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2026-04-16 18:08:31 +03:00
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.dockerignore Normal file
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__pycache__/
.pytest_cache/
.venv/
venv/
.coverage
coverage.xml
*.pyc
*.pyo
*.pyd
*.log
*.db
.env
.git/
.vscode/
*.egg-info/
dist/
build/
artifacts/
tokens_data/

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# ===== Encar Scraper Config =====
# Логирование
ENCAR_LOG_LEVEL=INFO
# База данных PostgreSQL
ENCAR_DATABASE_URL=postgresql+psycopg2://encar:encar@postgres:5432/encar_db
ENCAR_DATABASE_ECHO=false
ENCAR_DATABASE_POOL_SIZE=5
ENCAR_DATABASE_MAX_OVERFLOW=10
ENCAR_DATABASE_POOL_RECYCLE_SECONDS=1800
# Redis
ENCAR_REDIS_URL=redis://redis:6379/1
# Celery
CELERY_BROKER_URL=redis://redis:6379/1
CELERY_RESULT_BACKEND=redis://redis:6379/1
CELERY_TASK_SOFT_TIME_LIMIT=14400
CELERY_TASK_TIME_LIMIT=14520
CELERY_BROKER_VISIBILITY_TIMEOUT=15000
CELERY_WORKER_CONCURRENCY=4
CELERY_WORKER_MAX_TASKS_PER_CHILD=50
# Encar Beat — полный прогон каждые 60 минут
ENCAR_BEAT_INTERVAL_MINUTES=60
# 0 = без лимита, парсит ВСЕ авто
ENCAR_BEAT_LIMIT=0

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# Force LF for shell scripts (critical for Docker on Windows)
*.sh text eol=lf
entrypoint.sh text eol=lf
# Default for other files
* text=auto

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__pycache__/
.pytest_cache/
.coverage
coverage.xml
.venv/
venv/
*.pyc
*.pyo
*.pyd
*.log
*.db
storage_state.json
.vscode/
*.egg-info/
dist/
build/
artifacts/
celerybeat-schedule*
tokens_data/
.env

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FROM python:3.12-slim
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1
RUN groupadd --system app && useradd --system --gid app --create-home app
WORKDIR /app
COPY pyproject.toml uv.lock ./
RUN pip install --no-cache-dir uv \
&& uv export --format requirements-txt --no-dev --no-hashes --no-emit-project --frozen -o /tmp/requirements.txt \
&& pip install --no-cache-dir -r /tmp/requirements.txt
COPY . .
RUN pip install --no-cache-dir -e .
RUN python -m compileall -q encar_scraper
RUN chmod +x entrypoint.sh
RUN chown -R app:app /app
STOPSIGNAL SIGINT
USER app
# По умолчанию API, но worker/beat переопределяют CMD в docker-compose
ENTRYPOINT ["./entrypoint.sh"]
CMD ["uvicorn", "encar_scraper.api.app:app", "--host", "0.0.0.0", "--port", "8000"]

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# Encar Scraper
Парсер автомобилей с [encar.com](https://www.encar.com) — крупнейшей корейской площадки продажи авто.
## Как это работает
Скрапер работает через публичный JSON API Encar (без браузера, без Selenium):
1. **Листинг** — `api.encar.com/search/car/list/general` отдаёт список авто с пагинацией (до 1000 на страницу)
2. **Шардирование** — API лимитирует выдачу ~10k результатов, поэтому весь каталог (~230k авто) разбивается на 36 шардов по типу (domestic/import) и диапазонам годов
3. **Фото** — batch endpoint `api.encar.com/v1/readside/vehicles` (до 20 ID за запрос) возвращает все фото с CDN `ci.encar.com`
4. **Переводы** — корейские названия брендов, моделей и цветов автоматически переводятся в русские/английские
5. **Sold-трекинг** — авто, пропавшие из листинга, помечаются как проданные
Celery Beat запускает полную синхронизацию каждые 60 минут. Worker обходит все шарды, парсит данные и пишет батчами в PostgreSQL.
## Особенности
- **Чистые HTTP запросы** — без браузера, через публичный API Encar
- **~100 авто/сек** — полный sync ~230k авто за ~35 мин
- **PostgreSQL** для хранения данных (авто + фото)
- **Celery + Redis** для фоновых задач и периодической синхронизации
- **FastAPI** REST API для управления задачами и просмотра данных
## Быстрый старт (Docker)
```bash
docker compose up -d --build
```
Поднимутся сервисы:
- `encar-postgres` — PostgreSQL
- `encar-redis` — Redis
- `encar-api` — FastAPI на порту 8000
- `encar-worker` — Celery worker
- `encar-beat` — периодическая синхронизация (каждые 60 мин)
## CLI
```bash
# Инициализация БД
encar init-db
# Собрать листинг
encar collect-listing --limit 100
# Синхронизировать листинг в БД
encar sync-listing --limit 100 --car-type all --only-new true
# Синхронизировать одно авто
encar sync-vehicle "https://www.encar.com/dc/dc_cardetailview.do?carid=41421262"
```
### Фильтры
```bash
encar sync-listing --car-type import --manufacturer BMW --year-from 2020 --limit 50
```
## API endpoints
- `GET /health` — проверка доступности
- `GET /api/v1/cars` — список авто с пагинацией и фильтрами
- `GET /api/v1/cars/{car_id}` — детали авто
- `GET /api/v1/cars/by-origin/{origin_id}` — поиск по origin_id
- `POST /api/v1/tasks/sync-vehicle` — синхронизация одного авто
- `POST /api/v1/tasks/sync-listing` — синхронизация листинга
- `GET /api/v1/tasks/{task_id}` — статус задачи
- `GET /api/v1/sync-runs` — история синхронизаций
### Примеры
```bash
# Запуск синхронизации
curl -X POST http://localhost:8000/api/v1/tasks/sync-listing \
-H "Content-Type: application/json" \
-d '{"car_type": "all", "limit": 100, "only_new": true}'
# Статус задачи
curl http://localhost:8000/api/v1/tasks/<task_id>
# Список авто
curl "http://localhost:8000/api/v1/cars?page=1&per_page=20"
```
## Переменные окружения
- **БД:** `ENCAR_DATABASE_URL`
- **Redis:** `ENCAR_REDIS_URL`
- **Celery:** `CELERY_BROKER_URL`, `CELERY_RESULT_BACKEND`, `CELERY_TASK_TIME_LIMIT`
- **Beat:** `ENCAR_BEAT_INTERVAL_MINUTES` (по умолчанию 60), `ENCAR_BEAT_LIMIT` (0 = без лимита)
## Структура проекта
```
encar_scraper/
├── encar.py — скрапер Encar (HTTP API), маппер, переводы
├── cli.py — CLI интерфейс
├── api/
│ ├── app.py — FastAPI приложение
│ └── routes/ — health, cars, tasks
├── core/
│ ├── config.py — настройки из env vars
│ ├── utils.py — утилиты (save_to_json, deep_find_key)
│ └── logs.py — логирование с trace_id
├── storage/
│ ├── db.py — PersistenceService (upsert, session_scope)
│ ├── models.py — SQLAlchemy модели (Car, Image, SyncRun)
│ └── schemas.py — Pydantic схемы (CarRecord, ImageRecord)
└── worker/
├── celery_app.py — Celery app + beat schedule
└── tasks.py — encar_sync_listing_task, encar_sync_vehicle_task
```

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# Alembic Configuration File
[alembic]
script_location = alembic
prepend_sys_path = .
sqlalchemy.url = postgresql+psycopg2://encar:encar@localhost:5434/encar_db
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
qualname =
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S

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# Alembic env.py — подключение к БД через Settings.
import os
import sys
from logging.config import fileConfig
from alembic import context
from sqlalchemy import engine_from_config, pool
# Добавляем корень проекта в sys.path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from encar_scraper.core.config import Settings
from encar_scraper.storage.models import Base
config = context.config
# Logging
if config.config_file_name is not None:
fileConfig(config.config_file_name)
# Подставляем URL из Settings (env vars имеют приоритет)
settings = Settings()
config.set_main_option("sqlalchemy.url", settings.database.url)
target_metadata = Base.metadata
def run_migrations_offline() -> None:
# Run migrations in 'offline' mode.
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
# Run migrations in 'online' mode.
connectable = engine_from_config(
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()

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"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
${upgrades if upgrades else "pass"}
def downgrade() -> None:
${downgrades if downgrades else "pass"}

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# Начальная схема: cars, images, sync_runs
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
revision: str = "001_initial"
down_revision: Union[str, None] = None
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# Таблица cars — автомобили с Encar
op.create_table(
"cars",
sa.Column("id", sa.BigInteger, primary_key=True, autoincrement=True),
sa.Column("parser_id", sa.String(50), nullable=False, unique=True),
sa.Column("brand", sa.String(50), nullable=False),
sa.Column("model", sa.String(50), nullable=False),
sa.Column("year", sa.Integer, nullable=True),
sa.Column("price", sa.BigInteger, nullable=True),
sa.Column("currency", sa.String(10), nullable=False, server_default="USD"),
sa.Column("mileage", sa.Integer, nullable=False, server_default="0"),
sa.Column("country", sa.String(10), nullable=False, server_default="NA"),
sa.Column("is_sold", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("color", sa.String, nullable=False, server_default="other"),
sa.Column("drive", sa.String(10), nullable=True),
sa.Column("gearbox", sa.String(10), nullable=True),
sa.Column("steering_wheel", sa.String(10), nullable=True),
sa.Column("body_type", sa.String(20), nullable=False, server_default="OTHER"),
sa.Column("engine_volume", sa.Integer, nullable=True),
sa.Column("selling_type", sa.String(20), nullable=False, server_default="NA"),
sa.Column("one_owner", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("new_car", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("is_hidden", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("origin", sa.String(20), nullable=False, server_default="NA"),
sa.Column("origin_url", sa.String, nullable=False),
sa.Column("origin_id", sa.String, nullable=False, unique=True),
sa.Column("is_damaged", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("evaluation", sa.String, nullable=True),
sa.Column("non_smoking", sa.Boolean, nullable=False, server_default=sa.text("true")),
sa.Column("rental", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("repair_history", sa.Boolean, nullable=False, server_default=sa.text("false")),
sa.Column("slug", sa.String, nullable=False),
sa.Column("last_seen_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
)
op.create_index("ix_cars_origin_url", "cars", ["origin_url"])
op.create_index("ix_cars_origin_id", "cars", ["origin_id"], unique=True)
# Таблица images — изображения машин
op.create_table(
"images",
sa.Column("id", sa.BigInteger, primary_key=True, autoincrement=True),
sa.Column("fullres_image", sa.String, nullable=False),
sa.Column("preview_image", sa.String, nullable=False),
sa.Column("order_index", sa.Integer, nullable=False),
sa.Column("car_id", sa.Integer, sa.ForeignKey("cars.id", ondelete="CASCADE"), nullable=False),
)
# Таблица sync_runs — логирование синхронизаций
op.create_table(
"sync_runs",
sa.Column("id", sa.BigInteger, primary_key=True, autoincrement=True),
sa.Column("started_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
sa.Column("finished_at", sa.DateTime(timezone=True), nullable=True),
sa.Column("status", sa.Text, nullable=False),
sa.Column("lane", sa.Text, nullable=False),
sa.Column("ids_fetched", sa.Integer, nullable=False, server_default="0"),
sa.Column("cars_upserted", sa.Integer, nullable=False, server_default="0"),
sa.Column("cars_failed", sa.Integer, nullable=False, server_default="0"),
sa.Column("images_upserted", sa.Integer, nullable=False, server_default="0"),
sa.Column("error_summary", sa.Text, nullable=True),
)
def downgrade() -> None:
op.drop_table("sync_runs")
op.drop_table("images")
op.drop_table("cars")

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# Индексы производительности
from typing import Sequence, Union
from alembic import op
revision: str = "002_add_indexes"
down_revision: Union[str, None] = "001_initial"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
op.create_index("ix_cars_brand", "cars", ["brand"])
op.create_index("ix_cars_brand_model", "cars", ["brand", "model"])
op.create_index("ix_cars_year", "cars", ["year"])
op.create_index("ix_cars_is_sold", "cars", ["is_sold"])
op.create_index("ix_cars_last_seen_at", "cars", ["last_seen_at"])
op.create_index("ix_images_car_id", "images", ["car_id"])
op.create_index("ix_sync_runs_status", "sync_runs", ["status"])
def downgrade() -> None:
op.drop_index("ix_sync_runs_status", table_name="sync_runs")
op.drop_index("ix_images_car_id", table_name="images")
op.drop_index("ix_cars_last_seen_at", table_name="cars")
op.drop_index("ix_cars_is_sold", table_name="cars")
op.drop_index("ix_cars_year", table_name="cars")
op.drop_index("ix_cars_brand_model", table_name="cars")
op.drop_index("ix_cars_brand", table_name="cars")

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# Индексы для масштабированной БД (20k+ записей)
from typing import Sequence, Union
from alembic import op
revision: str = "003_add_composite_indexes"
down_revision: Union[str, None] = "002_add_indexes"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# Partial index для активных машин Encar (is_sold = FALSE)
# Ускоряет поиск при mark_sold операциях
op.execute(
"CREATE INDEX IF NOT EXISTS ix_cars_active_encar "
"ON cars (origin_url) "
"WHERE is_sold = FALSE AND origin_id LIKE 'encar:%'"
)
# Composite index для проверки дубликатов изображений
op.create_index(
"ix_images_car_id_fullres",
"images",
["car_id", "fullres_image"],
)
# Index для быстрого поиска existing машин по origin_url
op.execute(
"CREATE INDEX IF NOT EXISTS ix_cars_origin_url_id "
"ON cars (origin_url, origin_id)"
)
def downgrade() -> None:
op.execute("DROP INDEX IF EXISTS ix_cars_origin_url_id")
op.drop_index("ix_images_car_id_fullres", table_name="images")
op.execute("DROP INDEX IF EXISTS ix_cars_active_encar")

