chore: port 2 api as deprecated (#35261)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: 99 <wh2099@pm.me>
This commit is contained in:
Asuka Minato 2026-04-21 21:29:39 +09:00 committed by GitHub
parent d65a6b4810
commit 2e1b11bdb2
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 217 additions and 133 deletions

View File

@ -1,4 +1,12 @@
"""Service API endpoints for dataset document management.
The canonical Service API paths use hyphenated route segments. Legacy underscore
aliases remain registered for backward compatibility, but they must stay marked
deprecated in generated API docs so clients migrate toward the canonical paths.
"""
import json
from collections.abc import Mapping
from contextlib import ExitStack
from typing import Self
from uuid import UUID
@ -117,12 +125,137 @@ register_schema_models(
)
@service_api_ns.route(
"/datasets/<uuid:dataset_id>/document/create_by_text",
"/datasets/<uuid:dataset_id>/document/create-by-text",
)
def _create_document_by_text(tenant_id: str, dataset_id: UUID) -> tuple[Mapping[str, object], int]:
"""Create a document from text for both canonical and legacy routes."""
payload = DocumentTextCreatePayload.model_validate(service_api_ns.payload or {})
args = payload.model_dump(exclude_none=True)
dataset_id_str = str(dataset_id)
tenant_id_str = str(tenant_id)
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id_str, Dataset.id == dataset_id_str).limit(1)
)
if not dataset:
raise ValueError("Dataset does not exist.")
if not dataset.indexing_technique and not args["indexing_technique"]:
raise ValueError("indexing_technique is required.")
embedding_model_provider = payload.embedding_model_provider
embedding_model = payload.embedding_model
if embedding_model_provider and embedding_model:
DatasetService.check_embedding_model_setting(tenant_id_str, embedding_model_provider, embedding_model)
retrieval_model = payload.retrieval_model
if (
retrieval_model
and retrieval_model.reranking_model
and retrieval_model.reranking_model.reranking_provider_name
and retrieval_model.reranking_model.reranking_model_name
):
DatasetService.check_reranking_model_setting(
tenant_id_str,
retrieval_model.reranking_model.reranking_provider_name,
retrieval_model.reranking_model.reranking_model_name,
)
if not current_user:
raise ValueError("current_user is required")
upload_file = FileService(db.engine).upload_text(
text=payload.text, text_name=payload.name, user_id=current_user.id, tenant_id=tenant_id_str
)
data_source = {
"type": "upload_file",
"info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
}
args["data_source"] = data_source
knowledge_config = KnowledgeConfig.model_validate(args)
DocumentService.document_create_args_validate(knowledge_config)
if not current_user:
raise ValueError("current_user is required")
try:
documents, batch = DocumentService.save_document_with_dataset_id(
dataset=dataset,
knowledge_config=knowledge_config,
account=current_user,
dataset_process_rule=dataset.latest_process_rule if "process_rule" not in args else None,
created_from="api",
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
document = documents[0]
documents_and_batch_fields = {"document": marshal(document, document_fields), "batch": batch}
return documents_and_batch_fields, 200
def _update_document_by_text(tenant_id: str, dataset_id: UUID, document_id: UUID) -> tuple[Mapping[str, object], int]:
"""Update a document from text for both canonical and legacy routes."""
payload = DocumentTextUpdate.model_validate(service_api_ns.payload or {})
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id, Dataset.id == str(dataset_id)).limit(1)
)
args = payload.model_dump(exclude_none=True)
if not dataset:
raise ValueError("Dataset does not exist.")
retrieval_model = payload.retrieval_model
if (
retrieval_model
and retrieval_model.reranking_model
and retrieval_model.reranking_model.reranking_provider_name
and retrieval_model.reranking_model.reranking_model_name
):
DatasetService.check_reranking_model_setting(
tenant_id,
retrieval_model.reranking_model.reranking_provider_name,
retrieval_model.reranking_model.reranking_model_name,
)
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
if args.get("text"):
text = args.get("text")
name = args.get("name")
if not current_user:
raise ValueError("current_user is required")
upload_file = FileService(db.engine).upload_text(
text=str(text), text_name=str(name), user_id=current_user.id, tenant_id=tenant_id
)
data_source = {
"type": "upload_file",
"info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
}
args["data_source"] = data_source
args["original_document_id"] = str(document_id)
knowledge_config = KnowledgeConfig.model_validate(args)
DocumentService.document_create_args_validate(knowledge_config)
try:
documents, batch = DocumentService.save_document_with_dataset_id(
dataset=dataset,
knowledge_config=knowledge_config,
account=current_user,
dataset_process_rule=dataset.latest_process_rule if "process_rule" not in args else None,
created_from="api",
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
document = documents[0]
documents_and_batch_fields = {"document": marshal(document, document_fields), "batch": batch}
return documents_and_batch_fields, 200
@service_api_ns.route("/datasets/<uuid:dataset_id>/document/create-by-text")
class DocumentAddByTextApi(DatasetApiResource):
"""Resource for documents."""
