75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
import time
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from django.core.management.base import BaseCommand
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from django.db import connection, transaction
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from django.utils import timezone
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from finance.exporting import process_formula_export
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from finance.importing import process_dataset
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from finance.models import Dataset, FormulaExport
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class Command(BaseCommand):
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help = "Process durable import and formula-export jobs"
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def add_arguments(self, parser):
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parser.add_argument("--once", action="store_true")
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def handle(self, *args, **options):
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postgres = connection.vendor == "postgresql"
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if postgres:
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with connection.cursor() as cursor:
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cursor.execute("SELECT pg_try_advisory_lock(782146291)")
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if not cursor.fetchone()[0]:
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self.stdout.write("Another worker owns the database lock")
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return
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try:
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self.run_jobs(options, postgres)
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finally:
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if postgres:
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with connection.cursor() as cursor:
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cursor.execute("SELECT pg_advisory_unlock(782146291)")
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def run_jobs(self, options, recover):
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while True:
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processed = self._next_import(recover)
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if not processed:
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processed = self._next_export(recover)
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if options["once"]:
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return
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if not processed:
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time.sleep(2)
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def _claim(self, model, states):
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with transaction.atomic():
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qs = model.objects.filter(status__in=states).order_by("created_at")
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if connection.features.has_select_for_update_skip_locked:
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qs = qs.select_for_update(skip_locked=True)
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item = qs.first()
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if not item:
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return None
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updated = model.objects.filter(pk=item.pk, status__in=states).update(status="processing")
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return item if updated else None
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def _next_import(self, recover):
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states = ["queued", "processing"] if recover else ["queued"]
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item = self._claim(Dataset, states)
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if not item:
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return False
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Dataset.objects.filter(pk=item.pk).update(started_at=timezone.now())
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result = process_dataset(item.pk)
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self.stdout.write(f"{result.pk}: {result.status}, {result.row_count} rows")
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return True
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def _next_export(self, recover):
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states = ["queued", "processing"] if recover else ["queued"]
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item = self._claim(FormulaExport, states)
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if not item:
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return False
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try:
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stats = process_formula_export(item.pk)
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self.stdout.write(f"{item.pk}: formula export ready, {stats['rows']} rows")
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except Exception as exc:
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self.stderr.write(f"Formula export {item.pk} failed: {exc}")
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return True
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