1551 lines
67 KiB
Python
1551 lines
67 KiB
Python
"""Unit tests for srt/parser/reasoning_parser.py"""
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import unittest
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from sglang.srt.parser.reasoning_parser import (
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BaseReasoningFormatDetector,
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DeepSeekR1Detector,
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Gemma4Detector,
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Glm45Detector,
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HunyuanDetector,
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KimiDetector,
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KimiK2Detector,
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Nemotron3Detector,
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Qwen3Detector,
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ReasoningParser,
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StreamingParseResult,
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)
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from sglang.test.ci.ci_register import register_cpu_ci
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from sglang.test.test_utils import CustomTestCase
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register_cpu_ci(est_time=7, suite="base-a-test-cpu")
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class TestStreamingParseResult(CustomTestCase):
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def test_init_default(self):
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"""Test default initialization of StreamingParseResult."""
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result = StreamingParseResult()
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self.assertEqual(result.normal_text, "")
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self.assertEqual(result.reasoning_text, "")
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def test_init_with_values(self):
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"""Test initialization with specific values."""
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result = StreamingParseResult("normal", "reasoning")
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self.assertEqual(result.normal_text, "normal")
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self.assertEqual(result.reasoning_text, "reasoning")
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class TestBaseReasoningFormatDetector(CustomTestCase):
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def setUp(self):
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self.detector = BaseReasoningFormatDetector(
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think_start_token="<think>",
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think_end_token="</think>",
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force_reasoning=False,
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stream_reasoning=True,
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)
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def test_init(self):
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"""Test initialization of BaseReasoningFormatDetector."""
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self.assertEqual(self.detector.think_start_token, "<think>")
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self.assertEqual(self.detector.think_end_token, "</think>")
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self.assertFalse(self.detector._in_reasoning)
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self.assertTrue(self.detector.stream_reasoning)
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self.assertEqual(self.detector._buffer, "")
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self.assertFalse(self.detector.stripped_think_start)
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def test_detect_and_parse_normal_text(self):
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"""Test parsing normal text without reasoning."""
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text = "This is normal text"
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.normal_text, text)
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self.assertEqual(result.reasoning_text, "")
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def test_detect_and_parse_with_start_token(self):
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"""Test parsing text starting with think token."""
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text = "<think>This is reasoning"
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "This is reasoning")
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self.assertEqual(result.normal_text, "")
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def test_detect_and_parse_complete_reasoning(self):
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"""Test parsing complete reasoning block."""
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text = "<think>This is reasoning</think>This is normal"
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "This is reasoning")
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self.assertEqual(result.normal_text, "This is normal")
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def test_detect_and_parse_force_reasoning(self):
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"""Test forced reasoning mode."""
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detector = BaseReasoningFormatDetector(
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"<think>", "</think>", force_reasoning=True
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)
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text = "This should be reasoning"
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result = detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "This should be reasoning")
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self.assertEqual(result.normal_text, "")
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def test_parse_streaming_increment_normal(self):
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"""Test streaming parse of normal text."""
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result = self.detector.parse_streaming_increment("Hello world")
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self.assertEqual(result.normal_text, "Hello world")
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self.assertEqual(result.reasoning_text, "")
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def test_parse_streaming_increment_partial_token(self):
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"""Test streaming parse with partial token."""
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# Test partial start token
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result = self.detector.parse_streaming_increment("<thi")
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self.assertEqual(result.normal_text, "")
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self.assertEqual(result.reasoning_text, "")
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# Reset detector and test partial end token when in reasoning mode
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detector = BaseReasoningFormatDetector("<think>", "</think>")
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detector._in_reasoning = True
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result = detector.parse_streaming_increment("</thi")
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self.assertEqual(result.normal_text, "")
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self.assertEqual(result.reasoning_text, "")
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def test_parse_streaming_increment_complete_start(self):
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"""Test streaming parse with complete start token."""
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result = self.detector.parse_streaming_increment("<think>")
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self.assertEqual(result.normal_text, "")
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self.assertEqual(result.reasoning_text, "")
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self.assertTrue(self.detector._in_reasoning)
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self.assertTrue(self.detector.stripped_think_start)
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def test_parse_streaming_increment_reasoning_content(self):
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"""Test streaming parse of reasoning content."""
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# First add start token
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self.detector.parse_streaming_increment("<think>")
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# Then add reasoning content
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result = self.detector.parse_streaming_increment("reasoning content")
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self.assertEqual(result.reasoning_text, "reasoning content")
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self.assertEqual(result.normal_text, "")
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def test_parse_streaming_increment_end_token(self):
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"""Test streaming parse with end token."""
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# Start reasoning mode
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self.detector.parse_streaming_increment("<think>")
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self.detector.parse_streaming_increment("reasoning")
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# End reasoning - the reasoning content accumulated in previous calls is cleared when end token is found
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result = self.detector.parse_streaming_increment("</think>normal text")
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self.assertEqual(result.reasoning_text, "") # Buffer cleared, returns empty
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self.assertEqual(result.normal_text, "normal text")
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self.assertFalse(self.detector._in_reasoning)
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def test_parse_streaming_increment_no_stream_reasoning(self):
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"""Test streaming parse without streaming reasoning."""
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detector = BaseReasoningFormatDetector(
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"<think>", "</think>", stream_reasoning=False
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)
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# Start reasoning mode
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detector.parse_streaming_increment("<think>")
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# Add reasoning content - should not return content
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result = detector.parse_streaming_increment("reasoning content")
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self.assertEqual(result.reasoning_text, "")
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self.assertEqual(result.normal_text, "")
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def test_parse_streaming_increment_mixed_content(self):
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"""Test streaming parse with mixed content in one chunk."""
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result = self.detector.parse_streaming_increment(
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"<think>reasoning</think>normal"
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)
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self.assertEqual(result.reasoning_text, "reasoning")
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self.assertEqual(result.normal_text, "normal")
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class TestDeepSeekR1Detector(CustomTestCase):
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def setUp(self):
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self.detector = DeepSeekR1Detector()
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def test_init(self):
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"""Test DeepSeekR1Detector initialization."""
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self.assertEqual(self.detector.think_start_token, "<think>")
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self.assertEqual(self.detector.think_end_token, "</think>")
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self.assertTrue(self.detector._in_reasoning) # force_reasoning=True
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self.assertTrue(self.detector.stream_reasoning)
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def test_init_no_stream_reasoning(self):
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"""Test DeepSeekR1Detector with stream_reasoning=False."""
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detector = DeepSeekR1Detector(stream_reasoning=False)
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self.assertFalse(detector.stream_reasoning)
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def test_detect_and_parse_r1_format(self):
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"""Test parsing DeepSeek-R1 format."""
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text = "I need to think about this. The answer is 42."
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result = self.detector.detect_and_parse(text)
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# Should be treated as reasoning because force_reasoning=True
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self.assertEqual(
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result.reasoning_text, "I need to think about this. The answer is 42."
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)
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self.assertEqual(result.normal_text, "")
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def test_detect_and_parse_with_end_token(self):
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"""Test parsing with end token."""
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text = "I think this is the answer</think>The final answer is 42."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "I think this is the answer")
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self.assertEqual(result.normal_text, "The final answer is 42.")
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def test_detect_and_parse_with_start_token(self):
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"""Test parsing deepseek-ai/DeepSeek-R1-0528 format, which generates the <think> token."""
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text = "<think>I need to think about this.</think>The answer is 42."
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result = self.detector.detect_and_parse(text)
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# Should be treated as reasoning because force_reasoning=True
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self.assertEqual(result.reasoning_text, "I need to think about this.")
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self.assertEqual(result.normal_text, "The answer is 42.")
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class TestQwen3Detector(CustomTestCase):
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def setUp(self):
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self.detector = Qwen3Detector()
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def test_init(self):
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"""Test Qwen3Detector initialization."""
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self.assertEqual(self.detector.think_start_token, "<think>")
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self.assertEqual(self.detector.think_end_token, "</think>")
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self.assertFalse(self.detector._in_reasoning) # force_reasoning=False
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self.assertTrue(self.detector.stream_reasoning)
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def test_detect_and_parse_qwen3_format(self):
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"""Test parsing Qwen3 format."""
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text = "<think>Let me think about this problem</think>The answer is 42."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "Let me think about this problem")
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self.assertEqual(result.normal_text, "The answer is 42.")
