gendesign/backend/app/api/v1/admin_scrape.py
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feat(22d): catalog scraper — skip-today filter + force flag (#348)
2026-05-17 23:15:22 +00:00

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"""Admin trigger for ad-hoc kn-API sweeps.
POST /api/v1/admin/scrape/kn
Body: {"region_code": 66, "developers": ["6208_0"]?, "fetch_flats": true?}
Header: X-Admin-Token: <SCRAPE_ADMIN_TOKEN env var>
Disabled if SCRAPE_ADMIN_TOKEN is empty (default).
Returns the Celery task id; poll /api/v1/admin/scrape/runs/{run_id} to track DB-side progress.
"""
from __future__ import annotations
from typing import Annotated, Any
from fastapi import APIRouter, Depends, 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.core.deps import AdminTokenAuth
router = APIRouter()
class TriggerKnRequest(BaseModel):
region_code: int = Field(..., ge=1, le=99)
developers: list[str] | None = Field(default=None, max_length=20)
fetch_flats: bool = True
extras: bool = True
download_photos: bool = False
# Если True — ПЕРЕД apply_async удалить existing Redis lock. Эмердженси-режим
# для случая «зомби-worker оставил lock и блокирует новые задачи».
force: bool = False
@router.post("/kn")
def trigger_kn_sweep(
payload: TriggerKnRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
# Defer Celery import so the API works without a broker in dev.
from app.workers.tasks.scrape_kn import (
force_release_lock,
scrape_kn_region,
)
lock_released = False
if payload.force:
lock_released = force_release_lock(payload.region_code, payload.developers)
result = scrape_kn_region.apply_async(
args=[payload.region_code, payload.developers],
kwargs={
"skip_jitter": True,
"extras": payload.extras,
"download_photos": payload.download_photos,
"fetch_flats": payload.fetch_flats,
},
)
return {
"task_id": result.id,
"region_code": payload.region_code,
"developers": payload.developers,
"queued_at": result.date_done.isoformat() if result.date_done else None,
"force": payload.force,
"lock_was_released": lock_released,
}
@router.get("/queue")
def queue_status(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Snapshot of Celery state, optimised for UI poll latency.
- active: from kn_scrape_runs WHERE status='running' (instant, richer info
than celery inspect — includes objects_count/flats_count/requests_count).
- reserved + workers: celery inspect with short timeout (500 ms), called in
a thread so a missing worker can't block the request.
- queue_depth: Redis LLEN on default queue (single round-trip).
- scheduled: omitted — we don't use ETA tasks.
Worst-case latency ≈ 600 ms even if no worker is reachable, vs ~8 s with
the previous 4×2 s blocking inspect calls.
"""
import concurrent.futures
import time
from app.workers.celery_app import celery_app
# 0) Reap zombies by heartbeat. After Resume_Checkpoint refactor the worker
# writes heartbeat_at every ~30 sec (per 10 objects). 10 min без heartbeat
# = точно мёртв. Используем COALESCE(heartbeat_at, started_at) чтобы
# подхватить и legacy-runs (без heartbeat) старше 10 мин.
db.execute(
text(
"""
UPDATE kn_scrape_runs
SET status = 'zombie',
finished_at = NOW(),
error = 'auto-marked: no heartbeat 10+ min'
WHERE status = 'running'
AND finished_at IS NULL
AND COALESCE(heartbeat_at, started_at)
< NOW() - INTERVAL '10 minutes'
"""
)
)
db.commit()
# 1) Active runs straight from DB — no broker round-trip.
active_rows = (
db.execute(
text(
"""
SELECT run_id, started_at, region_codes, developer_ids,
objects_count, flats_count, requests_count
FROM kn_scrape_runs
WHERE status = 'running'
ORDER BY started_at DESC
LIMIT 20
"""
)
)
.mappings()
.all()
)
active: list[dict[str, Any]] = [
{
"worker": "db",
"task_id": f"run-{r['run_id']}",
"name": "scrape_kn_region",
"args": [list(r["region_codes"] or []), list(r["developer_ids"] or [])],
"kwargs": {
"objects": r["objects_count"],
"flats": r["flats_count"],
"requests": r["requests_count"],
},
"time_start": (int(r["started_at"].timestamp()) if r["started_at"] else None),
"eta": None,
}
for r in active_rows
]
