Files
asin-check/src/writer.ts
Victor Noguera 8d6b0f9e0f 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.
2026-04-14 18:26:22 -04:00

265 lines
9.0 KiB
TypeScript

import { getDb } from "./database.ts";
import type { AnalysisResult } from "./types.ts";
function buildRow(r: AnalysisResult) {
const price =
r.product.keepa?.currentPrice ??
r.product.record.sellingPriceFromSheet ??
r.product.spApi.estimatedSalePrice;
const rank = r.product.keepa?.salesRank ?? r.product.record.amazonRank;
const canSellStatus =
r.product.spApi.canSell == null
? "unknown"
: r.product.spApi.canSell
? "yes"
: "no";
return {
ASIN: r.product.record.asin,
Name: r.product.record.name,
Brand: r.product.record.brand ?? "",
Category:
r.product.record.category ??
r.product.keepa?.categoryTree?.join(" > ") ??
"",
"Unit Cost": r.product.record.unitCost,
"Current Price": price ?? "",
"Avg Price 90d": r.product.keepa?.avgPrice90 ?? "",
"Avg Price 90d (sheet)": r.product.record.avgPrice90FromSheet ?? "",
"Selling Price (sheet)": r.product.record.sellingPriceFromSheet ?? "",
"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 ?? "",
"FBA Net (sheet)": r.product.record.fbaNet ?? "",
"Gross Profit $": r.product.record.grossProfit ?? "",
"Gross Profit %": r.product.record.grossProfitPct ?? "",
"Net Profit (sheet)": r.product.record.netProfitFromSheet ?? "",
"ROI (sheet)": r.product.record.roiFromSheet ?? "",
MOQ: r.product.record.moq ?? "",
"MOQ Cost": r.product.record.moqCost ?? "",
"Qty Available": r.product.record.totalQtyAvail ?? "",
Supplier: r.product.record.supplier ?? "",
"Source URL": r.product.record.sourceUrl ?? "",
"ASIN Link": r.product.record.asinLink ?? "",
"Promo/Coupon Code": r.product.record.promoCouponCode ?? "",
Notes: r.product.record.notes ?? "",
"Lead Date": r.product.record.leadDate ?? "",
"FBA Fee": r.product.spApi.fbaFee,
"FBM Fee": r.product.spApi.fbmFee,
"Referral %": r.product.spApi.referralFeePercent,
"Can Sell": canSellStatus,
Sellability: r.product.spApi.sellabilityStatus,
"Sellability Reason": r.product.spApi.sellabilityReason ?? "",
Verdict: r.verdict.verdict,
Confidence: r.verdict.confidence,
Reasoning: r.verdict.reasoning,
};
}
export function writeResultsToDb(
results: AnalysisResult[],
dbPath: string,
inputFile: string,
outputFile: string | undefined,
): void {
const database = getDb(dbPath);
const timestamp = new Date().toISOString();
const fbaCount = results.filter((r) => r.verdict.verdict === "FBA").length;
const fbmCount = results.filter((r) => r.verdict.verdict === "FBM").length;
const skipCount = results.filter((r) => r.verdict.verdict === "SKIP").length;
const insertRun = database.prepare(
`INSERT INTO runs (
timestamp,
input_file,
output_file,
total_products,
fba_count,
fbm_count,
skip_count
) VALUES (?, ?, ?, ?, ?, ?, ?)`,
);
const runInfo = insertRun.run(
timestamp,
inputFile,
outputFile ?? null,
results.length,
fbaCount,
fbmCount,
skipCount,
);
const runId =
(runInfo.changes as number) > 0
? (runInfo.lastInsertRowid as number)
: null;
if (runId === null) {
console.error("Failed to insert run record into SQLite.");
return;
}
const insertResult = database.prepare(
`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, 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 (
?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?
