From c82adada8098c7fa362c09f0b11d9d7e1610c9f5 Mon Sep 17 00:00:00 2001 From: JobSmithManipulation <143315462+JobSmithManipulation@users.noreply.github.com> Date: Wed, 11 Sep 2024 19:47:37 +0800 Subject: [PATCH 01/15] update sdk document --- api/apps/sdk/doc.py | 202 +++++++++++++++++++++++++ sdk/python/ragflow/__init__.py | 3 +- sdk/python/ragflow/modules/dataset.py | 40 +++++ sdk/python/ragflow/modules/document.py | 170 +++++++++++++++++++++ sdk/python/ragflow/ragflow.py | 39 ++++- sdk/python/test/t_document.py | 177 ++++++++++++++++++++++ 6 files changed, 626 insertions(+), 5 deletions(-) create mode 100644 api/apps/sdk/doc.py create mode 100644 sdk/python/ragflow/modules/document.py create mode 100644 sdk/python/test/t_document.py diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py new file mode 100644 index 0000000000..0a04650cff --- /dev/null +++ b/api/apps/sdk/doc.py @@ -0,0 +1,202 @@ +from io import BytesIO + +from flask import request,send_file +from flask_login import login_required, current_user + +from api.db.services.document_service import DocumentService +from api.db.services.file2document_service import File2DocumentService +from api.db.services.file_service import FileService +from api.db.services.knowledgebase_service import KnowledgebaseService +from api.settings import RetCode, stat_logger +from api.utils.api_utils import get_json_result, construct_json_result, server_error_response +from api.utils.api_utils import get_json_result, token_required, get_data_error_result +from rag.utils.storage_factory import STORAGE_IMPL +from api.contants import NAME_LENGTH_LIMIT +from api.db import FileType, ParserType, FileSource, TaskStatus +from api.db import StatusEnum +from api.db.db_models import File +from api.db.services import duplicate_name +from api.db.services.document_service import DocumentService +from api.db.services.file2document_service import File2DocumentService +from api.db.services.file_service import FileService +from api.db.services.knowledgebase_service import KnowledgebaseService +from api.db.services.user_service import TenantService, UserTenantService +from api.settings import RetCode +from api.utils import get_uuid +from api.utils.api_utils import construct_json_result, construct_error_response +from api.utils.api_utils import construct_result, validate_request +from api.utils.file_utils import filename_type, thumbnail +from rag.app import book, laws, manual, naive, one, paper, presentation, qa, resume, table, picture, audio, email +from rag.nlp import search +from rag.utils.es_conn import ELASTICSEARCH +from rag.utils.storage_factory import STORAGE_IMPL + + +@manager.route('/dataset//documents/upload', methods=['POST']) +@token_required +def upload(dataset_id, tenant_id): + if 'file' not in request.files: + return get_json_result( + data=False, retmsg='No file part!', retcode=RetCode.ARGUMENT_ERROR) + + file_objs = request.files.getlist('file') + for file_obj in file_objs: + if file_obj.filename == '': + return get_json_result( + data=False, retmsg='No file selected!', retcode=RetCode.ARGUMENT_ERROR) + + # 根据 dataset_id 获取相关数据集 + e, kb = KnowledgebaseService.get_by_id(dataset_id) + if not e: + raise LookupError(f"Can't find the knowledgebase with ID {dataset_id}!") + + # 上传文件到该数据集 + err, _ = FileService.upload_document(kb, file_objs, tenant_id) + if err: + return get_json_result( + data=False, retmsg="\n".join(err), retcode=RetCode.SERVER_ERROR) + return get_json_result(data=True) + + +@manager.route('/infos', methods=['GET']) +@token_required +def docinfos(): + req = request.args + if "id" in req: + doc_id = req["id"] + e, doc = DocumentService.get_by_id(doc_id) + return get_json_result(data=doc.to_json()) + if "name" in req: + doc_name = req["name"] + doc_id = DocumentService.get_doc_id_by_doc_name(doc_name) + e, doc = DocumentService.get_by_id(doc_id) + return get_json_result(data=doc.to_json()) + + +@manager.route('/save', methods=['POST']) +@token_required +def save_doc(): + req = request.json # Expecting JSON input + if "id" in req: + doc_id = req["id"] + if "name" in req: + doc_name = req["name"] + doc_id = DocumentService.get_doc_id_by_doc_name(doc_name) + data = request.json + # Call the update method with the provided id and data + try: + num = DocumentService.update_by_id(doc_id, data) + if num > 0: + return get_json_result(retmsg="success", data={"updated_count": num}) + else: + return get_json_result(retcode=404, retmsg="Document not found") + except Exception as e: + return get_json_result(retmsg=f"Error occurred: {str(e)}") + + +@manager.route("//documents/", methods=["GET"]) +@token_required +def download_document(dataset_id, document_id): + try: + # Check whether there is this dataset + exist, _ = KnowledgebaseService.get_by_id(dataset_id) + if not exist: + return construct_json_result(code=RetCode.DATA_ERROR, + message=f"This dataset '{dataset_id}' cannot be found!") + + # Check whether there is this document + exist, document = DocumentService.get_by_id(document_id) + if not exist: + return construct_json_result(message=f"This document '{document_id}' cannot be found!", + code=RetCode.ARGUMENT_ERROR) + + # The process of downloading + doc_id, doc_location = File2DocumentService.get_minio_address(doc_id=document_id) # minio address + file_stream = STORAGE_IMPL.get(doc_id, doc_location) + if not file_stream: + return construct_json_result(message="This file is empty.", code=RetCode.DATA_ERROR) + + file = BytesIO(file_stream) + + # Use send_file with a proper filename and MIME type + return send_file( + file, + as_attachment=True, + download_name=document.name, + mimetype='application/octet-stream' # Set a default MIME type + ) + + # Error + except Exception as e: + return construct_error_response(e) + +@manager.route('/dataset//documents', methods=['GET']) +@token_required +def list_docs(dataset_id,tenant_id): + kb_id = request.args.get("kb_id") + if not kb_id: + return get_json_result( + data=False, retmsg='Lack of "KB ID"', retcode=RetCode.ARGUMENT_ERROR) + tenants = UserTenantService.query(user_id=tenant_id) + for tenant in tenants: + if KnowledgebaseService.query( + tenant_id=tenant.tenant_id, id=kb_id): + break + else: + return get_json_result( + data=False, retmsg=f'Only owner of knowledgebase authorized for this operation.', + retcode=RetCode.OPERATING_ERROR) + keywords = request.args.get("keywords", "") + + page_number = int(request.args.get("page", 1)) + items_per_page = int(request.args.get("page_size", 15)) + orderby = request.args.get("orderby", "create_time") + desc = request.args.get("desc", True) + try: + docs, tol = DocumentService.get_by_kb_id( + kb_id, page_number, items_per_page, orderby, desc, keywords) + return get_json_result(data={"total": tol, "docs": docs}) + except Exception as e: + return server_error_response(e) + + +@manager.route('/delete', methods=['DELETE']) +@token_required +def rm(tenant_id): + req = request.args + if "doc_id" not in req: + return get_data_error_result( + retmsg="doc_id is required") + doc_ids = req["doc_id"] + if isinstance(doc_ids, str): doc_ids = [doc_ids] + root_folder = FileService.get_root_folder(tenant_id) + pf_id = root_folder["id"] + FileService.init_knowledgebase_docs(pf_id, tenant_id) + errors = "" + for doc_id in doc_ids: + try: + e, doc = DocumentService.get_by_id(doc_id) + if not e: + return get_data_error_result(retmsg="Document not found!") + tenant_id = DocumentService.get_tenant_id(doc_id) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + + b, n = File2DocumentService.get_minio_address(doc_id=doc_id) + + if not DocumentService.remove_document(doc, tenant_id): + return get_data_error_result( + retmsg="Database error (Document removal)!") + + f2d = File2DocumentService.get_by_document_id(doc_id) + FileService.filter_delete([File.source_type == FileSource.KNOWLEDGEBASE, File.id == f2d[0].file_id]) + File2DocumentService.delete_by_document_id(doc_id) + + STORAGE_IMPL.rm(b, n) + except Exception as e: + errors += str(e) + + if errors: + return get_json_result(data=False, retmsg=errors, retcode=RetCode.SERVER_ERROR) + + return get_json_result(data=True,retmsg="success") diff --git a/sdk/python/ragflow/__init__.py b/sdk/python/ragflow/__init__.py index 6965948835..7dc296fd00 100644 --- a/sdk/python/ragflow/__init__.py +++ b/sdk/python/ragflow/__init__.py @@ -5,4 +5,5 @@ from .ragflow import RAGFlow from .modules.dataset import DataSet from .modules.assistant import Assistant -from .modules.session import Session \ No newline at end of file +from .modules.session import Session +from .modules.document import Document \ No newline at end of file diff --git a/sdk/python/ragflow/modules/dataset.py b/sdk/python/ragflow/modules/dataset.py index e9f7b3afce..a0ef8ffed4 100644 --- a/sdk/python/ragflow/modules/dataset.py +++ b/sdk/python/ragflow/modules/dataset.py @@ -1,3 +1,7 @@ +from typing import Optional, List + +from .document import Document + from .base import Base @@ -46,3 +50,39 @@ def delete(self) -> bool: res = res.json() if res.get("retmsg") == "success": return True raise Exception(res["retmsg"]) + + def list_docs(self, keywords: Optional[str] = None, offset: int = 0, limit: int = -1) -> List[Document]: + """ + List the documents in the dataset, optionally filtering by keywords, with pagination support. + + Args: + keywords (Optional[str]): A string of keywords to filter the documents. Defaults to None. + offset (int): The starting point for pagination. Defaults to 0. + limit (int): The maximum number of documents to return. Defaults to -1 (no limit). + + Returns: + List[Document]: A list of Document objects. + """ + # Construct the request payload for listing documents + payload = { + "kb_id": self.id, + "keywords": keywords, + "offset": offset, + "limit": limit + } + + # Send the request to the server to list documents + res = self.get(f'/doc/dataset/{self.id}/documents', payload) + res_json = res.json() + + # Handle response and error checking + if res_json.get("retmsg") != "success": + raise Exception(res_json.get("retmsg")) + + # Parse the document data from the response + documents = [] + for doc_data in res_json["data"].get("docs", []): + doc = Document(self.rag, doc_data) + documents.append(doc) + + return documents diff --git a/sdk/python/ragflow/modules/document.py b/sdk/python/ragflow/modules/document.py new file mode 100644 index 0000000000..46c93b9f50 --- /dev/null +++ b/sdk/python/ragflow/modules/document.py @@ -0,0 +1,170 @@ +from time import sleep, time + +import requests + +from api.settings import RetCode +from .base import Base +from datetime import datetime +from time import sleep +from typing import Tuple, Iterator +import requests + + +class Document(Base): + def __init__(self, rag, res_dict): + self.id = "" + self.name = "" + self.thumbnail = None + self.kb_id = None + self.parser_method = "" + self.parser_config = {"pages": [[1, 1000000]]} + self.source_type = "local" + self.type = "" + self.created_by = "" + self.size = 0 + self.token_num = 0 + self.chunk_num = 0 + self.progress = 0.0 + self.progress_msg = "" + self.process_begin_at = None + self.process_duration = 0.0 + for k in list(res_dict.keys()): + if k not in self.__dict__: + res_dict.pop(k) + super().