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def test_detect_and_parse_without_thinking(self):
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"""Test parsing without thinking (enable_thinking=False case)."""
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text = "Direct answer without thinking."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.normal_text, text)
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self.assertEqual(result.reasoning_text, "")
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class TestQwen3ForcedReasoningDetector(CustomTestCase):
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def setUp(self):
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self.detector = Qwen3Detector(force_reasoning=True)
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def test_init(self):
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"""Test Qwen3ForcedReasoningDetector initialization."""
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self.assertEqual(self.detector.think_start_token, "<think>")
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self.assertEqual(self.detector.think_end_token, "</think>")
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self.assertTrue(self.detector._in_reasoning) # force_reasoning=True
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self.assertTrue(self.detector.stream_reasoning)
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def test_detect_and_parse_qwen3_forced_reasoning_format(self):
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"""Test parsing Qwen3-ForcedReasoning format (no <think> start tag)."""
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text = "I need to think about this step by step.</think>The answer is 42."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(
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result.reasoning_text, "I need to think about this step by step."
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)
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self.assertEqual(result.normal_text, "The answer is 42.")
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def test_detect_and_parse_with_start_token(self):
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"""Test parsing Qwen3-ForcedReasoning with optional <think> start tag."""
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text = "<think>I need to think about this.</think>The answer is 42."
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result = self.detector.detect_and_parse(text)
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# Should work because base class logic handles both force_reasoning=True OR start token
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self.assertEqual(result.reasoning_text, "I need to think about this.")
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self.assertEqual(result.normal_text, "The answer is 42.")
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def test_streaming_qwen3_forced_reasoning_format(self):
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"""Test streaming parse of Qwen3-ForcedReasoning format."""
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# First chunk without <think> start
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result = self.detector.parse_streaming_increment("I need to")
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self.assertEqual(result.reasoning_text, "I need to")
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self.assertEqual(result.normal_text, "")
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# More reasoning content
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result = self.detector.parse_streaming_increment(" think about this.")
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self.assertEqual(result.reasoning_text, " think about this.")
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self.assertEqual(result.normal_text, "")
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# End token with normal text
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result = self.detector.parse_streaming_increment("</think>The answer is 42.")
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self.assertEqual(result.reasoning_text, "") # Buffer cleared
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self.assertEqual(result.normal_text, "The answer is 42.")
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class TestKimiDetector(CustomTestCase):
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def setUp(self):
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self.detector = KimiDetector()
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def test_init(self):
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"""Test KimiDetector initialization."""
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self.assertEqual(self.detector.think_start_token, "◁think▷")
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self.assertEqual(self.detector.think_end_token, "◁/think▷")
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self.assertFalse(self.detector._in_reasoning)
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self.assertTrue(self.detector.stream_reasoning)
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def test_detect_and_parse_kimi_format(self):
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"""Test parsing Kimi format."""
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text = "◁think▷Let me consider this carefully◁/think▷The answer is 42."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "Let me consider this carefully")
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self.assertEqual(result.normal_text, "The answer is 42.")
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def test_detect_and_parse_kimi_no_thinking(self):
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"""Test parsing Kimi format without thinking."""
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text = "Direct answer without thinking tokens."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.normal_text, text)
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self.assertEqual(result.reasoning_text, "")
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def test_streaming_kimi_format(self):
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"""Test streaming parse of Kimi format."""
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# Test partial token
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result = self.detector.parse_streaming_increment("◁thi")
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self.assertEqual(result.normal_text, "")
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self.assertEqual(result.reasoning_text, "")
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# Complete start token
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result = self.detector.parse_streaming_increment("nk▷Start")
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self.assertEqual(result.normal_text, "")
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self.assertEqual(result.reasoning_text, "Start")
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self.assertTrue(self.detector._in_reasoning)
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# Add reasoning content
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result = self.detector.parse_streaming_increment("thinking...")
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self.assertEqual(result.reasoning_text, "thinking...")
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self.assertEqual(result.normal_text, "")
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# End token - reasoning content is cleared when end token is processed
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result = self.detector.parse_streaming_increment("◁/think▷answer")
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self.assertEqual(result.reasoning_text, "") # Buffer cleared
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self.assertEqual(result.normal_text, "answer")
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class TestKimiK2Detector(CustomTestCase):
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"""Test cases for KimiK2 detector with tool interruption support."""
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def setUp(self):
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self.detector = KimiK2Detector()
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def test_init(self):
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"""Test KimiK2Detector initialization."""
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self.assertEqual(self.detector.think_start_token, "<think>")
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self.assertEqual(self.detector.think_end_token, "</think>")
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self.assertEqual(self.detector.tool_start_token, "<|tool_calls_section_begin|>")
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self.assertFalse(self.detector._in_reasoning)
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self.assertTrue(self.detector.stream_reasoning)
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def test_detect_and_parse_tool_interrupt(self):
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"""Test parsing with Kimi-K2 tool-section interruption."""
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text = "<think>thinking<|tool_calls_section_begin|><|tool_call_begin|>"
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "thinking")
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self.assertEqual(
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result.normal_text, "<|tool_calls_section_begin|><|tool_call_begin|>"
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)
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def test_streaming_tool_interrupt(self):
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"""Test streaming parse interrupted by tool section."""
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self.detector.parse_streaming_increment("<think>")
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result1 = self.detector.parse_streaming_increment("reasoning")
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self.assertEqual(result1.reasoning_text, "reasoning")
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self.assertEqual(result1.normal_text, "")
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result2 = self.detector.parse_streaming_increment(
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"<|tool_calls_section_begin|>"
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)
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self.assertEqual(result2.reasoning_text, "")
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self.assertEqual(result2.normal_text, "<|tool_calls_section_begin|>")
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def test_streaming_after_interrupt_is_normal(self):
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"""After interruption, subsequent chunks should be normal text."""
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self.detector.parse_streaming_increment("<think>")
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self.detector.parse_streaming_increment("reasoning<|tool_calls_section_begin|>")
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result = self.detector.parse_streaming_increment("<|tool_call_begin|>")
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self.assertEqual(result.reasoning_text, "")
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self.assertEqual(result.normal_text, "<|tool_call_begin|>")
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class TestGlm45Detector(CustomTestCase):
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"""Test cases for GLM45 detector with tool interruption support."""
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def setUp(self):
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self.detector = Glm45Detector()
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def test_init(self):
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"""Test Glm45Detector initialization."""
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self.assertEqual(self.detector.think_start_token, "<think>")
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self.assertEqual(self.detector.think_end_token, "</think>")
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self.assertEqual(self.detector.tool_start_token, "<tool_call>")
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self.assertFalse(self.detector._in_reasoning)
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self.assertTrue(self.detector.stream_reasoning)
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def test_detect_and_parse_normal_reasoning(self):
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"""Test parsing normal reasoning block without tool interruption."""
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text = "<think>Let me think about this step by step</think>The answer is 42."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "Let me think about this step by step")
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self.assertEqual(result.normal_text, "The answer is 42.")
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def test_detect_and_parse_tool_interrupt(self):
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"""
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Test parsing with tool interruption.
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GLM45 can interrupt reasoning with tool token (<tool_call>) without closing </think>.
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Should split at the first occurrence of tool_start_token using find().
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"""
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text = "<think>I need to think<tool_call>tool call data"
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "I need to think")
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self.assertEqual(result.normal_text, "<tool_call>tool call data")
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def test_detect_and_parse_multiple_tool_calls_find(self):
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"""
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Test that find() finds the FIRST occurrence of tool_start_token.
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If multiple tool calls exist in buffer, should split at the first one.
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"""
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text = "<think>thinking<tool_call>first tool<tool_call>second tool<tool_call>final tool"
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result = self.detector.detect_and_parse(text)
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# Should split at the first <tool_call>
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self.assertEqual(result.reasoning_text, "thinking")
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self.assertEqual(
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result.normal_text,
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"<tool_call>first tool<tool_call>second tool<tool_call>final tool",
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)
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def test_detect_and_parse_truncated_reasoning(self):
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"""
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Test truncated reasoning without tool or end tag.
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Should return all content as reasoning_text.
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"""
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text = "<think>This is incomplete"
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.reasoning_text, "This is incomplete")
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self.assertEqual(result.normal_text, "")
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def test_detect_and_parse_normal_text_only(self):
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"""Test parsing text without reasoning block."""
