consultoria-as
e95f7cf684
Major features: - Pixel-Perfect glassmorphism design (landing + POS + public catalog) - OEM/Local catalog toggle with Nexpart taxonomy (14 groups, 108 subgroups, 558 part types) - Marketplace B2B Phase 1 (bodegas, POs, status machine, WA+email notifications) - Peer-to-peer inventory (multi-instance, LAN discovery) - WhatsApp: photo→Vision AI, voice→Whisper, conversational quotations - Smart unified search (VIN/plate/part_number/keyword auto-detect) - Shop Supplies tab (vehicle-independent parts) - Chatbot AI fallback chain (5 models) + response cache - CSV inventory import tool + setup_instance.sh installer - Tablet-responsive CSS + sidebar toggle - Filters, export CSV, employee edit, business data save - Quotation system (WA→POS) with auto-print on confirmation - Live stats on landing page Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
130 lines
4.8 KiB
Python
130 lines
4.8 KiB
Python
"""
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Catalog modes — OEM vs Local bodega filtering for brand lists.
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Two catalog modes coexist:
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- 'oem' : Full TecDoc catalog (36+ vehicle brands from Apify import).
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Use this for any customer-facing "find your exact OEM part" flow.
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- 'local' : Curated list of vehicle brands that local bodegas in Mexico
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actually service. Used while the TecDoc/Apify import is paused
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or to simplify navigation for customers who only care about
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what's available locally.
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Both modes use the SAME navigation hierarchy (brand > model > year > engine >
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category > parts). Only the initial brand list is filtered.
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Edit LOCAL_BODEGA_BRANDS below to add/remove brands as the bodega network grows.
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Brand names must match the `brands.name_brand` column in nexus_autoparts
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(case-sensitive, uppercase).
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"""
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# ─── OEM mode — full North America coverage (imported from TecDoc) ──────────
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OEM_BRANDS_NA = (
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'ACURA', 'AUDI', 'BMW', 'BUICK', 'CADILLAC', 'CHEVROLET', 'CHRYSLER',
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'DODGE', 'FIAT', 'FORD', 'GMC', 'HONDA', 'HYUNDAI', 'INFINITI',
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'JAGUAR', 'JEEP', 'KIA', 'LAND ROVER', 'LEXUS', 'LINCOLN', 'MAZDA',
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'MERCEDES-BENZ', 'MINI', 'MITSUBISHI', 'NISSAN', 'PEUGEOT', 'PORSCHE',
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'RAM', 'RENAULT', 'SEAT', 'SUBARU', 'SUZUKI', 'TESLA', 'TOYOTA',
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'VOLVO', 'VW',
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)
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# ─── Local mode — brands actually stocked by Mexican bodegas ────────────────
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# Popular Mexican market passenger cars + light trucks. Edit as needed.
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LOCAL_BODEGA_BRANDS = (
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'NISSAN', # Tsuru, Sentra, Versa, March, Tiida, Navara
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'VW', # Jetta, Pointer, Vento, Gol, Polo, Beetle
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'CHEVROLET', # Aveo, Chevy, Spark, Beat, Sonic, Sail
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'FORD', # Fiesta, Focus, EcoSport, Ranger, Figo
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'TOYOTA', # Corolla, Yaris, Hilux, Avanza, Tacoma
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'HONDA', # Civic, City, CR-V, Fit, HR-V
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'DODGE', # Attitude, Neon, Journey
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'CHRYSLER',
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'RAM', # Pickups
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'HYUNDAI', # Accent, Grand i10, Tucson, Elantra
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'KIA', # Rio, Forte, Sportage, Sorento
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'MAZDA', # 2, 3, CX-5, CX-30
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'MITSUBISHI', # Lancer, L200, Outlander
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'RENAULT', # Logan, Sandero, Duster, Stepway
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'SEAT', # Ibiza, Leon, Arona
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'FIAT', # Uno, Palio, Mobi
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'SUZUKI', # Swift, Vitara, Ignis, Ertiga
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'JEEP', # Compass, Wrangler, Grand Cherokee, Renegade
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'GMC', # Sierra, Terrain
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'BUICK', # Encore, Enclave (GM)
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)
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def get_brands_for_mode(mode):
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"""Return the tuple of allowed brand names for a given catalog mode.
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Args:
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mode: 'oem' or 'local'. Anything else defaults to 'oem'.
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Returns:
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A tuple of uppercase brand name strings.
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"""
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if mode == 'local':
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return LOCAL_BODEGA_BRANDS
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return OEM_BRANDS_NA
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def normalize_mode(raw):
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"""Normalize a raw mode string from a query param or header."""
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if not raw:
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return 'oem'
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cleaned = str(raw).strip().lower()
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return 'local' if cleaned == 'local' else 'oem'
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# ─── Local mode — priority aftermarket manufacturer brands ─────────────────
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# Ordered list. Brands earlier in the list are shown first and get the top
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# "priority" badge in the UI. Match `manufacturers.name_manufacture` (uppercase).
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#
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# Tier 1 (most trusted / most stocked in Mexican bodegas) — shown first.
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# Tier 2 (also popular but not always on every shelf) — shown second.
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# Anything not in either list is "other" and shown last.
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LOCAL_PRIORITY_MANUFACTURERS_TIER1 = (
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'BOSCH', # Universal — ignition, sensors, filters, wipers
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'GATES', # Bandas / timing belts
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'MONROE', # Amortiguadores
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'DENSO', # Ignition, cooling, AC
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'MANN-FILTER', # Filtros
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'MAHLE', # Filtros, pistones, termostatos
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'NGK', # Bujias
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'BREMBO', # Frenos premium
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'KYB', # Amortiguadores
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'SKF', # Rodamientos
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)
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LOCAL_PRIORITY_MANUFACTURERS_TIER2 = (
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'DELPHI',
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'VALEO',
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'HELLA',
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'DAYCO',
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'SACHS',
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'CHAMPION',
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'WAGNER',
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'FRAM',
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'NSK',
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)
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# Combined flat tuple (Tier1 followed by Tier2) — used for SQL IN clauses
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# and for determining "any priority" status.
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LOCAL_PRIORITY_MANUFACTURERS = LOCAL_PRIORITY_MANUFACTURERS_TIER1 + LOCAL_PRIORITY_MANUFACTURERS_TIER2
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def get_priority_tier(manufacturer_name):
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"""Return 1 for tier 1, 2 for tier 2, 3 for everything else.
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Used both by the sort order and by the UI to render a priority badge.
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"""
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if not manufacturer_name:
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return 3
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name = manufacturer_name.upper()
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if name in LOCAL_PRIORITY_MANUFACTURERS_TIER1:
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return 1
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if name in LOCAL_PRIORITY_MANUFACTURERS_TIER2:
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return 2
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return 3
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