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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

127 lines
3.9 KiB
Python

from __future__ import annotations
import sys
from dataclasses import dataclass
from headroom.ccr.batch_store import (
BatchContext,
BatchContextStore,
BatchRequestContext,
get_batch_context_store,
reset_batch_context_store,
)
def test_batch_context_defaults_and_expiry(monkeypatch) -> None:
monkeypatch.setattr("headroom.ccr.batch_store.time.time", lambda: 100.0)
context = BatchContext(batch_id="batch-1", provider="anthropic", created_at=100.0)
assert context.expires_at == 100.0 + 86400
assert context.is_expired is False
request = BatchRequestContext(
custom_id="req-1",
messages=[{"role": "user", "content": "hello"}],
tools=[{"name": "tool"}],
model="gpt-4o",
system_instruction="system",
extras={"x": 1},
)
context.add_request(request)
assert context.get_request("req-1") is request
assert context.get_request("missing") is None
monkeypatch.setattr("headroom.ccr.batch_store.time.time", lambda: context.expires_at + 1)
assert context.is_expired is True
async def test_batch_context_store_core_operations(monkeypatch) -> None:
now = {"value": 100.0}
monkeypatch.setattr("headroom.ccr.batch_store.time.time", lambda: now["value"])
store = BatchContextStore(ttl=10, max_contexts=2)
first = BatchContext(batch_id="b1", provider="anthropic")
second = BatchContext(batch_id="b2", provider="google")
third = BatchContext(batch_id="b3", provider="openai")
await store.store(first)
now["value"] = 101.0
await store.store(second)
assert (await store.get("b1")) is first
now["value"] = 102.0
await store.store(third)
assert await store.get("b1") is None
assert await store.get("b2") is second
assert await store.get("b3") is third
assert await store.remove("b2") is True
assert await store.remove("b2") is False
async def test_batch_context_store_cleanup_stats_and_memory_stats(monkeypatch) -> None:
now = {"value": 200.0}
monkeypatch.setattr("headroom.ccr.batch_store.time.time", lambda: now["value"])
store = BatchContextStore(ttl=5, max_contexts=10)
first = BatchContext(batch_id="b1", provider="anthropic")
first.add_request(
BatchRequestContext(custom_id="r1", messages=[{"content": "alpha"}], tools=[])
)
second = BatchContext(batch_id="b2", provider="google")
second.add_request(
BatchRequestContext(custom_id="r2", messages=[{"content": ["nested"]}], tools=[{}])
)
await store.store(first)
await store.store(second)
assert await store.stats() == {
"total_contexts": 2,
"max_contexts": 10,
"ttl_seconds": 5,
"providers": {"anthropic": 1, "google": 1},
}
now["value"] = 210.0
assert await store.cleanup_expired() == 2
assert (await store.stats())["total_contexts"] == 0
@dataclass
class FakeComponentStats:
name: str
entry_count: int
size_bytes: int
budget_bytes: int | None
hits: int
misses: int
evictions: int
monkeypatch.setitem(
sys.modules,
"headroom.memory.tracker",
type("TrackerModule", (), {"ComponentStats": FakeComponentStats}),
)
now["value"] = 220.0
third = BatchContext(batch_id="b3", provider="openai")
third.add_request(
BatchRequestContext(
custom_id="r3", messages=[{"content": "payload"}], tools=[{"name": "t"}]
)
)
await store.store(third)
stats = store.get_memory_stats()
assert stats.name == "batch_context_store"
assert stats.entry_count == 1
assert stats.size_bytes > 0
def test_global_batch_context_store_reset() -> None:
reset_batch_context_store()
store_one = get_batch_context_store()
store_two = get_batch_context_store()
assert store_one is store_two
reset_batch_context_store()
store_three = get_batch_context_store()
assert store_three is not store_one