Claude VM
a6c03a091e
Moved from gov-agreg/src/pages/achizitii/* to root (drop prefix). - 22 pages migrated, 127 files total - All internal links: /achizitii/X → /X (176 occurrences fixed) - AchizitiiLayout subnav rewritten: /X paths, top-right link to vreaudigital.ro hub - BaseLayout new (vreau.digital branding, OG tags, site URL) - astro.config.mjs: site https://vreau.digital, server output (was static) - docker-compose: port 5096 (vreaudigital is 5095), container vreau-digital - deploy.sh: paths /opt/vreau-digital, log /var/log/vreau-digital-deploy.log Backend shared with gov-agreg: - PostgreSQL satra (same schemas: seap, firms, anaf, anre, ...) - Photon, Martin tiles - Infisical /vreaudigital path (DATABASE_URL etc. shared) build: PASS (npx astro check 0 errors, npm run build 5s vite + 10s server)
75 lines
3.4 KiB
Markdown
75 lines
3.4 KiB
Markdown
# ASF other registers — handoff
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State at 2026-05-11:
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- `asf.entitati`: 849 entities (61 asigurator + 788 broker) — only the
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`/scr/ra` insurance registry is ingested.
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- ASF has additional registries (private pensions, capital markets,
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secondary intermediaries, software providers, lecturers, etc.) at
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separate pages — NOT exposed via the same `/scr/ra/cautare` JSON endpoint.
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## Why deferred
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Each register appears to use a different access pattern:
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- `/scr/ra` (used by current scraper) — only insurance + brokers.
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- Pension funds (Pilonul II/III) — no `/scr/` endpoint visible. Likely PDF
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or static HTML on `asfromania.ro/ro/a/2365/...`.
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- Capital markets entities — likely a different `/scr/...` path needs to
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be discovered via browser-network-tab inspection.
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Confirmation needed via interactive exploration (curl with realistic
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Referer + Cookie, or browser dev-tools). Cannot be done blindly from
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high-level webpages.
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## Registries discovered (from `/ro/a/1544/registre-entitati-autorizate`)
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### Insurance (Asigurări)
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- ✅ `/scr/ra/cautare` — currently scraped (asigurator + broker).
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- ❓ `/ro/a/2082/registrul-asigurătorilor-și-intermediarilor-din-see` —
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EEA insurers and intermediaries (likely overlap with main register).
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- ❓ `/app.php/ro/a/1704/intermediari-secundari` — secondary intermediaries
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(post-2019).
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- ❓ `/ro/a/1997/intermediari-secundari---persoane-fizice` (pre-2019).
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- ❓ `/ro/a/1998/intermediari-secundari---persoane-juridice` (pre-2019).
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- ❓ `/ro/a/1999/specialisti-constatare-daune` — damage assessors.
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- ❓ `/ro/a/2068/registrul-furnizorilor-de-programe-(activi)` — software
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providers.
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- ❓ `/ro/a/2067/registrul-lectorilor` — authorized lecturers.
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### Capital Markets (Piață de capital)
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- ❓ `/app.php/ro/a/1705/registrul-instrumentelor-si-investitiilor-financiare`
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### Private Pensions (Pensii private)
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- ❓ `/ro/a/2365/registrul-entitatilor-din-piata-pensiilor-private` — Pilonul
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II + III administrators (SAFI), pension funds, fund managers.
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## Recommended approach (~4-6h)
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1. **Discovery phase (1h)**: open each `?` URL in browser, inspect Network
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tab for actual data endpoints. Note: most are likely Drupal/Symfony
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pages serving an embedded JSON or rendering an HTML table. Some may
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only offer PDF download (need OCR/parsing).
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2. **Per-register scraper (1-2h each)**:
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- If it's a JSON endpoint similar to `/scr/ra/cautare`, clone the
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scrape-asf.ts pattern with a new `register_type` value
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(e.g., `pensie_administrator`, `intermediar_secundar`).
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- If it's an HTML table, parse with cheerio.
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- If it's a PDF, use pdftotext like CNAS.
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3. **Schema**: `asf.entitati.register_type` is already a text column —
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add new enum-like values without DDL.
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4. **Volume estimate**:
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- Pension funds: ~10 administrators (SAFI/SIF), ~20 funds.
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- Capital markets: ~50-200 entities.
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- Secondary intermediaries: ~3,000-10,000 individuals + firms.
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- Lecturers: ~50.
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- **Total ~3,500-10,300 new entities** if all done.
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## Defer reason
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Multi-day discovery + per-register scraper development. The 2-3h
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single-candidate budget cannot accommodate even one full register
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implementation without first doing the discovery for all of them.
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Recommended next sub-agent: pick **secondary intermediaries** (largest
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volume → 3-10k entities) as the first target, since the data shape
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should mirror existing broker entries.
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