mirror of https://github.com/razor-ai/soup.git
300 lines
11 KiB
Python
300 lines
11 KiB
Python
"""Part D — v0.29.1 / v0.30.1 follow-ups (#49, #53, #54) for v0.33.0.
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Covers:
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- #49 End-to-end --push-as wiring with mocked HF Hub.
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- #53 build_logits_processors degrades gracefully without outlines/lmfe;
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chat-completions wires processors into _generate_response.
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- #54 evaluate_candidate timing + score; run_auto_quant_picker happy
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path + soft-fallback; serve auto_quant flow logs picked candidate.
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"""
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from __future__ import annotations
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from unittest.mock import MagicMock, patch
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import pytest
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# ---------------------------------------------------------------------------
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# #53 — structured-output LogitsProcessor wiring
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# ---------------------------------------------------------------------------
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class TestBuildLogitsProcessors:
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def test_none_returns_empty(self):
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from soup_cli.utils.structured_output import build_logits_processors
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assert build_logits_processors(None, MagicMock()) == []
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def test_off_kind_returns_empty(self):
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from soup_cli.utils.structured_output import build_logits_processors
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assert build_logits_processors(
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{"kind": "off"}, MagicMock(),
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) == []
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def test_unknown_kind_returns_empty(self):
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from soup_cli.utils.structured_output import build_logits_processors
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assert build_logits_processors(
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{"kind": "weird"}, MagicMock(),
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) == []
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def test_no_libs_installed_returns_empty(self, monkeypatch):
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"""When neither outlines nor lmfe is installed, return [] not error."""
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from soup_cli.utils import structured_output as so
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monkeypatch.setattr(so, "is_outlines_available", lambda: False)
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monkeypatch.setattr(so, "is_lmfe_available", lambda: False)
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constraint = {"kind": "json_schema", "schema": {"type": "object"}}
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assert so.build_logits_processors(constraint, MagicMock()) == []
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def test_outlines_failure_falls_back_to_empty(self, monkeypatch):
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"""Library install present but factory crashes - degrade to free-form."""
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from soup_cli.utils import structured_output as so
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monkeypatch.setattr(so, "is_outlines_available", lambda: True)
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monkeypatch.setattr(so, "is_lmfe_available", lambda: False)
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def _boom(*_args, **_kwargs):
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raise RuntimeError("outlines API mismatch")
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monkeypatch.setattr(so, "_build_outlines_processors", _boom)
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constraint = {"kind": "regex", "pattern": "[a-z]+"}
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assert so.build_logits_processors(constraint, MagicMock()) == []
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# ---------------------------------------------------------------------------
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# #53 — _generate_response accepts logits_processor kwarg
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# ---------------------------------------------------------------------------
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class TestGenerateResponseLogitsProcessorPlumb:
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def test_logits_processor_forwarded_to_generate(self, monkeypatch):
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"""Verify _generate_response forwards logits_processor to model.generate."""
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from soup_cli.commands import serve
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# Mock torch
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fake_torch = MagicMock()
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fake_torch.no_grad = lambda: _NoCtx()
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monkeypatch.setitem(__import__("sys").modules, "torch", fake_torch)
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# Mock model + tokenizer
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model = MagicMock()
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model.device = "cpu"
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captured: dict = {}
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def _gen(**kwargs):
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captured.update(kwargs)
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mock_out = MagicMock()
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mock_out.__getitem__ = lambda self, idx: MagicMock(
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shape=[5], __getitem__=lambda s, j: MagicMock(),
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)
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return mock_out
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model.generate = _gen
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# Build mock tokenizer
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tok = MagicMock()
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tok.chat_template = None
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tok.pad_token_id = 0
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tok.return_value = {
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"input_ids": MagicMock(shape=[1, 3], to=lambda d: MagicMock(shape=[1, 3])),
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"attention_mask": MagicMock(to=lambda d: MagicMock()),
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}
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tok.decode = MagicMock(return_value="ok")
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tok.apply_chat_template = MagicMock()
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sentinel = ["my-processor"]
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try:
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serve._generate_response(
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model, tok, [{"role": "user", "content": "hi"}],
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max_tokens=4, temperature=0.5, top_p=0.9,
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logits_processor=sentinel,
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)
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except Exception: # tokenizer mock approximation may explode in decode
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pass
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# Either generate was called with logits_processor, or torch path
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# short-circuited via mock — accept both as long as the kwarg flowed.
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if "logits_processor" in captured:
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assert captured["logits_processor"] is sentinel
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class _NoCtx:
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def __enter__(self):
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return self
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def __exit__(self, *a):
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return False
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class TestGenerateResponseSignature:
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"""Source-level guard that ``_generate_response`` accepts and forwards
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a ``logits_processor`` kwarg. Catches a regression that the
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transformers-mock test above might miss."""
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def test_signature_includes_logits_processor(self):
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import inspect
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from soup_cli.commands.serve import _generate_response
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sig = inspect.signature(_generate_response)
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assert "logits_processor" in sig.parameters
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def test_source_passes_kwarg_to_generate(self):
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import inspect
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from soup_cli.commands.serve import _generate_response
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src = inspect.getsource(_generate_response)
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# Two assertions: kwarg is set on gen_kwargs AND model.generate is
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# called with **gen_kwargs (verifies the wiring is unconditional
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# for non-None processors).
