13 Commits

Author SHA1 Message Date
qananasikq
3299f8f372 Add tools 2026-04-27 20:47:44 +03:00
qananasikq
9f215dc70a Update parser 2026-04-27 20:47:44 +03:00
qananasikq
d937aa2386 Add worker fast sync module 2026-04-27 13:09:45 +03:00
qananasikq
1168ed8d4f Harden fast sync progress logging 2026-04-27 13:09:41 +03:00
qananasikq
993f692254 Fix self heal stale progress cleanup 2026-04-27 13:09:34 +03:00
qananasikq
331d8d350e fix: beat schedule should use only_new=False for full scans 2026-04-25 14:55:36 +03:00
qananasikq
f8206615a9 add vps check 2026-04-24 18:36:58 +03:00
qananasikq
31f87a9bdf update parser 2026-04-24 18:36:31 +03:00
qananasikq
1453eee83b update sync 2026-04-24 18:00:09 +03:00
8c441b2aec Fixed proxies 2026-04-24 13:43:30 +03:00
qananasikq
fc1bea562a fast parser 2026-04-24 12:39:05 +03:00
3a3222c7dc Fixed queue name 2026-04-23 23:30:07 +03:00
11b0db5560 Merge pull request 'feat: Prepared for production' (#1) from prod-preparation into main
Reviewed-on: #1
2026-04-23 22:25:06 +02:00
28 changed files with 3738 additions and 74 deletions

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@@ -6,7 +6,9 @@ IAAI_MAX_CAPTURED_REQUESTS=40
IAAI_MAX_CAPTURED_JSON_RESPONSES=20
IAAI_CARS_LISTING_URL=https://www.iaai.com/Vehiclelisting/Cars
IAAI_LISTING_SEGMENTS=auto
IAAI_FILTERED_SEARCH_URL=
IAAI_FILTERED_SEARCH_URLS=
IAAI_LISTING_SEGMENTS=runtime
IAAI_MAX_PAGES_PER_RUN=999999
IAAI_MAX_VEHICLES_PER_RUN=999999
IAAI_PAGE_LINK_LIMIT=999999

2
.gitignore vendored
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@@ -20,3 +20,5 @@ artifacts/
celerybeat-schedule*
tokens_data/
tokens.json
iaai_deploy.tar.gz
.tmp_iaai_fast_ref/

37
check_vps.py Normal file
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@@ -0,0 +1,37 @@
from __future__ import annotations
import os
import paramiko
HOST = "2.26.123.84"
USER = "root"
PASSWORD = os.environ["VPS_PASSWORD"]
cmds = [
"cd /root/iaai-parser && docker compose ps",
"docker logs --since 3m iaai-parser-worker-1 2>&1 | tail -n 120",
"docker exec -i iaai-postgres psql -U iaai -d iaai_scraper -c \"SELECT now() AS ts, count(*) AS cars FROM iaai_cars; SELECT count(*) AS runs FROM iaai_sync_runs;\"",
]
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
client.connect(
HOST,
username=USER,
password=PASSWORD,
look_for_keys=False,
allow_agent=False,
timeout=30,
banner_timeout=30,
auth_timeout=30,
)
try:
for cmd in cmds:
print(f"REMOTE_RUN {cmd}", flush=True)
stdin, stdout, stderr = client.exec_command(cmd, timeout=120)
code = stdout.channel.recv_exit_status()
print(stdout.read().decode("utf-8", "replace"), end="")
print(stderr.read().decode("utf-8", "replace"), end="")
print(f"EXIT {code}", flush=True)
finally:
client.close()

41
clean_vps_db.py Normal file
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@@ -0,0 +1,41 @@
from __future__ import annotations
import os
import paramiko
HOST = "2.26.123.84"
USER = "root"
PASSWORD = os.environ["VPS_PASSWORD"]
commands = [
"cd /root/iaai-parser && docker exec -i iaai-postgres psql -U iaai -d iaai_scraper -c 'TRUNCATE TABLE iaai_images, iaai_cars, iaai_sync_runs RESTART IDENTITY CASCADE;'",
"docker exec -i iaai-redis redis-cli FLUSHALL",
"docker exec -i iaai-postgres psql -U iaai -d iaai_scraper -c 'SELECT count(*) AS cars FROM iaai_cars; SELECT count(*) AS runs FROM iaai_sync_runs;'",
"cd /root/iaai-parser && docker compose ps",
"docker logs --since 2m iaai-parser-worker-1 2>&1 | tail -n 100",
]
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
client.connect(
HOST,
username=USER,
password=PASSWORD,
look_for_keys=False,
allow_agent=False,
timeout=30,
banner_timeout=30,
auth_timeout=30,
)
try:
for command in commands:
print(f"REMOTE_RUN {command}", flush=True)
stdin, stdout, stderr = client.exec_command(command, timeout=180)
exit_code = stdout.channel.recv_exit_status()
print(stdout.read().decode("utf-8", "replace"), end="")
print(stderr.read().decode("utf-8", "replace"), end="")
print(f"EXIT {exit_code}", flush=True)
if exit_code != 0:
raise SystemExit(exit_code)
finally:
client.close()

135
deploy_vps.py Normal file
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@@ -0,0 +1,135 @@
from __future__ import annotations
import os
import posixpath
import stat
import tarfile
import time
import socket
from pathlib import Path
import paramiko
HOST = "2.26.123.84"
USER = "root"
PASSWORD = os.environ["VPS_PASSWORD"]
LOCAL_ROOT = Path(__file__).resolve().parent
ARCHIVE = LOCAL_ROOT / "iaai_deploy.tar.gz"
REMOTE_DIR = "/root/iaai-parser"
REMOTE_ARCHIVE = "/root/iaai_deploy.tar.gz"
EXCLUDE_DIRS = {
".git",
".venv",
"__pycache__",
".pytest_cache",
".mypy_cache",
".ruff_cache",
"iaai_scraper.egg-info",
}
EXCLUDE_FILES = {"iaai_deploy.tar.gz", "deploy_vps.py"}
def _include(path: Path) -> bool:
rel = path.relative_to(LOCAL_ROOT)
parts = set(rel.parts)
if parts & EXCLUDE_DIRS:
return False
if path.name in EXCLUDE_FILES:
return False
if path.suffix in {".pyc", ".pyo"}:
return False
return True
def make_archive() -> None:
if ARCHIVE.exists():
ARCHIVE.unlink()
with tarfile.open(ARCHIVE, "w:gz") as tf:
for path in LOCAL_ROOT.rglob("*"):
if not _include(path):
continue
tf.add(path, arcname=str(path.relative_to(LOCAL_ROOT)))
print(f"ARCHIVE_READY {ARCHIVE} {ARCHIVE.stat().st_size} bytes", flush=True)
def connect() -> paramiko.SSHClient:
last_exc: BaseException | None = None
for attempt in range(1, 6):
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
try:
print(f"SSH_CONNECT attempt={attempt}", flush=True)
client.connect(
HOST,
username=USER,
password=PASSWORD,
look_for_keys=False,
allow_agent=False,
timeout=45,
banner_timeout=60,
auth_timeout=45,
)
return client
except (paramiko.SSHException, socket.timeout, OSError) as exc:
last_exc = exc
client.close()
print(f"SSH_CONNECT_RETRY attempt={attempt} error={type(exc).__name__}: {exc}", flush=True)
time.sleep(3 * attempt)
raise SystemExit(f"SSH_CONNECT_FAILED: {last_exc}")
def run(client: paramiko.SSHClient, cmd: str, timeout: int | None = None) -> None:
print(f"REMOTE_RUN {cmd}", flush=True)
stdin, stdout, stderr = client.exec_command(cmd, timeout=timeout)
exit_code = stdout.channel.recv_exit_status()
out = stdout.read().decode("utf-8", "replace")
err = stderr.read().decode("utf-8", "replace")
if out:
print(out, end="", flush=True)
if err:
print(err, end="", flush=True)
if exit_code != 0:
raise SystemExit(f"REMOTE_FAILED code={exit_code}: {cmd}")
def upload_file(sftp: paramiko.SFTPClient, local: Path, remote: str) -> None:
total = local.stat().st_size
last = 0.0
def cb(done: int, _total: int) -> None:
nonlocal last
now = time.time()
if now - last >= 2 or done == total:
print(f"UPLOAD {done}/{total}", flush=True)
last = now
sftp.put(str(local), remote, callback=cb)
def main() -> None:
make_archive()
client = connect()
try:
run(client, "echo VPS_OK && hostname && docker --version && docker compose version")
sftp = client.open_sftp()
try:
upload_file(sftp, ARCHIVE, REMOTE_ARCHIVE)
finally:
sftp.close()
run(
client,
f"mkdir -p {REMOTE_DIR} && cd {REMOTE_DIR} && docker compose down || true && "
f"find {REMOTE_DIR} -mindepth 1 -maxdepth 1 ! -name '.env' -exec rm -rf {{}} + && "
f"tar -xzf {REMOTE_ARCHIVE} -C {REMOTE_DIR} && rm -f {REMOTE_ARCHIVE}",
timeout=300,
)
run(client, f"cd {REMOTE_DIR} && docker compose up -d --build", timeout=1800)
run(client, f"cd {REMOTE_DIR} && docker compose ps", timeout=120)
run(client, "docker logs --since 2m iaai-parser-worker-1 2>&1 | tail -n 120 || docker compose -f /root/iaai-parser/docker-compose.yml logs --since 2m worker | tail -n 120", timeout=120)
finally:
client.close()
if __name__ == "__main__":
main()

View File

@@ -5,22 +5,42 @@ x-app-env: &app-env
CELERY_BROKER_URL: ${CELERY_BROKER_URL:-redis://redis:6379/0}
CELERY_RESULT_BACKEND: ${CELERY_RESULT_BACKEND:-redis://redis:6379/0}
IAAI_DATABASE_POOL_RECYCLE_SECONDS: ${IAAI_DATABASE_POOL_RECYCLE_SECONDS:-1800}
CELERY_TASK_SOFT_TIME_LIMIT: ${CELERY_TASK_SOFT_TIME_LIMIT:-900}
CELERY_TASK_TIME_LIMIT: ${CELERY_TASK_TIME_LIMIT:-1200}
CELERY_BROKER_VISIBILITY_TIMEOUT: ${CELERY_BROKER_VISIBILITY_TIMEOUT:-2400}
# Для больших Search-выборок (десятки тысяч лотов) run должен жить дольше одного батча.
CELERY_TASK_SOFT_TIME_LIMIT: ${CELERY_TASK_SOFT_TIME_LIMIT:-7200}
CELERY_TASK_TIME_LIMIT: ${CELERY_TASK_TIME_LIMIT:-7500}
CELERY_BROKER_VISIBILITY_TIMEOUT: ${CELERY_BROKER_VISIBILITY_TIMEOUT:-10800}
# 0 = без лимита.
CELERY_BEAT_SYNC_LIMIT: ${CELERY_BEAT_SYNC_LIMIT:-0}
# Следующий плановый прогон — не раньше чем через час после предыдущего tick beat.
CELERY_BEAT_SYNC_INTERVAL_MINUTES: ${CELERY_BEAT_SYNC_INTERVAL_MINUTES:-60}
# Любой внутренний follow-up после неполного bootstrap тоже не стартует сразу.
IAAI_SYNC_FOLLOWUP_MIN_DELAY_SECONDS: ${IAAI_SYNC_FOLLOWUP_MIN_DELAY_SECONDS:-3600}
CELERY_WORKER_MAX_TASKS_PER_CHILD: ${CELERY_WORKER_MAX_TASKS_PER_CHILD:-5}
CELERY_BATCH_SIZE: ${CELERY_BATCH_SIZE:-200}
CELERY_BATCH_SIZE: ${CELERY_BATCH_SIZE:-1500}
IAAI_INTER_BATCH_DELAY_SECONDS: ${IAAI_INTER_BATCH_DELAY_SECONDS:-0.3}
# Стабильный fast-профиль: не душим IAAI слишком большим числом HTTPS detail-соединений.
IAAI_SCRAPING_PROFILE: fast
IAAI_FETCH_CONCURRENCY: ${IAAI_FETCH_CONCURRENCY:-96}
IAAI_MAX_RETRIES: ${IAAI_MAX_RETRIES:-2}
IAAI_RETRY_DELAY_SECONDS: ${IAAI_RETRY_DELAY_SECONDS:-0.35}
IAAI_CHALLENGE_REFRESH_ATTEMPTS: ${IAAI_CHALLENGE_REFRESH_ATTEMPTS:-1}
CELERY_PARALLEL_SEGMENTS: ${CELERY_PARALLEL_SEGMENTS:-false}
CELERY_WORKER_CONCURRENCY: 4
CELERY_WORKER_POOL: ${CELERY_WORKER_POOL:-prefork}
IAAI_FAIL_RATE_THRESHOLD: ${IAAI_FAIL_RATE_THRESHOLD:-0.9}
IAAI_PARALLEL_TABS: ${IAAI_PARALLEL_TABS:-8}
IAAI_BLOCK_RESOURCES: ${IAAI_BLOCK_RESOURCES:-true}
IAAI_LISTING_SEGMENTS: ${IAAI_LISTING_SEGMENTS:-auto}
IAAI_FAST_PATH_TIMEOUT_MS: ${IAAI_FAST_PATH_TIMEOUT_MS:-10000}
IAAI_LISTING_SEGMENTS: ${IAAI_LISTING_SEGMENTS:-[]}
IAAI_DISCOVERY_MODE: ${IAAI_DISCOVERY_MODE:-listing}
IAAI_HOURLY_MODE: ${IAAI_HOURLY_MODE:-rolling_refresh}
IAAI_HOURLY_REFRESH_BATCH_SIZE: ${IAAI_HOURLY_REFRESH_BATCH_SIZE:-500}
IAAI_MAX_PAGES_PER_RUN: ${IAAI_MAX_PAGES_PER_RUN:-9999}
IAAI_MAX_VEHICLES_PER_RUN: ${IAAI_MAX_VEHICLES_PER_RUN:-50000}
IAAI_ALWAYS_FULL_SCAN: ${IAAI_ALWAYS_FULL_SCAN:-true}
IAAI_HUMAN_PACE_ENABLED: ${IAAI_HUMAN_PACE_ENABLED:-true}
IAAI_ALWAYS_FULL_SCAN: ${IAAI_ALWAYS_FULL_SCAN:-false}
IAAI_HUMAN_PACE_ENABLED: ${IAAI_HUMAN_PACE_ENABLED:-false}
# Первый sync после clean restart стартует сразу; следующий запуск — только через hourly guard/beat.
IAAI_STARTUP_SYNC_ENABLED: ${IAAI_STARTUP_SYNC_ENABLED:-true}
IAAI_TOKENS_FILE: ${IAAI_TOKENS_FILE:-/data/tokens.json}
IAAI_RUNTIME_CONFIG_FILE: ${IAAI_RUNTIME_CONFIG_FILE:-/app/runtime_config.json}
IAAI_BROWSER_ENGINE: chromium
@@ -149,9 +169,11 @@ services:
stop_grace_period: 60s
command: >
celery -A iaai_scraper.worker.celery_app worker
--loglevel=info --concurrency=1 --pool=solo
--loglevel=info
--concurrency=${CELERY_WORKER_CONCURRENCY:-4}
--pool=${CELERY_WORKER_POOL:-prefork}
--pidfile=/tmp/celery-worker.pid
-Q scraping --max-tasks-per-child=${CELERY_WORKER_MAX_TASKS_PER_CHILD:-5}
-Q iaai_sync --max-tasks-per-child=${CELERY_WORKER_MAX_TASKS_PER_CHILD:-5}
healthcheck:
# Проверка worker.
test: ["CMD-SHELL", "test -f /tmp/celery-worker.pid && kill -0 $(cat /tmp/celery-worker.pid) && pgrep -f 'iaai_scraper.worker.self_heal' >/dev/null"]

View File

@@ -7,7 +7,7 @@ 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.celery_app import IAAI_SYNC_QUEUE, celery_app
from ...worker.tasks import sync_vehicle_task, sync_listing_task
router = APIRouter()
@@ -33,7 +33,7 @@ def start_sync_vehicle(
# Запустить задачу скрапинга одного автомобиля через Celery
result = sync_vehicle_task.apply_async(
kwargs={"vehicle_url": body.vehicle_url, "lane": body.lane},
queue="scraping",
queue=IAAI_SYNC_QUEUE,
)
return {
@@ -56,7 +56,7 @@ def start_sync_listing(
"limit": body.limit,
"only_new": body.only_new,
},
queue="scraping",
queue=IAAI_SYNC_QUEUE,
)
return {

