f8512149b5
Features: - Automated login and PDF download from Bygma - GPT-4o AI analysis of installation manuals - Extracts: steps, time estimates, tools, safety, materials, skill level - Direct database storage (installation_manuals table) - Auto-cleanup: deletes PDFs after analysis to save space - Node.js integration for quote generation New files: - scrape_and_analyze_bygma.py - Main automated scraper - scrape_bygma_with_login.py - Simple download script - analyze_manual_pdfs.py - Standalone PDF analyzer - get_installation_tasks.js - Node.js quote integration - demo_tilbud_opgave.js - Working demo - BYGMA_AUTOMATION_README.md - Complete documentation Database: - installation_manuals table with JSON fields - Sample data: 1 manual analyzed (Cembrit Bølgeplader) Integration: - getInstallationTask(productName, quantity) function - Returns formatted task descriptions for quotes - Time calculations: 2.5 hours/m² example Cleanup: - Removed old test scripts and debug files - Removed downloaded PDFs (saved to database) - Organized documentation files
74 lines
2.1 KiB
SQL
74 lines
2.1 KiB
SQL
-- SQL Queries til at hente monteringsopgaver for tilbud
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-- 1. Hent komplet opgavebeskrivelse for et materiale
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SELECT
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product_name,
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manufacturer,
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time_estimate_per_unit,
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time_unit,
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skill_level,
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installation_steps,
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key_points,
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weather_conditions
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FROM installation_manuals
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WHERE product_name LIKE '%Bølgeplade%';
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-- 2. Hent installation steps som tekstliste (til opgavebeskrivelse)
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SELECT
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product_name,
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GROUP_CONCAT(
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CONCAT(step_num, '. ', step_text)
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ORDER BY step_num
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SEPARATOR '\n'
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) as opgave_beskrivelse
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FROM (
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SELECT
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product_name,
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(@row_number:=@row_number + 1) as step_num,
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JSON_UNQUOTE(JSON_EXTRACT(installation_steps, CONCAT('$[', @row_number - 1, ']'))) as step_text
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FROM installation_manuals,
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(SELECT @row_number:=0) as t
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WHERE JSON_LENGTH(installation_steps) > 0
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) steps
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GROUP BY product_name;
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-- 3. Beregn opgavetid for specifik mængde
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SELECT
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product_name,
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time_estimate_per_unit,
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50 as quantity_m2, -- Eksempel: 50 m²
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(time_estimate_per_unit * 50) as total_hours,
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CEIL((time_estimate_per_unit * 50) / 8) as work_days
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FROM installation_manuals
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WHERE product_name LIKE '%Bølgeplade%';
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-- 4. Hent key points som bullet points (til tilbud)
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SELECT
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product_name,
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JSON_UNQUOTE(JSON_EXTRACT(key_points, '$[0]')) as key_point_1,
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JSON_UNQUOTE(JSON_EXTRACT(key_points, '$[1]')) as key_point_2,
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JSON_UNQUOTE(JSON_EXTRACT(key_points, '$[2]')) as key_point_3,
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JSON_UNQUOTE(JSON_EXTRACT(key_points, '$[3]')) as key_point_4,
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JSON_UNQUOTE(JSON_EXTRACT(key_points, '$[4]')) as key_point_5
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FROM installation_manuals;
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-- 5. Formater installation steps til brug i PDF tilbud
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SELECT
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id,
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product_name,
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CONCAT(
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'MONTAGEVEJLEDNING FOR ', UPPER(product_name), '\n\n',
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'Estimeret tid: ', time_estimate_per_unit, ' timer per m²\n',
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'Sværhedsgrad: ',
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CASE skill_level
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WHEN 'let' THEN 'Let ⭐'
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WHEN 'medium' THEN 'Medium ⭐⭐'
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WHEN 'svær' THEN 'Svær ⭐⭐⭐'
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END, '\n\n',
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'MONTERINGSTRIN:\n',
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installation_steps,
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'\n\nVEJRFORHOLD:\n',
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COALESCE(weather_conditions, 'Ingen specifikke krav')
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) as tilbud_beskrivelse
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FROM installation_manuals;
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