__init__(rag, res_dict) + + def save(self) -> bool: + """ + Save the document details to the server. + """ + res = self.post('/doc/save', + {"id": self.id, "name": self.name, "thumbnail": self.thumbnail, "kb_id": self.kb_id, + "parser_id": self.parser_method, "parser_config": self.parser_config.to_json(), + "source_type": self.source_type, "type": self.type, "created_by": self.created_by, + "size": self.size, "token_num": self.token_num, "chunk_num": self.chunk_num, + "progress": self.progress, "progress_msg": self.progress_msg, + "process_begin_at": self.process_begin_at, "process_duation": self.process_duration + }) + res = res.json() + if res.get("retmsg") == "success": + return True + raise Exception(res["retmsg"]) + + def delete(self) -> bool: + """ + Delete the document from the server. + """ + res = self.rm('/doc/delete', + {"doc_id": self.id}) + res = res.json() + if res.get("retmsg") == "success": + return True + raise Exception(res["retmsg"]) + + def download(self) -> bytes: + """ + Download the document content from the server using the Flask API. + + :return: The downloaded document content in bytes. + """ + # 拼接API请求的URL,使用文档ID和数据集ID + res=self.get(f"/doc/{self.kb_id}/documents/{self.id}",{"headers":self.rag.authorization_header,"id": self.id,"name": self.name,"stream":True}) + # api_url = f"{self.rag.api_url}/{self.kb_id}/documents/{self.id}" + # + # # 发送GET请求以下载文档 + # response = requests.get(api_url, headers=self.rag.authorization_header, stream=True) + + # 检查响应状态码并确保请求成功 + if res.status_code == 200: + # 将文档内容以字节形式返回 + return res.content + else: + # 处理错误并抛出异常 + raise Exception( + f"Failed to download document. Server responded with: {res.status_code}, {res.text}") + + def async_parse(self) -> None: + """ + Start asynchronous document parsing by sending a request to the server. + """ + # API路径:启动文档解析 + url = f"/{self.kb_id}/documents/{self.id}/status" + + # 发送POST请求以启动文档解析 + res = self.rag.post(url) + + # 检查返回结果 + res_data = res.json() + if res_data.get("code") != RetCode.SUCCESS: + raise Exception( + f"Failed to start parsing document '{self.id}'. Server responded with: {res_data['message']}") + + print(f"Document '{self.id}' parsing started successfully.") + + def join(self, interval=15, timeout=3600) -> iter: + """ + Wait for the document parsing process to complete, checking the status at regular intervals. + + :param interval: Time interval in seconds to check the parsing status. + :param timeout: Maximum time in seconds to wait for the parsing to complete. + :return: An iterator that yields the progress percentage and message at each check. + """ + # API路径:获取文档解析状态 + url = f"/{self.kb_id}/documents/{self.id}/status" + + start_time = time() + + while time() - start_time < timeout: + # 发送GET请求获取文档的解析状态 + res = self.rag.get(url) + res_data = res.json() + + if res_data["code"] != RetCode.SUCCESS: + raise Exception(f"Failed to retrieve document status: {res_data['message']}") + + progress = res_data["data"]["progress"] + status = res_data["data"]["status"] + + # 返回当前进度和状态消息 + yield progress, f"Status: {status}, Progress: {progress}%" + + # 如果解析已完成,则退出循环 + if status != "RUNNING": + break + + # 等待下一个状态检查 + sleep(interval) + + if time() - start_time >= timeout: + raise TimeoutError(f"Timeout reached while waiting for document '{self.id}' parsing to complete.") + + def parse(self, interval=15, timeout=3600) -> iter: + """ + Start document parsing and wait for it to complete. + + :param interval: Time interval in seconds to check the parsing status. + :param timeout: Maximum time in seconds to wait for the parsing to complete. + :return: An iterator that yields the progress percentage and message at each check. + """ + # 启动异步解析 + self.async_parse() + + # 等待解析完成 + yield from self.join(interval=interval, timeout=timeout) + + def cancel(self) -> None: + """ + Cancel the parsing of the document. + """ + # API路径:取消文档解析 + url = f"/{self.kb_id}/documents/{self.id}/status" + + # 发送DELETE请求以取消文档解析 + res = self.rag.delete(url) + + res_data = res.json() + if res_data.get("code") != RetCode.SUCCESS: + raise Exception( + f"Failed to cancel parsing document '{self.id}'. Server responded with: {res_data['message']}") + + print(f"Document '{self.id}' parsing cancelled successfully.") diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index 80ac415fc6..318cb90af3 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -19,7 +19,7 @@ from .modules.assistant import Assistant from .modules.dataset import DataSet - +from .modules.document import Document class RAGFlow: def __init__(self, user_key, base_url, version='v1'): @@ -30,8 +30,8 @@ def __init__(self, user_key, base_url, version='v1'): self.api_url = f"{base_url}/api/{version}" self.authorization_header = {"Authorization": "{} {}".format("Bearer", self.user_key)} - def post(self, path, param, stream=False): - res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header, stream=stream) + def post(self, path, param): + res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header) return res def get(self, path, params=None): @@ -87,7 +87,7 @@ def create_assistant(self, name: str = "assistant", avatar: str = "path", knowle datasets.append(dataset.to_json()) if llm is None: - llm = Assistant.LLM(self, {"model_name": None, + llm = Assistant.LLM(self, {"model_name": "deepseek-chat", "temperature": 0.1, "top_p": 0.3, "presence_penalty": 0.4, @@ -142,3 +142,34 @@ def list_assistants(self) -> List[Assistant]: result_list.append(Assistant(self, data)) return result_list raise Exception(res["retmsg"]) + + def create_document(self, ds:DataSet, name: str, blob: bytes) -> bool: + url = f"/doc/dataset/{ds.id}/documents/upload" # 数据集的上传 API 地址 + files = { + 'file': (name, blob) # 使用表单上传文件 + } + data = { + 'kb_id': ds.id # 目标知识库的 ID + } + headers = { + 'Authorization': f"Bearer {ds.rag.user_key}" # 认证头 + } + + # response = self.post(url, payload) + response = requests.post(self.api_url + url, data=data, files=files, + headers=headers) + #因为有二进制数据不能json序列化,所以不调用base的post方法 + + if response.status_code == 200 and response.json().get('retmsg') == 'success': + return True + else: + raise Exception(f"Upload failed: {response.json().get('retmsg')}") + + return False + def get_document(self, id: str = None, name: str = None) -> Document: + res = self.get("/doc/infos", {"id": id, "name": name}) + res = res.json() + if res.get("retmsg") == "success": + return Document(self, res['data']) + raise Exception(res["retmsg"]) + diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py new file mode 100644 index 0000000000..448b9075c9 --- /dev/null +++ b/sdk/python/test/t_document.py @@ -0,0 +1,177 @@ +from ragflow import RAGFlow, DataSet, Document + +from common import API_KEY, HOST_ADDRESS +from test_sdkbase import TestSdk + + +class TestDocument(TestSdk): + def test_upload_document_with_success(self): + """ + Test ingesting a document into a dataset with success. + """ + # Initialize RAGFlow instance + rag = RAGFlow(API_KEY, HOST_ADDRESS) + + # Step 1: Create a new dataset + ds = rag.create_dataset(name="God") + + # Ensure dataset creation was successful + assert isinstance(ds, DataSet), f"Failed to create dataset, error: {ds}" + assert ds.name == "God", "Dataset name does not match." + + # Step 2: Create a new document + # The blob is the actual file content or a placeholder in this case + name = "TestDocument.txt" + blob = b"Sample document content for ingestion test." + + res = rag.create_document(ds, name=name, blob=blob) + + # Ensure document ingestion was successful + assert res is True, f"Failed to create document, error: {res}" + + def test_get_detail_document_with_success(self): + """ + Test getting a document's detail with success + """ + rag = RAGFlow(API_KEY, HOST_ADDRESS) + doc = rag.get_document(name="TestDocument.txt") + assert isinstance(doc, Document), f"Failed to get dataset, error: {doc}." + assert doc.name == "TestDocument.txt", "Name does not match" + + def test_update_document_with_success(self): + """ + Test updating a document with success. + """ + rag = RAGFlow(API_KEY, HOST_ADDRESS) + doc = rag.get_document(name="TestDocument.txt") + if isinstance(doc, Document): + doc.parser_method = "manual" + res = doc.save() + assert res is True, f"Failed to update document, error: {res}" + else: + assert False, f"Failed to get document, error: {doc}" + + + def test_download_document_with_success(self): + """ + Test downloading a document with success. + """ + # 初始化 RAGFlow 实例 + rag = RAGFlow(API_KEY, HOST_ADDRESS) + + # 获取文档 + doc = rag.get_document(name="TestDocument.txt") + + # 判断获取的文档是否为 Document 类型 + if isinstance(doc, Document): + # 下载文档内容并保存到文件 + try: + with open("ragflow.txt", "wb+") as file: + file.write(doc.download()) + # 打印文档对象供调试 + print(doc) + + # 断言下载成功 + assert True, "Document downloaded successfully." + except Exception as e: + # 如果发生错误则抛出异常 + assert False, f"Failed to download document, error: {str(e)}" + else: + # 如果获取文档失败,则断言失败 + assert False, f"Failed to get document, error: {doc}" + + def test_list_all_documents_in_dataset_with_success(self): + """ + Test list all documents into a dataset with success. + """ + # Initialize RAGFlow instance + rag = RAGFlow(API_KEY, HOST_ADDRESS) + + # Step 1: Create a new dataset + ds = rag.create_dataset(name="God2") + + # Ensure dataset creation was successful + assert isinstance(ds, DataSet), f"Failed to create dataset, error: {ds}" + assert ds.name == "God2", "Dataset name does not match." + + # Step 2: Create a new document + # The blob is the actual file content or a placeholder in this case + name1 = "Test Document111.txt" + blob1 = b"Sample document content for ingestion test111." + name2 = "Test Document222.txt" + blob2 = b"Sample document content for ingestion test222." + + rag.create_document(ds, name=name1, blob=blob1) + rag.create_document(ds, name=name2, blob=blob2) + for d in ds.list_docs(keywords="test", offset=0, limit=12): + assert isinstance(d, Document) + print(d) + + def test_delete_documents_in_dataset_with_success(self): + """ + Test list all documents into a dataset with success. + """ + # Initialize RAGFlow instance + rag = RAGFlow(API_KEY, HOST_ADDRESS) + + # Step 1: Create a new dataset + ds = rag.create_dataset(name="God3") + + # Ensure dataset creation was successful + assert isinstance(ds, DataSet), f"Failed to create dataset, error: {ds}" + assert ds.name == "God3", "Dataset name does not match." + + # Step 2: Create a new document + # The blob is the actual file content or a placeholder in this case + name1 = "Test Document333.txt" + blob1 = b"Sample document content for ingestion test333." + name2 = "Test Document444.txt" + blob2 = b"Sample document content for ingestion test444." + path='document 111.txt' + rag.create_document(ds, name=path, blob=open(path, "rb").read()) + rag.create_document(ds, name=name1, blob=blob1) + rag.create_document(ds, name=name2, blob=blob2) + for d in ds.list_docs(keywords="document", offset=0, limit=12): + assert isinstance(d, Document) + d.delete() + print(d) + remaining_docs = ds.list_docs(keywords="rag", offset=0, limit=12) + assert len(remaining_docs) == 0, "Documents were not properly deleted." + + def test_parse_document_with_success(self): + """ + Test parse a document with success. + """ + rag = RAGFlow(API_KEY, HOST_ADDRESS) + doc = rag.get_document(name="TestDocument.txt") + # Start parsing the document (synchronous parsing) + for progress, msg in doc.parse(interval=15, timeout=30): + print(f"Progress: {progress}, Message: {msg}") + # Assert that progress is within the correct range + assert 0 <= progress <= 100, f"Unexpected progress value: {progress}" + # Check that a message is returned + assert msg is not None, "Message during parse should not be None" + + # Ensure that the document parsing is completed + assert progress == 100, "Document parsing did not complete to 100%." + + # Start async parsing (asynchronous parsing) + doc.async_parse() + + # Wait for parsing to finish using the join method + for progress, msg in doc.join(interval=15, timeout=30): + print(f"Async Progress: {progress}, Message: {msg}") + assert 0 <= progress <= 100, f"Unexpected async progress value: {progress}" + assert msg is not None, "Message during async parse should not be None" + + # Ensure async parsing is complete + assert progress == 100, "Asynchronous document parsing did not complete to 100%." + + # Step 6: Cancel the parsing (if applicable) + cancel_result = doc.cancel() + + # Ensure cancellation was successful + assert cancel_result is True, "Document parsing cancellation failed." + + + From a94db72971a239a10f9132c8bbe455b770279a16 Mon Sep 17 00:00:00 2001 From: JobSmithManipulation <143315462+JobSmithManipulation@users.noreply.github.com> Date: Thu, 12 Sep 2024 10:22:59 +0800 Subject: [PATCH 02/15] update sdk of document and English comment -use English comment -delete some unused or unfinished code of document sdk . --- api/apps/sdk/doc.py | 26 +----- sdk/python/ragflow/modules/base.py | 2 +- sdk/python/ragflow/modules/document.py | 113 ++----------------------- sdk/python/ragflow/ragflow.py | 10 +-- sdk/python/test/ragflow.txt | 1 + sdk/python/test/t_document.py | 57 +++---------- 6 files changed, 29 insertions(+), 180 deletions(-) create mode 100644 sdk/python/test/ragflow.txt diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py index 0a04650cff..8ec10592fc 100644 --- a/api/apps/sdk/doc.py +++ b/api/apps/sdk/doc.py @@ -1,34 +1,17 @@ from io import BytesIO from flask import request,send_file -from flask_login import login_required, current_user - -from api.db.services.document_service import DocumentService -from api.db.services.file2document_service import File2DocumentService -from api.db.services.file_service import FileService -from api.db.services.knowledgebase_service import KnowledgebaseService -from api.settings import RetCode, stat_logger from api.utils.api_utils import get_json_result, construct_json_result, server_error_response from api.utils.api_utils import get_json_result, token_required, get_data_error_result -from rag.utils.storage_factory import STORAGE_IMPL -from api.contants import NAME_LENGTH_LIMIT from api.db import FileType, ParserType, FileSource, TaskStatus -from api.db import StatusEnum from api.db.db_models import File -from api.db.services import duplicate_name from api.db.services.document_service import DocumentService from api.db.services.file2document_service import File2DocumentService from api.db.services.file_service import FileService from api.db.services.knowledgebase_service import KnowledgebaseService from api.db.services.user_service import TenantService, UserTenantService from api.settings import RetCode -from api.utils import get_uuid from api.utils.api_utils import construct_json_result, construct_error_response -from api.utils.api_utils import construct_result, validate_request -from api.utils.file_utils import filename_type, thumbnail -from rag.app import book, laws, manual, naive, one, paper, presentation, qa, resume, table, picture, audio, email -from rag.nlp import search -from rag.utils.es_conn import ELASTICSEARCH from rag.utils.storage_factory import STORAGE_IMPL @@ -38,19 +21,14 @@ def upload(dataset_id, tenant_id): if 'file' not in request.files: return get_json_result( data=False, retmsg='No file part!', retcode=RetCode.ARGUMENT_ERROR) - file_objs = request.files.getlist('file') for file_obj in file_objs: if file_obj.filename == '': return get_json_result( data=False, retmsg='No file selected!', retcode=RetCode.ARGUMENT_ERROR) - - # 根据 dataset_id 获取相关数据集 e, kb = KnowledgebaseService.get_by_id(dataset_id) if not e: raise LookupError(f"Can't find the knowledgebase with ID {dataset_id}!") - - # 上传文件到该数据集 err, _ = FileService.upload_document(kb, file_objs, tenant_id) if err: return get_json_result( @@ -60,7 +38,7 @@ def upload(dataset_id, tenant_id): @manager.route('/infos', methods=['GET']) @token_required -def docinfos(): +def docinfos(tenant_id): req = request.args if "id" in req: doc_id = req["id"] @@ -75,7 +53,7 @@ def docinfos(): @manager.route('/save', methods=['POST']) @token_required -def save_doc(): +def save_doc(tenant_id): req = request.json # Expecting JSON input if "id" in req: doc_id = req["id"] diff --git a/sdk/python/ragflow/modules/base.py b/sdk/python/ragflow/modules/base.py index 0979377781..5fb4fb929d 100644 --- a/sdk/python/ragflow/modules/base.py +++ b/sdk/python/ragflow/modules/base.py @@ -19,7 +19,7 @@ def to_json(self): return pr def post(self, path, param, stream=False): - res = self.rag.post(path, param, stream=stream) + res = self.rag.post(path, param) return res def get(self, path, params): diff --git a/sdk/python/ragflow/modules/document.py b/sdk/python/ragflow/modules/document.py index 46c93b9f50..55aab0278c 100644 --- a/sdk/python/ragflow/modules/document.py +++ b/sdk/python/ragflow/modules/document.py @@ -1,13 +1,6 @@ -from time import sleep, time -import requests - -from api.settings import RetCode from .base import Base -from datetime import datetime -from time import sleep -from typing import Tuple, Iterator -import requests + class Document(Base): @@ -67,104 +60,16 @@ def download(self) -> bytes: :return: The downloaded document content in bytes. """ - # 拼接API请求的URL,使用文档ID和数据集ID - res=self.get(f"/doc/{self.kb_id}/documents/{self.id}",{"headers":self.rag.authorization_header,"id": self.id,"name": self.name,"stream":True}) - # api_url = f"{self.rag.api_url}/{self.kb_id}/documents/{self.id}" - # - # # 发送GET请求以下载文档 - # response = requests.get(api_url, headers=self.rag.authorization_header, stream=True) + # Construct the URL for the API request using the document ID and knowledge base ID + res = self.get(f"/doc/{self.kb_id}/documents/{self.id}", + {"headers": self.rag.authorization_header, "id": self.id, "name": self.name, "stream": True}) - # 检查响应状态码并确保请求成功 + # Check the response status code to ensure the request was successful if res.status_code == 200: - # 将文档内容以字节形式返回 + # Return the document content as bytes return res.content else: - # 处理错误并抛出异常 + # Handle the error and raise an exception raise Exception( - f"Failed to download document. Server responded with: {res.status_code}, {res.text}") - - def async_parse(self) -> None: - """ - Start asynchronous document parsing by sending a request to the server. - """ - # API路径:启动文档解析 - url = f"/{self.kb_id}/documents/{self.id}/status" - - # 发送POST请求以启动文档解析 - res = self.rag.post(url) - - # 检查返回结果 - res_data = res.json() - if res_data.get("code") != RetCode.SUCCESS: - raise Exception( - f"Failed to start parsing document '{self.id}'. Server responded with: {res_data['message']}") - - print(f"Document '{self.id}' parsing started successfully.") - - def join(self, interval=15, timeout=3600) -> iter: - """ - Wait for the document parsing process to complete, checking the status at regular intervals. - - :param interval: Time interval in seconds to check the parsing status. - :param timeout: Maximum time in seconds to wait for the parsing to complete. - :return: An iterator that yields the progress percentage and message at each check. - """ - # API路径:获取文档解析状态 - url = f"/{self.kb_id}/documents/{self.id}/status" - - start_time = time() - - while time() - start_time < timeout: - # 发送GET请求获取文档的解析状态 - res = self.rag.get(url) - res_data = res.json() - - if res_data["code"] != RetCode.SUCCESS: - raise Exception(f"Failed to retrieve document status: {res_data['message']}") - - progress = res_data["data"]["progress"] - status = res_data["data"]["status"] - - # 返回当前进度和状态消息 - yield progress, f"Status: {status}, Progress: {progress}%" - - # 如果解析已完成,则退出循环 - if status != "RUNNING": - break - - # 等待下一个状态检查 - sleep(interval) - - if time() - start_time >= timeout: - raise TimeoutError(f"Timeout reached while waiting for document '{self.id}' parsing to complete.") - - def parse(self, interval=15, timeout=3600) -> iter: - """ - Start document parsing and wait for it to complete. - - :param interval: Time interval in seconds to check the parsing status. - :param timeout: Maximum time in seconds to wait for the parsing to complete. - :return: An iterator that yields the progress percentage and message at each check. - """ - # 启动异步解析 - self.async_parse() - - # 等待解析完成 - yield from self.join(interval=interval, timeout=timeout) - - def cancel(self) -> None: - """ - Cancel the parsing of the document. - """ - # API路径:取消文档解析 - url = f"/{self.kb_id}/documents/{self.id}/status" - - # 发送DELETE请求以取消文档解析 - res = self.rag.delete(url) - - res_data = res.json() - if res_data.get("code") != RetCode.SUCCESS: - raise Exception( - f"Failed to cancel parsing document '{self.id}'. Server responded with: {res_data['message']}") - - print(f"Document '{self.id}' parsing cancelled successfully.") + f"Failed to download document. Server responded with: {res.status_code}, {res.text}" + ) diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index 318cb90af3..eef65be53d 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -144,21 +144,19 @@ def list_assistants(self) -> List[Assistant]: raise Exception(res["retmsg"]) def create_document(self, ds:DataSet, name: str, blob: bytes) -> bool: - url = f"/doc/dataset/{ds.id}/documents/upload" # 数据集的上传 API 地址 + url = f"/doc/dataset/{ds.id}/documents/upload" files = { - 'file': (name, blob) # 使用表单上传文件 + 'file': (name, blob) } data = { - 'kb_id': ds.id # 目标知识库的 ID + 'kb_id': ds.id } headers = { - 'Authorization': f"Bearer {ds.rag.user_key}" # 认证头 + 'Authorization': f"Bearer {ds.rag.user_key}" } - # response = self.post(url, payload) response = requests.post(self.api_url + url, data=data, files=files, headers=headers) - #因为有二进制数据不能json序列化,所以不调用base的post方法 if response.status_code == 200 and response.json().get('retmsg') == 'success': return True diff --git a/sdk/python/test/ragflow.txt b/sdk/python/test/ragflow.txt new file mode 100644 index 0000000000..59b7a28791 --- /dev/null +++ b/sdk/python/test/ragflow.txt @@ -0,0 +1 @@ +{"data":null,"retcode":100,"retmsg":"TypeError(\"download_document() got an unexpected keyword argument 'tenant_id'\")"} diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py index 448b9075c9..4a9ce30fab 100644 --- a/sdk/python/test/t_document.py +++ b/sdk/python/test/t_document.py @@ -51,33 +51,32 @@ def test_update_document_with_success(self): else: assert False, f"Failed to get document, error: {doc}" - def test_download_document_with_success(self): """ Test downloading a document with success. """ - # 初始化 RAGFlow 实例 + # Initialize RAGFlow instance rag = RAGFlow(API_KEY, HOST_ADDRESS) - # 获取文档 + # Retrieve a document doc = rag.get_document(name="TestDocument.txt") - # 判断获取的文档是否为 Document 类型 + # Check if the retrieved document is of type Document if isinstance(doc, Document): - # 下载文档内容并保存到文件 + # Download the document content and save it to a file try: with open("ragflow.txt", "wb+") as file: file.write(doc.download()) - # 打印文档对象供调试 + # Print the document object for debugging print(doc) - # 断言下载成功 + # Assert that the download was successful assert True, "Document downloaded successfully." except Exception as e: - # 如果发生错误则抛出异常 + # If an error occurs, raise an assertion error assert False, f"Failed to download document, error: {str(e)}" else: - # 如果获取文档失败,则断言失败 + # If the document retrieval fails, assert failure assert False, f"Failed to get document, error: {doc}" def test_list_all_documents_in_dataset_with_success(self): @@ -127,8 +126,9 @@ def test_delete_documents_in_dataset_with_success(self): blob1 = b"Sample document content for ingestion test333." name2 = "Test Document444.txt" blob2 = b"Sample document content for ingestion test444." - path='document 111.txt' - rag.create_document(ds, name=path, blob=open(path, "rb").read()) + name3='test.txt' + path='test_data/test.txt' + rag.create_document(ds, name=name3, blob=open(path, "rb").read()) rag.create_document(ds, name=name1, blob=blob1) rag.create_document(ds, name=name2, blob=blob2) for