# 2) Run reserved + ping in parallel with a tight timeout so the endpoint
# never hangs when the broker is unreachable or worker is gone.
inspect = celery_app.control.inspect(timeout=0.5)
def _flatten(per_worker: dict[str, list[dict[str, Any]]] | None) -> list[dict[str, Any]]:
if not per_worker:
return []
out: list[dict[str, Any]] = []
for worker, tasks in per_worker.items():
for t in tasks or []:
out.append(
{
"worker": worker,
"task_id": t.get("id"),
"name": t.get("name"),
"args": t.get("args"),
"kwargs": t.get("kwargs"),
"time_start": t.get("time_start"),
"eta": t.get("eta"),
}
)
return out
def _safe(fn):
try:
return fn()
except Exception:
return None
deadline = time.monotonic() + 0.8
with concurrent.futures.ThreadPoolExecutor(max_workers=2) as ex:
f_reserved = ex.submit(_safe, inspect.reserved)
f_ping = ex.submit(_safe, inspect.ping)
try:
reserved_raw = f_reserved.result(timeout=max(0.1, deadline - time.monotonic()))
except concurrent.futures.TimeoutError:
reserved_raw = None
try:
ping_resp = f_ping.result(timeout=max(0.1, deadline - time.monotonic()))
except concurrent.futures.TimeoutError:
ping_resp = None
reserved = _flatten(reserved_raw)
workers = list((ping_resp or {}).keys())
# 3) Pending in broker queue (not yet picked up by any worker).
queue_depth: int | None = None
try:
with celery_app.connection_or_acquire() as conn:
with conn.channel() as channel:
queue_depth = channel.client.llen("celery")
except Exception:
queue_depth = None
return {
"workers": workers,
"queue_depth": queue_depth,
"active": active,
"reserved": reserved,
"scheduled": [],
}
class ReleaseLockRequest(BaseModel):
region_code: int = Field(..., ge=1, le=99)
developers: list[str] | None = Field(default=None, max_length=20)
@router.post("/release-lock")
def release_lock(
payload: ReleaseLockRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Принудительно удалить Redis-lock для (region, devs). Использовать когда
зомби-worker оставил lock и новые задачи скипаются с reason='lock_held'."""
from app.workers.tasks.scrape_kn import force_release_lock
released = force_release_lock(payload.region_code, payload.developers)
return {
"region_code": payload.region_code,
"developers": payload.developers,
"released": released,
}
class RevokeRequest(BaseModel):
task_id: str = Field(..., min_length=1, max_length=255)
terminate: bool = False # SIGTERM running task vs just unmark from queue
@router.post("/revoke")
def revoke_task(
payload: RevokeRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Cancel a queued or running task by id."""
from app.workers.celery_app import celery_app
celery_app.control.revoke(payload.task_id, terminate=payload.terminate, signal="SIGTERM")
return {"task_id": payload.task_id, "revoked": True, "terminate": payload.terminate}
@router.get("/failures")
def list_failures(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
run_id: int | None = None,
limit: int = 50,
) -> list[dict[str, Any]]:
"""Per-request failure log for manual browser verification."""
where = ""
params: dict[str, Any] = {"lim": min(limit, 200)}
if run_id is not None:
where = "WHERE run_id = :rid"
params["rid"] = run_id
rows = (
db.execute(
text(
f"""
SELECT failure_id, run_id, obj_id, endpoint, full_url,
http_status, error, body_preview, occurred_at
FROM kn_scrape_failures
{where}
ORDER BY occurred_at DESC
LIMIT :lim
"""
),
params,
)
.mappings()
.all()
)
return [
{
"failure_id": r["failure_id"],
"run_id": r["run_id"],
"obj_id": r["obj_id"],
"endpoint": r["endpoint"],
"full_url": r["full_url"],
"http_status": r["http_status"],
"error": r["error"],
"body_preview": r["body_preview"],
"occurred_at": r["occurred_at"].isoformat() if r["occurred_at"] else None,
}
for r in rows
]
@router.get("/logs")
def list_logs(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
run_id: int | None = None,
since_id: int | None = None,
limit: int = 200,
) -> list[dict[str, Any]]:
"""Per-run progress events. Use since_id to poll incrementally:
pass the highest log_id seen → returns only newer rows."""
where: list[str] = []
params: dict[str, Any] = {"lim": min(limit, 1000)}
if run_id is not None:
where.append("run_id = :rid")
params["rid"] = run_id
if since_id is not None:
where.append("log_id > :sid")
params["sid"] = since_id
where_sql = ("WHERE " + " AND ".join(where)) if where else ""
rows = (
db.execute(
text(
f"""
SELECT log_id, run_id, ts, level, stage, obj_id, message
FROM kn_scrape_log
{where_sql}
ORDER BY log_id DESC
LIMIT :lim
"""
),
params,
)
.mappings()
.all()
)
return [
{
"log_id": r["log_id"],
"run_id": r["run_id"],
"ts": r["ts"].isoformat() if r["ts"] else None,
"level": r["level"],
"stage": r["stage"],
"obj_id": r["obj_id"],
"message": r["message"],
}
for r in rows
]
# NSPD-скрапер УДАЛЁН 2026-05-11: вместо Playwright-based nspd_kn.py теперь
# используется bulk geo-fetcher через rosreestr2coord. См. /admin/scrape/geo
# и backend/app/workers/tasks/nspd_geo.py + nspd_lite.py (urllib).
# История прогонов осталась в nspd_scrape_runs/log + v_scrape_runs_unified.
# ── Objective ETL (Антоновский SQLite → PG) ─────────────────────────────────
@router.post("/noise-sync")
def trigger_noise_sync(
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Manual trigger для синхронизации OSM шумовых источников ЕКБ из Overpass API.
