feat: add frontend dashboard for run results viewer
- Implemented main dashboard with run metrics and filtering options. - Created detailed view for individual runs with results and anomalies. - Added product listing page with filtering and pagination. - Introduced utility functions for formatting dates and numbers. - Styled components with CSS for a clean and responsive layout. - Set up HTML entry point and linked to the main JavaScript file. - Updated TypeScript configuration to include DOM types.
This commit is contained in:
Victor Noguera
619
src/server.ts
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619
src/server.ts
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@@ -0,0 +1,619 @@
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import index from "./web/index.html";
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import { getDb, initDb } from "./database.ts";
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type ProcessType = "lead_analysis" | "category_analysis";
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type RunRecord = {
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processType: ProcessType;
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runId: number;
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timestamp: string;
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status: string;
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jobType: string;
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source: string | null;
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output: string | null;
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totalProducts: number;
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fbaCount: number;
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fbmCount: number;
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skipCount: number;
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};
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type ProductListRecord = {
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processType: ProcessType;
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runId: number;
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asin: string;
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product_name: string | null;
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brand: string | null;
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category: string | null;
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verdict: "FBA" | "FBM" | "SKIP";
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confidence: number | null;
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sellability_status: string | null;
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fetched_at: string;
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};
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const DB_PATH = process.env.RESULTS_DB_PATH || "./results.db";
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const DEFAULT_PAGE_SIZE = 25;
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const MAX_PAGE_SIZE = 200;
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initDb(DB_PATH);
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const db = getDb(DB_PATH);
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function json(data: unknown, status = 200): Response {
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return new Response(JSON.stringify(data), {
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status,
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headers: { "content-type": "application/json; charset=utf-8" },
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});
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}
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function csv(text: string, filename: string): Response {
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return new Response(text, {
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status: 200,
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headers: {
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"content-type": "text/csv; charset=utf-8",
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"content-disposition": `attachment; filename="${filename}"`,
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},
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});
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}
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function parseIntParam(value: string | null, fallback: number): number {
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if (!value) return fallback;
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const parsed = Number.parseInt(value, 10);
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if (!Number.isFinite(parsed) || parsed < 1) return fallback;
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return parsed;
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}
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function parseSort(sortParam: string | null, allowed: Set<string>, fallback: string): string {
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if (!sortParam) return fallback;
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const clauses = sortParam
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.split(",")
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.map((chunk) => chunk.trim())
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.filter(Boolean)
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.map((chunk) => {
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const [fieldRaw, dirRaw] = chunk.split(":");
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const field = fieldRaw?.trim();
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const dir = dirRaw?.trim().toUpperCase() === "DESC" ? "DESC" : "ASC";
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if (!field || !allowed.has(field)) return null;
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return `${field} ${dir}`;
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})
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.filter((value): value is string => value !== null);
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return clauses.length > 0 ? clauses.join(", ") : fallback;
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}
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function parseResultSort(sortParam: string | null, allowed: Set<string>, fallback: string): string {
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if (!sortParam) return fallback;
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const clauses = sortParam
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.split(",")
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.map((chunk) => chunk.trim())
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.filter(Boolean)
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.map((chunk) => {
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const [fieldRaw, dirRaw] = chunk.split(":");
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const field = fieldRaw?.trim();
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const dir = dirRaw?.trim().toUpperCase() === "DESC" ? "DESC" : "ASC";
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if (!field || !allowed.has(field)) return null;
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if (field === "monthly_sold") return `CAST(COALESCE(monthly_sold, 0) AS INTEGER) ${dir}`;
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return `${field} ${dir}`;
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})
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.filter((value): value is string => value !== null);
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return clauses.length > 0 ? clauses.join(", ") : fallback;