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"""widen parser_id brand model columns
Revision ID: 004
Revises: 003_add_composite_indexes
Create Date: 2026-04-15
"""
from alembic import op
import sqlalchemy as sa
revision = "004_widen_string_columns"
down_revision = "003_add_composite_indexes"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.alter_column("cars", "parser_id", type_=sa.String(255), existing_nullable=False)
op.alter_column("cars", "brand", type_=sa.String(100), existing_nullable=False)
op.alter_column("cars", "model", type_=sa.String(500), existing_nullable=False)
def downgrade() -> None:
op.alter_column("cars", "parser_id", type_=sa.String(50), existing_nullable=False)
op.alter_column("cars", "brand", type_=sa.String(50), existing_nullable=False)
op.alter_column("cars", "model", type_=sa.String(50), existing_nullable=False)

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"""add unique constraint on images(car_id, fullres_image)
Revision ID: 005
Revises: 004_widen_string_columns
Create Date: 2026-04-16
"""
from alembic import op
revision = "005_unique_images_constraint"
down_revision = "004_widen_string_columns"
branch_labels = None
depends_on = None
def upgrade() -> None:
# Удаляем дубли через CTE + ROW_NUMBER (быстрее чем NOT IN subquery)
op.execute("""
WITH dupes AS (
SELECT id,
ROW_NUMBER() OVER (PARTITION BY car_id, fullres_image ORDER BY id) AS rn
FROM images
)
DELETE FROM images WHERE id IN (SELECT id FROM dupes WHERE rn > 1)
""")
op.create_unique_constraint(
"uq_images_car_id_fullres",
"images",
["car_id", "fullres_image"],
)
def downgrade() -> None:
op.drop_constraint("uq_images_car_id_fullres", "images", type_="unique")

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"""widen images.car_id from integer to bigint
Revision ID: 006
Revises: 005_unique_images_constraint
Create Date: 2026-04-16
"""
import sqlalchemy as sa
from alembic import op
revision = "006_image_car_id_bigint"
down_revision = "005_unique_images_constraint"
def upgrade() -> None:
op.alter_column(
"images",
"car_id",
existing_type=sa.Integer(),
type_=sa.BigInteger(),
existing_nullable=False,
)
def downgrade() -> None:
op.alter_column(
"images",
"car_id",
existing_type=sa.BigInteger(),
type_=sa.Integer(),
existing_nullable=False,
)

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x-app-env: &app-env
# Database (отдельная БД для Encar, порт 5433)
ENCAR_DATABASE_URL: postgresql+psycopg2://encar:encar@postgres:5432/encar_db
ENCAR_DATABASE_POOL_RECYCLE_SECONDS: ${ENCAR_DATABASE_POOL_RECYCLE_SECONDS:-1800}
# Redis / Celery (порт 6380, db=1)
ENCAR_REDIS_URL: ${ENCAR_REDIS_URL:-redis://redis:6379/1}
CELERY_BROKER_URL: ${CELERY_BROKER_URL:-redis://redis:6379/1}
CELERY_RESULT_BACKEND: ${CELERY_RESULT_BACKEND:-redis://redis:6379/1}
CELERY_TASK_SOFT_TIME_LIMIT: ${CELERY_TASK_SOFT_TIME_LIMIT:-14400}
CELERY_TASK_TIME_LIMIT: ${CELERY_TASK_TIME_LIMIT:-14520}
CELERY_BROKER_VISIBILITY_TIMEOUT: ${CELERY_BROKER_VISIBILITY_TIMEOUT:-15000}
CELERY_WORKER_MAX_TASKS_PER_CHILD: ${CELERY_WORKER_MAX_TASKS_PER_CHILD:-50}
# Encar settings
ENCAR_BEAT_INTERVAL_MINUTES: ${ENCAR_BEAT_INTERVAL_MINUTES:-60}
ENCAR_BEAT_LIMIT: ${ENCAR_BEAT_LIMIT:-0}
TZ: ${TZ:-UTC}
x-env-file: &env-file
- path: .env
required: false
x-app-service: &app-service
build: .
env_file: *env-file
environment: *app-env
services:
# PostgreSQL (порт 5434 наружу)
postgres:
image: postgres:16-alpine
container_name: encar-postgres
restart: unless-stopped
environment:
POSTGRES_USER: encar
POSTGRES_PASSWORD: encar
POSTGRES_DB: encar_db
ports:
- "127.0.0.1:5434:5432"
volumes:
- encar_pgdata:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U encar -d encar_db"]
interval: 5s
timeout: 3s
retries: 5
logging:
driver: json-file
options:
max-size: "10m"
max-file: "5"
# Redis (порт 6380 наружу)
redis:
image: redis:7-alpine
container_name: encar-redis
restart: unless-stopped
ports:
- "127.0.0.1:6380:6379"
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 3s
retries: 5
command: >
redis-server
--appendonly yes
--save 60 1000
volumes:
- encar_redisdata:/data
logging:
driver: json-file
options:
max-size: "10m"
max-file: "5"
# DB migrations
migrate:
<<: *app-service
container_name: encar-migrate
restart: "no"
depends_on:
postgres:
condition: service_healthy
command: alembic upgrade head
# FastAPI
api:
<<: *app-service
container_name: encar-api
restart: unless-stopped
ports:
- "127.0.0.1:8001:8000"
depends_on:
migrate:
condition: service_completed_successfully
redis:
condition: service_healthy
command: >
uvicorn encar_scraper.api.app:app
--host 0.0.0.0 --port 8000 --workers 1
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=5)"]
interval: 30s
timeout: 10s
retries: 3
start_period: 20s
stop_grace_period: 30s
logging:
driver: json-file
options:
max-size: "10m"
max-file: "5"
# Celery Worker (Encar — только HTTP API, без браузера)
worker:
<<: *app-service
container_name: encar-worker
restart: unless-stopped
init: true
depends_on:
migrate:
condition: service_completed_successfully
redis:
condition: service_healthy
stop_grace_period: 30s
command: >
celery -A encar_scraper.worker.celery_app worker
--loglevel=info --concurrency=4 --pool=prefork
--pidfile=/tmp/celery-worker.pid
-Q encar --max-tasks-per-child=50
healthcheck:
test: ["CMD-SHELL", "test -f /tmp/celery-worker.pid && kill -0 $(cat /tmp/celery-worker.pid)"]
interval: 60s
timeout: 10s
retries: 3
start_period: 30s
logging:
driver: json-file
options:
max-size: "10m"
max-file: "5"
# Celery Beat (периодический планировщик)
beat:
<<: *app-service
container_name: encar-beat
restart: unless-stopped
init: true
depends_on:
migrate:
condition: service_completed_successfully
redis:
condition: service_healthy
command: >
celery -A encar_scraper.worker.celery_app beat
--loglevel=info
--pidfile=/tmp/celery-beat.pid
--schedule=/tmp/celerybeat-schedule
healthcheck:
test: ["CMD-SHELL", "test -f /tmp/celery-beat.pid && kill -0 $(cat /tmp/celery-beat.pid)"]
interval: 60s
timeout: 10s
retries: 3
start_period: 30s
logging:
driver: json-file
options:
max-size: "10m"
max-file: "5"
volumes:
encar_pgdata:
encar_redisdata:

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__all__: list[str] = []

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from .app import create_app
__all__ = ["create_app"]

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# Создание FastAPI-приложения и настройка его жизненного цикла.
from contextlib import asynccontextmanager
from fastapi import FastAPI
from ..core.config import Settings
from ..storage.db import PersistenceService
from .routes import cars, health, tasks
@asynccontextmanager
async def lifespan(app: FastAPI):
# Жизненный цикл.
# Таблицы создаются через Alembic-миграции (сервис migrate).
yield
def create_app(settings: Settings | None = None) -> FastAPI:
_settings = settings or Settings()
app = FastAPI(
title="Encar Scraper API",
description="REST API для управления задачами скрапинга Encar и просмотра данных",
version="1.0.0",
lifespan=lifespan,
)
app.state.settings = _settings
app.state.persistence = PersistenceService(_settings)
app.include_router(health.router, tags=["health"])
app.include_router(cars.router, prefix="/api/v1", tags=["cars"])
app.include_router(tasks.router, prefix="/api/v1", tags=["tasks"])
return app
# Экземпляр приложения для запуска через uvicorn.
app = create_app()

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# Вспомогательные зависимости для FastAPI-роутов.
from fastapi import Request
from ..storage.db import PersistenceService
def get_persistence(request: Request) -> PersistenceService:
return request.app.state.persistence

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# Роуты для просмотра автомобилей и агрегированной статистики.
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import func, select
from sqlalchemy.orm import selectinload
from ..deps import get_persistence
from ...storage.db import PersistenceService
from ...storage.models import Car, Image
from ...storage.schemas import CarRead
router = APIRouter()
@router.get("/cars")
def list_cars(
page: int = Query(1, ge=1),
per_page: int = Query(20, ge=1, le=100),
brand: str | None = None,
model: str | None = None,
year_min: int | None = None,
year_max: int | None = None,
is_sold: bool | None = None,
persistence: PersistenceService = Depends(get_persistence),
):
# Список автомобилей с пагинацией и фильтрами
with persistence.session_scope() as session:
query = select(Car)
if brand:
query = query.where(Car.brand.ilike(f"%{brand}%"))
if model:
query = query.where(Car.model.ilike(f"%{model}%"))
if year_min is not None:
query = query.where(Car.year >= year_min)
if year_max is not None:
query = query.where(Car.year <= year_max)
if is_sold is not None:
query = query.where(Car.is_sold == is_sold)
count_query = select(func.count()).select_from(query.subquery())
total = session.execute(count_query).scalar() or 0
offset = (page - 1) * per_page
cars = session.execute(
query.options(selectinload(Car.images)).order_by(Car.last_seen_at.desc()).offset(offset).limit(per_page)
).scalars().all()
return {
"total": total,
"page": page,
"per_page": per_page,
"pages": (total + per_page - 1) // per_page if per_page else 0,
"items": [CarRead.model_validate(car).model_dump(mode="json") for car in cars],
}
@router.get("/cars/{car_id}")
def get_car(
car_id: int,
persistence: PersistenceService = Depends(get_persistence),
):
# Детальная информация об автомобиле с изображениями
with persistence.session_scope() as session:
car = session.get(Car, car_id)
if car is None:
raise HTTPException(status_code=404, detail="Car not found")
return CarRead.model_validate(car).model_dump(mode="json")
@router.get("/cars/by-origin/{origin_id}")
def get_car_by_origin(
origin_id: str,
persistence: PersistenceService = Depends(get_persistence),
):
# Поиск автомобиля по origin_id
with persistence.session_scope() as session:
car = session.execute(
select(Car).where(Car.origin_id == origin_id)
).scalars().first()
if car is None:
raise HTTPException(status_code=404, detail="Car not found")
return CarRead.model_validate(car).model_dump(mode="json")
@router.get("/stats")
def get_stats(persistence: PersistenceService = Depends(get_persistence)):
# Общая статистика по БД
with persistence.session_scope() as session:
total_cars = session.execute(select(func.count(Car.id))).scalar() or 0
total_images = session.execute(select(func.count(Image.id))).scalar() or 0
brands = session.execute(
select(Car.brand, func.count(Car.id))
.group_by(Car.brand)
.order_by(func.count(Car.id).desc())
.limit(20)
).all()
return {
"total_cars": total_cars,
"total_images": total_images,
"top_brands": [{"brand": b, "count": c} for b, c in brands],
}

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# Роут проверки доступности сервиса и соединения с БД.
import logging
from fastapi import APIRouter, Depends
from sqlalchemy import text
from ..deps import get_persistence
from ...storage.db import PersistenceService
router = APIRouter()
logger = logging.getLogger("encar_scraper.api.health")
@router.get("/health")
def health_check(persistence: PersistenceService = Depends(get_persistence)):
# Проверка API и БД
db_ok = False
try:
with persistence.session_scope() as session:
session.execute(text("SELECT 1"))
db_ok = True
except Exception:
logger.warning("Health DB check failed", exc_info=True)
return {
"status": "ok" if db_ok else "degraded",
"service": "encar-scraper-api",
"database": "connected" if db_ok else "unavailable",
}

