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API: create dataset (#1106)
### What problem does this PR solve?
This PR have finished 'create dataset' of both HTTP API and Python SDK.
HTTP API:
```
curl --request POST --url http://<HOST_ADDRESS>/api/v1/dataset --header 'Content-Type: application/json' --header 'Authorization: <ACCESS_KEY>' --data-binary '{
"name": "<DATASET_NAME>"
}'
```
Python SDK:
```
from ragflow.ragflow import RAGFLow
ragflow = RAGFLow('<ACCESS_KEY>', 'http://127.0.0.1:9380')
ragflow.create_dataset("dataset1")
```
TODO:
- ACCESS_KEY is the login_token when user login RAGFlow, currently.
RAGFlow should have the function that user can add/delete access_key.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
This commit is contained in:
@ -3,49 +3,46 @@ 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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from common import API_KEY, HOST_ADDRESS
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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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class TestBasic(TestSdk):
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def test_version(self):
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print(ragflow.__version__)
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def test_create_dataset(self):
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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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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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# def test_create_dataset(self):
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# res = RAGFLow(API_KEY, HOST_ADDRESS).create_dataset('abc')
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# print(res)
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#
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# def test_delete_dataset(self):
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# assert RAGFLow('123', 'url').delete_dataset('abc') == 'abc'
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#
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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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#
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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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#
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# # Call the method under test
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# result = ragflow_instance.list_dataset()
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#
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# # Assertion
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# assert result == [{'id': 1, 'name': 'dataset1'}, {'id': 2, 'name': 'dataset2'}]
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#
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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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#
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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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#
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# # Call the method under test
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# result = ragflow_instance.list_dataset()
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#
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# # Assertion
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# assert result is None
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