Studio: live model-load progress + rate/ETA on download and load (#5017)
* Studio: live model-load progress + rate/ETA on download and load Two UX fixes for the opaque multi-minute wait between clicking Load and being able to chat, visible most clearly on large MoE GGUFs like MiniMax-M2.7 (131 GB of weights on a 97 GB GPU): 1. **Model-load phase is now observable.** The existing chat flow transitions the toast to "Starting model..." as soon as the download hits 100%, then shows a spinner with no other feedback until llama-server reports healthy. For a 130 GB model that spinner freezes for five-plus minutes while the kernel pages shards into the page cache. A new `GET /api/inference/load-progress` endpoint samples `/proc/<pid>/status VmRSS` on the llama-server subprocess against the sum of shard file sizes on disk, so the UI can render a real bar plus rate / ETA during that window. 2. **Rate and ETA on downloads and loads.** Both the chat toast and the training-start overlay used to show a static pair of numbers (for example "15.4 of 140.8 GB"). A rolling 15-second window over the existing byte-series now surfaces "85.3 MB/s, 24m 23s left" beside that pair. The estimator is shared between the download and load phases so the numbers don't reset when the phase flips. Also fixes a pre-existing assignment bug uncovered while wiring this up: `load_model` was storing the caller's `gguf_path` kwarg into `self._gguf_path`, which is `None` on the HF-download code path. The resolved on-disk path (`model_path`) is what llama-server actually mmaps; downstream consumers need that. No existing reader used `_gguf_path`, so this is a correctness fix for the new endpoint. - Backend: `LlamaCppBackend.load_progress()`, `GET /api/inference/load-progress`, `LoadProgressResponse` Pydantic model. - Frontend: `useTransferStats` hook, `formatRate` / `formatEta` helpers, `getLoadProgress` client, rewired chat toast and `DownloadRow` in the training overlay. - Tests: `studio/backend/tests/test_llama_cpp_load_progress.py` covers empty states, mmap phase, ready phase, sharded total aggregation, missing gguf_path, and unreadable /proc (7 cases). `tsc -b` and `vite build` on the frontend both clean. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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studio/backend/tests/test_llama_cpp_load_progress.py
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studio/backend/tests/test_llama_cpp_load_progress.py
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# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""Tests for ``LlamaCppBackend.load_progress()``.
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The chat settings flow and the training overlay both show a generic
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"Starting model..." spinner during the window after a GGUF download
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finishes and before llama-server reports healthy. For small models
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that window is a second or two and nobody notices. For large MoE GGUFs
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(MiniMax-M2.7, Qwen3.5-397B-A17B, etc.) the llama-server process spends
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minutes in kernel state D, paging tens or hundreds of GB of shards
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into the page cache. The UI has no way to show a real progress bar,
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rate, or ETA during that window.
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``load_progress()`` samples ``/proc/<pid>/status VmRSS`` (what the
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kernel has actually paged in) against the total shard file size on
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disk, so the frontend can render a real bar plus rate/ETA. This
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module pins that contract:
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* returns ``None`` when no load is in flight
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* returns ``{"phase": "mmap", ...}`` while the subprocess is alive
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but ``_healthy`` is False
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* returns ``{"phase": "ready", ...}`` once ``_healthy`` flips
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* ``bytes_total`` is derived from the resolved on-disk path
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(which the paired fix assigns to ``self._gguf_path`` on both the
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local-GGUF and HF-download code paths)
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* ``bytes_loaded`` is VmRSS in bytes, capped by total, rounded
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* ``fraction`` is clamped to 0..1 and rounded to 4 decimal places
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Linux-only via ``/proc``. On platforms without ``/proc`` the method
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returns ``None`` instead of raising.
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Cross-platform test: skips cleanly on macOS / Windows if ``/proc`` is
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not available.
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"""
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from __future__ import annotations
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import os
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import sys
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import tempfile
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import types as _types
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from pathlib import Path
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from unittest.mock import patch
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import pytest
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# ---------------------------------------------------------------------------
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# Stub heavy / unavailable external dependencies before importing the
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# module under test. Same pattern as test_kv_cache_estimation.py.
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# ---------------------------------------------------------------------------
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_BACKEND_DIR = str(Path(__file__).resolve().parent.parent)
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if _BACKEND_DIR not in sys.path:
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sys.path.insert(0, _BACKEND_DIR)
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_loggers_stub = _types.ModuleType("loggers")
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_loggers_stub.get_logger = lambda name: __import__("logging").getLogger(name)
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sys.modules.setdefault("loggers", _loggers_stub)
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_structlog_stub = _types.ModuleType("structlog")
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sys.modules.setdefault("structlog", _structlog_stub)
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_httpx_stub = _types.ModuleType("httpx")
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for _exc_name in (
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"ConnectError",
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"TimeoutException",
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"ReadTimeout",
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"ReadError",
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"RemoteProtocolError",
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"CloseError",
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):
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setattr(_httpx_stub, _exc_name, type(_exc_name, (Exception,), {}))
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class _FakeTimeout:
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def __init__(self, *a, **kw):
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pass
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_httpx_stub.Timeout = _FakeTimeout
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_httpx_stub.Client = type(
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"Client",
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(),
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{
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"__init__": lambda self, **kw: None,
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"__enter__": lambda self: self,
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"__exit__": lambda self, *a: None,
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},
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)
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sys.modules.setdefault("httpx", _httpx_stub)
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from core.inference.llama_cpp import LlamaCppBackend
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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def _make_instance():
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inst = LlamaCppBackend.__new__(LlamaCppBackend)
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inst._process = None
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inst._gguf_path = None
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inst._healthy = False
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return inst
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class _FakeProc:
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"""Minimal stand-in for subprocess.Popen that just carries a pid."""