Обычно запускается еженедельно через beat (понед 3:30 МСК).
Этот endpoint — для ad-hoc запуска (например после первого деплоя или
после добавления миграции 84_osm_noise_sources_ekb).
"""
from app.workers.tasks.noise_sync import sync_osm_noise_sources_ekb
result = sync_osm_noise_sources_ekb.apply_async()
return {"task_id": result.id, "queued_at": "now"}
class HarvestQuarterRequest(BaseModel):
"""Параметры ручного запуска harvest одного квартала."""
quarter_cad: str = Field(
...,
min_length=5,
pattern=r"^\d+:\d+:\d+$",
description="3-сегментный кадастровый номер квартала, например '66:41:0204016'",
)
region_code: int = Field(default=66, ge=1, le=99)
include_zouit: bool = Field(default=True)
include_risks: bool = Field(default=False)
@router.post("/nspd/harvest-quarter")
def trigger_harvest_quarter(
payload: HarvestQuarterRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Manual trigger одного quarter harvest (для testing / конкретного квартала).
Запускает harvest_quarter Celery task и возвращает task_id.
Для получения результата — poll через Celery inspect или нождите строку
в nspd_quarter_dumps WHERE quarter_cad = payload.quarter_cad.
"""
from app.workers.tasks.nspd_sync import harvest_quarter
task = harvest_quarter.apply_async(
args=[payload.quarter_cad, payload.region_code],
kwargs={
"include_zouit": payload.include_zouit,
"include_risks": payload.include_risks,
},
)
return {
"task_id": task.id,
"quarter_cad": payload.quarter_cad,
"region_code": payload.region_code,
"include_zouit": payload.include_zouit,
"include_risks": payload.include_risks,
}
@router.post("/pzz-sync")
def trigger_pzz_sync(
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Manual trigger для импорта ПЗЗ территориальных зон ЕКБ из Росреестр PKK6.
Запускать после деплоя миграции 85_pzz_zones_ekb.sql и при необходимости
обновить данные о зонировании (обычно раз в несколько месяцев).
"""
from app.workers.tasks.pzz_sync import sync_pzz_zones_ekb
result = sync_pzz_zones_ekb.apply_async()
return {"task_id": result.id, "queued_at": "now"}
@router.post("/poi-sync")
def trigger_poi_sync(
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Manual trigger для синхронизации OSM POI ЕКБ из Overpass API.
Обычно запускается еженедельно через beat (понед 3:00 МСК).
Этот endpoint — для ad-hoc запуска (например после первого деплоя
или при создании нового тестового участка).
"""
from app.workers.tasks.poi_sync import sync_osm_poi_ekb
result = sync_osm_poi_ekb.apply_async()
return {"task_id": result.id, "queued_at": "now"}
class TriggerObjectiveEtlRequest(BaseModel):
sqlite_path: str | None = Field(
default=None,
description="Override settings.objective_anton_sqlite_path (abs file path)",
)
@router.post("/objective")
def trigger_objective_etl(
payload: TriggerObjectiveEtlRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Запустить ETL Антоновского SQLite → наша PG.
SQLite-файл должен быть доступен внутри Celery-worker контейнера:
- на проде: смонтирован bind-mount-ом из /opt/gendesign/site-finder/
- локально: путь передать через payload.sqlite_path
"""
from app.workers.tasks.objective_etl import import_anton_objective
result = import_anton_objective.apply_async(
kwargs={
"triggered_by": "manual",
"sqlite_path": payload.sqlite_path,
},
)
return {
"task_id": result.id,
"sqlite_path": payload.sqlite_path or settings.objective_anton_sqlite_path,
}
@router.get("/objective/runs")
def list_objective_runs(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
limit: int = 20,
) -> list[dict[str, Any]]:
rows = (
db.execute(
text(
"""
SELECT run_id, started_at, finished_at, heartbeat_at,
group_name, reports_ok, reports_failed,
rows_corpus_room, rows_lots, rows_history,
requests_count, status, error, triggered_by
FROM objective_scrape_runs
ORDER BY started_at DESC
LIMIT :lim
"""
),
{"lim": min(limit, 100)},
)
.mappings()
.all()
)
return [
{
"run_id": r["run_id"],
"started_at": r["started_at"].isoformat() if r["started_at"] else None,
"finished_at": r["finished_at"].isoformat() if r["finished_at"] else None,
"heartbeat_at": r["heartbeat_at"].isoformat() if r["heartbeat_at"] else None,
"group_name": r["group_name"],
"reports_ok": r["reports_ok"],
"reports_failed": r["reports_failed"],
"rows_corpus_room": r["rows_corpus_room"],
"rows_lots": r["rows_lots"],
# Поле в Schema 68 v2 называется rows_history — мы переиспользуем его
# под количество загруженных mapping'ов из jk_objective_match.
"rows_mappings": r["rows_history"],
"requests_count": r["requests_count"],
"status": r["status"],
"error": r["error"],
"triggered_by": r["triggered_by"],
}
for r in rows
]
class TriggerObjectiveSyncRequest(BaseModel):
"""Ручной триггер нашего sync_all_groups (платный API Объектива)."""
groups: list[str] | None = Field(
default=None,
description="Override settings.objective_sync_groups (csv). "
"Если None — берёт дефолт из settings.",
max_length=20,
)
@router.post("/objective/sync-our")
def trigger_objective_sync_our(
payload: TriggerObjectiveSyncRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Запустить НАШ sync_all_groups (тратит limits Объектива).