View File

@@ -0,0 +1,873 @@
from __future__ import annotations
import html
import json
import logging
import math
import re
import threading
import time
from dataclasses import dataclass
from typing import Any, Iterator
from urllib.parse import quote, urljoin
import requests
from requests.adapters import HTTPAdapter
from ..core.config import Settings
logger = logging.getLogger("iaai_scraper.fast_client")
TRANSIENT_HTTP_CODES = {408, 425, 429, 500, 502, 503, 504}
CHALLENGE_MARKERS = (
"_incapsula_resource",
"incapsula",
"incident id",
"request unsuccessful",
"access denied",
)
COOKIE_ACCEPT_SELECTORS = (
"button:has-text('Accept All')",
"button:has-text('Accept all')",
"button:has-text('I Agree')",
"button:has-text('Agree')",
"button:has-text('Only necessary')",
"button:has-text('Только необходимые')",
"button:has-text('Принять все')",
"[id*='accept']",
"[class*='accept']",
)
LISTING_MARKER = 'id="GBPSearchQuery"'
DETAIL_MARKER = 'id="ProductDetailsVM"'
RESIZER_URL = "https://vis.iaai.com/resizer"
BRAND_SCOPE_OVERRIDES = {
# IAAI does not resolve every rare make through /Vehiclelisting/Cars/{make}.
# CUPRA is available through a saved Search scope URL from the site UI.
"CUPRA": "/Search?url=Ck7mLZr7Vc2sWBshBCBOx9WhRn%2fOPJoWOhUHRQ7JNhQ%3d",
}
DEFAULT_USER_AGENT = (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/124.0.0.0 Safari/537.36"
)
PLAYWRIGHT_REFRESH_POLLS = 8
@dataclass(frozen=True)
class FastListingVehicle:
inventory_id: str
tenant: str | None
auction_id: str | None
auction_date: str | None
inventory_status: str | None
currency: str | None
timed_auction_closed: bool
timed_auction_indicator: bool
prebid_indicator: bool
buynow_indicator: bool
@dataclass(frozen=True)
class FastListingPage:
vehicles: list[FastListingVehicle]
result_count: int
page_size: int
current_page: int
gbp_search_query: dict[str, Any]
class HybridSessionAuth:
"""Requests session with Playwright cookie refresh fallback.
Fast path is direct HTTP. Playwright is used only to obtain/refresh anti-bot
cookies when IAAI returns a challenge or an expected hidden payload is absent.
"""
def __init__(self, settings: Settings) -> None:
self._settings = settings
self._thread_local = threading.local()
self._lock = threading.Lock()
self._refresh_lock = threading.Lock()
self._bootstrap_cookies_loaded = False
self._anonymous_bootstrap_attempted = False
self._refresh_generation = 0
self._latest_refresh_cookies: list[dict[str, Any]] = []
def request(
self,
method: str,
url: str,
*,
timeout: int,
retries: int,
retry_backoff_ms: int,
headers: dict[str, str] | None = None,
data: Any | None = None,
json_body: Any | None = None,
expected_marker: str | None = None,
) -> requests.Response:
session = self._get_session()
self._ensure_anonymous_session_bootstrap(session=session)
self._sync_session_with_latest_refresh(session)
last_error: Exception | None = None
refresh_attempts = 0
attempt = 0
max_refresh_attempts = max(0, int(self._settings.scraping_profile.challenge_refresh_attempts))
while attempt <= retries:
try:
request_started_at = time.perf_counter()
if self._settings.scraping_profile.verbose_http_logs:
logger.debug(
"HTTP request started method=%s url=%s attempt=%s/%s timeout=%s marker=%s",
method,
url,
attempt + 1,
retries + 1,
timeout,
expected_marker,
)
response = session.request(
method=method,
url=url,
headers=headers,
data=data,
json=json_body,
timeout=(min(10, max(1, timeout)), max(1, timeout)),
)
if self._settings.scraping_profile.verbose_http_logs or response.status_code >= 400:
logger.debug(
"HTTP request completed method=%s url=%s status=%s elapsed=%.1fs marker=%s",
method,
url,
response.status_code,
time.perf_counter() - request_started_at,
expected_marker,
)
except requests.RequestException as exc:
last_error = exc
if attempt >= retries:
break
self._sleep_backoff(retry_backoff_ms, attempt)
attempt += 1
continue
if response.status_code in TRANSIENT_HTTP_CODES and attempt < retries:
response.close()
self._sleep_backoff(retry_backoff_ms, attempt)
attempt += 1
continue
if is_challenge_response(
status_code=response.status_code,
body_text=response.text,
expected_marker=expected_marker,
):
response.close()
if not self._settings.scraping_profile.challenge_refresh_enabled or refresh_attempts >= max_refresh_attempts:
raise RuntimeError(
"IAAI challenge persisted after "
f"{refresh_attempts} Playwright refresh attempts for url={url}"
)
refresh_attempts += 1
logger.info(
"Challenge detected for url=%s status=%s marker=%s refresh_attempt=%s/%s",
url,
response.status_code,
expected_marker,
refresh_attempts,
max_refresh_attempts,
)
self._refresh_session_via_playwright(expected_marker=LISTING_MARKER, session=session)
logger.info("Retrying HTTP request after Playwright refresh url=%s", url)
if refresh_attempts > 1:
self._sleep_backoff(retry_backoff_ms, refresh_attempts - 1)
continue
return response
if last_error is not None:
raise RuntimeError(f"Request failed url={url}: {last_error}") from last_error
raise RuntimeError(f"Request failed url={url} after retries")
def persist_storage_state(self) -> None:
session = self._get_session()
with self._lock:
self._save_storage_state(session)
def _get_session(self) -> requests.Session:
session = getattr(self._thread_local, "session", None)
if session is None:
session = requests.Session()
pool_size = max(20, int(self._settings.fetch_concurrency) * 2)
adapter = HTTPAdapter(pool_connections=pool_size, pool_maxsize=pool_size)
session.mount("http://", adapter)
session.mount("https://", adapter)
session.headers.update(
{
"user-agent": DEFAULT_USER_AGENT,
"accept-language": "en-US,en;q=0.9",
"cache-control": "no-cache",
"pragma": "no-cache",
}
)
if self._settings.proxy.enabled:
proxies = self._settings.proxy.to_requests_proxies()
if proxies:
session.proxies.update(proxies)
with self._lock:
self._bootstrap_session_cookies(session)
self._thread_local.session = session
self._thread_local.session_generation = 0
self._sync_session_with_latest_refresh(session)
return session
def _sync_session_with_latest_refresh(self, session: requests.Session) -> None:
with self._lock:
latest_generation = self._refresh_generation
session_generation = getattr(self._thread_local, "session_generation", 0)
if latest_generation <= session_generation or not self._latest_refresh_cookies:
return
cookies = list(self._latest_refresh_cookies)
self._apply_cookies_to_session(session, cookies)
self._thread_local.session_generation = latest_generation
def _ensure_anonymous_session_bootstrap(self, *, session: requests.Session) -> None:
if self._anonymous_bootstrap_attempted or not self._settings.scraping_profile.anonymous_bootstrap_enabled:
return
if self._session_has_iaai_cookies(session):
self._anonymous_bootstrap_attempted = True
return
with self._lock:
if self._anonymous_bootstrap_attempted:
return
self._anonymous_bootstrap_attempted = True
logger.info("No IAAI cookies preloaded. Attempting anonymous session bootstrap via Playwright.")
try:
self._refresh_session_via_playwright(expected_marker=LISTING_MARKER, session=session)
except Exception as exc:
logger.warning("Anonymous session bootstrap via Playwright failed; continuing with direct HTTP flow: %s", exc)
@staticmethod
def _session_has_iaai_cookies(session: requests.Session) -> bool:
for item in session.cookies:
domain = str(getattr(item, "domain", "") or "")
if not domain or "iaai.com" in domain.lower():
return True
return False
def _bootstrap_session_cookies(self, session: requests.Session) -> None:
if self._bootstrap_cookies_loaded:
return
self._load_storage_state_cookies(session)
self._bootstrap_cookies_loaded = True
def _load_storage_state_cookies(self, session: requests.Session) -> None:
tokens_file = self._settings.tokens_file
if not tokens_file:
return
path = __import__("pathlib").Path(tokens_file)
if not path.exists():
return
try:
payload = json.loads(path.read_text(encoding="utf-8"))
except Exception as exc:
logger.warning("Failed to read storage state file '%s': %s", path, exc)
return
cookies = payload.get("cookies") if isinstance(payload, dict) else None
if not isinstance(cookies, list):
return
applied = 0
for item in cookies:
if not isinstance(item, dict):
continue
name = parse_text(item.get("name"))
value = parse_text(item.get("value"))
if not name or value is None:
continue
domain = parse_text(item.get("domain")) or ".iaai.com"
cookie_path = parse_text(item.get("path")) or "/"
expires = parse_int(item.get("expires"))
session.cookies.set(name, value, domain=domain, path=cookie_path, expires=expires)
applied += 1
if applied:
logger.info("Loaded %s cookies from storage state", applied)
def _refresh_session_via_playwright(
self,
*,
expected_marker: str | None = None,
session: requests.Session | None = None,
) -> None:
target_session = session or self._get_session()
with self._lock:
baseline_generation = self._refresh_generation
with self._refresh_lock:
with self._lock:
if self._refresh_generation > baseline_generation and self._latest_refresh_cookies:
self._apply_cookies_to_session(target_session, self._latest_refresh_cookies)
self._thread_local.session_generation = self._refresh_generation
return
logger.info("IAAI session challenge detected. Refreshing session via Playwright.")
cookies = self._fetch_cookies_via_playwright(expected_marker=expected_marker)
logger.info("Playwright refresh returned %d cookies", len(cookies))
self._apply_cookies_to_session(target_session, cookies)
logger.info("Playwright cookies applied to requests session")
with self._lock:
self._refresh_generation += 1
self._latest_refresh_cookies = list(cookies)
self._anonymous_bootstrap_attempted = True
refreshed_generation = self._refresh_generation
self._thread_local.session_generation = refreshed_generation
logger.info("Playwright refresh completed generation=%s", refreshed_generation)
def _fetch_cookies_via_playwright(self, *, expected_marker: str | None = None) -> list[dict[str, Any]]:
from playwright.sync_api import TimeoutError as PlaywrightTimeoutError
from playwright.sync_api import sync_playwright
with sync_playwright() as playwright:
browser = playwright.chromium.launch(headless=self._settings.headless)
try:
context = browser.new_context(
locale=self._settings.fingerprint.locale,
viewport={"width": 1366, "height": 768},
user_agent=DEFAULT_USER_AGENT,
proxy=self._settings.proxy.to_playwright_dict(),
)
page = context.new_page()
home_target = self._settings.home_url
filtered_urls = self._settings.listing.filtered_search_urls
target = filtered_urls[0] if filtered_urls else urljoin(self._settings.home_url, "Vehiclelisting/Cars")
timeout_ms = max(30_000, self._settings.default_timeout_ms)
logger.info("Playwright session refresh opening target=%s marker=%s", target, expected_marker or LISTING_MARKER)
page.goto(home_target, wait_until="domcontentloaded", timeout=timeout_ms)
self._accept_cookie_banner(page)
page.goto(target, wait_until="domcontentloaded", timeout=timeout_ms)
self._accept_cookie_banner(page)
self._wait_until_non_challenge(
page=page,
target=target,
timeout_ms=timeout_ms,
expected_marker=expected_marker or LISTING_MARKER,
)
cookies = context.cookies()
logger.info("Playwright context returned %d cookies", len(cookies))
except PlaywrightTimeoutError as exc:
raise RuntimeError(f"Playwright refresh timed out: {exc}") from exc
finally:
try:
browser.close()
except Exception as exc:
logger.info("Playwright browser close failed after cookie refresh: %s", exc)
if not isinstance(cookies, list) or not cookies:
raise RuntimeError("Playwright refresh did not return cookies")
return [cookie for cookie in cookies if isinstance(cookie, dict)]
@staticmethod
def _apply_cookies_to_session(session: requests.Session, cookies: list[dict[str, Any]]) -> None:
session.cookies.clear()
for cookie in cookies:
name = parse_text(cookie.get("name"))
value = parse_text(cookie.get("value"))
if not name or value is None:
continue
domain = parse_text(cookie.get("domain")) or ".iaai.com"
cookie_path = parse_text(cookie.get("path")) or "/"
expires = parse_int(cookie.get("expires"))
session.cookies.set(name, value, domain=domain, path=cookie_path, expires=expires)
@staticmethod
def _wait_until_non_challenge(*, page: Any, target: str, timeout_ms: int, expected_marker: str | None) -> None:
poll_ms = max(1000, min(5000, timeout_ms // PLAYWRIGHT_REFRESH_POLLS))
navigation_error_count = 0
for poll_index in range(PLAYWRIGHT_REFRESH_POLLS):
try:
page.wait_for_load_state("domcontentloaded", timeout=poll_ms)
except Exception:
pass
page.wait_for_timeout(poll_ms)
body: str | None = None
for _ in range(3):
try:
body = page.content()
break
except Exception as exc:
message = str(exc).lower()
if "page.content" not in message or "navigating and changing the content" not in message:
raise
navigation_error_count += 1
page.wait_for_timeout(max(200, poll_ms // 4))
if body is not None and not is_challenge_response(
status_code=200,
body_text=body,
expected_marker=expected_marker,
):
logger.info(
"Playwright session refresh passed challenge target=%s poll=%s/%s marker=%s",
target,
poll_index + 1,
PLAYWRIGHT_REFRESH_POLLS,
expected_marker,
)
return
try:
logger.info(
"Playwright session refresh still waiting target=%s poll=%s/%s marker=%s",
target,
poll_index + 1,
PLAYWRIGHT_REFRESH_POLLS,
expected_marker,
)
page.goto(target, wait_until="domcontentloaded", timeout=timeout_ms)
except Exception:
pass
raise RuntimeError(
"Playwright refresh completed but challenge page is still active "
f"(navigation_content_errors={navigation_error_count})"
)
@staticmethod
def _accept_cookie_banner(page: Any) -> None:
for selector in COOKIE_ACCEPT_SELECTORS:
try:
locator = page.locator(selector).first
if locator.count() == 0 or not locator.is_visible(timeout=500):
continue
locator.click(timeout=2_000)
page.wait_for_timeout(250)
return
except Exception:
continue
def _save_storage_state(self, session: requests.Session) -> None:
tokens_file = self._settings.tokens_file
if not tokens_file:
return
path = __import__("pathlib").Path(tokens_file)
cookies: list[dict[str, Any]] = []
for cookie in session.cookies:
payload: dict[str, Any] = {
"name": cookie.name,
"value": cookie.value,
"domain": cookie.domain or ".iaai.com",
"path": cookie.path or "/",
"httpOnly": False,
"secure": bool(cookie.secure),
"sameSite": "Lax",
}
if cookie.expires is not None:
payload["expires"] = int(cookie.expires)
cookies.append(payload)
try:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps({"cookies": cookies, "origins": []}, ensure_ascii=False, indent=2), encoding="utf-8")
except PermissionError as exc:
logger.info("Cannot persist IAAI storage state to '%s': %s", path, exc)
except OSError as exc:
logger.info("Failed to persist IAAI storage state to '%s': %s", path, exc)
@staticmethod
def _sleep_backoff(retry_backoff_ms: int, attempt: int) -> None:
if retry_backoff_ms <= 0:
return
time.sleep(retry_backoff_ms * (2**attempt) / 1000)
class IAAIFastClient:
def __init__(self, settings: Settings) -> None:
self._settings = settings
self._auth = HybridSessionAuth(settings)
def persist_session_state(self) -> None:
self._auth.persist_storage_state()
def iter_listing_vehicles(
self,
*,
listing_start_url: str | None = None,
make: str | None = None,
max_pages: int | None = None,
) -> Iterator[FastListingVehicle]:
seen_inventory_ids: set[str] = set()
scope_paths = resolve_listing_scope_paths(
listing_start_url=listing_start_url or "",
brands={make} if make else set(),
)
for scope_path in scope_paths:
first_page_html = self._fetch_listing_first_page(scope_path)
search_scope_path = build_search_scope_path_from_html(first_page_html)
if search_scope_path and search_scope_path != scope_path:
logger.info(
"Resolved listing scope to fast Search URL: scope=%s search_scope=%s",
scope_path,
search_scope_path,
)
scope_path = search_scope_path
first_page = parse_listing_page(first_page_html)
for vehicle in first_page.vehicles:
if vehicle.inventory_id in seen_inventory_ids:
continue
seen_inventory_ids.add(vehicle.inventory_id)
yield vehicle
page_size = max(1, first_page.page_size)
total_pages = max(1, math.ceil(max(first_page.result_count, len(first_page.vehicles)) / page_size))
if max_pages is not None and max_pages > 0:
total_pages = min(total_pages, max_pages)
gbp_search_query = first_page.gbp_search_query
logger.info(
"Fast listing first page parsed: scope=%s result_count=%s page_size=%s total_pages=%s first_page_vehicles=%s",
scope_path,
first_page.result_count,
page_size,
total_pages,
len(first_page.vehicles),
)
for page_number in range(2, total_pages + 1):
if page_number == 2 or page_number % 25 == 0 or page_number == total_pages:
logger.info("Fast listing page fetch progress: page=%s/%s", page_number, total_pages)
page_html = self._fetch_listing_page(scope_path, gbp_search_query, page_number, page_size)
parsed_page = parse_listing_page(page_html)
gbp_search_query = parsed_page.gbp_search_query
for vehicle in parsed_page.vehicles:
if vehicle.inventory_id in seen_inventory_ids:
continue
seen_inventory_ids.add(vehicle.inventory_id)
yield vehicle
def fetch_vehicle_detail_payload(self, inventory_id: str) -> dict[str, Any]:
escaped_id = quote(inventory_id, safe="~")
url = urljoin(self._settings.home_url, f"VehicleDetail/{escaped_id}")
response = self._auth.request(
"GET",
url,
timeout=max(1, self._settings.fast_path_timeout_ms // 1000),
retries=max(0, self._settings.scraping_profile.detail_retries if self._settings.scraping_profile.detail_retries is not None else self._settings.max_retries),
retry_backoff_ms=int(max(0, self._settings.retry_delay_seconds * 1000)),
headers={"accept": "text/html,application/xhtml+xml"},
expected_marker=DETAIL_MARKER,
)
with response:
if response.status_code >= 400:
raise RuntimeError(f"Vehicle detail request failed id={inventory_id} status={response.status_code}")
return parse_product_details_vm(response.text)
def fetch_vehicle_detail_html(self, inventory_id: str) -> str:
escaped_id = quote(inventory_id, safe="~")
url = urljoin(self._settings.home_url, f"VehicleDetail/{escaped_id}")
response = self._auth.request(
"GET",
url,
timeout=max(1, self._settings.fast_path_timeout_ms // 1000),
retries=max(0, self._settings.scraping_profile.detail_retries if self._settings.scraping_profile.detail_retries is not None else self._settings.max_retries),
retry_backoff_ms=int(max(0, self._settings.retry_delay_seconds * 1000)),
headers={"accept": "text/html,application/xhtml+xml"},
expected_marker=DETAIL_MARKER,
)
with response:
if response.status_code >= 400:
raise RuntimeError(f"Vehicle detail request failed id={inventory_id} status={response.status_code}")
return response.text
def _fetch_listing_first_page(self, scope_path: str) -> str:
url = scope_path if scope_path.lower().startswith(("http://", "https://")) else urljoin(self._settings.home_url, scope_path.lstrip("/"))
response = self._auth.request(
"GET",
url,
timeout=max(1, self._settings.fast_path_timeout_ms // 1000),
retries=max(0, self._settings.scraping_profile.listing_retries if self._settings.scraping_profile.listing_retries is not None else self._settings.max_retries),
retry_backoff_ms=int(max(0, self._settings.retry_delay_seconds * 1000)),
headers={"accept": "text/html,application/xhtml+xml"},
expected_marker=LISTING_MARKER,
)
with response:
if response.status_code >= 400:
raise RuntimeError(f"Listing request failed path={scope_path} status={response.status_code}")
return response.text
def _fetch_listing_page(self, scope_path: str, gbp_search_query: dict[str, Any], page_number: int, page_size: int) -> str:
query_payload = dict(gbp_search_query)
query_payload["CurrentPage"] = page_number
query_payload["PageSize"] = page_size
search_url = urljoin(self._settings.home_url, "Search")
common_headers = {
"accept": "text/html,application/xhtml+xml,*/*",
"x-requested-with": "XMLHttpRequest",
}
attempts: list[tuple[dict[str, str], Any, Any]] = [
({**common_headers, "content-type": "application/json"}, None, query_payload),
({**common_headers, "content-type": "application/json"}, None, {"GBPSearchQuery": query_payload}),
({**common_headers}, {"GBPSearchQuery": json.dumps(query_payload, separators=(",", ":"))}, None),
({**common_headers, "content-type": "application/json"}, json.dumps({"GBPSearchQuery": json.dumps(query_payload, separators=(",", ":"))}), None),
]
attempts = attempts[:max(1, min(len(attempts), int(self._settings.scraping_profile.listing_post_attempts)))]
last_error: Exception | None = None
for headers, data, json_body in attempts:
try:
response = self._auth.request(
"POST",
search_url,
timeout=max(1, self._settings.fast_path_timeout_ms // 1000),
retries=max(0, self._settings.scraping_profile.listing_retries if self._settings.scraping_profile.listing_retries is not None else self._settings.max_retries),
retry_backoff_ms=int(max(0, self._settings.retry_delay_seconds * 1000)),
headers=headers,
data=data,
json_body=json_body,
expected_marker=LISTING_MARKER,
)
with response:
if response.status_code >= 400:
raise RuntimeError(f"Listing page request failed status={response.status_code} page={page_number}")
body = response.text
if LISTING_MARKER not in body:
raise RuntimeError("Listing page response does not include GBPSearchQuery")
return body
except Exception as exc:
last_error = exc
continue
if last_error is not None:
raise RuntimeError(f"Failed to load listing page={page_number} for {scope_path}: {last_error}") from last_error
raise RuntimeError(f"Failed to load listing page={page_number} for {scope_path}")
def build_brand_scope_paths(brands: set[str]) -> list[str]:
if not brands:
return ["/Vehiclelisting/Cars"]
paths: list[str] = []
for brand in sorted(brands):
raw = brand.strip()
if not raw:
continue
override = BRAND_SCOPE_OVERRIDES.get(raw.upper())
if override:
if override not in paths:
paths.append(override)
continue
slug_hyphen = quote(raw.replace(" ", "-"), safe="-")
slug_raw = quote(raw, safe="")
for slug in (slug_hyphen, slug_raw):
path = f"/Vehiclelisting/Cars/{slug}"
if path not in paths:
paths.append(path)
return paths or ["/Vehiclelisting/Cars"]
def resolve_listing_scope_paths(*, listing_start_url: str, brands: set[str]) -> list[str]:
explicit_scope = listing_start_url.strip()
if explicit_scope:
if explicit_scope.lower().startswith(("http://", "https://", "/")):
return [explicit_scope]
return [f"/Search?url={explicit_scope}"]
return build_brand_scope_paths(brands)
def build_search_scope_path_from_html(html_text: str) -> str | None:
tiny_url = parse_attribute_value(html_text, "data-tinyurl")
if tiny_url:
return f"/Search?url={tiny_url}"
data_query_raw = parse_attribute_value(html_text, "data-query")
if data_query_raw:
try:
data_query = json.loads(data_query_raw)
except (json.JSONDecodeError, ValueError, TypeError):
data_query = None
if isinstance(data_query, dict):
url_value = parse_text(data_query.get("Url"))
if url_value:
return f"/Search?url={url_value}"
return None
def parse_listing_page(html_text: str) -> FastListingPage:
gbp_raw = parse_hidden_input_value(html_text, "GBPSearchQuery")
vehicle_raw = parse_hidden_input_value(html_text, "VehicleDetails")
result_count_raw = parse_hidden_input_value(html_text, "ResultCount")
page_size_raw = parse_hidden_input_value(html_text, "PageSize")
current_page_raw = parse_hidden_input_value(html_text, "CurrentPage")
if not gbp_raw:
raise RuntimeError("Listing page missing GBPSearchQuery")
if vehicle_raw is None:
raise RuntimeError("Listing page missing VehicleDetails")
gbp_payload = json.loads(gbp_raw)
if not isinstance(gbp_payload, dict):
raise RuntimeError("GBPSearchQuery payload is not object")
vehicle_payload = json.loads(vehicle_raw)
if not isinstance(vehicle_payload, list):
raise RuntimeError("VehicleDetails payload is not array")
vehicles: list[FastListingVehicle] = []
for item in vehicle_payload:
if not isinstance(item, dict):
continue
inventory_id = parse_text(item.get("Id"))
if not inventory_id:
continue
vehicles.append(
FastListingVehicle(
inventory_id=inventory_id,
tenant=parse_text(item.get("Tenant")),
auction_id=parse_text(item.get("ActnLnId")),
auction_date=parse_text(item.get("AuctionDate")) or parse_text(item.get("ActnDtTm")),
inventory_status=parse_text(item.get("InventoryStatus")),
currency=parse_text(item.get("Currency")),
timed_auction_closed=parse_bool(item.get("TimedAuctionClosedIndicator")),
timed_auction_indicator=parse_bool(item.get("TimedAuctionIndicator")),
prebid_indicator=parse_bool(item.get("PreBidIndicator")),
buynow_indicator=parse_bool(item.get("BuyNowIndicator")),
)
)
return FastListingPage(
vehicles=vehicles,
result_count=parse_int(result_count_raw) or len(vehicles),
page_size=parse_int(page_size_raw) or max(1, len(vehicles)),
current_page=parse_int(current_page_raw) or 1,
gbp_search_query=gbp_payload,
)
def parse_product_details_vm(html_text: str) -> dict[str, Any]:
match = re.search(
r"<script[^>]*id=[\"']ProductDetailsVM[\"'][^>]*>\s*(\{.*?\})\s*</script>",
html_text,
flags=re.DOTALL | re.IGNORECASE,
)
if match is None:
raise RuntimeError("ProductDetailsVM script not found")
payload = json.loads(match.group(1))
if not isinstance(payload, dict):
raise RuntimeError("ProductDetailsVM root is not object")
return payload
def parse_hidden_input_value(html_text: str, input_id: str) -> str | None:
escaped_id = re.escape(input_id)
patterns = (
rf"<input[^>]*\bid=\"{escaped_id}\"[^>]*\bvalue=\"([^\"]*)\"",
rf"<input[^>]*\bid='{escaped_id}'[^>]*\bvalue='([^']*)'",
)
for pattern in patterns:
match = re.search(pattern, html_text, flags=re.IGNORECASE)
if match is not None:
return html.unescape(match.group(1))
return None
def parse_attribute_value(html_text: str, attribute_name: str) -> str | None:
escaped_name = re.escape(attribute_name)
patterns = (
rf"\b{escaped_name}=\"([^\"]*)\"",
rf"\b{escaped_name}='([^']*)'",
)
for pattern in patterns:
match = re.search(pattern, html_text, flags=re.IGNORECASE)
if match is not None:
value = html.unescape(match.group(1)).strip()
return value or None
return None
def build_resizer_images_from_keys(image_keys: list[dict[str, Any]]) -> list[dict[str, str | int]]:
seen_fullres: set[str] = set()
images: list[dict[str, str | int]] = []
for index, item in enumerate(image_keys):
if not isinstance(item, dict):
continue
key = parse_text(item.get("k"))
if key is None:
continue
width = parse_int(item.get("w")) or 1600
height = parse_int(item.get("h")) or 1200
if width <= 0:
width = 1600
if height <= 0:
height = 1200
order_index = parse_int(item.get("i"))
if order_index is None:
order_index = parse_int(item.get("in"))
if order_index is None:
order_index = index
preview_width = min(640, width)
preview_height = max(1, int(round(height * (preview_width / width))))
escaped_key = quote(key, safe="~")
fullres = f"{RESIZER_URL}?imageKeys={escaped_key}&width={width}&height={height}"
preview = f"{RESIZER_URL}?imageKeys={escaped_key}&width={preview_width}&height={preview_height}"
if fullres in seen_fullres:
continue
seen_fullres.add(fullres)
images.append({"order_index": order_index, "fullres_image": fullres, "preview_image": preview})
images.sort(key=lambda row: (parse_int(row.get("order_index")) or 0, str(row.get("fullres_image"))))
return images
def is_challenge_response(*, status_code: int, body_text: str, expected_marker: str | None = None) -> bool:
if status_code in {401, 403}:
return True
if _expected_marker_present(body_text=body_text, expected_marker=expected_marker):
return False
lowered = (body_text or "").lower()
if any(marker in lowered for marker in CHALLENGE_MARKERS):
return True
if expected_marker and not _expected_marker_present(body_text=body_text, expected_marker=expected_marker):
if "<html" in lowered or "<body" in lowered:
return True
return False
def _expected_marker_present(*, body_text: str, expected_marker: str | None) -> bool:
if not expected_marker:
return False
if expected_marker in body_text:
return True
if '"' in expected_marker and expected_marker.replace('"', "'") in body_text:
return True
if "'" in expected_marker and expected_marker.replace("'", '"') in body_text:
return True
marker_match = re.search(r"id=['\"]([^'\"]+)['\"]", expected_marker)
if marker_match is None:
return False
marker_id = re.escape(marker_match.group(1))
return bool(re.search(rf"id\s*=\s*['\"]{marker_id}['\"]", body_text, flags=re.IGNORECASE))
def parse_text(value: Any) -> str | None:
if isinstance(value, str):
text = value.strip()
return text if text else None
return None
def parse_bool(value: Any) -> bool:
if isinstance(value, bool):
return value
if isinstance(value, str):
return value.strip().lower() in {"true", "1", "yes", "on"}
if isinstance(value, (int, float)) and not isinstance(value, bool):
return value != 0
return False
def parse_int(value: Any) -> int | None:
if value is None or isinstance(value, bool):
return None
if isinstance(value, int):
return value
if isinstance(value, float):
return int(round(value))
if isinstance(value, str):
text = value.strip()
if not text:
return None
normalized = text.replace(",", "").replace(" ", "").replace("$", "")
match = re.search(r"-?\d+(?:\.\d+)?", normalized)
if match is None:
return None
try:
return int(round(float(match.group(0))))
except ValueError:
return None
return None

