feat: add Amazon seller and buy box share metrics to product analysis

- Introduced `amazonIsSeller` and `amazonBuyboxSharePct90d` fields in KeepaData type.
- Updated database schema and queries to store Amazon seller status and buy box share percentage.
- Enhanced product analysis results with new metrics from Keepa API.
- Modified frontend components to display Amazon seller status and buy box share percentage.
- Implemented reanalysis functionality for products to refresh Amazon-related metrics.

src/writer.ts

@@ -30,6 +30,9 @@ function buildRow(r: AnalysisResult) {
     "Sales Rank": rank ?? "",
     "Rank Avg 90d": r.product.keepa?.salesRankAvg90 ?? "",
     Sellers: r.product.keepa?.sellerCount ?? "",
+    "Amazon Is Seller": r.product.keepa?.amazonIsSeller ?? null,
+    "Amazon Buy Box Share 90d %":
+      r.product.keepa?.amazonBuyboxSharePct90d ?? "",
     "Monthly Sold": r.product.keepa?.monthlySold ?? "",
     "Rank Drops 30d": r.product.keepa?.salesRankDrops30 ?? "",
     "Rank Drops 90d": r.product.keepa?.salesRankDrops90 ?? "",
@@ -106,14 +109,15 @@ export function writeResultsToDb(
     `INSERT INTO results (
       run_id, asin, product_name, brand, category, unit_cost, current_price,
       avg_price_90d, avg_price_90d_sheet, selling_price_sheet, sales_rank, rank_avg_90d,
-      sellers, monthly_sold, rank_drops_30d, rank_drops_90d, fba_net_sheet,
+      sellers, amazon_is_seller, amazon_buybox_share_pct_90d,
+      monthly_sold, rank_drops_30d, rank_drops_90d, fba_net_sheet,
       gross_profit_dollar, gross_profit_pct, net_profit_sheet, roi_sheet, moq, moq_cost,
       qty_available, supplier, source_url, asin_link, promo_coupon_code, notes, lead_date,
       fba_fee, fbm_fee, referral_percent, can_sell, sellability_status, sellability_reason,
       verdict, confidence, reasoning, fetched_at
     ) VALUES (
       ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
-      ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?
+      ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?
     )`,
   );
 
@@ -134,6 +138,12 @@ export function writeResultsToDb(
         row["Sales Rank"] ?? null,
         row["Rank Avg 90d"] ?? null,
         row.Sellers ?? null,
+        row["Amazon Is Seller"] == null
+          ? null
+          : row["Amazon Is Seller"]
+            ? 1
+            : 0,
+        row["Amazon Buy Box Share 90d %"] ?? null,
         row["Monthly Sold"] ?? null,
         row["Rank Drops 30d"] ?? null,
         row["Rank Drops 90d"] ?? null,