L3 3.0: config (disks + rank->disk mapping + PLP gate)
CpL3Config (TOML/JSON): per-machine L3 disks (paths + budgets), backend, shared index location/size, and the rank->disk mapping. disk_for_rank balances M CP ranks over N disks (r % N; ranks share a disk gracefully — throughput is drive-count-bound) or honors an explicit map; fail-loud on length/range mismatch. probe_disk_plp: O_DIRECT write+fdatasync latency heuristic for the durability gate (non-PLP disk must fail loud when require_plp). No hardcoded paths. 11/11 unit tests. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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161
python/sglang/srt/mem_cache/cp_l3_config.py
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161
python/sglang/srt/mem_cache/cp_l3_config.py
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# Copyright 2023-2024 SGLang Team
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# Licensed under the Apache License, Version 2.0
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"""CP HiCache L3 — configuration (config-driven, no hardcoded disk paths).
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Per-machine config consumed by ``CpL3Store.from_config``: the L3 disks (paths + per-disk byte budgets), the
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**rank -> disk mapping** (M CP ranks >= N disks; ranks may share a disk — throughput is drive-count-bound, not
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rank-count-bound), the backend, the shared metadata-index location, and the **PLP durability gate** (L3
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durability rides on power-loss-protected NVMe + O_DIRECT, NOT on the fsync barrier doing a NAND flush — so a
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non-PLP disk is unsafe and must fail loud when ``require_plp`` is set).
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Loadable from TOML or JSON. Pure parse + mapping + validation here; the PLP probe touches the disk at runtime.
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"""
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from __future__ import annotations
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import json
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import os
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import time
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Optional, Tuple
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CP_L3_CONFIG_FAILFAST_PREFIX = "[CP_L3_CONFIG_FAILFAST]"
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CP_L3_VALID_BACKENDS = frozenset(("posix", "3fs"))
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_GIB = 1024 ** 3
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def _cfg_failfast(message: str) -> None:
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raise ValueError(f"{CP_L3_CONFIG_FAILFAST_PREFIX} {message}")
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@dataclass(frozen=True)
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class CpL3DiskConfig:
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path: str
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budget_bytes: int
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def __post_init__(self):
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if not self.path:
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_cfg_failfast("disk path must be non-empty")
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if self.budget_bytes <= 0:
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_cfg_failfast(f"disk budget must be positive; got {self.budget_bytes} for {self.path!r}")
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@dataclass(frozen=True)
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class CpL3Config:
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backend: str
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disks: Tuple[CpL3DiskConfig, ...]
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require_plp: bool
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index_map_bytes: int
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index_dir: str
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rank_disk_map: Optional[Tuple[int, ...]] # explicit per-rank disk index, or None == balanced round-robin
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def __post_init__(self):
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if self.backend not in CP_L3_VALID_BACKENDS:
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_cfg_failfast(f"unknown backend {self.backend!r}; valid: {sorted(CP_L3_VALID_BACKENDS)}")
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if not self.disks:
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_cfg_failfast("at least one L3 disk is required")
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if self.index_map_bytes <= 0:
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_cfg_failfast(f"index_map_bytes must be positive; got {self.index_map_bytes}")
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if not self.index_dir:
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_cfg_failfast("index_dir must be non-empty")
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# ---- rank -> disk mapping (balanced round-robin unless explicit) ----
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def disk_for_rank(self, cp_rank: int, cp_size: int) -> int:
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self.validate(cp_size)
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if cp_rank < 0 or cp_rank >= cp_size:
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_cfg_failfast(f"cp_rank {cp_rank} out of range [0,{cp_size})")
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if self.rank_disk_map is not None:
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return int(self.rank_disk_map[cp_rank])
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# balanced: rank r -> disk r % N; each disk gets floor/ceil(cp_size/N) ranks (graceful sharing)
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return cp_rank % len(self.disks)
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def validate(self, cp_size: int) -> None:
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if cp_size <= 0:
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_cfg_failfast(f"cp_size must be positive; got {cp_size}")
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if self.rank_disk_map is not None:
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if len(self.rank_disk_map) != cp_size:
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_cfg_failfast(
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f"rank_disk_map length {len(self.rank_disk_map)} != cp_size {cp_size}"
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)
