Merge pull request #3 from Utorque/claude/horloml-web-app-011CUbWgr7HjWM2LFKdsZCmc (a86ab590) · Commits · Barthelet Thibault / horloml

forecast_app/app.py

+196 −2

Original line number	Diff line number	Diff line
		@@ -5,10 +5,17 @@ Students analyze 10 years of historical data and predict year 11.
		Results show financial impact of their predictions.
		"""

		from flask import Flask, render_template, request, session, jsonify, redirect, url_for
		from flask import Flask, render_template, request, session, jsonify, redirect, url_for, send_file
		import json
		import os
		from datetime import datetime
		from io import BytesIO
		try:
		from openpyxl import Workbook
		from openpyxl.styles import Font, PatternFill, Alignment
		EXCEL_AVAILABLE = True
		except ImportError:
		EXCEL_AVAILABLE = False

		app = Flask(__name__)
		app.secret_key = 'supply-chain-forecast-secret-key-2024'
		@@ -244,7 +251,194 @@ def historical():
		return render_template('historical.html',
		watches=watches,
		historical_data=historical_data,
		yearly_summary=yearly_summary)
		yearly_summary=yearly_summary,
		excel_available=EXCEL_AVAILABLE)


		@app.route('/download_excel')
		def download_excel():
		"""Generate and download Excel file with historical data"""
		if not EXCEL_AVAILABLE:
		return "Excel export not available. Please install openpyxl.", 500

		training_data = load_training_data()
		watches = training_data['metadata']['watches']
		historical_data = training_data['historical_data']

		# Create workbook
		wb = Workbook()

		# Remove default sheet
		wb.remove(wb.active)

		# Create Summary sheet
		ws_summary = wb.create_sheet("Summary")

		# Header style
		header_fill = PatternFill(start_color="667eea", end_color="667eea", fill_type="solid")
		header_font = Font(bold=True, color="FFFFFF")

		# Summary sheet headers
		ws_summary['A1'] = "HorloML Historical Data Summary"
		ws_summary['A1'].font = Font(bold=True, size=14)
		ws_summary.merge_cells('A1:D1')

		ws_summary['A3'] = "Watch Models"
		ws_summary['A3'].font = header_font
		ws_summary['A3'].fill = header_fill

		# Watch info
		ws_summary['A4'] = "ID"
		ws_summary['B4'] = "Name"
		ws_summary['C4'] = "Category"
		ws_summary['D4'] = "Retail Price"
		for cell in ['A4', 'B4', 'C4', 'D4']:
		ws_summary[cell].font = Font(bold=True)
		ws_summary[cell].fill = PatternFill(start_color="E0E0E0", end_color="E0E0E0", fill_type="solid")

		for idx, watch in enumerate(watches, start=5):
		ws_summary[f'A{idx}'] = watch['id']
		ws_summary[f'B{idx}'] = watch['name']
		ws_summary[f'C{idx}'] = watch['category']
		ws_summary[f'D{idx}'] = f"${watch['sell_price']}"

		# Adjust column widths
		ws_summary.column_dimensions['A'].width = 8
		ws_summary.column_dimensions['B'].width = 20
		ws_summary.column_dimensions['C'].width = 15
		ws_summary.column_dimensions['D'].width = 15

		# Create Monthly Data sheet
		ws_monthly = wb.create_sheet("Monthly Data")

		# Headers
		headers = ['Year', 'Month', 'Date']
		for watch in watches:
		headers.extend([
		f"{watch['name']} - Demand",
		f"{watch['name']} - Revenue",
		f"{watch['name']} - Profit"
		])

		for col_idx, header in enumerate(headers, start=1):
		cell = ws_monthly.cell(row=1, column=col_idx, value=header)
		cell.font = header_font
		cell.fill = header_fill
		cell.alignment = Alignment(horizontal='center')

		# Data rows
		for row_idx, month_data in enumerate(historical_data, start=2):
		ws_monthly.cell(row=row_idx, column=1, value=month_data['year'])
		ws_monthly.cell(row=row_idx, column=2, value=month_data['month'])
		ws_monthly.cell(row=row_idx, column=3, value=month_data['date'])

		col_idx = 4
		for watch_data in month_data['watches']:
		ws_monthly.cell(row=row_idx, column=col_idx, value=watch_data['demand'])
		ws_monthly.cell(row=row_idx, column=col_idx + 1, value=watch_data['revenue'])
		ws_monthly.cell(row=row_idx, column=col_idx + 2, value=watch_data['profit'])
		col_idx += 3

		# Adjust column widths
		ws_monthly.column_dimensions['A'].width = 8
		ws_monthly.column_dimensions['B'].width = 8
		ws_monthly.column_dimensions['C'].width = 12
		for col in range(4, len(headers) + 1):
		ws_monthly.column_dimensions[ws_monthly.cell(row=1, column=col).column_letter].width = 18