В отличие от ETL (POST /objective) — это вызовы api.objctv.ru напрямую,
с парсингом payload через app.workers.tasks.scrape_objective.
Полезно когда нужно расширить покрытие за пределов Антоновского ЕКБ
(Свердл.обл целиком + Челябинск + Тюмень + Пермь).
"""
if not settings.objective_api_key:
raise HTTPException(
status_code=503,
detail="OBJECTIVE_API_KEY не задан (settings.objective_api_key пуст)",
)
from app.workers.tasks.scrape_objective import sync_all_groups
groups_eff = payload.groups or [
g.strip() for g in settings.objective_sync_groups.split(",") if g.strip()
]
result = sync_all_groups.apply_async(
kwargs={
"groups": payload.groups, # None → task возьмёт дефолт
"triggered_by": "manual",
},
)
return {
"task_id": result.id,
"groups_planned": groups_eff,
"estimate_minutes": len(groups_eff)
* 3, # ~3 мин на группу (corp_sum + lots_pf + 30s pause)
}
class ObjectiveConfigUpdateRequest(BaseModel):
"""PATCH-style — обновляет только переданные поля."""
cron_schedule: str | None = None
groups_csv: str | None = None
use_ddu: bool | None = None
use_dkp: bool | None = None
period_months_back: int | None = Field(default=None, ge=1, le=24)
inter_group_delay_s: int | None = Field(default=None, ge=0, le=300)
rate_ms: int | None = Field(default=None, ge=0, le=10000)
retries: int | None = Field(default=None, ge=0, le=5)
@router.get("/objective/config")
def get_objective_config(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Текущая динамическая конфигурация Objective sync (single row)."""
from app.services.objective_sync_config import get_config
return get_config(db).to_dict()
@router.put("/objective/config")
def update_objective_config(
payload: ObjectiveConfigUpdateRequest,
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""PATCH-style update. После изменения cron_schedule нужен restart beat,
остальные поля применяются на следующем sync-вызове автоматически."""
from app.services.objective_sync_config import update_config
cfg = update_config(
db,
cron_schedule=payload.cron_schedule,
groups_csv=payload.groups_csv,
use_ddu=payload.use_ddu,
use_dkp=payload.use_dkp,
period_months_back=payload.period_months_back,
inter_group_delay_s=payload.inter_group_delay_s,
rate_ms=payload.rate_ms,
retries=payload.retries,
updated_by="admin-ui",
)
return {
**cfg.to_dict(),
"_note": (
"cron_schedule applied только после restart beat-контейнера; "
"остальные параметры подхватятся при следующем запуске sync_all_groups"
),
}
@router.get("/objective/coverage")
def objective_coverage(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Что у нас в БД сейчас + что лежит в SQLite Антона (size, last modified).
Помогает понять стоит ли запускать ETL: если SQLite старше последнего
успешного run'а — данные не изменятся.
"""
from app.services.objective_etl import get_sqlite_info
pg_row = (
db.execute(
text(
"""
SELECT
(SELECT COUNT(*) FROM objective_lots) AS lots,
(SELECT COUNT(*) FROM objective_corpus_room_month) AS crm,
(SELECT COUNT(*) FROM objective_complex_mapping) AS mappings,
(SELECT MAX(snapshot_date) FROM objective_lots) AS last_lot_snapshot,
(SELECT MAX(finished_at) FROM objective_scrape_runs
WHERE status = 'done'
AND triggered_by IN ('manual','beat','api')) AS last_run_at
"""
)
)
.mappings()
.first()
)
sqlite_info = get_sqlite_info(settings.objective_anton_sqlite_path)
return {
"pg": {
"lots": int(pg_row["lots"] or 0),
"corp_room_month": int(pg_row["crm"] or 0),
"mappings": int(pg_row["mappings"] or 0),
"last_lot_snapshot": pg_row["last_lot_snapshot"].isoformat()
if pg_row["last_lot_snapshot"]
else None,
"last_run_at": pg_row["last_run_at"].isoformat() if pg_row["last_run_at"] else None,
},
"sqlite": sqlite_info,
}
# ── NSPD geo bulk-jobs (resume-friendly) ────────────────────────────────────
class EnqueueGeoJobRequest(BaseModel):
"""Создать новый bulk geo-job."""