View File

@@ -651,6 +651,8 @@ class ListingCollector:
count = locator.count()
if count == 0:
continue
if not hasattr(locator, "nth"):
return True
# Проверяем, что хотя бы один элемент не disabled.
# Disabled "Next" на последней странице не означает наличия следующей.
for i in range(min(count, 3)):

View File

@@ -2,6 +2,7 @@ import json
import os
from dataclasses import dataclass, field
from pathlib import Path
from urllib.parse import quote, urlsplit, urlunsplit
from dotenv import load_dotenv
@@ -104,6 +105,8 @@ class HumanPaceConfig:
@dataclass(slots=True)
class ListingConfig:
cars_url: str = _env_str("IAAI_CARS_LISTING_URL", "https://www.iaai.com/Vehiclelisting/Cars")
filtered_search_url: str | None = _env_optional_str("IAAI_FILTERED_SEARCH_URL")
filtered_search_urls_raw: str | None = _env_optional_str("IAAI_FILTERED_SEARCH_URLS")
max_pages_per_run: int = _env_int("IAAI_MAX_PAGES_PER_RUN", 9999)
max_vehicles_per_run: int = _env_int("IAAI_MAX_VEHICLES_PER_RUN", 50000)
page_link_limit: int = _env_int("IAAI_PAGE_LINK_LIMIT", 500)
@@ -113,9 +116,31 @@ class ListingConfig:
# прекращаем листать — все новые машины уже найдены. 0 = отключено.
early_stop_threshold: float = _env_float("IAAI_EARLY_STOP_THRESHOLD", 0.8)
# Сегментация листинга по брендам для обхода лимита пагинации IAAI (~22 600 машин).
# JSON-массив объектов: [{"make":"TOYOTA"},{"make":"FORD"},...] или "auto" для авто-списка.
# JSON-массив объектов: [{"make":"TOYOTA"},{"make":"FORD"},...], "auto" для авто-списка
# или "runtime" для построения по runtime_config.filters.brands.
# Пустая строка = без сегментации (backward compatible).
listing_segments_json: str = _env_str("IAAI_LISTING_SEGMENTS", "")
fast_segment_year_splits: bool = _env_bool("IAAI_FAST_SEGMENT_YEAR_SPLITS", True)
@property
def filtered_search_urls(self) -> list[str]:
urls: list[str] = []
if self.filtered_search_url and self.filtered_search_url.strip():
urls.append(self.filtered_search_url.strip())
if self.filtered_search_urls_raw and self.filtered_search_urls_raw.strip():
raw = self.filtered_search_urls_raw.strip()
try:
parsed = json.loads(raw)
except (json.JSONDecodeError, ValueError):
parsed = None
if isinstance(parsed, list):
candidates = [str(item or "").strip() for item in parsed]
else:
candidates = [part.strip() for part in raw.replace("\n", ",").split(",")]
for candidate in candidates:
if candidate and candidate not in urls:
urls.append(candidate)
return urls
# Список брендов IAAI для автоматической сегментации.
@@ -149,6 +174,43 @@ _YEAR_SPLITS: tuple[tuple[int, int], ...] = (
)
def build_listing_segments_for_makes(makes: tuple[str, ...] | list[str]) -> list[dict[str, str | int | None]]:
"""Строит сегменты по переданному списку брендов.
Крупные бренды режутся по годовым диапазонам так же, как в ``auto``.
"""
segments: list[dict[str, str | int | None]] = []
seen: set[str] = set()
for raw_make in makes:
make = str(raw_make or "").strip().upper()
if not make or make in seen:
continue
seen.add(make)
if make in _LARGE_MAKES:
for yr_min, yr_max in _YEAR_SPLITS:
segments.append({"make": make, "year_min": yr_min, "year_max": yr_max})
else:
segments.append({"make": make, "year_min": None, "year_max": None})
return segments
def build_fast_listing_segments_for_makes(makes: tuple[str, ...] | list[str]) -> list[dict[str, str | int | None]]:
"""Строит HTTP-first сегменты без UI-фильтров годов.
Это ближе к iaai-fast: один бренд = один hidden-payload HTTP обход.
Годовые split-сегменты требуют браузерный UI-фильтр и ломают стабильность fast-профиля.
"""
segments: list[dict[str, str | int | None]] = []
seen: set[str] = set()
for raw_make in makes:
make = str(raw_make or "").strip().upper()
if not make or make in seen:
continue
seen.add(make)
segments.append({"make": make, "year_min": None, "year_max": None})
return segments
def parse_listing_segments(raw: str) -> list[dict[str, str | int | None]]:
"""Парсит IAAI_LISTING_SEGMENTS в список сегментов.
@@ -160,14 +222,7 @@ def parse_listing_segments(raw: str) -> list[dict[str, str | int | None]]:
if not raw:
return []
if raw.lower() == "auto":
segments: list[dict[str, str | int | None]] = []
for m in IAAI_DEFAULT_MAKES:
if m in _LARGE_MAKES:
for yr_min, yr_max in _YEAR_SPLITS:
segments.append({"make": m, "year_min": yr_min, "year_max": yr_max})
else:
segments.append({"make": m, "year_min": None, "year_max": None})
return segments
return build_listing_segments_for_makes(list(IAAI_DEFAULT_MAKES))
try:
data = json.loads(raw)
except (json.JSONDecodeError, ValueError):
@@ -216,7 +271,7 @@ class DiscoveryConfig:
mode: str = _env_str("IAAI_DISCOVERY_MODE", "sitemap")
hourly_mode: str = _env_str("IAAI_HOURLY_MODE", "rolling_refresh")
hourly_refresh_batch_size: int = _env_int("IAAI_HOURLY_REFRESH_BATCH_SIZE", 500)
always_full_scan: bool = _env_bool("IAAI_ALWAYS_FULL_SCAN", True)
always_full_scan: bool = _env_bool("IAAI_ALWAYS_FULL_SCAN", False)
# --- Конфиг Celery (лимиты задач, concurrency, beat-расписание) ---
@@ -229,16 +284,56 @@ class CeleryConfig:
task_time_limit: int = _env_int("CELERY_TASK_TIME_LIMIT", 3600)
task_stall_timeout_seconds: int = _env_int("CELERY_TASK_STALL_TIMEOUT_SECONDS", 600)
worker_concurrency: int = _env_int("CELERY_WORKER_CONCURRENCY", 4)
worker_pool: str = _env_str("CELERY_WORKER_POOL", "prefork")
worker_max_tasks_per_child: int = _env_int("CELERY_WORKER_MAX_TASKS_PER_CHILD", 5)
broker_visibility_timeout: int = _env_int("CELERY_BROKER_VISIBILITY_TIMEOUT", 7200)
beat_sync_interval_minutes: int = _env_int("CELERY_BEAT_SYNC_INTERVAL_MINUTES", 60)
beat_sync_limit: int | None = _env_int("CELERY_BEAT_SYNC_LIMIT", 0) or None
batch_size: int = _env_int("CELERY_BATCH_SIZE", 50)
parallel_tabs: int = _env_int("IAAI_PARALLEL_TABS", 8)
fetch_concurrency: int = _env_int("IAAI_FETCH_CONCURRENCY", _env_int("IAAI_PARALLEL_TABS", 8))
parallel_segments: bool = _env_bool("CELERY_PARALLEL_SEGMENTS", False)
block_resources: bool = _env_bool("IAAI_BLOCK_RESOURCES", True)
@dataclass(slots=True)
class ScrapingProfileConfig:
name: str = _env_str("IAAI_SCRAPING_PROFILE", _env_str("IAAI_PROFILE", "stable")).strip().lower()
http_first: bool = _env_bool("IAAI_HTTP_FIRST", True)
browser_fallback_enabled: bool = _env_bool("IAAI_BROWSER_FALLBACK_ENABLED", True)
anonymous_bootstrap_enabled: bool = _env_bool("IAAI_ANONYMOUS_BOOTSTRAP_ENABLED", True)
verbose_http_logs: bool = _env_bool("IAAI_VERBOSE_HTTP_LOGS", False)
verbose_progress_logs: bool = _env_bool("IAAI_VERBOSE_PROGRESS_LOGS", False)
challenge_refresh_enabled: bool = _env_bool("IAAI_CHALLENGE_REFRESH_ENABLED", True)
challenge_refresh_attempts: int = _env_int("IAAI_CHALLENGE_REFRESH_ATTEMPTS", 3)
listing_post_attempts: int = _env_int("IAAI_LISTING_POST_ATTEMPTS", 4)
request_jitter_max_s: float = _env_float("IAAI_REQUEST_JITTER_MAX_S", 0.15)
detail_retries: int | None = _env_int("IAAI_DETAIL_RETRIES", -1)
listing_retries: int | None = _env_int("IAAI_LISTING_RETRIES", -1)
def __post_init__(self) -> None:
if self.name == "fast":
if "IAAI_BROWSER_FALLBACK_ENABLED" not in os.environ:
self.browser_fallback_enabled = False
if "IAAI_ANONYMOUS_BOOTSTRAP_ENABLED" not in os.environ:
self.anonymous_bootstrap_enabled = False
if "IAAI_CHALLENGE_REFRESH_ATTEMPTS" not in os.environ:
self.challenge_refresh_attempts = 1
if "IAAI_LISTING_POST_ATTEMPTS" not in os.environ:
self.listing_post_attempts = 2
if "IAAI_REQUEST_JITTER_MAX_S" not in os.environ:
self.request_jitter_max_s = 0.0
if "IAAI_DETAIL_RETRIES" not in os.environ:
self.detail_retries = 1
if "IAAI_LISTING_RETRIES" not in os.environ:
self.listing_retries = 1
else:
if self.detail_retries is not None and self.detail_retries < 0:
self.detail_retries = None
if self.listing_retries is not None and self.listing_retries < 0:
self.listing_retries = None
# --- Конфиг прокси (server, username, password) ---
@dataclass(slots=True)
@@ -261,6 +356,32 @@ class ProxyConfig:
result["password"] = self.password
return result
def to_requests_proxy_url(self) -> str | None:
if not self.server:
return None
if not self.username:
return self.server
parts = urlsplit(self.server)
if not parts.scheme or not parts.hostname:
return self.server
username = quote(self.username, safe="")
password = quote(self.password or "", safe="")
host = parts.hostname
if ":" in host and not host.startswith("["):
host = f"[{host}]"
if parts.port is not None:
host = f"{host}:{parts.port}"
netloc = f"{username}:{password}@{host}"
return urlunsplit((parts.scheme, netloc, parts.path, parts.query, parts.fragment))
def to_requests_proxies(self) -> dict[str, str] | None:
proxy_url = self.to_requests_proxy_url()
if not proxy_url:
return None
return {"http": proxy_url, "https": proxy_url}
# Главный объект настроек: собирает все блоки конфигурации
@@ -269,7 +390,7 @@ class Settings:
home_url: str = "https://www.iaai.com/"
default_timeout_ms: int = _env_int("IAAI_TIMEOUT_MS", 45000)
network_settle_ms: int = _env_int("IAAI_NETWORK_SETTLE_MS", 400)
fast_path_timeout_ms: int = _env_int("IAAI_FAST_PATH_TIMEOUT_MS", 5000)
fast_path_timeout_ms: int = _env_int("IAAI_FAST_PATH_TIMEOUT_MS", 15000)
fast_path_max_attempts: int = _env_int("IAAI_FAST_PATH_MAX_ATTEMPTS", 1)
fallback_navigation_timeout_ms: int = _env_int("IAAI_FALLBACK_NAV_TIMEOUT_MS", 15000)
max_retries: int = _env_int("IAAI_MAX_RETRIES", 3)
@@ -295,11 +416,16 @@ class Settings:
celery: CeleryConfig = field(default_factory=CeleryConfig)
proxy: ProxyConfig = field(default_factory=ProxyConfig)
discovery: DiscoveryConfig = field(default_factory=DiscoveryConfig)
scraping_profile: ScrapingProfileConfig = field(default_factory=ScrapingProfileConfig)
@property
def parallel_tabs(self) -> int:
return self.celery.parallel_tabs
@property
def fetch_concurrency(self) -> int:
return self.celery.fetch_concurrency
@property
def block_resources(self) -> bool:
return self.celery.block_resources

View File

@@ -18,8 +18,9 @@ def set_trace_id(trace_id: str) -> None:
def setup_logging(level: str = "INFO", log_file: str | None = None) -> None:
# stderr — Docker и Celery prefork корректно его подхватывают.
handlers: list[logging.Handler] = [logging.StreamHandler(sys.stderr)]
# stdout — основной поток для `docker logs`, Docker Desktop и compose logs.
# stderr в PowerShell часто выглядит как NativeCommandError, хотя это обычные логи.
handlers: list[logging.Handler] = [logging.StreamHandler(sys.stdout)]
if log_file:
handlers.append(logging.FileHandler(log_file, encoding="utf-8"))
trace_filter = TraceIdFilter()
@@ -29,9 +30,15 @@ def setup_logging(level: str = "INFO", log_file: str | None = None) -> None:
root = logging.getLogger()
root.setLevel(getattr(logging, level.upper(), logging.INFO))
# Убираем старые хендлеры, чтобы не дублировать после fork.
for old_handler in list(root.handlers):
try:
old_handler.close()
except Exception:
pass
root.handlers.clear()
for handler in handlers:
root.addHandler(handler)
root.propagate = False
fmt = logging.Formatter(
"%(asctime)s | %(levelname)s | %(name)s | trace=%(trace_id)s | %(message)s"
)

