Fix/create document by api with metadata (#16307)
Co-authored-by: zxhlyh <jasonapring2015@outlook.com>
This commit is contained in:
@@ -20,7 +20,7 @@ from libs.helper import email as email_validate
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from libs.password import hash_password, password_pattern, valid_password
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from libs.rsa import generate_key_pair
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from models import Tenant
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from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
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from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, DatasetMetadataBinding, DocumentSegment
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from models.dataset import Document as DatasetDocument
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from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
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from models.provider import Provider, ProviderModel
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@@ -483,14 +483,11 @@ def convert_to_agent_apps():
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click.echo(click.style("Conversion complete. Converted {} agent apps.".format(len(proceeded_app_ids)), fg="green"))
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@click.command("add-qdrant-doc-id-index", help="Add Qdrant doc_id index.")
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@click.command("add-qdrant-index", help="Add Qdrant index.")
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@click.option("--field", default="metadata.doc_id", prompt=False, help="Index field , default is metadata.doc_id.")
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def add_qdrant_doc_id_index(field: str):
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click.echo(click.style("Starting Qdrant doc_id index creation.", fg="green"))
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vector_type = dify_config.VECTOR_STORE
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if vector_type != "qdrant":
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click.echo(click.style("This command only supports Qdrant vector store.", fg="red"))
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return
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def add_qdrant_index(field: str):
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click.echo(click.style("Starting Qdrant index creation.", fg="green"))
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create_count = 0
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try:
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@@ -539,6 +536,72 @@ def add_qdrant_doc_id_index(field: str):
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click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green"))
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@click.command("old-metadata-migration", help="Old metadata migration.")
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def old_metadata_migration():
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"""
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Old metadata migration.
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"""
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click.echo(click.style("Starting old metadata migration.", fg="green"))
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page = 1
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while True:
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try:
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documents = (
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DatasetDocument.query.filter(DatasetDocument.doc_metadata is not None)
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.order_by(DatasetDocument.created_at.desc())
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.paginate(page=page, per_page=50)
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)
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except NotFound:
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break
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if not documents:
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break
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for document in documents:
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if document.doc_metadata:
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doc_metadata = document.doc_metadata
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for key, value in doc_metadata.items():
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dataset_metadata = (
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db.session.query(DatasetMetadata)
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.filter(DatasetMetadata.dataset_id == document.dataset_id, DatasetMetadata.name == key)
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.first()
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)
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if not dataset_metadata:
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dataset_metadata = DatasetMetadata(
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tenant_id=document.tenant_id,
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dataset_id=document.dataset_id,
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name=key,
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type="string",
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created_by=document.created_by,
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)
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db.session.add(dataset_metadata)
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db.session.flush()
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dataset_metadata_binding = DatasetMetadataBinding(
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tenant_id=document.tenant_id,
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dataset_id=document.dataset_id,
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metadata_id=dataset_metadata.id,
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document_id=document.id,
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created_by=document.created_by,
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)
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db.session.add(dataset_metadata_binding)
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else:
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dataset_metadata_binding = DatasetMetadataBinding.query.filter(
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DatasetMetadataBinding.dataset_id == document.dataset_id,
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DatasetMetadataBinding.document_id == document.id,
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DatasetMetadataBinding.metadata_id == dataset_metadata.id,
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).first()
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if not dataset_metadata_binding:
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dataset_metadata_binding = DatasetMetadataBinding(
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tenant_id=document.tenant_id,
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dataset_id=document.dataset_id,
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metadata_id=dataset_metadata.id,
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document_id=document.id,
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created_by=document.created_by,
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)
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db.session.add(dataset_metadata_binding)
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db.session.commit()
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page += 1
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click.echo(click.style("Old metadata migration completed.", fg="green"))
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@click.command("create-tenant", help="Create account and tenant.")
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@click.option("--email", prompt=True, help="Tenant account email.")
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@click.option("--name", prompt=True, help="Workspace name.")
