test: 补充权限、消息与会话服务回归用例

会话读取、接管、重分配与 Socket 订阅统一校验角色、组织与可见性。

backend/tests/services/test_sentiment.py

@@ -0,0 +1,150 @@
+"""
+Copyright 2024-2026 ChatterMate
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+"""
+
+import pytest
+from unittest.mock import patch, MagicMock
+from app.services.sentiment import (
+    analyze_sentiment,
+    compute_session_sentiment,
+    _analyze_with_keywords,
+    _analyze_with_textblob,
+    POSITIVE_KEYWORDS,
+    NEGATIVE_KEYWORDS,
+)
+
+
+class TestAnalyzeWithKeywords:
+    """Tests for keyword-based sentiment analysis fallback."""
+
+    def test_positive_text(self):
+        label, score = _analyze_with_keywords("thank you so much, great help!")
+        assert label == "positive"
+        assert score > 0
+
+    def test_negative_text(self):
+        label, score = _analyze_with_keywords("this is terrible and broken")
+        assert label == "negative"
+        assert score < 0
+
+    def test_neutral_text_no_keywords(self):
+        label, score = _analyze_with_keywords("I want to check my order status")
+        assert label == "neutral"
+        assert score == 0.0
+
+    def test_mixed_keywords_neutral(self):
+        label, score = _analyze_with_keywords("great but broken")
+        assert label == "neutral" or label in ("positive", "negative")
+        assert -1.0 <= score <= 1.0
+
+    def test_single_positive_keyword(self):
+        label, score = _analyze_with_keywords("thanks")
+        assert label == "positive"
+        assert score > 0
+
+    def test_single_negative_keyword(self):
+        label, score = _analyze_with_keywords("terrible")
+        assert label == "negative"
+        assert score < 0
+
+
+class TestAnalyzeSentiment:
+    """Tests for the main analyze_sentiment function."""
+
+    def test_empty_string(self):
+        label, score = analyze_sentiment("")
+        assert label == "neutral"
+        assert score == 0.0
+
+    def test_none_input(self):
+        label, score = analyze_sentiment(None)
+        assert label == "neutral"
+        assert score == 0.0
+
+    def test_whitespace_only(self):
+        label, score = analyze_sentiment("   ")
+        assert label == "neutral"
+        assert score == 0.0
+
+    def test_returns_valid_label(self):
+        label, score = analyze_sentiment("This is amazing and wonderful!")
+        assert label in ("positive", "neutral", "negative")
+        assert isinstance(score, float)
+
+    def test_negative_sentiment(self):
+        label, score = analyze_sentiment("This is terrible, awful, horrible service")
+        assert label == "negative"
+        assert score < 0
+
+    def test_positive_sentiment(self):
+        label, score = analyze_sentiment("Thank you, this is great and awesome!")
+        assert label == "positive"
+        assert score > 0
+
+    @patch("app.services.sentiment.TEXTBLOB_AVAILABLE", False)
+    def test_falls_back_to_keywords(self):
+        label, score = analyze_sentiment("thanks for the great help")
+        assert label == "positive"
+        assert score > 0
+
+    @patch("app.services.sentiment.TEXTBLOB_AVAILABLE", True)
+    @patch("app.services.sentiment._analyze_with_textblob", side_effect=Exception("TextBlob error"))
+    def test_handles_textblob_error(self, mock_tb):
+        label, score = analyze_sentiment("some text")
+        assert label == "neutral"
+        assert score == 0.0
+
+
+class TestComputeSessionSentiment:
+    """Tests for session-level sentiment computation."""
+
+    def test_empty_scores(self):
+        label, score = compute_session_sentiment([], [])
+        assert label is None
+        assert score is None
+
+    def test_all_positive(self):
+        scores = [0.5, 0.8, 0.3]
+        labels = ["positive", "positive", "positive"]
+        label, score = compute_session_sentiment(scores, labels)
+        assert label == "positive"
+        assert score > 0.1
+
+    def test_all_negative(self):
+        scores = [-0.5, -0.8, -0.3]
+        labels = ["negative", "negative", "negative"]
+        label, score = compute_session_sentiment(scores, labels)
+        assert label == "negative"
+        assert score < -0.1
+
+    def test_mixed_neutral(self):
+        scores = [0.5, -0.5]
+        labels = ["positive", "negative"]
+        label, score = compute_session_sentiment(scores, labels)
+        assert label == "neutral"
+        assert score == 0.0
+
+    def test_single_score(self):
+        label, score = compute_session_sentiment([0.7], ["positive"])
+        assert label == "positive"
+        assert score == 0.7
+
+    def test_score_rounding(self):
+        scores = [0.3333, 0.6667]
+        labels = ["positive", "positive"]
+        label, score = compute_session_sentiment(scores, labels)
+        assert isinstance(score, float)
+        # Should be rounded to 4 decimal places
+        assert len(str(score).split(".")[-1]) <= 4