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for r, d in enumerate(self.rank_disk_map):
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if d < 0 or d >= len(self.disks):
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_cfg_failfast(f"rank_disk_map[{r}]={d} out of range [0,{len(self.disks)})")
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@classmethod
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def from_dict(cls, d: dict) -> "CpL3Config":
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cfg = dict(d.get("cp_l3", d)) # accept either {cp_l3:{...}} or the inner dict
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disks_raw = cfg.get("disks")
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if not disks_raw:
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_cfg_failfast("config has no 'disks'")
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disks = tuple(
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CpL3DiskConfig(path=str(x["path"]), budget_bytes=int(round(float(x["budget_gb"]) * _GIB)))
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for x in disks_raw
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)
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rdm = cfg.get("rank_disk_map", "balanced")
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if isinstance(rdm, str):
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if rdm != "balanced":
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_cfg_failfast(f"rank_disk_map string must be 'balanced'; got {rdm!r}")
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rank_disk_map = None
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else:
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rank_disk_map = tuple(int(x) for x in rdm)
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index_dir = str(cfg.get("index_dir") or os.path.join(disks[0].path, "l3_index"))
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return cls(
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backend=str(cfg.get("backend", "posix")),
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disks=disks,
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require_plp=bool(cfg.get("require_plp", True)),
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index_map_bytes=int(round(float(cfg.get("index_map_gb", 16)) * _GIB)),
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index_dir=index_dir,
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rank_disk_map=rank_disk_map,
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)
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@classmethod
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def from_file(cls, path: str) -> "CpL3Config":
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p = Path(path)
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if not p.exists():
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_cfg_failfast(f"L3 config file not found: {path}")
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text = p.read_bytes()
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if p.suffix.lower() == ".json":
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return cls.from_dict(json.loads(text))
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import tomllib # py3.11+
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return cls.from_dict(tomllib.loads(text.decode("utf-8")))
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def probe_disk_plp(path: str, *, samples: int = 16, threshold_us: float = 200.0) -> Tuple[bool, float]:
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"""Best-effort PLP probe: O_DIRECT 4K write + fdatasync latency. PLP/datacenter NVMe acks the flush from
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non-volatile cache (~sub-100us; we measured ~89 ns on the Dell DC NVMe 7500); a consumer drive without PLP
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pays a real NAND flush (ms). Returns (is_plp_like, median_fdatasync_us). Heuristic — the caller fails loud
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when ``require_plp`` and this is False.
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"""
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os.makedirs(path, exist_ok=True)
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probe = os.path.join(path, f".cp_l3_plp_probe.{os.getpid()}")
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buf = None
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fd = -1
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lat = []
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try:
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try:
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fd = os.open(probe, os.O_RDWR | os.O_CREAT | os.O_DIRECT, 0o600)
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except OSError:
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fd = os.open(probe, os.O_RDWR | os.O_CREAT, 0o600) # FS without O_DIRECT (e.g. tmpfs) -> buffered
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import mmap as _mmap
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buf = _mmap.mmap(-1, 4096) # page-aligned for O_DIRECT
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buf[:] = b"\xA5" * 4096
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for i in range(max(2, samples)):
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os.pwrite(fd, buf, (i % 64) * 4096)
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t0 = time.perf_counter()
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os.fdatasync(fd)
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lat.append((time.perf_counter() - t0) * 1e6)
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lat.sort()
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median = lat[len(lat) // 2]
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return (median <= threshold_us, median)
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finally:
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if buf is not None:
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buf.close()
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if fd >= 0:
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os.close(fd)
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try:
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os.unlink(probe)
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except OSError:
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pass
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103
test/registered/unit/mem_cache/test_cp_l3_config.py
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103
test/registered/unit/mem_cache/test_cp_l3_config.py
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"""Unit tests for CP HiCache L3 config (cp_l3_config): parse, rank->disk mapping, validation, PLP probe."""