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# Роуты запуска задач синхронизации Encar и просмотра истории sync-runs.
from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel
from sqlalchemy import select, func
from ..deps import get_persistence
from ...storage.db import PersistenceService
from ...storage.models import SyncRun
from ...worker.celery_app import celery_app
from ...worker.tasks import encar_sync_listing_task, encar_sync_vehicle_task
router = APIRouter()
class SyncVehicleRequest(BaseModel):
vehicle_url: str
lane: str = "encar"
class SyncListingRequest(BaseModel):
car_type: str = "all" # all, domestic, import
manufacturer: str | None = None
year_from: int | None = None
year_to: int | None = None
price_max: int | None = None
lane: str = "encar"
limit: int | None = None
@router.post("/tasks/sync-vehicle")
def start_sync_vehicle(body: SyncVehicleRequest):
"""Синхронизация одного авто Encar."""
result = encar_sync_vehicle_task.apply_async(
kwargs={"vehicle_url": body.vehicle_url, "lane": body.lane},
queue="encar",
)
return {
"task_id": result.id,
"status": "queued",
"vehicle_url": body.vehicle_url,
}
@router.post("/tasks/sync-listing")
def start_sync_listing(body: SyncListingRequest):
"""Синхронизация листинга Encar через публичный API."""
result = encar_sync_listing_task.apply_async(
kwargs={
"car_type": body.car_type,
"manufacturer": body.manufacturer,
"year_from": body.year_from,
"year_to": body.year_to,
"price_max": body.price_max,
"lane": body.lane,
"limit": body.limit,
},
queue="encar",
)
return {
"task_id": result.id,
"status": "queued",
"car_type": body.car_type,
"manufacturer": body.manufacturer,
}
@router.get("/tasks/{task_id}")
def get_task_status(task_id: str):
"""Статус задачи Celery."""
result = celery_app.AsyncResult(task_id)
payload: dict = {
"task_id": task_id,
"state": result.state,
}
if result.successful():
payload["result"] = result.result
elif result.failed():
payload["error"] = str(result.result)
elif result.info is not None:
payload["meta"] = result.info
return payload
@router.get("/sync-runs")
def list_sync_runs(
page: int = Query(1, ge=1),
per_page: int = Query(20, ge=1, le=100),
persistence: PersistenceService = Depends(get_persistence),
):
"""История запусков синхронизации."""
with persistence.session_scope() as session:
total = session.execute(select(func.count(SyncRun.id))).scalar() or 0
offset = (page - 1) * per_page
runs = session.execute(
select(SyncRun).order_by(SyncRun.started_at.desc()).offset(offset).limit(per_page)
).scalars().all()
return {
"total": total,
"page": page,
"per_page": per_page,
"items": [
{
"id": run.id,
"started_at": run.started_at.isoformat() if run.started_at else None,
"finished_at": run.finished_at.isoformat() if run.finished_at else None,
"status": run.status,
"lane": run.lane,
"ids_fetched": run.ids_fetched,
"cars_upserted": run.cars_upserted,
"cars_failed": run.cars_failed,
"images_upserted": run.images_upserted,
"error_summary": run.error_summary,
}
for run in runs
],
}

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import argparse
from pathlib import Path
from .core.config import Settings
from .core.utils import save_to_json
from .encar import EncarScraper, EncarFilters, CAR_TYPE_ALL, CAR_TYPE_DOMESTIC, CAR_TYPE_IMPORT
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="Encar scraper CLI")
subparsers = parser.add_subparsers(dest="command", required=True)
default_output_dir = Path("artifacts/json")
subparsers.add_parser("init-db", help="Create DB tables")
# collect-listing
collect_parser = subparsers.add_parser("collect-listing", help="Collect Encar listing")
collect_parser.add_argument("--limit", type=int, default=None, help="Max items to collect")
collect_parser.add_argument("--car-type", choices=["all", "domestic", "import"], default="all",
help="all=все, domestic=корейские, import=импорт")
collect_parser.add_argument("--manufacturer", default=None, help="Filter by manufacturer (e.g. BMW, 현대)")
collect_parser.add_argument("--year-from", type=int, default=None, help="Min year")
collect_parser.add_argument("--year-to", type=int, default=None, help="Max year")
collect_parser.add_argument("--price-max", type=int, default=None, help="Max price in 만원 (10k KRW)")
collect_parser.add_argument("--output", default=str(default_output_dir / "encar_listing.json"))
# scrape-vehicle
scrape_parser = subparsers.add_parser("scrape-vehicle", help="Fetch single vehicle data")
scrape_parser.add_argument("vehicle_url")
scrape_parser.add_argument("--output", default=str(default_output_dir / "encar_vehicle_detail.json"))
# sync-vehicle
sync_parser = subparsers.add_parser("sync-vehicle", help="Sync single vehicle into DB")
sync_parser.add_argument("vehicle_url")
sync_parser.add_argument("--lane", default="encar")
sync_parser.add_argument("--output", default=str(default_output_dir / "encar_sync_vehicle.json"))
# sync-listing
sync_listing_parser = subparsers.add_parser("sync-listing", help="Collect listing and sync all to DB")
sync_listing_parser.add_argument("--limit", type=int, default=None, help="Max items to sync")
sync_listing_parser.add_argument("--car-type", choices=["all", "domestic", "import"], default="all")
sync_listing_parser.add_argument("--manufacturer", default=None, help="Filter by manufacturer")
sync_listing_parser.add_argument("--year-from", type=int, default=None)
sync_listing_parser.add_argument("--year-to", type=int, default=None)
sync_listing_parser.add_argument("--price-max", type=int, default=None)
sync_listing_parser.add_argument("--lane", default="encar")
sync_listing_parser.add_argument("--only-new", choices=["true", "false"], default="true")
sync_listing_parser.add_argument("--output", default=str(default_output_dir / "encar_sync_listing.json"))
return parser
def _build_filters_from_args(args) -> EncarFilters:
"""Строит фильтры из аргументов CLI."""
car_type_map = {"all": CAR_TYPE_ALL, "domestic": CAR_TYPE_DOMESTIC, "import": CAR_TYPE_IMPORT}
return EncarFilters(
car_type=car_type_map.get(getattr(args, "car_type", "all"), CAR_TYPE_ALL),
manufacturer=getattr(args, "manufacturer", None),
year_from=getattr(args, "year_from", None),
year_to=getattr(args, "year_to", None),
price_to=getattr(args, "price_max", None),
)
def main() -> None:
import sys
import logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
stream=sys.stderr,
)
parser = build_parser()
args = parser.parse_args()
scraper = EncarScraper()
if args.command == "init-db":
result = scraper.init_db()
print(f"DB initialized: {result}")
return
elif args.command == "collect-listing":
filters = _build_filters_from_args(args)
result = scraper.collect_listing(limit=args.limit, filters=filters)
elif args.command == "scrape-vehicle":
result = scraper.scrape_vehicle_detail(args.vehicle_url)
elif args.command == "sync-vehicle":
result = scraper.sync_vehicle(args.vehicle_url, lane=args.lane)
elif args.command == "sync-listing":
filters = _build_filters_from_args(args)
only_new = args.only_new == "true"
result = scraper.sync_listing(limit=args.limit, filters=filters, lane=args.lane, only_new=only_new)
else:
raise SystemExit(f"Unknown command: {args.command}")
save_to_json(result, Path(args.output))
print(f"Saved to {Path(args.output).resolve()}")
if __name__ == "__main__":
main()

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__all__: list[str] = []

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import os
from dataclasses import dataclass, field
from pathlib import Path
from dotenv import load_dotenv
load_dotenv()
TRUE_VALUES = {"1", "true", "yes", "on"}
# Хелперы для чтения env-переменных с приведением типов
def _env_str(name: str, default: str) -> str:
value = os.getenv(name)
return value if value is not None else default
def _env_optional_str(name: str) -> str | None:
value = os.getenv(name)
if value is None:
return None
value = value.strip()
return value or None
def _env_path_str(name: str) -> str | None:
value = _env_optional_str(name)
if value is None:
return None
return str(Path(value).expanduser())
def _env_bool(name: str, default: bool) -> bool:
fallback = "true" if default else "false"
return _env_str(name, fallback).strip().lower() in TRUE_VALUES
def _env_int(name: str, default: int) -> int:
return int(_env_str(name, str(default)).strip())
def _env_float(name: str, default: float) -> float:
return float(_env_str(name, str(default)).strip())
# Конфиг браузерного отпечатка (User-Agent для HTTP запросов)
@dataclass(slots=True)
class FingerprintConfig:
user_agent: str = (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/135.0.0.0 Safari/537.36"
)
# - Конфиг PostgreSQL (URL, пул соединений, pool_recycle)
@dataclass(slots=True)
class DatabaseConfig:
url: str = _env_str("ENCAR_DATABASE_URL", "postgresql+psycopg2://encar:encar@localhost:5434/encar_db")
echo: bool = _env_bool("ENCAR_DATABASE_ECHO", False)
pool_size: int = _env_int("ENCAR_DATABASE_POOL_SIZE", 5)
max_overflow: int = _env_int("ENCAR_DATABASE_MAX_OVERFLOW", 10)
pool_recycle_seconds: int = _env_int("ENCAR_DATABASE_POOL_RECYCLE_SECONDS", 1800)
auto_create_tables: bool = _env_bool("ENCAR_DATABASE_AUTO_CREATE_TABLES", False)
# --- Конфиг Redis (URL для Celery broker) ---
@dataclass(slots=True)
class RedisConfig:
url: str = _env_str("ENCAR_REDIS_URL", "redis://localhost:6380/1")
# --- Конфиг Celery (лимиты задач, concurrency, beat-расписание) ---
@dataclass(slots=True)
class CeleryConfig:
broker_url: str = _env_str("CELERY_BROKER_URL", "")
result_backend: str = _env_str("CELERY_RESULT_BACKEND", "")
task_soft_time_limit: int = _env_int("CELERY_TASK_SOFT_TIME_LIMIT", 14400)
task_time_limit: int = _env_int("CELERY_TASK_TIME_LIMIT", 14520)
worker_concurrency: int = _env_int("CELERY_WORKER_CONCURRENCY", 4)
worker_max_tasks_per_child: int = _env_int("CELERY_WORKER_MAX_TASKS_PER_CHILD", 50)
broker_visibility_timeout: int = _env_int("CELERY_BROKER_VISIBILITY_TIMEOUT", 7200)
# Encar settings
encar_beat_interval_minutes: int = _env_int("ENCAR_BEAT_INTERVAL_MINUTES", 60)
encar_beat_limit: int | None = _env_int("ENCAR_BEAT_LIMIT", 0) or None
# --- Главный объект настроек: собирает все блоки конфигурации ---
@dataclass(slots=True)
class Settings:
log_level: str = _env_str("ENCAR_LOG_LEVEL", "INFO")
log_file: str | None = _env_optional_str("ENCAR_LOG_FILE")
fingerprint: FingerprintConfig = field(default_factory=FingerprintConfig)
database: DatabaseConfig = field(default_factory=DatabaseConfig)
redis: RedisConfig = field(default_factory=RedisConfig)
celery: CeleryConfig = field(default_factory=CeleryConfig)
# Глобальный синглтон — используется по умолчанию во всех модулях.
settings = Settings()

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class ScraperError(Exception):
"""Базовое исключение скрапера."""

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import logging
import sys
from contextvars import ContextVar
# Храним trace_id текущего потока/корутины.
TRACE_ID: ContextVar[str] = ContextVar("trace_id", default="-")
class TraceIdFilter(logging.Filter):
# Добавляет trace_id в каждую запись лога для сквозной трассировки.
def filter(self, record: logging.LogRecord) -> bool:
record.trace_id = TRACE_ID.get()
return True
def set_trace_id(trace_id: str) -> None:
TRACE_ID.set(trace_id)
def setup_logging(level: str = "INFO", log_file: str | None = None) -> None:
handlers: list[logging.Handler] = [logging.StreamHandler(sys.stdout)]
if log_file:
handlers.append(logging.FileHandler(log_file, encoding="utf-8"))
trace_filter = TraceIdFilter()
for handler in handlers:
handler.addFilter(trace_filter)
logging.basicConfig(
level=getattr(logging, level.upper(), logging.INFO),
format="%(asctime)s | %(levelname)s | %(name)s | trace=%(trace_id)s | %(message)s",
handlers=handlers,
force=True,
)

