ALwrity Version 0.5.0 (Fastapi + React )

2025-08-06 12:48:02 +05:30
parent f28a919caa
commit 32f97fa6b3
476 changed files with 115544 additions and 28747 deletions
--- a/lib/content_calendar/ui/components/performance_insights.py
+++ b/lib/content_calendar/ui/components/performance_insights.py
@@ -0,0 +1,81 @@
+import streamlit as st
+from typing import Dict, Any
+from lib.database.models import ContentItem
+import logging
+
+logger = logging.getLogger(__name__)
+
+def render_performance_insights(content_item: ContentItem, platform_adapter) -> None:
+    """Render performance insights for a content item."""
+    try:
+        logger.info(f"Rendering performance insights for: {content_item.title}")
+        
+        # Get performance data from platform adapter
+        performance_data = platform_adapter.get_content_performance(content_item)
+        
+        if not performance_data:
+            st.warning("No performance data available for this content")
+            return
+        
+        # Create metrics section
+        st.subheader("Performance Metrics")
+        col1, col2, col3 = st.columns(3)
+        
+        with col1:
+            st.metric(
+                "Engagement Rate",
+                f"{performance_data.get('engagement_rate', 0):.1f}%",
+                f"{performance_data.get('engagement_rate_change', 0):+.1f}%"
+            )
+        
+        with col2:
+            st.metric(
+                "Reach",
+                f"{performance_data.get('reach', 0):,}",
+                f"{performance_data.get('reach_change', 0):+,}"
+            )
+        
+        with col3:
+            st.metric(
+                "Conversion Rate",
+                f"{performance_data.get('conversion_rate', 0):.1f}%",
+                f"{performance_data.get('conversion_rate_change', 0):+.1f}%"
+            )
+        
+        # Create audience insights section
+        st.subheader("Audience Insights")
+        audience_data = performance_data.get('audience_insights', {})
+        
+        if audience_data:
+            col1, col2 = st.columns(2)
+            
+            with col1:
+                st.write("Demographics")
+                st.write(f"- Age: {audience_data.get('age_range', 'N/A')}")
+                st.write(f"- Gender: {audience_data.get('gender', 'N/A')}")
+                st.write(f"- Location: {audience_data.get('location', 'N/A')}")
+            
+            with col2:
+                st.write("Behavior")
+                st.write(f"- Peak Time: {audience_data.get('peak_time', 'N/A')}")
+                st.write(f"- Device: {audience_data.get('device', 'N/A')}")
+                st.write(f"- Platform: {audience_data.get('platform', 'N/A')}")
+        
+        # Create content insights section
+        st.subheader("Content Insights")
+        content_insights = performance_data.get('content_insights', {})
+        
+        if content_insights:
+            st.write("Top Performing Elements")
+            for element, score in content_insights.get('top_elements', {}).items():
+                st.write(f"- {element}: {score}")
+            
+            st.write("Improvement Suggestions")
+            for suggestion in content_insights.get('suggestions', []):
+                st.write(f"- {suggestion}")
+        
+        logger.info(f"Performance insights rendered successfully for: {content_item.title}")
+        
+    except Exception as e:
+        logger.error(f"Error rendering performance insights: {str(e)}", exc_info=True)
+        st.error(f"Error rendering performance insights: {str(e)}")