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6796ce8bdb
Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com> Signed-off-by: Chauncey <chaunceyjiang@gmail.com> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
387 lines
13 KiB
Python
387 lines
13 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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from transformers import AutoTokenizer
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from tests.reasoning.utils import run_reasoning_extraction
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from vllm.entrypoints.openai.protocol import ChatCompletionRequest
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from vllm.reasoning.basic_parsers import BaseThinkingReasoningParser
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# Create a concrete test implementation of BaseThinkingReasoningParser
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class TestThinkingReasoningParser(BaseThinkingReasoningParser):
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"""Test implementation of BaseThinkingReasoningParser."""
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@property
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def start_token(self) -> str:
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return "<test:think>"
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@property
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def end_token(self) -> str:
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return "</test:think>"
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class TestThinkingReasoningParserAlt(BaseThinkingReasoningParser):
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"""Alternative test implementation with different tokens."""
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@property
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def start_token(self) -> str:
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return "<alt:start>"
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@property
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def end_token(self) -> str:
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return "<alt:end>"
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# Use a test model
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REASONING_MODEL_NAME = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
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@pytest.fixture(scope="module")
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def test_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained(REASONING_MODEL_NAME)
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# Add custom test tokens
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test_tokens = ["<test:think>", "</test:think>", "<alt:start>", "<alt:end>"]
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existing_tokens = set(tokenizer.get_vocab().keys())
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new_tokens = [token for token in test_tokens if token not in existing_tokens]
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if new_tokens:
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tokenizer.add_tokens(new_tokens)
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return tokenizer
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class TestBaseThinkingReasoningParserInit:
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"""
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Test initialization and basic properties of
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BaseThinkingReasoningParser.
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"""
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def test_successful_initialization(self, test_tokenizer):
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"""Test successful initialization with valid tokens."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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assert parser.start_token == "<test:think>"
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assert parser.end_token == "</test:think>"
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assert parser.start_token_id is not None
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assert parser.end_token_id is not None
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def test_initialization_with_missing_tokenizer(self):
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"""Test that initialization fails without tokenizer."""
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with pytest.raises(ValueError, match="model tokenizer must be passed"):
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TestThinkingReasoningParser(None)
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def test_initialization_with_missing_tokens(self, test_tokenizer):
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"""Test that initialization fails when tokens are not in vocabulary."""
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# Create a parser with tokens not in vocabulary
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class MissingTokenParser(BaseThinkingReasoningParser):
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@property
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def start_token(self) -> str:
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return "<missing:start>"
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@property
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def end_token(self) -> str:
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return "<missing:end>"
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with pytest.raises(
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RuntimeError, match="could not locate think start/end tokens"
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):
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MissingTokenParser(test_tokenizer)
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def test_initialization_with_empty_tokens(self, test_tokenizer):
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"""Test that initialization fails with empty token strings."""
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class EmptyTokenParser(BaseThinkingReasoningParser):
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@property
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def start_token(self) -> str:
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return ""
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@property
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def end_token(self) -> str:
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return ""
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with pytest.raises(
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ValueError, match="start_token and end_token must be defined"
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):
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EmptyTokenParser(test_tokenizer)
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class TestBaseThinkingReasoningParserMethods:
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"""Test the methods of BaseThinkingReasoningParser."""
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def test_is_reasoning_end(self, test_tokenizer):
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"""Test the is_reasoning_end method."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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end_token_id = parser.end_token_id
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start_token_id = parser.start_token_id
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# Test with end token present
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assert parser.is_reasoning_end([1, 2, end_token_id, 4]) is True
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# Test without end token
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assert parser.is_reasoning_end([1, 2, 3, 4]) is False
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# Test with empty list
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assert parser.is_reasoning_end([]) is False
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# Test with interleaved thinking
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assert parser.is_reasoning_end([1, start_token_id, 2, end_token_id]) is True
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assert parser.is_reasoning_end([1, start_token_id, 2, 3]) is False
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assert (
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parser.is_reasoning_end(
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[1, start_token_id, 2, end_token_id, 2, 2, start_token_id]
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)
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is False
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)
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def test_extract_content_ids(self, test_tokenizer):
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"""Test the extract_content_ids method."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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end_token_id = parser.end_token_id
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# Test with end token in the middle
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input_ids = [1, 2, end_token_id, 4, 5]
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content_ids = parser.extract_content_ids(input_ids)
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assert content_ids == [4, 5]
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# Test with end token at the end
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input_ids = [1, 2, 3, end_token_id]
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content_ids = parser.extract_content_ids(input_ids)
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assert content_ids == []
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# Test without end token
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input_ids = [1, 2, 3, 4]
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content_ids = parser.extract_content_ids(input_ids)
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assert content_ids == []
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# Test with end token as last element (should not extract)
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input_ids = [1, 2, 3, end_token_id]
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content_ids = parser.extract_content_ids(input_ids)
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assert content_ids == []
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class TestBaseThinkingReasoningParserExtraction:
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"""Test reasoning content extraction methods."""
