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51be1f1442
### What problem does this PR solve? Empty ids means no-op operation. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Documentation Update - [x] Refactoring --------- Co-authored-by: writinwaters <cai.keith@gmail.com>
128 lines
4.4 KiB
Python
128 lines
4.4 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from pathlib import Path
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from ragflow_sdk import Chat, Chunk, DataSet, Document, RAGFlow, Session
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from utils.file_utils import create_txt_file
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# DATASET MANAGEMENT
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def batch_create_datasets(client: RAGFlow, num: int) -> list[DataSet]:
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return [client.create_dataset(name=f"dataset_{i}") for i in range(num)]
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def delete_all_datasets(client: RAGFlow, *, page_size: int = 1000) -> None:
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# Dataset DELETE now treats null/empty ids as a no-op, so cleanup must enumerate explicit ids.
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page = 1
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dataset_ids: list[str] = []
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while True:
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datasets = client.list_datasets(page=page, page_size=page_size)
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dataset_ids.extend(dataset.id for dataset in datasets)
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if len(datasets) < page_size:
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break
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page += 1
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if dataset_ids:
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client.delete_datasets(ids=dataset_ids)
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def delete_all_chats(client: RAGFlow, *, page_size: int = 1000) -> None:
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# Chat DELETE now treats null/empty ids as a no-op, so cleanup must enumerate explicit ids.
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page = 1
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chat_ids: list[str] = []
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while True:
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chats = client.list_chats(page=page, page_size=page_size)
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chat_ids.extend(chat.id for chat in chats)
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if len(chats) < page_size:
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break
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page += 1
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if chat_ids:
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client.delete_chats(ids=chat_ids)
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# FILE MANAGEMENT WITHIN DATASET
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def bulk_upload_documents(dataset: DataSet, num: int, tmp_path: Path) -> list[Document]:
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document_infos = []
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for i in range(num):
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fp = create_txt_file(tmp_path / f"ragflow_test_upload_{i}.txt")
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with fp.open("rb") as f:
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blob = f.read()
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document_infos.append({"display_name": fp.name, "blob": blob})
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return dataset.upload_documents(document_infos)
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def delete_all_documents(dataset: DataSet, *, page_size: int = 1000) -> None:
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# Document DELETE now treats missing/null/empty ids as a no-op, so cleanup must enumerate explicit ids.
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page = 1
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document_ids: list[str] = []
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while True:
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documents = dataset.list_documents(page=page, page_size=page_size)
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document_ids.extend(document.id for document in documents)
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if len(documents) < page_size:
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break
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page += 1
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if document_ids:
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dataset.delete_documents(ids=document_ids)
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def delete_all_sessions(chat_assistant: Chat, *, page_size: int = 1000) -> None:
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# Session DELETE now treats missing/null/empty ids as a no-op, so cleanup must enumerate explicit ids.
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page = 1
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session_ids: list[str] = []
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while True:
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sessions = chat_assistant.list_sessions(page=page, page_size=page_size)
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session_ids.extend(session.id for session in sessions)
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if len(sessions) < page_size:
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break
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page += 1
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if session_ids:
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chat_assistant.delete_sessions(ids=session_ids)
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def delete_all_chunks(document: Document, *, page_size: int = 1000) -> None:
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# Chunk DELETE now treats missing/null/empty ids as a no-op, so cleanup must enumerate explicit ids.
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page = 1
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chunk_ids: list[str] = []
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while True:
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chunks = document.list_chunks(page=page, page_size=page_size)
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chunk_ids.extend(chunk.id for chunk in chunks)
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if len(chunks) < page_size:
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break
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page += 1
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if chunk_ids:
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document.delete_chunks(ids=chunk_ids)
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# CHUNK MANAGEMENT WITHIN DATASET
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def batch_add_chunks(document: Document, num: int) -> list[Chunk]:
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return [document.add_chunk(content=f"chunk test {i}") for i in range(num)]
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# CHAT ASSISTANT MANAGEMENT
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def batch_create_chat_assistants(client: RAGFlow, num: int) -> list[Chat]:
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return [client.create_chat(name=f"test_chat_assistant_{i}") for i in range(num)]
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# SESSION MANAGEMENT
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def batch_add_sessions_with_chat_assistant(chat_assistant: Chat, num) -> list[Session]:
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return [chat_assistant.create_session(name=f"session_with_chat_assistant_{i}") for i in range(num)]
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