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text = "Just the answer without any reasoning."
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result = self.detector.detect_and_parse(text)
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self.assertEqual(result.normal_text, text)
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self.assertEqual(result.reasoning_text, "")
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def test_streaming_normal_flow(self):
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"""Test streaming with normal reasoning flow."""
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# Start reasoning
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result1 = self.detector.parse_streaming_increment("<think>")
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self.assertEqual(result1.normal_text, "")
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self.assertEqual(result1.reasoning_text, "")
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self.assertTrue(self.detector._in_reasoning)
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# Reasoning content
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|
result2 = self.detector.parse_streaming_increment("thinking...")
|
|
self.assertEqual(result2.normal_text, "")
|
|
self.assertEqual(result2.reasoning_text, "thinking...")
|
|
|
|
# End reasoning
|
|
result3 = self.detector.parse_streaming_increment("</think>answer")
|
|
self.assertEqual(result3.normal_text, "answer")
|
|
self.assertEqual(result3.reasoning_text, "")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
|
|
def test_streaming_tool_interrupt_split_tokens(self):
|
|
"""
|
|
Test streaming with tool interruption where tool token is split across chunks.
|
|
|
|
This tests the buffer prefix logic that prevents partial emission of tool token.
|
|
"""
|
|
# Start reasoning
|
|
self.detector.parse_streaming_increment("<think>")
|
|
|
|
# Add reasoning
|
|
result1 = self.detector.parse_streaming_increment("thinking")
|
|
self.assertEqual(result1.reasoning_text, "thinking")
|
|
|
|
# Send partial tool token (should be buffered, not emitted)
|
|
result2 = self.detector.parse_streaming_increment("<tool_call>")
|
|
# Tool token is in buffer, causing switch to normal mode
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
self.assertEqual(result2.normal_text, "<tool_call>")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
|
|
# Send tool args
|
|
result3 = self.detector.parse_streaming_increment("tool args")
|
|
self.assertEqual(result3.reasoning_text, "")
|
|
self.assertEqual(result3.normal_text, "tool args")
|
|
|
|
def test_streaming_no_stream_reasoning(self):
|
|
"""Test streaming without stream_reasoning enabled."""
|
|
detector = Glm45Detector(stream_reasoning=False)
|
|
|
|
# Start reasoning
|
|
detector.parse_streaming_increment("<think>")
|
|
|
|
# Reasoning content is buffered and not returned yet
|
|
result = detector.parse_streaming_increment("thinking")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
self.assertEqual(result.normal_text, "")
|
|
|
|
# Tool interruption should still work - flushes buffered reasoning.
|
|
# Note: when stream_reasoning=False, the <think> tag is stripped from the
|
|
# local `current_text` variable but NOT from `self._buffer` (which is never
|
|
# cleared in the non-streaming path). So the flushed reasoning content
|
|
# includes the raw <think> tag.
|
|
result = detector.parse_streaming_increment("<tool_call>tool call")
|
|
self.assertEqual(result.reasoning_text, "<think>thinking")
|
|
self.assertEqual(result.normal_text, "<tool_call>tool call")
|
|
|
|
def test_streaming_empty_reasoning_with_tool(self):
|
|
"""Test empty reasoning block followed by tool call."""
|
|
result1 = self.detector.parse_streaming_increment("<think>")
|
|
result2 = self.detector.parse_streaming_increment("<tool_call>tool call")
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
self.assertEqual(result2.normal_text, "<tool_call>tool call")
|
|
|
|
def test_forced_reasoning_mode(self):
|
|
"""Test GLM45 with force_reasoning=True."""
|
|
detector = Glm45Detector(force_reasoning=True)
|
|
|
|
# Without start token, should still be in reasoning mode
|
|
text = "This is reasoning"
|
|
result = detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "This is reasoning")
|
|
self.assertEqual(result.normal_text, "")
|
|
|
|
# Tool interruption should work with forced reasoning
|
|
text = "More reasoning<tool_call>tool call"
|
|
result = detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "More reasoning")
|
|
self.assertEqual(result.normal_text, "<tool_call>tool call")
|
|
|
|
|
|
class TestHunyuanDetector(CustomTestCase):
|
|
"""Test cases for Hunyuan detector with tool interruption support."""
|
|
|
|
def setUp(self):
|
|
self.detector = HunyuanDetector()
|
|
|
|
def test_init(self):
|
|
"""Test HunyuanDetector initialization."""
|
|
self.assertEqual(self.detector.think_start_token, "<think>")
|
|
self.assertEqual(self.detector.think_end_token, "</think>")
|
|
self.assertEqual(self.detector.tool_start_token, "<tool_calls>")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
self.assertTrue(self.detector.stream_reasoning)
|
|
|
|
def test_detect_and_parse_normal_reasoning(self):
|
|
"""Test parsing normal reasoning block without tool interruption."""
|
|
text = "<think>Let me think about this</think>The answer is 42."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "Let me think about this")
|
|
self.assertEqual(result.normal_text, "The answer is 42.")
|
|
|
|
def test_detect_and_parse_without_thinking(self):
|
|
"""Test parsing without thinking tokens (no_think mode)."""
|
|
text = "Direct answer without thinking."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.normal_text, text)
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_detect_and_parse_tool_interrupt(self):
|
|
"""Test parsing with tool call interruption during reasoning."""
|
|
text = "<think>I need to check<tool_calls><tool_call>get_weather<tool_sep></tool_call></tool_calls>"
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "I need to check")
|
|
self.assertIn("<tool_calls>", result.normal_text)
|
|
|
|
def test_streaming_normal_reasoning(self):
|
|
"""Test streaming parse of normal reasoning block."""
|
|
self.detector.parse_streaming_increment("<think>")
|
|
result1 = self.detector.parse_streaming_increment("reasoning content")
|
|
self.assertEqual(result1.reasoning_text, "reasoning content")
|
|
|
|
result2 = self.detector.parse_streaming_increment("</think>answer")
|
|
self.assertEqual(result2.normal_text, "answer")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
|
|
def test_streaming_tool_interrupt(self):
|
|
"""Test streaming parse interrupted by tool call section."""
|
|
self.detector.parse_streaming_increment("<think>")
|
|
result1 = self.detector.parse_streaming_increment("thinking")
|
|
self.assertEqual(result1.reasoning_text, "thinking")
|
|
|
|
result2 = self.detector.parse_streaming_increment("<tool_calls>")
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
self.assertEqual(result2.normal_text, "<tool_calls>")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
|
|
def test_streaming_after_interrupt_is_normal(self):
|
|
"""After tool interruption, subsequent chunks should be normal text."""
|
|
self.detector.parse_streaming_increment("<think>")
|
|
self.detector.parse_streaming_increment("reasoning<tool_calls>")
|
|
result = self.detector.parse_streaming_increment("<tool_call>data")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
self.assertEqual(result.normal_text, "<tool_call>data")
|
|
|
|
def test_reasoning_parser_integration(self):
|
|
"""Test Hunyuan through ReasoningParser API."""
|
|
parser = ReasoningParser("hunyuan")
|
|
self.assertIsInstance(parser.detector, HunyuanDetector)
|
|
|
|
# Non-streaming
|
|
reasoning, normal = parser.parse_non_stream(
|
|
"<think>thinking<tool_calls><tool_call>func<tool_sep></tool_call></tool_calls>"
|
|
)
|
|
self.assertEqual(reasoning, "thinking")
|
|
self.assertIn("<tool_calls>", normal)
|
|
|
|
def test_reasoning_parser_streaming(self):
|
|
"""Test Hunyuan streaming through ReasoningParser API."""
|
|
parser = ReasoningParser("hunyuan")
|
|
chunks = ["<think>", "reasoning", "<tool_calls>", "<tool_call>func"]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
if reasoning:
|
|
all_reasoning += reasoning
|
|
if normal:
|
|
all_normal += normal
|
|
|
|
self.assertEqual(all_reasoning, "reasoning")
|
|
self.assertIn("<tool_calls>", all_normal)
|
|
|
|
|
|
class TestNemotron3Detector(CustomTestCase):
|
|
def setUp(self):
|
|
self.detector = Nemotron3Detector()
|
|
|
|
def test_init(self):
|
|
"""Test Nemotron3Detector initialization."""
