mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-04-22 06:00:00 +08:00
6be3626372
### What problem does this PR solve? This PR have completed both HTTP API and Python SDK for 'delete_dataset". In addition, there are tests for it. ### Type of change - [x] New Feature (non-breaking change which adds functionality)
122 lines
4.3 KiB
Python
122 lines
4.3 KiB
Python
from test_sdkbase import TestSdk
|
|
from ragflow import RAGFlow
|
|
import pytest
|
|
from common import API_KEY, HOST_ADDRESS
|
|
|
|
|
|
|
|
class TestDataset(TestSdk):
|
|
|
|
def test_create_dataset(self):
|
|
'''
|
|
1. create a kb
|
|
2. list the kb
|
|
3. get the detail info according to the kb id
|
|
4. update the kb
|
|
5. delete the kb
|
|
'''
|
|
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
# create a kb
|
|
res = ragflow.create_dataset("kb1")
|
|
assert res['code'] == 0 and res['message'] == 'success'
|
|
dataset_name = res['data']['dataset_name']
|
|
|
|
def test_list_dataset_success(self):
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
# Call the list_datasets method
|
|
response = ragflow.list_dataset()
|
|
|
|
code, datasets = response
|
|
|
|
assert code == 200
|
|
|
|
def test_list_dataset_with_checking_size_and_name(self):
|
|
datasets_to_create = ["dataset1", "dataset2", "dataset3"]
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
created_response = [ragflow.create_dataset(name) for name in datasets_to_create]
|
|
|
|
real_name_to_create = set()
|
|
for response in created_response:
|
|
assert 'data' in response, "Response is missing 'data' key"
|
|
dataset_name = response['data']['dataset_name']
|
|
real_name_to_create.add(dataset_name)
|
|
|
|
status_code, listed_data = ragflow.list_dataset(0, 3)
|
|
listed_data = listed_data['data']
|
|
|
|
listed_names = {d['name'] for d in listed_data}
|
|
assert listed_names == real_name_to_create
|
|
assert status_code == 200
|
|
assert len(listed_data) == len(datasets_to_create)
|
|
|
|
def test_list_dataset_with_getting_empty_result(self):
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
datasets_to_create = []
|
|
created_response = [ragflow.create_dataset(name) for name in datasets_to_create]
|
|
|
|
real_name_to_create = set()
|
|
for response in created_response:
|
|
assert 'data' in response, "Response is missing 'data' key"
|
|
dataset_name = response['data']['dataset_name']
|
|
real_name_to_create.add(dataset_name)
|
|
|
|
status_code, listed_data = ragflow.list_dataset(0, 0)
|
|
listed_data = listed_data['data']
|
|
|
|
listed_names = {d['name'] for d in listed_data}
|
|
assert listed_names == real_name_to_create
|
|
assert status_code == 200
|
|
assert len(listed_data) == 0
|
|
|
|
def test_list_dataset_with_creating_100_knowledge_bases(self):
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
datasets_to_create = ["dataset1"] * 100
|
|
created_response = [ragflow.create_dataset(name) for name in datasets_to_create]
|
|
|
|
real_name_to_create = set()
|
|
for response in created_response:
|
|
assert 'data' in response, "Response is missing 'data' key"
|
|
dataset_name = response['data']['dataset_name']
|
|
real_name_to_create.add(dataset_name)
|
|
|
|
status_code, listed_data = ragflow.list_dataset(0, 100)
|
|
listed_data = listed_data['data']
|
|
|
|
listed_names = {d['name'] for d in listed_data}
|
|
assert listed_names == real_name_to_create
|
|
assert status_code == 200
|
|
assert len(listed_data) == 100
|
|
|
|
def test_list_dataset_with_showing_one_dataset(self):
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
response = ragflow.list_dataset(0, 1)
|
|
code, response = response
|
|
datasets = response['data']
|
|
assert len(datasets) == 1
|
|
|
|
def test_list_dataset_failure(self):
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
response = ragflow.list_dataset(-1, -1)
|
|
_, res = response
|
|
assert "IndexError" in res['message']
|
|
|
|
def test_delete_one_dataset_with_success(self):
|
|
# get the real name of the created dataset
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
res = ragflow.create_dataset("kb0")
|
|
real_dataset_name = res['data']['dataset_name']
|
|
print("name", real_dataset_name)
|
|
# delete this dataset
|
|
result = ragflow.delete_dataset(real_dataset_name)
|
|
print(result)
|
|
assert result["success"] is True
|
|
|
|
def test_delete_dataset_with_not_existing_dataset(self):
|
|
ragflow = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
res = ragflow.delete_dataset("weird_dataset")
|
|
assert res["success"] is False
|
|
|
|
|
|
|