name: str | None = Field(default=None, max_length=200)
job_kind: str = Field(..., pattern="^(quarters|parcels|buildings|mixed)$")
source_kind: str = Field(
default="manual_list", pattern="^(manual_list|rosreestr_pending|region_bbox)$"
)
cad_nums: list[str] = Field(
default_factory=list, max_length=50000, description="Список cad-номеров для обработки"
)
thematic_id: int = Field(default=2, ge=1, le=15, description="1=parcel, 2=quarter, 5=building")
region_codes: list[int] | None = Field(
default=None, max_length=20, description="Для source=rosreestr_pending"
)
rate_ms: int = Field(default=600, ge=100, le=10000)
@router.post("/geo/jobs")
def enqueue_geo_job(
payload: EnqueueGeoJobRequest,
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Создать bulk geo-job и поставить в очередь.
source_kind:
- manual_list: cad_nums передан явно
- rosreestr_pending: автоматически набрать из rosreestr_deals.quarter_cad_number
которых ещё нет в cad_quarters_geom (для region_codes если задано)
- region_bbox: TODO (для будущего spatial-bulk)
"""
from app.workers.tasks.nspd_geo import enqueue_geo_job as enqueue_helper
from app.workers.tasks.nspd_geo import process_nspd_geo_job
cad_with_thematic: list[tuple[str, int]] = []
if payload.source_kind == "manual_list":
cad_with_thematic = [
(c.strip(), payload.thematic_id) for c in payload.cad_nums if c.strip()
]
elif payload.source_kind == "rosreestr_pending":
regions = payload.region_codes or [66]
rows = db.execute(
text(
"""
SELECT DISTINCT quarter_cad_number AS cad
FROM rosreestr_deals
WHERE region_code = ANY(:rc)
AND doc_type = 'ДДУ'
AND realestate_type_code = '002001003000'
AND quarter_cad_number IS NOT NULL
AND quarter_cad_number NOT LIKE :bp
AND quarter_cad_number NOT LIKE :bs
AND NOT EXISTS (SELECT 1 FROM cad_quarters_geom g
WHERE g.cad_number = rosreestr_deals.quarter_cad_number)
LIMIT 50000
"""
),
{"rc": regions, "bp": "00:00:%", "bs": "%:0000000"},
).all()
cad_with_thematic = [(r[0], 2) for r in rows]
else:
raise HTTPException(
status_code=400,
detail=f"source_kind={payload.source_kind} not implemented yet",
)
if not cad_with_thematic:
raise HTTPException(status_code=400, detail="no targets to process")
job_id = enqueue_helper(
name=payload.name,
job_kind=payload.job_kind,
source_kind=payload.source_kind,
source_params={"region_codes": payload.region_codes, "thematic_id": payload.thematic_id},
cad_nums_with_thematic=cad_with_thematic,
rate_ms=payload.rate_ms,
triggered_by="manual",
)
from app.services.job_settings import get_setting_value
geo_queue = get_setting_value("nspd_geo", "queue_name", "geo")
process_nspd_geo_job.apply_async(args=[job_id], queue=geo_queue)
return {
"job_id": job_id,
"targets_total": len(cad_with_thematic),
"estimate_minutes": round(len(cad_with_thematic) * payload.rate_ms / 1000 / 60, 1),
}
class BulkGeoEnqueueRequest(BaseModel):
"""Параметры для параллельного backfill geo по Свердловской обл."""
parallelism: int = Field(default=5, ge=1, le=10)
thematic_ids: list[int] = Field(
default=[2],
description="Список thematic_id: 1=parcel, 2=quarter, 5=building. Можно несколько.",
)
region_codes: list[int] = Field(default=[66], description="Список region кодов")
only_ddu: bool = Field(
default=False,
description="True = только ДДУ (002001003000); False = все cad-кварталы",
)
source: str = Field(
default="rosreestr_pending",
pattern="^(rosreestr_pending|all_in_region)$",
description=(
"rosreestr_pending — cad-номера из rosreestr_deals которых нет в geo-таблице; "
"all_in_region — UNION всех cad из rosreestr_deals + cad_buildings + complexes"
),
)
# Маппинг thematic_id → таблица проверки существования + колонка + job_kind-метка
_THEMATIC_META: dict[int, dict[str, str]] = {
1: {"exists_table": "cad_parcels_geom", "exists_col": "cad_num", "label": "parcels"},
2: {"exists_table": "cad_quarters_geom", "exists_col": "cad_number", "label": "quarters"},
5: {"exists_table": "cad_buildings", "exists_col": "cad_num", "label": "buildings"},
}
def _collect_pending_cad(
db: Session,
thematic_id: int,
region_codes: list[int],
only_ddu: bool,
) -> list[str]:
"""Собрать cad-номера из rosreestr_deals которых нет в соответствующей geo-таблице."""