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def test_extract_reasoning_with_both_tokens(self, test_tokenizer):
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"""Test extraction when both start and end tokens are present."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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request = ChatCompletionRequest(messages=[], model="test-model")
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model_output = "<test:think>This is reasoning</test:think>This is content"
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reasoning, content = parser.extract_reasoning(model_output, request)
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assert reasoning == "This is reasoning"
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assert content == "This is content"
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def test_extract_reasoning_only_end_token(self, test_tokenizer):
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"""Test extraction when only end token is present."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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request = ChatCompletionRequest(messages=[], model="test-model")
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model_output = "This is reasoning</test:think>This is content"
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reasoning, content = parser.extract_reasoning(model_output, request)
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assert reasoning == "This is reasoning"
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assert content == "This is content"
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def test_extract_reasoning_no_end_token(self, test_tokenizer):
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"""Test extraction when no end token is present."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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request = ChatCompletionRequest(messages=[], model="test-model")
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model_output = "This is just content"
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reasoning, content = parser.extract_reasoning(model_output, request)
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assert reasoning == "This is just content"
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assert content is None
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def test_extract_reasoning_empty_output(self, test_tokenizer):
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"""Test extraction with empty output."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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request = ChatCompletionRequest(messages=[], model="test-model")
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model_output = ""
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reasoning, content = parser.extract_reasoning(model_output, request)
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assert reasoning == ""
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assert content is None
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def test_extract_reasoning_only_tokens(self, test_tokenizer):
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"""Test extraction with only tokens and no content."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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request = ChatCompletionRequest(messages=[], model="test-model")
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model_output = "<test:think></test:think>"
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reasoning, content = parser.extract_reasoning(model_output, request)
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assert reasoning == ""
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assert content is None
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class TestBaseThinkingReasoningParserStreaming:
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"""Test streaming functionality of BaseThinkingReasoningParser."""
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@pytest.mark.parametrize("streaming", [True, False])
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def test_simple_reasoning_extraction(self, test_tokenizer, streaming):
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"""
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Test basic reasoning extraction in both
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streaming and non-streaming modes.
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"""
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parser = TestThinkingReasoningParser(test_tokenizer)
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model_output = [
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"<test:think>",
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"Some ",
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"reasoning ",
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"content",
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"</test:think>",
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"Final ",
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"answer",
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]
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reasoning, content = run_reasoning_extraction(
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parser, model_output, streaming=streaming
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)
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assert reasoning == "Some reasoning content"
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assert content == "Final answer"
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def test_streaming_with_incremental_deltas(self, test_tokenizer):
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"""Test streaming processing with small incremental deltas."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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deltas = [
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"<test:think>",
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"Some ",
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"reasoning ",
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"content",
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"</test:think>",
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"Final ",
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"answer",
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]
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reasoning, content = run_reasoning_extraction(parser, deltas, streaming=True)
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assert reasoning == "Some reasoning content"
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assert content == "Final answer"
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def test_streaming_with_start_token(self, test_tokenizer):
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"""Test streaming with start token included."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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deltas = [
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"<test:think>",
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"Some ",
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"reasoning",
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"</test:think>",
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"Answer",
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]
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reasoning, content = run_reasoning_extraction(parser, deltas, streaming=True)
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assert reasoning == "Some reasoning"
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assert content == "Answer"
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def test_streaming_no_end_token(self, test_tokenizer):
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"""Test streaming when no end token is encountered."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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deltas = [
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"<test:think>",
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"Some ",
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"reasoning ",
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"without ",
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"end",
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]
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reasoning, content = run_reasoning_extraction(parser, deltas, streaming=True)
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assert reasoning == "Some reasoning without end"
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assert content is None
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def test_streaming_only_end_token(self, test_tokenizer):
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"""Test streaming when only end token appears."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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deltas = [
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"<test:think>",
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"Reasoning ",
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"content",
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"</test:think>",
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"Final",
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]
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reasoning, content = run_reasoning_extraction(parser, deltas, streaming=True)
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assert reasoning == "Reasoning content"
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assert content == "Final"
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class TestBaseThinkingReasoningParserMultipleImplementations:
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"""
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Test that multiple implementations of
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BaseThinkingReasoningParser work correctly.
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"""
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def test_different_token_implementations(self, test_tokenizer):
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"""
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Test that different implementations
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with different tokens work independently.
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"""
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parser1 = TestThinkingReasoningParser(test_tokenizer)
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parser2 = TestThinkingReasoningParserAlt(test_tokenizer)
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# Test parser1
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model_output1 = "Reasoning1</test:think>Content1"
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reasoning1, content1 = run_reasoning_extraction(parser1, [model_output1])
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assert reasoning1 == "Reasoning1"
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assert content1 == "Content1"
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# Test parser2
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model_output2 = "Reasoning2<alt:end>Content2"
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reasoning2, content2 = run_reasoning_extraction(parser2, [model_output2])
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assert reasoning2 == "Reasoning2"
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assert content2 == "Content2"
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# Verify tokens are different
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assert parser1.start_token != parser2.start_token
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assert parser1.end_token != parser2.end_token
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assert parser1.start_token_id != parser2.start_token_id
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assert parser1.end_token_id != parser2.end_token_id
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class TestBaseThinkingReasoningParserEdgeCases:
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"""Test edge cases and error conditions."""
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def test_multiple_end_tokens(self, test_tokenizer):
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"""Test behavior with multiple end tokens."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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model_output = "First</test:think>Middle</test:think>Last"
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reasoning, content = run_reasoning_extraction(parser, [model_output])
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# Should stop at first end token
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assert reasoning == "First"
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assert content == "Middle</test:think>Last"
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def test_nested_tokens(self, test_tokenizer):
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"""Test behavior with nested-like token patterns."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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model_output = "<test:think>Outer<test:think>Inner</test:think>Content"
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reasoning, content = run_reasoning_extraction(parser, [model_output])
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# Should process normally, start from first start token
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assert reasoning == "Outer<test:think>Inner"
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assert content == "Content"
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def test_malformed_tokens(self, test_tokenizer):
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"""Test behavior with malformed token-like strings."""
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parser = TestThinkingReasoningParser(test_tokenizer)
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model_output = "<test:thinking>Not a real token</test:thinking>Content"
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reasoning, content = run_reasoning_extraction(parser, [model_output])
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# Should treat as regular content since tokens don't match exactly
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assert reasoning == ("<test:thinking>Not a real token</test:thinking>Content")
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assert content is None
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