formatting changes

app.py

@@ -35,59 +35,127 @@ def get_value(df, colname):
 def format_whisp_statistics(df):
     """Format WhispAPI statistics into readable text for end-users"""
     try:
-        country = get_value(df, "Country")
+        # Country code mapping for better display
+        country_codes = {
+            'HND': 'Honduras',
+            'GTM': 'Guatemala', 
+            'ECU': 'Ecuador',
+            'COL': 'Colombia',
+            'PER': 'Peru',
+            'BRA': 'Brazil',
+            'BOL': 'Bolivia',
+            'CRI': 'Costa Rica',
+            'PAN': 'Panama',
+            'NIC': 'Nicaragua'
+        }
+        
+        country_raw = get_value(df, "Country")
+        country = country_codes.get(country_raw, country_raw)
         admin_level = get_value(df, "Admin_Level_1")
-        area = get_value(df, "Area")
+        area_raw = get_value(df, "Area")
+        
+        # Format area with proper rounding and units
         try:
-            area = round(float(area), 2)
-            area_text = f"{area:,} hectares"
+            area_num = float(area_raw)
+            if area_num < 1:
+                area_text = f"{area_num:.3f} hectares"
+            elif area_num < 100:
+                area_text = f"{area_num:.2f} hectares"
+            else:
+                area_text = f"{area_num:,.1f} hectares"
         except:
-            area_text = str(area)
+            area_text = str(area_raw) if area_raw != "Not available" else "Not available"
 
         risk_level = get_value(df, "risk_level")
         risk_pcrop = get_value(df, "risk_pcrop")
         risk_acrop = get_value(df, "risk_acrop")
         risk_timber = get_value(df, "risk_timber")
-        def_after_2020 = get_value(df, "TMF_def_after_2020")
+        def_after_2020_raw = get_value(df, "TMF_def_after_2020")
 
-        # Helper function to format risk levels
+        # Helper function to format risk levels with colors/emojis
         def format_risk(risk_val):
-            if isinstance(risk_val, str):
-                risk_val = risk_val.lower()
-                if risk_val in ['low', 'medium', 'high', 'very high']:
-                    return risk_val.title()
+            if not risk_val or risk_val in ["Not available", "not available"]:
+                return "🔍 **Not Available** *(Analysis pending)*"
+            elif isinstance(risk_val, str):
+                risk_lower = risk_val.lower().strip()
+                if risk_lower == "low":
+                    return "🟢 **Low Risk**"
+                elif risk_lower == "medium":
+                    return "🟡 **Medium Risk**"
+                elif risk_lower == "high":
+                    return "🟠 **High Risk**"
+                elif risk_lower == "very high":
+                    return "🔴 **Very High Risk**"
+                elif risk_lower == "more_info_needed":
+                    return "📊 **Assessment Pending** *(More data needed)*"
+                else:
+                    return f"ℹ️ **{risk_val.title()}**"
             return str(risk_val)
 
-        output = f"""🌍 **Analysis Results for Your Geographic Area**
-
-## 📍 **Plot Information**
+        # Format deforestation data
+        def format_deforestation(def_val):
+            if not def_val or def_val in ["Not available", "not available"]:
+                return "🔍 **No Data Available**"
+            try:
+                def_num = float(def_val)
+                if def_num == 0:
+                    return "✅ **No Recent Deforestation Detected**"
+                elif def_num < 0.1:
+                    return f"⚠️ **{def_num:.3f} hectares detected**"
+                else:
+                    return f"⚠️ **{def_num:.2f} hectares detected**"
+            except:
+                return f"ℹ️ **{def_val}**"
+
+        # Create EUDR compliance assessment
+        def get_compliance_status(def_after_2020):
+            try:
+                def_num = float(def_after_2020)
+                if def_num == 0:
+                    return "✅ **COMPLIANT** - No recent deforestation detected"
+                elif def_num > 0:
+                    return "⚠️ **REQUIRES ATTENTION** - Recent deforestation detected"
+            except:
+                return "🔍 **ASSESSMENT NEEDED** - Insufficient data for compliance determination"
+
+        deforestation_formatted = format_deforestation(def_after_2020_raw)
+        compliance_status = get_compliance_status(def_after_2020_raw)
+
+        output = f"""🌍 **Geographic Analysis Results**
+
+## 📍 **Location Details**
 - **Country**: {country}
 - **Administrative Region**: {admin_level}
 - **Total Area**: {area_text}
 
-## ⚠️ **Risk Assessment**
-*Risk levels indicate the likelihood of deforestation based on historical patterns and environmental factors*
+## ⚠️ **Deforestation Risk Assessment**
+*Risk levels are based on historical patterns, environmental factors, and land use data*
 
-- **Overall Deforestation Risk**: {format_risk(risk_level)}
-- **Permanent Crop Risk**: {format_risk(risk_pcrop)}
-  *(Risk from permanent crops like coffee, cocoa, palm oil)*
-- **Annual Crop Risk**: {format_risk(risk_acrop)}
-  *(Risk from seasonal crops like soy, corn, rice)*
-- **Timber Risk**: {format_risk(risk_timber)}
-  *(Risk from logging and timber extraction activities)*
+- **Overall Risk**: {format_risk(risk_level)}
+- **Permanent Crops**: {format_risk(risk_pcrop)}
+  *Coffee, cocoa, palm oil, fruit trees*
+- **Annual Crops**: {format_risk(risk_acrop)}
+  *Soy, corn, rice, vegetables*
+- **Timber Extraction**: {format_risk(risk_timber)}
+  *Logging and wood harvesting*
 
-## 🌳 **Deforestation Analysis**
-*Analysis based on Tropical Moist Forest (TMF) satellite data*
+## 🌳 **EUDR Compliance Analysis**
+*Based on Tropical Moist Forest satellite monitoring*
 
-- **Recent Deforestation (Post-2020)**: {def_after_2020}
-  *(Forest loss detected after 2020, relevant for EUDR compliance)*
+**Recent Deforestation (2020-Present):** {deforestation_formatted}
+
+**EUDR Compliance Status:** {compliance_status}
 
 ---
-💡 **Understanding Your Results**: Higher risk levels indicate areas where deforestation is more likely to occur. For EUDR compliance, pay special attention to areas with recent deforestation after 2020, as this may affect commodity sourcing eligibility.
+### 💡 **Key Insights**
+
+- **For Suppliers**: {compliance_status.split(' - ')[1] if ' - ' in compliance_status else 'Review compliance requirements carefully'}
+- **Risk Factors**: Focus on {', '.join([t.split('*')[1].strip('*') for t in [risk_pcrop, risk_acrop, risk_timber] if 'High' in format_risk(t)])} if any high-risk activities detected
+- **Next Steps**: {"Conduct additional due diligence if recent deforestation is detected" if "ATTENTION" in compliance_status else "Continue monitoring and maintain documentation"}
 """
         return output
     except Exception as e:
-        return f"❌ Error formatting analysis results: {str(e)}\n\nPlease check that your GeoJSON file is valid and try again."
+        return f"❌ **Analysis Error**\n\nUnable to process the geographic data: {str(e)}\n\n📋 **Troubleshooting:**\n- Verify your GeoJSON file format\n- Check file size (should be < 10MB)\n- Ensure coordinates are valid\n\nPlease try uploading again or contact support."
 
 def handle_geojson_upload(file):
     """Handle GeoJSON file upload and call WHISP API"""