|
|
self.assertEqual(self.detector.think_start_token, "<think>")
|
|
self.assertEqual(self.detector.think_end_token, "</think>")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
self.assertTrue(self.detector.stream_reasoning)
|
|
self.assertFalse(self.detector._force_nonempty_content)
|
|
|
|
def test_detect_and_parse_complete_reasoning(self):
|
|
"""Test parsing complete reasoning block."""
|
|
text = "<think>Let me think about this</think>The answer is 42."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "Let me think about this")
|
|
self.assertEqual(result.normal_text, "The answer is 42.")
|
|
|
|
def test_detect_and_parse_no_thinking(self):
|
|
"""Test parsing without thinking tokens."""
|
|
text = "Direct answer without thinking."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.normal_text, text)
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_detect_and_parse_reasoning_only(self):
|
|
"""Test parsing when output is all reasoning (no content after </think>)."""
|
|
text = "<think>All reasoning, no answer</think>"
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "All reasoning, no answer")
|
|
self.assertEqual(result.normal_text, "")
|
|
|
|
def test_force_nonempty_content_swaps_when_no_normal_text(self):
|
|
"""Test force_nonempty_content swaps reasoning to content when content is empty."""
|
|
detector = Nemotron3Detector(force_nonempty_content=True)
|
|
text = "<think>All reasoning, no answer</think>"
|
|
result = detector.detect_and_parse(text)
|
|
self.assertEqual(result.normal_text, "All reasoning, no answer")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_force_nonempty_content_no_swap_when_normal_text_exists(self):
|
|
"""Test force_nonempty_content does not swap when content already exists."""
|
|
detector = Nemotron3Detector(force_nonempty_content=True)
|
|
text = "<think>Reasoning here</think>The answer is 42."
|
|
result = detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "Reasoning here")
|
|
self.assertEqual(result.normal_text, "The answer is 42.")
|
|
|
|
def test_force_nonempty_content_truncated_reasoning(self):
|
|
"""Test force_nonempty_content with truncated reasoning (no end token)."""
|
|
detector = Nemotron3Detector(force_nonempty_content=True)
|
|
text = "<think>Truncated reasoning without end token"
|
|
result = detector.detect_and_parse(text)
|
|
# Truncated reasoning has no normal_text, so swap should occur
|
|
self.assertEqual(result.normal_text, "Truncated reasoning without end token")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_force_nonempty_content_no_thinking_tokens(self):
|
|
"""Test force_nonempty_content with plain text (no thinking tokens)."""
|
|
detector = Nemotron3Detector(force_nonempty_content=True)
|
|
text = "Plain text without any thinking."
|
|
result = detector.detect_and_parse(text)
|
|
# Normal text already exists, no swap needed
|
|
self.assertEqual(result.normal_text, text)
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
|
|
class TestGemma4Detector(CustomTestCase):
|
|
def setUp(self):
|
|
self.detector = Gemma4Detector()
|
|
|
|
def test_init(self):
|
|
"""Test Gemma4Detector initialization."""
|
|
self.assertEqual(self.detector.think_start_token, "<|channel>")
|
|
self.assertEqual(self.detector.think_end_token, "<channel|>")
|
|
self.assertEqual(self.detector.think_start_self_label, "thought\n")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
self.assertTrue(self.detector.stream_reasoning)
|
|
|
|
def test_detect_and_parse_complete_reasoning(self):
|
|
"""Test parsing complete Gemma4 reasoning block (think_start_self_label is stripped)."""
|
|
text = "<|channel>thought\nLet me think about this<channel|>The answer is 42."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "Let me think about this")
|
|
self.assertEqual(result.normal_text, "The answer is 42.")
|
|
|
|
def test_detect_and_parse_without_thinking(self):
|
|
"""Test parsing without thinking (enable_thinking=False case)."""
|
|
text = "Direct answer without thinking."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.normal_text, text)
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_detect_and_parse_reasoning_only(self):
|
|
"""Test parsing when output is all reasoning (no end token yet)."""
|
|
text = "<|channel>thought\nStill thinking..."
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "Still thinking...")
|
|
self.assertEqual(result.normal_text, "")
|
|
|
|
def test_streaming_complete_flow(self):
|
|
"""Test streaming parse of Gemma4 reasoning flow."""
|
|
chunks = [
|
|
"<|channel>",
|
|
"thought\nreasoning content",
|
|
"<channel|>",
|
|
"final answer",
|
|
]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
result = self.detector.parse_streaming_increment(chunk)
|
|
all_reasoning += result.reasoning_text
|
|
all_normal += result.normal_text
|
|
self.assertIn("reasoning content", all_reasoning)
|
|
self.assertIn("final answer", all_normal)
|
|
|
|
def test_streaming_full_start_sequence(self):
|
|
"""Test streaming with the full start sequence (token + self_label)."""
|
|
# Gemma4 start sequence is "<|channel>thought\n", not just "<|channel>"
|
|
result = self.detector.parse_streaming_increment("<|channel>thought\n")
|
|
self.assertEqual(result.normal_text, "")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
self.assertTrue(self.detector._in_reasoning)
|
|
|
|
result = self.detector.parse_streaming_increment("reasoning content")
|
|
self.assertEqual(result.reasoning_text, "reasoning content")
|
|
self.assertEqual(result.normal_text, "")
|
|
|
|
def test_streaming_partial_start_buffered(self):
|
|
"""Test that partial start sequence is buffered."""
|
|
# "<|channel>" alone is a prefix of "<|channel>thought\n", so it's buffered
|
|
result = self.detector.parse_streaming_increment("<|channel>")
|
|
self.assertEqual(result.normal_text, "")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_streaming_end_token_mid_chunk(self):
|
|
"""Test end token arriving in the same chunk as reasoning content."""
|
|
self.detector.parse_streaming_increment("<|channel>thought\n")
|
|
result = self.detector.parse_streaming_increment(
|
|
"some reasoning<channel|>the answer"
|
|
)
|
|
self.assertEqual(result.reasoning_text, "some reasoning")
|
|
self.assertEqual(result.normal_text, "the answer")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
|
|
def test_streaming_split_end_token(self):
|
|
"""Test end token split across two chunks."""
|
|
self.detector.parse_streaming_increment("<|channel>thought\n")
|
|
self.detector.parse_streaming_increment("reasoning content")
|
|
|
|
result1 = self.detector.parse_streaming_increment("<chan")
|
|
self.assertEqual(result1.normal_text, "")
|
|
|
|
result2 = self.detector.parse_streaming_increment("nel|>final answer")
|
|
self.assertFalse(self.detector._in_reasoning)
|
|
self.assertIn("final answer", result2.normal_text)
|
|
|
|
def test_streaming_self_label_split_across_chunks(self):
|
|
"""Test self_label ('thought\\n') arriving separately from start token."""
|
|
result1 = self.detector.parse_streaming_increment("<|channel>")
|
|
self.assertEqual(result1.reasoning_text, "")
|
|
self.assertEqual(result1.normal_text, "")
|
|
|
|
result2 = self.detector.parse_streaming_increment("thought\n")
|
|
self.assertTrue(self.detector._in_reasoning)
|
|
|
|
result3 = self.detector.parse_streaming_increment("reasoning here")
|
|
self.assertEqual(result3.reasoning_text, "reasoning here")
|
|
|
|
def test_streaming_force_reasoning(self):
|
|
"""Test streaming with force_reasoning=True (no start token needed)."""
|
|
detector = Gemma4Detector(force_reasoning=True)
|
|
|
|
result1 = detector.parse_streaming_increment("reasoning content")
|
|
self.assertEqual(result1.reasoning_text, "reasoning content")
|
|
self.assertEqual(result1.normal_text, "")
|
|
|
|
result2 = detector.parse_streaming_increment("<channel|>the answer")
|
|
self.assertFalse(detector._in_reasoning)
|
|
self.assertIn("the answer", result2.normal_text)
|
|
|
|
def test_streaming_multiple_reasoning_chunks(self):
|
|
"""Test reasoning content arriving in many small chunks."""
|
|
self.detector.parse_streaming_increment("<|channel>thought\n")
|
|
|
|
all_reasoning = ""
|
|
for chunk in ["Think", "ing ", "step ", "by ", "step."]:
|
|
result = self.detector.parse_streaming_increment(chunk)
|
|
all_reasoning += result.reasoning_text
|
|
self.assertEqual(result.normal_text, "")
|
|
self.assertEqual(all_reasoning, "Thinking step by step.")
