ragflow/sdk/python/test/test_http_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.
#

import pytest
from common import add_chunk, batch_create_datasets, bulk_upload_documents, delete_chat_assistants, delete_datasets, list_documnets, parse_documnets
from libs.utils import wait_for
from libs.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(_auth, _dataset_id):
    res = list_documnets(_auth, _dataset_id)
    for doc in res["data"]["docs"]:
        if doc["run"] != "DONE":
            return False
    return True


@pytest.fixture(scope="function")
def clear_datasets(get_http_api_auth):
    yield
    delete_datasets(get_http_api_auth)


@pytest.fixture(scope="function")
def clear_chat_assistants(get_http_api_auth):
    yield
    delete_chat_assistants(get_http_api_auth)


@pytest.fixture
def generate_test_files(request, tmp_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, tmp_path_factory):
    class_name = request.cls.__name__
    return tmp_path_factory.mktemp(class_name)


@pytest.fixture(scope="class")
def add_dataset(request, get_http_api_auth):
    def cleanup():
        delete_datasets(get_http_api_auth)

    request.addfinalizer(cleanup)

    dataset_ids = batch_create_datasets(get_http_api_auth, 1)
    return dataset_ids[0]


@pytest.fixture(scope="function")
def add_dataset_func(request, get_http_api_auth):
    def cleanup():
        delete_datasets(get_http_api_auth)

    request.addfinalizer(cleanup)

    dataset_ids = batch_create_datasets(get_http_api_auth, 1)
    return dataset_ids[0]


@pytest.fixture(scope="class")
def add_document(get_http_api_auth, add_dataset, ragflow_tmp_dir):
    dataset_id = add_dataset
    document_ids = bulk_upload_documents(get_http_api_auth, dataset_id, 1, ragflow_tmp_dir)
    return dataset_id, document_ids[0]


@pytest.fixture(scope="class")
def add_chunks(get_http_api_auth, add_document):
    dataset_id, document_id = add_document
    parse_documnets(get_http_api_auth, dataset_id, {"document_ids": [document_id]})
    condition(get_http_api_auth, dataset_id)

    chunk_ids = []
    for i in range(4):
        res = add_chunk(get_http_api_auth, dataset_id, document_id, {"content": f"chunk test {i}"})
        chunk_ids.append(res["data"]["chunk"]["id"])

    # issues/6487
    from time import sleep

    sleep(1)
    return dataset_id, document_id, chunk_ids