"""Resource for the canonical text document creation route."""
@service_api_ns.expect(service_api_ns.models[DocumentTextCreatePayload.__name__])
@service_api_ns.doc("create_document_by_text")
@ -138,81 +271,43 @@ class DocumentAddByTextApi(DatasetApiResource):
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_resource_check("documents", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id):
def post(self, tenant_id: str, dataset_id: UUID):
"""Create document by text."""
payload = DocumentTextCreatePayload.model_validate(service_api_ns.payload or {})
args = payload.model_dump(exclude_none=True)
return _create_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id)
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).limit(1)
@service_api_ns.route("/datasets/<uuid:dataset_id>/document/create_by_text")
class DeprecatedDocumentAddByTextApi(DatasetApiResource):
"""Deprecated resource alias for text document creation."""
@service_api_ns.expect(service_api_ns.models[DocumentTextCreatePayload.__name__])
@service_api_ns.doc("create_document_by_text_deprecated")
@service_api_ns.doc(deprecated=True)
@service_api_ns.doc(
description=(
"Deprecated legacy alias for creating a new document by providing text content. "
"Use /datasets/{dataset_id}/document/create-by-text instead."
)
if not dataset:
raise ValueError("Dataset does not exist.")
if not dataset.indexing_technique and not args["indexing_technique"]:
raise ValueError("indexing_technique is required.")
embedding_model_provider = payload.embedding_model_provider
embedding_model = payload.embedding_model
if embedding_model_provider and embedding_model:
DatasetService.check_embedding_model_setting(tenant_id, embedding_model_provider, embedding_model)
retrieval_model = payload.retrieval_model
if (
retrieval_model
and retrieval_model.reranking_model
and retrieval_model.reranking_model.reranking_provider_name
and retrieval_model.reranking_model.reranking_model_name
):
DatasetService.check_reranking_model_setting(
tenant_id,
retrieval_model.reranking_model.reranking_provider_name,
retrieval_model.reranking_model.reranking_model_name,
)
if not current_user:
raise ValueError("current_user is required")
upload_file = FileService(db.engine).upload_text(
text=payload.text, text_name=payload.name, user_id=current_user.id, tenant_id=tenant_id
)
data_source = {
"type": "upload_file",
"info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
)
@service_api_ns.doc(params={"dataset_id": "Dataset ID"})
@service_api_ns.doc(
responses={
200: "Document created successfully",
401: "Unauthorized - invalid API token",
400: "Bad request - invalid parameters",
}
args["data_source"] = data_source
knowledge_config = KnowledgeConfig.model_validate(args)
# validate args
DocumentService.document_create_args_validate(knowledge_config)
if not current_user:
raise ValueError("current_user is required")
try:
documents, batch = DocumentService.save_document_with_dataset_id(
dataset=dataset,
knowledge_config=knowledge_config,
account=current_user,
dataset_process_rule=dataset.latest_process_rule if "process_rule" not in args else None,
created_from="api",
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
document = documents[0]
documents_and_batch_fields = {"document": marshal(document, document_fields), "batch": batch}
return documents_and_batch_fields, 200
)
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_resource_check("documents", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID):
"""Create document by text through the deprecated underscore alias."""
return _create_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id)
@service_api_ns.route(
"/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update_by_text",
"/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update-by-text",
)
@service_api_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update-by-text")
class DocumentUpdateByTextApi(DatasetApiResource):
"""Resource for update documents."""
"""Resource for the canonical text document update route."""
@service_api_ns.expect(service_api_ns.models[DocumentTextUpdate.__name__])
@service_api_ns.doc("update_document_by_text")
@ -229,62 +324,35 @@ class DocumentUpdateByTextApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
"""Update document by text."""
payload = DocumentTextUpdate.model_validate(service_api_ns.payload or {})
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id, Dataset.id == str(dataset_id)).limit(1)
return _update_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
@service_api_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update_by_text")
class DeprecatedDocumentUpdateByTextApi(DatasetApiResource):
"""Deprecated resource alias for text document updates."""
@service_api_ns.expect(service_api_ns.models[DocumentTextUpdate.__name__])
@service_api_ns.doc("update_document_by_text_deprecated")
@service_api_ns.doc(deprecated=True)
@service_api_ns.doc(
description=(
"Deprecated legacy alias for updating an existing document by providing text content. "
"Use /datasets/{dataset_id}/documents/{document_id}/update-by-text instead."
