Files
mobiniqow a464e550c9 feat: LinkedIn profile search engine (Django + React + Elasticsearch + ELK)
Full-stack implementation of the Cyberyan full-stack trial task.

Backend (Django 5 / DRF)
- Normalised PostgreSQL model (Profile, Company, School, Skill, Experience,
  Education) as the source of truth, with GIN + trigram indexes.
- Self-healing CSV reader: the supplied export carries an injected watermark
  column, missing columns, rows split by broken quoting and a duplicated
  header. A signature-scored Needleman-Wunsch alignment reconstructs 284 clean
  records out of 336 physical rows; only 10 rows parse correctly without it.
- Pluggable search layer (Strategy): Elasticsearch by default, PostgreSQL
  full-text search as a fallback selected by a single environment variable.
- Keyword search with per-field boosts, fuzziness and phrase boosting, six
  faceted filters (OR within a filter, AND across filters), an experience
  range, four sort orders, highlighting and facet aggregations.
- JWT auth with rotation + blacklist, three roles, PII masking, scoped rate
  limits, a single error envelope, OpenAPI schema and health probes.

Frontend (React 18 / TypeScript / Vite)
- Debounced search with type-ahead, faceted filter panel, result cards,
  profile drawer, URL-synced search state, automatic token refresh.
- Highlight snippets rendered without dangerouslySetInnerHTML.

Infrastructure
- Hardened multi-stage images (non-root, read-only rootfs, healthchecks).
- docker-compose for the full stack plus dev and production overlays.
- ELK: structured JSON logs shipped asynchronously to Logstash, routed per
  event type, with a composable index template and a Kibana setup script.

Quality
- 61 backend tests (85% coverage), ruff/black/bandit/mypy, ESLint + tsc,
  GitHub Actions running lint, tests and both image builds.
- Persian documentation: README plus architecture, search, API, data,
  security and operations guides.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GnFo6fNaHCTAkJbfcdkqtG
2026-09-03 08:13:50 +00:00

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{
"index_patterns": ["app-logs-*"],
"priority": 200,
"template": {
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0,
"refresh_interval": "5s"
},
"mappings": {
"dynamic": true,
"properties": {
"@timestamp": { "type": "date" },
"level": { "type": "keyword" },
"logger": { "type": "keyword" },
"service": { "type": "keyword" },
"environment": { "type": "keyword" },
"event": { "type": "keyword" },
"message": { "type": "text" },
"request_id": { "type": "keyword" },
"user_id": { "type": "long" },
"user_role": { "type": "keyword" },
"client_ip": { "type": "ip" },
"user_agent": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } },
"http_method": { "type": "keyword" },
"http_path": { "type": "keyword" },
"http_status": { "type": "short" },
"duration_ms": { "type": "float" },
"backend": { "type": "keyword" },
"took_ms": { "type": "integer" },
"result_count": { "type": "integer" },
"query": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } },
"sort": { "type": "keyword" },
"page": { "type": "integer" },
"page_size": { "type": "integer" },
"filters": {
"properties": {
"skills": { "type": "keyword" },
"roles": { "type": "keyword" },
"seniority": { "type": "keyword" },
"countries": { "type": "keyword" },
"industries": { "type": "keyword" },
"companies": { "type": "keyword" },
"min_experience": { "type": "integer" },
"max_experience": { "type": "integer" }
}
},
"error": {
"properties": {
"type": { "type": "keyword" },
"message": { "type": "text" },
"stack": { "type": "text", "index": false }
}
}
}
}
}
}