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Running on Zero
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b701455 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | import pytest
import server
from src.FileManaging import ImageSaver
@pytest.mark.asyncio
async def test_large_coalesced_batch_1024(monkeypatch):
# Set small chunk limit to force many chunks
server.LD_MAX_IMAGES_PER_GROUP = 32
async def immediate_to_thread(func, /, *args, **kwargs):
return func(*args, **kwargs)
monkeypatch.setattr(server.asyncio, "to_thread", immediate_to_thread)
def fake_pipeline(**kwargs):
per_sample_info = kwargs.get("per_sample_info", [])
results = {}
for info in per_sample_info:
rid = info["request_id"]
filename = f"{rid}_{len(results.get(rid, []))}_img.png"
ImageSaver.store_image_bytes(f"LD-REQ-{rid}", filename, "Classic", b"PNGDATA")
results.setdefault(rid, []).append({"filename": filename, "subfolder": "Classic"})
return {"batched_results": results}
monkeypatch.setattr(server, "pipeline", fake_pipeline)
items = []
# 64 requests, each asking for 16 images = 1024 total
for i in range(64):
req = server.GenerateRequest(prompt=f"p{i}", num_images=16)
pr = server.PendingRequest(req, request_id=f"r{i:04d}")
items.append(pr)
buf = server.GenerationBuffer()
await buf._process_group(items)
# All completed
for p in items:
assert p.future.done()
res = p.future.result()
assert isinstance(res, dict)
assert "images" in res and len(res["images"]) == 16
# Buffer emptied for all
for i in range(64):
assert ImageSaver.pop_image_bytes(f"LD-REQ-r{i:04d}") == []
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