Download ragflow-main/sdk/python/ragflow_sdk/modules/document.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/ragflow_sdk/modules/document.py
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hf download hf://datasets/pandaall/ragflow/ragflow-main/sdk/python/ragflow_sdk/modules/document.py
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curl -L -o document.py https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/sdk/python/ragflow_sdk/modules/document.py
3.32 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 json | |
| from .base import Base | |
| from .chunk import Chunk | |
| class Document(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.thumbnail = None | |
| self.dataset_id = None | |
| self.chunk_method = "naive" | |
| self.parser_config = {"pages": [[1, 1000000]]} | |
| self.source_type = "local" | |
| self.type = "" | |
| self.created_by = "" | |
| self.size = 0 | |
| self.token_count = 0 | |
| self.chunk_count = 0 | |
| self.progress = 0.0 | |
| self.progress_msg = "" | |
| self.process_begin_at = None | |
| self.process_duration = 0.0 | |
| self.run = "0" | |
| self.status = "1" | |
| 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.dataset_id}/documents/{self.id}', | |
| update_message) | |
| res = res.json() | |
| if res.get("code") != 0: | |
| raise Exception(res["message"]) | |
| def download(self): | |
| res = self.get(f"/datasets/{self.dataset_id}/documents/{self.id}") | |
| try: | |
| res = res.json() | |
| raise Exception(res.get("message")) | |
| except json.JSONDecodeError: | |
| return res.content | |
| def list_chunks(self, page=1, page_size=30, keywords=""): | |
| data = {"keywords": keywords, "page": page, "page_size": page_size} | |
| res = self.get(f'/datasets/{self.dataset_id}/documents/{self.id}/chunks', data) | |
| res = res.json() | |
| if res.get("code") == 0: | |
| chunks = [] | |
| for data in res["data"].get("chunks"): | |
| chunk = Chunk(self.rag, data) | |
| chunks.append(chunk) | |
| return chunks | |
| raise Exception(res.get("message")) | |
| def add_chunk(self, content: str, important_keywords: list[str] = [], questions: list[str] = []): | |
| res = self.post(f'/datasets/{self.dataset_id}/documents/{self.id}/chunks', | |
| {"content": content, "important_keywords": important_keywords, "questions": questions}) | |
| res = res.json() | |
| if res.get("code") == 0: | |
| return Chunk(self.rag, res["data"].get("chunk")) | |
| raise Exception(res.get("message")) | |
| def delete_chunks(self, ids: list[str] | None = None): | |
| res = self.rm(f"/datasets/{self.dataset_id}/documents/{self.id}/chunks", {"chunk_ids": ids}) | |
| res = res.json() | |
| if res.get("code") != 0: | |
| raise Exception(res.get("message")) | |