|
|
|
|
def test_force_reasoning(self):
|
|
"""Test Gemma4Detector with force_reasoning=True."""
|
|
detector = Gemma4Detector(force_reasoning=True)
|
|
text = "This should be reasoning<channel|>The answer."
|
|
result = detector.detect_and_parse(text)
|
|
self.assertEqual(result.reasoning_text, "This should be reasoning")
|
|
self.assertEqual(result.normal_text, "The answer.")
|
|
|
|
|
|
class TestReasoningParser(CustomTestCase):
|
|
def test_init_valid_model(self):
|
|
"""Test initialization with valid model types."""
|
|
parser = ReasoningParser("deepseek-r1")
|
|
self.assertIsInstance(parser.detector, DeepSeekR1Detector)
|
|
|
|
parser = ReasoningParser("qwen3")
|
|
self.assertIsInstance(parser.detector, Qwen3Detector)
|
|
|
|
parser = ReasoningParser("kimi")
|
|
self.assertIsInstance(parser.detector, KimiDetector)
|
|
|
|
parser = ReasoningParser("kimi_k2")
|
|
self.assertIsInstance(parser.detector, KimiK2Detector)
|
|
|
|
parser = ReasoningParser("glm45")
|
|
self.assertIsInstance(parser.detector, Glm45Detector)
|
|
|
|
parser = ReasoningParser("hunyuan")
|
|
self.assertIsInstance(parser.detector, HunyuanDetector)
|
|
|
|
parser = ReasoningParser("gemma4")
|
|
self.assertIsInstance(parser.detector, Gemma4Detector)
|
|
|
|
def test_init_invalid_model(self):
|
|
"""Test initialization with invalid model type."""
|
|
with self.assertRaises(ValueError) as context:
|
|
ReasoningParser("invalid-model")
|
|
self.assertIn("Unsupported model type", str(context.exception))
|
|
|
|
def test_init_no_model(self):
|
|
"""Test initialization without model type."""
|
|
with self.assertRaises(ValueError) as context:
|
|
ReasoningParser(None)
|
|
self.assertEqual(str(context.exception), "Model type must be specified")
|
|
|
|
def test_parse_non_stream(self):
|
|
"""Test non-streaming parsing."""
|
|
parser = ReasoningParser("qwen3")
|
|
reasoning, normal = parser.parse_non_stream(
|
|
"<think>Let me think</think>The answer is 42."
|
|
)
|
|
self.assertEqual(reasoning, "Let me think")
|
|
self.assertEqual(normal, "The answer is 42.")
|
|
|
|
def test_parse_non_stream_preserves_payload_whitespace(self):
|
|
"""Non-streaming parsing must not rewrite text inside or after reasoning."""
|
|
parser = ReasoningParser("qwen3")
|
|
reasoning, normal = parser.parse_non_stream(
|
|
"<think>\nLet me think\n</think>\n\nThe answer is 42.\n"
|
|
)
|
|
self.assertEqual(reasoning, "\nLet me think\n")
|
|
self.assertEqual(normal, "\n\nThe answer is 42.\n")
|
|
|
|
def test_parse_non_stream_strips_repeated_leading_start_tokens(self):
|
|
"""Repeated leading start tokens are markers, not reasoning payload."""
|
|
parser = ReasoningParser("qwen3")
|
|
reasoning, normal = parser.parse_non_stream(
|
|
"<think><think>Let me think</think>The answer is 42."
|
|
)
|
|
self.assertEqual(reasoning, "Let me think")
|
|
self.assertEqual(normal, "The answer is 42.")
|
|
|
|
def test_parse_stream_chunk_preserves_payload_whitespace(self):
|
|
"""Streaming parsing preserves the same generated payload whitespace."""
|
|
parser = ReasoningParser("qwen3")
|
|
reasoning, normal = parser.parse_stream_chunk("<think>")
|
|
self.assertEqual(reasoning, "")
|
|
self.assertEqual(normal, "")
|
|
|
|
reasoning, normal = parser.parse_stream_chunk(
|
|
"\nLet me think\n</think>\n\nThe answer is 42.\n"
|
|
)
|
|
self.assertEqual(reasoning, "\nLet me think\n")
|
|
self.assertEqual(normal, "\n\nThe answer is 42.\n")
|
|
|
|
def test_parse_stream_chunk(self):
|
|
"""Test streaming chunk parsing."""
|
|
parser = ReasoningParser("qwen3")
|
|
|
|
# First chunk with start token
|
|
reasoning, normal = parser.parse_stream_chunk("<think>")
|
|
self.assertEqual(reasoning, "")
|
|
self.assertEqual(normal, "")
|
|
|
|
# Second chunk with reasoning content
|
|
reasoning, normal = parser.parse_stream_chunk("thinking...")
|
|
self.assertEqual(reasoning, "thinking...")
|
|
self.assertEqual(normal, "")
|
|
|
|
# Third chunk with end token and normal text
|
|
reasoning, normal = parser.parse_stream_chunk("</think>answer")
|
|
self.assertEqual(reasoning, "") # Buffer cleared when end token processed
|
|
self.assertEqual(normal, "answer")
|
|
|
|
def test_case_insensitive_model_type(self):
|
|
"""Test case insensitive model type matching."""
|
|
parser1 = ReasoningParser("DeepSeek-R1")
|
|
parser2 = ReasoningParser("QWEN3")
|
|
parser3 = ReasoningParser("Kimi")
|
|
|
|
self.assertIsInstance(parser1.detector, DeepSeekR1Detector)
|
|
self.assertIsInstance(parser2.detector, Qwen3Detector)
|
|
self.assertIsInstance(parser3.detector, KimiDetector)
|
|
|
|
def test_stream_reasoning_parameter(self):
|
|
"""Test stream_reasoning parameter is passed correctly."""
|
|
parser = ReasoningParser("qwen3", stream_reasoning=False)
|
|
self.assertFalse(parser.detector.stream_reasoning)
|
|
|
|
parser = ReasoningParser("qwen3", stream_reasoning=True)
|
|
self.assertTrue(parser.detector.stream_reasoning)
|
|
|
|
def test_glm45_tool_interruption(self):
|
|
"""Test GLM45 tool interruption through ReasoningParser API."""
|
|
parser = ReasoningParser("glm45")
|
|
|
|
# Non-streaming: tool interrupt
|
|
reasoning, normal = parser.parse_non_stream(
|
|
"<think>thinking<tool_call>tool call"
|
|
)
|
|
self.assertEqual(reasoning, "thinking")
|
|
self.assertEqual(normal, "<tool_call>tool call")
|
|
|
|
# Streaming: tool interrupt
|
|
parser = ReasoningParser("glm45")
|
|
chunks = ["<think>", "reasoning", "<tool_call>", "tool args"]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
if reasoning:
|
|
all_reasoning += reasoning
|
|
if normal:
|
|
all_normal += normal
|
|
|
|
self.assertEqual(all_reasoning, "reasoning")
|
|
self.assertEqual(all_normal, "<tool_call>tool args")
|
|
|
|
def test_kimik2_tool_interruption(self):
|
|
"""Test Kimi-K2 tool interruption through ReasoningParser API."""
|
|
parser = ReasoningParser("kimi_k2")
|
|
|
|
# Non-streaming: tool interrupt
|
|
reasoning, normal = parser.parse_non_stream(
|
|
"<think>thinking<|tool_calls_section_begin|><|tool_call_begin|>"
|
|
)
|
|
self.assertEqual(reasoning, "thinking")
|
|
self.assertEqual(normal, "<|tool_calls_section_begin|><|tool_call_begin|>")
|
|
|
|
# Streaming: tool interrupt
|
|
parser = ReasoningParser("kimi_k2")
|
|
chunks = [
|
|
"<think>",
|
|
"reasoning",
|
|
"<|tool_calls_section_begin|>",
|
|
"<|tool_call_begin|>",
|
|
]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
if reasoning:
|
|
all_reasoning += reasoning
|
|
if normal:
|
|
all_normal += normal
|
|
|
|
self.assertEqual(all_reasoning, "reasoning")
|
|
self.assertEqual(all_normal, "<|tool_calls_section_begin|><|tool_call_begin|>")
|
|
|
|
|
|
class TestIntegrationScenarios(CustomTestCase):
|
|
"""Integration tests for realistic usage scenarios."""