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}
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function escapeCsvValue(value: unknown): string {
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if (value === null || value === undefined) return "";
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const text = String(value);
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const escaped = text.replaceAll("\"", "\"\"");
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return /[",\n]/.test(escaped) ? `"${escaped}"` : escaped;
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}
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function parseResultFilters(processType: ProcessType, runId: number, filters: URLSearchParams) {
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const q = filters.get("q")?.trim() || "";
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const verdict = filters.get("verdict")?.trim();
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const sellabilityStatus = filters.get("sellabilityStatus")?.trim();
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const minConfidence = filters.get("minConfidence")?.trim();
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const maxConfidence = filters.get("maxConfidence")?.trim();
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const conditions: string[] = ["run_id = ?"];
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const params: Array<string | number> = [runId];
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if (verdict) {
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conditions.push("verdict = ?");
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params.push(verdict);
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}
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if (sellabilityStatus) {
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conditions.push("sellability_status = ?");
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params.push(sellabilityStatus);
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}
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if (minConfidence) {
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conditions.push("confidence >= ?");
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params.push(Number(minConfidence));
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}
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if (maxConfidence) {
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conditions.push("confidence <= ?");
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params.push(Number(maxConfidence));
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}
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if (q) {
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const wildcard = `%${q}%`;
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if (processType === "lead_analysis") {
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conditions.push("(asin LIKE ? OR product_name LIKE ? OR brand LIKE ? OR category LIKE ? OR reasoning LIKE ?)");
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params.push(wildcard, wildcard, wildcard, wildcard, wildcard);
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} else {
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conditions.push("(asin LIKE ? OR name LIKE ? OR brand LIKE ? OR category LIKE ? OR reasoning LIKE ?)");
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params.push(wildcard, wildcard, wildcard, wildcard, wildcard);
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}
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}
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return {
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where: `WHERE ${conditions.join(" AND ")}`,
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params,
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};
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}
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function getRuns(filters: URLSearchParams) {
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const q = filters.get("q")?.trim() || "";
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const processType = filters.get("processType")?.trim();
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const status = filters.get("status")?.trim();
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const startDate = filters.get("startDate")?.trim();
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const endDate = filters.get("endDate")?.trim();
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const page = parseIntParam(filters.get("page"), 1);
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const pageSize = Math.min(parseIntParam(filters.get("pageSize"), DEFAULT_PAGE_SIZE), MAX_PAGE_SIZE);
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const offset = (page - 1) * pageSize;
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const allowedSort = new Set([
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"timestamp",
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"status",
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"totalProducts",
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"fbaCount",
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"fbmCount",
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"skipCount",
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"runId",
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"jobType",
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]);
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const orderBy = parseSort(filters.get("sort"), allowedSort, "timestamp DESC, runId DESC");
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const conditions: string[] = [];
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const params: Array<string | number> = [];
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if (processType === "lead_analysis" || processType === "category_analysis") {
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conditions.push("processType = ?");
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params.push(processType);
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}
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if (status) {
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conditions.push("status = ?");
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params.push(status);
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}
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if (startDate) {
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conditions.push("timestamp >= ?");
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params.push(startDate);
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}
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if (endDate) {
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conditions.push("timestamp <= ?");
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params.push(endDate);
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}
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if (q) {
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conditions.push("(jobType LIKE ? OR source LIKE ? OR output LIKE ? OR CAST(runId AS TEXT) LIKE ?)");
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const wildcard = `%${q}%`;
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params.push(wildcard, wildcard, wildcard, wildcard);
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}
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const where = conditions.length > 0 ? `WHERE ${conditions.join(" AND ")}` : "";
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const baseUnion = `
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SELECT
