Download ragflow-main/sdk/python/test/test_frontend_api/common.py from pandaall/ragflow: direct link, hf CLI and curl.
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https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/sdk/python/test/test_frontend_api/common.py
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2.83 kB
| # | |
| # Copyright 2025 The InfiniFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| import os | |
| import requests | |
| HOST_ADDRESS = os.getenv('HOST_ADDRESS', 'http://127.0.0.1:9380') | |
| DATASET_NAME_LIMIT = 128 | |
| def create_dataset(auth, dataset_name): | |
| authorization = {"Authorization": auth} | |
| url = f"{HOST_ADDRESS}/v1/kb/create" | |
| json = {"name": dataset_name} | |
| res = requests.post(url=url, headers=authorization, json=json) | |
| return res.json() | |
| def list_dataset(auth, page_number): | |
| authorization = {"Authorization": auth} | |
| url = f"{HOST_ADDRESS}/v1/kb/list?page={page_number}" | |
| res = requests.get(url=url, headers=authorization) | |
| return res.json() | |
| def rm_dataset(auth, dataset_id): | |
| authorization = {"Authorization": auth} | |
| url = f"{HOST_ADDRESS}/v1/kb/rm" | |
| json = {"kb_id": dataset_id} | |
| res = requests.post(url=url, headers=authorization, json=json) | |
| return res.json() | |
| def update_dataset(auth, json_req): | |
| authorization = {"Authorization": auth} | |
| url = f"{HOST_ADDRESS}/v1/kb/update" | |
| res = requests.post(url=url, headers=authorization, json=json_req) | |
| return res.json() | |
| def upload_file(auth, dataset_id, path): | |
| authorization = {"Authorization": auth} | |
| url = f"{HOST_ADDRESS}/v1/document/upload" | |
| json_req = { | |
| "kb_id": dataset_id, | |
| } | |
| file = { | |
| 'file': open(f'{path}', 'rb') | |
| } | |
| res = requests.post(url=url, headers=authorization, files=file, data=json_req) | |
| return res.json() | |
| def list_document(auth, dataset_id): | |
| authorization = {"Authorization": auth} | |
| url = f"{HOST_ADDRESS}/v1/document/list?kb_id={dataset_id}" | |
| res = requests.get(url=url, headers=authorization) | |
| return res.json() | |
| def get_docs_info(auth, doc_ids): | |
| authorization = {"Authorization": auth} | |
| json_req = { | |
| "doc_ids": doc_ids | |
| } | |
| url = f"{HOST_ADDRESS}/v1/document/infos" | |
| res = requests.post(url=url, headers=authorization, json=json_req) | |
| return res.json() | |
| def parse_docs(auth, doc_ids): | |
| authorization = {"Authorization": auth} | |
| json_req = { | |
| "doc_ids": doc_ids, | |
| "run": 1 | |
| } | |
| url = f"{HOST_ADDRESS}/v1/document/run" | |
| res = requests.post(url=url, headers=authorization, json=json_req) | |
| return res.json() | |
| def parse_file(auth, document_id): | |
| pass |