mirror of
https://github.com/infiniflow/ragflow.git
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5825a24d26
### What problem does this PR solve? - Improve concurrent test cases by using as_completed for better reliability - Rename variables for clarity (chunk_num -> count) - Add new SDK API test suite for chunk management operations - Update HTTP API tests with consistent concurrency patterns ### Type of change - [x] Add test cases - [x] Refactoring
140 lines
4.2 KiB
Python
140 lines
4.2 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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import pytest
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from common import (
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batch_create_datasets,
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bulk_upload_documents,
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)
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from configs import HOST_ADDRESS, VERSION
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from pytest import FixtureRequest
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from ragflow_sdk import Chunk, DataSet, Document, RAGFlow
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from utils import wait_for
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from utils.file_utils import (
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create_docx_file,
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create_eml_file,
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create_excel_file,
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create_html_file,
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create_image_file,
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create_json_file,
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create_md_file,
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create_pdf_file,
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create_ppt_file,
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create_txt_file,
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)
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@wait_for(30, 1, "Document parsing timeout")
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def condition(_dataset: DataSet):
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documents = _dataset.list_documents(page_size=1000)
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for document in documents:
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if document.run != "DONE":
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return False
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return True
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@pytest.fixture
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def generate_test_files(request: FixtureRequest, tmp_path: Path):
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file_creators = {
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"docx": (tmp_path / "ragflow_test.docx", create_docx_file),
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"excel": (tmp_path / "ragflow_test.xlsx", create_excel_file),
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"ppt": (tmp_path / "ragflow_test.pptx", create_ppt_file),
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"image": (tmp_path / "ragflow_test.png", create_image_file),
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"pdf": (tmp_path / "ragflow_test.pdf", create_pdf_file),
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"txt": (tmp_path / "ragflow_test.txt", create_txt_file),
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"md": (tmp_path / "ragflow_test.md", create_md_file),
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"json": (tmp_path / "ragflow_test.json", create_json_file),
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"eml": (tmp_path / "ragflow_test.eml", create_eml_file),
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"html": (tmp_path / "ragflow_test.html", create_html_file),
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}
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files = {}
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for file_type, (file_path, creator_func) in file_creators.items():
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if request.param in ["", file_type]:
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creator_func(file_path)
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files[file_type] = file_path
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return files
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@pytest.fixture(scope="class")
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def ragflow_tmp_dir(request: FixtureRequest, tmp_path_factory: Path) -> Path:
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class_name = request.cls.__name__
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return tmp_path_factory.mktemp(class_name)
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@pytest.fixture(scope="session")
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def client(token: str) -> RAGFlow:
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return RAGFlow(api_key=token, base_url=HOST_ADDRESS, version=VERSION)
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@pytest.fixture(scope="function")
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def clear_datasets(request: FixtureRequest, client: RAGFlow):
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def cleanup():
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client.delete_datasets(ids=None)
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request.addfinalizer(cleanup)
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@pytest.fixture(scope="class")
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def add_dataset(request: FixtureRequest, client: RAGFlow):
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def cleanup():
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client.delete_datasets(ids=None)
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request.addfinalizer(cleanup)
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return batch_create_datasets(client, 1)[0]
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@pytest.fixture(scope="function")
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def add_dataset_func(request: FixtureRequest, client: RAGFlow) -> DataSet:
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def cleanup():
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client.delete_datasets(ids=None)
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request.addfinalizer(cleanup)
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return batch_create_datasets(client, 1)[0]
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@pytest.fixture(scope="class")
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def add_document(add_dataset: DataSet, ragflow_tmp_dir: Path) -> tuple[DataSet, Document]:
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return add_dataset, bulk_upload_documents(add_dataset, 1, ragflow_tmp_dir)[0]
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@pytest.fixture(scope="class")
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def add_chunks(request: FixtureRequest, add_document: tuple[DataSet, Document]) -> tuple[DataSet, Document, list[Chunk]]:
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dataset, document = add_document
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dataset.async_parse_documents([document.id])
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condition(dataset)
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chunks = []
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for i in range(4):
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chunk = document.add_chunk(content=f"chunk test {i}")
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chunks.append(chunk)
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# issues/6487
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from time import sleep
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sleep(1)
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def cleanup():
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try:
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document.delete_chunks(ids=[])
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except Exception:
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pass
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request.addfinalizer(cleanup)
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return dataset, document, chunks
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