Fix mock tests

wiki/EXPERT_ANALITICS.sql

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+-- Extend 'lots' table
+ALTER TABLE lots
+    ADD COLUMN starting_bid DECIMAL(12, 2);
+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 view_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);
+-- bids per hour
+
+-- New table: bid history (CRITICAL)
+CREATE TABLE bid_history
+(
+    id         INTEGER PRIMARY KEY AUTOINCREMENT,
+    lot_id     TEXT REFERENCES lots (lot_id),
+    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, -- anonymized
+    created_at TEXT    DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE INDEX idx_bid_history_lot_time ON bid_history (lot_id, bid_time);
+-- Extend 'lots' table
+ALTER TABLE lots
+    ADD COLUMN condition_score DECIMAL(3, 2); -- 0.00-10.00
+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 originality_score DECIMAL(3, 2); -- % original parts
+ALTER TABLE lots
+    ADD COLUMN provenance TEXT;
+ALTER TABLE lots
+    ADD COLUMN comparable_lot_ids TEXT;
+-- JSON array
+
+-- New table: comparable sales
+CREATE TABLE comparable_sales
+(
+    id                       INTEGER PRIMARY KEY AUTOINCREMENT,
+    lot_id                   TEXT REFERENCES lots (lot_id),
+    comparable_lot_id        TEXT,
+    similarity_score         DECIMAL(3, 2), -- 0.00-1.00
+    price_difference_percent DECIMAL(5, 2),
+    created_at               TEXT DEFAULT CURRENT_TIMESTAMP
+);
+
+-- New table: market indices
+CREATE TABLE market_indices
+(
+    id                INTEGER PRIMARY KEY AUTOINCREMENT,
+    category          TEXT NOT NULL,
+    manufacturer      TEXT,
+    avg_price         DECIMAL(12, 2),
+    median_price      DECIMAL(12, 2),
+    price_change_30d  DECIMAL(5, 2),
+    volume_change_30d DECIMAL(5, 2),
+    calculated_at     TEXT DEFAULT CURRENT_TIMESTAMP
+);
+-- Extend 'auctions' table
+ALTER TABLE auctions
+    ADD COLUMN auction_house TEXT;
+ALTER TABLE auctions
+    ADD COLUMN auction_house_rating DECIMAL(3, 2);
+ALTER TABLE auctions
+    ADD COLUMN buyers_premium_percent DECIMAL(5, 2);
+ALTER TABLE auctions
+    ADD COLUMN payment_methods TEXT; -- JSON
+ALTER TABLE auctions
+    ADD COLUMN shipping_cost_min DECIMAL(12, 2);
+ALTER TABLE auctions
+    ADD COLUMN shipping_cost_max DECIMAL(12, 2);
+ALTER TABLE auctions
+    ADD COLUMN seller_verified BOOLEAN DEFAULT FALSE;
+
+-- New table: auction performance metrics
+CREATE TABLE auction_metrics
+(
+    id                     INTEGER PRIMARY KEY AUTOINCREMENT,
+    auction_id             TEXT REFERENCES auctions (auction_id),
+    sell_through_rate      DECIMAL(5, 2),
+    avg_hammer_vs_estimate DECIMAL(5, 2),
+    total_hammer_price     DECIMAL(15, 2),
+    total_starting_price   DECIMAL(15, 2),
+    calculated_at          TEXT DEFAULT CURRENT_TIMESTAMP
+);
+
+-- New table: seasonal trends
+CREATE TABLE seasonal_trends
+(
+    id                   INTEGER PRIMARY KEY AUTOINCREMENT,
+    category             TEXT    NOT NULL,
+    month                INTEGER NOT NULL,
+    avg_price_multiplier DECIMAL(4, 2), -- vs annual avg
+    volume_multiplier    DECIMAL(4, 2),
+    PRIMARY KEY (category, month)
+);
+-- New table: external market data
+CREATE TABLE external_market_data
+(
+    id                  INTEGER PRIMARY KEY AUTOINCREMENT,
+    category            TEXT NOT NULL,
+    manufacturer        TEXT,
+    model               TEXT,
+    dealer_avg_price    DECIMAL(12, 2),
+    retail_avg_price    DECIMAL(12, 2),
+    wholesale_avg_price DECIMAL(12, 2),
+    source              TEXT,
+    fetched_at          TEXT DEFAULT CURRENT_TIMESTAMP
+);
+
+-- New table: image analysis results
+CREATE TABLE image_analysis
+(
+    id                   INTEGER PRIMARY KEY AUTOINCREMENT,
+    image_id             INTEGER REFERENCES images (id),
+    damage_detected      BOOLEAN,
+    damage_severity      DECIMAL(3, 2),
+    wear_level           TEXT CHECK (wear_level IN ('EXCELLENT', 'GOOD', 'FAIR', 'POOR')),
+    estimated_hours_used INTEGER,
+    ai_confidence        DECIMAL(3, 2)
+);
+
+-- New table: economic indicators
+CREATE TABLE economic_indicators
+(
+    id                INTEGER PRIMARY KEY AUTOINCREMENT,
+    indicator_date    TEXT NOT NULL,
+    currency          TEXT NOT NULL,
+    exchange_rate     DECIMAL(10, 4),
+    inflation_rate    DECIMAL(5, 2),
+    market_volatility DECIMAL(5, 2)
+);

wiki/EXPERT_ANALITICS_PRIORITY.md

@@ -0,0 +1,38 @@
+```mermaid
+graph TD
+    A[Add bid_history table] --> B[Add watch_count + estimates]
+    B --> C[Create market_indices]
+    C --> D[Add condition + year fields]
+    D --> E[Build comparable matching]
+    E --> F[Enrich with auction house data]
+    F --> G[Add AI image analysis]
+```
+
+| Current Practice      | New Requirement                 | Why                       |
+|-----------------------|---------------------------------|---------------------------|
+| Scrape once per hour  | **Scrape every bid update**     | Capture velocity & timing |
+| Save only current bid | **Save full bid history**       | Detect patterns & sniping |
+| Ignore watchers       | **Track watch\_count**          | Predict competition       |
+| Skip auction metadata | **Capture house estimates**     | Anchor valuations         |
+| No historical data    | **Store sold prices**           | Train prediction models   |
+| Basic text scraping   | **Parse condition/serial/year** | Enable comparables        |
+
+
+```bazaar
+Week 1-2: Foundation
+Implement bid_history scraping (most critical)
+Add watch_count, starting_bid, estimated_min/max fields
+Calculate basic bid_velocity
+Week 3-4: Valuation
+Extract year_manufactured, manufacturer, condition_description
+Create market_indices (manually or via external API)
+Build comparable lot matching logic
+Week 5-6: Intelligence Layer
+Add auction house performance tracking
+Implement undervaluation detection algorithm
+Create price alert system
+Week 7-8: Automation
+Integrate image analysis API
+Add economic indicator tracking
+Refine ML-based price predictions
+```