Improve ingestion concurrency safety and batch transaction robustness
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@ -1,6 +1,7 @@
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from datetime import timedelta
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import hashlib
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from contextlib import contextmanager
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from django.db.models import Q
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from django.db import connection
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from django.utils import timezone
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from apps.ingestion.models import IngestionError, IngestionRun
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@ -62,14 +63,59 @@ def mark_ingestion_run_skipped(*, provider_namespace: str, job_type: str, reason
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return run
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def has_running_ingestion_run(*, provider_namespace: str, job_type: str, within_minutes: int) -> bool:
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cutoff = timezone.now() - timedelta(minutes=max(within_minutes, 1))
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return IngestionRun.objects.filter(
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def _build_ingestion_lock_key(*, provider_namespace: str, job_type: str) -> int:
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digest = hashlib.blake2b(
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f"{provider_namespace}:{job_type}".encode("utf-8"),
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digest_size=8,
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).digest()
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return int.from_bytes(digest, byteorder="big", signed=True)
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def try_acquire_ingestion_lock(*, provider_namespace: str, job_type: str) -> tuple[bool, int]:
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lock_key = _build_ingestion_lock_key(provider_namespace=provider_namespace, job_type=job_type)
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with connection.cursor() as cursor:
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cursor.execute("SELECT pg_try_advisory_lock(%s);", [lock_key])
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acquired = bool(cursor.fetchone()[0])
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return acquired, lock_key
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def release_ingestion_lock(*, lock_key: int) -> None:
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with connection.cursor() as cursor:
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cursor.execute("SELECT pg_advisory_unlock(%s);", [lock_key])
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@contextmanager
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def ingestion_advisory_lock(*, provider_namespace: str, job_type: str):
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acquired, lock_key = try_acquire_ingestion_lock(
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provider_namespace=provider_namespace,
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job_type=job_type,
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status=IngestionRun.RunStatus.RUNNING,
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started_at__gte=cutoff,
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).filter(Q(finished_at__isnull=True) | Q(finished_at__gte=cutoff)).exists()
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)
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try:
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yield acquired
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finally:
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if acquired:
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release_ingestion_lock(lock_key=lock_key)
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def update_ingestion_run_progress(
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*,
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run: IngestionRun,
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completed_step: str,
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step_summary: dict,
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source_counts: dict | None = None,
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) -> IngestionRun:
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context = dict(run.context or {})
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completed_steps = list(context.get("completed_steps") or [])
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completed_steps.append(completed_step)
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context["completed_steps"] = completed_steps
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step_summaries = dict(context.get("step_summaries") or {})
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step_summaries[completed_step] = step_summary
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context["step_summaries"] = step_summaries
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if source_counts is not None:
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context["source_counts"] = source_counts
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run.context = context
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run.save(update_fields=["context"])
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return run
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def log_ingestion_error(*, run: IngestionRun, message: str, provider_namespace: str, severity: str = IngestionError.Severity.ERROR, entity_type: str = "", external_id: str = "", raw_payload: dict | None = None) -> IngestionError:
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