Refactor SEO and social media data retrieval to use .get() for safer access and improve conversion section output handling

pages/output.py

@@ -21,21 +21,21 @@ def write_client_footprint():
     markdown_table = "| Source/Channel | Current KPI |\n"
     markdown_table += "|---|---|\n"
     markdown_table += f"| Website Health Score | {result_web['website_overall_health_score']} |\n"
-    markdown_table += f"| Organic Traffic to the Website | {seo['organic_traffic']} |\n"
-    markdown_table += f"| Paid Traffic to the Website | {seo['paid_traffic']} |\n"
-    markdown_table += f"| Referral Traffic to the Website | {seo['referral_traffic']} |\n"
+    markdown_table += f"| Organic Traffic to the Website | {seo.get('organic_traffic', 'N/A')} |\n"
+    markdown_table += f"| Paid Traffic to the Website | {seo.get('paid_traffic', 'N/A')} |\n"
+    markdown_table += f"| Referral Traffic to the Website | {seo.get('referral_traffic', 'N/A')} |\n"
     markdown_table += f"| Email Traffic to the Website | N/A |\n"
-    markdown_table += f"| Direct Traffic to the Website | {seo['direct_traffic']} |\n"
+    markdown_table += f"| Direct Traffic to the Website | {seo.get('direct_traffic', 'N/A')} |\n"
     markdown_table += f"| Social Traffic to the Website | N/A |\n"
     markdown_table += f"| Display Traffic to the Website | N/A |\n"
     markdown_table += f"| Email Database | N/A |\n"
-    markdown_table += f"| Facebook Followers | {socmed['facebook_followers']} |\n"
-    markdown_table += f"| Twitter Followers | {socmed['twitter_followers']} |\n"
-    markdown_table += f"| Instagram Followers | {socmed['instagram_followers']} |\n"
-    markdown_table += f"| Linkedin Followers | {socmed['linkedin_followers']} |\n"
+    markdown_table += f"| Facebook Followers | {socmed.get('facebook_followers', 'N/A')} |\n"
+    markdown_table += f"| Twitter Followers | {socmed.get('twitter_followers', 'N/A')} |\n"
+    markdown_table += f"| Instagram Followers | {socmed.get('instagram_followers', 'N/A')} |\n"
+    markdown_table += f"| Linkedin Followers | {socmed.get('linkedin_followers', 'N/A')} |\n"
     markdown_table += f"| Google My Business | N/A |\n"
-    markdown_table += f"| # of Keywords Ranking in Top 10 | {seo['keyword_ranking_in_top_10']} |\n"
-    markdown_table += f"| # of Keywords Ranking in Top 100 | {seo['keyword_ranking_in_top_100']} |\n"
+    markdown_table += f"| # of Keywords Ranking in Top 10 | {seo.get('keyword_ranking_in_top_10', 'N/A')} |\n"
+    markdown_table += f"| # of Keywords Ranking in Top 100 | {seo.get('keyword_ranking_in_top_100', 'N/A')} |\n"
     
     return markdown_table
     
@@ -149,7 +149,6 @@ def seo_on_page_table(df_data):
      
     
 def display_outputs():
-    st.markdown("<div id='top'></div>", unsafe_allow_html=True);
     client_name = "RMX Creatives"
     client_website = "https://rmxcreatives.com/"
     overview = f"""**{client_name}** is a financial services company based in Auckland, New Zealand, specializing in providing quick and flexible loan solutions for businesses and individuals. Represented by Paul Stone, LoansOne has enlisted ShoreMarketing to perform a deep dive into their digital footprint to have a view of the holistic status of their digital properties and determine how each property can play part in implementing a stronger digital marketing plan.\n
@@ -328,25 +327,46 @@ We have evaluated the process of content development strategy and existing conte
         st.markdown("##### DECISION STAGE")
         st.write(None)
         
-    st.markdown("---")       
+    
     st.markdown("<a href='#top'>Go to top</a>", unsafe_allow_html=True)
+    st.markdown("---")       
     
+    
+    conversion = get_analyst_response("Conversion Analyst")
     st.markdown("#### CONVERSION –  ACTIVATION OF VISITORS")
-    st.markdown("##### AWARENESS TO TRAFFIC")
-    st.write("TBD")
-    st.markdown("##### TRAFFIC TO LEAD CONVERSION")
-    st.write("TBD")
-    st.markdown("##### LEAD TO SALES CONVERSION")
-    st.write("TBD")
-    st.markdown("##### CONVERSION TO BRAND LOYALTY")
-    st.write("TBD")
     
+    if conversion:
+        st.markdown("##### AWARENESS TO TRAFFIC")
+        st.write(conversion.get('awareness_to_traffic', 'N/A'))
+        
+        st.markdown("##### TRAFFIC TO LEAD CONVERSION")
+        st.write(conversion.get('traffic_to_lead', 'N/A'))
+        
+        st.markdown("##### LEAD TO SALES CONVERSION")
+        st.write(conversion.get('lead_to_sales', 'N/A'))
+        
+        st.markdown("##### CONVERSION TO BRAND LOYALTY")
+        st.write(conversion.get('conversion_to_brand', 'N/A'))
+    else:
+        st.markdown("##### AWARENESS TO TRAFFIC")
+        st.write(None)
+        st.markdown("##### TRAFFIC TO LEAD CONVERSION")
+        st.write(None)
+        st.markdown("##### LEAD TO SALES CONVERSION")
+        st.write(None)
+        st.markdown("##### CONVERSION TO BRAND LOYALTY")
+        st.write(None)
+    
+    
+    conversion = get_analyst_response("CConnection Analyst")
     st.markdown("##### CONNECTION OF ALL ONLINE AND OFFLINE TOUCH POINTS")
-    st.write("TBD")
+    st.write(conversion)
     
     st.markdown("<a href='#top'>Go to top</a>", unsafe_allow_html=True)
     
-    
+
+
+st.markdown("<div id='top'></div>", unsafe_allow_html=True);    
 if st.button("Back to Dashboard", icon="🏠"):
         st.switch_page("pages/home.py")
 display_outputs()