)`,
);
database.transaction(() => {
for (const r of results) {
const row = buildRow(r);
insertResult.run(
runId,
row.ASIN,
row.Name,
row.Brand,
row.Category,
row["Unit Cost"] ?? null,
row["Current Price"] ?? null,
row["Avg Price 90d"] ?? null,
row["Avg Price 90d (sheet)"] ?? null,
row["Selling Price (sheet)"] ?? null,
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,
row["FBA Net (sheet)"] ?? null,
row["Gross Profit $"] ?? null,
row["Gross Profit %"] ?? null,
row["Net Profit (sheet)"] ?? null,
row["ROI (sheet)"] ?? null,
row.MOQ ?? null,
row["MOQ Cost"] ?? null,
row["Qty Available"] ?? null,
row.Supplier ?? null,
row["Source URL"] ?? null,
row["ASIN Link"] ?? null,
row["Promo/Coupon Code"] ?? null,
row.Notes ?? null,
row["Lead Date"] ?? null,
row["FBA Fee"] ?? null,
row["FBM Fee"] ?? null,
row["Referral %"] ?? null,
row["Can Sell"],
row.Sellability,
row["Sellability Reason"] ?? null,
row.Verdict,
row.Confidence ?? null,
row.Reasoning,
r.product.fetchedAt,
);
}
})();
console.log(`Results written to SQLite database for run_id: ${runId}`);
}
export function printResults(results: AnalysisResult[]): void {
const rows = results
.filter((r) => r.verdict.verdict === "FBA" || r.verdict.verdict === "FBM")
.map((r) => {
const sellingPrice =
r.product.keepa?.currentPrice ??
r.product.record.sellingPriceFromSheet ??
r.product.spApi.estimatedSalePrice;
const referralFee =
sellingPrice != null
? sellingPrice * (r.product.spApi.referralFeePercent / 100)
: null;
const fulfillmentFee =
r.verdict.verdict === "FBA"
? r.product.spApi.fbaFee
: r.product.spApi.fbmFee;
const netProfit =
sellingPrice != null
? Math.round(
(sellingPrice -
r.product.record.unitCost -
fulfillmentFee -
(referralFee ?? 0)) *
100,
) / 100
: "";
return {
ASIN: r.product.record.asin,
Name: r.product.record.name.slice(0, 40),
Category: String(
r.product.record.category ??
r.product.keepa?.categoryTree?.join(" > ") ??
"",
).slice(0, 20),
"Unit Cost": r.product.record.unitCost,
"Selling Price": sellingPrice ?? "",
"Net Profit": netProfit,
"Monthly Sold": r.product.keepa?.monthlySold ?? "",
"Sold 90 Day": r.product.keepa?.salesRankDrops90 ?? "",
"Can Sell":
r.product.spApi.canSell == null
? "unknown"
: r.product.spApi.canSell
? "yes"
: "no",
Sellability: r.product.spApi.sellabilityStatus,
"Sellability Reason": String(
r.product.spApi.sellabilityReason ?? "",
).slice(0, 60),
Confidence: r.verdict.confidence,
Reasoning: r.verdict.reasoning.slice(0, 60),
};
});
console.log("\n=== Analysis Results ===\n");
if (rows.length === 0) {
console.log("No FBA/FBM leads found.");
} else {
console.table(rows);
}
const summary = {
FBA: results.filter((r) => r.verdict.verdict === "FBA").length,
FBM: results.filter((r) => r.verdict.verdict === "FBM").length,
SKIP: results.filter((r) => r.verdict.verdict === "SKIP").length,
Available: results.filter(
(r) => r.product.spApi.sellabilityStatus === "available",
).length,
Restricted: results.filter(
(r) => r.product.spApi.sellabilityStatus === "restricted",
).length,
NotAvailable: results.filter(
(r) => r.product.spApi.sellabilityStatus === "not_available",
).length,
Unknown: results.filter(
(r) => r.product.spApi.sellabilityStatus === "unknown",
).length,
};
console.log(
`\nSummary: ${summary.FBA} FBA | ${summary.FBM} FBM | ${summary.SKIP} SKIP out of ${results.length} products\n`,
);
console.log(
`Sellability: ${summary.Available} available | ${summary.Restricted} restricted | ${summary.NotAvailable} not_available | ${summary.Unknown} unknown\n`,
);
}