ragflow/test/testcases/test_sdk_api/conftest.py

#
#  Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#

from pathlib import Path

import pytest
from common import (
    batch_create_datasets,
    bulk_upload_documents,
)
from configs import HOST_ADDRESS, VERSION
from pytest import FixtureRequest
from ragflow_sdk import Chunk, DataSet, Document, RAGFlow
from utils import wait_for
from utils.file_utils import (
    create_docx_file,
    create_eml_file,
    create_excel_file,
    create_html_file,
    create_image_file,
    create_json_file,
    create_md_file,
    create_pdf_file,
    create_ppt_file,
    create_txt_file,
)


@wait_for(30, 1, "Document parsing timeout")
def condition(_dataset: DataSet):
    documents = _dataset.list_documents(page_size=1000)
    for document in documents:
        if document.run != "DONE":
            return False
    return True


@pytest.fixture
def generate_test_files(request: FixtureRequest, tmp_path: Path):
    file_creators = {
        "docx": (tmp_path / "ragflow_test.docx", create_docx_file),
        "excel": (tmp_path / "ragflow_test.xlsx", create_excel_file),
        "ppt": (tmp_path / "ragflow_test.pptx", create_ppt_file),
        "image": (tmp_path / "ragflow_test.png", create_image_file),
        "pdf": (tmp_path / "ragflow_test.pdf", create_pdf_file),
        "txt": (tmp_path / "ragflow_test.txt", create_txt_file),
        "md": (tmp_path / "ragflow_test.md", create_md_file),
        "json": (tmp_path / "ragflow_test.json", create_json_file),
        "eml": (tmp_path / "ragflow_test.eml", create_eml_file),
        "html": (tmp_path / "ragflow_test.html", create_html_file),
    }

    files = {}
    for file_type, (file_path, creator_func) in file_creators.items():
        if request.param in ["", file_type]:
            creator_func(file_path)
            files[file_type] = file_path
    return files


@pytest.fixture(scope="class")
def ragflow_tmp_dir(request: FixtureRequest, tmp_path_factory: Path) -> Path:
    class_name = request.cls.__name__
    return tmp_path_factory.mktemp(class_name)


@pytest.fixture(scope="session")
def client(token: str) -> RAGFlow:
    return RAGFlow(api_key=token, base_url=HOST_ADDRESS, version=VERSION)


@pytest.fixture(scope="function")
def clear_datasets(request: FixtureRequest, client: RAGFlow):
    def cleanup():
        client.delete_datasets(ids=None)

    request.addfinalizer(cleanup)


@pytest.fixture(scope="class")
def add_dataset(request: FixtureRequest, client: RAGFlow):
    def cleanup():
        client.delete_datasets(ids=None)

    request.addfinalizer(cleanup)
    return batch_create_datasets(client, 1)[0]


@pytest.fixture(scope="function")
def add_dataset_func(request: FixtureRequest, client: RAGFlow) -> DataSet:
    def cleanup():
        client.delete_datasets(ids=None)

    request.addfinalizer(cleanup)
    return batch_create_datasets(client, 1)[0]


@pytest.fixture(scope="class")
def add_document(add_dataset: DataSet, ragflow_tmp_dir: Path) -> tuple[DataSet, Document]:
    return add_dataset, bulk_upload_documents(add_dataset, 1, ragflow_tmp_dir)[0]


@pytest.fixture(scope="class")
def add_chunks(request: FixtureRequest, add_document: tuple[DataSet, Document]) -> tuple[DataSet, Document, list[Chunk]]:
    dataset, document = add_document
    dataset.async_parse_documents([document.id])
    condition(dataset)

    chunks = []
    for i in range(4):
        chunk = document.add_chunk(content=f"chunk test {i}")
        chunks.append(chunk)

    # issues/6487
    from time import sleep

    sleep(1)

    def cleanup():
        try:
            document.delete_chunks(ids=[])
        except Exception:
            pass

    request.addfinalizer(cleanup)
    return dataset, document, chunks