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### What problem does this PR solve? Add tests for frontend API ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>
166 lines
6.9 KiB
Python
166 lines
6.9 KiB
Python
from ragflow_sdk import RAGFlow
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from common import HOST_ADDRESS
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import pytest
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def test_upload_document_with_success(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_upload_document")
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blob = b"Sample document content for test."
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with open("test_data/ragflow.txt", "rb") as file:
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blob_2=file.read()
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document_infos = []
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document_infos.append({"displayed_name": "test_1.txt","blob": blob})
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document_infos.append({"displayed_name": "test_2.txt","blob": blob_2})
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ds.upload_documents(document_infos)
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def test_update_document_with_success(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_update_document")
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blob = b"Sample document content for test."
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document_infos=[{"displayed_name":"test.txt","blob":blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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doc.update({"chunk_method": "manual", "name": "manual.txt"})
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def test_download_document_with_success(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_download_document")
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blob = b"Sample document content for test."
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document_infos=[{"displayed_name": "test_1.txt","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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with open("test_download.txt","wb+") as file:
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file.write(doc.download())
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def test_list_documents_in_dataset_with_success(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_list_documents")
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blob = b"Sample document content for test."
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document_infos = [{"displayed_name": "test.txt","blob":blob}]
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ds.upload_documents(document_infos)
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ds.list_documents(keywords="test", page=1, page_size=12)
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def test_delete_documents_in_dataset_with_success(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_delete_documents")
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name = "test_delete_documents.txt"
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blob = b"Sample document content for test."
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document_infos=[{"displayed_name": name, "blob": blob}]
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docs = ds.upload_documents(document_infos)
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ds.delete_documents([docs[0].id])
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# upload and parse the document with different in different parse method.
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def test_upload_and_parse_pdf_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_pdf_document")
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with open("test_data/test.pdf", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.pdf","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_docx_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_docx_document")
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with open("test_data/test.docx", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.docx","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_excel_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_excel_document")
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with open("test_data/test.xlsx", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.xlsx","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_ppt_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_ppt_document")
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with open("test_data/test.ppt", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.ppt","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_image_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_image_document")
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with open("test_data/test.jpg", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.jpg","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_txt_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_txt_document")
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with open("test_data/test.txt", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.txt","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_md_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_md_document")
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with open("test_data/test.md", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.md","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_json_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_json_document")
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with open("test_data/test.json", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.json","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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@pytest.mark.skip(reason="")
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def test_upload_and_parse_eml_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_eml_document")
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with open("test_data/test.eml", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.eml","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id])
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def test_upload_and_parse_html_documents_with_general_parse_method(get_api_key_fixture):
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API_KEY = get_api_key_fixture
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rag = RAGFlow(API_KEY, HOST_ADDRESS)
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ds = rag.create_dataset(name="test_html_document")
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with open("test_data/test.html", "rb") as file:
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blob=file.read()
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document_infos = [{"displayed_name": "test.html","blob": blob}]
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docs=ds.upload_documents(document_infos)
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doc = docs[0]
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ds.async_parse_documents([doc.id]) |