486
iaai_scraper/fast_sync.py Normal file
View File

@@ -0,0 +1,486 @@
from __future__ import annotations
import concurrent.futures
import logging
import random
import time
from dataclasses import dataclass
from typing import Any, Callable
from .browser.fast_client import FastListingVehicle, IAAIFastClient
from .core.runtime_config import RuntimeConfig
from .parsing.fast_mapper import INACTIVE_STATUS_VALUES, FastCarMapper
from .storage.db import PersistenceService
from .storage.schemas import CarRecord
logger = logging.getLogger("iaai_scraper.fast_sync")
@dataclass(slots=True)
class FastSyncStats:
ids_fetched: int = 0
cars_upserted: int = 0
cars_failed: int = 0
cars_filtered: int = 0
images_upserted: int = 0
skipped_existing: int = 0
protection_events: int = 0
def passes_condition_check(row: FastListingVehicle) -> bool:
if row.timed_auction_closed:
return False
status = (row.inventory_status or "").strip().upper()
return status not in INACTIVE_STATUS_VALUES
class FastSyncEngine:
"""Full iaai-fast style sync pipeline adapted to this project's storage.
Flow: hidden listing payloads -> concurrent ProductDetailsVM HTTP fetch ->
CarRecord preparation in memory -> single batch DB upsert. Browser is used
only inside IAAIFastClient to refresh cookies when IAAI challenge appears.
"""
def __init__(
self,
*,
client: IAAIFastClient,
mapper: FastCarMapper,
persistence: PersistenceService,
batch_size: int,
fetch_concurrency: int,
report_progress: Callable[[str, Any], None] | None = None,
) -> None:
self.client = client
self.mapper = mapper
self.persistence = persistence
self.batch_size = max(1, int(batch_size))
self.fetch_concurrency = max(1, int(fetch_concurrency))
self.report_progress = report_progress
@staticmethod
def _is_transient_detail_error(exc: Exception) -> bool:
text = str(exc).lower()
return any(
marker in text
for marker in (
"sslerror",
"ssleoferror",
"unexpected_eof_while_reading",
"eof occurred in violation of protocol",
"max retries exceeded",
"read timed out",
"readtimeout",
"connection reset",
"connection aborted",
"connection closed",
"temporarily unavailable",
"too many requests",
"status=429",
"status=500",
"status=502",
"status=503",
"status=504",
)
)
def sync_listing(
self,
*,
runtime_config: RuntimeConfig,
make: str | None = None,
model: str | None = None,
lane: str = "iaai_cars",
limit: int | None = None,
only_new: bool = False,
listing_url: str | None = None,
max_pages: int | None = None,
skip_mark_sold: bool = False,
) -> dict[str, Any]:
del lane
started_at = time.perf_counter()
stats = FastSyncStats()
errors: list[dict[str, str]] = []
selected: dict[str, FastListingVehicle] = {}
rows_seen = 0
rows_skipped_condition = 0
filters = runtime_config.filters
logger.info(
"Fast HTTP-first listing started: make=%s listing_url=%s max_pages=%s concurrency=%s batch_size=%s",
make or "ALL",
listing_url or "default",
max_pages,
self.fetch_concurrency,
self.batch_size,
)
for vehicle in self.client.iter_listing_vehicles(
listing_start_url=listing_url,
make=make,
max_pages=max_pages,
):
rows_seen += 1
if runtime_config.sync.condition_check_enabled and not passes_condition_check(vehicle):
rows_skipped_condition += 1
continue
if vehicle.inventory_id in selected:
continue
selected[vehicle.inventory_id] = vehicle
if limit is not None and limit > 0 and len(selected) >= limit:
break
candidates = list(selected.values())
all_listing_origin_urls = {f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in candidates}
if only_new and candidates:
origin_urls = [f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in candidates]
origin_ids = [f"iaai:{v.inventory_id}" for v in candidates]
existing_urls, existing_ids = self.persistence.get_existing_urls_and_ids(origin_urls, origin_ids)
fresh: list[FastListingVehicle] = []
for vehicle in candidates:
if f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}" in existing_urls or f"iaai:{vehicle.inventory_id}" in existing_ids:
stats.skipped_existing += 1
continue
fresh.append(vehicle)
candidates = fresh
self._progress(
"fast_listing_collected",
rows_seen=rows_seen,
rows_filtered_condition=rows_skipped_condition,
rows_selected=len(candidates),
skipped_existing=stats.skipped_existing,
)
logger.info(
"Fast HTTP-first listing collected: rows_seen=%d selected=%d skipped_existing=%d filtered_condition=%d only_new=%s",
rows_seen,
len(candidates),
stats.skipped_existing,
rows_skipped_condition,
only_new,
)
scan_completed = not (limit is not None and limit > 0) and not errors
if not candidates:
return self._result(
started_at=started_at,
stats=stats,
failures=errors,
listing={
"mode": "fast_hidden_payload",
"vehicles_collected": 0,
"vehicle_urls": [],
"early_stopped": False,
"truncated_by_time_budget": False,
"rows_seen": rows_seen,
"rows_filtered_condition": rows_skipped_condition,
},
all_listing_origin_urls=all_listing_origin_urls,
full_scan_completed=scan_completed,
)
prepared_rows: list[CarRecord] = []
db_processed = 0
retry_candidates: list[FastListingVehicle] = []
transient_failure_log_count = 0
started_details = time.perf_counter()
with concurrent.futures.ThreadPoolExecutor(max_workers=min(self.fetch_concurrency, len(candidates))) as executor:
future_to_vehicle = {
executor.submit(self._fetch_detail_payload, vehicle.inventory_id): vehicle
for vehicle in candidates
}
for index, future in enumerate(concurrent.futures.as_completed(future_to_vehicle), start=1):
vehicle = future_to_vehicle[future]
try:
payload = future.result()
record = self.mapper.map_payload_to_record(
detail_payload=payload,
vehicle_url=f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}",
listing_vehicle=vehicle,
)
if model and model.casefold() not in record.model.casefold():
stats.cars_filtered += 1
continue
if not filters.matches({
"brand": record.brand,
"model": record.model,
"year": record.year,
"body_type": record.body_type,
"color": record.color,
"drive": record.drive,
"gearbox": record.gearbox,
"price": record.price,
"mileage": record.mileage,
}):
stats.cars_filtered += 1
continue
prepared_rows.append(record)
stats.ids_fetched += 1
if len(prepared_rows) >= self.batch_size:
db_processed += self._flush_db_records(
rows=prepared_rows,
stats=stats,
errors=errors,
processed=db_processed + len(prepared_rows),
total=len(candidates),
)
prepared_rows.clear()
except Exception as exc:
stats.cars_failed += 1
errors.append({"vehicle_url": f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}", "error": str(exc)})
if _looks_like_protection(exc):
stats.protection_events += 1
if self._is_transient_detail_error(exc):
retry_candidates.append(vehicle)
transient_failure_log_count += 1
if transient_failure_log_count % 100 == 0:
logger.warning(
"Fast detail transient failures queued for retry: count=%d latest_inventory_id=%s",
transient_failure_log_count,
vehicle.inventory_id,
)
else:
logger.exception("Fast detail parse failed inventory_id=%s: %s", vehicle.inventory_id, exc)
if index % 100 == 0 or index == len(candidates):
elapsed = max(0.001, time.perf_counter() - started_details)
verbose_progress_logs = bool(
getattr(
getattr(getattr(self.client, "_settings", None), "scraping_profile", None),
"verbose_progress_logs",
False,
)
)
if verbose_progress_logs:
logger.info(
"Fast HTTP-first details progress: processed=%d/%d ok=%d failed=%d queued_db=%d rate=%.2f/s",
index,
len(candidates),
stats.ids_fetched,
stats.cars_failed,
len(prepared_rows),
index / elapsed,
)
self._progress(
"fast_detail_progress",
processed=index,
total=len(candidates),
ids_fetched=stats.ids_fetched,
cars_failed=stats.cars_failed,
queued_for_db=len(prepared_rows),
throughput=round(index / elapsed, 2),
)
if retry_candidates:
retry_started = time.perf_counter()
retry_workers = max(1, min(8, self.fetch_concurrency // 2, len(retry_candidates)))
retry_errors: list[dict[str, str]] = []
logger.info(
"Fast HTTP-first retrying transient detail failures: total=%d workers=%d",
len(retry_candidates),
retry_workers,
)
with concurrent.futures.ThreadPoolExecutor(max_workers=retry_workers) as executor:
future_to_vehicle = {
executor.submit(self._fetch_detail_payload, vehicle.inventory_id): vehicle
for vehicle in retry_candidates
}
for retry_index, future in enumerate(concurrent.futures.as_completed(future_to_vehicle), start=1):
vehicle = future_to_vehicle[future]
try:
payload = future.result()
record = self.mapper.map_payload_to_record(
detail_payload=payload,
vehicle_url=f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}",
listing_vehicle=vehicle,
)
if model and model.casefold() not in record.model.casefold():
stats.cars_filtered += 1
continue
if not filters.matches({
"brand": record.brand,
"model": record.model,
"year": record.year,
"body_type": record.body_type,
"color": record.color,
"drive": record.drive,
"gearbox": record.gearbox,
"price": record.price,
"mileage": record.mileage,
}):
stats.cars_filtered += 1
continue
prepared_rows.append(record)
stats.ids_fetched += 1
stats.cars_failed = max(0, stats.cars_failed - 1)
if len(prepared_rows) >= self.batch_size:
db_processed += self._flush_db_records(
rows=prepared_rows,
stats=stats,
errors=errors,
processed=db_processed + len(prepared_rows),
total=len(candidates),
)
prepared_rows.clear()
except Exception as exc:
retry_errors.append({
"vehicle_url": f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}",
"error": str(exc),
})
if _looks_like_protection(exc):
stats.protection_events += 1
if retry_index % 100 == 0 or retry_index == len(retry_candidates):
elapsed = max(0.001, time.perf_counter() - retry_started)
logger.info(
"Fast HTTP-first retry progress: processed=%d/%d recovered=%d remaining_failed=%d rate=%.2f/s",
retry_index,
len(retry_candidates),
len(retry_candidates) - len(retry_errors),
len(retry_errors),
retry_index / elapsed,
)
transient_urls = {f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in retry_candidates}
errors = [error for error in errors if error.get("vehicle_url") not in transient_urls]
errors.extend(retry_errors)
if prepared_rows:
db_processed += self._flush_db_records(
rows=prepared_rows,
stats=stats,
errors=errors,
processed=db_processed + len(prepared_rows),
total=len(candidates),
)
prepared_rows.clear()
self.client.persist_session_state()
scan_completed = not (limit is not None and limit > 0) and not errors
mark_sold_scope_partial = bool(
(limit is not None and limit > 0)
or make
or model
or listing_url
or only_new
)
if all_listing_origin_urls and not mark_sold_scope_partial and not skip_mark_sold and scan_completed:
try:
sold_count = self.persistence.mark_sold_not_in_listing_by_urls(all_listing_origin_urls, lane="iaai")
except Exception as exc:
sold_count = 0
logger.warning("Fast sold reconcile failed: %s", exc)
else:
sold_count = 0
listing = {
"mode": "fast_hidden_payload",
"vehicles_collected": len(candidates),
"vehicle_urls": [f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in candidates],
"early_stopped": False,
"truncated_by_time_budget": False,
"rows_seen": rows_seen,
"rows_filtered_condition": rows_skipped_condition,
"sold_marked": sold_count,
}
return self._result(
started_at=started_at,
stats=stats,
failures=errors,
listing=listing,
all_listing_origin_urls=all_listing_origin_urls,
full_scan_completed=scan_completed,
)
def _result(
self,
*,
started_at: float,
stats: FastSyncStats,
failures: list[dict[str, str]],
listing: dict[str, Any],
all_listing_origin_urls: set[str],
full_scan_completed: bool,
) -> dict[str, Any]:
status = "success" if not failures else ("partial_success" if stats.cars_upserted else "failed")
total = int(listing.get("vehicles_collected") or 0)
fail_ratio = (stats.cars_failed / total) if total > 0 else 0.0
protection_ratio = (stats.protection_events / total) if total > 0 else 0.0
anti_bot_detected = total > 0 and ((stats.protection_events >= 30 and protection_ratio >= 0.10) or fail_ratio >= 0.30)
return {
"status": status,
"listing": listing,
"total": total,
"total_discovered": total,
"skipped_existing": stats.skipped_existing,
"cars_upserted": stats.cars_upserted,
"cars_failed": stats.cars_failed,
"cars_filtered": stats.cars_filtered,
"images_upserted": stats.images_upserted,
"protection_events": stats.protection_events,
"failures": failures,
"all_listing_origin_urls": all_listing_origin_urls,
"full_scan_completed": full_scan_completed and not anti_bot_detected,
"anti_bot_detected": anti_bot_detected,
"fail_ratio": round(fail_ratio, 4),
"protection_ratio": round(protection_ratio, 4),
"elapsed_seconds": round(time.perf_counter() - started_at, 3),
}
def _progress(self, stage: str, **meta: Any) -> None:
if self.report_progress is None:
return
try:
self.report_progress(stage, **meta)
except Exception:
pass
def _fetch_detail_payload(self, inventory_id: str) -> dict[str, Any]:
jitter = float(self.client._settings.scraping_profile.request_jitter_max_s)
if jitter > 0:
time.sleep(random.uniform(0.0, jitter))
return self.client.fetch_vehicle_detail_payload(inventory_id)
def _flush_db_records(
self,
*,
rows: list[CarRecord],
stats: FastSyncStats,
errors: list[dict[str, str]],
processed: int,
total: int,
) -> int:
if not rows:
return 0
batch = list(rows)
try:
upsert = self.persistence.upsert_cars_batch(batch)
stats.cars_upserted += int(upsert.get("inserted", 0)) + int(upsert.get("updated", 0))
stats.images_upserted += int(upsert.get("images_upserted", 0))
except Exception as exc:
stats.cars_failed += len(batch)
errors.append({"vehicle_url": f"db_batch_{processed - len(batch)}", "error": str(exc)})
logger.exception("Fast DB apply failed processed=%s size=%s: %s", processed, len(batch), exc)
self._progress(
"fast_db_progress",
processed=processed,
total=total,
cars_upserted=stats.cars_upserted,
cars_failed=stats.cars_failed,
images_upserted=stats.images_upserted,
)
logger.info(
"Fast HTTP-first DB batch: processed=%d/%d batch=%d upserted=%d failed=%d images=%d",
processed,
total,
len(batch),
stats.cars_upserted,
stats.cars_failed,
stats.images_upserted,
)
return len(batch)
def _looks_like_protection(exc: Exception) -> bool:
message = str(exc).lower()
return any(token in message for token in ("captcha", "antibot", "challenge", "blocked", "403", "429", "incapsula"))

View File

@@ -0,0 +1,368 @@
from __future__ import annotations
import re
from datetime import datetime, timezone
from typing import Any
from urllib.parse import urlparse
from ..browser.fast_client import FastListingVehicle, build_resizer_images_from_keys, parse_int, parse_text
from ..storage.enums import BODY_TYPE_ENUM_VALUES, DRIVE_ENUM_VALUES, GEARBOX_ENUM_VALUES
from ..storage.schemas import CarRecord, ImageRecord
ORIGIN_PREFIX = "iaai:"
ORIGIN_URL_BASE = "https://www.iaai.com/VehicleDetail"
DAMAGE_NEUTRAL_VALUES = {
"NORMAL WEAR & TEAR",
"NORMAL WEAR",
"NORMALWEAR&TEAR",
"NONE",
"NO DAMAGE",
"NO VISIBLE DAMAGE",
"MINOR DENT/SCRATCHES",
}
INACTIVE_STATUS_VALUES = {"SOLD", "SO", "CLOSED", "CN", "DELIVERED", "WITHDRAWN", "WDR", "COMPLETE", "COMPLETED"}
class FastCarMapper:
"""Maps IAAI ProductDetailsVM payloads directly to project CarRecord."""
def map_payload_to_record(
self,
*,
detail_payload: dict[str, Any],
vehicle_url: str | None = None,
listing_vehicle: FastListingVehicle | None = None,
) -> CarRecord:
inventory_view = detail_payload.get("inventoryView")
if not isinstance(inventory_view, dict):
raise RuntimeError("detail payload missing inventoryView")
attributes = inventory_view.get("attributes")
if not isinstance(attributes, dict):
raise RuntimeError("detail payload missing inventoryView.attributes")
inventory_id = parse_text(attributes.get("Id"))
if not inventory_id and listing_vehicle is not None:
inventory_id = listing_vehicle.inventory_id
if not inventory_id and vehicle_url:
inventory_id = self._inventory_id_from_url(vehicle_url)
if not inventory_id:
raise RuntimeError("missing inventory id")
brand = self._limit_text(parse_text(attributes.get("Make")) or "UNKNOWN", 50)
model = self._build_model_name(parse_text(attributes.get("Model")), parse_text(attributes.get("Series"))) or "UNKNOWN"
model = self._limit_text(model, 50)
year = self._parse_year(attributes.get("Year"))
auction_info = detail_payload.get("auctionInformation")
auction_info = auction_info if isinstance(auction_info, dict) else {}
bidding_info = auction_info.get("biddingInformation")
bidding_info = bidding_info if isinstance(bidding_info, dict) else {}
prebid_info = auction_info.get("prebidInformation")
prebid_info = prebid_info if isinstance(prebid_info, dict) else {}
high_bid = self._first_positive_int(
prebid_info.get("decimalHighBidAmount"),
prebid_info.get("highBidAmount"),
bidding_info.get("highBidAmount"),
)
buy_now = self._first_positive_int(
bidding_info.get("buyNowAmount"),
prebid_info.get("buyNowPrice"),
bidding_info.get("buyNowPrice"),
)
price = high_bid if high_bid is not None else buy_now
image_dimensions = inventory_view.get("imageDimensions")
image_dimensions = image_dimensions if isinstance(image_dimensions, dict) else {}
keys_container = image_dimensions.get("keys")
keys_container = keys_container if isinstance(keys_container, dict) else {}
image_keys = keys_container.get("$values")
image_keys = image_keys if isinstance(image_keys, list) else []
images = [ImageRecord.model_validate(row) for row in build_resizer_images_from_keys(image_keys)]
primary_damage = parse_text(attributes.get("PrimaryDamageDesc"))
secondary_damage = parse_text(attributes.get("SecondaryDamageDesc"))
origin_url = vehicle_url or f"{ORIGIN_URL_BASE}/{inventory_id}"
normalized_origin_id = self._normalize_origin_inventory_id(inventory_id)
origin_id = f"{ORIGIN_PREFIX}{normalized_origin_id}"
return CarRecord(
parser_id=self._generate_parser_id(origin_id),
brand=brand,
model=model,
year=year,
price=price,
currency=self._map_currency(parse_text(attributes.get("Currency")) or (listing_vehicle.currency if listing_vehicle else None)),
mileage=self._parse_non_negative_int(attributes.get("ODOValue")) or 0,
country=self._map_country(inventory_id),
is_sold=self._is_sold(listing_vehicle),
color=self._normalize_color(parse_text(attributes.get("ExteriorColor")) or parse_text(attributes.get("ColorDesc"))),
drive=self._map_drive(parse_text(attributes.get("DriveLineTypeDesc"))),
gearbox=self._map_gearbox(parse_text(attributes.get("Transmission"))),
steering_wheel="LEFT",
body_type=self._map_body_type(parse_text(attributes.get("BodyStyleName")) or parse_text(attributes.get("VehicleClass"))),
engine_volume=self._parse_engine_volume(parse_text(attributes.get("EngineSize")) or parse_text(attributes.get("EngineInformation"))),
selling_type="AUCTION",
one_owner=False,
new_car=False,
is_hidden=not bool(images),
origin="IAAI",
origin_url=origin_url,
origin_id=origin_id,
is_damaged=self._derive_is_damaged(primary_damage=primary_damage, secondary_damage=secondary_damage),
evaluation=parse_text(attributes.get("VehicleGrade")),
non_smoking=True,
rental=False,
repair_history=False,
slug=self._slugify(" ".join(filter(None, [brand, model, str(year or "")]))),
last_seen_at=datetime.now(timezone.utc),
images=images,
)
def payload_to_summary(self, detail_payload: dict[str, Any], vehicle_url: str) -> dict[str, Any]:
inventory_view = detail_payload.get("inventoryView") if isinstance(detail_payload, dict) else {}
inventory_view = inventory_view if isinstance(inventory_view, dict) else {}
attr = inventory_view.get("attributes")
attr = attr if isinstance(attr, dict) else {}
auction_info = detail_payload.get("auctionInformation") if isinstance(detail_payload, dict) else {}
auction_info = auction_info if isinstance(auction_info, dict) else {}
bidding_info = auction_info.get("biddingInformation")
bidding_info = bidding_info if isinstance(bidding_info, dict) else {}
prebid_info = auction_info.get("prebidInformation")
prebid_info = prebid_info if isinstance(prebid_info, dict) else {}
image_dimensions = inventory_view.get("imageDimensions")
image_dimensions = image_dimensions if isinstance(image_dimensions, dict) else {}
keys_container = image_dimensions.get("keys")
keys_container = keys_container if isinstance(keys_container, dict) else {}
image_keys = keys_container.get("$values")
image_keys = image_keys if isinstance(image_keys, list) else []
image_urls = [str(row["fullres_image"]) for row in build_resizer_images_from_keys(image_keys)]
return {
"source_url": vehicle_url,
"lot_number": attr.get("Id") or attr.get("StockNumber") or attr.get("SalvageId"),
"year": attr.get("Year"),
"make": attr.get("Make"),
"model": attr.get("Model"),
"trim": attr.get("Series"),
"body_type": attr.get("BodyStyleName"),
"drive": attr.get("DriveLineTypeDesc"),
"engine": attr.get("EngineInformation") or attr.get("EngineSize"),
"fuel_type": attr.get("FuelTypeCode"),
"gearbox": attr.get("Transmission"),
"color": attr.get("ExteriorColor"),
"primary_damage": attr.get("PrimaryDamageDesc"),
"secondary_damage": attr.get("SecondaryDamageDesc"),
"odometer": attr.get("ODOValue"),
"location": attr.get("BranchName"),
"auction_date": attr.get("AuctionDateTime"),
"title": attr.get("Title"),
"current_bid": prebid_info.get("highBidAmount") or bidding_info.get("highBidAmount"),
"buy_now": prebid_info.get("buyNowPrice") or bidding_info.get("buyNowPrice"),
"actual_cash_value": attr.get("ProviderACV"),
"estimated_repair_cost": attr.get("EstRepairCost"),
"image_urls": image_urls,
}
@staticmethod
def _inventory_id_from_url(vehicle_url: str) -> str | None:
tail = urlparse(vehicle_url).path.rstrip("/").split("/")[-1]
return tail or None
@staticmethod
def _normalize_origin_inventory_id(inventory_id: str) -> str:
return inventory_id.strip().split("~", 1)[0]
@staticmethod
def _build_model_name(model: str | None, series: str | None) -> str:
unique_parts: list[str] = []
seen: set[str] = set()
for value in (model, series):
if not value:
continue
normalized = " ".join(value.split())
key = normalized.casefold()
if key in seen:
continue
seen.add(key)
unique_parts.append(normalized)
return " ".join(unique_parts).strip()
@staticmethod
def _parse_year(value: Any) -> int | None:
parsed = parse_int(value)
if parsed is None or parsed < 1900 or parsed > 2100:
return None
return parsed
@staticmethod
def _parse_non_negative_int(value: Any) -> int | None:
parsed = parse_int(value)
if parsed is None or parsed < 0:
return None
return parsed
@classmethod
def _first_positive_int(cls, *values: Any) -> int | None:
for value in values:
parsed = cls._parse_non_negative_int(value)
if parsed is not None and parsed > 0:
return parsed
return None
@staticmethod
def _normalize_color(value: str | None) -> str:
if not value:
return "other"
normalized = value.strip().lower()
if "/" in normalized:
normalized = normalized.split("/", 1)[0].strip()
return normalized or "other"
@staticmethod
def _map_currency(value: str | None) -> str:
normalized = (value or "USD").strip().upper()
return normalized if normalized in {"USD", "CAD", "EUR", "JPY", "RUB", "KRW", "AED", "GBP"} else "USD"
@staticmethod
def _map_country(inventory_id: str) -> str:
upper_id = inventory_id.strip().upper()
if upper_id.endswith("~CA"):
return "CA"
if upper_id.endswith("~US"):
return "US"
return "NA"
@staticmethod
def _map_drive(value: str | None) -> str | None:
if not value:
return None
normalized = value.strip().lower()
candidates: tuple[str, ...] | None = None
if "front" in normalized or normalized == "fwd":
candidates = ("FWD",)
elif "all wheel" in normalized or "4x4" in normalized or normalized == "awd" or "four wheel" in normalized:
candidates = ("4WD", "FOUR_WD")
elif "rear" in normalized or normalized == "rwd":
candidates = ("RWD",)
elif "2wd" in normalized or "two wheel" in normalized:
candidates = ("2WD", "TWO_WD")
elif "unknown" in normalized or normalized in {"na", "n/a"}:
candidates = ("NA",)
return FastCarMapper._select_allowed(candidates, DRIVE_ENUM_VALUES) if candidates else None
@staticmethod
def _map_gearbox(value: str | None) -> str | None:
if not value:
return None
normalized = value.strip().lower()
candidates: tuple[str, ...] | None = None
if "cvt" in normalized:
candidates = ("CVT",)
elif "manual" in normalized or normalized == "mt":
candidates = ("MT",)
elif "electric" in normalized or normalized == "ev":
candidates = ("EV",)
elif "auto" in normalized or normalized == "at":
candidates = ("AT",)
elif "unknown" in normalized or normalized in {"na", "n/a"}:
candidates = ("NA",)
return FastCarMapper._select_allowed(candidates, GEARBOX_ENUM_VALUES) if candidates else None
@staticmethod
def _map_body_type(value: str | None) -> str:
if not value:
return "OTHER"
normalized = value.strip().lower()
candidates: tuple[str, ...] | None = None
if "sedan" in normalized:
candidates = ("SEDAN",)
elif "sport utility" in normalized or normalized == "suv" or "crossover" in normalized:
candidates = ("SUV",)
elif "hatch" in normalized:
candidates = ("HATCHBACK",)
elif "wagon" in normalized:
candidates = ("STATION_WAGON", "Station Wagon")
elif "coupe" in normalized:
candidates = ("COUPE",)
elif "pickup" in normalized or ("crew" in normalized and "cab" in normalized):
candidates = ("PICKUP", "Pickup")
elif "convertible" in normalized or "roadster" in normalized or "cabrio" in normalized:
candidates = ("OPEN", "Open")
elif "van" in normalized:
candidates = ("MINIVAN",)
elif "truck" in normalized or "chassis" in normalized:
candidates = ("TRUCK", "Truck")
elif "rv" in normalized or "motorized" in normalized:
candidates = ("RV",)
elif normalized in {"other", "unknown"}:
candidates = ("OTHER", "Other")
return FastCarMapper._select_allowed(candidates, BODY_TYPE_ENUM_VALUES, fallback="OTHER") or "OTHER"
@staticmethod
def _parse_engine_volume(value: str | None) -> int | None:
if not value:
return None
match = re.search(r"(\d+(?:\.\d+)?)\s*[lL]\b", value)
if not match:
return None
try:
liters = float(match.group(1))
except ValueError:
return None
cc = int(round(liters * 1000))
if cc <= 0 or cc > 10000:
return None
return cc
@staticmethod
def _derive_is_damaged(*, primary_damage: str | None, secondary_damage: str | None) -> bool:
neutral = {item.replace(" ", "").strip().upper() for item in DAMAGE_NEUTRAL_VALUES}
for value in (primary_damage, secondary_damage):
if not value:
continue
normalized = value.replace(" ", "").strip().upper()
if normalized and normalized not in neutral:
return True
return False
@staticmethod
def _is_sold(listing_vehicle: FastListingVehicle | None) -> bool:
if listing_vehicle is None:
return False
if listing_vehicle.timed_auction_closed:
return True
status = (listing_vehicle.inventory_status or "").strip().upper()
return status in INACTIVE_STATUS_VALUES
@staticmethod
def _select_allowed(candidates: tuple[str, ...] | None, allowed: tuple[str, ...], fallback: str | None = None) -> str | None:
if not candidates:
return fallback if fallback in allowed else None
allowed_set = set(allowed)
for candidate in candidates:
if candidate in allowed_set:
return candidate
return fallback if fallback in allowed_set else None
@staticmethod
def _limit_text(value: str, max_length: int) -> str:
return value if len(value) <= max_length else value[:max_length].rstrip()
@staticmethod
def _slugify(value: str) -> str:
return re.sub(r"[^a-z0-9]+", "-", value.lower()).strip("-") or "car"
@staticmethod
def _generate_parser_id(origin_id: str) -> str:
import hashlib
from string import ascii_letters, digits
digest = hashlib.sha256(origin_id.encode()).digest()
alphabet = ascii_letters + digits
base = len(alphabet)
num = int.from_bytes(digest[:17], "big")
chars: list[str] = []
for _ in range(22):
num, idx = divmod(num, base)
chars.append(alphabet[idx])
return "car-" + "".join(chars)

