v1 first layer

2026-08-13 18:58:05 +00:00 · 2026-06-16 12:27:37 +01:00
commit 6bfcc67088
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+"""
+APEX Layer 1 — Example Excel Template Generator
+
+Run this script to create example Excel files with the correct format.
+
+Usage:
+    python create_excel_template.py
+
+This will generate:
+    - example_monthly_data.xlsx (multi-sheet format)
+    - example_monthly_data_single_sheet.xlsx (single sheet format)
+"""
+
+import pandas as pd
+from openpyxl import Workbook
+from openpyxl.styles import Font, PatternFill, Alignment
+import config
+from datetime import datetime
+
+def create_multi_sheet_template():
+    """Create Excel with separate CPI and PMI sheets."""
+    
+    # CPI Data
+    cpi_data = {
+        'Currency': config.CURRENCIES,
+        'Target %': [config.CB_TARGETS[c] for c in config.CURRENCIES],
+        'Actual CPI %': [3.2, 2.8, 3.1, 1.9, 3.5, 2.3, 1.2, 3.8]  # Example values
+    }
+    
+    # PMI Data
+    pmi_data = {
+        'Currency': config.CURRENCIES,
+        'Composite PMI': [52.3, 48.7, 51.2, 49.5, 50.1, 51.8, 49.2, 52.5]  # Example values
+    }
+    
+    # Create Excel file
+    with pd.ExcelWriter('example_monthly_data.xlsx', engine='openpyxl') as writer:
+        pd.DataFrame(cpi_data).to_excel(writer, sheet_name='CPI', index=False)
+        pd.DataFrame(pmi_data).to_excel(writer, sheet_name='PMI', index=False)
+    
+    print("✓ Created: example_monthly_data.xlsx")
+    print("  - Sheet 1: CPI data")
+    print("  - Sheet 2: PMI data")
+
+def create_single_sheet_template():
+    """Create Excel with all data in one sheet."""
+    
+    data = {
+        'Currency': config.CURRENCIES,
+        'Target_CPI': [config.CB_TARGETS[c] for c in config.CURRENCIES],
+        'Actual_CPI': [3.2, 2.8, 3.1, 1.9, 3.5, 2.3, 1.2, 3.8],
+        'Composite_PMI': [52.3, 48.7, 51.2, 49.5, 50.1, 51.8, 49.2, 52.5]
+    }
+    
+    df = pd.DataFrame(data)
+    df.to_excel('example_monthly_data_single_sheet.xlsx', index=False)
+    
+    print("✓ Created: example_monthly_data_single_sheet.xlsx")
+    print("  - All data in one sheet")
+
+def create_csv_template():
+    """Create CSV example."""
+    
+    data = {
+        'Currency': config.CURRENCIES,
+        'Target_CPI': [config.CB_TARGETS[c] for c in config.CURRENCIES],
+        'Actual_CPI': [3.2, 2.8, 3.1, 1.9, 3.5, 2.3, 1.2, 3.8],
+        'Composite_PMI': [52.3, 48.7, 51.2, 49.5, 50.1, 51.8, 49.2, 52.5]
+    }
+    
+    df = pd.DataFrame(data)
+    df.to_csv('example_monthly_data.csv', index=False)
+    
+    print("✓ Created: example_monthly_data.csv")
+
+if __name__ == "__main__":
+    print(f"APEX Layer 1 - Template Generator")
+    print(f"Month: {datetime.now().strftime('%Y-%m')}\n")
+    
+    try:
+        create_multi_sheet_template()
+        create_single_sheet_template()
+        create_csv_template()
+        
+        print("\n" + "="*60)
+        print("Templates created successfully!")
+        print("="*60)
+        print("\nUsage:")
+        print("1. Open any template file")
+        print("2. Replace example values with real economic data")
+        print("3. In APEX app: Monthly Entry tab → Import Excel")
+        print("4. Select your file and click Open")
+        print("5. Click 'Save & Calculate Scores'")
+        
+    except Exception as e:
+        print(f"\n✗ Error creating templates: {e}")
+        print("\nMake sure you have openpyxl and pandas installed:")
+        print("  pip install openpyxl pandas")