,
"gemini-ok": 110,
"openai-ok": 120,
}
engine.dispose()
def test_input_context_expr_keeps_same_formula_for_anomalous_openai_compatible_usage() -> None:
engine = create_engine("sqlite:///:memory:")
Usage.__table__.create(engine)
with Session(engine) as session:
session.add(
_make_usage(
"openai-anomalous",
"openai:chat",
input_tokens=10,
cache_read_input_tokens=300,
)
)
session.commit()
total_input_context = session.execute(
select(input_context_expr()).where(Usage.request_id == "openai-anomalous")
).scalar_one()
assert total_input_context == 310
engine.dispose()