View File

@@ -22,6 +22,7 @@ from playwright.sync_api import Error as PlaywrightError
from playwright.sync_api import BrowserContext, Page, sync_playwright
from playwright.sync_api import TimeoutError as PlaywrightTimeoutError
from .browser.fast_client import DETAIL_MARKER, IAAIFastClient, is_challenge_response, parse_product_details_vm
from .browser import BrowserFactory, HumanPacer, NetworkCapture
from .core.config import Settings, settings, parse_listing_segments
from .core.exceptions import AntiBotDetectedError, ListingResumeError, SiteStructureChangedError
@@ -29,6 +30,8 @@ from .core.logs import set_trace_id, setup_logging
from .core.retry import retryable
from .core.runtime_config import RuntimeConfig
from .core.utils import save_to_json
from .fast_sync import FastSyncEngine
from .parsing.fast_mapper import FastCarMapper
from .parsing.mapper import CarMapper
from .parsing.parser import VehicleParser
from .storage.db import PersistenceService
@@ -205,6 +208,8 @@ class IAAIScraper:
self.pacer = HumanPacer(self.settings)
self.listing_collector = ListingCollector(self.settings, self.pacer)
self.vehicle_parser = VehicleParser()
self.fast_client = IAAIFastClient(self.settings)
self.fast_mapper = FastCarMapper()
self.car_mapper = CarMapper()
self.persistence = PersistenceService(self.settings)
self._shutdown_requested = False
@@ -259,6 +264,8 @@ class IAAIScraper:
pass
def __enter__(self) -> "IAAIScraper":
if self.settings.scraping_profile.http_first and not self.settings.scraping_profile.browser_fallback_enabled:
return self
if self.playwright is None:
self.playwright = sync_playwright().start()
if self.browser is None:
@@ -549,6 +556,33 @@ class IAAIScraper:
known_origin_ids: set[str] | None = None,
max_duration_seconds: float | None = None,
):
try:
max_pages = self.settings.listing.max_pages_per_run
vehicles = list(self.fast_client.iter_listing_vehicles(make=make, max_pages=max_pages))
vehicle_urls = [f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}" for vehicle in vehicles]
if model:
model_key = model.casefold()
vehicle_urls = [url for url in vehicle_urls if model_key in url.casefold()]
if known_origin_ids:
filtered_urls = []
for url in vehicle_urls:
origin_id = self._extract_db_origin_id_from_url(url)
if origin_id and origin_id in known_origin_ids:
continue
filtered_urls.append(url)
vehicle_urls = filtered_urls
return {
"status": "ok",
"mode": "fast_hidden_payload",
"vehicle_urls": vehicle_urls,
"vehicles_collected": len(vehicle_urls),
"pages": [],
"early_stopped": False,
"truncated_by_time_budget": False,
}
except Exception as exc:
logger.warning("Fast listing collection failed, falling back to browser listing: %s", exc)
page = self._get_page_with_warmup()
try:
@@ -1179,12 +1213,47 @@ class IAAIScraper:
@retryable(max_attempts=3, jitter_seconds=0.25)
def scrape_vehicle_detail(self, vehicle_url: str):
try:
return self._scrape_vehicle_detail_fast(vehicle_url)
except Exception as exc:
logger.warning("Fast detail scrape failed for %s, falling back to browser: %s", vehicle_url, exc)
page = self._get_page()
try:
return self._scrape_on_page(page, vehicle_url)
finally:
page.close()
def _scrape_vehicle_detail_fast(self, vehicle_url: str) -> dict[str, Any]:
trace_id = self._new_trace_id("scrape-fast")
started_at = time.perf_counter()
origin_id = self._extract_origin_id_from_url(vehicle_url)
if not origin_id:
raise RuntimeError(f"Could not extract IAAI inventory id from URL: {vehicle_url}")
detail_payload = self.fast_client.fetch_vehicle_detail_payload(origin_id)
db_record = self.fast_mapper.map_payload_to_record(
detail_payload=detail_payload,
vehicle_url=self._normalize_vehicle_url(vehicle_url),
)
vehicle_summary = self.fast_mapper.payload_to_summary(detail_payload, vehicle_url)
if not (vehicle_summary.get("make") or vehicle_summary.get("lot_number")):
raise SiteStructureChangedError(f"ProductDetailsVM returned no vehicle identity for {vehicle_url}")
return {
"trace_id": trace_id,
"source_url": vehicle_url,
"fetched_at_epoch": int(time.time()),
"elapsed_seconds": round(time.perf_counter() - started_at, 3),
"network": {"requests": [], "json_responses": [], "capture_limits": {}},
"vehicle_summary": vehicle_summary,
"payload_insights": {"source": "ProductDetailsVM"},
"embedded_json": [detail_payload],
"dom_hints": {"has_captcha_text": False, "has_antibot_text": False},
"access_notes": {"mode": "fast_hidden_payload"},
"db_record": db_record.model_dump(mode="json"),
}
_JS_EXTRACT = """
() => {
try {
@@ -1404,6 +1473,14 @@ class IAAIScraper:
Использует json.JSONDecoder.raw_decode для быстрого поиска JSON
вместо посимвольного сканирования скобок.
"""
try:
payload = parse_product_details_vm(html)
db_record = IAAIScraper._fast_payload_to_js_data(payload)
if db_record:
return db_record
except Exception:
pass
search = "inventoryView"
pos = html.find(search)
if pos < 0:
@@ -1481,6 +1558,61 @@ class IAAIScraper:
"imageKeys": img_keys,
}
@staticmethod
def _fast_payload_to_js_data(payload: dict[str, Any]) -> dict[str, Any] | None:
inventory_view = payload.get("inventoryView") if isinstance(payload, dict) else None
if not isinstance(inventory_view, dict):
return None
attr = inventory_view.get("attributes")
if not isinstance(attr, dict):
return None
image_dimensions = inventory_view.get("imageDimensions")
image_dimensions = image_dimensions if isinstance(image_dimensions, dict) else {}
keys_container = image_dimensions.get("keys")
keys_container = keys_container if isinstance(keys_container, dict) else {}
image_keys = keys_container.get("$values")
image_keys = image_keys if isinstance(image_keys, list) else []
auction_info = payload.get("auctionInformation")
auction_info = auction_info if isinstance(auction_info, dict) else {}
bid = auction_info.get("biddingInformation")
bid = bid if isinstance(bid, dict) else {}
prebid = auction_info.get("prebidInformation")
prebid = prebid if isinstance(prebid, dict) else {}
return {
"ok": True,
"SalvageId": attr.get("SalvageId", ""),
"StockNumber": attr.get("Id") or attr.get("StockNumber", ""),
"Year": attr.get("Year", ""),
"Make": attr.get("Make", ""),
"Model": attr.get("Model", ""),
"Series": attr.get("Series", ""),
"BodyStyleName": attr.get("BodyStyleName", ""),
"Cylinders": attr.get("Cylinders", ""),
"DriveLineTypeDesc": attr.get("DriveLineTypeDesc", ""),
"EngineSize": (attr.get("EngineInformation") or attr.get("EngineSize") or "").strip(),
"FuelTypeCode": attr.get("FuelTypeCode", ""),
"Transmission": attr.get("Transmission", ""),
"ExteriorColor": attr.get("ExteriorColor", ""),
"PrimaryDamageDesc": attr.get("PrimaryDamageDesc", ""),
"SecondaryDamageDesc": attr.get("SecondaryDamageDesc", ""),
"ODOValue": attr.get("ODOValue", ""),
"ODOBrand": attr.get("ODOBrand", ""),
"RunAndDrive": attr.get("RunAndDrive", ""),
"Keys": attr.get("Keys", ""),
"BranchName": attr.get("BranchName", ""),
"AuctionDateTime": attr.get("AuctionDateTime", ""),
"Title": attr.get("Title", ""),
"TitleBrand": attr.get("TitleBrand", ""),
"TitleCode": attr.get("TitleCode", ""),
"EstRepairCost": attr.get("EstRepairCost", ""),
"VehicleGrade": attr.get("VehicleGrade", ""),
"highBidAmount": prebid.get("highBidAmount") or bid.get("highBidAmount", ""),
"buyNowPrice": prebid.get("buyNowPrice") or bid.get("buyNowPrice", ""),
"acv": attr.get("ProviderACV", ""),
"BranchNumber": attr.get("BranchNumber", ""),
"imageKeys": [item.get("k", "") for item in image_keys if isinstance(item, dict) and item.get("k")],
}
def _scrape_via_context_request(self, vehicle_url: str) -> CarRecord:
if not self.context:
self._new_context()
@@ -1558,6 +1690,8 @@ class IAAIScraper:
if response.status >= 400:
raise RuntimeError(f"HTTP fetch failed for {vehicle_url}: {response.status}")
html = response.data.decode("utf-8", errors="ignore")
if is_challenge_response(status_code=int(response.status), body_text=html, expected_marker=DETAIL_MARKER):
raise AntiBotDetectedError(f"IAAI challenge detected for {vehicle_url}")
js_data = self._extract_iaai_json_from_html(html, vehicle_url)
if not js_data:
@@ -1937,7 +2071,7 @@ class IAAIScraper:
)
# ── Фаза 2: браузерный fallback ──
if fallback_urls:
if fallback_urls and self.settings.scraping_profile.browser_fallback_enabled:
logger.info(
"Fallback browser mode: %d/%d URLs, single page",
len(fallback_urls), total,
@@ -1966,6 +2100,10 @@ class IAAIScraper:
batch_failures=cars_failed + len(failures),
protection_events=protection_events,
)
elif fallback_urls:
cars_failed += len(fallback_urls)
failures.extend({"vehicle_url": url, "error": "HTTP fast-path failed; browser fallback disabled"} for url, _ in fallback_urls)
logger.warning("Browser fallback disabled by profile; %d URLs marked failed", len(fallback_urls))
# ── Фаза 2.5: пост-фильтр по runtime_config ──
filters_cfg = self.runtime_config.filters
@@ -2034,6 +2172,7 @@ class IAAIScraper:
except Exception as exc:
logger.error("Batch upsert failed: %s", exc)
cars_failed += len(records)
failures.append({"vehicle_url": "db_batch", "error": str(exc)})
self._report_progress(
"sync_batch_db_upsert_failed",
batch_total=total,
@@ -2095,6 +2234,8 @@ class IAAIScraper:
only_new = rc.only_new
if lane == "iaai_cars" and rc.lane is not None:
lane = rc.lane
if listing_url is None and rc.name:
listing_url = rc.name
trace_id = self._new_trace_id("sync-listing")
started_at = time.perf_counter()
@@ -2110,25 +2251,57 @@ class IAAIScraper:
is_partial_scan = True
failures: list[dict[str, str]] = []
listing: dict = {}
stream_result: dict[str, Any] = {}
try:
effective_only_new = self.settings.sync_only_new if only_new is None else only_new
stream_result = self._sync_listing_streaming(
make=make,
model=model,
lane=lane,
limit=limit,
effective_only_new=effective_only_new,
started_at=started_at,
listing_url=listing_url,
year_min=year_min,
year_max=year_max,
)
if self.settings.scraping_profile.http_first:
if year_min is not None or year_max is not None:
logger.warning(
"Fast HTTP-first profile ignores year split %s-%s and uses iaai-fast hidden-payload flow",
year_min,
year_max,
)
if listing_url:
logger.info("sync_listing uses explicit listing_url from runtime/args: %s", listing_url)
fast_engine = FastSyncEngine(
client=self.fast_client,
mapper=self.fast_mapper,
persistence=self.persistence,
batch_size=self.settings.celery.batch_size,
fetch_concurrency=self.settings.fetch_concurrency,
report_progress=self._report_progress,
)
stream_result = fast_engine.sync_listing(
runtime_config=self.runtime_config,
make=make,
model=model,
lane=lane,
limit=limit,
only_new=effective_only_new,
listing_url=listing_url,
max_pages=self.settings.listing.max_pages_per_run,
skip_mark_sold=skip_mark_sold,
)
else:
# Stable profile keeps the legacy browser streaming path.
stream_result = self._sync_listing_streaming(
make=make,
model=model,
lane=lane,
limit=limit,
effective_only_new=effective_only_new,
started_at=started_at,
listing_url=listing_url,
year_min=year_min,
year_max=year_max,
)
listing = stream_result["listing"]
total = stream_result["total"]
skipped_existing = stream_result["skipped_existing"]
cars_upserted = stream_result["cars_upserted"]
cars_failed = stream_result["cars_failed"]
cars_filtered = int(stream_result.get("cars_filtered", 0))
images_upserted = stream_result["images_upserted"]
protection_events = int(stream_result.get("protection_events", 0))
failures.extend(stream_result["failures"])
@@ -2138,10 +2311,13 @@ class IAAIScraper:
# Помечаем проданные авто, исчезнувшие из листинга (только при полном скане).
is_partial_scan = (
effective_only_new
or (limit is not None and limit > 0)
(limit is not None and limit > 0)
or make is not None
or model is not None
or listing_url is not None
or listing.get("early_stopped", False)
or listing.get("truncated_by_time_budget", False)
or bool(stream_result.get("full_scan_completed") is False)
)
if skip_mark_sold:
logger.debug("Skipping mark_sold: caller requested")
@@ -2153,8 +2329,8 @@ class IAAIScraper:
except Exception as exc:
logger.warning("Failed to mark sold cars: %s", exc)
elif is_partial_scan:
logger.debug("Skipping mark_sold: partial/incremental scan (only_new=%s, limit=%s, early_stopped=%s)",
effective_only_new, limit, listing.get("early_stopped", False))
logger.debug("Skipping mark_sold: partial scan (only_new=%s, limit=%s, make=%s, model=%s, listing_url=%s, early_stopped=%s)",
effective_only_new, limit, make, model, listing_url, listing.get("early_stopped", False))
except Exception as exc:
if not failures:
failures.append({"vehicle_url": "collect_listing", "error": str(exc)})
@@ -2189,7 +2365,7 @@ class IAAIScraper:
"run_id": run_id,
# partial_success допустим — отдельные машины могли не спарситься,
# это не повод повторять весь bootstrap.
"full_scan_completed": (not is_partial_scan) and status in ("success", "partial_success") and not anti_bot_detected,
"full_scan_completed": bool(stream_result.get("full_scan_completed", (not is_partial_scan) and status in ("success", "partial_success") and not anti_bot_detected)),
"only_new_effective": effective_only_new,
"listing": listing,
"total_discovered": discovered_total,
@@ -2242,7 +2418,7 @@ class IAAIScraper:
# Runtime-фильтры применяются позже (на уровне конкретных карточек),
# но не должны сужать сам обход сегментов.
logger.warning(
logger.info(
"Starting segmented sync: %d segments, resume from segment=%d",
len(segments), start_segment,
)
@@ -2252,19 +2428,25 @@ class IAAIScraper:
seg_make = seg.get("make")
seg_year_min = seg.get("year_min")
seg_year_max = seg.get("year_max")
seg_listing_url = seg.get("listing_url")
# На длительном full-scan сегмент нельзя пропускать из-за runtime include.brands,
# иначе прогон становится частичным.
self._reload_runtime_config()
seg_url = self._build_segment_listing_url(base_url, seg_make) if seg_make else None
if seg_listing_url:
seg_url = str(seg_listing_url)
else:
seg_url = None if self.settings.scraping_profile.http_first else (self._build_segment_listing_url(base_url, seg_make) if seg_make else None)
seg_label = f"{seg_make or 'ALL'}"
if seg_listing_url:
seg_label = "FILTERED_SEARCH"
if seg_year_min is not None or seg_year_max is not None:
seg_label += f" ({seg_year_min}-{seg_year_max})"
logger.warning(
"Segment %d/%d: %s",
logger.debug(
"Segment %d/%d started: %s",
seg_idx + 1, len(segments), seg_label,
)
@@ -2292,7 +2474,7 @@ class IAAIScraper:
segments_total=len(segments),
)
result = self.sync_listing(
make=None if seg_url else seg_make,
make=seg_make,
model=None,
lane=lane,
only_new=only_new,
@@ -2320,8 +2502,9 @@ class IAAIScraper:
# Даже если сегмент завершился неполно (например, страница/пагинация сломалась),
# в bootstrap-режиме не зацикливаемся на нём: двигаем чекпоинт дальше.
if not segment_done:
completed_all = False
skipped_segments += 1
logger.warning(
logger.info(
"Segment %d/%d incomplete: %s — advancing checkpoint and continuing",
seg_idx + 1, len(segments), seg_label,
)
@@ -2337,7 +2520,7 @@ class IAAIScraper:
seg_idx, exc_info=True,
)
logger.warning(
logger.info(
"Segment %d/%d done: %s → upserted=%d, failed=%d, collected=%d",
seg_idx + 1, len(segments), seg_label,
result.get("cars_upserted", 0),
@@ -2354,6 +2537,7 @@ class IAAIScraper:
)
except Exception as exc:
logger.error("Segment %d/%d failed: %s%s", seg_idx + 1, len(segments), seg_label, exc)
completed_all = False
all_failures.append({"vehicle_url": f"segment_{seg_idx}_{seg_label}", "error": str(exc)})
skipped_segments += 1
segment_results.append({
@@ -2388,7 +2572,7 @@ class IAAIScraper:
elapsed = round(time.perf_counter() - started_at, 3)
status = "success" if not all_failures else "partial_success" if total_cars_upserted else "failed"
logger.warning(
logger.info(
"Segmented sync done: %d/%d segments, upserted=%d, failed=%d, discovered=%d, elapsed=%.1fs",
len(segment_results), len(segments),
total_cars_upserted, total_cars_failed, total_discovered, elapsed,

