Commit Graph

8 Commits

Author SHA1 Message Date
soroush.asadi e582597b20 Geocoding fallback: use the registered AI model when the table can't resolve
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Where deterministic geocoding gives up (neighborhood not in the TehranGeo table),
fall back to the registered AI model: the auditor now also returns approximate
lat/lng for a recognized Tehran neighborhood (folded into the existing single
audit call — no extra requests), and Publish uses it only after the source ad and
the local table, and only when it falls inside greater Tehran (InTehran bbox
guard rejects hallucinated points). Coords order: Divar point → TehranGeo → AI.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-20 15:48:42 +03:30
soroush.asadi d62929ca0d AI qualify: de-dupe applicants, base roles, closed categories, tag hygiene + reprocess-stored action
CI/CD / CI · dotnet build (push) Successful in 2m35s
CI/CD / Deploy · hamkadr (push) Successful in 1m23s
Qualified live applicants and found three problems, all fixed:
- Duplicate cards: one ad fanned out into «پرستار» + «پرستار کودک» (same person).
  Applicants now publish ONE listing (no role fan-out); secondary roles → tags.
- Role sprawl: modifiers became roles. Prompt now returns the BASE profession
  and pushes age-group/ward/seniority to tags; new roles only for a genuinely
  new base profession (تکنسین داروخانه ✓, پرستار کودک ✗).
- Tag/category noise: categories pinned to the 5 fixed groups (+سایر, never
  invented); BuildTags drops pay/contact/location/fragment words.

Reprocess action: IngestionService.ReprocessAsync re-runs the current pipeline
over every stored RawListing WITHOUT re-fetching (keeps the raw text, so nothing
is lost to sources only exposing recent posts), deleting the old aggregated
posts and republishing cleanly. Admin dashboard button «پردازش مجددِ آیتم‌های
ذخیره‌شده» runs it on a background scope; result lands in the run-log.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-20 14:24:20 +03:30
soroush.asadi cf5e0011c4 AI ingestion: dynamic role/category creation + tags, hardcoded read-only prompt
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- Unknown roles from the AI are now resolved-or-CREATED (Persian-normalized dedupe) instead of dropped/fallback; new role gets the AI's category, assigned to the applicant.
- AI output gains category + tags; AI-detected skills/requirements (ICU, MMT, پروانه‌دار…) now fold into the applicant's searchable Tags.
- System prompt is hardcoded in AppSetting.DefaultPrompt and used directly by the auditor; admin sees it read-only (cannot edit/break it).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 19:04:24 +03:30
soroush.asadi 59fb30ac77 AI auditor: surface the real connection error instead of swallowing it
The Test-AI button called AuditAsync, which caught every exception and returned
null, and used EnsureSuccessStatusCode() (discarding the response body). So a
failing AI service only ever produced a generic 'no response' message with no
detail — impossible to diagnose.

- Add IAiAuditor.TestAsync: runs the real call and returns a detailed Persian
  diagnostic — HTTP status + response body on non-2xx, raw body when the shape
  isn't OpenAI-compatible, and network/proxy/timeout specifics on exceptions.
- AuditAsync now logs the actual HTTP status + response body (and proxy state)
  instead of a bare warning, so server logs show why a call failed.
- ExtractContent / ParseVerdict no longer throw on unexpected JSON; they return
  null so the caller can show the raw body.
- Settings 'Test AI' button uses TestAsync; result box renders multi-line and
  switches to alert-error styling when the test fails.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 18:30:12 +03:30
soroush.asadi 213af9db48 AI tag/category assignment + phone extraction from web ads
CI/CD / CI · dotnet build (push) Successful in 2m37s
CI/CD / Deploy · hamkadr (push) Successful in 1m11s
AI (when enabled, now that the server proxy is up):
- AiStructured gains phone, personName, yearsExperience, isLicensed.
- The auditor appends an authoritative output-schema to the admin prompt
  so classification stays correct even with an older stored prompt — it
  now classifies kind as shift|job|talent and extracts the contact phone
  and talent details.
- Ingestion publish prefers the AI's tags (kind/role/city/facility/phone +
  talent fields) over the heuristic parser when present.
- Default prompt updated to describe the three kinds + new fields.

Phone extraction from websites (Medjobs / generic sites), where the
number sits behind a "تماس با این آگهی" reveal:
- HtmlUtil.HarvestPhones scans the full markup for tel: links, JSON-LD
  "telephone", data-*phone* attributes, and inline Iranian mobile/landline
  numbers (Persian digits folded), normalized (mobiles 09…, landlines 0…).
- Medjobs + Website sources append harvested numbers to the ad text so the
  parser/AI capture them; manual review then prefills the phone too.
- Parser phone extraction now also captures a landline as a fallback.

Note: if a site loads the number purely via XHR (not in HTML), a
per-source reveal endpoint would be a follow-up.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 08:11:14 +03:30
soroush.asadi 524c66e25e [Admin] VPN/proxy + AI test buttons; fix AI JSON parse crash on null fields
CI/CD / CI · dotnet build (push) Successful in 2m41s
CI/CD / Deploy · hamkadr (push) Failing after 2m56s
Add «تست اتصال VPN/پروکسی» (reaches a filtered site through the proxy and reports connected/latency) and «تست هوش مصنوعی» (sends a sample post through the configured model and shows the verdict + extracted fields) to admin Settings. Fix OpenAiCompatibleAuditor.ParseVerdict: TryGetInt32/64 threw on null/string JSON values (the model commonly returns payAmount/sharePercent as null), which silently failed every audit — now guarded on ValueKind==Number. Verified the real OpenAI key extracts perfectly (approve / role=پرستار / city=تهران / shift=night).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-07 23:23:02 +03:30
soroush.asadi 0c49b89891 [AI] Route AI calls through the Xray/V2Ray proxy (reach OpenAI from Iran)
CI/CD / CI · dotnet build (push) Successful in 1m46s
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Add AiUseProxy setting + a toggle in the AI settings section. ScrapeHttpClients.ForAi(settings) returns a proxied HttpClient (reusing IngestProxyUrl, 100s timeout) when AiUseProxy is on, otherwise direct; AI-cache keys are protected from the scrape-client cleanup. OpenAiCompatibleAuditor now uses it, so the AI auditor (e.g. api.openai.com) is reachable through the same Xray sidecar that serves Telegram. Migration adds the column.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-07 22:55:07 +03:30
soroush.asadi 36bb165438 Real channel fetch (Telegram/Bale/Divar) + AI-audited automation engine + CI/CD
- Fetch: Telegram via t.me/s, Bale via Bot API, Divar via web-search (HttpClient, config-gated, graceful)
- AI layer: DB-backed AppSetting (mode auto/manual, thresholds, AI endpoint/model/key/prompt/framework, auto-approve); OpenAI-compatible IAiAuditor (self-host/Iranian endpoints; fails safe to manual)
- Pipeline: fetch → dedupe(hash) → parse → validate → AI audit → Discard/Flag/Queue/auto-publish (resolve-or-create facility)
- Admin: /Admin/Settings automation+AI panel; queue shows confidence + AI verdict; flagged section
- CI/CD: Dockerfile, docker-compose.prod.yml, .gitea/workflows/ci-cd.yml, nginx vhost, DEPLOY.md; forwarded headers + /healthz + prod reference-only seed; ports 22/80/443 only

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 17:41:02 +03:30