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
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"""Serializers for registration, login and profile of the API's own users."""
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from __future__ import annotations
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import logging
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from typing import Any
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from django.contrib.auth import password_validation
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from django.db import IntegrityError
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from rest_framework import serializers
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from rest_framework_simplejwt.serializers import (
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TokenObtainPairSerializer as BaseTokenObtainPairSerializer,
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)
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from apps.accounts.models import Role, User
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audit = logging.getLogger("audit.auth")
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class UserSerializer(serializers.ModelSerializer):
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can_view_pii = serializers.BooleanField(read_only=True)
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class Meta:
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model = User
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fields = ("id", "email", "full_name", "role", "can_view_pii", "date_joined")
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read_only_fields = fields
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class RegisterSerializer(serializers.ModelSerializer):
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password = serializers.CharField(write_only=True, style={"input_type": "password"})
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password_confirm = serializers.CharField(write_only=True, style={"input_type": "password"})
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class Meta:
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model = User
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fields = ("email", "full_name", "password", "password_confirm")
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def validate_email(self, value: str) -> str:
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return value.strip().lower()
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def validate_password(self, value: str) -> str:
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# Runs Django's configured validators: length, common passwords, etc.
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password_validation.validate_password(value)
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return value
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def validate(self, attrs: dict[str, Any]) -> dict[str, Any]:
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if attrs["password"] != attrs["password_confirm"]:
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raise serializers.ValidationError({"password_confirm": "Passwords do not match."})
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return attrs
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def create(self, validated_data: dict[str, Any]) -> User:
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validated_data.pop("password_confirm")
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password = validated_data.pop("password")
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try:
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# Self-service sign-up always yields the least privileged role;
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# elevation is an explicit admin action.
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return User.objects.create_user(password=password, role=Role.VIEWER, **validated_data)
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except IntegrityError as exc: # pragma: no cover - race with unique index
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raise serializers.ValidationError(
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{"email": "A user with this email already exists."}
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) from exc
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class TokenObtainPairSerializer(BaseTokenObtainPairSerializer):
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"""Adds identity claims to the access token and records an audit event."""
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@classmethod
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def get_token(cls, user: User): # noqa: ANN206
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token = super().get_token(user)
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token["role"] = user.role
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token["email"] = user.email
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return token
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def validate(self, attrs: dict[str, Any]) -> dict[str, Any]:
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data = super().validate(attrs)
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audit.info(
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"login_succeeded",
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extra={
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"event": "login_succeeded",
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"user_id": self.user.id,
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"user_role": self.user.role,
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},
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)
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data["user"] = UserSerializer(self.user).data
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return data
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class LogoutSerializer(serializers.Serializer):
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refresh = serializers.CharField()
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