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@@ -18,7 +18,6 @@ from controllers.service_api.app.error import (
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from controllers.service_api.dataset.error import (
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ArchivedDocumentImmutableError,
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DocumentIndexingError,
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InvalidMetadataError,
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)
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from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
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from core.errors.error import ProviderTokenNotInitError
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@@ -51,8 +50,6 @@ class DocumentAddByTextApi(DatasetApiResource):
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"indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
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)
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parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
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parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
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parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
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args = parser.parse_args()
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dataset_id = str(dataset_id)
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@@ -65,28 +62,6 @@ class DocumentAddByTextApi(DatasetApiResource):
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if not dataset.indexing_technique and not args["indexing_technique"]:
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raise ValueError("indexing_technique is required.")
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# Validate metadata if provided
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if args.get("doc_type") or args.get("doc_metadata"):
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if not args.get("doc_type") or not args.get("doc_metadata"):
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raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
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if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
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raise InvalidMetadataError(
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"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
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)
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if not isinstance(args["doc_metadata"], dict):
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raise InvalidMetadataError("doc_metadata must be a dictionary")
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# Validate metadata schema based on doc_type
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if args["doc_type"] != "others":
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metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
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for key, value in args["doc_metadata"].items():
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if key in metadata_schema and not isinstance(value, metadata_schema[key]):
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raise InvalidMetadataError(f"Invalid type for metadata field {key}")
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# set to MetaDataConfig
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args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
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text = args.get("text")
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name = args.get("name")
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if text is None or name is None:
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@@ -133,8 +108,6 @@ class DocumentUpdateByTextApi(DatasetApiResource):
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"doc_language", type=str, default="English", required=False, nullable=False, location="json"
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)
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parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
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parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
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parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
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args = parser.parse_args()
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dataset_id = str(dataset_id)
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tenant_id = str(tenant_id)
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@@ -146,29 +119,6 @@ class DocumentUpdateByTextApi(DatasetApiResource):
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# indexing_technique is already set in dataset since this is an update
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args["indexing_technique"] = dataset.indexing_technique
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# Validate metadata if provided
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if args.get("doc_type") or args.get("doc_metadata"):
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if not args.get("doc_type") or not args.get("doc_metadata"):
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raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
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if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
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raise InvalidMetadataError(
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"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
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)
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if not isinstance(args["doc_metadata"], dict):
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raise InvalidMetadataError("doc_metadata must be a dictionary")
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# Validate metadata schema based on doc_type
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if args["doc_type"] != "others":
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metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
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for key, value in args["doc_metadata"].items():
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if key in metadata_schema and not isinstance(value, metadata_schema[key]):
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raise InvalidMetadataError(f"Invalid type for metadata field {key}")
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# set to MetaDataConfig
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args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
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if args["text"]:
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text = args.get("text")
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name = args.get("name")
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@@ -216,29 +166,6 @@ class DocumentAddByFileApi(DatasetApiResource):
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if "doc_language" not in args:
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args["doc_language"] = "English"
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# Validate metadata if provided
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if args.get("doc_type") or args.get("doc_metadata"):
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if not args.get("doc_type") or not args.get("doc_metadata"):
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raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
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if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
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raise InvalidMetadataError(
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"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
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)
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if not isinstance(args["doc_metadata"], dict):
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raise InvalidMetadataError("doc_metadata must be a dictionary")
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# Validate metadata schema based on doc_type
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if args["doc_type"] != "others":
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metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
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for key, value in args["doc_metadata"].items():
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if key in metadata_schema and not isinstance(value, metadata_schema[key]):
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raise InvalidMetadataError(f"Invalid type for metadata field {key}")
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# set to MetaDataConfig
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args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
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# get dataset info
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dataset_id = str(dataset_id)
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tenant_id = str(tenant_id)
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@@ -306,29 +233,6 @@ class DocumentUpdateByFileApi(DatasetApiResource):
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if "doc_language" not in args:
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args["doc_language"] = "English"
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# Validate metadata if provided
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if args.get("doc_type") or args.get("doc_metadata"):
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if not args.get("doc_type") or not args.get("doc_metadata"):
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raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
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if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
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raise InvalidMetadataError(