		# Create Yearly Summary sheet
		ws_yearly = wb.create_sheet("Yearly Summary")

		# Headers
		yearly_headers = ['Year']
		for watch in watches:
		yearly_headers.extend([
		f"{watch['name']} - Total Demand",
		f"{watch['name']} - Total Revenue",
		f"{watch['name']} - Total Profit"
		])

		for col_idx, header in enumerate(yearly_headers, start=1):
		cell = ws_yearly.cell(row=1, column=col_idx, value=header)
		cell.font = header_font
		cell.fill = header_fill
		cell.alignment = Alignment(horizontal='center')

		# Aggregate by year
		yearly_data = {}
		for month_data in historical_data:
		year = month_data['year']
		if year not in yearly_data:
		yearly_data[year] = {watch['id']: {'demand': 0, 'revenue': 0, 'profit': 0} for watch in watches}

		for watch_data in month_data['watches']:
		watch_id = watch_data['watch_id']
		yearly_data[year][watch_id]['demand'] += watch_data['demand']
		yearly_data[year][watch_id]['revenue'] += watch_data['revenue']
		yearly_data[year][watch_id]['profit'] += watch_data['profit']

		# Write yearly data
		for row_idx, (year, data) in enumerate(sorted(yearly_data.items()), start=2):
		ws_yearly.cell(row=row_idx, column=1, value=year)

		col_idx = 2
		for watch in watches:
		ws_yearly.cell(row=row_idx, column=col_idx, value=data[watch['id']]['demand'])
		ws_yearly.cell(row=row_idx, column=col_idx + 1, value=data[watch['id']]['revenue'])
		ws_yearly.cell(row=row_idx, column=col_idx + 2, value=data[watch['id']]['profit'])
		col_idx += 3

		# Adjust column widths
		ws_yearly.column_dimensions['A'].width = 8
		for col in range(2, len(yearly_headers) + 1):
		ws_yearly.column_dimensions[ws_yearly.cell(row=1, column=col).column_letter].width = 20

		# Create Analysis Template sheet
		ws_analysis = wb.create_sheet("Analysis Template")

		ws_analysis['A1'] = "Year 11 Prediction Worksheet"
		ws_analysis['A1'].font = Font(bold=True, size=14)
		ws_analysis.merge_cells('A1:D1')

		ws_analysis['A3'] = "Use this sheet to make your predictions for Year 11"
		ws_analysis['A3'].font = Font(italic=True)
		ws_analysis.merge_cells('A3:D3')

		ws_analysis['A5'] = "Month"
		ws_analysis['A5'].font = Font(bold=True)
		ws_analysis['A5'].fill = header_fill

		for col_idx, watch in enumerate(watches, start=2):
		cell = ws_analysis.cell(row=5, column=col_idx, value=f"{watch['name']} Prediction")
		cell.font = header_font
		cell.fill = header_fill
		cell.alignment = Alignment(horizontal='center')

		# Add months
		months = ['January', 'February', 'March', 'April', 'May', 'June',
		'July', 'August', 'September', 'October', 'November', 'December']
		for row_idx, month in enumerate(months, start=6):
		ws_analysis.cell(row=row_idx, column=1, value=month)

		# Adjust column widths
		ws_analysis.column_dimensions['A'].width = 12
		for col in range(2, len(watches) + 2):
		ws_analysis.column_dimensions[ws_analysis.cell(row=5, column=col).column_letter].width = 25

		# Save to BytesIO
		output = BytesIO()
		wb.save(output)
		output.seek(0)

		# Generate filename with current date
		filename = f"HorloML_Historical_Data_{datetime.now().strftime('%Y%m%d')}.xlsx"

		return send_file(
		output,
		mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
		as_attachment=True,
		download_name=filename
		)


		@app.route('/predict', methods=['GET', 'POST'])

forecast_app/requirements.txt

+1 −0

Original line number	Diff line number	Diff line
		Flask==3.0.0
		numpy==2.3.4
		Flask-Session==0.5.0
		openpyxl==3.1.2

forecast_app/templates/historical.html

+36 −1

Original line number	Diff line number	Diff line
		@@ -14,9 +14,44 @@

		<section class="section">
		<div class="container">
		<!-- Download Button -->
		<div class="columns">
		<div class="column is-12">
		{% if excel_available %}
		<a href="{{ url_for('download_excel') }}" class="button is-success is-medium is-pulled-right">
		<span class="icon">
		<i class="fas fa-file-excel"></i>
		</span>
		<span>Download as Excel</span>
		</a>
		{% else %}
		<button class="button is-success is-medium is-pulled-right" disabled title="Excel export not available">
		<span class="icon">
		<i class="fas fa-file-excel"></i>
		</span>
		<span>Download as Excel</span>
		</button>
		{% endif %}
		<div style="clear: both;"></div>
		</div>
		</div>

		<!-- Yearly Summary -->
		<div class="box">
		<div class="level">
		<div class="level-left">
		<div class="level-item">
		<h3 class="title is-4">Yearly Summary</h3>
		</div>
		</div>
		<div class="level-right">
		<div class="level-item">
		<div class="notification is-info is-light">
		<strong>Tip:</strong> Download the Excel file to perform your own analysis!
		</div>
		</div>
		</div>
		</div>
		<div class="table-container">
		<table class="table is-fullwidth is-striped">
		<thead>