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"""Загрузчик runtime_config.json для управления фильтрами синхронизации."""
from __future__ import annotations
import json
import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
logger = logging.getLogger("encar_scraper.runtime_config")
DEFAULT_CONFIG_PATH = Path(__file__).resolve().parent.parent.parent / "runtime_config.json"
@dataclass
class SyncConfig:
name: str | None = None
lane: str = "encar_cars"
only_new: bool = False
limit: int | None = None
probe_all_photos: bool = False
@dataclass
class FiltersConfig:
price_min: int | None = None
price_max: int | None = None
mileage_min: int | None = None
mileage_max: int | None = None
brands: list[str] = field(default_factory=list)
models: list[str] = field(default_factory=list)
years: list[int] = field(default_factory=list)
body_types: list[str] = field(default_factory=list)
colors: list[str] = field(default_factory=list)
drives: list[str] = field(default_factory=list)
gearboxes: list[str] = field(default_factory=list)
exclude_brands: list[str] = field(default_factory=list)
exclude_models: list[str] = field(default_factory=list)
exclude_years: list[int] = field(default_factory=list)
exclude_body_types: list[str] = field(default_factory=list)
@dataclass
class RuntimeConfig:
sync: SyncConfig = field(default_factory=SyncConfig)
filters: FiltersConfig = field(default_factory=FiltersConfig)
def load_runtime_config(path: str | Path | None = None) -> RuntimeConfig:
"""Загружает runtime_config.json. Если файл не найден — возвращает дефолт."""
config_path = Path(path) if path else DEFAULT_CONFIG_PATH
if not config_path.exists():
logger.info("runtime_config.json not found at %s, using defaults", config_path)
return RuntimeConfig()
try:
raw: dict[str, Any] = json.loads(config_path.read_text(encoding="utf-8"))
except Exception as exc:
logger.warning("Failed to parse runtime_config.json: %s, using defaults", exc)
return RuntimeConfig()
sync_raw = raw.get("sync") or {}
filters_raw = raw.get("filters") or {}
price_raw = filters_raw.get("price") or {}
mileage_raw = filters_raw.get("mileage") or {}
sync = SyncConfig(
name=sync_raw.get("name"),
lane=sync_raw.get("lane", "encar_cars"),
only_new=bool(sync_raw.get("only_new", False)),
limit=sync_raw.get("limit"),
probe_all_photos=bool(sync_raw.get("probe_all_photos", False)),
)
filters = FiltersConfig(
price_min=price_raw.get("min"),
price_max=price_raw.get("max"),
mileage_min=mileage_raw.get("min"),
mileage_max=mileage_raw.get("max"),
brands=[b.lower() for b in (filters_raw.get("brands") or [])],
models=[m.lower() for m in (filters_raw.get("models") or [])],
years=filters_raw.get("years") or [],
body_types=[b.lower() for b in (filters_raw.get("body_types") or [])],
colors=[c.lower() for c in (filters_raw.get("colors") or [])],
drives=[d.lower() for d in (filters_raw.get("drives") or [])],
gearboxes=[g.lower() for g in (filters_raw.get("gearboxes") or [])],
exclude_brands=[b.lower() for b in (filters_raw.get("exclude_brands") or [])],
exclude_models=[m.lower() for m in (filters_raw.get("exclude_models") or [])],
exclude_years=filters_raw.get("exclude_years") or [],
exclude_body_types=[b.lower() for b in (filters_raw.get("exclude_body_types") or [])],
)
logger.info(
"runtime_config loaded: lane=%s, limit=%s, brands=%d, exclude_brands=%d",
sync.lane, sync.limit, len(filters.brands), len(filters.exclude_brands),
)
return RuntimeConfig(sync=sync, filters=filters)

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import json
import re
from pathlib import Path
from typing import Any, Callable, Iterable
def save_to_json(data: Any, filename: str | Path) -> None:
path = Path(filename)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
def first_non_empty(values: Iterable[Any]) -> Any | None:
for value in values:
if value not in (None, "", [], {}, ()):
return value
return None
# Регулярные выражения для VIN, lot и price.
VIN_RE = re.compile(r"\b([A-HJ-NPR-Z0-9]{17})\b", re.IGNORECASE)
LOT_RE = re.compile(r"\b(\d{7,10})\b")
PRICE_RE = re.compile(r"\$\s?([\d,]+(?:\.\d{1,2})?)")
def deep_find_key(obj, target_keys: set[str], max_depth: int = 64, _depth: int = 0) -> list:
# Рекурсивно ищет значения по набору ключей в произвольном JSON-дереве.
found = []
if _depth >= max_depth:
return found
if isinstance(obj, dict):
for key, value in obj.items():
if key.lower() in target_keys:
found.append(value)
found.extend(deep_find_key(value, target_keys, max_depth=max_depth, _depth=_depth + 1))
elif isinstance(obj, list):
for item in obj:
found.extend(deep_find_key(item, target_keys, max_depth=max_depth, _depth=_depth + 1))
return found
def deep_find_all_keys(
payloads: list,
field_map: dict[str, set[str]],
max_depth: int = 64,
) -> dict[str, list]:
"""Извлекает все нужные поля за один проход по JSON."""
# Готовим обратную карту: нормализованный ключ -> имя поля.
reverse: dict[str, str] = {}
for field_name, keys in field_map.items():
for k in keys:
reverse[k.lower()] = field_name
result: dict[str, list] = {f: [] for f in field_map}
def _recurse(obj: Any, depth: int) -> None:
if depth >= max_depth:
return
if isinstance(obj, dict):
for k, v in obj.items():
field = reverse.get(k.lower())
if field is not None:
result[field].append(v)
_recurse(v, depth + 1)
elif isinstance(obj, list):
for item in obj:
_recurse(item, depth + 1)
for payload in payloads:
_recurse(payload, 0)
return result

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__all__: list[str] = []

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import logging
from contextlib import contextmanager
from datetime import datetime, timezone
from typing import Any, Iterator
from sqlalchemy import create_engine, delete, or_, select, text, update
from sqlalchemy.dialects.postgresql import insert as pg_insert
from sqlalchemy.orm import Session, sessionmaker
from ..core.config import Settings
from .models import Base, Car, Image, SyncRun
from .schemas import CarRecord
logger = logging.getLogger("encar_scraper.db")
CAR_DB_FIELDS = {
col.key for col in Car.__table__.columns
if col.key not in ("id",)
}
_IN_CHUNK_SIZE = 5000
class PersistenceService:
def __init__(self, settings: Settings) -> None:
self.settings = settings
engine_kwargs = {
"echo": settings.database.echo,
"future": True,
}
if "postgresql" in settings.database.url:
engine_kwargs["pool_size"] = settings.database.pool_size
engine_kwargs["max_overflow"] = settings.database.max_overflow
engine_kwargs["pool_pre_ping"] = True
engine_kwargs["pool_recycle"] = settings.database.pool_recycle_seconds
self.engine = create_engine(settings.database.url, **engine_kwargs)
self.session_factory = sessionmaker(bind=self.engine, expire_on_commit=False, future=True)
def create_tables(self) -> None:
# В тестах/локально на SQLite разрешаем create_all; для non-SQLite в проде — только через миграции.
is_sqlite = self.settings.database.url.startswith("sqlite")
if not is_sqlite and not self.settings.database.auto_create_tables:
return
try:
Base.metadata.create_all(self.engine)
except Exception:
logger.debug("create_tables skipped (schema already exists)")
@contextmanager
def session_scope(self) -> Iterator[Session]:
session = self.session_factory()
try:
yield session
session.commit()
except Exception:
session.rollback()
raise
finally:
session.close()
def start_sync_run(self, lane: str) -> int:
with self.session_scope() as session:
now = datetime.now(timezone.utc)
stale_runs = session.execute(select(SyncRun).where(SyncRun.status == "running")).scalars().all()
for stale in stale_runs:
stale.status = "failed"
stale.finished_at = now
if not stale.error_summary:
stale.error_summary = "Recovered stale running sync run before starting a new run"
run = SyncRun(status="running", lane=lane, ids_fetched=0, cars_upserted=0, cars_failed=0, images_upserted=0)
session.add(run)
session.flush()
return int(run.id)
def finish_sync_run(self, run_id: int, *, status: str, ids_fetched: int, cars_upserted: int, cars_failed: int, images_upserted: int, error_summary: str | None = None) -> None:
with self.session_scope() as session:
run = session.get(SyncRun, run_id)
if run is None:
return
run.finished_at = datetime.now(timezone.utc)
run.status = status
run.ids_fetched = ids_fetched
run.cars_upserted = cars_upserted
run.cars_failed = cars_failed
run.images_upserted = images_upserted
run.error_summary = error_summary
@staticmethod
def _add_images(session: Session, car_id: int, images: list[dict[str, object]]) -> None:
if not images:
return
session.add_all([
Image(
fullres_image=str(img["fullres_image"]),
preview_image=str(img["preview_image"]),
order_index=int(img.get("order_index", 0)),
car_id=car_id,
)
for img in images
])
@staticmethod
def _car_payload(record: CarRecord) -> dict[str, object]:
payload = record.model_dump(mode="python")
return {key: value for key, value in payload.items() if key in CAR_DB_FIELDS}
def _is_postgres(self) -> bool:
return self.engine.dialect.name == "postgresql"
def _load_existing_cars(
self,
session: Session,
origin_ids: list[str],
origin_urls: list[str],
) -> tuple[dict[str, Car], dict[str, Car]]:
existing_by_id: dict[str, Car] = {}
existing_by_url: dict[str, Car] = {}
if not origin_ids and not origin_urls:
return existing_by_id, existing_by_url
existing_cars: list[Car] = []
max_len = max(len(origin_ids), len(origin_urls), 1)
for i in range(0, max_len, _IN_CHUNK_SIZE):
id_chunk = origin_ids[i:i + _IN_CHUNK_SIZE]
url_chunk = origin_urls[i:i + _IN_CHUNK_SIZE]
conditions = []
if id_chunk:
conditions.append(Car.origin_id.in_(id_chunk))
if url_chunk:
conditions.append(Car.origin_url.in_(url_chunk))
if not conditions:
continue
rows = session.execute(
select(Car).where(or_(*conditions))
).scalars().all()
existing_cars.extend(rows)
for car in existing_cars:
if car.origin_id:
existing_by_id[car.origin_id] = car
if car.origin_url:
existing_by_url[car.origin_url] = car
return existing_by_id, existing_by_url
def _load_existing_image_urls(self, session: Session, car_ids: set[int]) -> dict[int, set[str]]:
existing_images_map: dict[int, set[str]] = {}
if not car_ids:
return existing_images_map
car_id_list = list(car_ids)
for i in range(0, len(car_id_list), _IN_CHUNK_SIZE):
chunk = car_id_list[i:i + _IN_CHUNK_SIZE]
img_rows = session.execute(
select(Image.car_id, Image.fullres_image).where(Image.car_id.in_(chunk))
).all()
for cid, furl in img_rows:
existing_images_map.setdefault(int(cid), set()).add(str(furl))
return existing_images_map
@staticmethod
def _postgres_upsert_set_map(insert_stmt) -> dict[str, object]:
return {
key: getattr(insert_stmt.excluded, key)
for key in CAR_DB_FIELDS
}
def _replace_images_for_car(
self,
session: Session,
car_id: int,
images: list[dict[str, object]],
origin_id: str,
) -> int:
nested = session.begin_nested()
try:
session.execute(delete(Image).where(Image.car_id == car_id))
self._add_images(session, car_id, images)
session.flush()
nested.commit()
return len(images)
except Exception:
nested.rollback()
logger.warning("Image replacement failed for car %s, keeping old images", origin_id, exc_info=True)
return 0
def _upsert_cars_batch_postgres(self, records: list[CarRecord]) -> dict[str, int]:
inserted = 0
updated = 0
images_total = 0
with self.session_scope() as session:
origin_ids = [r.origin_id for r in records if r.origin_id]
origin_urls = [r.origin_url for r in records if r.origin_url]
existing_by_id, existing_by_url = self._load_existing_cars(session, origin_ids, origin_urls)
entries: list[dict[str, object]] = []
upsert_payloads: list[dict[str, object]] = []
for record in records:
payload = self._car_payload(record)
images = [image.model_dump(mode="python") for image in record.images]
car_by_id = existing_by_id.get(record.origin_id)
car_by_url = existing_by_url.get(record.origin_url)
entry: dict[str, object] = {"record": record, "images": images, "car_id": None}
if car_by_url is not None and car_by_url.origin_id != record.origin_id and car_by_id is None:
for key, value in payload.items():
setattr(car_by_url, key, value)
car_by_url.last_seen_at = record.last_seen_at
entry["car_id"] = int(car_by_url.id)
updated += 1
else:
upsert_payloads.append(payload)
if car_by_id is not None:
updated += 1
else:
inserted += 1
entries.append(entry)
session.flush()
if upsert_payloads:
insert_stmt = pg_insert(Car).values(upsert_payloads)
upsert_stmt = insert_stmt.on_conflict_do_update(
index_elements=[Car.origin_id],
set_=self._postgres_upsert_set_map(insert_stmt),
).returning(Car.id, Car.origin_id)
rows = session.execute(upsert_stmt).all()
car_ids_by_origin_id = {str(origin_id): int(car_id) for car_id, origin_id in rows}
for entry in entries:
if entry["car_id"] is not None:
continue
record = entry["record"]
car_id = car_ids_by_origin_id.get(record.origin_id)
if car_id is None:
raise RuntimeError(f"PostgreSQL upsert did not return car_id for {record.origin_id}")
entry["car_id"] = car_id
car_ids = {int(entry["car_id"]) for entry in entries if entry["car_id"] is not None}
existing_images_map = self._load_existing_image_urls(session, car_ids)
images_by_car_id: dict[int, list[dict[str, object]]] = {}
replace_ids: list[int] = []
for entry in entries:
car_id = int(entry["car_id"])
images = entry["images"]
new_image_urls = {
str(img.get("fullres_image", ""))
for img in images
if img.get("fullres_image")
}
old_image_urls = existing_images_map.get(car_id, set())
if new_image_urls != old_image_urls:
replace_ids.append(car_id)
images_by_car_id[car_id] = images
else:
images_total += len(old_image_urls)
if replace_ids:
for i in range(0, len(replace_ids), _IN_CHUNK_SIZE):
chunk = replace_ids[i:i + _IN_CHUNK_SIZE]
session.execute(delete(Image).where(Image.car_id.in_(chunk)))
for car_id in replace_ids:
images = images_by_car_id[car_id]
self._add_images(session, car_id, images)
images_total += len(images)
return {"inserted": inserted, "updated": updated, "images_upserted": images_total}
def upsert_car(self, record: CarRecord):
# Вставка или обновление автомобиля по origin_id/origin_url.
payload = self._car_payload(record)
images = [image.model_dump(mode="python") for image in record.images]
with self.session_scope() as session:
if self._is_postgres():
car_by_url = session.execute(
select(Car).where(Car.origin_url == record.origin_url)
).scalar_one_or_none()
if car_by_url is not None and car_by_url.origin_id != record.origin_id:
for key, value in payload.items():
setattr(car_by_url, key, value)
car_by_url.last_seen_at = record.last_seen_at
session.flush()
car_id = int(car_by_url.id)
action = "updated"
else:
existed = session.execute(
select(Car.id).where(Car.origin_id == record.origin_id)
).scalar_one_or_none() is not None
insert_stmt = pg_insert(Car).values(**payload)
upsert_stmt = insert_stmt.on_conflict_do_update(
index_elements=[Car.origin_id],
set_=self._postgres_upsert_set_map(insert_stmt),
).returning(Car.id)
car_id = int(session.execute(upsert_stmt).scalar_one())
action = "updated" if existed or car_by_url is not None else "inserted"
images_upserted = self._replace_images_for_car(
session, car_id, images, record.origin_id,
)
return {"car_id": car_id, "images_upserted": images_upserted, "action": action}
car = session.execute(
select(Car).where(or_(Car.origin_id == record.origin_id, Car.origin_url == record.origin_url))
).scalar_one_or_none()
action = "inserted"
if car is None:
car = Car(**payload)
session.add(car)
session.flush()
else:
action = "updated"
for key, value in payload.items():
setattr(car, key, value)
car.last_seen_at = record.last_seen_at
session.flush()
images_upserted = self._replace_images_for_car(session, int(car.id), images, record.origin_id)
return {"car_id": int(car.id), "images_upserted": images_upserted, "action": action}
self._add_images(session, int(car.id), images)
session.flush()
return {"car_id": int(car.id), "images_upserted": len(images), "action": action}
def upsert_cars_batch(self, records: list[CarRecord]) -> dict[str, int]:
"""Пакетный upsert нескольких автомобилей в одной транзакции.
Оптимизации:
- Дедупликация записей по origin_id перед вставкой.
- Chunked IN-queries для больших списков (обход лимита PG параметров).
- Пропуск перезаписи изображений, если набор URL не изменился.
- Один DELETE по car_id IN (...) вместо удаления по одному.
- Fallback на по-одному upsert если batch commit упал.
"""
# ── Дедупликация записей внутри батча ──
seen_ids: dict[str, int] = {}
unique_records: list[CarRecord] = []
for idx, r in enumerate(records):
key = r.origin_id or r.origin_url
if key in seen_ids:
logger.debug("Dedup: skipping duplicate record %s (idx %d vs %d)", key, idx, seen_ids[key])
continue
seen_ids[key] = idx
unique_records.append(r)
if len(unique_records) < len(records):
logger.info("Deduped batch: %d → %d records", len(records), len(unique_records))
records = unique_records
try:
return self._upsert_cars_batch_inner(records)
except Exception as exc:
logger.warning("Batch upsert failed (%s), falling back to individual upserts", exc)
return self._upsert_cars_individually(records)
def _upsert_cars_batch_inner(self, records: list[CarRecord]) -> dict[str, int]:
"""Внутренняя реализация batched upsert (одна транзакция)."""
if self._is_postgres():
return self._upsert_cars_batch_postgres(records)
inserted = 0
updated = 0
images_total = 0
with self.session_scope() as session:
# Получаем существующие записи chunked-запросами.
origin_ids = [r.origin_id for r in records if r.origin_id]
origin_urls = [r.origin_url for r in records if r.origin_url]
existing_by_id, existing_by_url = self._load_existing_cars(session, origin_ids, origin_urls)
# Предзагружаем ВСЕ изображения для обновляемых машин одним запросом.
existing_car_ids = set()
for record in records:
car = existing_by_id.get(record.origin_id) or existing_by_url.get(record.origin_url)
if car is not None:
existing_car_ids.add(int(car.id))
# Строим маппинг car_id → set(image_urls) для сравнения.
existing_images_map = self._load_existing_image_urls(session, existing_car_ids)
new_cars: list[tuple[Car, list[dict]]] = []
update_cars_needing_images: list[tuple[Car, list[dict]]] = []
for record in records:
payload = self._car_payload(record)
images = [image.model_dump(mode="python") for image in record.images]
car = existing_by_id.get(record.origin_id) or existing_by_url.get(record.origin_url)
if car is None:
car = Car(**payload)
session.add(car)
inserted += 1
new_cars.append((car, images))
else:
for key, value in payload.items():
setattr(car, key, value)
car.last_seen_at = record.last_seen_at
updated += 1
# Проверяем, изменились ли изображения.
new_image_urls = {img.get("fullres_image", "") for img in images}
old_image_urls = existing_images_map.get(int(car.id), set())
if new_image_urls != old_image_urls:
update_cars_needing_images.append((car, images))
else:
images_total += len(old_image_urls)
# Один flush для всех вставок.
session.flush()
# Добавляем изображения для новых автомобилей.
for car, images in new_cars:
self._add_images(session, int(car.id), images)
images_total += len(images)
# Массово обновляем изображения только для машин с изменёнными картинками.
if update_cars_needing_images:
update_ids = [int(car.id) for car, _ in update_cars_needing_images]
for i in range(0, len(update_ids), _IN_CHUNK_SIZE):
chunk = update_ids[i:i + _IN_CHUNK_SIZE]
session.execute(delete(Image).where(Image.car_id.in_(chunk)))
for car, images in update_cars_needing_images:
self._add_images(session, int(car.id), images)
images_total += len(images)
return {"inserted": inserted, "updated": updated, "images_upserted": images_total}
def _upsert_cars_individually(self, records: list[CarRecord]) -> dict[str, int]:
# Fallback на поштучный upsert.
inserted = 0
updated = 0
images_total = 0
for record in records:
try:
result = self.upsert_car(record)
action = result.get("action", "inserted")
if action == "inserted":
inserted += 1
else:
updated += 1
images_total += int(result.get("images_upserted", 0))
except Exception as exc:
logger.error("Individual upsert failed for %s: %s", record.origin_id, exc)
return {"inserted": inserted, "updated": updated, "images_upserted": images_total}
def mark_sold_not_in_listing(self, active_origin_ids: set[str], lane: str = "encar") -> int:
"""Помечает авто как проданные, если их нет в активном листинге (по origin_id).
Для PostgreSQL использует временную таблицу + LEFT JOIN вместо NOT IN,
что кардинально быстрее при больших объёмах (200K+ IDs).
"""
if not active_origin_ids:
return 0
with self.session_scope() as session:
if self._is_postgres():
session.execute(text("CREATE TEMP TABLE IF NOT EXISTS _active_ids (origin_id TEXT NOT NULL) ON COMMIT DROP"))
session.execute(text("TRUNCATE _active_ids"))
id_list = list(active_origin_ids)
for i in range(0, len(id_list), _IN_CHUNK_SIZE):
chunk = id_list[i:i + _IN_CHUNK_SIZE]
values = ",".join(f"(:{f'u{j}'})" for j in range(len(chunk)))
params = {f"u{j}": oid for j, oid in enumerate(chunk)}
session.execute(text(f"INSERT INTO _active_ids (origin_id) VALUES {values}"), params)
session.execute(text("CREATE INDEX IF NOT EXISTS _ix_active_ids ON _active_ids (origin_id)"))
result = session.execute(text("""
UPDATE cars
SET is_sold = TRUE
FROM (
SELECT c.id
FROM cars c
LEFT JOIN _active_ids a ON c.origin_id = a.origin_id
WHERE a.origin_id IS NULL
AND c.is_sold = FALSE
AND c.origin_id LIKE 'encar:%%'
) sub
WHERE cars.id = sub.id
"""))
count = result.rowcount or 0
else:
stmt = (
update(Car)
.where(Car.origin_id.notin_(active_origin_ids))
.where(Car.is_sold == False) # noqa: E712
.where(Car.origin_id.like("encar:%"))
.values(is_sold=True)
)
result = session.execute(stmt)
count = result.rowcount or 0
if count:
logger.info("Marked %d cars as sold (no longer in listing)", count)
return count

