gendesign/tradein-mvp/backend/app/services/scrape_runs.py
lekss361 2914ff2ef2
All checks were successful
Deploy Trade-In / build-frontend (push) Successful in 23s
Deploy Trade-In / deploy (push) Successful in 22s
Deploy Trade-In / changes (push) Successful in 5s
Deploy Trade-In / build-backend (push) Successful in 38s
feat(tradein): city sweep — auto ЕКБ pipeline (#477)
Stage 4d: full city sweep ЕКБ (5 anchors × N pages + enrichment + cooperative cancel).

- avito.py fetch_around(pages=N) — pagination backward compat default=1
- scrape_pipeline.run_avito_city_sweep — anchors loop + heartbeat + cancel check
- scrape_runs.py utility (create/heartbeat/done/failed/cancelled/list_recent)
- admin.py 3 endpoints: start (BackgroundTasks) / runs / cancel
- migration 051 ADD COLUMN IF NOT EXISTS + DROP/ADD CHECK constraint (text+CHECK, не enum — safe в transaction)
- deploy/avito-city-sweep.sh с random delay 0-3h (anti-pattern)
- 16 offline tests

Deep review approved: migration idempotent, cancel priority correct (mark_done guarded by status='running'), no SQL injection, psycopg v3 compliant.
2026-05-23 14:38:07 +00:00

128 lines
4.1 KiB
Python

"""Utility functions для scrape_runs table — tracking long-running pipeline runs.
Таблица scrape_runs создана в 015_scrape_runs.sql.
Расширена в 051_scrape_runs_extend.sql: params/counters/error/finished_at/cancelled.
"""
from __future__ import annotations
import json
import logging
from typing import Any
from sqlalchemy import text
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
def create_run(db: Session, *, source: str, params: dict[str, Any]) -> int:
"""INSERT scrape_runs(source, status='running', params, started_at=NOW()).
run_type DEFAULT 'city_sweep' (из 051 миграции).
Returns run_id (bigint).
"""
row = db.execute(
text(
"""
INSERT INTO scrape_runs (source, status, params, started_at, heartbeat_at)
VALUES (:source, 'running', CAST(:params AS jsonb), NOW(), NOW())
RETURNING id
"""
),
{"source": source, "params": json.dumps(params, ensure_ascii=False)},
).fetchone()
db.commit()
assert row is not None, "scrape_runs INSERT returned no id"
return int(row.id)
def update_heartbeat(db: Session, run_id: int, counters: dict[str, int]) -> None:
"""UPDATE heartbeat_at=NOW(), counters=:counters."""
db.execute(
text(
"""
UPDATE scrape_runs
SET heartbeat_at = NOW(), counters = CAST(:counters AS jsonb)
WHERE id = :run_id
"""
),
{"run_id": run_id, "counters": json.dumps(counters)},
)
db.commit()
def is_cancelled(db: Session, run_id: int) -> bool:
"""Проверить status='cancelled' (cooperative cancel в long-running pipeline)."""
row = db.execute(
text("SELECT status FROM scrape_runs WHERE id = :id"),
{"id": run_id},
).fetchone()
return row is not None and row.status == "cancelled"
def mark_done(db: Session, run_id: int, counters: dict[str, int]) -> None:
"""Финализация run: status='done', finished_at=NOW(), counters."""
db.execute(
text(
"""
UPDATE scrape_runs
SET status = 'done', finished_at = NOW(), heartbeat_at = NOW(),
counters = CAST(:counters AS jsonb)
WHERE id = :run_id AND status = 'running'
"""
),
{"run_id": run_id, "counters": json.dumps(counters)},
)
db.commit()
def mark_failed(db: Session, run_id: int, error: str, counters: dict[str, int]) -> None:
"""Финализация run: status='failed', error (первые 1000 символов)."""
db.execute(
text(
"""
UPDATE scrape_runs
SET status = 'failed', finished_at = NOW(), heartbeat_at = NOW(),
error = :error, counters = CAST(:counters AS jsonb)
WHERE id = :run_id AND status = 'running'
"""
),
{"run_id": run_id, "error": error[:1000], "counters": json.dumps(counters)},
)
db.commit()
def mark_cancelled(db: Session, run_id: int) -> bool:
"""Set status='cancelled' если currently 'running'. Returns True если cancelled."""
result = db.execute(
text(
"""
UPDATE scrape_runs
SET status = 'cancelled', finished_at = NOW()
WHERE id = :run_id AND status = 'running'
RETURNING id
"""
),
{"run_id": run_id},
).fetchone()
db.commit()
return result is not None
def list_recent(db: Session, *, source: str, limit: int = 10) -> list[dict[str, Any]]:
"""Список последних N runs по source, в порядке убывания started_at."""
rows = db.execute(
text(
"""
SELECT id AS run_id, source, status, params, counters, error,
started_at, finished_at, heartbeat_at
FROM scrape_runs
WHERE source = :source
ORDER BY started_at DESC NULLS LAST
LIMIT :limit
"""
),
{"source": source, "limit": limit},
).mappings().all()
return [dict(r) for r in rows]