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"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
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)
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if not isinstance(args["doc_metadata"], dict):
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raise InvalidMetadataError("doc_metadata must be a dictionary")
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# Validate metadata schema based on doc_type
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if args["doc_type"] != "others":
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metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
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for key, value in args["doc_metadata"].items():
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if key in metadata_schema and not isinstance(value, metadata_schema[key]):
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raise InvalidMetadataError(f"Invalid type for metadata field {key}")
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# set to MetaDataConfig
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args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
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# get dataset info
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dataset_id = str(dataset_id)
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tenant_id = str(tenant_id)
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@@ -3,7 +3,7 @@ from dify_app import DifyApp
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def init_app(app: DifyApp):
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from commands import (
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add_qdrant_doc_id_index,
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add_qdrant_index,
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convert_to_agent_apps,
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create_tenant,
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extract_plugins,
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@@ -11,6 +11,7 @@ def init_app(app: DifyApp):
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fix_app_site_missing,
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install_plugins,
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migrate_data_for_plugin,
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old_metadata_migration,
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reset_email,
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reset_encrypt_key_pair,
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reset_password,
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@@ -24,7 +25,7 @@ def init_app(app: DifyApp):
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reset_encrypt_key_pair,
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vdb_migrate,
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convert_to_agent_apps,
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add_qdrant_doc_id_index,
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add_qdrant_index,
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create_tenant,
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upgrade_db,
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fix_app_site_missing,
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@@ -32,6 +33,7 @@ def init_app(app: DifyApp):
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extract_plugins,
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extract_unique_plugins,
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install_plugins,
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old_metadata_migration,
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]
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for cmd in cmds_to_register:
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app.cli.add_command(cmd)
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@@ -46,7 +46,6 @@ from models.source import DataSourceOauthBinding
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from services.entities.knowledge_entities.knowledge_entities import (
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ChildChunkUpdateArgs,
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KnowledgeConfig,
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MetaDataConfig,
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RerankingModel,
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RetrievalModel,
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SegmentUpdateArgs,
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@@ -999,9 +998,6 @@ class DocumentService:
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document.data_source_info = json.dumps(data_source_info)
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document.batch = batch
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document.indexing_status = "waiting"
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if knowledge_config.metadata:
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document.doc_type = knowledge_config.metadata.doc_type
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document.metadata = knowledge_config.metadata.doc_metadata
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db.session.add(document)
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documents.append(document)
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duplicate_document_ids.append(document.id)
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@@ -1018,7 +1014,6 @@ class DocumentService:
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account,
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file_name,
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batch,
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knowledge_config.metadata,
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)
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db.session.add(document)
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db.session.flush()
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@@ -1076,7 +1071,6 @@ class DocumentService:
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account,
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truncated_page_name,
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batch,
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knowledge_config.metadata,
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)
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db.session.add(document)
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db.session.flush()
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@@ -1117,7 +1111,6 @@ class DocumentService:
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account,
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document_name,
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batch,
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knowledge_config.metadata,
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)
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db.session.add(document)
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db.session.flush()
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@@ -1155,7 +1148,6 @@ class DocumentService:
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account: Account,
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name: str,
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batch: str,
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metadata: Optional[MetaDataConfig] = None,
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):
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document = Document(
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tenant_id=dataset.tenant_id,
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@@ -1180,9 +1172,6 @@ class DocumentService:
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BuiltInField.last_update_date: datetime.datetime.now(datetime.UTC).strftime("%Y-%m-%d %H:%M:%S"),
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BuiltInField.source: data_source_type,
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}
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if metadata is not None:
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doc_metadata.update(metadata.doc_metadata)
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document.doc_type = metadata.doc_type
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if doc_metadata:
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document.doc_metadata = doc_metadata
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return document
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@@ -1297,10 +1286,6 @@ class DocumentService:
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# update document name
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if document_data.name:
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document.name = document_data.name
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# update doc_type and doc_metadata if provided
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if document_data.metadata is not None:
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document.doc_metadata = document_data.metadata.doc_metadata
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document.doc_type = document_data.metadata.doc_type
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# update document to be waiting
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document.indexing_status = "waiting"
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document.completed_at = None
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@@ -128,7 +128,6 @@ class KnowledgeConfig(BaseModel):
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embedding_model: Optional[str] = None
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embedding_model_provider: Optional[str] = None
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name: Optional[str] = None
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metadata: Optional[MetaDataConfig] = None
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class SegmentUpdateArgs(BaseModel):
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