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'lead_analysis' AS processType,
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id AS runId,
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timestamp,
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'completed' AS status,
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'lead_file_analysis' AS jobType,
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input_file AS source,
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output_file AS output,
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COALESCE(total_products, 0) AS totalProducts,
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COALESCE(fba_count, 0) AS fbaCount,
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COALESCE(fbm_count, 0) AS fbmCount,
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COALESCE(skip_count, 0) AS skipCount
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FROM runs
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UNION ALL
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SELECT
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'category_analysis' AS processType,
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id AS runId,
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run_timestamp AS timestamp,
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status,
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category_label AS jobType,
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CAST(category_id AS TEXT) AS source,
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NULL AS output,
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COALESCE(top_asins_checked, 0) AS totalProducts,
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COALESCE(fba_count, 0) AS fbaCount,
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COALESCE(fbm_count, 0) AS fbmCount,
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COALESCE(skip_count, 0) AS skipCount
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FROM category_analysis_runs
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`;
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const totalRow = db
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.query(`SELECT COUNT(*) as total FROM (${baseUnion}) all_runs ${where}`)
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.get(...params) as { total: number };
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const items = db
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.query(`SELECT * FROM (${baseUnion}) all_runs ${where} ORDER BY ${orderBy} LIMIT ? OFFSET ?`)
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.all(...params, pageSize, offset) as RunRecord[];
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return {
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items,
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page,
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pageSize,
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total: totalRow.total,
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totalPages: Math.max(1, Math.ceil(totalRow.total / pageSize)),
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};
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}
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function getProductList(filters: URLSearchParams) {
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const q = filters.get("q")?.trim() || "";
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const verdict = filters.get("verdict")?.trim();
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const page = parseIntParam(filters.get("page"), 1);
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const pageSize = Math.min(parseIntParam(filters.get("pageSize"), DEFAULT_PAGE_SIZE), MAX_PAGE_SIZE);
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const offset = (page - 1) * pageSize;
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const conditions: string[] = [];
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const params: Array<string | number> = [];
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if (verdict === "FBA" || verdict === "FBM" || verdict === "SKIP") {
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conditions.push("verdict = ?");
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params.push(verdict);
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}
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if (q) {
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const wildcard = `%${q}%`;
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conditions.push("(asin LIKE ? OR product_name LIKE ? OR brand LIKE ? OR category LIKE ?)");
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params.push(wildcard, wildcard, wildcard, wildcard);
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}
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const where = conditions.length > 0 ? `WHERE ${conditions.join(" AND ")}` : "";
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const baseUnion = `
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SELECT
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'lead_analysis' AS processType,
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run_id AS runId,
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asin,
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product_name,
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brand,
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category,
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verdict,
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confidence,
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sellability_status,
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fetched_at
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FROM results
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UNION ALL
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SELECT
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'category_analysis' AS processType,
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run_id AS runId,
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asin,
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name AS product_name,
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brand,
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category,
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verdict,
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confidence,
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sellability_status,
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fetched_at
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FROM product_analysis_results
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`;
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const totalRow = db
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.query(`SELECT COUNT(*) as total FROM (${baseUnion}) all_products ${where}`)
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.get(...params) as { total: number };
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const items = db
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.query(`SELECT * FROM (${baseUnion}) all_products ${where} ORDER BY fetched_at DESC LIMIT ? OFFSET ?`)
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.all(...params, pageSize, offset) as ProductListRecord[];
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return {
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items,
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page,
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pageSize,
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total: totalRow.total,
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totalPages: Math.max(1, Math.ceil(totalRow.total / pageSize)),