|
|
|
|
def test_deepseek_r1_complete_response(self):
|
|
"""Test complete DeepSeek-R1 response parsing."""
|
|
parser = ReasoningParser("deepseek-r1")
|
|
text = "I need to solve this step by step. First, I'll analyze the problem. The given equation is x + 2 = 5. To solve for x, I subtract 2 from both sides: x = 5 - 2 = 3.</think>The answer is x = 3."
|
|
|
|
reasoning, normal = parser.parse_non_stream(text)
|
|
self.assertIn("step by step", reasoning)
|
|
self.assertIn(
|
|
"= 3", reasoning
|
|
) # The reasoning contains "x = 5 - 2 = 3" which has "= 3"
|
|
self.assertEqual(normal, "The answer is x = 3.")
|
|
|
|
def test_qwen3_streaming_scenario(self):
|
|
"""Test Qwen3 streaming scenario."""
|
|
parser = ReasoningParser("qwen3")
|
|
|
|
chunks = [
|
|
"<think>",
|
|
"Let me analyze this problem.",
|
|
" I need to consider multiple factors.",
|
|
"</think>",
|
|
"Based on my analysis, the solution is to use a different approach.",
|
|
]
|
|
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
all_reasoning += reasoning
|
|
all_normal += normal
|
|
|
|
self.assertIn("analyze", all_reasoning)
|
|
self.assertIn("multiple factors", all_reasoning)
|
|
self.assertIn("different approach", all_normal)
|
|
|
|
def test_kimi_streaming_scenario(self):
|
|
"""Test Kimi streaming scenario."""
|
|
parser = ReasoningParser("kimi")
|
|
chunks = [
|
|
"◁thi",
|
|
"nk▷",
|
|
"Let me analyze this problem.",
|
|
" I need to consider multiple factors.",
|
|
"◁/th",
|
|
"ink▷",
|
|
"The answer is 42.",
|
|
]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
all_reasoning += reasoning
|
|
all_normal += normal
|
|
|
|
self.assertIn("analyze", all_reasoning)
|
|
self.assertIn("multiple factors", all_reasoning)
|
|
self.assertIn("42", all_normal)
|
|
|
|
def test_gemma4_complete_response(self):
|
|
"""Test complete Gemma4 response parsing (think_start_self_label stripped)."""
|
|
parser = ReasoningParser("gemma4")
|
|
text = "<|channel>thought\nI need to solve x + 2 = 5. Subtracting 2: x = 3.<channel|>The answer is x = 3."
|
|
reasoning, normal = parser.parse_non_stream(text)
|
|
self.assertIn("x = 3", reasoning)
|
|
self.assertNotIn("thought\n", reasoning)
|
|
self.assertEqual(normal, "The answer is x = 3.")
|
|
|
|
def test_gemma4_streaming_scenario(self):
|
|
"""Test Gemma4 streaming scenario."""
|
|
parser = ReasoningParser("gemma4")
|
|
chunks = [
|
|
"<|channel>",
|
|
"thought\nLet me analyze.",
|
|
" Multiple factors.",
|
|
"<channel|>",
|
|
"The solution is 42.",
|
|
]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
all_reasoning += reasoning
|
|
all_normal += normal
|
|
self.assertIn("analyze", all_reasoning)
|
|
self.assertIn("Multiple factors", all_reasoning)
|
|
self.assertIn("42", all_normal)
|
|
|
|
def test_empty_reasoning_blocks(self):
|
|
"""Test handling of empty reasoning blocks."""
|
|
parser = ReasoningParser("qwen3")
|
|
text = "<think></think>Just the answer."
|
|
|
|
reasoning, normal = parser.parse_non_stream(text)
|
|
self.assertEqual(reasoning, "")
|
|
self.assertEqual(normal, "Just the answer.")
|
|
|
|
def test_qwen3_forced_reasoning_complete_response(self):
|
|
"""Test complete Qwen3-ForcedReasoning response parsing."""
|
|
parser = ReasoningParser("qwen3", force_reasoning=True)
|
|
text = "Let me solve this step by step. The equation is x + 2 = 5. Subtracting 2 from both sides gives x = 3.</think>The solution is x = 3."
|
|
|
|
reasoning, normal = parser.parse_non_stream(text)
|
|
self.assertIn("step by step", reasoning)
|
|
self.assertIn("x = 3", reasoning)
|
|
self.assertEqual(normal, "The solution is x = 3.")
|
|
|
|
def test_qwen3_forced_reasoning_streaming_scenario(self):
|
|
"""Test Qwen3-ForcedReasoning streaming scenario."""
|
|
parser = ReasoningParser("qwen3", force_reasoning=True)
|
|
|
|
chunks = [
|
|
"I need to analyze",
|
|
" this problem carefully.",
|
|
" Let me break it down.",
|
|
"</think>",
|
|
"The final answer is 42.",
|
|
]
|
|
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
|
|
for chunk in chunks:
|
|
reasoning, normal = parser.parse_stream_chunk(chunk)
|
|
all_reasoning += reasoning
|
|
all_normal += normal
|
|
|
|
self.assertIn("analyze", all_reasoning)
|
|
self.assertIn("break it down", all_reasoning)
|
|
self.assertIn("final answer", all_normal)
|
|
|
|
|
|
class TestBufferLossBugFix(CustomTestCase):
|
|
"""Test cases for the buffer loss bug fix in parse_streaming_increment."""
|
|
|
|
def test_partial_end_tag_buffer_loss_bug(self):
|
|
"""
|
|
Test the bug where partial end tag fragments are lost when followed by normal text.
|
|
|
|
Bug scenario:
|
|
1. _in_reasoning is False
|
|
2. new_text is "</" (part of closing thinking tag)
|
|
3. Fragment is stored in buffer and empty string is returned
|
|
4. Next step: new_text is "answer", _in_reasoning still False
|
|
5. Buffer is cleared and "answer" is returned directly
|
|
6. The "</" from previous step is lost
|
|
|
|
This test verifies the fix where the return was changed from:
|
|
return StreamingParseResult(normal_text=new_text)
|
|
to:
|
|
return StreamingParseResult(normal_text=current_text)
|
|
"""
|
|
detector = BaseReasoningFormatDetector("<think>", "</think>")
|
|
|
|
# Step 1: Send partial end tag when not in reasoning mode
|
|
# This should be buffered since it could be start of "</think>"
|
|
result1 = detector.parse_streaming_increment("</")
|
|
self.assertEqual(result1.normal_text, "")
|
|
self.assertEqual(result1.reasoning_text, "")
|
|
|
|
# Step 2: Send normal text that doesn't complete the end tag
|
|
# Before fix: would return only "answer", losing the "</"
|
|
# After fix: should return the complete buffered content "</answer"
|
|
result2 = detector.parse_streaming_increment("answer")
|
|
self.assertEqual(result2.normal_text, "</answer")
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
|
|
def test_partial_start_tag_buffer_preservation(self):
|
|
"""
|
|
Test that partial start tag fragments are properly preserved.
|
|
"""
|
|
detector = BaseReasoningFormatDetector("<think>", "</think>")
|
|
|
|
# Send partial start tag
|
|
result1 = detector.parse_streaming_increment("<th")
|
|
self.assertEqual(result1.normal_text, "")
|
|
self.assertEqual(result1.reasoning_text, "")
|
|
|
|
# Complete with non-matching text
|
|
result2 = detector.parse_streaming_increment("is is text")
|
|
self.assertEqual(result2.normal_text, "<this is text")
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
|
|
def test_partial_end_tag_in_reasoning_mode(self):
|
|
"""
|
|
Test partial end tag handling when already in reasoning mode.
|
|
"""
|
|
detector = BaseReasoningFormatDetector("<think>", "</think>")
|
|
|
|
# Enter reasoning mode
|
|
detector.parse_streaming_increment("<think>")
|
|
detector.parse_streaming_increment("some reasoning")
|
|
|
|
# Send partial end tag
|
|
result1 = detector.parse_streaming_increment("</")
|
|
self.assertEqual(result1.normal_text, "")
|
|
self.assertEqual(result1.reasoning_text, "")
|
|
|
|
# Complete the end tag with normal text
|
|
result2 = detector.parse_streaming_increment("think>normal text")
|
|
self.assertEqual(result2.normal_text, "normal text")
|
|
# The reasoning text should be empty since buffer was cleared when end tag was processed
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
|
|
def test_multiple_partial_fragments(self):
|
|
"""
|
|
Test handling of multiple partial fragments that don't match any tokens.
