Download ragflow-main/sdk/python/ragflow_sdk/modules/dataset.py from pandaall/ragflow: direct link, hf CLI and curl.
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- Download file 3.58 kB
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https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/sdk/python/ragflow_sdk/modules/dataset.py
- Command line
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hf download hf://datasets/pandaall/ragflow/ragflow-main/sdk/python/ragflow_sdk/modules/dataset.py
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curl -L -o dataset.py https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/sdk/python/ragflow_sdk/modules/dataset.py
3.58 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. | |
| # | |
| from .document import Document | |
| from .base import Base | |
| class DataSet(Base): | |
| class ParserConfig(Base): | |
| def __init__(self, rag, res_dict): | |
| super().__init__(rag, res_dict) | |
| def __init__(self, rag, res_dict): | |
| self.id = "" | |
| self.name = "" | |
| self.avatar = "" | |
| self.tenant_id = None | |
| self.description = "" | |
| self.language = "English" | |
| self.embedding_model = "" | |
| self.permission = "me" | |
| self.document_count = 0 | |
| self.chunk_count = 0 | |
| self.chunk_method = "naive" | |
| self.parser_config = None | |
| self.pagerank = 0 | |
| for k in list(res_dict.keys()): | |
| if k not in self.__dict__: | |
| res_dict.pop(k) | |
| super().__init__(rag, res_dict) | |
| def update(self, update_message: dict): | |
| res = self.put(f'/datasets/{self.id}', | |
| update_message) | |
| res = res.json() | |
| if res.get("code") != 0: | |
| raise Exception(res["message"]) | |
| def upload_documents(self, document_list: list[dict]): | |
| url = f"/datasets/{self.id}/documents" | |
| files = [("file", (ele["display_name"], ele["blob"])) for ele in document_list] | |
| res = self.post(path=url, json=None, files=files) | |
| res = res.json() | |
| if res.get("code") == 0: | |
| doc_list = [] | |
| for doc in res["data"]: | |
| document = Document(self.rag, doc) | |
| doc_list.append(document) | |
| return doc_list | |
| raise Exception(res.get("message")) | |
| def list_documents(self, id: str | None = None, keywords: str | None = None, page: int = 1, page_size: int = 30, | |
| orderby: str = "create_time", desc: bool = True): | |
| res = self.get(f"/datasets/{self.id}/documents", | |
| params={"id": id, "keywords": keywords, "page": page, "page_size": page_size, "orderby": orderby, | |
| "desc": desc}) | |
| res = res.json() | |
| documents = [] | |
| if res.get("code") == 0: | |
| for document in res["data"].get("docs"): | |
| documents.append(Document(self.rag, document)) | |
| return documents | |
| raise Exception(res["message"]) | |
| def delete_documents(self, ids: list[str] | None = None): | |
| res = self.rm(f"/datasets/{self.id}/documents", {"ids": ids}) | |
| res = res.json() | |
| if res.get("code") != 0: | |
| raise Exception(res["message"]) | |
| def async_parse_documents(self, document_ids): | |
| res = self.post(f"/datasets/{self.id}/chunks", {"document_ids": document_ids}) | |
| res = res.json() | |
| if res.get("code") != 0: | |
| raise Exception(res.get("message")) | |
| def async_cancel_parse_documents(self, document_ids): | |
| res = self.rm(f"/datasets/{self.id}/chunks", {"document_ids": document_ids}) | |
| res = res.json() | |
| if res.get("code") != 0: | |
| raise Exception(res.get("message")) | |