View File

@@ -1,7 +1,9 @@
# Инициализация Celery-приложения и периодических задач.
import json
import logging
import os
import time
from celery import Celery
from celery.signals import worker_process_init, worker_ready, setup_logging as celery_setup_logging
@@ -13,6 +15,10 @@ from ..core.logs import setup_logging
logger = logging.getLogger("iaai_scraper.worker.celery_app")
STARTUP_SYNC_DISPATCH_KEY = "iaai:state:startup_sync_dispatched"
IAAI_SYNC_QUEUE = "iaai_sync"
PROGRESS_KEY_PREFIX = "iaai:state:task_progress:"
SYNC_LISTING_LOCK_KEY = "iaai:locks:sync_listing"
SYNC_FULL_SCAN_DONE_KEY = "iaai:state:sync_full_scan_done"
SYNC_LAST_COMPLETED_AT_KEY = "iaai:state:sync_listing_last_completed_at"
def _env_bool(name: str, default: bool) -> bool:
@@ -20,6 +26,46 @@ def _env_bool(name: str, default: bool) -> bool:
return raw in {"1", "true", "yes", "on"}
def _has_fresh_active_progress(redis_client: Redis, *, max_age_seconds: int = 180) -> bool:
now = int(time.time())
try:
for raw_key in redis_client.scan_iter(f"{PROGRESS_KEY_PREFIX}*"):
payload = redis_client.get(raw_key)
if not payload:
continue
try:
progress = json.loads(payload)
except (TypeError, ValueError):
continue
ts = int(progress.get("ts") or 0)
stage = str(progress.get("stage") or "")
if ts > 0 and now - ts <= max_age_seconds and stage not in {"segment_done", "sync_done", "failed"}:
return True
except Exception:
logger.warning("Failed to inspect startup progress keys", exc_info=True)
return False
def _seconds_until_next_allowed_sync(redis_client: Redis) -> int:
"""Запрещает новый автозапуск раньше чем через интервал beat после завершения полного run."""
min_interval = max(0, int(settings.celery.beat_sync_interval_minutes * 60))
if min_interval <= 0:
return 0
try:
full_done = str(redis_client.get(SYNC_FULL_SCAN_DONE_KEY) or "").strip().lower() in {"1", "true", "yes", "on"}
if not full_done:
return 0
completed_raw = redis_client.get(SYNC_LAST_COMPLETED_AT_KEY)
if not completed_raw:
return 0
completed_at = int(float(completed_raw))
except Exception:
logger.warning("Failed to inspect last sync completion timestamp", exc_info=True)
return 0
elapsed = int(time.time()) - completed_at
return max(0, min_interval - elapsed)
@celery_setup_logging.connect
def _configure_logging(loglevel=None, **kwargs):
# Перехватываем логирование Celery и пишем только в stderr (Docker logs).
@@ -55,7 +101,7 @@ _soft = settings.celery.task_soft_time_limit
_hard = settings.celery.task_time_limit
_max_hard = _soft + 120 if _soft else _hard
if _hard > _max_hard:
logger.warning(
logger.info(
"CELERY_TASK_TIME_LIMIT=%d too far from CELERY_TASK_SOFT_TIME_LIMIT=%d; "
"clamping hard limit to %d",
_hard, _soft, _max_hard,
@@ -75,7 +121,7 @@ celery_app.conf.update(
task_track_started=True,
worker_concurrency=settings.celery.worker_concurrency,
worker_max_tasks_per_child=settings.celery.worker_max_tasks_per_child,
worker_pool="solo",
worker_pool=settings.celery.worker_pool,
worker_prefetch_multiplier=1,
broker_connection_retry_on_startup=True,
broker_transport_options={
@@ -89,7 +135,7 @@ celery_app.conf.update(
"task": "iaai.sync_cars_feed",
"schedule": settings.celery.beat_sync_interval_minutes * 60.0,
"args": (),
"kwargs": {"limit": settings.celery.beat_sync_limit, "only_new": True},
"kwargs": {"limit": settings.celery.beat_sync_limit, "only_new": False},
"options": {
"queue": IAAI_SYNC_QUEUE,
"expires": settings.celery.beat_sync_interval_minutes * 60.0,
@@ -123,14 +169,25 @@ def _on_worker_ready(**kwargs):
retry_on_timeout=True,
)
for stale_key in ("iaai:locks:sync_listing",):
has_fresh_progress = _has_fresh_active_progress(redis_client)
next_allowed_delay = _seconds_until_next_allowed_sync(redis_client)
if next_allowed_delay > 0:
logger.info(
"Worker ready: last full sync finished recently; next auto sync allowed in %ss, skip startup dispatch",
next_allowed_delay,
)
return
for stale_key in (SYNC_LISTING_LOCK_KEY,):
try:
ttl = redis_client.ttl(stale_key)
if ttl is not None and ttl != -2:
if ttl is not None and ttl != -2 and not has_fresh_progress:
redis_client.delete(stale_key)
logger.warning("Cleared stale lock on startup: %s (ttl was %s)", stale_key, ttl)
logger.info("Cleared stale lock on startup: %s (ttl was %s)", stale_key, ttl)
elif ttl is not None and ttl != -2:
logger.info("Keeping sync lock on startup because fresh active progress exists: %s (ttl=%s)", stale_key, ttl)
except Exception:
logger.warning("Failed to clear stale lock %s on startup", stale_key, exc_info=True)
logger.warning("Failed to inspect stale lock %s on startup", stale_key, exc_info=True)
try:
queue_len = int(redis_client.llen(IAAI_SYNC_QUEUE) or 0)
@@ -141,6 +198,11 @@ def _on_worker_ready(**kwargs):
return
should_dispatch = bool(redis_client.set(STARTUP_SYNC_DISPATCH_KEY, "1", nx=True, ex=600))
if not should_dispatch and not has_fresh_progress:
redis_client.delete(STARTUP_SYNC_DISPATCH_KEY)
should_dispatch = bool(redis_client.set(STARTUP_SYNC_DISPATCH_KEY, "1", nx=True, ex=600))
if should_dispatch:
logger.info("Worker ready: stale startup dedupe key ignored because queue is empty and no fresh active progress exists")
except Exception:
logger.warning("Worker ready startup sync dedupe check failed; skipping immediate dispatch", exc_info=True)
return

View File

@@ -0,0 +1,479 @@
from __future__ import annotations
import concurrent.futures
import logging
import random
import time
from dataclasses import dataclass
from typing import Any, Callable
from .browser.fast_client import FastListingVehicle, IAAIFastClient
from .core.runtime_config import RuntimeConfig
from .parsing.fast_mapper import INACTIVE_STATUS_VALUES, FastCarMapper
from .storage.db import PersistenceService
from .storage.schemas import CarRecord
logger = logging.getLogger("iaai_scraper.fast_sync")
@dataclass(slots=True)
class FastSyncStats:
ids_fetched: int = 0
cars_upserted: int = 0
cars_failed: int = 0
cars_filtered: int = 0
images_upserted: int = 0
skipped_existing: int = 0
protection_events: int = 0
def passes_condition_check(row: FastListingVehicle) -> bool:
if row.timed_auction_closed:
return False
status = (row.inventory_status or "").strip().upper()
return status not in INACTIVE_STATUS_VALUES
class FastSyncEngine:
"""Full iaai-fast style sync pipeline adapted to this project's storage.
Flow: hidden listing payloads -> concurrent ProductDetailsVM HTTP fetch ->
CarRecord preparation in memory -> single batch DB upsert. Browser is used
only inside IAAIFastClient to refresh cookies when IAAI challenge appears.
"""
def __init__(
self,
*,
client: IAAIFastClient,
mapper: FastCarMapper,
persistence: PersistenceService,
batch_size: int,
fetch_concurrency: int,
report_progress: Callable[[str, Any], None] | None = None,
) -> None:
self.client = client
self.mapper = mapper
self.persistence = persistence
self.batch_size = max(1, int(batch_size))
self.fetch_concurrency = max(1, int(fetch_concurrency))
self.report_progress = report_progress
@staticmethod
def _is_transient_detail_error(exc: Exception) -> bool:
text = str(exc).lower()
return any(
marker in text
for marker in (
"sslerror",
"ssleoferror",
"unexpected_eof_while_reading",
"eof occurred in violation of protocol",
"max retries exceeded",
"read timed out",
"readtimeout",
"connection reset",
"connection aborted",
"connection closed",
"temporarily unavailable",
"too many requests",
"status=429",
"status=500",
"status=502",
"status=503",
"status=504",
)
)
def sync_listing(
self,
*,
runtime_config: RuntimeConfig,
make: str | None = None,
model: str | None = None,
lane: str = "iaai_cars",
limit: int | None = None,
only_new: bool = False,
listing_url: str | None = None,
max_pages: int | None = None,
skip_mark_sold: bool = False,
) -> dict[str, Any]:
del lane
started_at = time.perf_counter()
stats = FastSyncStats()
errors: list[dict[str, str]] = []
selected: dict[str, FastListingVehicle] = {}
rows_seen = 0
rows_skipped_condition = 0
filters = runtime_config.filters
logger.info(
"Fast HTTP-first listing started: make=%s listing_url=%s max_pages=%s concurrency=%s batch_size=%s",
make or "ALL",
listing_url or "default",
max_pages,
self.fetch_concurrency,
self.batch_size,
)
for vehicle in self.client.iter_listing_vehicles(
listing_start_url=listing_url,
make=make,
max_pages=max_pages,
):
rows_seen += 1
if runtime_config.sync.condition_check_enabled and not passes_condition_check(vehicle):
rows_skipped_condition += 1
continue
if vehicle.inventory_id in selected:
continue
selected[vehicle.inventory_id] = vehicle
if limit is not None and limit > 0 and len(selected) >= limit:
break
candidates = list(selected.values())
all_listing_origin_urls = {f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in candidates}
if only_new and candidates:
origin_urls = [f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in candidates]
origin_ids = [f"iaai:{v.inventory_id}" for v in candidates]
existing_urls, existing_ids = self.persistence.get_existing_urls_and_ids(origin_urls, origin_ids)
fresh: list[FastListingVehicle] = []
for vehicle in candidates:
if f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}" in existing_urls or f"iaai:{vehicle.inventory_id}" in existing_ids:
stats.skipped_existing += 1
continue
fresh.append(vehicle)
candidates = fresh
self._progress(
"fast_listing_collected",
rows_seen=rows_seen,
rows_filtered_condition=rows_skipped_condition,
rows_selected=len(candidates),
skipped_existing=stats.skipped_existing,
)
logger.info(
"Fast HTTP-first listing collected: rows_seen=%d selected=%d skipped_existing=%d filtered_condition=%d only_new=%s",
rows_seen,
len(candidates),
stats.skipped_existing,
rows_skipped_condition,
only_new,
)
scan_completed = not (limit is not None and limit > 0) and not errors
if not candidates:
return self._result(
started_at=started_at,
stats=stats,
failures=errors,
listing={
"mode": "fast_hidden_payload",
"vehicles_collected": 0,
"vehicle_urls": [],
"early_stopped": False,
"truncated_by_time_budget": False,
"rows_seen": rows_seen,
"rows_filtered_condition": rows_skipped_condition,
},
all_listing_origin_urls=all_listing_origin_urls,
full_scan_completed=scan_completed,
)
prepared_rows: list[CarRecord] = []
db_processed = 0
retry_candidates: list[FastListingVehicle] = []
transient_failure_log_count = 0
started_details = time.perf_counter()
with concurrent.futures.ThreadPoolExecutor(max_workers=min(self.fetch_concurrency, len(candidates))) as executor:
future_to_vehicle = {
executor.submit(self._fetch_detail_payload, vehicle.inventory_id): vehicle
for vehicle in candidates
}
for index, future in enumerate(concurrent.futures.as_completed(future_to_vehicle), start=1):
vehicle = future_to_vehicle[future]
try:
payload = future.result()
record = self.mapper.map_payload_to_record(
detail_payload=payload,
vehicle_url=f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}",
listing_vehicle=vehicle,
)
if model and model.casefold() not in record.model.casefold():
stats.cars_filtered += 1
continue
if not filters.matches({
"brand": record.brand,
"model": record.model,
"year": record.year,
"body_type": record.body_type,
"color": record.color,
"drive": record.drive,
"gearbox": record.gearbox,
"price": record.price,
"mileage": record.mileage,
}):
stats.cars_filtered += 1
continue
prepared_rows.append(record)
stats.ids_fetched += 1
if len(prepared_rows) >= self.batch_size:
db_processed += self._flush_db_records(
rows=prepared_rows,
stats=stats,
errors=errors,
processed=db_processed + len(prepared_rows),
total=len(candidates),
)
prepared_rows.clear()
except Exception as exc:
stats.cars_failed += 1
errors.append({"vehicle_url": f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}", "error": str(exc)})
if _looks_like_protection(exc):
stats.protection_events += 1
if self._is_transient_detail_error(exc):
retry_candidates.append(vehicle)
transient_failure_log_count += 1
if transient_failure_log_count % 100 == 0:
logger.warning(
"Fast detail transient failures queued for retry: count=%d latest_inventory_id=%s",
transient_failure_log_count,
vehicle.inventory_id,
)
else:
logger.exception("Fast detail parse failed inventory_id=%s: %s", vehicle.inventory_id, exc)
if index % 100 == 0 or index == len(candidates):
elapsed = max(0.001, time.perf_counter() - started_details)
if self.client._settings.scraping_profile.verbose_progress_logs:
logger.info(
"Fast HTTP-first details progress: processed=%d/%d ok=%d failed=%d queued_db=%d rate=%.2f/s",
index,
len(candidates),
stats.ids_fetched,
stats.cars_failed,
len(prepared_rows),
index / elapsed,
)
self._progress(
"fast_detail_progress",
processed=index,
total=len(candidates),
ids_fetched=stats.ids_fetched,
cars_failed=stats.cars_failed,
queued_for_db=len(prepared_rows),
throughput=round(index / elapsed, 2),
)
if retry_candidates:
retry_started = time.perf_counter()
retry_workers = max(1, min(8, self.fetch_concurrency // 2, len(retry_candidates)))
retry_errors: list[dict[str, str]] = []
logger.info(
"Fast HTTP-first retrying transient detail failures: total=%d workers=%d",
len(retry_candidates),
retry_workers,
)
with concurrent.futures.ThreadPoolExecutor(max_workers=retry_workers) as executor:
future_to_vehicle = {
executor.submit(self._fetch_detail_payload, vehicle.inventory_id): vehicle
for vehicle in retry_candidates
}
for retry_index, future in enumerate(concurrent.futures.as_completed(future_to_vehicle), start=1):
vehicle = future_to_vehicle[future]
try:
payload = future.result()
record = self.mapper.map_payload_to_record(
detail_payload=payload,
vehicle_url=f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}",
listing_vehicle=vehicle,
)
if model and model.casefold() not in record.model.casefold():
stats.cars_filtered += 1
continue
if not filters.matches({
"brand": record.brand,
"model": record.model,
"year": record.year,
"body_type": record.body_type,
"color": record.color,
"drive": record.drive,
"gearbox": record.gearbox,
"price": record.price,
"mileage": record.mileage,
}):
stats.cars_filtered += 1
continue
prepared_rows.append(record)
stats.ids_fetched += 1
stats.cars_failed = max(0, stats.cars_failed - 1)
if len(prepared_rows) >= self.batch_size:
db_processed += self._flush_db_records(
rows=prepared_rows,
stats=stats,
errors=errors,
processed=db_processed + len(prepared_rows),
total=len(candidates),
)
prepared_rows.clear()
except Exception as exc:
retry_errors.append({
"vehicle_url": f"https://www.iaai.com/VehicleDetail/{vehicle.inventory_id}",
"error": str(exc),
})
if _looks_like_protection(exc):
stats.protection_events += 1
if retry_index % 100 == 0 or retry_index == len(retry_candidates):
elapsed = max(0.001, time.perf_counter() - retry_started)
logger.info(
"Fast HTTP-first retry progress: processed=%d/%d recovered=%d remaining_failed=%d rate=%.2f/s",
retry_index,
len(retry_candidates),
len(retry_candidates) - len(retry_errors),
len(retry_errors),
retry_index / elapsed,
)
transient_urls = {f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in retry_candidates}
errors = [error for error in errors if error.get("vehicle_url") not in transient_urls]
errors.extend(retry_errors)
if prepared_rows:
db_processed += self._flush_db_records(
rows=prepared_rows,
stats=stats,
errors=errors,
processed=db_processed + len(prepared_rows),
total=len(candidates),
)
prepared_rows.clear()
self.client.persist_session_state()
scan_completed = not (limit is not None and limit > 0) and not errors
mark_sold_scope_partial = bool(
(limit is not None and limit > 0)
or make
or model
or listing_url
or only_new
)
if all_listing_origin_urls and not mark_sold_scope_partial and not skip_mark_sold and scan_completed:
try:
sold_count = self.persistence.mark_sold_not_in_listing_by_urls(all_listing_origin_urls, lane="iaai")
except Exception as exc:
sold_count = 0
logger.warning("Fast sold reconcile failed: %s", exc)
else:
sold_count = 0
listing = {
"mode": "fast_hidden_payload",
"vehicles_collected": len(candidates),
"vehicle_urls": [f"https://www.iaai.com/VehicleDetail/{v.inventory_id}" for v in candidates],
"early_stopped": False,
"truncated_by_time_budget": False,
"rows_seen": rows_seen,
"rows_filtered_condition": rows_skipped_condition,
"sold_marked": sold_count,
}
return self._result(
started_at=started_at,
stats=stats,
failures=errors,
listing=listing,
all_listing_origin_urls=all_listing_origin_urls,
full_scan_completed=scan_completed,
)
def _result(
self,
*,
started_at: float,
stats: FastSyncStats,
failures: list[dict[str, str]],
listing: dict[str, Any],
all_listing_origin_urls: set[str],
full_scan_completed: bool,
) -> dict[str, Any]:
status = "success" if not failures else ("partial_success" if stats.cars_upserted else "failed")
total = int(listing.get("vehicles_collected") or 0)
fail_ratio = (stats.cars_failed / total) if total > 0 else 0.0
protection_ratio = (stats.protection_events / total) if total > 0 else 0.0
anti_bot_detected = total > 0 and ((stats.protection_events >= 30 and protection_ratio >= 0.10) or fail_ratio >= 0.30)
return {
"status": status,
"listing": listing,
"total": total,
"total_discovered": total,
"skipped_existing": stats.skipped_existing,
"cars_upserted": stats.cars_upserted,
"cars_failed": stats.cars_failed,
"cars_filtered": stats.cars_filtered,
"images_upserted": stats.images_upserted,
"protection_events": stats.protection_events,
"failures": failures,
"all_listing_origin_urls": all_listing_origin_urls,
"full_scan_completed": full_scan_completed and not anti_bot_detected,
"anti_bot_detected": anti_bot_detected,
"fail_ratio": round(fail_ratio, 4),
"protection_ratio": round(protection_ratio, 4),
"elapsed_seconds": round(time.perf_counter() - started_at, 3),
}
def _progress(self, stage: str, **meta: Any) -> None:
if self.report_progress is None:
return
try:
self.report_progress(stage, **meta)
except Exception:
pass
def _fetch_detail_payload(self, inventory_id: str) -> dict[str, Any]:
jitter = float(self.client._settings.scraping_profile.request_jitter_max_s)
if jitter > 0:
time.sleep(random.uniform(0.0, jitter))
return self.client.fetch_vehicle_detail_payload(inventory_id)
def _flush_db_records(
self,
*,
rows: list[CarRecord],
stats: FastSyncStats,
errors: list[dict[str, str]],
processed: int,
total: int,
) -> int:
if not rows:
return 0
batch = list(rows)
try:
upsert = self.persistence.upsert_cars_batch(batch)
stats.cars_upserted += int(upsert.get("inserted", 0)) + int(upsert.get("updated", 0))
stats.images_upserted += int(upsert.get("images_upserted", 0))
except Exception as exc:
stats.cars_failed += len(batch)
errors.append({"vehicle_url": f"db_batch_{processed - len(batch)}", "error": str(exc)})
logger.exception("Fast DB apply failed processed=%s size=%s: %s", processed, len(batch), exc)
self._progress(
"fast_db_progress",
processed=processed,
total=total,
cars_upserted=stats.cars_upserted,
cars_failed=stats.cars_failed,
images_upserted=stats.images_upserted,
)
logger.info(
"Fast HTTP-first DB batch: processed=%d/%d batch=%d upserted=%d failed=%d images=%d",
processed,
total,
len(batch),
stats.cars_upserted,
stats.cars_failed,
stats.images_upserted,
)
return len(batch)
def _looks_like_protection(exc: Exception) -> bool:
message = str(exc).lower()
return any(token in message for token in ("captcha", "antibot", "challenge", "blocked", "403", "429", "incapsula"))

