1d79f4710d
- Added SimpleAnalyticsPopulator class for populating project, employee, customer analytics, and daily metrics. - Integrated MySQL database connections for tilbudgivern and ordrestyring_local databases. - Developed sync_ordrestyring_data_old.sh script for comprehensive data synchronization from Ordrestyring API. - Created test scripts for analytics API and services to validate functionality and data integrity. - Introduced FixedHistoricalQuoteCalculator and HistoricalQuoteCalculator for generating quotes based on historical data. - Implemented vary-profit-margins.js to introduce variability in profit margins based on project size and customer type.
66 lines
2.7 KiB
JavaScript
66 lines
2.7 KiB
JavaScript
const mysql = require('mysql2/promise');
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const dbConfig = {
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host: 'localhost',
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user: 'ordrestyring_user',
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password: 'secure_password123',
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database: 'ordrestyring_local'
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};
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async function findAlgorithmBug() {
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const connection = await mysql.createConnection(dbConfig);
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console.log('=== ALGORITHM BUG ANALYSIS ===\n');
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// Test the actual algorithm step by step
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// 1. Check market hours data
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const [marketHours] = await connection.execute(`
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SELECT
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COUNT(*) as total_entries,
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AVG(oh.duration_hours) as avg_hours_per_task,
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AVG(ocm.total_sales / oh.duration_hours) as avg_hourly_rate
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FROM ordrestyring_hours oh
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LEFT JOIN ordrestyring_case_materials ocm ON oh.case_number = ocm.case_number
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WHERE oh.duration_hours > 0
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AND ocm.total_sales > 0
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LIMIT 1
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`);
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console.log('MARKET DATA:');
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console.log('- Total timer entries:', marketHours[0].total_entries);
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console.log('- Gennemsnit timer per task:', Number(marketHours[0].avg_hours_per_task || 0).toFixed(2));
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console.log('- Gennemsnit timepris:', Number(marketHours[0].avg_hourly_rate || 0).toFixed(2));
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// 2. Test the faulty calculation
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const avgHoursPerTask = Number(marketHours[0].avg_hours_per_task || 8);
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const baseHoursNewCustomer = avgHoursPerTask * 25; // This is the problem!
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console.log('\n=== BUG IDENTIFIED ===');
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console.log(`Avg hours per task: ${avgHoursPerTask}`);
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console.log(`Base hours for new customer: ${avgHoursPerTask} * 25 = ${baseHoursNewCustomer}`);
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console.log(`Dette giver: ${baseHoursNewCustomer * 1.0 * 1.1} timer efter multipliers`);
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console.log(`Med timepris 450kr: ${baseHoursNewCustomer * 1.0 * 1.1 * 450} kr labor cost`);
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// 3. Check what a realistic calculation should be
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const [realisticData] = await connection.execute(`
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SELECT
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AVG(oh.duration_hours) as avg_hours,
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COUNT(DISTINCT oh.case_number) as cases,
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AVG(ocm.total_sales) as avg_case_value
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FROM ordrestyring_hours oh
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LEFT JOIN ordrestyring_case_materials ocm ON oh.case_number = ocm.case_number
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WHERE oh.duration_hours BETWEEN 800 AND 1200
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AND ocm.total_sales > 0
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`);
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console.log('\n=== REALISTIC COMPARISON ===');
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console.log('Cases with 800-1200 timer:');
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console.log('- Gennemsnit timer:', Number(realisticData[0].avg_hours || 0).toFixed(2));
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console.log('- Antal cases:', realisticData[0].cases);
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console.log('- Gennemsnit case værdi:', Number(realisticData[0].avg_case_value || 0).toFixed(0));
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await connection.end();
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}
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findAlgorithmBug().catch(console.error); |