meta = _THEMATIC_META.get(thematic_id)
if meta is None:
raise HTTPException(
status_code=400,
detail=f"thematic_id={thematic_id} не поддерживается (допустимы: 1, 2, 5)",
)
ddu_filter = (
"AND doc_type = 'ДДУ' AND realestate_type_code = '002001003000'" if only_ddu else ""
)
exists_table = meta["exists_table"]
exists_col = meta["exists_col"]
rows = db.execute(
text(
f"""
SELECT DISTINCT quarter_cad_number AS cad
FROM rosreestr_deals
WHERE region_code = ANY(:rc)
{ddu_filter}
AND quarter_cad_number IS NOT NULL
AND quarter_cad_number NOT LIKE :bp
AND quarter_cad_number NOT LIKE :bs
AND NOT EXISTS (
SELECT 1 FROM {exists_table} g
WHERE g.{exists_col} = rosreestr_deals.quarter_cad_number
)
LIMIT 50000
"""
),
{"rc": region_codes, "bp": "00:00:%", "bs": "%:0000000"},
).all()
return [r[0] for r in rows]
def _collect_all_in_region(
db: Session,
region_codes: list[int],
) -> list[str]:
"""UNION всех cad-номеров из rosreestr_deals + cad_buildings + complexes.cad_quarter
с фильтром по region prefix (66xx для кодов региона 66)."""
rows = db.execute(
text("""
SELECT DISTINCT cad FROM (
SELECT quarter_cad_number AS cad
FROM rosreestr_deals
WHERE quarter_cad_number IS NOT NULL
AND region_code = ANY(:rc)
UNION
SELECT cad_num AS cad
FROM cad_buildings
WHERE cad_num IS NOT NULL
AND cad_num ~ :region_re
UNION
SELECT cad_quarter AS cad
FROM complexes
WHERE cad_quarter IS NOT NULL
AND cad_quarter ~ :region_re
) sub
WHERE cad NOT LIKE :bp
AND cad NOT LIKE :bs
LIMIT 100000
"""),
{
"rc": region_codes,
"region_re": "^(" + "|".join(str(rc) for rc in region_codes) + "):",
"bp": "00:00:%",
"bs": "%:0000000",
},
).all()
return [r[0] for r in rows]
@router.post("/geo/bulk")
def bulk_enqueue_geo(
payload: BulkGeoEnqueueRequest,
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Разбить pending cad-номера на N чанков и запустить N×len(thematic_ids) geo-jobs.
source=rosreestr_pending: для каждого thematic_id выбирает cad из rosreestr_deals
которых нет в соответствующей geo-таблице.
source=all_in_region: UNION из rosreestr_deals + cad_buildings + complexes — один
набор для всех thematic_ids (каждый thematic_id обрабатывает весь список).
"""
from app.services.job_settings import get_setting_value
from app.workers.tasks.nspd_geo import enqueue_geo_job as enqueue_helper
from app.workers.tasks.nspd_geo import process_nspd_geo_job
geo_queue = get_setting_value("nspd_geo", "queue_name", "geo")
jobs_summary: list[dict[str, Any]] = []
for thematic_id in payload.thematic_ids:
if thematic_id not in _THEMATIC_META:
raise HTTPException(
status_code=400,
detail=f"thematic_id={thematic_id} не поддерживается (допустимы: 1, 2, 5)",
)
meta = _THEMATIC_META[thematic_id]
# 1) Собрать cad-номера
if payload.source == "rosreestr_pending":
all_cad = _collect_pending_cad(db, thematic_id, payload.region_codes, payload.only_ddu)
else: # all_in_region
all_cad = _collect_all_in_region(db, payload.region_codes)
if not all_cad:
jobs_summary.append(
{
"thematic_id": thematic_id,
"job_ids": [],
"targets_total": 0,
"parallelism": 0,
"note": "нет cad-номеров для backfill",
}
)
continue
# 2) Разбить на чанки
pending_total = len(all_cad)
n_jobs = min(payload.parallelism, pending_total)
chunk_size, remainder = divmod(pending_total, n_jobs)
chunks: list[list[str]] = []
start = 0
for i in range(n_jobs):
end = start + chunk_size + (1 if i < remainder else 0)
chunks.append(all_cad[start:end])
start = end
# 3) Создать jobs
job_ids: list[int] = []
label = meta["label"]
for idx, chunk in enumerate(chunks):
cad_with_thematic = [(c, thematic_id) for c in chunk]
job_id = enqueue_helper(
name=f"bulk_{label}_t{thematic_id}_{idx + 1}/{n_jobs}",
job_kind=label,
source_kind=f"{payload.source}_chunk",
source_params={
"region_codes": payload.region_codes,
"thematic_id": thematic_id,
"source": payload.source,
},
cad_nums_with_thematic=cad_with_thematic,
triggered_by="bulk_admin",
)
process_nspd_geo_job.apply_async(args=[job_id], queue=geo_queue)
job_ids.append(job_id)
jobs_summary.append(
{
"thematic_id": thematic_id,
"job_ids": job_ids,
"targets_total": pending_total,
"parallelism": n_jobs,
}
)
if not any(j["targets_total"] > 0 for j in jobs_summary):
raise HTTPException(status_code=400, detail="Нет cad-номеров для backfill (все thematic)")
return {"jobs": jobs_summary}
@router.get("/geo/jobs")
def list_geo_jobs(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
limit: int = 30,
) -> list[dict[str, Any]]:
"""Список последних geo-jobs (для UI dashboard)."""
