mobiniqow
a464e550c9
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
53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
"""``python manage.py search_index`` - manage the Elasticsearch index."""
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from __future__ import annotations
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import json
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import time
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from typing import Any
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from django.core.management.base import BaseCommand, CommandError
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from apps.search.indexing import alias_name, get_client, rebuild_index
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class Command(BaseCommand):
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help = "Create, rebuild, inspect or drop the Elasticsearch profile index."
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def add_arguments(self, parser) -> None: # noqa: ANN001
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group = parser.add_mutually_exclusive_group(required=True)
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group.add_argument("--rebuild", action="store_true", help="Rebuild and swap the alias.")
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group.add_argument("--status", action="store_true", help="Show index/alias status.")
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group.add_argument("--drop", action="store_true", help="Delete the index and its alias.")
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def handle(self, *args: Any, **options: Any) -> None:
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client = get_client()
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if not client.ping():
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raise CommandError("Elasticsearch is not reachable. Check ELASTICSEARCH_HOSTS.")
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if options["rebuild"]:
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started = time.perf_counter()
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result = rebuild_index(client)
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result["elapsed_seconds"] = round(time.perf_counter() - started, 2)
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self.stdout.write(json.dumps(result, indent=2))
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self.stdout.write(self.style.SUCCESS("Index rebuilt."))
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return
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alias = alias_name()
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if options["status"]:
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exists = client.indices.exists_alias(name=alias)
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payload: dict[str, Any] = {"alias": alias, "exists": bool(exists)}
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if exists:
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indices = list(client.indices.get_alias(name=alias).keys())
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payload["indices"] = indices
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payload["documents"] = client.count(index=alias)["count"]
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self.stdout.write(json.dumps(payload, indent=2))
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return
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if options["drop"]:
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if client.indices.exists_alias(name=alias):
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for name in client.indices.get_alias(name=alias):
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client.indices.delete(index=name, ignore_unavailable=True)
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client.indices.delete(index=alias, ignore_unavailable=True)
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self.stdout.write(self.style.WARNING(f"Dropped index/alias {alias}."))
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