Upload financial_analyzer.py

EasyReportDataMCP/financial_analyzer.py

@@ -109,6 +109,10 @@ class FinancialAnalyzer:
         if not all_annual_filings:
             return []
         
+        # Detect if company is a 20-F filer (foreign company)
+        is_20f_filer = len(filings_20f) > 0 and len(filings_10k) == 0
+        has_quarterly = False  # 20-F filers typically don't have quarterly reports
+        
         # Step 3: Extract filing years from annual reports
         filing_year_map = {}  # Map: filing_year -> list of filings
         
@@ -166,6 +170,7 @@ class FinancialAnalyzer:
         
         # Step 6: Generate period list for target years
         # For each year: FY -> Q4 -> Q3 -> Q2 -> Q1 (descending order)
+        # For 20-F filers: only FY (no quarterly data)
         periods = []
         for file_year in target_years:
             # Try to get fiscal year from mapping, otherwise use filing year
@@ -179,14 +184,16 @@ class FinancialAnalyzer:
                 'filing_year': file_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}",
-                    'type': 'quarterly',
-                    'fiscal_year': fiscal_year,
-                    'filing_year': file_year
-                })
+            # Only add quarterly data for 10-K filers (not for 20-F filers)
+            if not is_20f_filer:
+                # 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}",
+                        'type': 'quarterly',
+                        'fiscal_year': fiscal_year,
+                        'filing_year': file_year
+                    })
         
         # Step 7: Get financial data for each period
         for idx, period_info in enumerate(periods):