rows = (
db.execute(
text(
"""
SELECT job_id, name, job_kind, source_kind, status, triggered_by,
started_at, finished_at, heartbeat_at,
targets_total, targets_done, targets_failed, targets_skipped,
requests_count, waf_blocked_count, error,
rate_ms, created_at
FROM nspd_geo_jobs
ORDER BY created_at DESC
LIMIT :lim
"""
),
{"lim": min(limit, 100)},
)
.mappings()
.all()
)
return [
{
"job_id": r["job_id"],
"name": r["name"],
"job_kind": r["job_kind"],
"source_kind": r["source_kind"],
"status": r["status"],
"triggered_by": r["triggered_by"],
"started_at": r["started_at"].isoformat() if r["started_at"] else None,
"finished_at": r["finished_at"].isoformat() if r["finished_at"] else None,
"heartbeat_at": r["heartbeat_at"].isoformat() if r["heartbeat_at"] else None,
"targets_total": r["targets_total"],
"targets_done": r["targets_done"],
"targets_failed": r["targets_failed"],
"targets_skipped": r["targets_skipped"],
"requests_count": r["requests_count"],
"waf_blocked_count": r["waf_blocked_count"],
"error": r["error"],
"rate_ms": r["rate_ms"],
"created_at": r["created_at"].isoformat() if r["created_at"] else None,
"progress_pct": round(
100.0 * (r["targets_done"] or 0) / max(r["targets_total"] or 1, 1), 1
),
}
for r in rows
]
@router.post("/geo/jobs/{job_id}/cancel")
def cancel_geo_job(
job_id: int,
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Пометить job как cancelled. Worker увидит при следующей итерации."""
db.execute(
text(
"""
UPDATE nspd_geo_jobs SET status = 'cancelled', finished_at = NOW(),
error = COALESCE(error, 'cancelled by admin')
WHERE job_id = :id AND status IN ('queued','running','paused')
"""
),
{"id": job_id},
)
db.commit()
return {"job_id": job_id, "cancelled": True}
@router.post("/geo/jobs/{job_id}/resume")
def resume_geo_job(
job_id: int,
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Re-enqueue paused/failed job. Resume idempotent через pending targets."""
from app.services.job_settings import get_setting_value
from app.workers.tasks.nspd_geo import process_nspd_geo_job
db.execute(
text("UPDATE nspd_geo_jobs SET status='queued', error=NULL WHERE job_id=:id"),
{"id": job_id},
)
db.commit()
geo_queue = get_setting_value("nspd_geo", "queue_name", "geo")
process_nspd_geo_job.apply_async(args=[job_id], queue=geo_queue)
return {"job_id": job_id, "resumed": True}
# ── Unified scrape dashboard (поверх v_scrape_runs_unified / v_scrape_log_unified) ──
@router.get("/all/runs")
def list_all_runs(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
scraper_type: str | None = None,
limit: int = 30,
) -> list[dict[str, Any]]:
"""Унифицированный список прогонов (kn + nspd + objective).
Поверх v_scrape_runs_unified. Если scraper_type не задан — все 3.
Используется главной dashboard /admin/scrape/all.
"""
where = "" if not scraper_type else "WHERE scraper_type = :st"
params: dict[str, Any] = {"lim": min(limit, 200)}
if scraper_type:
params["st"] = scraper_type
rows = (
db.execute(
text(
f"""
SELECT scraper_type, run_id, started_at, finished_at, heartbeat_at,
status, error, triggered_by, scope, requests_count,
items_ok, items_failed, sub_items_ok,
progress_idx, progress_total, extra
FROM v_scrape_runs_unified
{where}
ORDER BY started_at DESC NULLS LAST
LIMIT :lim
"""
),
params,
)
.mappings()
.all()
)
return [
{
"scraper_type": r["scraper_type"],
"run_id": r["run_id"],
"started_at": r["started_at"].isoformat() if r["started_at"] else None,
"finished_at": r["finished_at"].isoformat() if r["finished_at"] else None,
"heartbeat_at": r["heartbeat_at"].isoformat() if r["heartbeat_at"] else None,
"status": r["status"],
"error": r["error"],
"triggered_by": r["triggered_by"],
"scope": r["scope"],
"requests_count": r["requests_count"],
"items_ok": r["items_ok"],
"items_failed": r["items_failed"],
"sub_items_ok": r["sub_items_ok"],
"progress_idx": r["progress_idx"],
"progress_total": r["progress_total"],
"extra": r["extra"],
}
for r in rows
]
@router.get("/all/logs")
def list_all_logs(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
scraper_type: str | None = None,
run_id: int | None = None,
limit: int = 200,
) -> list[dict[str, Any]]:
"""Унифицированный список логов (kn + nspd). Objective пока не пишет log."""
