gendesign/tradein-mvp/backend/app/api/v1/admin.py
lekss361 a425f4eef0 feat(tradein): Stage 4a — API endpoints for Avito enrichment + IMV benchmark UI
3 NEW admin endpoints (debug + manual triggers):
- POST /api/v1/admin/scrape/avito-house?house_url=... — Houses Catalog enrichment (Stage 2c)
- POST /api/v1/admin/scrape/avito-detail?item_url=... — listing detail enrichment (Stage 2b)
- POST /api/v1/admin/scrape/avito-imv?address=...&rooms=... — IMV debug (Stage 2d, no cache)

2 NEW trade-in endpoints (UI):
- GET /api/v1/trade-in/estimate/{id}/houses — top-5 ближайших houses к target (Stage 2c data)
- GET /api/v1/trade-in/estimate/{id}/imv-benchmark — Avito IMV для UI badge (Stage 3 cache
  lookup + fallback to address-match within 24h; includes our_median_price + diff_pct vs IMV)

2 NEW Pydantic schemas: HouseInfoForEstimate, IMVBenchmarkResponse
5 pytest offline tests (FastAPI TestClient + mocked DB + weasyprint stub)

Refs: AvitoScraper_v2_Implementation_Plan Stage 4a.
2026-05-23 16:32:11 +03:00

440 lines
17 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""Admin endpoints — debug + ручной запуск парсеров.
Пока без auth (Слой 7), потом закроем общим middleware.
"""
from __future__ import annotations
import logging
import time
from typing import Annotated, Literal
from fastapi import APIRouter, Depends, Header, HTTPException
from pydantic import BaseModel, Field
from sqlalchemy import text
from sqlalchemy.orm import Session
from app.core.config import settings
from app.core.db import get_db
from app.services import cian_session as cian_session_svc
from app.services.geocoder import geocode
from app.services.scrapers.avito import AvitoScraper
from app.services.scrapers.avito_detail import fetch_detail, save_detail_enrichment
from app.services.scrapers.avito_houses import fetch_house_catalog, save_house_catalog_enrichment
from app.services.scrapers.avito_imv import (
IMVAddressNotFoundError,
evaluate_via_imv,
save_imv_evaluation,
save_imv_placement_history,
)
from app.services.scrapers.base import save_listings
from app.services.scrapers.cian import CianScraper
from app.services.scrapers.n1 import N1Scraper
from app.services.scrapers.yandex_realty import YandexRealtyScraper
logger = logging.getLogger(__name__)
router = APIRouter()
def require_admin(
x_admin_token: Annotated[str | None, Header()] = None,
) -> None:
"""Проверка admin-токена для /api/v1/admin/*.
Если settings.admin_token не задан (dev) — пропускаем (открыто).
Если задан — требуем заголовок X-Admin-Token с этим значением.
"""
if settings.admin_token is None:
return # dev-режим: токен не настроен → эндпоинты открыты
if x_admin_token != settings.admin_token:
raise HTTPException(status_code=401, detail="Invalid or missing X-Admin-Token")
class ScrapeRequest(BaseModel):
lat: float
lon: float
radius_m: int = Field(default=1000, ge=100, le=20000)
sources: list[Literal["avito", "cian", "yandex", "n1"]] = Field(default_factory=lambda: ["avito", "cian", "yandex", "n1"])
multi_room_yandex: bool = False # Если True — скрейп Yandex по 5 сегментам комнат, не одним общим запросом.
deep_yandex: bool = False # Если True — Yandex полный обход 5 rooms × 3 sorts × 2 pages = 30 запросов / ~150s.
multi_room_cian: bool = False # Если True — скрейп Cian по 4 сегментам комнат отдельно (~4× лотов).
multi_room_n1: bool = False # Если True — скрейп N1 по 4 сегментам комнат отдельно (~4× лотов).
class ScrapeResult(BaseModel):
source: str
fetched: int
inserted: int
updated: int
class ScrapeResponse(BaseModel):
total_fetched: int
total_inserted: int
total_updated: int
by_source: list[ScrapeResult]
@router.post("/scrape", response_model=ScrapeResponse, dependencies=[Depends(require_admin)])
async def scrape_around(
payload: ScrapeRequest,
db: Annotated[Session, Depends(get_db)],
) -> ScrapeResponse:
"""Запустить парсеры для точки (lat, lon) в радиусе radius_m метров.
