|                                                                                                                                                     | 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166 | 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("ragflow.txt","rb") as file:
        blob_2=file.read()
    document_infos = []
    document_infos.append({"displayed_name": "test_1.txt","blob": blob})
    document_infos.append({"displayed_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=[{"displayed_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=[{"displayed_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 = [{"displayed_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=[{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_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 = [{"displayed_name": "test.html","blob": blob}]
    docs=ds.upload_documents(document_infos)
    doc = docs[0]
    ds.async_parse_documents([doc.id])
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