36
encar_scraper/storage/enums.py Normal file
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CURRENCY_ENUM_VALUES = ("JPY", "USD", "EUR", "RUB", "KRW", "AED", "GBP", "CAD")
DRIVE_ENUM_VALUES = ("FWD", "RWD", "2WD", "4WD", "NA")
GEARBOX_ENUM_VALUES = ("AT", "CVT", "MT", "EV", "NA")
STEERING_WHEEL_ENUM_VALUES = ("LEFT", "RIGHT", "NA")
BODY_TYPE_ENUM_VALUES = (
"COUPE",
"SUV",
"HATCHBACK",
"MINIVAN",
"SEDAN",
"STATION_WAGON",
"PICKUP",
"TRUCK",
"OPEN",
"RV",
"VAN",
"CONVERTIBLE",
"BUS",
"COMPACT",
"MID_SIZE",
"FULL_SIZE",
"SPORTS",
"CLASSIC",
"ELECTRIC",
"HYBRID",
"SPECIAL",
"WAGON",
"OTHER",
"NA",
)
COUNTRY_ENUM_VALUES = ("JP", "KR", "US", "CA", "NA")
ORIGIN_ENUM_VALUES = (
"ENCAR",
"NA",
)
SELLING_TYPE_ENUM_VALUES = ("STOCK", "AUCTION", "TENDER", "NA")

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encar_scraper/storage/models.py Normal file
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from datetime import datetime
from sqlalchemy import BigInteger, Boolean, DateTime, Enum, ForeignKey, Index, Integer, String, Text, func
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
from .enums import (
BODY_TYPE_ENUM_VALUES,
COUNTRY_ENUM_VALUES,
CURRENCY_ENUM_VALUES,
DRIVE_ENUM_VALUES,
GEARBOX_ENUM_VALUES,
ORIGIN_ENUM_VALUES,
SELLING_TYPE_ENUM_VALUES,
STEERING_WHEEL_ENUM_VALUES,
)
class Base(DeclarativeBase):
pass
class Car(Base):
__tablename__ = "cars"
__table_args__ = (
Index("ix_cars_brand_model", "brand", "model"),
Index("ix_cars_origin_id_not_sold", "origin_id", "is_sold"),
)
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
parser_id: Mapped[str] = mapped_column(String(255), nullable=False, unique=True)
brand: Mapped[str] = mapped_column(String(100), nullable=False, index=True)
model: Mapped[str] = mapped_column(String(500), nullable=False)
year: Mapped[int | None] = mapped_column(Integer, nullable=True, index=True)
price: Mapped[int | None] = mapped_column(BigInteger, nullable=True)
currency: Mapped[str] = mapped_column(Enum(*CURRENCY_ENUM_VALUES, name="currencyenum", native_enum=False, create_constraint=False), nullable=False, default="USD")
mileage: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
country: Mapped[str] = mapped_column(Enum(*COUNTRY_ENUM_VALUES, name="countryenum", native_enum=False, create_constraint=False), nullable=False, default="NA")
is_sold: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, index=True)
color: Mapped[str] = mapped_column(String(), nullable=False, default="other")
drive: Mapped[str | None] = mapped_column(Enum(*DRIVE_ENUM_VALUES, name="driveenum", native_enum=False, create_constraint=False), nullable=True)
gearbox: Mapped[str | None] = mapped_column(Enum(*GEARBOX_ENUM_VALUES, name="gearboxenum", native_enum=False, create_constraint=False), nullable=True)
steering_wheel: Mapped[str | None] = mapped_column(Enum(*STEERING_WHEEL_ENUM_VALUES, name="steeringwheelenum", native_enum=False, create_constraint=False), nullable=True)
body_type: Mapped[str] = mapped_column(Enum(*BODY_TYPE_ENUM_VALUES, name="bodytypeenum", native_enum=False, create_constraint=False), nullable=False, default="OTHER")
engine_volume: Mapped[int | None] = mapped_column(Integer, nullable=True)
selling_type: Mapped[str] = mapped_column(Enum(*SELLING_TYPE_ENUM_VALUES, name="sellingtypeenum", native_enum=False, create_constraint=False), nullable=False, default="NA")
one_owner: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
new_car: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
is_hidden: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
origin: Mapped[str] = mapped_column(Enum(*ORIGIN_ENUM_VALUES, name="originenum", native_enum=False, create_constraint=False), nullable=False, default="NA")
origin_url: Mapped[str] = mapped_column(String(), nullable=False, index=True)
origin_id: Mapped[str] = mapped_column(String(), nullable=False, unique=True, index=True)
is_damaged: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
evaluation: Mapped[str | None] = mapped_column(String(), nullable=True)
non_smoking: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
rental: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
repair_history: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
slug: Mapped[str] = mapped_column(String(), nullable=False)
last_seen_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=func.now(), index=True)
images: Mapped[list["Image"]] = relationship("Image", back_populates="car", cascade="all, delete-orphan")
class Image(Base):
__tablename__ = "images"
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
fullres_image: Mapped[str] = mapped_column(String(), nullable=False)
preview_image: Mapped[str] = mapped_column(String(), nullable=False)
order_index: Mapped[int] = mapped_column(Integer, nullable=False)
car_id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), ForeignKey("cars.id", ondelete="CASCADE"), nullable=False, index=True)
car: Mapped[Car] = relationship("Car", back_populates="images")
class SyncRun(Base):
__tablename__ = "sync_runs"
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
started_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=func.now())
finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
status: Mapped[str] = mapped_column(Text, nullable=False, index=True)
lane: Mapped[str] = mapped_column(Text, nullable=False)
ids_fetched: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
cars_upserted: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
cars_failed: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
images_upserted: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
error_summary: Mapped[str | None] = mapped_column(Text, nullable=True)

