|
| 1 | +import logging |
| 2 | +from typing import Optional, List, Dict, Any, Union |
| 3 | +from pprint import pprint |
| 4 | + |
| 5 | +from ..._resource import AsyncAPIResource, SyncAPIResource |
| 6 | +from ..._response import APIResponse |
| 7 | +from ...types.knowledge_base.knowledge_base import ( |
| 8 | + HybridRecallRequest, |
| 9 | + PaperRecallRequest, |
| 10 | + PaperInfo, |
| 11 | + ChunkSearchRequest |
| 12 | +) |
| 13 | + |
| 14 | +log = logging.getLogger(__name__) |
| 15 | + |
| 16 | + |
| 17 | +class KnowledgeBase(SyncAPIResource): |
| 18 | + """知识库相关接口""" |
| 19 | + |
| 20 | + def hybrid_recall( |
| 21 | + self, |
| 22 | + knowledge_base_id: int, |
| 23 | + text: str, |
| 24 | + k: int = 200, |
| 25 | + keywords: Optional[Dict[str, float]] = None, |
| 26 | + **kwargs |
| 27 | + ): |
| 28 | + """知识库混合召回""" |
| 29 | + log.info(f"hybrid recall from knowledge base: {knowledge_base_id}") |
| 30 | + |
| 31 | + data = { |
| 32 | + "knowledge_base_id": knowledge_base_id, |
| 33 | + "text": text, |
| 34 | + "k": k |
| 35 | + } |
| 36 | + |
| 37 | + if keywords: |
| 38 | + data["keywords"] = keywords |
| 39 | + if kwargs: |
| 40 | + data.update(kwargs) |
| 41 | + |
| 42 | + response = self._client.post("/openapi/v1/knowledge/recall/hybrid", json=data) |
| 43 | + log.info(response.json()) |
| 44 | + return APIResponse(response).json.get("data") |
| 45 | + |
| 46 | + def paper_recall( |
| 47 | + self, |
| 48 | + text: str, |
| 49 | + k: int, |
| 50 | + papers: List[Dict[str, str]], |
| 51 | + **kwargs |
| 52 | + ): |
| 53 | + """单篇论文召回""" |
| 54 | + log.info(f"paper recall: {len(papers)} papers") |
| 55 | + |
| 56 | + data = { |
| 57 | + "text": text, |
| 58 | + "k": k, |
| 59 | + "papers": papers |
| 60 | + } |
| 61 | + |
| 62 | + if kwargs: |
| 63 | + data.update(kwargs) |
| 64 | + |
| 65 | + response = self._client.post("/openapi/v1/knowledge/recall/papers", json=data) |
| 66 | + log.info(response.json()) |
| 67 | + return APIResponse(response).json.get("data") |
| 68 | + |
| 69 | + def get_file_tree( |
| 70 | + self, |
| 71 | + folder_id: str, |
| 72 | + **kwargs |
| 73 | + ): |
| 74 | + """获取单篇切片文件树""" |
| 75 | + log.info(f"get file tree for folder: {folder_id}") |
| 76 | + |
| 77 | + params = {"folderId": folder_id} |
| 78 | + if kwargs: |
| 79 | + params.update(kwargs) |
| 80 | + |
| 81 | + response = self._client.get("/openapi/v1/knowledge/folder/file_tree", params=params) |
| 82 | + log.info(response.json()) |
| 83 | + return APIResponse(response).json.get("data") |
| 84 | + |
| 85 | + def search_by_md5_paper_id( |
| 86 | + self, |
| 87 | + md5: str, |
| 88 | + paper_id: str = "", |
| 89 | + page_num: int = 0, |
| 90 | + page_size: int = 9999, |
| 91 | + **kwargs |
| 92 | + ): |
| 93 | + """根据md5和paper_id搜索chunk信息""" |
| 94 | + log.info(f"search chunk by md5: {md5}, paper_id: {paper_id}") |
| 95 | + |
| 96 | + data = { |
| 97 | + "md5": md5, |
| 98 | + "paper_id": paper_id, |
| 99 | + "page_num": page_num, |
| 100 | + "page_size": page_size |
| 101 | + } |
| 102 | + |
| 103 | + if kwargs: |
| 104 | + data.update(kwargs) |
| 105 | + |
| 106 | + response = self._client.post("/openapi/v1/knowledge/box/search_by_md5_paper_id", json=data) |
| 107 | + log.info(response.json()) |
| 108 | + return APIResponse(response).json.get("data") |
| 109 | + |
| 110 | + |
| 111 | + |
| 112 | +class AsyncKnowledgeBase(AsyncAPIResource): |
| 113 | + """异步知识库相关接口""" |
| 114 | + pass |
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