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* add model status in vl
* add x1 parser
* add model_status
* fix parser
* fix parser
* fix parser
* fix parser
* Revert "fix parser"
This reverts commit 300f446d8a.
* fix parser
* fix
* fix
* fix
* fix
* fix parser
* fix unit test
* fix unit test
* add unit test
* fix
* fix
* add unit test
* fix unit test
* add unit test
* add unit test
* fix unit test
* fix unit test
* fix bug
* fix unit test
* x1 tool parser
* fix unit test
* fix unit test
* fix unit test
* fix n
* fix unit test
* add unit test
* add unit test
* remove pring
136 lines
4.4 KiB
Python
136 lines
4.4 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import unittest
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from fastdeploy.entrypoints.openai.protocol import ChatCompletionRequest
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from fastdeploy.reasoning.ernie_vl_reasoning_parsers import ErnieVLReasoningParser
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class MockTokenizer:
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"""Minimal tokenizer with vocab for testing."""
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def __init__(self):
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self.vocab = {
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"<think>": 100,
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"</think>": 101,
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}
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def get_vocab(self):
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"""Return vocab dict for testing."""
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return self.vocab
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class TestErnieVLReasoningParser(unittest.TestCase):
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def setUp(self):
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self.parser = ErnieVLReasoningParser(MockTokenizer())
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self.request = ChatCompletionRequest(model="test", messages=[{"role": "user", "content": "test message"}])
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self.tokenizer = MockTokenizer()
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def test_get_model_status(self):
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status = self.parser.get_model_status([1, 2, 100])
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self.assertEqual(status, "think_start")
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status = self.parser.get_model_status([1, 2, 101])
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self.assertEqual(status, "think_end")
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status = self.parser.get_model_status([1])
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self.assertEqual(status, "think_start")
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def test_streaming_thinking_content(self):
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msg = self.parser.extract_reasoning_content_streaming(
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previous_text="",
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current_text="a",
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delta_text="a",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[200],
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model_status="think_start",
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)
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self.assertEqual(msg.reasoning_content, "a")
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msg = self.parser.extract_reasoning_content_streaming(
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previous_text="",
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current_text="a</think>b",
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delta_text="a</think>b",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[100, 101, 102],
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model_status="think_start",
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)
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self.assertEqual(msg.reasoning_content, "a")
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self.assertEqual(msg.content, "b")
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msg = self.parser.extract_reasoning_content_streaming(
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previous_text="a</think>",
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current_text="a</think>b",
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delta_text="b",
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previous_token_ids=[1, 101],
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current_token_ids=[],
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delta_token_ids=[102],
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model_status="think_start",
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)
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self.assertEqual(msg.content, "b")
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msg = self.parser.extract_reasoning_content_streaming(
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previous_text="",
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current_text="a",
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delta_text="a",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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model_status="think_start",
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)
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self.assertEqual(msg.reasoning_content, "a")
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msg = self.parser.extract_reasoning_content_streaming(
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previous_text="",
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current_text="a",
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delta_text="a",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[200],
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model_status="think_end",
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)
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self.assertEqual(msg.content, "a")
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def test_none_streaming_thinking_content(self):
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reasoning_content, content = self.parser.extract_reasoning_content(
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model_output="a",
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request={},
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model_status="think_start",
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)
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self.assertEqual(reasoning_content, "")
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self.assertEqual(content, "a")
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reasoning_content, content = self.parser.extract_reasoning_content(
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model_output="a</think>b",
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request={},
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model_status="think_start",
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)
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self.assertEqual(reasoning_content, "a")
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self.assertEqual(content, "b")
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reasoning_content, content = self.parser.extract_reasoning_content(
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model_output="a",
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request={},
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model_status="think_end",
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)
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self.assertEqual(reasoning_content, "")
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self.assertEqual(content, "a")
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if __name__ == "__main__":
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unittest.main()
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