|
|
"""
|
|
detector = BaseReasoningFormatDetector("<think>", "</think>")
|
|
|
|
# Send multiple partial fragments
|
|
result1 = detector.parse_streaming_increment("<")
|
|
self.assertEqual(result1.normal_text, "")
|
|
self.assertEqual(result1.reasoning_text, "")
|
|
|
|
result2 = detector.parse_streaming_increment("/")
|
|
self.assertEqual(result2.normal_text, "")
|
|
self.assertEqual(result2.reasoning_text, "")
|
|
|
|
result3 = detector.parse_streaming_increment("random>")
|
|
self.assertEqual(result3.normal_text, "</random>")
|
|
self.assertEqual(result3.reasoning_text, "")
|
|
|
|
def test_edge_case_exact_token_match(self):
|
|
"""
|
|
Test edge case where buffer content exactly matches a token.
|
|
"""
|
|
detector = BaseReasoningFormatDetector("<think>", "</think>")
|
|
|
|
# Build up the exact start token character by character
|
|
detector.parse_streaming_increment("<")
|
|
detector.parse_streaming_increment("t")
|
|
detector.parse_streaming_increment("h")
|
|
detector.parse_streaming_increment("i")
|
|
detector.parse_streaming_increment("n")
|
|
result = detector.parse_streaming_increment("k>")
|
|
|
|
# Should enter reasoning mode
|
|
self.assertEqual(result.normal_text, "")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
self.assertTrue(detector._in_reasoning)
|
|
self.assertTrue(detector.stripped_think_start)
|
|
|
|
|
|
class TestGptOssDetector(CustomTestCase):
|
|
"""Test cases for GptOssDetector which delegates to HarmonyParser."""
|
|
|
|
def setUp(self):
|
|
from sglang.srt.parser.reasoning_parser import GptOssDetector
|
|
|
|
self.detector = GptOssDetector()
|
|
|
|
def test_detect_and_parse_with_analysis_and_final(self):
|
|
"""Test one-shot parsing with analysis (reasoning) and final (normal) blocks."""
|
|
text = "<|start|><|channel|>analysis<|message|>thinking hard<|end|><|channel|>final<|message|>the answer<|end|>"
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertIn("thinking hard", result.reasoning_text)
|
|
self.assertIn("the answer", result.normal_text)
|
|
|
|
def test_detect_and_parse_normal_only(self):
|
|
"""Test one-shot parsing with only final block."""
|
|
text = "<|start|><|channel|>final<|message|>just the answer<|end|>"
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertIn("just the answer", result.normal_text)
|
|
|
|
def test_streaming_analysis_then_final(self):
|
|
"""Test streaming parse across multiple chunks."""
|
|
chunks = [
|
|
"<|start|><|channel|>analysis<|message|>",
|
|
"reasoning part",
|
|
"<|end|>",
|
|
"<|channel|>final<|message|>answer",
|
|
"<|end|>",
|
|
]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
result = self.detector.parse_streaming_increment(chunk)
|
|
all_reasoning += result.reasoning_text
|
|
all_normal += result.normal_text
|
|
self.assertIn("reasoning part", all_reasoning)
|
|
self.assertIn("answer", all_normal)
|
|
|
|
def test_streaming_with_tool_call(self):
|
|
"""Test streaming parse with tool call events."""
|
|
text = "<|start|><|channel|>analysis<|message|>think<|end|><|call|>tool_data<|return|><|channel|>final<|message|>result<|end|>"
|
|
result = self.detector.detect_and_parse(text)
|
|
self.assertIn("think", result.reasoning_text)
|
|
self.assertIn("result", result.normal_text)
|
|
|
|
|
|
class TestMiniMaxAppendThinkDetector(CustomTestCase):
|
|
"""Test cases for MiniMaxAppendThinkDetector."""
|
|
|
|
def setUp(self):
|
|
from sglang.srt.parser.reasoning_parser import MiniMaxAppendThinkDetector
|
|
|
|
self.detector = MiniMaxAppendThinkDetector()
|
|
|
|
def test_detect_and_parse_prepends_think(self):
|
|
"""Test that detect_and_parse prepends <think> to the text."""
|
|
result = self.detector.detect_and_parse("Hello world")
|
|
self.assertEqual(result.normal_text, "<think>Hello world")
|
|
|
|
def test_streaming_first_chunk_prepends_think(self):
|
|
"""Test that first streaming chunk gets <think> prepended."""
|
|
result = self.detector.parse_streaming_increment("First chunk")
|
|
self.assertEqual(result.normal_text, "<think>First chunk")
|
|
|
|
def test_streaming_second_chunk_no_prepend(self):
|
|
"""Test that subsequent streaming chunks are passed through."""
|
|
self.detector.parse_streaming_increment("First")
|
|
result = self.detector.parse_streaming_increment("Second")
|
|
self.assertEqual(result.normal_text, "Second")
|
|
|
|
|
|
class TestReasoningParserAdvanced(CustomTestCase):
|
|
"""Additional tests for ReasoningParser init edge cases."""
|
|
|
|
def test_gpt_oss_model_type(self):
|
|
"""Test that gpt-oss model type creates GptOssDetector."""
|
|
from sglang.srt.parser.reasoning_parser import GptOssDetector
|
|
|
|
parser = ReasoningParser("gpt-oss")
|
|
self.assertIsInstance(parser.detector, GptOssDetector)
|
|
|
|
def test_minimax_append_think_model_type(self):
|
|
"""Test that minimax-append-think creates MiniMaxAppendThinkDetector."""
|
|
from sglang.srt.parser.reasoning_parser import MiniMaxAppendThinkDetector
|
|
|
|
parser = ReasoningParser("minimax-append-think")
|
|
self.assertIsInstance(parser.detector, MiniMaxAppendThinkDetector)
|
|
|
|
def test_qwen3_thinking_forces_reasoning(self):
|
|
"""Test that qwen3-thinking model type forces reasoning mode."""
|
|
parser = ReasoningParser("qwen3-thinking")
|
|
self.assertTrue(parser.detector._in_reasoning)
|
|
|
|
def test_minimax_forces_reasoning(self):
|
|
"""Test that minimax model type forces reasoning mode.
|
|
|
|
minimax maps to Qwen3Detector but ReasoningParser overrides
|
|
force_reasoning=True, unlike the default Qwen3Detector behavior.
|
|
"""
|
|
parser = ReasoningParser("minimax")
|
|
self.assertIsInstance(parser.detector, Qwen3Detector)
|
|
self.assertTrue(parser.detector._in_reasoning)
|
|
|
|
def test_detector_map_aliases(self):
|
|
"""Test that all DetectorMap alias keys create the correct detector type."""
|
|
# These are aliases that map to existing detector classes
|
|
alias_tests = {
|
|
"deepseek-v3": Qwen3Detector,
|
|
"step3": DeepSeekR1Detector,
|
|
"step3p5": DeepSeekR1Detector,
|
|
"interns1": Qwen3Detector,
|
|
}
|
|
for model_type, expected_class in alias_tests.items():
|
|
parser = ReasoningParser(model_type)
|
|
self.assertIsInstance(
|
|
parser.detector,
|
|
expected_class,
|
|
f"{model_type} should create {expected_class.__name__}",
|
|
)
|
|
|
|
def test_continue_final_message_with_request(self):
|
|
"""Test continue_final_message passes previous content to detector."""
|
|
from sglang.srt.entrypoints.openai.protocol import (
|
|
ChatCompletionMessageGenericParam,
|
|
ChatCompletionMessageUserParam,
|
|
ChatCompletionRequest,
|
|
)
|
|
|
|
request = ChatCompletionRequest(
|
|
model="test",
|
|
messages=[
|
|
ChatCompletionMessageUserParam(role="user", content="Hi"),
|
|
ChatCompletionMessageGenericParam(
|
|
role="assistant", content="Let me think..."