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from datetime import datetime, timezone
from pydantic import BaseModel, ConfigDict, Field
class ImageRecord(BaseModel):
fullres_image: str
preview_image: str
order_index: int = 0
class CarRecord(BaseModel):
parser_id: str
brand: str
model: str
year: int | None = None
price: int | None = None
currency: str = "USD"
mileage: int = 0
country: str = "US"
is_sold: bool = False
color: str = "other"
drive: str | None = None
gearbox: str | None = None
steering_wheel: str | None = None
body_type: str = "OTHER"
engine_volume: int | None = None
selling_type: str = "AUCTION"
one_owner: bool = False
new_car: bool = False
is_hidden: bool = False
origin: str = "NA"
origin_url: str
origin_id: str
is_damaged: bool = False
evaluation: str | None = None
non_smoking: bool = True
rental: bool = False
repair_history: bool = False
slug: str
last_seen_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
images: list[ImageRecord] = Field(default_factory=list)
class ImageRead(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: int
fullres_image: str
preview_image: str
order_index: int = 0
class CarRead(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: int
parser_id: str
brand: str
model: str
year: int | None = None
price: int | None = None
currency: str = "USD"
mileage: int = 0
country: str = "US"
is_sold: bool = False
color: str = "other"
drive: str | None = None
gearbox: str | None = None
steering_wheel: str | None = None
body_type: str = "OTHER"
engine_volume: int | None = None
selling_type: str = "AUCTION"
one_owner: bool = False
new_car: bool = False
is_hidden: bool = False
origin: str = "NA"
origin_url: str = ""
origin_id: str = ""
is_damaged: bool = False
evaluation: str | None = None
non_smoking: bool = True
rental: bool = False
repair_history: bool = False
slug: str = ""
last_seen_at: datetime | None = None
images: list[ImageRead] = Field(default_factory=list)

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encar_scraper/worker/__init__.py Normal file
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from .celery_app import celery_app
__all__ = ["celery_app"]

71
encar_scraper/worker/celery_app.py Normal file
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# Инициализация Celery-приложения и периодических задач для Encar.
from celery import Celery
from ..core.config import settings
def _broker_url() -> str:
return settings.celery.broker_url or settings.redis.url
def _result_backend() -> str:
return settings.celery.result_backend or settings.redis.url
celery_app = Celery(
"encar_scraper",
broker=_broker_url(),
backend=_result_backend(),
)
celery_app.conf.update(
task_serializer="json",
accept_content=["json"],
result_serializer="json",
timezone="UTC",
enable_utc=True,
task_soft_time_limit=settings.celery.task_soft_time_limit,
task_time_limit=settings.celery.task_time_limit,
task_acks_late=True,
task_reject_on_worker_lost=True,
task_track_started=True,
worker_concurrency=settings.celery.worker_concurrency,
worker_max_tasks_per_child=settings.celery.worker_max_tasks_per_child,
worker_pool="prefork",
worker_prefetch_multiplier=1,
broker_connection_retry_on_startup=True,
broker_transport_options={
"visibility_timeout": settings.celery.broker_visibility_timeout,
},
result_expires=86400,
worker_hijack_root_logger=False,
beat_schedule={
"periodic-encar-sync": {
"task": "encar_scraper.worker.tasks.encar_sync_listing_task",
"schedule": settings.celery.encar_beat_interval_minutes * 60.0,
"args": (),
"kwargs": {
"car_type": "all",
},
"options": {"queue": "encar"},
},
},
task_routes={
"encar_scraper.worker.tasks.*": {"queue": "encar"},
},
)
celery_app.autodiscover_tasks(["encar_scraper.worker"])
from celery.signals import setup_logging as celery_setup_logging
@celery_setup_logging.connect
def _configure_logging(loglevel, logfile, format, colorize, **kwargs):
"""Перехватываем настройку логирования Celery, чтобы использовать свой формат."""
from ..core.logs import setup_logging
import logging
level_name = logging.getLevelName(loglevel) if isinstance(loglevel, int) else str(loglevel)
setup_logging(level=level_name, log_file=logfile)

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# Celery tasks для синхронизации автомобилей Encar.
import logging
from threading import Event, Thread
import uuid
from celery import shared_task
from redis import Redis
from ..core.config import Settings
from ..core.runtime_config import load_runtime_config
from ..encar import EncarScraper, EncarFilters, expand_allowed_brands
from ..storage.db import PersistenceService
logger = logging.getLogger("encar_scraper.worker.tasks")
ENCAR_SYNC_LOCK_KEY = "encar:locks:sync_listing"
_persistence: PersistenceService | None = None
_redis: Redis | None = None
def _sync_listing_lock_ttl_seconds() -> int:
settings = Settings()
return max(settings.celery.task_time_limit + 120, 300)
def _get_persistence() -> PersistenceService:
global _persistence
if _persistence is None:
_persistence = PersistenceService(Settings())
return _persistence
def _get_redis() -> Redis:
global _redis
if _redis is None:
settings = Settings()
_redis = Redis.from_url(
settings.redis.url,
decode_responses=True,
socket_timeout=10,
socket_connect_timeout=5,
)
return _redis
def _acquire_lock(redis_client: Redis, key: str, owner_token: str, ttl_seconds: int) -> bool:
try:
return bool(redis_client.set(key, owner_token, nx=True, ex=ttl_seconds))
except Exception as exc:
logger.warning("Failed to acquire lock %s", key, exc_info=True)
return False
_REFRESH_LOCK_SCRIPT = """
if redis.call('GET', KEYS[1]) == ARGV[1] then
return redis.call('EXPIRE', KEYS[1], tonumber(ARGV[2]))
end
return 0
"""
_RELEASE_LOCK_SCRIPT = """
if redis.call('GET', KEYS[1]) == ARGV[1] then
return redis.call('DEL', KEYS[1])
end
return 0
"""
def _refresh_lock_if_owner(redis_client: Redis, key: str, owner_token: str, ttl_seconds: int) -> bool | None:
try:
script = redis_client.register_script(_REFRESH_LOCK_SCRIPT)
refreshed = script(keys=[key], args=[owner_token, int(ttl_seconds)])
return bool(refreshed)
except Exception as exc:
logger.warning("Failed to refresh lock %s", key, exc_info=True)
return None
def _release_lock_if_owner(redis_client: Redis, key: str, owner_token: str) -> None:
try:
script = redis_client.register_script(_RELEASE_LOCK_SCRIPT)
script(keys=[key], args=[owner_token])
except Exception as exc:
logger.warning("Failed to release lock %s", key, exc_info=True)
def _start_lock_heartbeat(
redis_client: Redis,
key: str,
owner_token: str,
ttl_seconds: int,
) -> tuple[Event, Thread]:
stop_event = Event()
interval_seconds = max(5.0, min(30.0, ttl_seconds / 3))
def _heartbeat() -> None:
while not stop_event.wait(interval_seconds):
refreshed = _refresh_lock_if_owner(redis_client, key, owner_token, ttl_seconds)
if refreshed is False:
logger.warning("Lost sync_listing lock ownership for %s", owner_token)
return
thread = Thread(target=_heartbeat, name="encar-lock-heartbeat", daemon=True)
thread.start()
return stop_event, thread
@shared_task(
name="encar_scraper.worker.tasks.encar_sync_listing_task",
bind=True,
max_retries=2,
default_retry_delay=60,
acks_late=True,
)
def encar_sync_listing_task(
self,
car_type: str = "all",
manufacturer: str | None = None,
year_from: int | None = None,
year_to: int | None = None,
price_max: int | None = None,
lane: str = "encar",
limit: int | None = None,
):
"""
Полная синхронизация листинга Encar.
Собирает ВСЕ авто, обновляет цены/данные, помечает проданные.
"""
persistence = _get_persistence()
persistence.create_tables()
task_id = self.request.id or "unknown"
owner_token = f"{task_id}:{uuid.uuid4().hex}"
redis_client = _get_redis()
lock_ttl = _sync_listing_lock_ttl_seconds()
lock_acquired = _acquire_lock(redis_client, ENCAR_SYNC_LOCK_KEY, owner_token, lock_ttl)
if not lock_acquired:
logger.info("encar_sync_listing_task skipped: another sync is already running")
return {
"status": "skipped",
"reason": "sync_already_running",
"task_id": task_id,
}
heartbeat_stop: Event | None = None
heartbeat_thread: Thread | None = None
try:
heartbeat_stop, heartbeat_thread = _start_lock_heartbeat(
redis_client,
ENCAR_SYNC_LOCK_KEY,
owner_token,
lock_ttl,
)
self.update_state(state="STARTED", meta={"stage": "encar_sync_started", "task_id": task_id})
# --- Загрузка runtime_config ---
rc = load_runtime_config()
effective_limit = limit or rc.sync.limit
effective_lane = lane or rc.sync.lane or "encar"
car_type_map = {"all": "A", "domestic": "Y", "import": "N"}
filters = EncarFilters(
car_type=car_type_map.get(car_type, "A"),
manufacturer=manufacturer,
year_from=year_from,
year_to=year_to,
price_to=price_max,
)
# Набор разрешённых брендов (lowercased) из runtime_config
# Расширяем английские имена alias'ами (корейский + русский перевод)
allowed_brands = expand_allowed_brands(
set(rc.filters.brands) if rc.filters.brands else None
)
excluded_brands = expand_allowed_brands(
set(rc.filters.exclude_brands) if rc.filters.exclude_brands else None
)
scraper = EncarScraper()
result = scraper.sync_listing(
limit=effective_limit,
filters=filters,
lane=effective_lane,
redis_client=redis_client,
allowed_brands=allowed_brands,
excluded_brands=excluded_brands,
probe_all_photos=rc.sync.probe_all_photos,
)
summary = {
"task_id": task_id,
"source": "encar",
"total_available": result.get("total_available", 0),
"items_collected": result.get("items_collected", 0),
"cars_synced": result.get("cars_synced", 0),
"cars_failed": result.get("cars_failed", 0),
"cars_marked_sold": result.get("cars_marked_sold", 0),
}
logger.info(
"encar_sync_listing_task completed: %d synced, %d failed, %d marked sold",
summary["cars_synced"], summary["cars_failed"], summary["cars_marked_sold"],
)
return {"status": "success", **summary}
except Exception as exc:
logger.error("encar_sync_listing_task failed: %s", exc, exc_info=True)
raise self.retry(exc=exc)
finally:
if heartbeat_stop is not None:
heartbeat_stop.set()
if heartbeat_thread is not None:
heartbeat_thread.join(timeout=max(1.0, min(5.0, lock_ttl / 10)))
if lock_acquired:
_release_lock_if_owner(redis_client, ENCAR_SYNC_LOCK_KEY, owner_token)
@shared_task(
name="encar_scraper.worker.tasks.encar_sync_vehicle_task",
bind=True,
max_retries=2,
default_retry_delay=30,
acks_late=True,
)
def encar_sync_vehicle_task(self, vehicle_url: str, lane: str = "encar"):
"""Синхронизация одного авто Encar."""
persistence = _get_persistence()
persistence.create_tables()
try:
scraper = EncarScraper()
result = scraper.sync_vehicle(vehicle_url, lane=lane)
logger.info("encar_sync_vehicle_task completed: %s", vehicle_url)
return {
"status": "success",
"vehicle_url": vehicle_url,
"origin_id": result.get("origin_id"),
}
except Exception as exc:
logger.error("encar_sync_vehicle_task failed: %s — %s", vehicle_url, exc, exc_info=True)
raise self.retry(exc=exc)

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entrypoint.sh Normal file
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#!/bin/bash
set -euo pipefail
# Encar scraper — простой entrypoint без браузера.
# Просто запускает переданную команду.
exec "$@"

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pyproject.toml Normal file
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[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "encar-scraper"
version = "0.1.0"
description = "Encar scraper service with FastAPI, Celery and PostgreSQL"
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"alembic>=1.14.0",
"celery>=5.4.0",
"fastapi>=0.115.0",
"psycopg2-binary>=2.9.9",
"pydantic>=2.8.2",
"python-dotenv>=1.0.1",
"redis>=5.2.0",
"sqlalchemy>=2.0.32",
"uvicorn>=0.34.0",
"urllib3>=2.0.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.3.0",
"pytest-cov>=5.0.0",
]
[project.scripts]
encar = "encar_scraper.cli:main"
[tool.setuptools]
include-package-data = true
[tool.setuptools.packages.find]
include = ["encar_scraper*"]
[tool.pytest.ini_options]
addopts = "-q --disable-warnings"
python_files = ["tests/test_*.py"]
log_cli = false

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runtime_config.json Normal file
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{
"sync": {
"name": null,
"ids_initial_size": null,
"ids_next_size": null,
"ids_max_pages": null,
"condition_check_enabled": false,
"lane": "encar_cars",
"only_new": false,
"limit": null,
"probe_all_photos": true
},
"filters": {
"price": {
"min": null,
"max": null
},
"mileage": {
"min": null,
"max": null
},
"flags": {
"damaged_only": null,
"run_and_drive": null
},
"brands": [
"Acura",
"Alfa Romeo",
"Alpina",
"Aston Martin",
"Audi",
"BMW",
"BMW ALPINA",
"Bentley",
"Bugatti",
"Cadillac",
"Caterham",
"Chevrolet",
"Chrysler",
"Cupra",
"Daimler",
"Dodge",
"Ferrari",
"Ford",
"Genesis",
"Honda",
"Hummer",
"Hyundai",
"Infiniti",
"Isuzu",
"Jaguar",
"Jeep",
"Kia",
"Lamborghini",
"Land Rover",
"Lexus",
"Lincoln",
"Lotus",
"Lucid",
"Maserati",
"Maybach",
"Mazda",
"McLaren",
"Mercedes-Benz",
"Mercury",
"Mini",
"Mitsubishi",
"Nissan",
"Oldsmobile",
"Pagani",
"Plymouth",
"Pontiac",
"Porsche",
"Ram",
"Ravon",
"Rivian",
"Rolls-Royce",
"Rolls Royce",
"Rover",
"Saturn",
"Skoda",
"Smart",
"Subaru",
"Suzuki",
"Tesla",
"Toyota",
"Volkswagen",
"Volvo",
"KTM AG",
"Koenigsegg",
"Rimac"
],
"models": [],
"years": [],
"body_types": [],
"colors": [],
"drives": [],
"gearboxes": [],
"locations": [],
"exclude_brands": [],
"exclude_models": [],
"exclude_years": [],
"exclude_body_types": []
}
}

