Initial commit: Shop Database Flask Application
Flask backend with Vue 3 frontend for shop floor machine management. Includes database schema export for MySQL shopdb_flask database. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
cproudlock
203
shopdb/core/api/search.py
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203
shopdb/core/api/search.py
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"""Global search API endpoint."""
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from flask import Blueprint, request
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from flask_jwt_extended import jwt_required
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from shopdb.extensions import db
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from shopdb.core.models import (
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Machine, Application, KnowledgeBase
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)
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from shopdb.utils.responses import success_response
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search_bp = Blueprint('search', __name__)
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@search_bp.route('', methods=['GET'])
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@jwt_required(optional=True)
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def global_search():
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"""
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Global search across multiple entity types.
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Returns combined results from:
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- Machines (equipment and PCs)
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- Applications
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- Knowledge Base articles
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- Printers (if available)
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Results are sorted by relevance score.
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"""
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query = request.args.get('q', '').strip()
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if not query or len(query) < 2:
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return success_response({
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'results': [],
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'query': query,
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'message': 'Search query must be at least 2 characters'
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})
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if len(query) > 200:
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return success_response({
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'results': [],
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'query': query[:200],
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'message': 'Search query too long'
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})
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results = []
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search_term = f'%{query}%'
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# Search Machines (Equipment and PCs)
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machines = Machine.query.filter(
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Machine.isactive == True,
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db.or_(
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Machine.machinenumber.ilike(search_term),
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Machine.alias.ilike(search_term),
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Machine.hostname.ilike(search_term),
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Machine.serialnumber.ilike(search_term),
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Machine.notes.ilike(search_term)
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)
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).limit(10).all()
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for m in machines:
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# Determine type: PC, Printer, or Equipment
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is_pc = m.pctypeid is not None
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is_printer = m.is_printer
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# Calculate relevance - exact matches score higher
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relevance = 15
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if m.machinenumber and query.lower() == m.machinenumber.lower():
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relevance = 100
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elif m.hostname and query.lower() == m.hostname.lower():
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relevance = 100
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elif m.alias and query.lower() in m.alias.lower():
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relevance = 50
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display_name = m.hostname if is_pc and m.hostname else m.machinenumber
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if m.alias and not is_pc:
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display_name = f"{m.machinenumber} ({m.alias})"
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# Determine result type and URL
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if is_printer:
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result_type = 'printer'
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url = f"/printers/{m.machineid}"
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elif is_pc:
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result_type = 'pc'
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url = f"/pcs/{m.machineid}"
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else:
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result_type = 'machine'
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url = f"/machines/{m.machineid}"
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# Get location - prefer machine's own location, fall back to parent machine's location
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location_name = None
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if m.location:
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location_name = m.location.locationname
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elif m.parent_relationships:
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# Check parent machines for location
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for rel in m.parent_relationships:
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if rel.parent_machine and rel.parent_machine.location:
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location_name = rel.parent_machine.location.locationname
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break
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# Get machinetype from model (single source of truth)
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mt = m.derived_machinetype
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results.append({
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'type': result_type,
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'id': m.machineid,
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'title': display_name,
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'subtitle': mt.machinetype if mt else None,
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'location': location_name,
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'url': url,
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'relevance': relevance
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})
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# Search Applications
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apps = Application.query.filter(
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Application.isactive == True,
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db.or_(
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Application.appname.ilike(search_term),
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Application.appdescription.ilike(search_term)
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)
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).limit(10).all()
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for app in apps:
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relevance = 20
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if query.lower() == app.appname.lower():
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relevance = 100
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elif query.lower() in app.appname.lower():
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relevance = 50
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results.append({
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'type': 'application',
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'id': app.appid,
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'title': app.appname,
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'subtitle': app.appdescription[:100] if app.appdescription else None,
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'url': f"/applications/{app.appid}",
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'relevance': relevance
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})
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# Search Knowledge Base
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kb_articles = KnowledgeBase.query.filter(
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KnowledgeBase.isactive == True,
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db.or_(
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KnowledgeBase.shortdescription.ilike(search_term),
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KnowledgeBase.keywords.ilike(search_term)
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)
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).limit(20).all()
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for kb in kb_articles:
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# Weight by clicks and keyword match
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relevance = 10 + (kb.clicks or 0) * 0.1
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if kb.keywords and query.lower() in kb.keywords.lower():
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relevance += 15
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results.append({
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'type': 'knowledgebase',
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'id': kb.linkid,
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'title': kb.shortdescription,
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'subtitle': kb.application.appname if kb.application else None,
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'url': f"/knowledgebase/{kb.linkid}",
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'linkurl': kb.linkurl,
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'relevance': relevance
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})
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# Search Printers (check if printers model exists)
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try:
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from shopdb.plugins.printers.models import Printer
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printers = Printer.query.filter(
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Printer.isactive == True,
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db.or_(
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Printer.printercsfname.ilike(search_term),
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Printer.printerwindowsname.ilike(search_term),
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Printer.serialnumber.ilike(search_term),
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Printer.fqdn.ilike(search_term)
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)
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).limit(10).all()
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for p in printers:
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relevance = 15
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if p.printercsfname and query.lower() == p.printercsfname.lower():
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relevance = 100
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display_name = p.printercsfname or p.printerwindowsname or f"Printer #{p.printerid}"
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results.append({
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'type': 'printer',
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'id': p.printerid,
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'title': display_name,
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'subtitle': p.printerwindowsname if p.printercsfname else None,
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'url': f"/printers/{p.printerid}",
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'relevance': relevance
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})
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except ImportError:
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pass # Printers plugin not installed
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# Sort by relevance (highest first)
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results.sort(key=lambda x: x['relevance'], reverse=True)
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# Limit total results
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results = results[:30]
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return success_response({
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'results': results,
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'query': query,
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'total': len(results)
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})
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