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### What problem does this PR solve? Fix errors detected by Ruff ### Type of change - [x] Refactoring
73 lines
2.4 KiB
Python
73 lines
2.4 KiB
Python
#
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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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from common import create_dataset, list_dataset, rm_dataset, upload_file
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from common import list_document, get_docs_info, parse_docs
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from time import sleep
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from timeit import default_timer as timer
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def test_parse_txt_document(get_auth):
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# create dataset
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res = create_dataset(get_auth, "test_parse_txt_document")
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assert res.get("code") == 0, f"{res.get('message')}"
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# list dataset
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page_number = 1
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dataset_list = []
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dataset_id = None
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while True:
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res = list_dataset(get_auth, page_number)
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data = res.get("data").get("kbs")
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for item in data:
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dataset_id = item.get("id")
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dataset_list.append(dataset_id)
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if len(dataset_list) < page_number * 150:
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break
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page_number += 1
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filename = 'ragflow_test.txt'
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res = upload_file(get_auth, dataset_id, f"../test_sdk_api/test_data/{filename}")
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assert res.get("code") == 0, f"{res.get('message')}"
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res = list_document(get_auth, dataset_id)
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doc_id_list = []
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for doc in res['data']['docs']:
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doc_id_list.append(doc['id'])
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res = get_docs_info(get_auth, doc_id_list)
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print(doc_id_list)
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doc_count = len(doc_id_list)
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res = parse_docs(get_auth, doc_id_list)
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start_ts = timer()
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while True:
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res = get_docs_info(get_auth, doc_id_list)
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finished_count = 0
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for doc_info in res['data']:
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if doc_info['progress'] == 1:
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finished_count += 1
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if finished_count == doc_count:
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break
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sleep(1)
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print('time cost {:.1f}s'.format(timer() - start_ts))
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# delete dataset
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for dataset_id in dataset_list:
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res = rm_dataset(get_auth, dataset_id)
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assert res.get("code") == 0, f"{res.get('message')}"
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print(f"{len(dataset_list)} datasets are deleted")
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