7
tests/conftest.py Normal file
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from __future__ import annotations
import logging
def pytest_configure() -> None:
logging.disable(logging.CRITICAL)

127
tests/test_db.py Normal file
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from __future__ import annotations
import tempfile
import unittest
from pathlib import Path
from sqlalchemy import select
from encar_scraper.core.config import Settings
from encar_scraper.storage.db import PersistenceService
from encar_scraper.storage.models import Car, Image, SyncRun
from encar_scraper.storage.schemas import CarRecord, ImageRecord
class TestPersistenceServiceIntegration(unittest.TestCase):
def setUp(self) -> None:
self.tmp_dir = tempfile.TemporaryDirectory()
db_path = Path(self.tmp_dir.name) / "test.sqlite"
self.settings = Settings()
self.settings.database.url = f"sqlite:///{db_path.as_posix()}"
self.settings.database.echo = False
self.persistence = PersistenceService(self.settings)
self.persistence.create_tables()
def tearDown(self) -> None:
self.persistence.engine.dispose()
self.tmp_dir.cleanup()
@staticmethod
def _record(origin_id: str, *, price: int = 1000) -> CarRecord:
return CarRecord(
parser_id=f"encar:{origin_id}",
brand="Toyota",
model="Camry",
year=2014,
price=price,
origin_url=f"https://www.encar.com/dc/dc_cardetailview.do?carid={origin_id}",
origin_id=origin_id,
slug=f"toyota-camry-{origin_id}",
images=[
ImageRecord(
fullres_image=f"https://www.encar.com/carpicture01/pic{origin_id}_001.jpg",
preview_image=f"https://www.encar.com/carpicture01/pic{origin_id}_001.jpg",
order_index=0,
)
],
)
def test_insert_update_and_skip_flow(self) -> None:
first = self._record("777", price=1000)
inserted = self.persistence.upsert_car(first)
self.assertEqual(inserted["action"], "inserted")
self.assertEqual(inserted["images_upserted"], 1)
same = self._record("777", price=1000)
updated_same = self.persistence.upsert_car(same)
self.assertEqual(updated_same["action"], "updated")
self.assertEqual(updated_same["images_upserted"], 1)
changed = self._record("777", price=1500)
updated = self.persistence.upsert_car(changed)
self.assertEqual(updated["action"], "updated")
self.assertEqual(updated["images_upserted"], 1)
with self.persistence.session_scope() as session:
cars = session.execute(select(Car)).scalars().all()
images = session.execute(select(Image)).scalars().all()
self.assertEqual(len(cars), 1)
self.assertEqual(cars[0].price, 1500)
self.assertEqual(len(images), 1)
def test_update_replaces_old_images(self) -> None:
first = self._record("888")
self.persistence.upsert_car(first)
second = self._record("888")
second.images = [
ImageRecord(
fullres_image="https://www.encar.com/carpicture01/pic888_002.jpg",
preview_image="https://www.encar.com/carpicture01/pic888_002.jpg",
order_index=0,
)
]
self.persistence.upsert_car(second)
with self.persistence.session_scope() as session:
images = session.execute(select(Image)).scalars().all()
self.assertEqual(len(images), 1)
self.assertIn("pic888_002.jpg", images[0].fullres_image)
def test_start_sync_run_marks_stale_running_runs_as_failed(self) -> None:
first_run_id = self.persistence.start_sync_run("lane-a")
second_run_id = self.persistence.start_sync_run("lane-b")
self.assertNotEqual(first_run_id, second_run_id)
with self.persistence.session_scope() as session:
first = session.get(SyncRun, first_run_id)
second = session.get(SyncRun, second_run_id)
self.assertEqual(first.status, "failed")
self.assertIsNotNone(first.finished_at)
self.assertEqual(second.status, "running")
def test_upsert_falls_back_to_origin_url_to_prevent_duplicates(self) -> None:
first = self._record("OLD-ID")
first.origin_url = "https://www.encar.com/dc/dc_cardetailview.do?carid=45089484"
self.persistence.upsert_car(first)
second = self._record("NEW-ID")
second.origin_url = "https://www.encar.com/dc/dc_cardetailview.do?carid=45089484"
result = self.persistence.upsert_car(second)
self.assertEqual(result["action"], "updated")
with self.persistence.session_scope() as session:
cars = session.execute(select(Car)).scalars().all()
self.assertEqual(len(cars), 1)
self.assertEqual(cars[0].origin_id, "NEW-ID")
if __name__ == "__main__":
unittest.main()

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import unittest
from unittest.mock import MagicMock
from encar_scraper.encar import EncarMapper, EncarScraper, ENCAR_DETAIL_URL_TEMPLATE
class TestEncarMapper(unittest.TestCase):
def test_map_to_car_record(self):
payload = {
"Id": 41421262,
"Manufacturer": "Hyundai",
"Model": "G90 (RS4)",
"FormYear": "2023",
"Price": 8590,
"Mileage": 37923,
"Photos": [
{"location": "/carpicture01/pic4141/41412663_001.jpg", "ordering": 1},
{"location": "/carpicture01/pic4141/41412663_003.jpg", "ordering": 3},
],
}
record = EncarMapper().map_to_car_record(
ENCAR_DETAIL_URL_TEMPLATE.format(vehicle_id="41421262"),
payload,
)
self.assertEqual(record.origin_id, "encar:41421262")
self.assertEqual(record.parser_id, "encar:41421262")
self.assertEqual(record.brand, "Hyundai")
self.assertEqual(record.model, "G90 (RS4)")
self.assertEqual(record.year, 2023)
self.assertEqual(record.price, 85900000) # 8590 만원 × 10000
self.assertEqual(record.mileage, 37923)
self.assertEqual(record.country, "KR")
self.assertEqual(record.currency, "KRW")
self.assertEqual(len(record.images), 2)
self.assertTrue(record.images[0].fullres_image.endswith("_001.jpg"))
def test_extract_vehicle_id_from_url(self):
url = ENCAR_DETAIL_URL_TEMPLATE.format(vehicle_id="41421262")
self.assertEqual(EncarMapper()._extract_vehicle_id(url), "41421262")
class TestEncarScraper(unittest.TestCase):
def test_collect_listing_limits_results(self):
scraper = EncarScraper()
scraper._fetch_listing_page = MagicMock(side_effect=[
{"SearchResults": [{"Id": 1}, {"Id": 2}]},
])
result = scraper.collect_listing(limit=1, page_size=2)
self.assertEqual(result["items_collected"], 1)
self.assertEqual(result["vehicle_urls"], [ENCAR_DETAIL_URL_TEMPLATE.format(vehicle_id="1")])
def test_scrape_vehicle_detail_raises_without_id(self):
scraper = EncarScraper()
with self.assertRaises(ValueError):
scraper.scrape_vehicle_detail("https://www.encar.com/invalid")
if __name__ == "__main__":
unittest.main()