d in ds.list_docs(keywords="document", offset=0, limit=12): @@ -138,40 +138,7 @@ def test_delete_documents_in_dataset_with_success(self): remaining_docs = ds.list_docs(keywords="rag", offset=0, limit=12) assert len(remaining_docs) == 0, "Documents were not properly deleted." - def test_parse_document_with_success(self): - """ - Test parse a document with success. - """ - rag = RAGFlow(API_KEY, HOST_ADDRESS) - doc = rag.get_document(name="TestDocument.txt") - # Start parsing the document (synchronous parsing) - for progress, msg in doc.parse(interval=15, timeout=30): - print(f"Progress: {progress}, Message: {msg}") - # Assert that progress is within the correct range - assert 0 <= progress <= 100, f"Unexpected progress value: {progress}" - # Check that a message is returned - assert msg is not None, "Message during parse should not be None" - - # Ensure that the document parsing is completed - assert progress == 100, "Document parsing did not complete to 100%." - - # Start async parsing (asynchronous parsing) - doc.async_parse() - - # Wait for parsing to finish using the join method - for progress, msg in doc.join(interval=15, timeout=30): - print(f"Async Progress: {progress}, Message: {msg}") - assert 0 <= progress <= 100, f"Unexpected async progress value: {progress}" - assert msg is not None, "Message during async parse should not be None" - - # Ensure async parsing is complete - assert progress == 100, "Asynchronous document parsing did not complete to 100%." - - # Step 6: Cancel the parsing (if applicable) - cancel_result = doc.cancel() - - # Ensure cancellation was successful - assert cancel_result is True, "Document parsing cancellation failed." + From b6c5cae4b3d4d4ac64f1bd1b7c8a49aa0dae5f37 Mon Sep 17 00:00:00 2001 From: JobSmithManipulation <143315462+JobSmithManipulation@users.noreply.github.com> Date: Thu, 12 Sep 2024 10:39:53 +0800 Subject: [PATCH 03/15] solve stream parameter --- sdk/python/ragflow/modules/base.py | 2 +- sdk/python/ragflow/ragflow.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/sdk/python/ragflow/modules/base.py b/sdk/python/ragflow/modules/base.py index 5fb4fb929d..547c253a65 100644 --- a/sdk/python/ragflow/modules/base.py +++ b/sdk/python/ragflow/modules/base.py @@ -19,7 +19,7 @@ def to_json(self): return pr def post(self, path, param, stream=False): - res = self.rag.post(path, param) + res = self.rag.post(path, param,stream=stream) return res def get(self, path, params): diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index eef65be53d..57171d5127 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -30,8 +30,8 @@ def __init__(self, user_key, base_url, version='v1'): self.api_url = f"{base_url}/api/{version}" self.authorization_header = {"Authorization": "{} {}".format("Bearer", self.user_key)} - def post(self, path, param): - res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header) + def post(self, path, param,stream=False): + res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header,stream=stream) return res def get(self, path, params=None): @@ -87,7 +87,7 @@ def create_assistant(self, name: str = "assistant", avatar: str = "path", knowle datasets.append(dataset.to_json()) if llm is None: - llm = Assistant.LLM(self, {"model_name": "deepseek-chat", + llm = Assistant.LLM(self, {"model_name": "None", "temperature": 0.1, "top_p": 0.3, "presence_penalty": 0.4, From 37705914045740979b20825928fc099d69ef6d00 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Thu, 12 Sep 2024 14:17:26 +0800 Subject: [PATCH 04/15] Update sdk/python/ragflow/ragflow.py --- sdk/python/ragflow/ragflow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index 57171d5127..8e35ad40d8 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -87,7 +87,7 @@ def create_assistant(self, name: str = "assistant", avatar: str = "path", knowle datasets.append(dataset.to_json()) if llm is None: - llm = Assistant.LLM(self, {"model_name": "None", + llm = Assistant.LLM(self, {"model_name": None, "temperature": 0.1, "top_p": 0.3, "presence_penalty": 0.4, From 78592a6adf021d7989a13adbac34e0ca9f90f1c3 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Thu, 12 Sep 2024 14:18:02 +0800 Subject: [PATCH 05/15] Update sdk/python/ragflow/ragflow.py --- sdk/python/ragflow/ragflow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index 8e35ad40d8..c89b83283b 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -30,7 +30,7 @@ def __init__(self, user_key, base_url, version='v1'): self.api_url = f"{base_url}/api/{version}" self.authorization_header = {"Authorization": "{} {}".format("Bearer", self.user_key)} - def post(self, path, param,stream=False): + def post(self, path, param, stream=False): res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header,stream=stream) return res From f10625307d1c314341612a6b0c6d46cfcd58d9ef Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Thu, 12 Sep 2024 14:18:34 +0800 Subject: [PATCH 06/15] Update sdk/python/ragflow/ragflow.py --- sdk/python/ragflow/ragflow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index c89b83283b..5a5ee1a3c3 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -31,7 +31,7 @@ def __init__(self, user_key, base_url, version='v1'): self.authorization_header = {"Authorization": "{} {}".format("Bearer", self.user_key)} def post(self, path, param, stream=False): - res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header,stream=stream) + res = requests.post(url=self.api_url + path, json=param, headers=self.authorization_header, stream=stream) return res def get(self, path, params=None): From a27391397429e1dcb6f617e6b707413f3fb58df7 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Thu, 12 Sep 2024 14:18:57 +0800 Subject: [PATCH 07/15] Update sdk/python/ragflow/modules/base.py --- sdk/python/ragflow/modules/base.