"""Tests for competitive intelligence module."""
import pytest
import sys
import os
# Add src directory to path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
from competitive_intelligence.data_sources import get_competitor_news, monitor_competitor_websites
from competitive_intelligence.analysis import analyze_market_trends, summarize_competitor_activity
from competitive_intelligence.report_generation import generate_intelligence_report
class TestCompetitiveIntelligence:
"""Test class for competitive intelligence functionality."""
def test_get_competitor_news(self):
"""Test news data retrieval."""
# Mock data for testing
competitors = ["TestCompetitor1", "TestCompetitor2"]
# This would normally call the API, but we'll mock for testing
# In a real implementation, you would need to set NEWS_API_KEY
result = get_competitor_news(competitors, "2023-01-01", 10)
# Check basic structure
assert isinstance(result, dict)
assert "TestCompetitor1" in result
assert "TestCompetitor2" in result
def test_monitor_competitor_websites(self):
"""Test website monitoring."""
competitors = ["TestCompetitor1", "TestCompetitor2"]
# This would normally scrape websites, but we'll mock for testing
result = monitor_competitor_websites(competitors)
# Check basic structure
assert isinstance(result, dict)
assert "TestCompetitor1" in result
assert "TestCompetitor2" in result
def test_analyze_market_trends(self):
"""Test market trend analysis."""
# Mock news data
news_data = {
"TestCompetitor1": {
"status": "success",
"articles": [
{
"title": "Test Article 1",
"description": "Test competitor launched new product",
"publishedAt": "2023-01-01T12:00:00Z"
}
]
}
}
result = analyze_market_trends(news_data, ["pricing", "product_launches"])
# Check basic structure
assert isinstance(result, dict)
assert "trend_analysis" in result
assert "overall_sentiment" in result
def test_summarize_competitor_activity(self):
"""Test competitor activity summarization."""
# Mock data
news_data = {
"TestCompetitor1": {
"status": "success",
"articles": [
{
"title": "Test Article 1",
"description": "Test competitor launched new product",
"publishedAt": "2023-01-01T12:00:00Z"
}
]
}
}
website_data = {
"TestCompetitor1": {
"status": "success",
"announcements": [
{
"title": "Test Announcement 1",
"date": "2023-01-01"
}
]
}
}
result = summarize_competitor_activity(news_data, website_data)
# Check basic structure
assert isinstance(result, dict)
assert "TestCompetitor1" in result
assert "key_insights" in result["TestCompetitor1"]
def test_generate_intelligence_report(self):
"""Test intelligence report generation."""
# Mock data
competitors = ["TestCompetitor1", "TestCompetitor2"]
news_data = {
"TestCompetitor1": {
"status": "success",
"articles": [
{
"title": "Test Article 1",
"description": "Test competitor launched new product",
"publishedAt": "2023-01-01T12:00:00Z"
}
]
}
}
website_data = {
"TestCompetitor1": {
"status": "success",
"announcements": [
{
"title": "Test Announcement 1",
"date": "2023-01-01"
}
]
}
}
trend_analysis = {
"trend_analysis": {
"pricing": {
"trend_direction": "positive",
"article_count": 5
}
},
"overall_sentiment": {
"overall_sentiment": "positive",
"sentiment_score": 0.3
}
}
competitor_summary = {
"TestCompetitor1": {
"risk_level": "medium",
"key_insights": ["Product launch detected"]
}
}
result = generate_intelligence_report(
competitors=competitors,
news_data=news_data,
website_data=website_data,
trend_analysis=trend_analysis,
competitor_summary=competitor_summary,
focus_areas=["pricing", "product_launches"]
)
# Check basic structure
assert isinstance(result, dict)
assert "metadata" in result
assert "executive_summary" in result
assert "competitor_profiles" in result
assert "recommendations" in result
if __name__ == "__main__":
pytest.main([__file__])