)
args = payload.model_dump(exclude_none=True)
if not dataset:
raise ValueError("Dataset does not exist.")
retrieval_model = payload.retrieval_model
if (
retrieval_model
and retrieval_model.reranking_model
and retrieval_model.reranking_model.reranking_provider_name
and retrieval_model.reranking_model.reranking_model_name
):
DatasetService.check_reranking_model_setting(
tenant_id,
retrieval_model.reranking_model.reranking_provider_name,
retrieval_model.reranking_model.reranking_model_name,
)
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
if args.get("text"):
text = args.get("text")
name = args.get("name")
if not current_user:
raise ValueError("current_user is required")
upload_file = FileService(db.engine).upload_text(
text=str(text), text_name=str(name), user_id=current_user.id, tenant_id=tenant_id
)
data_source = {
"type": "upload_file",
"info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
}
args["data_source"] = data_source
# validate args
args["original_document_id"] = str(document_id)
knowledge_config = KnowledgeConfig.model_validate(args)
DocumentService.document_create_args_validate(knowledge_config)
try:
documents, batch = DocumentService.save_document_with_dataset_id(
dataset=dataset,
knowledge_config=knowledge_config,
account=current_user,
dataset_process_rule=dataset.latest_process_rule if "process_rule" not in args else None,
created_from="api",
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
document = documents[0]
documents_and_batch_fields = {"document": marshal(document, document_fields), "batch": batch}
return documents_and_batch_fields, 200
)
@service_api_ns.doc(params={"dataset_id": "Dataset ID", "document_id": "Document ID"})
@service_api_ns.doc(
responses={
200: "Document updated successfully",
401: "Unauthorized - invalid API token",
404: "Document not found",
}
)
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
"""Update document by text through the deprecated underscore alias."""
return _update_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
@service_api_ns.route(

View File

@ -22,6 +22,8 @@ import pytest
from werkzeug.exceptions import Forbidden, NotFound
from controllers.service_api.dataset.document import (
DeprecatedDocumentAddByTextApi,
DeprecatedDocumentUpdateByTextApi,
DocumentAddByFileApi,
DocumentAddByTextApi,
DocumentApi,
@ -1005,7 +1007,7 @@ class TestDocumentAddByTextApi:
# Act
with app.test_request_context(
f"/datasets/{mock_dataset.id}/document/create_by_text",
f"/datasets/{mock_dataset.id}/document/create-by-text",
method="POST",
json={
"name": "Test Document",
@ -1037,7 +1039,7 @@ class TestDocumentAddByTextApi:
# Act & Assert
with app.test_request_context(
f"/datasets/{mock_dataset.id}/document/create_by_text",
f"/datasets/{mock_dataset.id}/document/create-by-text",
method="POST",
json={"name": "Test Document", "text": "Content"},
headers={"Authorization": "Bearer test_token"},
@ -1066,7 +1068,7 @@ class TestDocumentAddByTextApi:
# Act & Assert
with app.test_request_context(
f"/datasets/{mock_dataset.id}/document/create_by_text",
f"/datasets/{mock_dataset.id}/document/create-by-text",
method="POST",
json={"name": "Test Document", "text": "Content"},
headers={"Authorization": "Bearer test_token"},
@ -1093,6 +1095,20 @@ class TestArchivedDocumentImmutableError:
assert error.code == 403
class TestDocumentTextRouteDeprecation:
"""Test that legacy underscore text routes stay marked deprecated."""
def test_create_by_text_legacy_alias_is_deprecated(self):
"""Ensure only the legacy create-by-text alias is marked deprecated."""
assert DeprecatedDocumentAddByTextApi.post.__apidoc__["deprecated"] is True
assert DocumentAddByTextApi.post.__apidoc__.get("deprecated") is not True
def test_update_by_text_legacy_alias_is_deprecated(self):
"""Ensure only the legacy update-by-text alias is marked deprecated."""
assert DeprecatedDocumentUpdateByTextApi.post.__apidoc__["deprecated"] is True
assert DocumentUpdateByTextApi.post.__apidoc__.get("deprecated") is not True
# =============================================================================
# Endpoint tests for DocumentUpdateByTextApi, DocumentAddByFileApi,
# DocumentUpdateByFileApi.
@ -1162,7 +1178,7 @@ class TestDocumentUpdateByTextApiPost:
doc_id = str(uuid.uuid4())
with app.test_request_context(
f"/datasets/{mock_dataset.id}/documents/{doc_id}/update_by_text",
f"/datasets/{mock_dataset.id}/documents/{doc_id}/update-by-text",
method="POST",
json={"name": "Updated Doc", "text": "New content"},
headers={"Authorization": "Bearer test_token"},
@ -1195,7 +1211,7 @@ class TestDocumentUpdateByTextApiPost:
doc_id = str(uuid.uuid4())
with app.test_request_context(
f"/datasets/{mock_dataset.id}/documents/{doc_id}/update_by_text",
f"/datasets/{mock_dataset.id}/documents/{doc_id}/update-by-text",
method="POST",
json={"name": "Doc", "text": "Content"},
headers={"Authorization": "Bearer test_token"},