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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>
55 lines
2.3 KiB
Python
55 lines
2.3 KiB
Python
from ragflow_sdk import RAGFlow
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import random
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import pytest
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from common import HOST_ADDRESS
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def test_create_dataset_with_name(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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rag.create_dataset("test_create_dataset_with_name")
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def test_create_dataset_with_duplicated_name(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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rag.create_dataset("test_create_dataset_with_duplicated_name")
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with pytest.raises(Exception) as exc_info:
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rag.create_dataset("test_create_dataset_with_duplicated_name")
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assert str(exc_info.value) == "Duplicated dataset name in creating dataset."
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def test_create_dataset_with_random_chunk_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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valid_chunk_methods = ["naive","manual","qa","table","paper","book","laws","presentation","picture","one","knowledge_graph","email"]
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random_chunk_method = random.choice(valid_chunk_methods)
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rag.create_dataset("test_create_dataset_with_random_chunk_method",chunk_method=random_chunk_method)
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def test_create_dataset_with_invalid_parameter(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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valid_chunk_methods = ["naive", "manual", "qa", "table", "paper", "book", "laws", "presentation", "picture", "one",
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"knowledge_graph", "email"]
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chunk_method = "invalid_chunk_method"
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with pytest.raises(Exception) as exc_info:
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rag.create_dataset("test_create_dataset_with_invalid_chunk_method",chunk_method=chunk_method)
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assert str(exc_info.value) == f"'{chunk_method}' is not in {valid_chunk_methods}"
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def test_update_dataset_with_name(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("test_update_dataset")
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ds.update({"name": "updated_dataset"})
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def test_delete_datasets_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("test_delete_dataset")
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rag.delete_datasets(ids=[ds.id])
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def test_list_datasets_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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rag.list_datasets()
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