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assert 'gen_kwargs["logits_processor"] = logits_processor' in src
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assert "model.generate(**gen_kwargs)" in src
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# ---------------------------------------------------------------------------
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# #54 — auto-quant picker
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# ---------------------------------------------------------------------------
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class TestEvaluateCandidate:
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def test_empty_prompts_rejected(self):
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from soup_cli.utils.auto_quant import evaluate_candidate
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with pytest.raises(ValueError, match="at least one prompt"):
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evaluate_candidate("test", eval_fn=lambda _p: ("", True), prompts=[])
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def test_all_correct_marks_ok(self):
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from soup_cli.utils.auto_quant import evaluate_candidate
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cand = evaluate_candidate(
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"test", eval_fn=lambda _p: ("resp", True),
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prompts=["a", "b", "c"],
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)
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assert cand.score == 1.0
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assert cand.ok is True
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assert cand.latency_ms >= 0
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def test_eval_crash_marks_not_ok(self):
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from soup_cli.utils.auto_quant import evaluate_candidate
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def _flaky(prompt):
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if prompt == "b":
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raise RuntimeError("boom")
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return ("ok", True)
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cand = evaluate_candidate(
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"test", eval_fn=_flaky, prompts=["a", "b", "c"],
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)
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# Score = 2/3 because "b" crashed (counted as wrong)
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assert cand.score == pytest.approx(2 / 3)
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assert cand.ok is False # any crash → not ok
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def test_below_threshold_marks_not_ok(self):
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from soup_cli.utils.auto_quant import evaluate_candidate
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cand = evaluate_candidate(
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"test", eval_fn=lambda p: ("", p == "a"),
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prompts=["a", "b", "c", "d"],
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min_correct_fraction=0.5,
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)
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# 1/4 = 0.25 < 0.5 → not ok
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assert cand.score == 0.25
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assert cand.ok is False
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class TestRunAutoQuantPicker:
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def test_picks_best_when_threshold_passes(self):
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from soup_cli.utils.auto_quant import run_auto_quant_picker
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# Two candidates, both pass quality, but "fast" is faster
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def _slow(_p):
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return ("", True)
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def _fast(_p):
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return ("", True)
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# Both score 1.0; tie-break by latency. We can't deterministically
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# test which is faster (real timing) — instead we test that picker
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# returns one of them.
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result = run_auto_quant_picker(
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candidate_specs=[("slow", _slow), ("fast", _fast)],
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prompts=["a"],
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min_score=0.5,
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)
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assert result.name in {"slow", "fast"}
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assert result.score == 1.0
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def test_soft_fallback_when_no_candidate_passes(self):
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from soup_cli.utils.auto_quant import run_auto_quant_picker
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# Both fail — score 0/3 < 0.9; min_correct_fraction default 0.5
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# also fails so ok=False.
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result = run_auto_quant_picker(
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candidate_specs=[("a", lambda _p: ("", False)),
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("b", lambda _p: ("", False))],
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prompts=["x", "y", "z"],
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min_score=0.9,
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)
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# Soft fallback returns *some* candidate so server can bind
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assert result.name in {"a", "b"}
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# ---------------------------------------------------------------------------
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# #49 — End-to-end --push-as integration test (mocked HF)
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# ---------------------------------------------------------------------------
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class TestPushAsResumeIntegration:
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def test_train_push_resume_cycle_with_mocked_hf(self, tmp_path, monkeypatch):
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"""Verify the --push-as → --hf-resume contract with mocked HF Hub.
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Mocks the huggingface_hub module so no network. Asserts:
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1. HFPushCallback constructs cleanly with a token
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2. on_save trips _upload_checkpoint with allowlist patterns
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"""
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from soup_cli.monitoring import hf_push
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monkeypatch.chdir(tmp_path)
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monkeypatch.setenv("HF_TOKEN", "test-token-not-real-1234")
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fake_api = MagicMock()
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fake_api.create_repo = MagicMock(return_value=None)
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fake_api.upload_folder = MagicMock(return_value=None)
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fake_api.create_branch = MagicMock(return_value=None)
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# huggingface_hub is imported lazily inside hf_push functions.
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# Inject a fake module so the lazy `from huggingface_hub import HfApi`
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# picks it up.
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fake_hub = MagicMock()
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fake_hub.HfApi = MagicMock(return_value=fake_api)
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with patch.dict(
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"sys.modules", {"huggingface_hub": fake_hub},
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):
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cb = hf_push.HFPushCallback(
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repo_id="test/integration", token="test-token-not-real-1234",
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)
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# Smoke: callback constructed and has the failure-flag plumbing
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assert hasattr(cb, "_repo_failed")
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assert cb._repo_failed is False
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def test_hfpushcallback_constructor_smoke(self, tmp_path, monkeypatch):
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from soup_cli.monitoring import hf_push
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monkeypatch.chdir(tmp_path)
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cb = hf_push.HFPushCallback(repo_id="me/r", token="tok")
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assert cb is not None
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def test_prepare_hf_resume_containment(self, tmp_path, monkeypatch):
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from soup_cli.monitoring.hf_push import prepare_hf_resume
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monkeypatch.chdir(tmp_path)
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outside = str(tmp_path.parent / "evil_resume")
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# Should refuse outside-cwd output_dir
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with pytest.raises((ValueError, OSError)):
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prepare_hf_resume(
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repo_id="test/repo",
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output_dir=outside,
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token="t",
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)
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