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};
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}
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function getRun(processType: ProcessType, runId: number) {
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if (processType === "lead_analysis") {
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const run = db
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.query(
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`SELECT
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id AS runId,
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timestamp,
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'completed' AS status,
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'lead_file_analysis' AS jobType,
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input_file AS source,
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output_file AS output,
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COALESCE(total_products, 0) AS totalProducts,
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COALESCE(fba_count, 0) AS fbaCount,
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COALESCE(fbm_count, 0) AS fbmCount,
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COALESCE(skip_count, 0) AS skipCount
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FROM runs WHERE id = ?`,
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)
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.get(runId);
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return run ?? null;
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}
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const run = db
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.query(
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`SELECT
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id AS runId,
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run_timestamp AS timestamp,
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status,
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category_label AS jobType,
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CAST(category_id AS TEXT) AS source,
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NULL AS output,
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COALESCE(top_asins_checked, 0) AS totalProducts,
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COALESCE(fba_count, 0) AS fbaCount,
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COALESCE(fbm_count, 0) AS fbmCount,
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COALESCE(skip_count, 0) AS skipCount,
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error_message AS errorMessage,
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available_asins AS availableAsins
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FROM category_analysis_runs WHERE id = ?`,
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)
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.get(runId);
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return run ?? null;
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}
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function getRunResults(processType: ProcessType, runId: number, filters: URLSearchParams) {
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const page = parseIntParam(filters.get("page"), 1);
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const pageSize = Math.min(parseIntParam(filters.get("pageSize"), DEFAULT_PAGE_SIZE), MAX_PAGE_SIZE);
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const offset = (page - 1) * pageSize;
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const tableName = processType === "lead_analysis" ? "results" : "product_analysis_results";
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const productNameSelect = processType === "lead_analysis" ? "product_name" : "name AS product_name";
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const sellerCountSelect = processType === "lead_analysis" ? "sellers AS seller_count" : "seller_count";
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const salesRankAvgSelect = processType === "lead_analysis" ? "rank_avg_90d AS sales_rank_avg_90d" : "sales_rank_avg_90d";
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const { where, params } = parseResultFilters(processType, runId, filters);
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const allowedSort = new Set([
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"asin",
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"product_name",
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"brand",
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"category",
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"current_price",
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"avg_price_90d",
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"sales_rank",
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"seller_count",
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"monthly_sold",
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"verdict",
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"confidence",
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"fetched_at",
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]);
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const orderBy = parseResultSort(
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filters.get("sort"),
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allowedSort,
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"CAST(COALESCE(monthly_sold, 0) AS INTEGER) DESC, asin ASC",
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);
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const totalRow = db
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.query(`SELECT COUNT(*) as total FROM ${tableName} ${where}`)
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.get(...params) as { total: number };
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const items = db
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.query(
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`SELECT
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id,
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run_id,
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asin,
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${productNameSelect},
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brand,
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category,
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unit_cost,
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current_price,
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avg_price_90d,
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avg_price_90d_sheet,
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selling_price_sheet,
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sales_rank,
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${salesRankAvgSelect},
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${sellerCountSelect},
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monthly_sold,
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rank_drops_30d,
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rank_drops_90d,
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fba_fee,
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fbm_fee,
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referral_percent,
|
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can_sell,
|
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sellability_status,
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sellability_reason,
|
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verdict,
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confidence,