Примеры:
curl -X POST /api/v1/admin/scrape \\
-H 'Content-Type: application/json' \\
-d '{"lat":56.8332,"lon":60.5944,"radius_m":1000,"sources":["avito"]}'
"""
results: list[ScrapeResult] = []
for source in payload.sources:
scraper_cls = {
"avito": AvitoScraper,
"cian": CianScraper,
"yandex": YandexRealtyScraper,
"n1": N1Scraper,
}.get(source)
if scraper_cls is None:
continue
async with scraper_cls() as scraper:
if source == "yandex" and payload.deep_yandex:
lots = await scraper.fetch_around_multi_room(
payload.lat, payload.lon, payload.radius_m,
sorts=("DATE_DESC", "PRICE", "AREA_DESC"),
pages=(0, 1),
)
elif source == "yandex" and payload.multi_room_yandex:
lots = await scraper.fetch_around_multi_room(
payload.lat, payload.lon, payload.radius_m
)
elif source == "cian" and payload.multi_room_cian:
lots = await scraper.fetch_around_multi_room(
payload.lat, payload.lon, payload.radius_m
)
elif source == "n1" and payload.multi_room_n1:
lots = await scraper.fetch_around_multi_room(
payload.lat, payload.lon, payload.radius_m
)
else:
lots = await scraper.fetch_around(
payload.lat, payload.lon, payload.radius_m
)
inserted, updated = save_listings(db, lots)
results.append(
ScrapeResult(source=source, fetched=len(lots), inserted=inserted, updated=updated)
)
return ScrapeResponse(
total_fetched=sum(r.fetched for r in results),
total_inserted=sum(r.inserted for r in results),
total_updated=sum(r.updated for r in results),
by_source=results,
)
def _clean_address_for_geocode(addr: str) -> str:
"""Чистим address для геокодера.
Cian отдаёт «улица Латвийская, 56/3 · р-н Чкаловский» — суффикс ' · ...'
мешает Nominatim. Берём часть до ' · '. N1 отдаёт «Репина, 75/2 стр.» — ок.
"""
main = addr.split(" · ")[0].strip()
return main or addr
@router.post("/geocode-missing", dependencies=[Depends(require_admin)])
async def geocode_missing(
db: Annotated[Session, Depends(get_db)],
limit: int = 100,
target: Literal["listings", "deals"] = "listings",
) -> dict:
"""Геокодинг listings ИЛИ deals у которых нет lat/lon (используя address).
target=listings (по умолч.) — объявления Cian/N1; target=deals — сделки Росреестра.
Чанк-обработка с бюджетом по времени (~240с, заведомо меньше cron
`curl -m 320`): за вызов геокодим сколько успеваем, остаток уходит в
`remaining`, cron вызывает в цикле пока `remaining` > 0.
geocode_tried_at: после КАЖДОЙ попытки (успех/провал) ставим NOW(). Failed-
адреса не выбираются повторно 7 дней → cron-loop завершается, не зацикливается.
geom обновляется автоматически триггером.
"""
# Доп. фильтр для listings — у Avito/N1 встречаются плейсхолдер-адреса.
extra_filter = (
"AND address NOT LIKE '%(Avito)%' AND address NOT LIKE '%(N1)%'"
if target == "listings"
else ""
)
rows = db.execute(
text(
f"""
SELECT id, address
FROM {target}
WHERE lat IS NULL
AND COALESCE(address, '') != ''
{extra_filter}
AND (geocode_tried_at IS NULL
OR geocode_tried_at < NOW() - interval '7 days')
ORDER BY geocode_tried_at NULLS FIRST
LIMIT :limit
"""
),
{"limit": limit},
).mappings().all()
