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

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- 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.
This commit is contained in:
Victor Noguera
2026-04-14 18:26:22 -04:00
parent 4eff4a4a2a
commit 8d6b0f9e0f
9 changed files with 1085 additions and 55 deletions
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41
src/database.ts
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@@ -36,6 +36,8 @@ function createProductAnalysisResultsTable(database: Database): void {
sales_rank INTEGER,
sales_rank_avg_90d INTEGER,
seller_count INTEGER,
amazon_is_seller INTEGER,
amazon_buybox_share_pct_90d REAL,
monthly_sold INTEGER,
rank_drops_30d INTEGER,
rank_drops_90d INTEGER,
@@ -92,7 +94,9 @@ function ensureProductAnalysisResultsTable(database: Database): void {
asin, run_id, name, brand, category, unit_cost,
current_price, avg_price_90d, avg_price_90d_sheet,
selling_price_sheet, sales_rank, sales_rank_avg_90d,
seller_count, monthly_sold, rank_drops_30d, rank_drops_90d,
seller_count, NULL AS amazon_is_seller,
NULL AS amazon_buybox_share_pct_90d,
monthly_sold, rank_drops_30d, rank_drops_90d,
fba_fee, fbm_fee, referral_percent, can_sell,
sellability_status, sellability_reason,
verdict, confidence, reasoning, fetched_at,
@@ -106,7 +110,8 @@ function ensureProductAnalysisResultsTable(database: Database): void {
asin, run_id, name, brand, category, unit_cost,
current_price, avg_price_90d, avg_price_90d_sheet,
selling_price_sheet, sales_rank, sales_rank_avg_90d,
seller_count, monthly_sold, rank_drops_30d, rank_drops_90d,
seller_count, amazon_is_seller, amazon_buybox_share_pct_90d,
monthly_sold, rank_drops_30d, rank_drops_90d,
fba_fee, fbm_fee, referral_percent, can_sell,
sellability_status, sellability_reason,
verdict, confidence, reasoning, fetched_at
@@ -115,7 +120,8 @@ function ensureProductAnalysisResultsTable(database: Database): void {
asin, run_id, name, brand, category, unit_cost,
current_price, avg_price_90d, avg_price_90d_sheet,
selling_price_sheet, sales_rank, sales_rank_avg_90d,
seller_count, monthly_sold, rank_drops_30d, rank_drops_90d,
seller_count, amazon_is_seller, amazon_buybox_share_pct_90d,
monthly_sold, rank_drops_30d, rank_drops_90d,
fba_fee, fbm_fee, referral_percent, can_sell,
sellability_status, sellability_reason,
verdict, confidence, reasoning, fetched_at
@@ -126,6 +132,30 @@ function ensureProductAnalysisResultsTable(database: Database): void {
}
}
function ensureProductAnalysisResultsColumns(database: Database): void {
const tableInfo = database
.query("PRAGMA table_info(product_analysis_results)")
.all() as Array<{ name: string }>;
if (tableInfo.length === 0) {
return;
}
const existingColumns = new Set(tableInfo.map((col) => col.name));
const requiredColumns: Array<{ name: string; type: string }> = [
{ name: "amazon_is_seller", type: "INTEGER" },
{ name: "amazon_buybox_share_pct_90d", type: "REAL" },
];
for (const column of requiredColumns) {
if (!existingColumns.has(column.name)) {
database.run(
`ALTER TABLE product_analysis_results ADD COLUMN ${column.name} ${column.type}`,
);
}
}
}
function ensureResultsTableColumns(database: Database): void {
const tableInfo = database
.query("PRAGMA table_info(results)")
@@ -151,6 +181,8 @@ function ensureResultsTableColumns(database: Database): void {
{ name: "promo_coupon_code", type: "TEXT" },
{ name: "notes", type: "TEXT" },
{ name: "lead_date", type: "TEXT" },
{ name: "amazon_is_seller", type: "INTEGER" },
{ name: "amazon_buybox_share_pct_90d", type: "REAL" },
];
for (const column of requiredColumns) {
@@ -192,6 +224,8 @@ export function initDb(dbPath: string): void {
sales_rank INTEGER,
rank_avg_90d INTEGER,
sellers INTEGER,
amazon_is_seller INTEGER,
amazon_buybox_share_pct_90d REAL,
monthly_sold INTEGER,
rank_drops_30d INTEGER,
rank_drops_90d INTEGER,
@@ -239,6 +273,7 @@ export function initDb(dbPath: string): void {
);
`);
ensureProductAnalysisResultsTable(database);
ensureProductAnalysisResultsColumns(database);
database.run(
`CREATE INDEX IF NOT EXISTS idx_runs_timestamp ON runs(timestamp DESC);`,