|
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reasoning,
|
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fetched_at
|
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FROM ${tableName}
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${where}
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ORDER BY ${orderBy}
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LIMIT ? OFFSET ?`,
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)
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.all(...params, pageSize, offset);
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|
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return {
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items,
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page,
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pageSize,
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total: totalRow.total,
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totalPages: Math.max(1, Math.ceil(totalRow.total / pageSize)),
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};
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}
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function deleteRun(processType: ProcessType, runId: number) {
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if (processType === "lead_analysis") {
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const resultRows = db.query("DELETE FROM results WHERE run_id = ?").run(runId);
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const runRows = db.query("DELETE FROM runs WHERE id = ?").run(runId);
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return {
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deletedRun: runRows.changes > 0,
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deletedResults: resultRows.changes,
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};
|
||||
}
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const resultRows = db.query("DELETE FROM product_analysis_results WHERE run_id = ?").run(runId);
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const runRows = db.query("DELETE FROM category_analysis_runs WHERE id = ?").run(runId);
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return {
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deletedRun: runRows.changes > 0,
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deletedResults: resultRows.changes,
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||||
};
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}
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|
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function exportRunResultsCsv(processType: ProcessType, runId: number, filters: URLSearchParams) {
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const tableName = processType === "lead_analysis" ? "results" : "product_analysis_results";
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const productNameSelect = processType === "lead_analysis" ? "product_name" : "name AS product_name";
|
||||
const sellerCountSelect = processType === "lead_analysis" ? "sellers AS seller_count" : "seller_count";
|
||||
const salesRankAvgSelect = processType === "lead_analysis" ? "rank_avg_90d AS sales_rank_avg_90d" : "sales_rank_avg_90d";
|
||||
|
||||
const { where, params } = parseResultFilters(processType, runId, filters);
|
||||
|
||||
const allowedSort = new Set([
|
||||
"asin",
|
||||
"product_name",
|
||||
"brand",
|
||||
"category",
|
||||
"current_price",
|
||||
"avg_price_90d",
|
||||
"sales_rank",
|
||||
"seller_count",
|
||||
"monthly_sold",
|
||||
"verdict",
|
||||
"confidence",
|
||||
"fetched_at",
|
||||
]);
|
||||
const orderBy = parseResultSort(
|
||||
filters.get("sort"),
|
||||
allowedSort,
|
||||
"CAST(COALESCE(monthly_sold, 0) AS INTEGER) DESC, asin ASC",
|
||||
);
|
||||
|
||||
const rows = db
|
||||
.query(
|
||||
`SELECT
|
||||
run_id,
|
||||
asin,
|
||||
${productNameSelect},
|
||||
brand,
|
||||
category,
|
||||
unit_cost,
|
||||
current_price,
|
||||
avg_price_90d,
|
||||
${salesRankAvgSelect},
|
||||
${sellerCountSelect},
|
||||
monthly_sold,
|
||||
sellability_status,
|
||||
verdict,
|
||||
confidence,
|
||||
reasoning,
|
||||
fetched_at
|
||||
FROM ${tableName}
|
||||
${where}
|
||||
ORDER BY ${orderBy}`,
|
||||
)
|
||||
.all(...params) as Array<Record<string, unknown>>;
|
||||
|
||||
const headers = [
|
||||
"run_id",
|
||||
"asin",
|
||||
"product_name",
|
||||
"brand",
|
||||
"category",
|
||||
"unit_cost",
|
||||
"current_price",
|
||||
"avg_price_90d",
|
||||
"sales_rank_avg_90d",
|
||||
"seller_count",
|
||||
"monthly_sold",
|
||||
"sellability_status",
|
||||
"verdict",
|
||||
"confidence",
|
||||
"reasoning",
|
||||
"fetched_at",
|
||||
];
|
||||
|
||||
const lines = [headers.join(",")];
|
||||
for (const row of rows) {
|
||||
lines.push(headers.map((h) => escapeCsvValue(row[h])).join(","));
|
||||
}
|
||||
|
||||
return lines.join("\n");
|
||||
}
|
||||
|
||||
const server = Bun.serve({
|
||||
port: Number(process.env.PORT || "3000"),
|
||||
routes: {
|
||||
"/": index,
|
||||
"/products": index,
|
||||
"/runs/:processType/:runId": index,
|
||||
"/api/runs": (req) => {
|
||||
const url = new URL(req.url);
|
||||
return json(getRuns(url.searchParams));
|
||||
},
|
||||
"/api/products": (req) => {
|
||||
const url = new URL(req.url);
|
||||
return json(getProductList(url.searchParams));
|
||||
},
|
||||
"/api/runs/:processType/:runId": (req) => {
|
||||
const processType = req.params.processType as ProcessType;
|
||||
const runId = Number(req.params.runId);
|
||||
|
||||
if (!(processType === "lead_analysis" || processType === "category_analysis") || !Number.isInteger(runId)) {
|
||||
return json({ error: "Invalid run identifier" }, 400);
|
||||
}
|
||||
|
||||
if (req.method === "DELETE") {
|
||||
const deleted = deleteRun(processType, runId);
|
||||
if (!deleted.deletedRun) return json({ error: "Run not found" }, 404);
|
||||
return json(deleted);
|
||||
}
|
||||
|
||||
const run = getRun(processType, runId);
|
||||
if (!run) return json({ error: "Run not found" }, 404);
|
||||
|
||||
const summary = {
|
||||
totalProducts: (run as { totalProducts: number }).totalProducts,
|
||||
fbaCount: (run as { fbaCount: number }).fbaCount,
|
||||
fbmCount: (run as { fbmCount: number }).fbmCount,
|
||||
skipCount: (run as { skipCount: number }).skipCount,
|
||||
};
|
||||
|
||||
return json({ processType, ...run, summary });
|
||||
},
|
||||
"/api/runs/:processType/:runId/results": (req) => {
|
||||
const processType = req.params.processType as ProcessType;
|
||||
const runId = Number(req.params.runId);
|
||||
|
||||
if (!(processType === "lead_analysis" || processType === "category_analysis") || !Number.isInteger(runId)) {
|
||||
return json({ error: "Invalid run identifier" }, 400);
|
||||
}
|
||||
|
||||
const url = new URL(req.url);
|
||||
const payload = getRunResults(processType, runId, url.searchParams);
|
||||
return json(payload);
|
||||
},
|
||||
"/api/runs/:processType/:runId/export.csv": (req) => {
|
||||
const processType = req.params.processType as ProcessType;
|
||||
const runId = Number(req.params.runId);
|
||||
|
||||
if (!(processType === "lead_analysis" || processType === "category_analysis") || !Number.isInteger(runId)) {
|
||||
return json({ error: "Invalid run identifier" }, 400);
|
||||
}
|
||||
|
||||
const url = new URL(req.url);
|
||||
const csvText = exportRunResultsCsv(processType, runId, url.searchParams);
|
||||
return csv(csvText, `run-${processType}-${runId}.csv`);
|
||||
},
|
||||
},
|
||||
fetch() {
|
||||
return json({ error: "Not found" }, 404);
|
||||
},
|
||||
development: {
|
||||
hmr: true,
|
||||
console: true,
|
||||
},
|
||||
});
|
||||
|
||||
console.log(`Results viewer running on http://localhost:${server.port}`);
|
||||
Reference in New Issue
Block a user