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import importlib.util
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import os
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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from unittest.mock import patch
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_REPO_ROOT = Path(__file__).resolve().parents[4]
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def _load(name, rel):
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module_name = f"_test_{name}_module"
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spec = importlib.util.spec_from_file_location(module_name, _REPO_ROOT / rel)
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module = importlib.util.module_from_spec(spec)
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with patch.dict(sys.modules, {module_name: module}):
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spec.loader.exec_module(module)
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return module
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m = _load("cp_l3_config", "python/sglang/srt/mem_cache/cp_l3_config.py")
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_GIB = 1024 ** 3
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def _cfg(**over):
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d = {
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"backend": "posix",
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"disks": [{"path": "/cache/l3", "budget_gb": 2000}, {"path": "/mnt/nvme3/l3", "budget_gb": 1000}],
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"require_plp": True,
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"index_map_gb": 16,
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}
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d.update(over)
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return m.CpL3Config.from_dict(d)
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class TestConfigParse(unittest.TestCase):
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def test_from_dict_basic(self):
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c = _cfg()
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self.assertEqual(c.backend, "posix")
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self.assertEqual(len(c.disks), 2)
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self.assertEqual(c.disks[0].budget_bytes, 2000 * _GIB)
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self.assertTrue(c.require_plp)
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self.assertEqual(c.index_map_bytes, 16 * _GIB)
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self.assertEqual(c.index_dir, "/cache/l3/l3_index") # default = first disk
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self.assertIsNone(c.rank_disk_map)
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def test_accepts_cp_l3_wrapper(self):
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c = m.CpL3Config.from_dict({"cp_l3": {"disks": [{"path": "/d", "budget_gb": 1}]}})
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self.assertEqual(len(c.disks), 1)
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def test_balanced_mapping_8ranks_4disks(self):
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c = _cfg(disks=[{"path": f"/d{i}", "budget_gb": 1} for i in range(4)])
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got = [c.disk_for_rank(r, 8) for r in range(8)]
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self.assertEqual(got, [0, 1, 2, 3, 0, 1, 2, 3]) # 2 ranks/disk, balanced
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def test_balanced_8ranks_3disks_graceful(self):
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c = _cfg(disks=[{"path": f"/d{i}", "budget_gb": 1} for i in range(3)])
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got = [c.disk_for_rank(r, 8) for r in range(8)]
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self.assertEqual(got, [0, 1, 2, 0, 1, 2, 0, 1]) # ranks share disks gracefully
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def test_explicit_rank_disk_map(self):
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c = _cfg(disks=[{"path": "/a", "budget_gb": 1}, {"path": "/b", "budget_gb": 1}],
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rank_disk_map=[0, 0, 1, 1])
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self.assertEqual([c.disk_for_rank(r, 4) for r in range(4)], [0, 0, 1, 1])
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def test_explicit_map_wrong_length_fails(self):
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c = _cfg(rank_disk_map=[0, 1])
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with self.assertRaises(ValueError):
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c.disk_for_rank(0, 8) # map len 2 != cp_size 8
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def test_explicit_map_oob_fails(self):
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with self.assertRaises(ValueError):
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_cfg(disks=[{"path": "/a", "budget_gb": 1}], rank_disk_map=[0, 5]).disk_for_rank(0, 2)
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def test_empty_disks_fails(self):
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with self.assertRaises(ValueError):
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m.CpL3Config.from_dict({"disks": []})
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def test_bad_backend_fails(self):
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with self.assertRaises(ValueError):
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_cfg(backend="leveldb")
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def test_from_file_json(self):
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with tempfile.TemporaryDirectory() as td:
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p = os.path.join(td, "l3.json")
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Path(p).write_text('{"cp_l3": {"disks": [{"path": "/x", "budget_gb": 5}], "index_map_gb": 8}}')
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c = m.CpL3Config.from_file(p)
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self.assertEqual(c.disks[0].budget_bytes, 5 * _GIB)
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self.assertEqual(c.index_map_bytes, 8 * _GIB)
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class TestPlpProbe(unittest.TestCase):
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def test_probe_returns_bool_and_latency(self):
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with tempfile.TemporaryDirectory() as td:
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is_plp, median_us = m.probe_disk_plp(td, samples=4)
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self.assertIsInstance(is_plp, bool)
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self.assertGreater(median_us, 0.0)
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if __name__ == "__main__":
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unittest.main()
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