WangShen007
20fef2b9f3
One word everywhere: ReplyPier in UI copy, package and image names, the replypier.site domains (app/api/docs/help), REPLYPIER_* settings and the --rp-* design tokens. - public widget API is window.ReplyPier with replypierId / replypierBaseUrl / replypierConfig / replypierToken, loader at webclient/replypier.min.js; both bundles rebuilt from source - NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and the demo runtime config rewritten; the demo config ships no third-party keys - migration adds the ReplyPier managed model value to the AI model enum - local compose project, database, role, volume and Docker network carry the same name
151 lines
5.0 KiB
Python
151 lines
5.0 KiB
Python
"""
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Copyright 2024-2026 ReplyPier
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 pytest
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from unittest.mock import patch, MagicMock
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from app.services.sentiment import (
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analyze_sentiment,
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compute_session_sentiment,
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_analyze_with_keywords,
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_analyze_with_textblob,
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POSITIVE_KEYWORDS,
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NEGATIVE_KEYWORDS,
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)
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class TestAnalyzeWithKeywords:
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"""Tests for keyword-based sentiment analysis fallback."""
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def test_positive_text(self):
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label, score = _analyze_with_keywords("thank you so much, great help!")
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assert label == "positive"
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assert score > 0
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def test_negative_text(self):
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label, score = _analyze_with_keywords("this is terrible and broken")
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assert label == "negative"
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assert score < 0
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def test_neutral_text_no_keywords(self):
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label, score = _analyze_with_keywords("I want to check my order status")
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assert label == "neutral"
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assert score == 0.0
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def test_mixed_keywords_neutral(self):
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label, score = _analyze_with_keywords("great but broken")
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assert label == "neutral" or label in ("positive", "negative")
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assert -1.0 <= score <= 1.0
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def test_single_positive_keyword(self):
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label, score = _analyze_with_keywords("thanks")
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assert label == "positive"
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assert score > 0
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def test_single_negative_keyword(self):
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label, score = _analyze_with_keywords("terrible")
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assert label == "negative"
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assert score < 0
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class TestAnalyzeSentiment:
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"""Tests for the main analyze_sentiment function."""
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def test_empty_string(self):
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label, score = analyze_sentiment("")
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assert label == "neutral"
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assert score == 0.0
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def test_none_input(self):
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label, score = analyze_sentiment(None)
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assert label == "neutral"
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assert score == 0.0
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def test_whitespace_only(self):
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label, score = analyze_sentiment(" ")
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assert label == "neutral"
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assert score == 0.0
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def test_returns_valid_label(self):
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label, score = analyze_sentiment("This is amazing and wonderful!")
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assert label in ("positive", "neutral", "negative")
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assert isinstance(score, float)
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def test_negative_sentiment(self):
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label, score = analyze_sentiment("This is terrible, awful, horrible service")
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assert label == "negative"
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assert score < 0
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def test_positive_sentiment(self):
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label, score = analyze_sentiment("Thank you, this is great and awesome!")
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assert label == "positive"
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assert score > 0
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@patch("app.services.sentiment.TEXTBLOB_AVAILABLE", False)
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def test_falls_back_to_keywords(self):
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label, score = analyze_sentiment("thanks for the great help")
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assert label == "positive"
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assert score > 0
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@patch("app.services.sentiment.TEXTBLOB_AVAILABLE", True)
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@patch("app.services.sentiment._analyze_with_textblob", side_effect=Exception("TextBlob error"))
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def test_handles_textblob_error(self, mock_tb):
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label, score = analyze_sentiment("some text")
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assert label == "neutral"
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assert score == 0.0
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class TestComputeSessionSentiment:
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"""Tests for session-level sentiment computation."""
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def test_empty_scores(self):
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label, score = compute_session_sentiment([], [])
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assert label is None
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assert score is None
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def test_all_positive(self):
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scores = [0.5, 0.8, 0.3]
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labels = ["positive", "positive", "positive"]
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label, score = compute_session_sentiment(scores, labels)
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assert label == "positive"
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assert score > 0.1
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def test_all_negative(self):
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scores = [-0.5, -0.8, -0.3]
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labels = ["negative", "negative", "negative"]
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label, score = compute_session_sentiment(scores, labels)
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assert label == "negative"
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assert score < -0.1
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def test_mixed_neutral(self):
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scores = [0.5, -0.5]
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labels = ["positive", "negative"]
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label, score = compute_session_sentiment(scores, labels)
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assert label == "neutral"
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assert score == 0.0
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def test_single_score(self):
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label, score = compute_session_sentiment([0.7], ["positive"])
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assert label == "positive"
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assert score == 0.7
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def test_score_rounding(self):
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scores = [0.3333, 0.6667]
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labels = ["positive", "positive"]
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label, score = compute_session_sentiment(scores, labels)
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assert isinstance(score, float)
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# Should be rounded to 4 decimal places
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assert len(str(score).split(".")[-1]) <= 4
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