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#  Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#  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
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#      http://www.apache.org/licenses/LICENSE-2.0
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from ragflow_sdk import RAGFlow
from common import HOST_ADDRESS
import pytest


def test_upload_document_with_success(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_upload_document")
    blob = b"Sample document content for test."
    with open("test_data/ragflow.txt", "rb") as file:
        blob_2 = file.read()
    document_infos = []
    document_infos.append({"display_name": "test_1.txt", "blob": blob})
    document_infos.append({"display_name": "test_2.txt", "blob": blob_2})
    ds.upload_documents(document_infos)


def test_update_document_with_success(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_update_document")
    blob = b"Sample document content for test."
    document_infos = [{"display_name": "test.txt", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    doc.update({"chunk_method": "manual", "name": "manual.txt"})


def test_download_document_with_success(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_download_document")
    blob = b"Sample document content for test."
    document_infos = [{"display_name": "test_1.txt", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    with open("test_download.txt", "wb+") as file:
        file.write(doc.download())


def test_list_documents_in_dataset_with_success(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_list_documents")
    blob = b"Sample document content for test."
    document_infos = [{"display_name": "test.txt", "blob": blob}]
    ds.upload_documents(document_infos)
    ds.list_documents(keywords="test", page=1, page_size=12)


def test_delete_documents_in_dataset_with_success(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_delete_documents")
    name = "test_delete_documents.txt"
    blob = b"Sample document content for test."
    document_infos = [{"display_name": name, "blob": blob}]
    docs = ds.upload_documents(document_infos)
    ds.delete_documents([docs[0].id])


# upload and parse the document with different in different parse method.
def test_upload_and_parse_pdf_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_pdf_document")
    with open("test_data/test.pdf", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.pdf", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_docx_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_docx_document")
    with open("test_data/test.docx", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.docx", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_excel_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_excel_document")
    with open("test_data/test.xlsx", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.xlsx", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_ppt_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_ppt_document")
    with open("test_data/test.ppt", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.ppt", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_image_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_image_document")
    with open("test_data/test.jpg", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.jpg", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_txt_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_txt_document")
    with open("test_data/test.txt", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.txt", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_md_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_md_document")
    with open("test_data/test.md", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.md", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_json_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_json_document")
    with open("test_data/test.json", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.json", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


@pytest.mark.skip(reason="")
def test_upload_and_parse_eml_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_eml_document")
    with open("test_data/test.eml", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.eml", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])


def test_upload_and_parse_html_documents_with_general_parse_method(get_api_key_fixture):
    API_KEY = get_api_key_fixture
    rag = RAGFlow(API_KEY, HOST_ADDRESS)
    ds = rag.create_dataset(name="test_html_document")
    with open("test_data/test.html", "rb") as file:
        blob = file.read()
    document_infos = [{"display_name": "test.html", "blob": blob}]
    docs = ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])