View File

@@ -10,10 +10,24 @@ from redis import Redis
logger = logging.getLogger("iaai_scraper.worker.self_heal")
IAAI_SYNC_QUEUE = "iaai_sync"
GLOBAL_PROGRESS_TS_KEY = "iaai:state:last_progress_ts"
GLOBAL_DB_PROGRESS_TS_KEY = "iaai:state:last_db_progress_ts"
SELF_HEAL_RESTART_LOCK_KEY = "iaai:state:self_heal_restart_in_progress"
SYNC_LISTING_LOCK_KEY = "iaai:locks:sync_listing"
SYNC_FULL_SCAN_DONE_KEY = "iaai:state:sync_full_scan_done"
SYNC_LISTING_CHECKPOINT_KEY = "iaai:state:sync_listing_checkpoint"
SYNC_LISTING_FOLLOWUP_PENDING_KEY = "iaai:state:sync_listing_followup_pending"
SIGKILL_FALLBACK = getattr(signal, "SIGKILL", signal.SIGTERM)
TERMINAL_PROGRESS_STAGES = {
"segment_done",
"segment_failed",
"segment_task_completed",
"segment_task_failed",
"segment_task_soft_timeout",
"sync_done",
"failed",
}
def _env_bool(name: str, default: bool) -> bool:
@@ -78,18 +92,108 @@ def _read_last_progress_ts(redis_client: Redis) -> int | None:
return max_ts or None
def _read_last_db_progress_ts(redis_client: Redis) -> int | None:
raw = redis_client.get(GLOBAL_DB_PROGRESS_TS_KEY)
if raw:
ts = _safe_int(raw)
if ts > 0:
return ts
max_ts = 0
for key in redis_client.scan_iter(match="iaai:state:task_progress:*"):
try:
payload = redis_client.get(key)
if not payload:
continue
data = json.loads(payload)
if str(data.get("stage") or "") == "fast_db_progress":
ts = _safe_int(data.get("ts"), 0)
else:
ts = _safe_int(data.get("last_db_progress_ts"), 0)
if ts > max_ts:
max_ts = ts
except Exception:
continue
return max_ts or None
def _has_active_recent_progress(redis_client: Redis, now_ts: int, stall_seconds: int) -> bool:
"""Return True when a task is still reporting non-DB progress.
Hourly only_new runs can legitimately skip every listed vehicle as existing.
Those runs may not emit fast_db_progress for a long time, but they still emit
regular listing/segment progress. Treating old DB timestamps as fatal caused
the watchdog to kill healthy production workers during such scans.
"""
for key in redis_client.scan_iter(match="iaai:state:task_progress:*"):
try:
payload = redis_client.get(key)
if not payload:
continue
data = json.loads(payload)
stage = str(data.get("stage") or "")
if stage in {"failed", "sync_done", "segment_task_failed", "segment_task_soft_timeout"}:
continue
ts = _safe_int(data.get("ts"), 0)
if ts > 0 and now_ts - ts <= max(60, int(stall_seconds)):
return True
except Exception:
continue
return False
def _reset_bootstrap_checkpoint_for_db_idle(redis_client: Redis) -> None:
pipe = redis_client.pipeline()
pipe.delete(SYNC_LISTING_CHECKPOINT_KEY)
pipe.delete(SYNC_LISTING_FOLLOWUP_PENDING_KEY)
pipe.delete(GLOBAL_PROGRESS_TS_KEY)
pipe.delete(GLOBAL_DB_PROGRESS_TS_KEY)
pipe.set(SYNC_FULL_SCAN_DONE_KEY, "0")
pipe.execute()
def _has_inflight_work(redis_client: Redis, queue_name: str) -> tuple[bool, dict[str, int]]:
"""Есть ли признаки активной/зависшей работы, даже если очередь пуста."""
queue_len = _safe_int(redis_client.llen(queue_name), 0)
has_lock = 1 if redis_client.get(SYNC_LISTING_LOCK_KEY) else 0
has_task_progress = 0
for _ in redis_client.scan_iter(match="iaai:state:task_progress:*"):
has_task_progress = 1
break
progress_keys_seen = 0
stale_progress_deleted = 0
stale_seconds = max(180, min(_env_int("IAAI_SELF_HEAL_STALL_SECONDS", 720), 1800))
now_ts = int(time.time())
for key in redis_client.scan_iter(match="iaai:state:task_progress:*"):
progress_keys_seen += 1
if queue_len > 0 or has_lock == 1:
has_task_progress = 1
break
try:
payload = redis_client.get(key)
if not payload:
continue
data = json.loads(payload)
stage = str(data.get("stage") or "")
ts = _safe_int(data.get("ts"), 0)
is_terminal = stage in TERMINAL_PROGRESS_STAGES
is_stale = ts <= 0 or now_ts - ts > stale_seconds
if is_terminal or is_stale:
redis_client.delete(key)
stale_progress_deleted += 1
continue
has_task_progress = 1
break
except Exception:
# Битые progress payload не должны держать worker в вечном false-stall цикле.
try:
redis_client.delete(key)
stale_progress_deleted += 1
except Exception:
pass
flags = {
"queue_len": queue_len,
"has_lock": has_lock,
"has_task_progress": has_task_progress,
"progress_keys_seen": progress_keys_seen,
"stale_progress_deleted": stale_progress_deleted,
}
return (queue_len > 0 or has_lock == 1 or has_task_progress == 1), flags
@@ -131,17 +235,19 @@ def main() -> None:
logger.info("Self-heal watchdog disabled via IAAI_SELF_HEAL_ENABLED")
return
queue_name = os.getenv("IAAI_CELERY_QUEUE", "scraping")
queue_name = os.getenv("IAAI_CELERY_QUEUE", IAAI_SYNC_QUEUE)
check_interval = max(5, _env_int("IAAI_SELF_HEAL_CHECK_INTERVAL_SECONDS", 30))
stall_seconds = max(180, _env_int("IAAI_SELF_HEAL_STALL_SECONDS", 720))
db_idle_seconds = max(60, _env_int("IAAI_DB_IDLE_RESTART_SECONDS", 3600))
startup_grace = max(30, _env_int("IAAI_SELF_HEAL_STARTUP_GRACE_SECONDS", 300))
restart_cooldown = max(60, _env_int("IAAI_SELF_HEAL_RESTART_COOLDOWN_SECONDS", 300))
logger.warning(
"Self-heal watchdog enabled: queue=%s check_interval=%ss stall=%ss startup_grace=%ss cooldown=%ss",
logger.info(
"Self-heal watchdog enabled: queue=%s check_interval=%ss stall=%ss db_idle=%ss startup_grace=%ss cooldown=%ss",
queue_name,
check_interval,
stall_seconds,
db_idle_seconds,
startup_grace,
restart_cooldown,
)
@@ -174,9 +280,28 @@ def main() -> None:
)
age = stall_seconds + 1
restart_reason = f"progress_age={age}s > {stall_seconds}s"
db_idle_restart = False
if age <= stall_seconds:
time.sleep(check_interval)
continue
# If the task is actively reporting progress, do not require DB writes.
# Hourly only_new listing scans often skip already-known cars and can
# legitimately have no DB writes while still moving through segments.
if _has_active_recent_progress(redis_client, now_ts, stall_seconds):
time.sleep(check_interval)
continue
last_db_ts = _read_last_db_progress_ts(redis_client)
db_age = None if last_db_ts is None else max(0, now_ts - int(last_db_ts))
if db_age is None:
first_allowed_ts = int(started_at) + max(startup_grace, db_idle_seconds)
if now_ts < first_allowed_ts:
time.sleep(check_interval)
continue
db_age = db_idle_seconds + 1
if db_age <= db_idle_seconds:
time.sleep(check_interval)
continue
db_idle_restart = True
restart_reason = f"db_idle_age={db_age}s > {db_idle_seconds}s"
# Глобальный anti-storm lock: чтобы много воркеров не рестартились одновременно.
acquired = bool(
@@ -192,11 +317,13 @@ def main() -> None:
continue
logger.error(
"Self-heal: detected global stall (inflight=%s, progress_age=%ss > %ss). Restarting worker process...",
"Self-heal: detected stall (inflight=%s, %s). Restarting worker process...",
inflight,
age,
stall_seconds,
restart_reason,
)
if db_idle_restart:
logger.error("Self-heal: no DB writes for too long; clearing checkpoint to restart from segment 1")
_reset_bootstrap_checkpoint_for_db_idle(redis_client)
# Небольшой джиттер, чтобы при одинаковом событии у разных контейнеров
# перезапуск был не строго одновременно.
time.sleep(random.uniform(0.3, 2.0))

View File

@@ -47,6 +47,7 @@ HOURLY_FAILURE_STREAK_LIMIT = 3
HOURLY_FAILURE_STREAK_TTL_SECONDS = 6 * 60 * 60 # сброс через 6 часов
SYNC_LISTING_FOLLOWUP_PENDING_KEY = "iaai:state:sync_listing_followup_pending"
SYNC_LISTING_TASK_NAME = "iaai.sync_cars_feed"
SYNC_LAST_COMPLETED_AT_KEY = "iaai:state:sync_listing_last_completed_at"
SYNC_SEGMENT_LOCK_KEY_FMT = "iaai:locks:sync_segment:{idx}"
SYNC_SEGMENTS_PROGRESS_KEY = "iaai:state:sync_segments_progress"
SYNC_SEGMENTS_TOTAL_KEY = "iaai:state:sync_segments_total"
@@ -744,6 +745,31 @@ def _clear_followup_pending(redis_client: Redis) -> None:
logger.warning("Failed to clear follow-up pending flag", exc_info=True)
def _mark_sync_completed(redis_client: Redis) -> None:
try:
redis_client.set(SYNC_LAST_COMPLETED_AT_KEY, str(int(time.time())), ex=7 * 24 * 60 * 60)
except Exception:
logger.warning("Failed to mark sync completion timestamp", exc_info=True)
def _seconds_until_next_allowed_sync(redis_client: Redis, settings: Settings) -> int:
min_interval = max(0, int(settings.celery.beat_sync_interval_minutes * 60))
if min_interval <= 0:
return 0
try:
if not _is_full_scan_done(redis_client):
return 0
completed_raw = redis_client.get(SYNC_LAST_COMPLETED_AT_KEY)
if not completed_raw:
return 0
completed_at = int(float(completed_raw))
except Exception:
logger.warning("Failed to inspect next allowed sync time", exc_info=True)
return 0
elapsed = int(time.time()) - completed_at
return max(0, min_interval - elapsed)
def _bump_bootstrap_failure_streak(
redis_client: Redis,
*,
@@ -1139,6 +1165,11 @@ def sync_listing_task(
watchdog_stop: Event | None = None
watchdog_thread: Thread | None = None
force_bootstrap_full_scan = False
settings = Settings()
followup_min_delay_seconds = max(
0,
int(os.getenv("IAAI_SYNC_FOLLOWUP_MIN_DELAY_SECONDS", str(settings.celery.beat_sync_interval_minutes * 60))),
)
def _enqueue_bootstrap_followup(
reason: str,
@@ -1146,6 +1177,7 @@ def sync_listing_task(
*,
count_as_failure: bool = False,
) -> None:
delay_seconds = max(int(delay_seconds), followup_min_delay_seconds)
flag_ttl = max(lock_ttl, delay_seconds + 300)
if not _try_set_followup_pending(redis_client, ttl_seconds=flag_ttl):
logger.info(
@@ -1220,7 +1252,18 @@ def sync_listing_task(
}
try:
settings = Settings()
next_allowed_delay = _seconds_until_next_allowed_sync(redis_client, settings)
if next_allowed_delay > 0:
logger.info(
"sync_listing_task skipped: previous full run finished recently; next run allowed in %ss",
next_allowed_delay,
)
return {
"status": "skipped",
"reason": "next_sync_not_due_yet",
"retry_after_seconds": next_allowed_delay,
"task_id": task_id,
}
# Любой реально стартовавший sync_listing снимает pending-флаг followup,
# чтобы watchdog/continuation могли корректно планировать следующий run
@@ -1641,6 +1684,7 @@ def sync_listing_task(
summary["cars_failed"],
summary["failures_count"],
)
_mark_sync_completed(redis_client)
return summary
except SoftTimeLimitExceeded:

View File

@@ -17,6 +17,7 @@ dependencies = [
"pydantic>=2.8.2",
"python-dotenv>=1.0.1",
"redis>=5.2.0",
"requests>=2.32.0",
"sqlalchemy>=2.0.32",
"uvicorn>=0.34.0",
"urllib3>=2.0.0",

View File

@@ -1,6 +1,6 @@
{
"sync": {
"name": null,
"name": "https://www.iaai.com/Search?url=B%2bU066dM8%2flZtRvnzTwIEi8Pib9%2fM2fLpCTQDIgQRm4%3d",
"ids_initial_size": null,
"ids_next_size": null,
"ids_max_pages": null,

38
status_vps.py Normal file
View File

@@ -0,0 +1,38 @@
from __future__ import annotations
import os
import paramiko
HOST = "2.26.123.84"
USER = "root"
PASSWORD = os.environ["VPS_PASSWORD"]
commands = [
"cd /root/iaai-parser && docker compose ps",
"cd /root/iaai-parser && docker compose exec -T worker celery -A iaai_scraper.worker.celery_app inspect active reserved scheduled",
"docker exec -i iaai-postgres psql -U iaai -d iaai_scraper -c \"SELECT now() AS ts, (SELECT count(*) FROM iaai_cars) AS cars, (SELECT count(*) FROM iaai_sync_runs) AS runs, (SELECT status FROM iaai_sync_runs ORDER BY id DESC LIMIT 1) AS last_status, (SELECT cars_upserted FROM iaai_sync_runs ORDER BY id DESC LIMIT 1) AS last_upserted, (SELECT cars_failed FROM iaai_sync_runs ORDER BY id DESC LIMIT 1) AS last_failed, (SELECT started_at FROM iaai_sync_runs ORDER BY id DESC LIMIT 1) AS last_started;\"",
"docker logs --since 10m iaai-parser-worker-1 2>&1 | tail -n 160",
]
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
client.connect(
HOST,
username=USER,
password=PASSWORD,
look_for_keys=False,
allow_agent=False,
timeout=30,
banner_timeout=30,
auth_timeout=30,
)
try:
for command in commands:
print(f"\n=== REMOTE_RUN {command} ===", flush=True)
stdin, stdout, stderr = client.exec_command(command, timeout=180)
exit_code = stdout.channel.recv_exit_status()
print(stdout.read().decode("utf-8", "replace"), end="")
print(stderr.read().decode("utf-8", "replace"), end="")
print(f"\n=== EXIT {exit_code} ===", flush=True)
finally:
client.close()

117
tests/test_fast_client.py Normal file
View File

@@ -0,0 +1,117 @@
from __future__ import annotations
import json
from iaai_scraper.browser.fast_client import (
DETAIL_MARKER,
LISTING_MARKER,
build_resizer_images_from_keys,
is_challenge_response,
parse_listing_page,
parse_product_details_vm,
)
from iaai_scraper.parsing.fast_mapper import FastCarMapper
def test_parse_listing_page_extracts_hidden_payloads() -> None:
gbp = {"CurrentPage": 1, "PageSize": 100}
vehicles = [
{
"Id": "45078011~US",
"Tenant": "US",
"InventoryStatus": "RS",
"Currency": "USD",
"PreBidIndicator": True,
}
]
html = (
f'<input id="GBPSearchQuery" value="{json.dumps(gbp).replace(chr(34), "&quot;")}" />'
f'<input id="VehicleDetails" value="{json.dumps(vehicles).replace(chr(34), "&quot;")}" />'
'<input id="ResultCount" value="1" />'
'<input id="PageSize" value="100" />'
'<input id="CurrentPage" value="1" />'
)
parsed = parse_listing_page(html)
assert parsed.result_count == 1
assert parsed.page_size == 100
assert parsed.current_page == 1
assert parsed.vehicles[0].inventory_id == "45078011~US"
assert parsed.vehicles[0].inventory_status == "RS"
def test_parse_product_details_vm_and_map_record() -> None:
payload = {
"inventoryView": {
"attributes": {
"Id": "45078011~US",
"Year": "2002",
"Make": "ACURA",
"Model": "RSX",
"Series": "BASE",
"Currency": "USD",
"ODOValue": "219187",
"ExteriorColor": "GRAY",
"DriveLineTypeDesc": "FWD",
"Transmission": "Automatic",
"BodyStyleName": "COUPE",
"EngineSize": "2.0L I-4",
"VehicleGrade": "50",
"PrimaryDamageDesc": "NORMAL WEAR & TEAR",
},
"imageDimensions": {
"keys": {
"$values": [
{"k": "45078011~US~I1", "w": 1600, "h": 1200, "i": 0},
]
}
},
},
"auctionInformation": {
"prebidInformation": {"decimalHighBidAmount": "600", "highBidAmount": "$600"},
"biddingInformation": {"buyNowPrice": "$0"},
},
}
html = f'<script id="ProductDetailsVM" type="application/json">{json.dumps(payload)}</script>'
parsed = parse_product_details_vm(html)
record = FastCarMapper().map_payload_to_record(
detail_payload=parsed,
vehicle_url="https://www.iaai.com/VehicleDetail/45078011~US",
)
assert record.origin_id == "iaai:45078011~US"
assert record.brand == "ACURA"
assert record.model == "RSX BASE"
assert record.year == 2002
assert record.price == 600
assert record.drive == "FWD"
assert record.gearbox == "AT"
assert record.body_type == "COUPE"
assert record.engine_volume == 2000
assert record.is_damaged is False
assert len(record.images) == 1
def test_build_resizer_images_from_keys_deduplicates_and_orders() -> None:
keys = [
{"k": "abc~1", "w": 2000, "h": 1500, "i": 2},
{"k": "abc~1", "w": 2000, "h": 1500, "i": 2},
{"k": "abc~2", "w": 1800, "h": 1200, "i": 1},
]
images = build_resizer_images_from_keys(keys)
assert len(images) == 2
assert images[0]["order_index"] == 1
assert "imageKeys=abc~2" in str(images[0]["fullres_image"])
def test_is_challenge_response_marker_rules() -> None:
assert is_challenge_response(status_code=403, body_text="", expected_marker=None) is True
assert is_challenge_response(status_code=200, body_text="<html>blocked</html>", expected_marker=LISTING_MARKER) is True
assert is_challenge_response(
status_code=200,
body_text=f'<html>{DETAIL_MARKER}<script src="/_Incapsula_Resource"></script></html>',
expected_marker=DETAIL_MARKER,
) is False

