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"""
Test suite for Sentiment Evolution Tracker
Basic tests to verify core functionality
"""
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
from sentiment_analyzer import SentimentAnalyzer
from pattern_detector import PatternDetector
from risk_predictor import RiskPredictor
class TestSentimentAnalyzer:
"""Test sentiment analysis functionality"""
def test_positive_sentiment(self):
"""Test positive sentiment detection"""
analyzer = SentimentAnalyzer()
result = analyzer.analyze_evolution([
{"content": "Excelente servicio, muy satisfecho", "timestamp": "2025-11-27 10:00"}
])
score = result.get("current_sentiment", 0)
assert 60 <= score <= 100, f"Expected positive score, got {score}"
print(f"✓ Positive sentiment: {score}/100")
def test_negative_sentiment(self):
"""Test negative sentiment detection"""
analyzer = SentimentAnalyzer()
result = analyzer.analyze_evolution([
{"content": "Terrible servicio, muy insatisfecho", "timestamp": "2025-11-27 10:00"}
])
score = result.get("current_sentiment", 50)
assert score < 40, f"Expected negative score, got {score}"
print(f"✓ Negative sentiment: {score}/100")
def test_neutral_sentiment(self):
"""Test neutral sentiment detection"""
analyzer = SentimentAnalyzer()
result = analyzer.analyze_evolution([
{"content": "El servicio existe", "timestamp": "2025-11-27 10:00"}
])
score = result.get("current_sentiment", 50)
assert 40 <= score <= 60, f"Expected neutral score, got {score}"
print(f"✓ Neutral sentiment: {score}/100")
def test_score_range(self):
"""Test that scores are in valid range"""
analyzer = SentimentAnalyzer()
test_messages = [
"Increíble",
"Bueno",
"Normal",
"Malo",
"Terrible"
]
for message in test_messages:
result = analyzer.analyze_evolution([
{"content": message, "timestamp": "2025-11-27 10:00"}
])
score = result.get("current_sentiment", 0)
assert 0 <= score <= 100, f"Score out of range: {score}"
print(f"✓ All scores in valid range [0-100]")
class TestPatternDetector:
"""Test pattern detection functionality"""
def test_declining_trend(self):
"""Test declining trend detection"""
detector = PatternDetector()
timeline = [
{"score": 80, "time": "10:00"},
{"score": 75, "time": "11:00"},
{"score": 70, "time": "12:00"},
{"score": 65, "time": "13:00"},
{"score": 60, "time": "14:00"}
]
trend = detector.detect_trend([t["score"] for t in timeline])
assert trend == "DECLINING", f"Expected DECLINING, got {trend}"
print(f"✓ Declining trend detected")
def test_rising_trend(self):
"""Test rising trend detection"""
detector = PatternDetector()
timeline = [
{"score": 30, "time": "10:00"},
{"score": 40, "time": "11:00"},
{"score": 50, "time": "12:00"},
{"score": 60, "time": "13:00"},
{"score": 70, "time": "14:00"}
]
trend = detector.detect_trend([t["score"] for t in timeline])
assert trend == "RISING", f"Expected RISING, got {trend}"
print(f"✓ Rising trend detected")
def test_stable_trend(self):
"""Test stable trend detection"""
detector = PatternDetector()
timeline = [
{"score": 50, "time": "10:00"},
{"score": 50, "time": "11:00"},
{"score": 50, "time": "12:00"},
{"score": 50, "time": "13:00"},
{"score": 50, "time": "14:00"}
]
trend = detector.detect_trend([t["score"] for t in timeline])
assert trend == "STABLE", f"Expected STABLE, got {trend}"
print(f"✓ Stable trend detected")
class TestRiskPredictor:
"""Test risk prediction functionality"""
def test_high_risk(self):
"""Test high risk prediction"""
predictor = RiskPredictor()
risk = predictor.predict_churn_risk(30.0, "DECLINING")
assert risk > 0.5, f"Expected high risk, got {risk}"
print(f"✓ High risk detected: {risk:.1%}")
def test_low_risk(self):
"""Test low risk prediction"""
predictor = RiskPredictor()
risk = predictor.predict_churn_risk(80.0, "RISING")
assert risk < 0.3, f"Expected low risk, got {risk}"
print(f"✓ Low risk detected: {risk:.1%}")
def test_medium_risk(self):
"""Test medium risk prediction"""
predictor = RiskPredictor()
risk = predictor.predict_churn_risk(50.0, "STABLE")
assert 0.2 <= risk <= 0.8, f"Expected medium risk, got {risk}"
print(f"✓ Medium risk detected: {risk:.1%}")
def run_all_tests():
"""Run all test suites"""
print("\n" + "="*60)
print("SENTIMENT EVOLUTION TRACKER - TEST SUITE")
print("="*60 + "\n")
tests_passed = 0
tests_total = 0
# Test SentimentAnalyzer
print("Testing SentimentAnalyzer:")
print("-" * 40)
try:
test_sa = TestSentimentAnalyzer()
test_sa.test_positive_sentiment()
tests_passed += 1
test_sa.test_negative_sentiment()
tests_passed += 1
test_sa.test_neutral_sentiment()
tests_passed += 1
test_sa.test_score_range()
tests_passed += 1
tests_total += 4
except Exception as e:
print(f"✗ Error: {e}")
tests_total += 4
# Test PatternDetector
print("\nTesting PatternDetector:")
print("-" * 40)
try:
test_pd = TestPatternDetector()
test_pd.test_declining_trend()
tests_passed += 1
test_pd.test_rising_trend()
tests_passed += 1
test_pd.test_stable_trend()
tests_passed += 1
tests_total += 3
except Exception as e:
print(f"✗ Error: {e}")
tests_total += 3
# Test RiskPredictor
print("\nTesting RiskPredictor:")
print("-" * 40)
try:
test_rp = TestRiskPredictor()
test_rp.test_high_risk()
tests_passed += 1
test_rp.test_low_risk()
tests_passed += 1
test_rp.test_medium_risk()
tests_passed += 1
tests_total += 3
except Exception as e:
print(f"✗ Error: {e}")
tests_total += 3
# Summary
print("\n" + "="*60)
print(f"RESULTS: {tests_passed}/{tests_total} tests passed")
print("="*60 + "\n")
if tests_passed == tests_total:
print("✅ All tests passed!")
return True
else:
print(f"❌ {tests_total - tests_passed} tests failed")
return False
if __name__ == "__main__":
success = run_all_tests()
sys.exit(0 if success else 1)
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