86 lines
4.2 KiB
Python
86 lines
4.2 KiB
Python
"""Automatic refresh of the official NCM dataset (Siscomex JSON): staging -> validate -> atomic promotion, keeping the last valid dataset on ANY failure.
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Every attempt leaves a SourceRefreshRun (url, time, sha256, version label, record count, status, error) for the panel. Nothing here touches Agents or providers.
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"""
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from __future__ import annotations
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import logging
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import threading
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import time
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from datetime import datetime, timedelta, timezone
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import httpx
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from sqlalchemy import select
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from ..config import settings
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from ..models import Dataset, SourceRefreshRun
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from .ncm import parse_ncm_payload
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from .service import DatasetService
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logger = logging.getLogger("gti_fiscal_hub")
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MIN_RATIO = 0.9 # a payload with < 90% of the active record count is treated as a broken download, never promoted
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INTERVAL = timedelta(hours=24)
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RETRY_AFTER_FAILURE = timedelta(hours=6)
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def _fetch(url: str) -> bytes:
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response = httpx.get(url, timeout=max(settings.http_timeout_seconds, 60), follow_redirects=True, headers={"User-Agent": "GTIFiscalHub/1.0 (official dataset refresh)"})
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response.raise_for_status()
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return response.content
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def refresh_ncm(session, fetch=_fetch, url: str | None = None) -> SourceRefreshRun:
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url = url or settings.ncm_dataset_url
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run = SourceRefreshRun(source="NCM", source_url=url, status="RUNNING")
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session.add(run)
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session.commit()
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try:
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content = fetch(url) # staging: bytes in memory, nothing written to the active dataset yet
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parsed = parse_ncm_payload(content) # schema validation
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run.sha256, run.version_label, run.record_count = parsed.sha256, (parsed.version or "")[:64], len(parsed.entries)
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active = session.scalar(select(Dataset).where(Dataset.kind == "NCM", Dataset.status == "ACTIVE"))
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if active is not None and active.sha256 == parsed.sha256:
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run.status = "UNCHANGED"
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else:
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if active is not None and len(parsed.entries) < MIN_RATIO * (active.record_count or 0):
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raise ValueError(f"implausible record count {len(parsed.entries)} vs active {active.record_count}")
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DatasetService(session).import_payload(parsed, url, datetime.now(timezone.utc)) # atomic: one transaction, old ACTIVE superseded only at the end
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run.status = "UPDATED"
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except Exception as error: # keep the last valid dataset
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session.rollback()
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run = session.get(SourceRefreshRun, run.id)
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run.status, run.error = "FAILED", f"{type(error).__name__}: {error}"[:300]
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logger.warning("NCM refresh failed: %s", run.error)
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run.finished_at = datetime.now(timezone.utc)
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session.commit()
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return run
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def last_runs(session, source: str = "NCM", limit: int = 5):
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return session.scalars(select(SourceRefreshRun).where(SourceRefreshRun.source == source).order_by(SourceRefreshRun.id.desc()).limit(limit)).all()
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def _due(session) -> bool:
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last = session.scalar(select(SourceRefreshRun).where(SourceRefreshRun.source == "NCM", SourceRefreshRun.status != "RUNNING").order_by(SourceRefreshRun.id.desc()).limit(1))
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if last is None or last.finished_at is None:
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return True
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finished = last.finished_at if last.finished_at.tzinfo else last.finished_at.replace(tzinfo=timezone.utc)
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return datetime.now(timezone.utc) - finished >= (RETRY_AFTER_FAILURE if last.status == "FAILED" else INTERVAL)
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def start_scheduler(session_factory, first_delay: float = 90.0):
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"""Daemon thread: checks hourly whether a refresh is due (survives restarts because due-ness is derived from SourceRefreshRun)."""
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def loop():
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time.sleep(first_delay)
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while True:
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try:
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with session_factory() as session:
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if _due(session):
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refresh_ncm(session)
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except Exception: # never let the scheduler die
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logger.exception("official refresh loop error")
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time.sleep(3600)
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thread = threading.Thread(target=loop, name="official-refresh", daemon=True)
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thread.start()
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return thread
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