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
72 lines
2.3 KiB
Bash
Executable File
72 lines
2.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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# =============================================================================
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# Container entrypoint.
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#
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# Waits for the dependencies the API cannot start without, applies migrations,
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# and optionally seeds the dataset - all guarded by environment flags so a
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# production deploy can opt out of every side effect.
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# =============================================================================
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set -Eeuo pipefail
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log() { printf '{"level":"INFO","logger":"entrypoint","message":"%s"}\n' "$1"; }
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fail() { printf '{"level":"ERROR","logger":"entrypoint","message":"%s"}\n' "$1" >&2; exit 1; }
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wait_for() {
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local name="$1" host="$2" port="$3" attempts="${4:-60}"
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log "waiting for ${name} at ${host}:${port}"
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for _ in $(seq 1 "${attempts}"); do
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if (echo > "/dev/tcp/${host}/${port}") >/dev/null 2>&1; then
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log "${name} is reachable"
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return 0
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fi
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sleep 2
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done
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fail "${name} did not become reachable at ${host}:${port}"
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}
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: "${POSTGRES_HOST:=postgres}"
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: "${POSTGRES_PORT:=5432}"
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: "${RUN_MIGRATIONS:=true}"
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: "${SEED_DATASET:=false}"
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: "${SEED_USERS:=false}"
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: "${WAIT_FOR_ELASTICSEARCH:=true}"
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wait_for "postgres" "${POSTGRES_HOST}" "${POSTGRES_PORT}"
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if [[ "${SEARCH_BACKEND:-elasticsearch}" == "elasticsearch" && "${WAIT_FOR_ELASTICSEARCH}" == "true" ]]; then
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wait_for "elasticsearch" "${ELASTICSEARCH_HOST:-elasticsearch}" "${ELASTICSEARCH_PORT:-9200}" 90
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fi
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if [[ "${RUN_MIGRATIONS}" == "true" ]]; then
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log "applying database migrations"
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python manage.py migrate --noinput
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fi
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if [[ "${SEED_USERS}" == "true" ]]; then
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log "seeding demo users"
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python manage.py seed_users
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fi
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# Importing ~300 profiles takes a few seconds and is idempotent, but it is still
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# opt-in so restarting a production container never touches the data.
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if [[ "${SEED_DATASET}" == "true" ]]; then
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if python manage.py shell -c "
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import sys
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from apps.profiles.models import Profile
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sys.exit(0 if Profile.objects.exists() else 1)
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" >/dev/null 2>&1; then
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log "dataset already present, skipping import"
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else
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log "importing dataset"
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python manage.py import_profiles
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fi
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if [[ "${SEARCH_BACKEND:-elasticsearch}" == "elasticsearch" ]]; then
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log "building the search index"
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python manage.py search_index --rebuild
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fi
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fi
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log "starting: $*"
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exec "$@"
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