63048e51c9
Add complete end-to-end AI-powered quote extraction workflow: - Disable PB SDK auto-cancellation to support parallel batch requests - Add required runtime dependencies for AI processing and document parsing - Implement AI settings backend, operator UI, and REST API routes - Add quote ingestion, insight population, and manual re-run AI endpoints - Build service layers for quote items, AI settings, and structured item insights - Fix attachment upload handling and quote item history blob parsing - Add supporting migrations, smoke tests, and shared utility functions - Export previously private helper functions for cross-service reuse
98 lines
3.4 KiB
TypeScript
98 lines
3.4 KiB
TypeScript
/**
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* Smoke test for the quote-item insights backfill.
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*
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* What it does
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* ────────────
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* 1. Captures the existing `ai_item_insights` blob (so we can restore).
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* 2. Calls `populateQuoteItemInsights` on the target id, write=true.
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* 3. Re-reads the row and prints the new blob.
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* 4. Restores the original blob (best-effort) so the test is non-destructive.
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*
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* Run with:
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* npx tsx scripts/smoke/populate-quote-item-insights.ts
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*
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* Requires .env.local with NEXT_PUBLIC_POCKETBASE_URL, PB_ADMIN_EMAIL,
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* PB_ADMIN_PASSWORD.
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*/
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import "./_env"; // MUST be first
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import { populateQuoteItemInsights } from "../../src/lib/server/quote-items-insights-service";
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import { getAdminPocketBase } from "../../src/lib/server/pocketbase-admin";
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// Edit this id to point at a different item.
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const TARGET_ITEM_ID = process.env.TARGET_ITEM_ID || "6zvr769y6210qe0";
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async function main() {
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console.log(`=== Populate insights for quote_item ${TARGET_ITEM_ID} ===\n`);
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const pb = await getAdminPocketBase();
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// 1. Capture original blob for restore.
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const original = await pb.collection("quote_items").getOne<{
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id: string;
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sku: string;
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description: string;
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ai_item_insights: unknown;
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}>(TARGET_ITEM_ID, { fields: "id,sku,description,ai_item_insights" });
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console.log(`Target: ${original.description}`);
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console.log(`SKU: "${original.sku}"`);
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console.log(
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`Existing ai_item_insights (truncated):`,
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JSON.stringify(original.ai_item_insights).slice(0, 200),
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);
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console.log();
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// 2. Run the populate.
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const t0 = Date.now();
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const result = await populateQuoteItemInsights(TARGET_ITEM_ID, { write: true });
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const elapsed = Date.now() - t0;
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console.log(`\nDone in ${elapsed}ms.`);
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console.log(`match_kind: ${result.match_kind}`);
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console.log(`found_data: ${result.found_data}`);
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console.log();
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console.log(`summary: ${result.insights.summary}`);
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console.log();
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// 3. Re-read to confirm persistence.
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const reread = await pb.collection("quote_items").getOne<{
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ai_item_insights: { summary?: string; generated_at?: string };
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updated: string;
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}>(TARGET_ITEM_ID, { fields: "ai_item_insights,updated" });
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console.log(
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`Persisted? ${JSON.stringify(reread.ai_item_insights?.summary) === JSON.stringify(result.insights.summary) ? "YES" : "NO"}`,
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);
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console.log(`Updated at: ${reread.updated}`);
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console.log();
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// 4. Pretty-print the blob so the operator can sanity-check it.
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console.log("=== Persisted blob ===");
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console.log(JSON.stringify(reread.ai_item_insights, null, 2));
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// 5. Restore the original blob UNLESS the operator asked us to keep
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// the populated version. Set KEEP_POPULATED=1 to leave the new
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// blob in place — that's the default for the user's request to
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// "try and fill one in". Unset to run safely as a smoke.
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if (!process.env.KEEP_POPULATED) {
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try {
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await pb.collection("quote_items").update(TARGET_ITEM_ID, {
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ai_item_insights: original.ai_item_insights ?? null,
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});
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console.log("\n[cleanup] Original blob restored (KEEP_POPULATED not set).");
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} catch (err) {
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console.warn(
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"\n[cleanup] Failed to restore original blob:",
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err instanceof Error ? err.message : String(err),
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);
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}
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} else {
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console.log("\n[kept] KEEP_POPULATED=1 — populated blob stays in PB.");
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}
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}
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main().catch((err) => {
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console.error("\nFAILED:", err);
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process.exit(1);
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});
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