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"""
Нагрузочные тесты: API endpoints, batch upsert, конкурентный доступ к БД.
Запуск:
pytest tests/test_load.py -v -s
"""
from __future__ import annotations
import concurrent.futures
import time
import random
import string
import unittest
from datetime import datetime, timezone
from fastapi.testclient import TestClient
from encar_scraper.api.app import create_app
from encar_scraper.core.config import DatabaseConfig, RedisConfig, Settings
from encar_scraper.storage.db import PersistenceService
from encar_scraper.storage.schemas import CarRecord, ImageRecord
# ── helpers ──────────────────────────────────────────────────────────────
def _sqlite_settings() -> Settings:
return Settings(
database=DatabaseConfig(url="sqlite:///test_load.db", echo=False, auto_create_tables=True),
redis=RedisConfig(url="redis://localhost:6379/15"),
)
def _make_car(idx: int, *, images: int = 3) -> CarRecord:
uid = f"load-{idx}-{''.join(random.choices(string.ascii_lowercase, k=4))}"
return CarRecord(
parser_id=uid,
brand=random.choice(["Hyundai", "Kia", "BMW", "Mercedes", "Genesis"]),
model=f"Model-{idx % 50}",
year=random.randint(2010, 2025),
price=random.randint(5_000_000, 80_000_000),
currency="KRW",
mileage=random.randint(0, 300_000),
country="KR",
origin="ENCAR",
origin_url=f"https://encar.com/cars/{uid}",
origin_id=uid,
slug=uid,
selling_type="NA",
body_type="SEDAN",
last_seen_at=datetime.now(timezone.utc),
images=[
ImageRecord(
fullres_image=f"https://ci.encar.com/photo/{uid}/{j}.jpg",
preview_image=f"https://ci.encar.com/photo/{uid}/{j}_thumb.jpg",
order_index=j,
)
for j in range(images)
],
)
# ── DB load tests ───────────────────────────────────────────────────────
class TestDatabaseLoad(unittest.TestCase):
"""Тесты производительности PersistenceService на SQLite."""
@classmethod
def setUpClass(cls):
import os
if os.path.exists("test_load.db"):
os.remove("test_load.db")
cls.settings = _sqlite_settings()
cls.persistence = PersistenceService(cls.settings)
cls.persistence.create_tables()
@classmethod
def tearDownClass(cls):
cls.persistence.engine.dispose()
import os
if os.path.exists("test_load.db"):
os.remove("test_load.db")
def test_batch_upsert_500_cars(self):
"""Пакетная вставка 500 авто с изображениями — должна пройти за <10 сек."""
records = [_make_car(i, images=5) for i in range(500)]
t0 = time.perf_counter()
result = self.persistence.upsert_cars_batch(records)
elapsed = time.perf_counter() - t0
print(f"\n[batch_upsert_500] inserted={result['inserted']}, "
f"updated={result['updated']}, images={result['images_upserted']}, "
f"time={elapsed:.2f}s")
self.assertEqual(result["inserted"], 500)
self.assertEqual(result["images_upserted"], 2500)
self.assertLess(elapsed, 10, "Batch upsert 500 cars should complete in <10s")
def test_batch_upsert_update_existing(self):
"""Повторный upsert 200 существующих записей — обновление без дублей."""
records = [_make_car(i, images=3) for i in range(10000, 10200)]
self.persistence.upsert_cars_batch(records)
# Обновляем цену и перезаписываем
for r in records:
r.price = 99_999_999
t0 = time.perf_counter()
result = self.persistence.upsert_cars_batch(records)
elapsed = time.perf_counter() - t0
print(f"\n[batch_update_200] updated={result['updated']}, time={elapsed:.2f}s")
self.assertEqual(result["updated"], 200)
self.assertLess(elapsed, 10)
def test_concurrent_upsert_batches(self):
"""3 параллельных потока по 100 upsert-ов — нет deadlock / corruption."""
def worker(thread_id: int):
batch = [_make_car(thread_id * 10000 + i) for i in range(100)]
return self.persistence.upsert_cars_batch(batch)
t0 = time.perf_counter()
with concurrent.futures.ThreadPoolExecutor(max_workers=3) as pool:
futures = [pool.submit(worker, tid) for tid in range(3)]
results = [f.result() for f in concurrent.futures.as_completed(futures)]
elapsed = time.perf_counter() - t0
total_inserted = sum(r["inserted"] for r in results)
print(f"\n[concurrent_upsert] total_inserted={total_inserted}, time={elapsed:.2f}s")
self.assertEqual(total_inserted, 300)
self.assertLess(elapsed, 30)
def test_single_upsert_throughput(self):
"""50 последовательных upsert_car — замер throughput."""
records = [_make_car(50000 + i, images=2) for i in range(50)]
t0 = time.perf_counter()
for r in records:
self.persistence.upsert_car(r)
elapsed = time.perf_counter() - t0
rps = 50 / elapsed if elapsed > 0 else 0
print(f"\n[single_upsert_50] time={elapsed:.2f}s, rps={rps:.1f}")
self.assertLess(elapsed, 15, "50 individual upserts should complete in <15s")
def test_mark_sold_large_set(self):
"""mark_sold на 300 origin_id — должен быть быстрым."""
records = [_make_car(60000 + i, images=1) for i in range(300)]
self.persistence.upsert_cars_batch(records)
active_ids = {r.origin_id for r in records[:150]}
t0 = time.perf_counter()
sold = self.persistence.mark_sold_not_in_listing(active_origin_ids=active_ids, lane="encar")
elapsed = time.perf_counter() - t0
print(f"\n[mark_sold_300] marked_sold={sold}, time={elapsed:.2f}s")
self.assertLess(elapsed, 5)
def test_sync_run_lifecycle(self):
"""start → finish sync_run 50 раз — измеряем overhead."""
t0 = time.perf_counter()
for _ in range(50):
run_id = self.persistence.start_sync_run("encar")
self.persistence.finish_sync_run(
run_id,
status="completed",
ids_fetched=1000,
cars_upserted=950,
cars_failed=50,
images_upserted=15000,
)
elapsed = time.perf_counter() - t0
print(f"\n[sync_run_lifecycle_50] time={elapsed:.2f}s")
self.assertLess(elapsed, 5)
# ── API load tests ──────────────────────────────────────────────────────
class TestAPILoad(unittest.TestCase):
"""Нагрузочные тесты на FastAPI endpoints через TestClient."""
@classmethod
def setUpClass(cls):
import os
if os.path.exists("test_api_load.db"):
os.remove("test_api_load.db")
settings = Settings(
database=DatabaseConfig(url="sqlite:///test_api_load.db", echo=False, auto_create_tables=True),
redis=RedisConfig(url="redis://localhost:6379/15"),
)
app = create_app(settings)
app.state.persistence.create_tables()
# Предзаполняем БД 200 авто
persistence: PersistenceService = app.state.persistence
persistence.upsert_cars_batch([_make_car(i, images=4) for i in range(200)])
cls.client = TestClient(app)
@classmethod
def tearDownClass(cls):
import os
if os.path.exists("test_api_load.db"):
os.remove("test_api_load.db")
def test_health_check_rapid(self):
"""100 GET /health подряд — все 200, <5 сек."""
t0 = time.perf_counter()
for _ in range(100):
r = self.client.get("/health")
self.assertEqual(r.status_code, 200)
elapsed = time.perf_counter() - t0
print(f"\n[health_100] time={elapsed:.2f}s, rps={100 / elapsed:.0f}")
self.assertLess(elapsed, 5)
def test_list_cars_paginated_rapid(self):
"""100 GET /api/v1/cars с разными страницами — все 200, <10 сек."""
t0 = time.perf_counter()
for page in range(1, 101):
r = self.client.get("/api/v1/cars", params={"page": (page % 10) + 1, "per_page": 20})
self.assertEqual(r.status_code, 200)
data = r.json()
self.assertIn("items", data)
elapsed = time.perf_counter() - t0
print(f"\n[list_cars_100] time={elapsed:.2f}s, rps={100 / elapsed:.0f}")
self.assertLess(elapsed, 10)
def test_list_cars_with_filters(self):
"""50 GET /api/v1/cars с brand/year фильтрами."""
t0 = time.perf_counter()
for i in range(50):
brand = random.choice(["Hyundai", "Kia", "BMW", "Mercedes", "Genesis"])
r = self.client.get(
"/api/v1/cars",
params={"brand": brand, "year_min": 2015, "year_max": 2023, "per_page": 50},
)
self.assertEqual(r.status_code, 200)
elapsed = time.perf_counter() - t0
print(f"\n[filtered_cars_50] time={elapsed:.2f}s, rps={50 / elapsed:.0f}")
self.assertLess(elapsed, 10)
def test_get_car_by_id_rapid(self):
"""50 GET /api/v1/cars/{id} — все 200."""
t0 = time.perf_counter()
for car_id in range(1, 51):
r = self.client.get(f"/api/v1/cars/{car_id}")
self.assertIn(r.status_code, (200, 404))
elapsed = time.perf_counter() - t0
print(f"\n[get_car_50] time={elapsed:.2f}s, rps={50 / elapsed:.0f}")
self.assertLess(elapsed, 10)
def test_stats_endpoint_rapid(self):
"""50 GET /api/v1/stats — агрегация по всей таблице."""
t0 = time.perf_counter()
for _ in range(50):
r = self.client.get("/api/v1/stats")
self.assertEqual(r.status_code, 200)
data = r.json()
self.assertGreater(data["total_cars"], 0)
elapsed = time.perf_counter() - t0
print(f"\n[stats_50] time={elapsed:.2f}s, rps={50 / elapsed:.0f}")
self.assertLess(elapsed, 10)
def test_concurrent_api_requests(self):
"""20 конкурентных запросов к разным endpoints — нет 500-х."""
def make_request(idx: int):
if idx % 3 == 0:
return self.client.get("/health")
elif idx % 3 == 1:
return self.client.get("/api/v1/cars", params={"page": 1, "per_page": 10})
else:
return self.client.get("/api/v1/stats")
t0 = time.perf_counter()
with concurrent.futures.ThreadPoolExecutor(max_workers=5) as pool:
futures = [pool.submit(make_request, i) for i in range(20)]
responses = [f.result() for f in concurrent.futures.as_completed(futures)]
elapsed = time.perf_counter() - t0
for r in responses:
self.assertNotEqual(r.status_code, 500, f"Got 500: {r.text}")
print(f"\n[concurrent_api_20] time={elapsed:.2f}s, all_ok={all(r.status_code == 200 for r in responses)}")
self.assertLess(elapsed, 10)
def test_large_page_size(self):
"""GET /api/v1/cars с per_page=100 — проверяем сериализацию больших ответов."""
t0 = time.perf_counter()
for _ in range(20):
r = self.client.get("/api/v1/cars", params={"page": 1, "per_page": 100})
self.assertEqual(r.status_code, 200)
data = r.json()
# Каждый car содержит images — проверяем что сериализация прошла
for item in data["items"]:
self.assertIn("images", item)
elapsed = time.perf_counter() - t0
print(f"\n[large_page_20] time={elapsed:.2f}s, rps={20 / elapsed:.0f}")
self.assertLess(elapsed, 10)
# ── Data integrity under load ───────────────────────────────────────────
class TestDataIntegrity(unittest.TestCase):
"""Проверка целостности данных при массовых операциях."""
@classmethod
def setUpClass(cls):
import os
if os.path.exists("test_integrity.db"):
os.remove("test_integrity.db")
cls.settings = Settings(
database=DatabaseConfig(url="sqlite:///test_integrity.db", echo=False, auto_create_tables=True),
redis=RedisConfig(url="redis://localhost:6379/15"),
)
cls.persistence = PersistenceService(cls.settings)
cls.persistence.create_tables()
@classmethod
def tearDownClass(cls):
cls.persistence.engine.dispose()
import os
if os.path.exists("test_integrity.db"):
os.remove("test_integrity.db")
def test_no_duplicates_after_repeated_upserts(self):
"""3 раза upsert одного батча — ровно N уникальных записей в БД."""
records = [_make_car(90000 + i) for i in range(100)]
for _ in range(3):
self.persistence.upsert_cars_batch(records)
from sqlalchemy import select, func
from encar_scraper.storage.models import Car
with self.persistence.session_scope() as session:
count = session.execute(
select(func.count(Car.id)).where(Car.origin_id.like("load-90%"))
).scalar()
self.assertEqual(count, 100, f"Expected 100 unique cars, got {count}")
def test_images_replaced_not_accumulated(self):
"""При upsert с новыми images — старые удаляются, а не копятся."""
rec = _make_car(80001, images=5)
self.persistence.upsert_car(rec)
# Обновляем с 2 изображениями
rec.images = [
ImageRecord(fullres_image="https://new/1.jpg", preview_image="https://new/1t.jpg", order_index=0),
ImageRecord(fullres_image="https://new/2.jpg", preview_image="https://new/2t.jpg", order_index=1),
]
self.persistence.upsert_car(rec)
from sqlalchemy import select, func
from encar_scraper.storage.models import Car, Image
with self.persistence.session_scope() as session:
car = session.execute(select(Car).where(Car.origin_id == rec.origin_id)).scalar_one()
img_count = session.execute(
select(func.count(Image.id)).where(Image.car_id == car.id)
).scalar()
self.assertEqual(img_count, 2, f"Expected 2 images after replace, got {img_count}")
def test_dedup_within_batch(self):
"""Батч с дубликатами origin_id — дедупликация работает."""
base = _make_car(70001)
dupe = _make_car(70001)
dupe.parser_id = base.parser_id
dupe.origin_id = base.origin_id
dupe.origin_url = base.origin_url
dupe.price = 12345
records = [base, dupe]
result = self.persistence.upsert_cars_batch(records)
self.assertEqual(result["inserted"] + result["updated"], 1,
"Dedup should reduce 2 records to 1")
def test_batch_1000_cars_integrity(self):
"""Вставка 1000 авто — проверяем что ВСЕ записи в БД с верными images."""
records = [_make_car(200000 + i, images=3) for i in range(1000)]
result = self.persistence.upsert_cars_batch(records)
self.assertEqual(result["inserted"], 1000)
self.assertEqual(result["images_upserted"], 3000)
from sqlalchemy import select, func
from encar_scraper.storage.models import Car, Image
with self.persistence.session_scope() as session:
car_count = session.execute(
select(func.count(Car.id)).where(Car.origin_id.like("load-20____-%"))
).scalar()
img_count = session.execute(
select(func.count(Image.id)).where(
Image.car_id.in_(
select(Car.id).where(Car.origin_id.like("load-20____-%"))
)
)
).scalar()
self.assertEqual(car_count, 1000)
self.assertEqual(img_count, 3000)
if __name__ == "__main__":
unittest.main()

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from __future__ import annotations
import unittest
from encar_scraper.core.utils import deep_find_key
class TestDeepFindKey(unittest.TestCase):
def test_finds_key_in_nested_structure(self) -> None:
payload = {
"root": {
"target": "a",
"nested": [{"target": "b"}, {"x": 1}],
}
}
found = deep_find_key(payload, {"target"})
self.assertEqual(found, ["a", "b"])
def test_respects_max_depth(self) -> None:
payload = {"l1": {"l2": {"l3": {"target": "value"}}}}
found_too_shallow = deep_find_key(payload, {"target"}, max_depth=2)
found_enough_depth = deep_find_key(payload, {"target"}, max_depth=8)
self.assertEqual(found_too_shallow, [])
self.assertEqual(found_enough_depth, ["value"])
if __name__ == "__main__":
unittest.main()

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from __future__ import annotations
import unittest
from unittest.mock import MagicMock, patch
from encar_scraper.worker import tasks
class TestWorkerTaskLockHelpers(unittest.TestCase):
def test_acquire_lock_returns_true_on_success(self) -> None:
redis_client = MagicMock()
redis_client.set.return_value = True
acquired = tasks._acquire_lock(redis_client, "lock:key", "owner-token", 120)
self.assertTrue(acquired)
redis_client.set.assert_called_once_with("lock:key", "owner-token", nx=True, ex=120)
def test_refresh_lock_if_owner_extends_ttl(self) -> None:
redis_client = MagicMock()
mock_script = MagicMock(return_value=1)
redis_client.register_script.return_value = mock_script
refreshed = tasks._refresh_lock_if_owner(redis_client, "lock:key", "owner-token", 120)
self.assertTrue(refreshed)
redis_client.register_script.assert_called_once()
mock_script.assert_called_once_with(keys=["lock:key"], args=["owner-token", 120])
def test_release_lock_if_owner_uses_owner_token(self) -> None:
redis_client = MagicMock()
mock_script = MagicMock(return_value=1)
redis_client.register_script.return_value = mock_script
tasks._release_lock_if_owner(redis_client, "lock:key", "owner-token")
redis_client.register_script.assert_called_once()
mock_script.assert_called_once_with(keys=["lock:key"], args=["owner-token"])
def test_encar_sync_listing_task_skips_when_lock_not_acquired(self) -> None:
with patch.object(tasks, "_get_persistence") as get_persistence, \
patch.object(tasks, "_get_redis") as get_redis, \
patch.object(tasks, "_acquire_lock", return_value=False):
persistence = MagicMock()
get_persistence.return_value = persistence
get_redis.return_value = MagicMock()
tasks.encar_sync_listing_task.push_request(id="task-123")
try:
result = tasks.encar_sync_listing_task.run()
finally:
tasks.encar_sync_listing_task.pop_request()
persistence.create_tables.assert_called_once()
self.assertEqual(result["status"], "skipped")
self.assertEqual(result["reason"], "sync_already_running")
def test_encar_sync_listing_task_releases_owned_lock(self) -> None:
mock_scraper_instance = MagicMock()
mock_scraper_instance.sync_listing.return_value = {
"total_available": 100,
"items_collected": 10,
"cars_synced": 8,
"cars_failed": 2,
}
with patch.object(tasks, "_get_persistence") as get_persistence, \
patch.object(tasks, "_get_redis") as get_redis, \
patch.object(tasks, "_acquire_lock", return_value=True), \
patch.object(tasks, "_start_lock_heartbeat") as start_heartbeat, \
patch.object(tasks, "_release_lock_if_owner") as release_lock, \
patch("encar_scraper.worker.tasks.EncarScraper", return_value=mock_scraper_instance):
persistence = MagicMock()
get_persistence.return_value = persistence
redis_client = MagicMock()
get_redis.return_value = redis_client
stop_event = MagicMock()
heartbeat_thread = MagicMock()
start_heartbeat.return_value = (stop_event, heartbeat_thread)
tasks.encar_sync_listing_task.push_request(id="task-123")
try:
with patch.object(tasks.encar_sync_listing_task, "update_state"):
result = tasks.encar_sync_listing_task.run(car_type="all")
finally:
tasks.encar_sync_listing_task.pop_request()
self.assertEqual(result["status"], "success")
stop_event.set.assert_called_once()
heartbeat_thread.join.assert_called_once()
release_lock.assert_called_once()
if __name__ == "__main__":
unittest.main()

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View File

@@ -0,0 +1,968 @@
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