where: list[str] = []
params: dict[str, Any] = {"lim": min(limit, 1000)}
if scraper_type:
where.append("scraper_type = :st")
params["st"] = scraper_type
if run_id is not None:
where.append("run_id = :rid")
params["rid"] = run_id
where_sql = ("WHERE " + " AND ".join(where)) if where else ""
rows = (
db.execute(
text(
f"""
SELECT scraper_type, log_id, run_id, ts, level, stage, entity_id, message
FROM v_scrape_log_unified
{where_sql}
ORDER BY log_id DESC
LIMIT :lim
"""
),
params,
)
.mappings()
.all()
)
return [
{
"scraper_type": r["scraper_type"],
"log_id": r["log_id"],
"run_id": r["run_id"],
"ts": r["ts"].isoformat() if r["ts"] else None,
"level": r["level"],
"stage": r["stage"],
"entity_id": r["entity_id"],
"message": r["message"],
}
for r in rows
]
# ── DomRF (kn) — runs list ───────────────────────────────────────────────────
@router.get("/runs")
def list_runs(
db: Annotated[Session, Depends(get_db)],
_: AdminTokenAuth,
limit: int = 20,
) -> list[dict[str, Any]]:
rows = (
db.execute(
text(
"""
SELECT run_id, started_at, finished_at, region_codes, developer_ids,
objects_count, flats_count, requests_count, status, error, snapshot_date
FROM kn_scrape_runs
ORDER BY started_at DESC
LIMIT :lim
"""
),
{"lim": min(limit, 100)},
)
.mappings()
.all()
)
return [
{
"run_id": r["run_id"],
"started_at": r["started_at"].isoformat() if r["started_at"] else None,
"finished_at": r["finished_at"].isoformat() if r["finished_at"] else None,
"region_codes": list(r["region_codes"]) if r["region_codes"] else [],
"developer_ids": list(r["developer_ids"]) if r["developer_ids"] else [],
"objects_count": r["objects_count"],
"flats_count": r["flats_count"],
"requests_count": r["requests_count"],
"status": r["status"],
"error": r["error"],
"snapshot_date": r["snapshot_date"].isoformat() if r["snapshot_date"] else None,
}
for r in rows
]
# ── Ekburg construction permits (РНС/РВЭ ЕКБ) ────────────────────────────────
class TriggerEkburgPermitsRequest(BaseModel):
year: int | None = Field(
default=None,
ge=2022,
le=2030,
description=(
"Если None — refresh_all (все 5 лет 2022-2026). "
"Иначе refresh_year(year) для конкретного года."
),
)
@router.post("/ekburg-permits")
def trigger_ekburg_permits(
payload: TriggerEkburgPermitsRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Manual trigger для синхронизации РНС/РВЭ ЕКБ из екатеринбург.рф (xlsx).
Обычно запускается раз в месяц через beat (1-го числа 02:00 UTC).
Этот endpoint — для ad-hoc запуска (после первого деплоя или для smoke-теста).
- year=None → refresh_all: скачивает 5 xlsx (2022-2026), ~3-8 мин.
- year=2026 → refresh_year(2026): один файл, ~1 мин.
"""
from app.workers.tasks.ekburg_permits_sync import refresh_all, refresh_year
if payload.year is None:
result = refresh_all.apply_async()
scope = "all_years_2022_2026"
else:
result = refresh_year.apply_async(args=[payload.year])
scope = f"year_{payload.year}"
return {"task_id": result.id, "scope": scope, "queued_at": "now"}
class TriggerKnCatalogObjectsRequest(BaseModel):
region_code: int = Field(default=66, ge=1, le=99)
max_objects: int | None = Field(default=None, ge=1, le=2000)
force: bool = Field(
default=False,
description=(
"True — игнорировать фильтр 'уже сегодня обновлён' и грузить ВСЕ объекты "
"последнего snapshot ('Загрузить все'). По умолчанию пропускает то, "
"что уже скраплено сегодня."
),
)
@router.post("/kn-catalog-objects")
def trigger_kn_catalog_objects(
payload: TriggerKnCatalogObjectsRequest,
_: AdminTokenAuth,
) -> dict[str, Any]:
"""Manual trigger для catalog-OBJECT scraper (заполняет wall_type, energy_eff,
ceiling_height_m, parking_*, playground_*, scores из SSR __NEXT_DATA__).
Beat schedule: Tuesday 04:00 UTC, batch 300/run. Этот endpoint — для ad-hoc
запуска (smoke-тест после деплоя или повторный pass для свежесозданных
объектов до next beat fire).
- max_objects=None → дефолтный лимит таска (300).
- max_objects=3 → smoke-тест.
- force=True → "Загрузить все": игнорирует skip-today, грузит всё подряд.
"""
from app.workers.tasks.scrape_kn_catalog_objects import scrape_kn_catalog_objects
kwargs: dict[str, Any] = {
"region_code": payload.region_code,
"force": payload.force,
}
if payload.max_objects is not None:
kwargs["max_objects"] = payload.max_objects
result = scrape_kn_catalog_objects.apply_async(kwargs=kwargs)
return {
"task_id": result.id,
"region_code": payload.region_code,
"max_objects": payload.max_objects,
"force": payload.force,
"queued_at": "now",
}