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chore: import upstream snapshot with attribution
2026-07-13 13:33:44 +08:00

38 lines
1.2 KiB
Python

"""Per-workspace rate limit: a secondary guard behind the credit meter-gate (05)."""
import pytest
from fastapi import HTTPException
from starlette.requests import Request
from app.capabilities.core.access import rate_limit
def _request(workspace_id: int) -> Request:
return Request({"type": "http", "path_params": {"workspace_id": workspace_id}})
@pytest.mark.asyncio
async def test_passes_at_the_limit(monkeypatch):
monkeypatch.setattr(
rate_limit, "_incr", lambda *a, **k: rate_limit.CAPABILITY_RATE_LIMIT_PER_MINUTE
)
await rate_limit.enforce_capability_rate_limit(_request(1))
@pytest.mark.asyncio
async def test_blocks_over_the_limit(monkeypatch):
monkeypatch.setattr(
rate_limit,
"_incr",
lambda *a, **k: rate_limit.CAPABILITY_RATE_LIMIT_PER_MINUTE + 1,
)
with pytest.raises(HTTPException) as exc:
await rate_limit.enforce_capability_rate_limit(_request(1))
assert exc.value.status_code == 429
def test_memory_fallback_counts_within_window():
rate_limit._memory.clear()
assert rate_limit._incr_memory("k", window_seconds=60) == 1
assert rate_limit._incr_memory("k", window_seconds=60) == 2