scaev/COMPREHENSIVE_UPDATE_PLAN.md

Comprehensive Data Enrichment Plan

Current Status: Working Features

✅ Image downloads (concurrent) ✅ Basic bid data (current_bid, starting_bid, minimum_bid, bid_count, closing_time) ✅ Status extraction ✅ Brand/Model from attributes ✅ Attributes JSON storage

Phase 1: Core Bidding Intelligence (HIGH PRIORITY)

Data Sources Identified:

1. GraphQL lot bidding API - Already integrated

   • currentBidAmount, initialAmount, bidsCount
   • startDate, endDate (for first_bid_time calculation)

2. REST bid history API ✨ NEW DISCOVERY

   • Endpoint: https://shared-api.tbauctions.com/bidmanagement/lots/{lot_uuid}/bidding-history
   • Returns: bid amounts, timestamps, autobid flags, bidder IDs
   • Pagination supported

Database Schema Changes:

-- Extend lots table with bidding intelligence
ALTER TABLE lots ADD COLUMN estimated_min DECIMAL(12,2);
ALTER TABLE lots ADD COLUMN estimated_max DECIMAL(12,2);
ALTER TABLE lots ADD COLUMN reserve_price DECIMAL(12,2);
ALTER TABLE lots ADD COLUMN reserve_met BOOLEAN DEFAULT FALSE;
ALTER TABLE lots ADD COLUMN bid_increment DECIMAL(12,2);
ALTER TABLE lots ADD COLUMN watch_count INTEGER DEFAULT 0;
ALTER TABLE lots ADD COLUMN first_bid_time TEXT;
ALTER TABLE lots ADD COLUMN last_bid_time TEXT;
ALTER TABLE lots ADD COLUMN bid_velocity DECIMAL(5,2);

-- NEW: Bid history table
CREATE TABLE IF NOT EXISTS bid_history (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    lot_id TEXT NOT NULL,
    lot_uuid TEXT NOT NULL,
    bid_amount DECIMAL(12,2) NOT NULL,
    bid_time TEXT NOT NULL,
    is_winning BOOLEAN DEFAULT FALSE,
    is_autobid BOOLEAN DEFAULT FALSE,
    bidder_id TEXT,
    bidder_number INTEGER,
    created_at TEXT DEFAULT CURRENT_TIMESTAMP,
    FOREIGN KEY (lot_id) REFERENCES lots(lot_id)
);

CREATE INDEX IF NOT EXISTS idx_bid_history_lot_time ON bid_history(lot_id, bid_time);
CREATE INDEX IF NOT EXISTS idx_bid_history_bidder ON bid_history(bidder_id);

Implementation:

• Add fetch_bid_history() function to call REST API
• Parse and store all historical bids
• Calculate bid_velocity (bids per hour)
• Extract first_bid_time, last_bid_time

Phase 2: Valuation Intelligence

Data Sources:

1. Attributes array (already in NEXT_DATA)

   • condition, year, manufacturer, model, serial_number

2. Description field

   • Extract year patterns, condition mentions, damage descriptions

Database Schema:

-- Valuation fields
ALTER TABLE lots ADD COLUMN condition_score DECIMAL(3,2);
ALTER TABLE lots ADD COLUMN condition_description TEXT;
ALTER TABLE lots ADD COLUMN year_manufactured INTEGER;
ALTER TABLE lots ADD COLUMN serial_number TEXT;
ALTER TABLE lots ADD COLUMN manufacturer TEXT;
ALTER TABLE lots ADD COLUMN damage_description TEXT;
ALTER TABLE lots ADD COLUMN provenance TEXT;

Implementation:

• Parse attributes for: Jaar, Conditie, Serienummer, Fabrikant
• Extract 4-digit years from title/description
• Map condition values to 0-10 scale

Phase 3: Auction House Intelligence

Data Sources:

1. GraphQL auction query

   • Already partially working

2. Auction NEXT_DATA

   • May contain buyer's premium, shipping costs

Database Schema:

ALTER TABLE auctions ADD COLUMN buyers_premium_percent DECIMAL(5,2);
ALTER TABLE auctions ADD COLUMN shipping_available BOOLEAN;
ALTER TABLE auctions ADD COLUMN payment_methods TEXT;

Viewing/Pickup Times Resolution

Finding:

• viewingDays and collectionDays in GraphQL only return location (city, countryCode)
• Times are NOT in the GraphQL API
• Times must be in auction NEXT_DATA or not set for many auctions

Solution:

• Mark viewing_time/pickup_date as "location only" when times unavailable
• Store: "Nijmegen, NL" instead of full date/time string
• Accept that many auctions don't have viewing times set

Priority Implementation Order:

1. BID HISTORY API (30 min) - Highest value

   • Fetch and store all bid history
   • Calculate bid_velocity
   • Track autobid patterns

2. ENRICHED ATTRIBUTES (20 min) - Medium-high value

   • Extract year, condition, manufacturer from existing data
   • Parse description for damage/condition mentions

3. VIEWING/PICKUP FIX (10 min) - Low value (data often missing)

   • Update to store location-only when times unavailable

Data Quality Expectations:

Field	Coverage Expected	Source
bid_history	100% (for lots with bids)	REST API
bid_velocity	100% (calculated)	Derived
year_manufactured	~40%	Attributes/Title
condition_score	~30%	Attributes
manufacturer	~60%	Attributes
viewing_time	~20%	Often not set
buyers_premium	100%	GraphQL/Props

Estimated Total Implementation Time: 60-90 minutes