Base code
This commit is contained in:
Kunthawat Greethong
159
backend/test/check_db.py
Normal file
159
backend/test/check_db.py
Normal file
@@ -0,0 +1,159 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Database check and sample data creation script
|
||||
"""
|
||||
|
||||
from services.database import get_db_session
|
||||
from models.content_planning import ContentStrategy, ContentGapAnalysis, AIAnalysisResult
|
||||
from sqlalchemy.orm import Session
|
||||
import json
|
||||
|
||||
def check_database():
|
||||
"""Check what data exists in the database"""
|
||||
db = get_db_session()
|
||||
|
||||
try:
|
||||
# Check strategies
|
||||
strategies = db.query(ContentStrategy).all()
|
||||
print(f"Found {len(strategies)} strategies")
|
||||
for strategy in strategies:
|
||||
print(f" Strategy {strategy.id}: {strategy.name} - {strategy.industry}")
|
||||
|
||||
# Check gap analyses
|
||||
gap_analyses = db.query(ContentGapAnalysis).all()
|
||||
print(f"Found {len(gap_analyses)} gap analyses")
|
||||
|
||||
# Check AI analytics
|
||||
ai_analytics = db.query(AIAnalysisResult).all()
|
||||
print(f"Found {len(ai_analytics)} AI analytics")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error checking database: {e}")
|
||||
finally:
|
||||
db.close()
|
||||
|
||||
def create_sample_data():
|
||||
"""Create sample data for Strategic Intelligence and Keyword Research tabs"""
|
||||
db = get_db_session()
|
||||
|
||||
try:
|
||||
# Create a sample strategy if none exists
|
||||
existing_strategies = db.query(ContentStrategy).all()
|
||||
if not existing_strategies:
|
||||
sample_strategy = ContentStrategy(
|
||||
name="Sample Content Strategy",
|
||||
industry="Digital Marketing",
|
||||
target_audience={"demographics": "Small to medium businesses", "interests": ["marketing", "technology"]},
|
||||
content_pillars=["Educational Content", "Thought Leadership", "Case Studies"],
|
||||
ai_recommendations={
|
||||
"market_positioning": {
|
||||
"score": 75,
|
||||
"strengths": ["Strong brand voice", "Consistent content quality"],
|
||||
"weaknesses": ["Limited video content", "Slow content production"]
|
||||
},
|
||||
"competitive_advantages": [
|
||||
{"advantage": "AI-powered content creation", "impact": "High", "implementation": "In Progress"},
|
||||
{"advantage": "Data-driven strategy", "impact": "Medium", "implementation": "Complete"}
|
||||
],
|
||||
"strategic_risks": [
|
||||
{"risk": "Content saturation in market", "probability": "Medium", "impact": "High"},
|
||||
{"risk": "Algorithm changes affecting reach", "probability": "High", "impact": "Medium"}
|
||||
]
|
||||
},
|
||||
user_id=1
|
||||
)
|
||||
db.add(sample_strategy)
|
||||
db.commit()
|
||||
print("Created sample strategy")
|
||||
|
||||
# Create sample gap analysis
|
||||
existing_gaps = db.query(ContentGapAnalysis).all()
|
||||
if not existing_gaps:
|
||||
sample_gap = ContentGapAnalysis(
|
||||
website_url="https://example.com",
|
||||
competitor_urls=["competitor1.com", "competitor2.com"],
|
||||
target_keywords=["content marketing", "digital strategy", "SEO"],
|
||||
analysis_results={
|
||||
"gaps": ["Video content gap", "Local SEO opportunities"],
|
||||
"opportunities": [
|
||||
{"keyword": "AI content tools", "search_volume": "5K-10K", "competition": "Low", "cpc": "$2.50"},
|
||||
{"keyword": "content marketing ROI", "search_volume": "1K-5K", "competition": "Medium", "cpc": "$4.20"}
|
||||
]
|
||||
},
|
||||
recommendations=[
|
||||
{
|
||||
"type": "content",
|
||||
"title": "Create video tutorials",
|
||||
"description": "Address the video content gap",
|
||||
"priority": "high"
|
||||
},
|
||||
{
|
||||
"type": "seo",
|
||||
"title": "Optimize for local search",
|
||||
"description": "Target local keywords",
|
||||
"priority": "medium"
|
||||
}
|
||||
],
|
||||
user_id=1
|
||||
)
|
||||
db.add(sample_gap)
|
||||
db.commit()
|
||||
print("Created sample gap analysis")
|
||||
|
||||
# Create sample AI analytics
|
||||
existing_ai = db.query(AIAnalysisResult).all()
|
||||
if not existing_ai:
|
||||
sample_ai = AIAnalysisResult(
|
||||
analysis_type="strategic_intelligence",
|
||||
insights=[
|
||||
"Focus on video content to address market gap",
|
||||
"Leverage AI tools for competitive advantage",
|
||||
"Monitor algorithm changes closely"
|
||||
],
|
||||
recommendations=[
|
||||
{
|
||||
"type": "content",
|
||||
"title": "Increase video content production",
|
||||
"description": "Address the video content gap identified in analysis",
|
||||
"priority": "high"
|
||||
},
|
||||
{
|
||||
"type": "strategy",
|
||||
"title": "Implement AI-powered content creation",
|
||||
"description": "Leverage AI tools for competitive advantage",
|
||||
"priority": "medium"
|
||||
}
|
||||
],
|
||||
performance_metrics={
|
||||
"content_engagement": 78.5,
|
||||
"traffic_growth": 25.3,
|
||||
"conversion_rate": 2.1
|
||||
},
|
||||
personalized_data_used={
|
||||
"onboarding_data": True,
|
||||
"user_preferences": True,
|
||||
"historical_performance": True
|
||||
},
|
||||
processing_time=15.2,
|
||||
ai_service_status="operational",
|
||||
user_id=1
|
||||
)
|
||||
db.add(sample_ai)
|
||||
db.commit()
|
||||
print("Created sample AI analytics")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error creating sample data: {e}")
|
||||
db.rollback()
|
||||
finally:
|
||||
db.close()
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("Checking database...")
|
||||
check_database()
|
||||
|
||||
print("\nCreating sample data...")
|
||||
create_sample_data()
|
||||
|
||||
print("\nFinal database state:")
|
||||
check_database()
|
||||
Reference in New Issue
Block a user