# Бюджет по времени: геокодинг упирается в Nominatim (1 req/sec + typo-тиры
# на провалах), 100 адресов могут не уложиться в cron-таймаут `curl -m 320`.
# Выходим из цикла заведомо раньше — remaining > 0 заставит cron продолжить.
budget_sec = 240.0
started = time.monotonic()
geocoded = 0
skipped = 0
for row in rows:
if time.monotonic() - started > budget_sec:
logger.info(
"geocode-missing: бюджет %.0fс исчерпан, обработано %d — cron продолжит",
budget_sec, geocoded + skipped,
)
break
clean = _clean_address_for_geocode(row["address"])
result = await geocode(clean, db)
if result is None:
# Помечаем что пробовали — иначе ретрай на каждом cron.
db.execute(
text(f"UPDATE {target} SET geocode_tried_at = NOW() WHERE id = :id"),
{"id": row["id"]},
)
db.commit()
skipped += 1
continue
# geom пересчитается триггером из lat/lon.
db.execute(
text(
f"UPDATE {target} SET lat = :lat, lon = :lon, "
"geocode_tried_at = NOW() WHERE id = :id"
),
{"lat": result.lat, "lon": result.lon, "id": row["id"]},
)
db.commit()
geocoded += 1
# Сколько ещё не-геокоженных адресов ждут (для cron-loop'а).
remaining = db.execute(
text(
f"""
SELECT count(*) FROM {target}
WHERE lat IS NULL
AND COALESCE(address, '') != ''
{extra_filter}
AND (geocode_tried_at IS NULL
OR geocode_tried_at < NOW() - interval '7 days')
"""
)
).scalar()
return {
"checked": len(rows),
"geocoded": geocoded,
"skipped": skipped,
"remaining": int(remaining or 0),
}
@router.post("/scrape/cian/upload-cookies", status_code=200, dependencies=[Depends(require_admin)])
async def upload_cian_cookies(
cookies: dict[str, str],
db: Annotated[Session, Depends(get_db)],
) -> dict:
"""Upload Cian session cookies для аутентификации Valuation Calculator.
Body: JSON object вида { "_ym_uid": "...", "_cian_visitor_session_id": "...", ... }
Cookies экспортируются из Chrome DevTools → Application → Cookies → www.cian.ru
или через расширение Cookie-Editor → Export → JSON (object format).
Шаги:
1. Фильтрует payload по CIAN_REQUIRED_COOKIES.
2. Верифицирует через GET /kalkulator-nedvizhimosti/ — проверяет isAuthenticated.
3. Сохраняет зашифрованно (pgp_sym_encrypt) в cian_session_cookies.
Returns: {"ok": true, "userId": <int>, "cookieCount": <int>}
"""
if not settings.cookie_encryption_key:
raise HTTPException(status_code=503, detail="COOKIE_ENCRYPTION_KEY not configured")
cleaned = {k: v for k, v in cookies.items() if k in cian_session_svc.CIAN_REQUIRED_COOKIES}
if not cleaned:
raise HTTPException(
status_code=400,
detail=(
f"No recognized Cian cookies in payload. "
f"Expected any of: {sorted(cian_session_svc.CIAN_REQUIRED_COOKIES)}"
),
)
state = await cian_session_svc.verify_session(cleaned)
if state is None:
raise HTTPException(
status_code=401,
detail="Cookies invalid or session not authenticated on cian.ru",
)
user_id = state.get("user", {}).get("userId")
if not user_id:
raise HTTPException(status_code=400, detail="Authenticated state missing userId")
cian_session_svc.save_session(db, account_user_id=int(user_id), cookies=cleaned)
return {"ok": True, "userId": user_id, "cookieCount": len(cleaned)}
@router.get("/scrape/cian/test-auth", status_code=200, dependencies=[Depends(require_admin)])
async def test_cian_auth(
db: Annotated[Session, Depends(get_db)],
) -> dict:
"""Проверить что текущие сохранённые Cian cookies ещё валидны.
Returns: {"authenticated": bool, "userId": <int|null>, "reason": <str|null>}
"""
if not settings.cookie_encryption_key:
return {"authenticated": False, "userId": None, "reason": "encryption_key_not_configured"}
cookies = cian_session_svc.load_session(db)
if cookies is None:
return {"authenticated": False, "userId": None, "reason": "no_session_in_db"}
state = await cian_session_svc.verify_session(cookies)
if state is None:
return {"authenticated": False, "userId": None, "reason": "session_expired_or_invalid"}
user_id = state.get("user", {}).get("userId")
return {"authenticated": True, "userId": user_id, "reason": None}
# ── Stage 4a: Avito enrichment endpoints (single-shot debug + manual triggers) ──
@router.post("/scrape/avito-house", dependencies=[Depends(require_admin)])
async def scrape_avito_house(
db: Annotated[Session, Depends(get_db)],
house_url: str,
) -> dict[str, object]:
"""Enrichment ОДНОГО дома Avito Houses Catalog.
