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- 新增 Antigravity 服务:签名缓存、URL 可用性检测、信封处理 - 新增 Codex 服务:信封处理、元数据收集器 - 重构 provider transport 支持新的服务架构 - 新增 stream_bridge 和 upstream_stream_bridge 处理流式响应 - 优化 OAuth 工具函数 - 添加相关测试用例
171 lines
8.2 KiB
Python
171 lines
8.2 KiB
Python
"""
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ErrorClassifier Thinking 错误模式测试
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测试 ErrorClassifier 对 Thinking 相关错误的识别:
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- 签名验证失败
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- 结构错误(缺少 thinking 块前缀)
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"""
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from unittest.mock import MagicMock
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import pytest
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from src.services.orchestration.error_classifier import ErrorClassifier
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class TestThinkingErrorPatterns:
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"""测试 Thinking 错误模式匹配"""
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@pytest.fixture
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def classifier(self) -> ErrorClassifier:
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mock_db = MagicMock()
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return ErrorClassifier(db=mock_db)
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# === 签名错误测试 ===
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def test_detect_invalid_signature_with_backticks(self, classifier: ErrorClassifier) -> None:
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"""检测带反引号的签名错误"""
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error = '{"error": {"message": "invalid `signature` in `thinking` block"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_invalid_signature_without_backticks(self, classifier: ErrorClassifier) -> None:
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"""检测不带反引号的签名错误"""
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error = '{"error": {"message": "invalid signature in thinking block"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_signature_field_required(self, classifier: ErrorClassifier) -> None:
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"""检测签名字段缺失错误"""
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error = '{"error": {"message": "thinking.signature: field required"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_signature_path_pattern(self, classifier: ErrorClassifier) -> None:
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"""检测签名路径模式(如 messages.0.content.0.thinking.signature)"""
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error = '{"error": {"message": "messages.0.content.0.thinking.signature: invalid"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_signature_verification_failed(self, classifier: ErrorClassifier) -> None:
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"""检测签名验证失败"""
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error = '{"error": {"message": "signature verification failed"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_thought_signature_patterns(self, classifier: ErrorClassifier) -> None:
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"""检测 Antigravity/Gemini thoughtSignature 相关错误"""
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error = '{"error": {"message": "invalid thoughtSignature in thought part"}}'
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assert classifier._is_thinking_error(error) is True
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error2 = '{"error": {"message": "thought_signature verification failed"}}'
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assert classifier._is_thinking_error(error2) is True
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# === 结构错误测试 ===
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def test_detect_must_start_with_thinking_block(self, classifier: ErrorClassifier) -> None:
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"""检测必须以 thinking 块开头的错误"""
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error = '{"error": {"message": "content must start with a thinking block"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_thinking_or_redacted(self, classifier: ErrorClassifier) -> None:
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"""检测期望 thinking 或 redacted_thinking 的错误"""
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error = '{"error": {"message": "expected thinking or redacted_thinking"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_thinking_with_backticks(self, classifier: ErrorClassifier) -> None:
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"""检测带反引号的 expected thinking 错误"""
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error = '{"error": {"message": "expected `thinking`"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_thinking_found_tool_use(self, classifier: ErrorClassifier) -> None:
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"""检测 expected thinking, found xxx 错误(统一模式匹配)"""
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error = '{"error": {"message": "expected thinking, found tool_use"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_thinking_found_tool_use_backticks(
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self, classifier: ErrorClassifier
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) -> None:
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"""检测带反引号的 expected `thinking`, found xxx 错误"""
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error = '{"error": {"message": "expected `thinking`, found `tool_use`"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_thinking_found_text(self, classifier: ErrorClassifier) -> None:
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"""检测 expected thinking, found text 错误"""
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error = '{"error": {"message": "expected thinking, found text"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_thinking_found_text_backticks(
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self, classifier: ErrorClassifier
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) -> None:
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"""检测带反引号的 expected `thinking`, found text 错误"""
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error = '{"error": {"message": "expected `thinking`, found `text`"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_redacted_thinking(self, classifier: ErrorClassifier) -> None:
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"""检测 expected redacted_thinking 错误"""
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error = '{"error": {"message": "expected redacted_thinking, found text"}}'
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assert classifier._is_thinking_error(error) is True
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def test_detect_expected_redacted_thinking_backticks(self, classifier: ErrorClassifier) -> None:
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"""检测带反引号的 expected redacted_thinking 错误"""
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error = '{"error": {"message": "expected `redacted_thinking`, found `text`"}}'
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assert classifier._is_thinking_error(error) is True
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# === 真实错误响应测试 ===
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def test_real_claude_signature_error(self, classifier: ErrorClassifier) -> None:
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"""测试真实的 Claude 签名错误响应"""
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error = """{
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"type": "error",
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"error": {
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"type": "invalid_request_error",
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"message": "messages.2.content.0: invalid `signature` in `thinking` block: signature is for a different request"
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}
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}"""
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assert classifier._is_thinking_error(error) is True
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def test_real_claude_structure_error(self, classifier: ErrorClassifier) -> None:
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"""测试真实的 Claude 结构错误响应"""
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error = """{
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"type": "error",
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"error": {
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"type": "invalid_request_error",
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"message": "messages.1.content: when `thinking` is enabled, the first content block in an assistant turn containing `tool_use` blocks must start with a `thinking` or `redacted_thinking` block. expected thinking or redacted_thinking, found tool_use."
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}
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}"""
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assert classifier._is_thinking_error(error) is True
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# === 负面测试 ===
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def test_not_thinking_error_rate_limit(self, classifier: ErrorClassifier) -> None:
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"""速率限制错误不应被识别为 thinking 错误"""
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error = '{"error": {"message": "rate limit exceeded"}}'
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assert classifier._is_thinking_error(error) is False
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def test_not_thinking_error_invalid_api_key(self, classifier: ErrorClassifier) -> None:
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"""API Key 错误不应被识别为 thinking 错误"""
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error = '{"error": {"message": "invalid api key"}}'
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assert classifier._is_thinking_error(error) is False
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def test_not_thinking_error_model_not_found(self, classifier: ErrorClassifier) -> None:
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"""模型不存在错误不应被识别为 thinking 错误"""
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error = '{"error": {"message": "model not found"}}'
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assert classifier._is_thinking_error(error) is False
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def test_not_thinking_error_empty(self, classifier: ErrorClassifier) -> None:
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"""空错误文本不应被识别为 thinking 错误"""
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assert classifier._is_thinking_error("") is False
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assert classifier._is_thinking_error(None) is False
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def test_not_thinking_error_generic_signature(self, classifier: ErrorClassifier) -> None:
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"""通用 signature 字样(非 thinking 相关)不应被误判"""
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# 这个应该不匹配,因为模式要求是 thinking 相关的 signature
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error = '{"error": {"message": "request signature mismatch"}}'
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assert classifier._is_thinking_error(error) is False
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# === 大小写不敏感测试 ===
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def test_case_insensitive_matching(self, classifier: ErrorClassifier) -> None:
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"""测试大小写不敏感匹配"""
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error = '{"error": {"message": "INVALID `SIGNATURE` IN `THINKING` BLOCK"}}'
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assert classifier._is_thinking_error(error) is True
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error2 = '{"error": {"message": "Expected Thinking, Found Tool_Use"}}'
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assert classifier._is_thinking_error(error2) is True
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