Files
cyberyan_linkedin_search/backend/config/settings/test.py
T
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

27 lines
944 B
Python

"""Test settings: fast, hermetic, no external services required."""
import os
os.environ.setdefault("DJANGO_SECRET_KEY", "test-secret-key-not-used-anywhere-else")
os.environ.setdefault("DATABASE_URL", "postgres://postgres:postgres@localhost:5432/test_db")
from .base import * # noqa: E402, F403
from .base import LOGGING, SEARCH # noqa: E402
DEBUG = False
SEARCH["BACKEND"] = "postgres" # tests must not need a live Elasticsearch
# Cheap password hashing keeps the suite quick.
PASSWORD_HASHERS = ["django.contrib.auth.hashers.MD5PasswordHasher"] # noqa: S105
CACHES = {"default": {"BACKEND": "django.core.cache.backends.locmem.LocMemCache"}}
# Throttling off by default; individual tests enable it explicitly.
REST_FRAMEWORK_THROTTLE_DISABLED = True
EMAIL_BACKEND = "django.core.mail.backends.locmem.EmailBackend"
LOGGING["root"]["level"] = "CRITICAL"
for _logger in LOGGING["loggers"].values():
_logger["level"] = "CRITICAL"