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R-E H-5. Up to v0.4.1.1 the iOS app stored mood-entry prose as `tags: ["note:<text>"]` because the server had no dedicated column. The workaround contaminated the tags axis with prose the Coach evidence shelf misread as taxonomic labels. Schema (migration 0063, additive): - mood_entries.note (TEXT, nullable) Validation + routes: - createMoodEntrySchema gains optional note (max 500 chars) - updateMoodEntrySchema accepts note + null to clear - POST /api/mood-entries persists note alongside tags - PUT /api/mood-entries/[id] honours partial note updates - POST /api/mood-entries/bulk carries note through the bulk path Backfill script at scripts/backfill-mood-note-column.ts lifts the legacy note:<text> tag entries into the new column. Idempotent dry-run mode is the default; --confirm commits. Helper logic lives in src/lib/mood/note-backfill.ts for tight unit coverage. iOS contract: additive. Old iOS payloads (no note field) round-trip unchanged. New iOS code paths can read or write note without touching tags.
103 lines
3.0 KiB
TypeScript
103 lines
3.0 KiB
TypeScript
#!/usr/bin/env tsx
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/**
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* scripts/backfill-mood-note-column.ts
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*
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* One-shot backfill that lifts existing `tags: ["note:<text>"]`
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* entries out of `mood_entries.tags` into the new `mood_entries.note`
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* column. Operator runs this once after the v1.4.30 schema migration
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* applies.
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*
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* Strategy:
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* 1. SELECT every MoodEntry whose `tags` JSON contains an entry
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* that begins with `note:`.
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* 2. Decode the JSON array, pull the first `note:<text>` entry as
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* the new note value, drop the entry from the array.
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* 3. UPDATE the row in a transaction: `note = <decoded text>`,
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* `tags = <slimmed JSON or null if empty>`.
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*
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* Idempotent — a row whose `tags` no longer carries any `note:`
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* entries is left alone. Re-running on a clean dataset is a no-op.
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*
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* Usage:
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* pnpm tsx scripts/backfill-mood-note-column.ts # dry-run
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* pnpm tsx scripts/backfill-mood-note-column.ts --confirm # commit
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*/
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import "dotenv/config";
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import { prisma } from "@/lib/db";
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import { extractNoteAndSlimTags } from "@/lib/mood/note-backfill";
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interface ParsedArgs {
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confirm: boolean;
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}
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function parseArgs(argv: readonly string[]): ParsedArgs {
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const out: ParsedArgs = { confirm: false };
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for (const arg of argv) {
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if (arg === "--confirm") out.confirm = true;
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else if (arg === "--help" || arg === "-h") {
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console.log(
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"Usage: pnpm tsx scripts/backfill-mood-note-column.ts [--confirm]",
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);
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process.exit(0);
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} else {
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console.error(`Unknown argument: ${arg}`);
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process.exit(2);
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}
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}
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return out;
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}
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interface RowSnapshot {
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id: string;
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tags: string | null;
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note: string | null;
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}
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async function main(): Promise<void> {
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const args = parseArgs(process.argv.slice(2));
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const dryRun = !args.confirm;
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if (dryRun) {
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console.log("[backfill-note] DRY RUN — no rows will be written. Pass --confirm to commit.");
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} else {
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console.log("[backfill-note] COMMIT MODE — updating rows in place.");
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}
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// Naive scan: filter in-memory rather than via JSON predicates so
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// the query stays portable across Postgres minor versions. The
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// mood_entries table is small (per-user lifetime budget).
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const candidates: RowSnapshot[] = await prisma.moodEntry.findMany({
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where: {
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tags: { not: null },
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note: null,
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},
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select: { id: true, tags: true, note: true },
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});
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console.log(`[backfill-note] scanned ${candidates.length} candidate rows`);
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let updated = 0;
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for (const row of candidates) {
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if (!row.tags) continue;
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const { note, newTags } = extractNoteAndSlimTags(row.tags);
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if (note === null) continue;
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updated += 1;
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if (!dryRun) {
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await prisma.moodEntry.update({
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where: { id: row.id },
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data: { note, tags: newTags },
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});
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}
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}
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console.log(`[backfill-note] ${updated} row${updated === 1 ? "" : "s"} ${dryRun ? "would be" : "were"} updated`);
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await prisma.$disconnect();
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}
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main().catch((err: unknown) => {
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console.error("[backfill-note] failed:", err);
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process.exit(1);
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});
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