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83 lines
3.6 KiB
Python
83 lines
3.6 KiB
Python
"""Phase 1 (#1171): kompress cooperative chunk-boundary deadline.
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Kompress ONNX inference is O(tokens) and non-preemptible once the request's
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asyncio timeout fires, so one large block can run for minutes holding a worker
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(the leak -> executor-saturation -> queue-timeout cascade). compress() checks a
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wall-clock budget at each chunk boundary and, when over, keeps the unprocessed
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tail verbatim and returns -- a partial compression that returns now beats a full
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one that leaks.
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"""
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from __future__ import annotations
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from headroom.transforms import kompress_compressor as kc
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def test_compress_bails_at_deadline_keeping_tail_verbatim(monkeypatch):
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# Fake clock: the pre-loop stamp reads 0s, the first loop-top check reads
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# 999s elapsed -> deadline trips on chunk 0 before any model/tokenizer use.
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clock = iter([0.0] + [999.0] * 50)
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monkeypatch.setattr(kc.time, "perf_counter", lambda: next(clock))
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monkeypatch.setattr(kc, "_load_kompress", lambda *a, **k: (object(), object(), "onnx"))
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monkeypatch.setenv("HEADROOM_COMPRESSION_DEADLINE_MS", "20000")
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comp = kc.KompressCompressor()
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monkeypatch.setattr(comp, "_should_batch_single_content", lambda *a, **k: False)
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content = " ".join(f"w{i}" for i in range(1000))
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result = comp.compress(content)
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# Deadline tripped on the first chunk -> nothing dropped, tail kept verbatim.
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assert result.compressed_tokens == 1000
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assert result.compressed.split() == content.split()
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def test_compress_partial_run_keeps_processed_head_plus_verbatim_tail(monkeypatch):
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# The real partial case: chunk 0 processes (gets compressed), chunk 1 trips
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# the deadline (kept verbatim). Output must be compressed-head + verbatim-tail.
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# Clock: call1=t_deadline(0); calls 2-4 are chunk-0's check+inference reads
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# (under budget); call 5+ is chunk-1's check -> trips.
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# Robust clock: jump past the deadline only AFTER chunk 0 is processed
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# (tracked via the model mock), so adding perf_counter calls inside the chunk
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# body -- e.g. sub-stage timing -- can't shift when the deadline trips.
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state = {"chunks_done": 0}
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def fake_clock():
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return 999.0 if state["chunks_done"] >= 1 else 0.0
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monkeypatch.setattr(kc.time, "perf_counter", fake_clock)
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class _Enc(dict):
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def word_ids(self, batch_index=0):
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return self["_word_ids"]
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class _Tok:
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def __call__(self, chunk_words, **kw):
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n = len(chunk_words)
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return _Enc(input_ids=[[0] * n], attention_mask=[[1] * n], _word_ids=list(range(n)))
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class _Model:
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def get_keep_mask(self, input_ids, attention_mask):
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n = len(input_ids[0])
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mask = [[i < n // 2 for i in range(n)]] # keep first half of the chunk
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state["chunks_done"] += 1 # after chunk 0, the clock trips the deadline
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return mask
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monkeypatch.setattr(kc, "_load_kompress", lambda *a, **k: (_Model(), _Tok(), "onnx"))
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monkeypatch.setattr(kc, "_model_device_type", lambda *a, **k: "cpu")
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monkeypatch.setenv("HEADROOM_COMPRESSION_DEADLINE_MS", "20000")
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comp = kc.KompressCompressor()
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comp.config.chunk_words = 10 # 20 words -> 2 chunks
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monkeypatch.setattr(comp, "_should_batch_single_content", lambda *a, **k: False)
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words = [f"w{i}" for i in range(20)]
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out = comp.compress(" ".join(words)).compressed.split()
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# chunk 0 processed: first half kept (w0..w4), second half dropped (w5..w9)
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assert "w0" in out and "w4" in out
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assert "w5" not in out and "w9" not in out
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# chunk 1 tripped the deadline -> its words kept verbatim (w10..w19 all present)
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for i in range(10, 20):
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assert f"w{i}" in out
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