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def __init__(self, pid: int):
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self.pid = pid
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def _write_sparse_file(path: Path, size_bytes: int) -> None:
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"""Create a sparse file of the given size without allocating blocks."""
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with open(path, "wb") as fh:
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if size_bytes > 0:
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fh.truncate(size_bytes)
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# ---------------------------------------------------------------------------
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# Tests
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# ---------------------------------------------------------------------------
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class TestLoadProgressEmptyStates:
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def test_returns_none_when_no_process(self):
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inst = _make_instance()
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assert inst.load_progress() is None
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def test_returns_none_when_process_has_no_pid(self):
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inst = _make_instance()
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inst._process = _FakeProc(pid = None) # type: ignore[arg-type]
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assert inst.load_progress() is None
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class TestLoadProgressSingleShard:
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def test_mmap_phase_for_alive_but_unhealthy(self, tmp_path):
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"""VmRSS below total -> phase='mmap', fraction reflects progress."""
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gguf = tmp_path / "model.gguf"
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_write_sparse_file(gguf, 40 * 1024**3) # 40 GB
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inst = _make_instance()
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inst._process = _FakeProc(pid = os.getpid()) # use our own pid
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inst._gguf_path = str(gguf)
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inst._healthy = False
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# Patch /proc read to claim 10 GB RSS.
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def fake_open(path, *args, **kwargs):
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if str(path).startswith("/proc/"):
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import io
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return io.StringIO(f"Name:\ttest\nVmRSS:\t{10 * 1024 ** 2}\tkB\n")
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return open(path, *args, **kwargs) # fall through
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with patch("builtins.open", side_effect = fake_open):
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out = inst.load_progress()
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assert out is not None
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assert out["phase"] == "mmap"
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assert out["bytes_total"] == 40 * 1024**3
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assert out["bytes_loaded"] == 10 * 1024**3
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assert 0.24 < out["fraction"] < 0.26 # ~25%
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def test_ready_phase_when_healthy(self, tmp_path):
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gguf = tmp_path / "model.gguf"
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_write_sparse_file(gguf, 8 * 1024**3)
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inst = _make_instance()
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inst._process = _FakeProc(pid = os.getpid())
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inst._gguf_path = str(gguf)
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inst._healthy = True
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def fake_open(path, *args, **kwargs):
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if str(path).startswith("/proc/"):
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import io
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return io.StringIO(f"VmRSS:\t{8 * 1024 ** 2}\tkB\n")
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return open(path, *args, **kwargs)
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with patch("builtins.open", side_effect = fake_open):
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out = inst.load_progress()
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assert out is not None
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assert out["phase"] == "ready"
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assert out["bytes_total"] == 8 * 1024**3
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assert out["bytes_loaded"] == 8 * 1024**3
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assert out["fraction"] == 1.0
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class TestLoadProgressMultiShard:
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"""Shard-aware total: for ``*-00001-of-00004.gguf`` primaries the
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method sums sibling files with the same prefix."""
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def test_sharded_total_aggregates_siblings(self, tmp_path):
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for i in range(1, 5):
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_write_sparse_file(
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tmp_path / f"model-{i:05d}-of-00004.gguf",
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size_bytes = 20 * 1024**3,
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)
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# Drop an unrelated .gguf in the same folder -- must not be counted.
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_write_sparse_file(tmp_path / "mmproj-BF16.gguf", 2 * 1024**3)
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inst = _make_instance()
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inst._process = _FakeProc(pid = os.getpid())
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inst._gguf_path = str(tmp_path / "model-00001-of-00004.gguf")
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inst._healthy = False
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def fake_open(path, *args, **kwargs):
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if str(path).startswith("/proc/"):
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import io
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return io.StringIO("VmRSS:\t0\tkB\n")
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return open(path, *args, **kwargs)
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with patch("builtins.open", side_effect = fake_open):
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out = inst.load_progress()
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assert out is not None
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assert out["bytes_total"] == 80 * 1024**3 # 4 x 20 GB, no mmproj
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class TestLoadProgressDegradation:
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"""Broken / unusual inputs never raise; they produce best-effort output."""
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def test_missing_gguf_path_still_reports_rss(self, tmp_path):
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inst = _make_instance()
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inst._process = _FakeProc(pid = os.getpid())
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inst._gguf_path = None
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inst._healthy = False
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def fake_open(path, *args, **kwargs):
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if str(path).startswith("/proc/"):
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import io
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return io.StringIO("VmRSS:\t1024\tkB\n")
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return open(path, *args, **kwargs)
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with patch("builtins.open", side_effect = fake_open):
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out = inst.load_progress()
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assert out is not None
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assert out["phase"] == "mmap"
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assert out["bytes_total"] == 0
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assert out["bytes_loaded"] == 1024 * 1024
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assert out["fraction"] == 0.0
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def test_unreadable_proc_returns_none(self, tmp_path):
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inst = _make_instance()
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# Pid that doesn't exist -> /proc read fails.
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inst._process = _FakeProc(pid = 999_999_999)
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inst._gguf_path = str(tmp_path / "model.gguf") # doesn't need to exist
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inst._healthy = False
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out = inst.load_progress()
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# FileNotFoundError on /proc path -> load_progress returns None.
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assert out is None
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