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fix annotation failed when embedding model and dimension changed (#17347)
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parent
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@ -46,7 +46,7 @@ def disable_annotation_reply_task(job_id: str, app_id: str, tenant_id: str):
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try:
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if annotations_count > 0:
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vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"])
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vector.delete_by_metadata_field("app_id", app_id)
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vector.delete()
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except Exception:
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logging.exception("Delete annotation index failed when annotation deleted.")
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redis_client.setex(disable_app_annotation_job_key, 600, "completed")
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@ -49,6 +49,27 @@ def enable_annotation_reply_task(
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db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app_id).first()
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)
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if annotation_setting:
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if dataset_collection_binding.id != annotation_setting.collection_binding_id:
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old_dataset_collection_binding = (
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DatasetCollectionBindingService.get_dataset_collection_binding_by_id_and_type(
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annotation_setting.collection_binding_id, "annotation"
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)
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)
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if old_dataset_collection_binding and annotations:
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old_dataset = Dataset(
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id=app_id,
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tenant_id=tenant_id,
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indexing_technique="high_quality",
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embedding_model_provider=old_dataset_collection_binding.provider_name,
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embedding_model=old_dataset_collection_binding.model_name,
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collection_binding_id=old_dataset_collection_binding.id,
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)
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old_vector = Vector(old_dataset, attributes=["doc_id", "annotation_id", "app_id"])
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try:
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old_vector.delete()
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except Exception as e:
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logging.info(click.style("Delete annotation index error: {}".format(str(e)), fg="red"))
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annotation_setting.score_threshold = score_threshold
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annotation_setting.collection_binding_id = dataset_collection_binding.id
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annotation_setting.updated_user_id = user_id
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