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delete SDK repo and edit readme (#1054)
### What problem does this PR solve? delete SDK repo and edit readme ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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# infinity
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import ragflow
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print(ragflow.__version__)
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[project]
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name = "ragflow"
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version = "0.8.0.dev1"
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authors = [
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{ name = "The RAGFlow Development Team", email = "author@example.com" },
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] # TODO: email
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dependencies = ["pytest~=8.2.0"]
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description = "ragflow"
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readme = "README.md"
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requires-python = ">=3.10"
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classifiers = [
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache License2",
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"Operating System :: OS Independent",
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]
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[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project.urls]
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"Homepage" = "https://github.com/pypa/sampleproject"
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"Bug Tracker" = "https://github.com/pypa/sampleproject/issues"
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# TODO
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import importlib.metadata
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__version__ = importlib.metadata.version("ragflow")
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#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import dotenv
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import typing
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from api.utils.file_utils import get_project_base_directory
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def get_versions() -> typing.Mapping[str, typing.Any]:
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dotenv.load_dotenv(dotenv.find_dotenv())
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return dotenv.dotenv_values()
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def get_rag_version() -> typing.Optional[str]:
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return get_versions().get("RAGFLOW_VERSION", "dev")
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# Copyright(C) 2023 InfiniFlow, Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import setuptools
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if __name__ == "__main__":
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setuptools.setup(packages=['ragflow'])
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from test_sdkbase import TestSdk
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import ragflow
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import pytest
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class TestCase(TestSdk):
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def test_version(self):
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print(ragflow.__version__)
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class TestSdk():
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def test_version(self):
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print("test_sdk")
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# infinity
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# ragflow
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import importlib.metadata
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__version__ = importlib.metadata.version("ragflow")
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__version__ = importlib.metadata.version("ragflow")
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#
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import os
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from abc import ABC
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import requests
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class RAGFLow(ABC):
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return name
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def delete_dataset(self, name):
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return name
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return name
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def list_dataset(self):
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endpoint = f"{self.base_url}/api/v1/dataset"
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response = requests.get(endpoint)
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if response.status_code == 200:
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return response.json()['datasets']
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else:
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return None
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def get_dataset(self, dataset_id):
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endpoint = f"{self.base_url}/api/v1/dataset/{dataset_id}"
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response = requests.get(endpoint)
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if response.status_code == 200:
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return response.json()
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else:
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return None
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def update_dataset(self, dataset_id, params):
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endpoint = f"{self.base_url}/api/v1/dataset/{dataset_id}"
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response = requests.put(endpoint, json=params)
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if response.status_code == 200:
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return True
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else:
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return False
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import ragflow
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from ragflow.ragflow import RAGFLow
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import pytest
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from unittest.mock import MagicMock
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class TestCase(TestSdk):
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@pytest.fixture
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def ragflow_instance(self):
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# Here we create a mock instance of RAGFlow for testing
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return ragflow.ragflow.RAGFLow('123', 'url')
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def test_version(self):
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print(ragflow.__version__)
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assert ragflow.ragflow.RAGFLow('123', 'url').create_dataset('abc') == 'abc'
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def test_delete_dataset(self):
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assert ragflow.ragflow.RAGFLow('123', 'url').delete_dataset('abc') == 'abc'
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assert ragflow.ragflow.RAGFLow('123', 'url').delete_dataset('abc') == 'abc'
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def test_list_dataset_success(self, ragflow_instance, monkeypatch):
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# Mocking the response of requests.get method
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {'datasets': [{'id': 1, 'name': 'dataset1'}, {'id': 2, 'name': 'dataset2'}]}
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# Patching requests.get to return the mock_response
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monkeypatch.setattr("requests.get", MagicMock(return_value=mock_response))
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# Call the method under test
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result = ragflow_instance.list_dataset()
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# Assertion
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assert result == [{'id': 1, 'name': 'dataset1'}, {'id': 2, 'name': 'dataset2'}]
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def test_list_dataset_failure(self, ragflow_instance, monkeypatch):
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# Mocking the response of requests.get method
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mock_response = MagicMock()
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mock_response.status_code = 404 # Simulating a failed request
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# Patching requests.get to return the mock_response
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monkeypatch.setattr("requests.get", MagicMock(return_value=mock_response))
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# Call the method under test
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result = ragflow_instance.list_dataset()
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# Assertion
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assert result is None
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