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