add clean 7 days datasets (langgenius#9424)

api/schedule/clean_unused_datasets_task.py

@@ -9,7 +9,9 @@
 from configs import dify_config
 from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
 from extensions.ext_database import db
+from extensions.ext_redis import redis_client
 from models.dataset import Dataset, DatasetQuery, Document
+from services.feature_service import FeatureService
 
 
 @app.celery.task(queue="dataset")
@@ -18,6 +20,7 @@ def clean_unused_datasets_task():
     clean_days = dify_config.CLEAN_DAY_SETTING
     start_at = time.perf_counter()
     thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days)
+    seven_days_ago = datetime.datetime.now() - datetime.timedelta(days=7)
     page = 1
     while True:
         try:
@@ -88,5 +91,84 @@ def clean_unused_datasets_task():
                     click.echo(
                         click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red")
                     )
+    page = 1
+    while True:
+        try:
+            # Subquery for counting new documents
+            document_subquery_new = (
+                db.session.query(Document.dataset_id, func.count(Document.id).label("document_count"))
+                .filter(
+                    Document.indexing_status == "completed",
+                    Document.enabled == True,
+                    Document.archived == False,
+                    Document.updated_at > seven_days_ago,
+                )
+                .group_by(Document.dataset_id)
+                .subquery()
+            )
+
+            # Subquery for counting old documents
+            document_subquery_old = (
+                db.session.query(Document.dataset_id, func.count(Document.id).label("document_count"))
+                .filter(
+                    Document.indexing_status == "completed",
+                    Document.enabled == True,
+                    Document.archived == False,
+                    Document.updated_at < seven_days_ago,
+                )
+                .group_by(Document.dataset_id)
+                .subquery()
+            )
+
+            # Main query with join and filter
+            datasets = (
+                db.session.query(Dataset)
+                .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id)
+                .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id)
+                .filter(
+                    Dataset.created_at < seven_days_ago,
+                    func.coalesce(document_subquery_new.c.document_count, 0) == 0,
+                    func.coalesce(document_subquery_old.c.document_count, 0) > 0,
+                )
+                .order_by(Dataset.created_at.desc())
+                .paginate(page=page, per_page=50)
+            )
+
+        except NotFound:
+            break
+        if datasets.items is None or len(datasets.items) == 0:
+            break
+        page += 1
+        for dataset in datasets:
+            dataset_query = (
+                db.session.query(DatasetQuery)
+                .filter(DatasetQuery.created_at > seven_days_ago, DatasetQuery.dataset_id == dataset.id)
+                .all()
+            )
+            if not dataset_query or len(dataset_query) == 0:
+                try:
+                    features_cache_key = f"features:{dataset.tenant_id}"
+                    plan = redis_client.get(features_cache_key)
+                    if plan is None:
+                        features = FeatureService.get_features(dataset.tenant_id)
+                        redis_client.setex(features_cache_key, 600, features.billing.subscription.plan)
+                        plan = features.billing.subscription.plan
+                    if plan == "sandbox":
+                        # remove index
+                        index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor()
+                        index_processor.clean(dataset, None)
+
+                        # update document
+                        update_params = {Document.enabled: False}
+
+                        Document.query.filter_by(dataset_id=dataset.id).update(update_params)
+                        db.session.commit()
+                        click.echo(
+                            click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green")
+                        )
+                except Exception as e:
+                    click.echo(
+                        click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red")
+                    )
     end_at = time.perf_counter()
     click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green"))