File size: 1,682 Bytes
8ec915d 1d6826f 8ec915d 1d6826f | 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 | from __future__ import annotations
from pathlib import Path
import inference
import pandas as pd
from server import replay_assets
def test_resolve_data_path_finds_lookup_table() -> None:
path = replay_assets.resolve_data_path("lookup_tables/latency_table.parquet")
assert path.exists()
assert path.name in {"latency_table.parquet", "serving_profile_table.parquet"}
def test_main_returns_zero_when_env_init_fails(monkeypatch, capsys) -> None:
class BrokenEnv:
def __init__(self, *args, **kwargs) -> None:
raise RuntimeError("simulator bootstrap failed")
monkeypatch.setattr(inference, "LLMServeEnvironment", BrokenEnv)
monkeypatch.setattr(inference, "_create_client", lambda: None)
rc = inference.main()
output = capsys.readouterr().out
assert rc == 0
assert output.count("[START]") == len(inference.TASKS)
assert output.count("[END]") == len(inference.TASKS)
assert "simulator bootstrap failed" in output
def test_fallback_assets_work_when_parquet_loading_breaks(monkeypatch) -> None:
def _boom(*args, **kwargs):
raise RuntimeError("parquet unavailable")
monkeypatch.setattr(pd, "read_parquet", _boom)
replay_assets.load_lookup_table.cache_clear()
replay_assets.load_trace_table.cache_clear()
replay_assets.load_prompt_samples.cache_clear()
lookup = replay_assets.load_lookup_table("lookup_tables/latency_table.parquet")
trace = replay_assets.load_trace_table("traces/static_workload_trace.parquet")
prompts = replay_assets.load_prompt_samples("traces/sharegpt_prompt_lengths.parquet")
assert not lookup.empty
assert not trace.empty
assert prompts
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