Files
lasuite-docs/src/backend/core/tasks/search.py
T
Fabre FlorianandQuentin BEY 780bcb360a ✨(backend) use batches in indexing task
Reduce the number of Find API calls by grouping all the latest changes
for indexation : send all the documents updated or deleted since the
triggering of the task.

Signed-off-by: Fabre Florian <ffabre@hybird.org>
2025-12-16 22:10:03 +01:00

98 lines
2.9 KiB
Python

"""Trigger document indexation using celery task."""
from logging import getLogger
from django.conf import settings
from django.core.cache import cache
from django.db.models import Q
from django_redis.cache import RedisCache
from core import models
from core.services.search_indexers import (
get_document_indexer,
)
from impress.celery_app import app
logger = getLogger(__file__)
@app.task
def document_indexer_task(document_id):
"""Celery Task : Sends indexation query for a document."""
indexer = get_document_indexer()
if indexer is None:
return
logger.info("Start document %s indexation", document_id)
indexer.index(models.Document.objects.filter(pk=document_id))
def batch_indexer_throttle_acquire(timeout: int = 0, atomic: bool = True):
"""
Enable the task throttle flag for a delay.
Uses redis locks if available to ensure atomic changes
"""
key = "document-batch-indexer-throttle"
# Redis is used as cache database (not in tests). Use the lock feature here
# to ensure atomicity of changes to the throttle flag.
if isinstance(cache, RedisCache) and atomic:
with cache.locks(key):
return batch_indexer_throttle_acquire(timeout, atomic=False)
# Use add() here :
# - set the flag and returns true if not exist
# - do nothing and return false if exist
return cache.add(key, 1, timeout=timeout)
@app.task
def batch_document_indexer_task(timestamp):
"""Celery Task : Sends indexation query for a batch of documents."""
indexer = get_document_indexer()
if indexer:
queryset = models.Document.objects.filter(
Q(updated_at__gte=timestamp)
| Q(deleted_at__gte=timestamp)
| Q(ancestors_deleted_at__gte=timestamp)
)
count = indexer.index(queryset)
logger.info("Indexed %d documents", count)
def trigger_batch_document_indexer(item):
"""
Trigger indexation task with debounce a delay set by the SEARCH_INDEXER_COUNTDOWN setting.
Args:
document (Document): The document instance.
"""
countdown = int(settings.SEARCH_INDEXER_COUNTDOWN)
# DO NOT create a task if indexation if disabled
if not settings.SEARCH_INDEXER_CLASS:
return
if countdown > 0:
# Each time this method is called during a countdown, we increment the
# counter and each task decrease it, so the index be run only once.
if batch_indexer_throttle_acquire(timeout=countdown):
logger.info(
"Add task for batch document indexation from updated_at=%s in %d seconds",
item.updated_at.isoformat(),
countdown,
)
batch_document_indexer_task.apply_async(
args=[item.updated_at], countdown=countdown
)
else:
logger.info("Skip task for batch document %s indexation", item.pk)
else:
document_indexer_task.apply(args=[item.pk])