Upload financial_analyzer.py

financial_analyzer.py

@@ -146,12 +146,13 @@ class FinancialAnalyzer:
                     break  # Found revenue tag, no need to check more
         
         # Step 5: Generate period list for target years
+        # For each year: FY -> Q4 -> Q3 -> Q2 -> Q1 (descending order)
         periods = []
         for file_year in target_years:
             # Try to get fiscal year from mapping, otherwise use filing year
             fiscal_year = filing_to_fiscal_year.get(file_year, file_year)
             
-            # Add annual data for this fiscal year
+            # First add annual data for this fiscal year
             periods.append({
                 'period': str(fiscal_year),
                 'type': 'annual',
@@ -159,7 +160,7 @@ class FinancialAnalyzer:
                 'filing_year': file_year
             })
             
-            # Add quarterly data for this fiscal year
+            # Then add quarterly data in descending order: Q4, Q3, Q2, Q1
             for quarter in range(4, 0, -1):
                 periods.append({
                     'period': f"{fiscal_year}Q{quarter}",
@@ -169,7 +170,7 @@ class FinancialAnalyzer:
                 })
         
         # Step 6: Get financial data for each period
-        for period_info in periods:
+        for idx, period_info in enumerate(periods):
             period = period_info['period']
             fiscal_year = period_info['fiscal_year']
             
@@ -180,6 +181,9 @@ class FinancialAnalyzer:
                 if period_info['type'] == 'annual':
                     data["period"] = f"FY{fiscal_year}"
                 
+                # Add sequence number to maintain order
+                data["_sequence"] = idx
+                
                 financial_data.append(data)
         
         return financial_data