141
tests/test_fast_sync.py Normal file
View File

@@ -0,0 +1,141 @@
from __future__ import annotations
from dataclasses import dataclass
from iaai_scraper.browser.fast_client import FastListingVehicle
from iaai_scraper.core.config import Settings
from iaai_scraper.core.runtime_config import RuntimeConfig, RuntimeFiltersConfig
from iaai_scraper.fast_sync import FastSyncEngine
from iaai_scraper.parsing.fast_mapper import FastCarMapper
def _listing_vehicle(inventory_id: str, *, status: str = "RS") -> FastListingVehicle:
return FastListingVehicle(
inventory_id=inventory_id,
tenant="US",
auction_id="1_1",
auction_date="2026-04-08T08:30:00+00:00",
inventory_status=status,
currency="USD",
timed_auction_closed=False,
timed_auction_indicator=False,
prebid_indicator=True,
buynow_indicator=False,
)
def _detail_payload(inventory_id: str, *, make: str = "ACURA", model: str = "RSX", bid: int = 500) -> dict:
return {
"inventoryView": {
"attributes": {
"Id": inventory_id,
"Year": "2002",
"Make": make,
"Model": model,
"Series": "BASE",
"Currency": "USD",
"ODOValue": "219187",
"ExteriorColor": "GRAY",
"DriveLineTypeDesc": "FWD",
"Transmission": "Automatic",
"BodyStyleName": "COUPE",
"EngineSize": "2.0L I-4",
"VehicleGrade": "50",
"PrimaryDamageDesc": "NORMAL WEAR & TEAR",
},
"imageDimensions": {
"keys": {"$values": [{"k": f"{inventory_id}~I1", "w": 1600, "h": 1200, "i": 0}]}
},
},
"auctionInformation": {
"prebidInformation": {"decimalHighBidAmount": str(bid), "highBidAmount": f"${bid}"},
"biddingInformation": {"buyNowPrice": "$0"},
},
}
class FakeFastClient:
def __init__(self, listing: list[FastListingVehicle], details: dict[str, dict]) -> None:
self.listing = listing
self.details = details
self.detail_calls = 0
self.persist_calls = 0
def iter_listing_vehicles(self, *, listing_start_url=None, make=None, max_pages=None): # noqa: ANN001, ANN202
del listing_start_url, make, max_pages
return iter(self.listing)
def fetch_vehicle_detail_payload(self, inventory_id: str) -> dict:
self.detail_calls += 1
return self.details[inventory_id]
def persist_session_state(self) -> None:
self.persist_calls += 1
@dataclass
class FakePersistence:
inserted: int = 0
images: int = 0
def get_existing_urls_and_ids(self, origin_urls, origin_ids): # noqa: ANN001, ANN202
del origin_urls, origin_ids
return set(), set()
def upsert_cars_batch(self, records): # noqa: ANN001, ANN202
self.inserted += len(records)
self.images += sum(len(record.images) for record in records)
return {"inserted": len(records), "updated": 0, "images_upserted": sum(len(record.images) for record in records)}
def mark_sold_not_in_listing_by_urls(self, active_origin_urls, lane="iaai"): # noqa: ANN001, ANN202
del active_origin_urls, lane
return 0
def test_fast_sync_engine_collects_details_and_bulk_upserts() -> None:
listing = [_listing_vehicle("45078011~US"), _listing_vehicle("45268167~US")]
details = {
"45078011~US": _detail_payload("45078011~US", make="ACURA", model="RSX", bid=500),
"45268167~US": _detail_payload("45268167~US", make="BMW", model="X5", bid=900),
}
client = FakeFastClient(listing, details)
persistence = FakePersistence()
engine = FastSyncEngine(
client=client, # type: ignore[arg-type]
mapper=FastCarMapper(),
persistence=persistence, # type: ignore[arg-type]
batch_size=10,
fetch_concurrency=2,
)
result = engine.sync_listing(runtime_config=RuntimeConfig(), only_new=False)
assert result["status"] == "success"
assert result["cars_upserted"] == 2
assert result["images_upserted"] == 2
assert result["listing"]["mode"] == "fast_hidden_payload"
assert client.detail_calls == 2
assert client.persist_calls == 1
def test_fast_sync_engine_applies_runtime_filters_before_db() -> None:
listing = [_listing_vehicle("45078011~US"), _listing_vehicle("45268167~US")]
details = {
"45078011~US": _detail_payload("45078011~US", make="ACURA", model="RSX", bid=500),
"45268167~US": _detail_payload("45268167~US", make="BMW", model="X5", bid=900),
}
runtime = RuntimeConfig(filters=RuntimeFiltersConfig.from_dict({"brands": ["BMW"]}))
persistence = FakePersistence()
engine = FastSyncEngine(
client=FakeFastClient(listing, details), # type: ignore[arg-type]
mapper=FastCarMapper(),
persistence=persistence, # type: ignore[arg-type]
batch_size=10,
fetch_concurrency=2,
)
result = engine.sync_listing(runtime_config=runtime, only_new=False)
assert result["cars_upserted"] == 1
assert result["cars_filtered"] == 1
assert persistence.inserted == 1

View File

@@ -1,5 +1,6 @@
from __future__ import annotations
import json
import unittest
from unittest.mock import MagicMock, patch
@@ -50,6 +51,119 @@ class TestSelfHeal(unittest.TestCase):
self.assertIsNone(ts)
def test_active_recent_progress_prevents_db_idle_restart(self) -> None:
redis_client = MagicMock()
redis_client.scan_iter.return_value = ["iaai:state:task_progress:hourly"]
redis_client.get.return_value = json.dumps(
{
"task_id": "hourly",
"stage": "fast_listing_collected",
"ts": 1000,
"last_db_progress_ts": 1,
"skipped_existing": 2417,
}
)
active = self_heal._has_active_recent_progress(
redis_client,
now_ts=1010,
stall_seconds=900,
)
self.assertTrue(active)
@patch("iaai_scraper.worker.self_heal.time.time", return_value=5000)
def test_has_inflight_work_deletes_stale_terminal_progress_without_work(self, _time_mock) -> None:
redis_client = MagicMock()
redis_client.llen.return_value = 0
redis_client.get.side_effect = lambda key: {
self_heal.SYNC_LISTING_LOCK_KEY: None,
"iaai:state:task_progress:old": json.dumps(
{
"task_id": "old",
"stage": "segment_done",
"ts": 1000,
"segment_full_scan_completed": True,
}
),
}.get(key)
redis_client.scan_iter.return_value = ["iaai:state:task_progress:old"]
has_inflight, flags = self_heal._has_inflight_work(redis_client, self_heal.IAAI_SYNC_QUEUE)
self.assertFalse(has_inflight)
self.assertEqual(flags["has_task_progress"], 0)
redis_client.delete.assert_called_once_with("iaai:state:task_progress:old")
@patch("iaai_scraper.worker.self_heal.time.time", return_value=1010)
def test_has_inflight_work_keeps_recent_non_terminal_progress(self, _time_mock) -> None:
redis_client = MagicMock()
redis_client.llen.return_value = 0
redis_client.get.side_effect = lambda key: {
self_heal.SYNC_LISTING_LOCK_KEY: None,
"iaai:state:task_progress:active": json.dumps(
{
"task_id": "active",
"stage": "fast_listing_collected",
"ts": 1000,
}
),
}.get(key)
redis_client.scan_iter.return_value = ["iaai:state:task_progress:active"]
has_inflight, flags = self_heal._has_inflight_work(redis_client, self_heal.IAAI_SYNC_QUEUE)
self.assertTrue(has_inflight)
self.assertEqual(flags["has_task_progress"], 1)
redis_client.delete.assert_not_called()
@patch("iaai_scraper.worker.self_heal.time.time", return_value=5000)
def test_has_inflight_work_deletes_stale_non_terminal_progress_without_work(self, _time_mock) -> None:
redis_client = MagicMock()
redis_client.llen.return_value = 0
redis_client.get.side_effect = lambda key: {
self_heal.SYNC_LISTING_LOCK_KEY: None,
"iaai:state:task_progress:stale": json.dumps(
{
"task_id": "stale",
"stage": "segment_started",
"ts": 1000,
"segment_index": 11,
}
),
}.get(key)
redis_client.scan_iter.return_value = ["iaai:state:task_progress:stale"]
has_inflight, flags = self_heal._has_inflight_work(redis_client, self_heal.IAAI_SYNC_QUEUE)
self.assertFalse(has_inflight)
self.assertEqual(flags["has_task_progress"], 0)
self.assertEqual(flags["stale_progress_deleted"], 1)
redis_client.delete.assert_called_once_with("iaai:state:task_progress:stale")
@patch("iaai_scraper.worker.self_heal.time.time", return_value=5000)
def test_has_inflight_work_keeps_stale_progress_when_lock_exists(self, _time_mock) -> None:
redis_client = MagicMock()
redis_client.llen.return_value = 0
redis_client.get.side_effect = lambda key: {
self_heal.SYNC_LISTING_LOCK_KEY: "owner",
"iaai:state:task_progress:stale": json.dumps(
{
"task_id": "stale",
"stage": "segment_started",
"ts": 1000,
}
),
}.get(key)
redis_client.scan_iter.return_value = ["iaai:state:task_progress:stale"]
has_inflight, flags = self_heal._has_inflight_work(redis_client, self_heal.IAAI_SYNC_QUEUE)
self.assertTrue(has_inflight)
self.assertEqual(flags["has_lock"], 1)
self.assertEqual(flags["has_task_progress"], 1)
redis_client.delete.assert_not_called()
@patch("iaai_scraper.worker.self_heal.time.sleep", return_value=None)
@patch("iaai_scraper.worker.self_heal.os.kill")
@patch("builtins.open")

View File

@@ -3,7 +3,14 @@ from __future__ import annotations
import unittest
from iaai_scraper.core.utils import deep_find_key
from iaai_scraper.core.config import parse_listing_segments, IAAI_DEFAULT_MAKES, _LARGE_MAKES, _YEAR_SPLITS
from iaai_scraper.core.config import (
IAAI_DEFAULT_MAKES,
_LARGE_MAKES,
_YEAR_SPLITS,
ProxyConfig,
build_listing_segments_for_makes,
parse_listing_segments,
)
class TestDeepFindKey(unittest.TestCase):
@@ -70,6 +77,37 @@ class TestParseListingSegments(unittest.TestCase):
self.assertEqual(segs[0]["year_min"], 2020)
self.assertEqual(segs[0]["year_max"], 2025)
def test_build_listing_segments_for_makes(self) -> None:
segs = build_listing_segments_for_makes(["toyota", "Lexus", "TOYOTA", " "])
toyota = [s for s in segs if s["make"] == "TOYOTA"]
lexus = [s for s in segs if s["make"] == "LEXUS"]
self.assertEqual(len(toyota), len(_YEAR_SPLITS))
self.assertEqual(len(lexus), 1)
self.assertIsNone(lexus[0]["year_min"])
class TestProxyConfig(unittest.TestCase):
def test_requests_proxy_url_includes_encoded_credentials(self) -> None:
cfg = ProxyConfig(
server="http://144.31.139.6:3128",
username="carsproxy",
password="pass@word:with/slash",
)
self.assertEqual(
cfg.to_requests_proxy_url(),
"http://carsproxy:pass%40word%3Awith%2Fslash@144.31.139.6:3128",
)
self.assertEqual(
cfg.to_requests_proxies(),
{
"http": "http://carsproxy:pass%40word%3Awith%2Fslash@144.31.139.6:3128",
"https": "http://carsproxy:pass%40word%3Awith%2Fslash@144.31.139.6:3128",
},
)
if __name__ == "__main__":
unittest.main()

View File

@@ -1,15 +1,36 @@
from __future__ import annotations
import json
import os
from dataclasses import replace
import tempfile
import unittest
from unittest.mock import MagicMock, patch
from iaai_scraper.worker import tasks
from iaai_scraper.core.config import settings as base_settings
from iaai_scraper.core.config import Settings, settings as base_settings
class TestWorkerTaskLockHelpers(unittest.TestCase):
def test_build_listing_segments_from_runtime_config_brands(self) -> None:
with tempfile.NamedTemporaryFile("w", encoding="utf-8", suffix=".json", delete=False) as fh:
json.dump({"filters": {"brands": ["Toyota", "Lexus", "Toyota"]}}, fh)
runtime_config_file = fh.name
settings = Settings(runtime_config_file=runtime_config_file)
settings.listing.listing_segments_json = "runtime"
settings.scraping_profile.http_first = False
settings.listing.fast_segment_year_splits = True
segs = tasks._build_listing_segments(settings)
toyota = [s for s in segs if s["make"] == "TOYOTA"]
lexus = [s for s in segs if s["make"] == "LEXUS"]
self.assertEqual(len(toyota), 3)
self.assertEqual(len(lexus), 1)
self.assertIsNone(lexus[0]["year_min"])
os.unlink(runtime_config_file)
def test_lock_acquire_refresh_release(self) -> None:
redis_client = MagicMock()

18
vps_check.sh Normal file
View File

@@ -0,0 +1,18 @@
#!/usr/bin/env bash
set -euo pipefail
cd /root/iaai-parser
echo '--- services ---'
docker compose ps
echo '--- env speed ---'
grep -nE 'IAAI_PROFILE|IAAI_SCRAPING_PROFILE|IAAI_HTTP_FIRST|IAAI_LISTING_SEGMENTS|IAAI_FAST_SEGMENT_YEAR_SPLITS|CELERY_WORKER_CONCURRENCY|IAAI_FETCH_CONCURRENCY|CELERY_BATCH_SIZE' .env
echo '--- db count ---'
docker compose exec -T postgres psql -U iaai -d iaai_scraper -t -c "select count(*) as cars_count, max(last_seen_at) as last_seen from iaai_cars;"
echo '--- redis progress ---'
docker compose exec -T redis redis-cli MGET iaai:state:sync_listing_checkpoint iaai:state:sync_segments_done iaai:state:sync_segments_total iaai:state:sync_full_scan_done
echo '--- recent worker progress ---'
docker compose logs --tail=80 worker | grep -E 'Segment [0-9]+/[0-9]+|Fast HTTP-first listing started|Fast HTTP-first listing collected|Fast HTTP-first DB batch|ERROR|WARNING' | tail -40

179
vps_monitor.sh Normal file
View File

@@ -0,0 +1,179 @@
#!/usr/bin/env bash
set -euo pipefail
# VPS monitor for iaai-parser. Run on the VPS from any directory:
# bash /root/iaai-parser/vps_monitor.sh
# Live mode:
# watch -n 30 bash /root/iaai-parser/vps_monitor.sh
APP_DIR="${APP_DIR:-/root/iaai-parser}"
cd "$APP_DIR"
LINE='============================================================'
SMALL='------------------------------------------------------------'
section() {
echo
echo "$LINE"
echo "$1"
echo "$LINE"
}
subsection() {
echo
echo "$SMALL"
echo "$1"
echo "$SMALL"
}
run_psql() {
docker compose exec -T postgres psql -U iaai -d iaai_scraper "$@"
}
run_redis() {
docker compose exec -T redis redis-cli "$@"
}
now_utc="$(date -u '+%Y-%m-%d %H:%M:%S UTC')"
echo "IAAI VPS monitor | $now_utc | app=$APP_DIR"
section "1) Services / restarts"
docker compose ps
subsection "Container restart counters"
for svc in api worker beat postgres redis; do
cid="$(docker compose ps -q "$svc" 2>/dev/null || true)"
if [[ -z "$cid" ]]; then
printf '%-10s %s\n' "$svc" "not found"
continue
fi
name="$(docker inspect --format '{{.Name}}' "$cid" | sed 's#^/##')"
restarts="$(docker inspect --format '{{.RestartCount}}' "$cid")"
started="$(docker inspect --format '{{.State.StartedAt}}' "$cid")"
status="$(docker inspect --format '{{.State.Status}}' "$cid")"
health="$(docker inspect --format '{{if .State.Health}}{{.State.Health.Status}}{{else}}n/a{{end}}' "$cid")"
printf '%-22s restarts=%-3s started=%s status=%s health=%s\n' "$name" "$restarts" "$started" "$status" "$health"
done
subsection "Startup / restart log markers"
docker compose logs --since '24h' worker beat 2>/dev/null \
| grep -E 'Worker ready|startup sync|dispatching initial|Scheduler: Sending due task|warm shutdown|Restoring|mingle:|ready\.|ERROR|CRITICAL' \
| tail -80 || true
section "2) Main DB result"
run_psql -c "
select
count(*) as total_cars,
count(*) filter (where is_sold = false) as active_cars,
count(*) filter (where is_sold = true) as sold_cars,
count(*) filter (where last_seen_at > now() - interval '5 minutes') as touched_5m,
count(*) filter (where last_seen_at > now() - interval '15 minutes') as touched_15m,
count(*) filter (where last_seen_at > now() - interval '60 minutes') as touched_60m,
max(last_seen_at) as last_seen
from iaai_cars;
"
subsection "Writes from sync_runs"
run_psql -c "
select
coalesce(sum(cars_upserted) filter (where started_at > now() - interval '1 hour'), 0) as cars_upserted_1h,
coalesce(sum(cars_upserted) filter (where started_at > now() - interval '6 hours'), 0) as cars_upserted_6h,
coalesce(sum(cars_upserted) filter (where started_at::date = now()::date), 0) as cars_upserted_today,
count(*) filter (where status = 'running') as running_runs,
count(*) filter (where status = 'success' and started_at > now() - interval '24 hours') as success_runs_24h,
count(*) filter (where status = 'failed' and started_at > now() - interval '24 hours') as failed_runs_24h
from iaai_sync_runs;
"
section "3) Segments / passes"
subsection "Redis checkpoint / active progress"
checkpoint="$(run_redis GET iaai:state:sync_listing_checkpoint || true)"
segments_done="$(run_redis SCARD iaai:state:sync_segments_done 2>/dev/null || echo 0)"
segments_total="$(run_redis GET iaai:state:sync_segments_total || true)"
full_scan_done="$(run_redis GET iaai:state:sync_full_scan_done || true)"
queue_len="$(run_redis LLEN iaai_sync || true)"
lock_value="$(run_redis GET iaai:locks:sync_listing || true)"
echo "checkpoint_last_completed_segment=${checkpoint:-empty}"
echo "segments_done_set_count=${segments_done:-0}"
echo "segments_total=${segments_total:-unknown}"
echo "full_scan_done=${full_scan_done:-empty}"
echo "queue_len=${queue_len:-unknown}"
echo "sync_lock=${lock_value:-empty}"
echo
echo "Active/latest task progress keys:"
progress_keys="$(run_redis --scan --pattern 'iaai:state:task_progress:*' || true)"
if [[ -z "$progress_keys" ]]; then
echo "no task_progress keys"
else
while IFS= read -r key; do
[[ -z "$key" ]] && continue
echo "$key"
run_redis GET "$key" || true
echo
done <<< "$progress_keys"
fi
subsection "Completed full passes by worker logs"
passes_24h="$(docker compose logs --since '24h' worker 2>/dev/null | grep -Ec 'Segment 65/65 done|Segment 64/65 done: RIMAC|Bootstrap full scan completed|sync_listing_task completed: status=success' || true)"
passes_6h="$(docker compose logs --since '6h' worker 2>/dev/null | grep -Ec 'Segment 65/65 done|Segment 64/65 done: RIMAC|Bootstrap full scan completed|sync_listing_task completed: status=success' || true)"
echo "estimated_completed_passes_6h=$passes_6h"
echo "estimated_completed_passes_24h=$passes_24h"
subsection "Recent segment events"
docker compose logs --tail=220 worker 2>/dev/null \
| grep -E 'Segment [0-9]+/[0-9]+|Fast HTTP-first listing collected|Fast HTTP-first DB batch|sync_listing_task completed|Bootstrap full scan completed|Bootstrap continuation stopped|sync_already_running' \
| tail -90 || true
section "4) Errors / warnings"
subsection "Failed sync_runs last 24h"
run_psql -c "
select id, status, cars_upserted, cars_failed, started_at, finished_at, left(coalesce(error_summary, ''), 180) as error_summary
from iaai_sync_runs
where status <> 'success' and started_at > now() - interval '24 hours'
order by id desc
limit 20;
"
subsection "Recent ERROR/WARNING logs"
docker compose logs --since '6h' worker beat api 2>/dev/null \
| grep -E 'ERROR|WARNING|CRITICAL|Traceback|TimeLimitExceeded|SoftTimeLimitExceeded|Read timed out|anti-bot|circuit breaker' \
| tail -120 || true
section "5) Schedule / hourly behavior"
subsection "Relevant environment"
docker compose exec -T worker sh -lc 'env | grep -E "IAAI_STARTUP_SYNC_ENABLED|CELERY_BEAT_SYNC_INTERVAL_MINUTES|IAAI_LISTING_SEGMENTS|IAAI_ALWAYS_FULL_SCAN|IAAI_FULL_SCAN_ON_STARTUP|IAAI_HOURLY_MODE|IAAI_HOURLY_REFRESH_BATCH_SIZE|IAAI_SELF_HEAL_STALL_SECONDS|IAAI_DB_IDLE_RESTART_SECONDS|CELERY_TASK_SOFT_TIME_LIMIT|CELERY_TASK_TIME_LIMIT|CELERY_BROKER_VISIBILITY_TIMEOUT" | sort' || true
subsection "Beat sends / skipped duplicates"
docker compose logs --since '12h' beat worker 2>/dev/null \
| grep -E 'Scheduler: Sending due task periodic-sync-listing|sync_already_running|sync_listing_task hourly|Hourly mode|Worker ready|startup sync dispatch disabled|dispatching initial' \
| tail -120 || true
section "6) Sold cars"
run_psql -c "
select
count(*) filter (where is_sold = true) as sold_total,
count(*) filter (where is_sold = true and last_seen_at > now() - interval '24 hours') as sold_seen_24h,
min(last_seen_at) filter (where is_sold = true) as oldest_sold_seen,
max(last_seen_at) filter (where is_sold = true) as newest_sold_seen
from iaai_cars;
"
subsection "Top sold brands"
run_psql -c "
select brand, count(*) as sold
from iaai_cars
where is_sold = true
group by brand
order by sold desc
limit 15;
"
subsection "Sold marking logs"
docker compose logs --since '24h' worker 2>/dev/null \
| grep -E 'Marked [0-9]+ cars as sold|sold_marked|Fast sold reconcile failed|mark_sold safety abort' \
| tail -80 || true
section "7) Quick health hints"
echo "OK if: worker/beat healthy, queue_len is 0 or small, one sync_lock exists during active run, checkpoint grows, failed_runs_24h is low."
echo "If IAAI_STARTUP_SYNC_ENABLED is empty/true, worker restart can dispatch an immediate sync. Set it to false to rely only on hourly beat."