|
|
),
|
|
],
|
|
continue_final_message=True,
|
|
)
|
|
parser = ReasoningParser("qwen3", request=request)
|
|
self.assertTrue(parser.detector.continue_final_message)
|
|
|
|
def test_force_nonempty_content_via_chat_template_kwargs(self):
|
|
"""Test that force_nonempty_content is passed via chat_template_kwargs."""
|
|
from sglang.srt.entrypoints.openai.protocol import (
|
|
ChatCompletionMessageUserParam,
|
|
ChatCompletionRequest,
|
|
)
|
|
|
|
request = ChatCompletionRequest(
|
|
model="test",
|
|
messages=[
|
|
ChatCompletionMessageUserParam(role="user", content="Hi"),
|
|
],
|
|
chat_template_kwargs={"force_nonempty_content": True},
|
|
)
|
|
parser = ReasoningParser("nemotron_3", request=request)
|
|
self.assertTrue(parser.detector._force_nonempty_content)
|
|
|
|
|
|
class TestContinueFinalMessage(CustomTestCase):
|
|
"""Test continue_final_message mode for BaseReasoningFormatDetector."""
|
|
|
|
def test_continue_with_think_start_in_previous(self):
|
|
"""Test that previous_content with <think> sets _in_reasoning=True."""
|
|
detector = BaseReasoningFormatDetector(
|
|
"<think>",
|
|
"</think>",
|
|
force_reasoning=False,
|
|
continue_final_message=True,
|
|
previous_content="<think>some reasoning",
|
|
)
|
|
self.assertTrue(detector._in_reasoning)
|
|
self.assertEqual(detector.previous_count, len("<think>some reasoning"))
|
|
|
|
def test_continue_with_think_end_in_previous(self):
|
|
"""Test that previous_content with </think> sets _in_reasoning=False."""
|
|
detector = BaseReasoningFormatDetector(
|
|
"<think>",
|
|
"</think>",
|
|
force_reasoning=True,
|
|
continue_final_message=True,
|
|
previous_content="<think>done</think>normal",
|
|
)
|
|
# think_end_token in previous → _in_reasoning = False
|
|
self.assertFalse(detector._in_reasoning)
|
|
|
|
def test_continue_detect_parse_with_end_in_previous(self):
|
|
"""Test detect_and_parse when think_end_token is in previous_content only.
|
|
This covers the branch where think_end is NOT in current text
|
|
but IS in previous_content, so output is treated as normal_text."""
|
|
detector = BaseReasoningFormatDetector(
|
|
"<think>",
|
|
"</think>",
|
|
force_reasoning=True,
|
|
continue_final_message=True,
|
|
previous_content="<think>reasoning</think>",
|
|
)
|
|
# _in_reasoning is False (think_end in previous)
|
|
# But force_reasoning was True → detect_and_parse still enters the
|
|
# reasoning path because think_start is in previous_content.
|
|
# However, since _in_reasoning=False and no think_start in new text,
|
|
# it returns normal_text directly.
|
|
result = detector.detect_and_parse("new content here")
|
|
self.assertEqual(result.normal_text, "new content here")
|
|
|
|
def test_continue_end_in_previous_new_text_has_start_but_no_end(self):
|
|
"""Test: think_end in previous, new text has think_start but no think_end.
|
|
This produces: in_reasoning=True (from think_start in text),
|
|
think_end NOT in processed_text, think_end IN previous_content,
|
|
so it falls through to the else branch that returns normal_text."""
|
|
detector = BaseReasoningFormatDetector(
|
|
"<think>",
|
|
"</think>",
|
|
force_reasoning=False,
|
|
continue_final_message=True,
|
|
previous_content="earlier <think>old</think>old answer",
|
|
)
|
|
# _in_reasoning = False (think_end in previous overrides)
|
|
self.assertFalse(detector._in_reasoning)
|
|
# New text has <think> (triggers in_reasoning) but no </think>
|
|
# think_end IS in previous_content → skips the truncated-reasoning branch
|
|
# think_end NOT in processed_text → falls to else that returns normal_text
|
|
result = detector.detect_and_parse("<think>continuing reasoning")
|
|
self.assertEqual(result.normal_text, "continuing reasoning")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
|
|
def test_continue_detect_parse_think_start_in_prev_but_end_also_in_prev(self):
|
|
"""Test detect_and_parse where both think tokens are in previous,
|
|
and new text contains <think> to re-enter reasoning."""
|
|
detector = BaseReasoningFormatDetector(
|
|
"<think>",
|
|
"</think>",
|
|
force_reasoning=False,
|
|
continue_final_message=True,
|
|
previous_content="<think>old reasoning</think>old answer",
|
|
)
|
|
# _in_reasoning = False (end token in previous overrides start)
|
|
self.assertFalse(detector._in_reasoning)
|
|
# New text starts a fresh reasoning block
|
|
result = detector.detect_and_parse("<think>new reasoning</think>new answer")
|
|
self.assertEqual(result.reasoning_text, "new reasoning")
|
|
self.assertEqual(result.normal_text, "new answer")
|
|
|
|
def test_streaming_returns_empty_when_in_reasoning_and_end_buffered(self):
|
|
"""Test that streaming returns empty when buffer could be partial end token."""
|
|
detector = BaseReasoningFormatDetector(
|
|
"<think>", "</think>", force_reasoning=True, stream_reasoning=True
|
|
)
|
|
# In reasoning mode, send partial end token
|
|
result = detector.parse_streaming_increment("</")
|
|
self.assertEqual(result.reasoning_text, "")
|
|
self.assertEqual(result.normal_text, "")
|
|
# This goes through the path where _in_reasoning is True but buffer
|
|
# is a prefix of think_end_token → returns empty
|
|
|
|
|
|
class TestGptOssDetectorToolCall(CustomTestCase):
|
|
"""Test GptOssDetector tool_call raw_text handling."""
|
|
|
|
def test_detect_and_parse_tool_call_raw_text(self):
|
|
"""Test that tool_call events use raw_text when available."""
|
|
from sglang.srt.parser.reasoning_parser import GptOssDetector
|
|
|
|
detector = GptOssDetector()
|
|
# Sequence with CALL...RETURN that produces tool_call events with raw_text
|
|
text = (
|
|
"<|start|><|channel|>analysis<|message|>think<|end|>"
|
|
"<|call|>function_data<|return|>"
|
|
"<|channel|>final<|message|>result<|end|>"
|
|
)
|
|
result = detector.detect_and_parse(text)
|
|
self.assertIn("think", result.reasoning_text)
|
|
# Tool call raw_text and/or final result should be in normal_text
|
|
self.assertIn("result", result.normal_text)
|
|
|
|
def test_streaming_tool_call_raw_text(self):
|
|
"""Test streaming parse with tool_call events preserving raw_text."""
|
|
from sglang.srt.parser.reasoning_parser import GptOssDetector
|
|
|
|
detector = GptOssDetector()
|
|
chunks = [
|
|
"<|start|><|channel|>analysis<|message|>reason<|end|>",
|
|
"<|call|>tool_payload<|return|>",
|
|
"<|channel|>final<|message|>done<|end|>",
|
|
]
|
|
all_reasoning = ""
|
|
all_normal = ""
|
|
for chunk in chunks:
|
|
result = detector.parse_streaming_increment(chunk)
|
|
all_reasoning += result.reasoning_text
|
|
all_normal += result.normal_text
|
|
self.assertIn("reason", all_reasoning)
|
|
self.assertIn("done", all_normal)
|
|
|
|
|
|
class TestPoolsideV1Registered(CustomTestCase):
|
|
"""poolside_v1 (Laguna-XS.2) reuses the Qwen3 `<think>...</think>` envelope.
|
|
Request dispatch differs (Mimo-style explicit `enable_thinking=True`,
|
|
asserted in test_serving_chat.py), driven by
|
|
`reasoning_default = "explicit_enable_thinking"` on the detector."""
|
|
|
|
def test_registered_to_qwen3_subclass(self):
|
|
cls = ReasoningParser.DetectorMap["poolside_v1"]
|
|
self.assertTrue(issubclass(cls, Qwen3Detector))
|
|
|
|
def test_explicit_enable_thinking_default(self):
|
|
rp = ReasoningParser("poolside_v1", stream_reasoning=True)
|
|
self.assertEqual(rp.detector.reasoning_default, "explicit_enable_thinking")
|
|
self.assertTrue(rp.detector.thinks_internally)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|