Body params (query): `house_url=/catalog/houses/<slug>/<id>` (absolute или relative path).
Flow: fetch_house_catalog → save_house_catalog_enrichment.
Returns counters {'house_id', 'reviews', 'sellers', 'listings_linked', 'placement_history'}.
"""
try:
enrichment = await fetch_house_catalog(house_url)
except Exception as e:
logger.exception("avito-house: fetch failed for %s", house_url)
raise HTTPException(status_code=502, detail=f"fetch failed: {e}") from e
try:
counters = save_house_catalog_enrichment(db, enrichment)
except Exception as e:
logger.exception("avito-house: save failed for %s", house_url)
raise HTTPException(status_code=500, detail=f"save failed: {e}") from e
logger.info("avito-house ok: %s%s", house_url, counters)
return {"ok": True, "house_url": house_url, "counters": counters}
@router.post("/scrape/avito-detail", dependencies=[Depends(require_admin)])
async def scrape_avito_detail(
db: Annotated[Session, Depends(get_db)],
item_url: str,
) -> dict[str, object]:
"""Detail enrichment ОДНОГО listing.
Body params (query): `item_url=/ekaterinburg/kvartiry/...` (absolute или relative).
Flow: fetch_detail → save_detail_enrichment (UPDATE listings WHERE source='avito').
Returns {'ok', 'item_id', 'updated'}.
"""
try:
enrichment = await fetch_detail(item_url)
except Exception as e:
logger.exception("avito-detail: fetch failed for %s", item_url)
raise HTTPException(status_code=502, detail=f"fetch failed: {e}") from e
try:
updated = save_detail_enrichment(db, enrichment)
except Exception as e:
logger.exception("avito-detail: save failed for %s", item_url)
raise HTTPException(status_code=500, detail=f"save failed: {e}") from e
if not updated:
# Listing с этим source_id ещё не существует в БД — был bypass через
# /admin/scrape/avito-detail для несуществующего listing.
logger.warning("avito-detail: no listing matched source_id=%s", enrichment.item_id)
logger.info("avito-detail ok: %s item_id=%s updated=%s", item_url, enrichment.item_id, updated)
return {"ok": True, "item_id": enrichment.item_id, "updated": updated}
@router.post("/scrape/avito-imv", dependencies=[Depends(require_admin)])
async def scrape_avito_imv(
db: Annotated[Session, Depends(get_db)],
address: str,
rooms: int,
area_m2: float,
floor: int,
floor_at_home: int,
house_type: str,
renovation_type: str,
has_balcony: bool = False,
has_loggia: bool = False,
) -> dict[str, object]:
"""Debug-trigger Avito IMV evaluation. БЕЗ cache — всегда свежий fetch.
Production IMV вызывается из estimator (Stage 3, on-demand с 24h cache).
Этот endpoint — для ручной отладки / data-pipeline tools.
Returns {'ok', 'cache_key', 'recommended_price', 'range', 'market_count',
'evaluation_id', 'history_saved'}.
"""
try:
result = await evaluate_via_imv(
address=address,
rooms=rooms,
area_m2=area_m2,
floor=floor,
floor_at_home=floor_at_home,
house_type=house_type,
renovation_type=renovation_type,
has_balcony=has_balcony,
has_loggia=has_loggia,
)
except IMVAddressNotFoundError as e:
raise HTTPException(status_code=404, detail=f"IMV address not found: {e}") from e
except Exception as e:
logger.exception("avito-imv: fetch failed for %s", address)
raise HTTPException(status_code=502, detail=f"fetch failed: {e}") from e
try:
eval_id = save_imv_evaluation(db, result)
history_saved = save_imv_placement_history(db, eval_id, result.placement_history)
except Exception as e:
logger.exception("avito-imv: save failed for %s", address)
raise HTTPException(status_code=500, detail=f"save failed: {e}") from e
logger.info(
"avito-imv ok: addr=%s recommended=%d evaluation_id=%d history=%d",
address[:60],
result.recommended_price,
eval_id,
history_saved,
)
return {
"ok": True,
"cache_key": result.cache_key,
"recommended_price": result.recommended_price,
"range": [result.lower_price, result.higher_price],
"market_count": result.market_count,
"evaluation_id": eval_id,
"history_saved": history_saved,
}