import json
import pandas as pd
def generate_analysis_artifacts(df):
"""
Takes a DataFrame, performs analysis, and generates analysis.md and map.html.
"""
total_territories = df['TerritoryID'].nunique()
total_addresses = df['Address Count'].sum()
average_addresses = df['Address Count'].mean()
# Territories per Category
category_counts = df.groupby('CategoryCode')['TerritoryID'].nunique().reset_index(name='Count')
# Generate Markdown Report
report_content = f"""# Territory Analysis v1.2.0
## Summary
- Total Territories: {total_territories}
- Total Addresses: {total_addresses}
- Average Addresses per Territory: {average_addresses:.2f}
## Territories per Category
| CategoryCode | Count |
|--------------|-------|
"""
for _, row in category_counts.iterrows():
report_content += f"| {row['CategoryCode']} | {row['Count']} |\n"
with open('analysis.md', 'w') as f:
f.write(report_content)
# Prepare data for embedding in HTML's JavaScript
# Convert DataFrame to a list of dicts for JSON serialization
data_for_json = df.to_dict(orient='records')
min_addresses = df['Address Count'].min()
max_addresses = df['Address Count'].max()
with open('map.html', 'w') as f:
f.write(f'''
Territory Map
''')