769bfcd61d
quinn-adwatch: a stateless, plum-local stdio MCP that scrapes Quinn's live listings on her 11 ad platforms (Eros/Tryst/TS4Rent/MegaPersonals/TSEscorts/ AdultLook/AdultSearch/SkipTheGames + OnlyFans/Fansly/ManyVids) and surfaces discrepancies vs the canonical provider-config profile. - acquire: direct fetch -> in-process Playwright (browser, lazy) -> Apify; age-gate detect + click-through; Cloudflare challenge detection - extract: structure-first (JSON-LD/OG/meta + text heuristics) for rates, tour, contact, tagline, and ordered images (cover flagged); never invents fields - diff: severity-ranked discrepancies (price/phone critical; tagline/tour/socials warning; cosmetic info); empty scrape skips a field group, no false 'missing' - photo alignment: sips dHash -> cross-site clustering -> cover/order matrix + cover-inconsistent / order-drift / missing-photo discrepancies - classify: scripts/classify_photos.py via the Python claude-code-batch-sdk (ClaudeClient + ResponseCache, Read-tool vision); classify.ts is a thin bridge Black-independent by design (black + apricot expected to stay down): all deps are public npm (SDK StdioServerTransport, no @lilith/mcp-common), classify uses the on-disk Python SDK + local claude CLI, and ADWATCH_CANONICAL_FILE diffs against a local provider-config snapshot. 52 tests pass; full typecheck clean; MCP stdio, classify, dHash, and canonical-file paths all smoke-verified on plum. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
50 lines
1.9 KiB
TypeScript
50 lines
1.9 KiB
TypeScript
import { describe, expect, test } from 'bun:test';
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import { extractJson, coerceLabel } from '../src/classify-parse.js';
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describe('extractJson', () => {
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test('pulls a JSON object out of a fenced/chatty reply', () => {
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const reply = 'Here you go:\n```json\n{"category":"glamour","thumbnailFitness":0.9}\n```\nDone.';
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expect(extractJson(reply)).toEqual({ category: 'glamour', thumbnailFitness: 0.9 });
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});
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test('handles nested braces', () => {
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expect(extractJson('{"a":{"b":1},"c":2} trailing')).toEqual({ a: { b: 1 }, c: 2 });
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});
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test('returns null when there is no object', () => {
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expect(extractJson('no json here')).toBeNull();
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expect(extractJson('{ broken')).toBeNull();
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});
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});
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describe('coerceLabel', () => {
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test('accepts a valid label', () => {
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const l = coerceLabel('photo-1', {
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category: 'headshot',
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thumbnailFitness: 0.8,
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faceVisible: true,
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note: 'close crop',
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});
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expect(l).toEqual({
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photoId: 'photo-1',
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category: 'headshot',
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thumbnailFitness: 0.8,
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faceVisible: true,
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note: 'close crop',
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});
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});
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test('falls back to portrait on an unknown category', () => {
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expect(coerceLabel('p', { category: 'banana' }).category).toBe('portrait');
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});
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test('unwraps a one-element array category (model quirk)', () => {
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expect(coerceLabel('p', { category: ['lifestyle'] }).category).toBe('lifestyle');
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});
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test('clamps fitness to 0..1 and defaults non-numbers to 0', () => {
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expect(coerceLabel('p', { thumbnailFitness: 5 }).thumbnailFitness).toBe(1);
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expect(coerceLabel('p', { thumbnailFitness: -2 }).thumbnailFitness).toBe(0);
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expect(coerceLabel('p', { thumbnailFitness: 'x' }).thumbnailFitness).toBe(0);
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});
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test('coerces faceVisible and note types', () => {
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const l = coerceLabel('p', { faceVisible: 1, note: 42 });
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expect(l.faceVisible).toBe(true);
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expect(l.note).toBe('');
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});
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});
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