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sdk/python/ragflow/modules/base.py b/sdk/python/ragflow/modules/base.py index 547c253a65..20422a60ff 100644 --- a/sdk/python/ragflow/modules/base.py +++ b/sdk/python/ragflow/modules/base.py @@ -19,7 +19,8 @@ def to_json(self): return pr def post(self, path, param, stream=False): - res = self.rag.post(path, param,stream=stream) + res = self.rag.post(path, param, stream=stream) + return res def get(self, path, params): From 8f005794144b96fee50fa169c31da4f078be1226 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Thu, 12 Sep 2024 14:19:20 +0800 Subject: [PATCH 08/15] Update sdk/python/ragflow/modules/base.py --- sdk/python/ragflow/modules/base.py | 1 - 1 file changed, 1 deletion(-) diff --git a/sdk/python/ragflow/modules/base.py b/sdk/python/ragflow/modules/base.py index 20422a60ff..0979377781 100644 --- a/sdk/python/ragflow/modules/base.py +++ b/sdk/python/ragflow/modules/base.py @@ -20,7 +20,6 @@ def to_json(self): def post(self, path, param, stream=False): res = self.rag.post(path, param, stream=stream) - return res def get(self, path, params): From f5bc3af8aee5bd9c49eacb926bc5714799bce646 Mon Sep 17 00:00:00 2001 From: JobSmithManipulation <143315462+JobSmithManipulation@users.noreply.github.com> Date: Fri, 13 Sep 2024 18:39:29 +0800 Subject: [PATCH 09/15] update sdk document --- api/apps/sdk/doc.py | 398 +++++++++++++++++++++++-- sdk/python/ragflow/__init__.py | 3 +- sdk/python/ragflow/modules/chunk.py | 34 +++ sdk/python/ragflow/modules/document.py | 125 +++++++- sdk/python/ragflow/ragflow.py | 47 +++ sdk/python/test/t_document.py | 131 +++++++- sdk/python/test/test_data/ai.pdf | Bin 0 -> 965160 bytes sdk/python/test/test_data/ai1.pdf | Bin 0 -> 965160 bytes sdk/python/test/test_data/ai2.pdf | Bin 0 -> 965160 bytes sdk/python/test/test_data/ai3.pdf | Bin 0 -> 965160 bytes sdk/python/test/test_data/story.txt | 8 + 11 files changed, 715 insertions(+), 31 deletions(-) create mode 100644 sdk/python/ragflow/modules/chunk.py create mode 100644 sdk/python/test/test_data/ai.pdf create mode 100644 sdk/python/test/test_data/ai1.pdf create mode 100644 sdk/python/test/test_data/ai2.pdf create mode 100644 sdk/python/test/test_data/ai3.pdf create mode 100644 sdk/python/test/test_data/story.txt diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py index 8ec10592fc..ecade3c3df 100644 --- a/api/apps/sdk/doc.py +++ b/api/apps/sdk/doc.py @@ -1,19 +1,63 @@ -from io import BytesIO +import pathlib +import re +import datetime +import json +import traceback + +from flask import request +from flask_login import login_required, current_user +from elasticsearch_dsl import Q -from flask import request,send_file -from api.utils.api_utils import get_json_result, construct_json_result, server_error_response +from rag.app.qa import rmPrefix, beAdoc +from rag.nlp import search, rag_tokenizer, keyword_extraction +from rag.utils.es_conn import ELASTICSEARCH +from rag.utils import rmSpace +from api.db import LLMType, ParserType +from api.db.services.knowledgebase_service import KnowledgebaseService +from api.db.services.llm_service import TenantLLMService +from api.db.services.user_service import UserTenantService +from api.utils.api_utils import server_error_response, get_data_error_result, validate_request +from api.db.services.document_service import DocumentService +from api.settings import RetCode, retrievaler, kg_retrievaler +from api.utils.api_utils import get_json_result +import hashlib +import re from api.utils.api_utils import get_json_result, token_required, get_data_error_result -from api.db import FileType, ParserType, FileSource, TaskStatus + +from api.db.db_models import Task, File + +from api.db.services.task_service import TaskService, queue_tasks +from api.db.services.user_service import TenantService, UserTenantService + +from api.utils.api_utils import server_error_response, get_data_error_result, validate_request + +from api.utils.api_utils import get_json_result + +from functools import partial +from io import BytesIO + +from elasticsearch_dsl import Q +from flask import request, send_file +from flask_login import login_required + +from api.db import FileSource, TaskStatus, FileType from api.db.db_models import File from api.db.services.document_service import DocumentService from api.db.services.file2document_service import File2DocumentService from api.db.services.file_service import FileService from api.db.services.knowledgebase_service import KnowledgebaseService -from api.db.services.user_service import TenantService, UserTenantService -from api.settings import RetCode +from api.settings import RetCode, retrievaler from api.utils.api_utils import construct_json_result, construct_error_response +from rag.app import book, laws, manual, naive, one, paper, presentation, qa, resume, table, picture, audio, email +from rag.nlp import search +from rag.utils import rmSpace +from rag.utils.es_conn import ELASTICSEARCH from rag.utils.storage_factory import STORAGE_IMPL +MAXIMUM_OF_UPLOADING_FILES = 256 + +MAXIMUM_OF_UPLOADING_FILES = 256 + @manager.route('/dataset//documents/upload', methods=['POST']) @token_required @@ -54,34 +98,169 @@ def docinfos(tenant_id): @manager.route('/save', methods=['POST']) @token_required def save_doc(tenant_id): - req = request.json # Expecting JSON input + req = request.json + #get doc by id or name + doc_id = None if "id" in req: doc_id = req["id"] - if "name" in req: + elif "name" in req: doc_name = req["name"] doc_id = DocumentService.get_doc_id_by_doc_name(doc_name) - data = request.json - # Call the update method with the provided id and data + if not doc_id: + return get_json_result(retcode=400, retmsg="Document ID or name is required") + e, doc = DocumentService.get_by_id(doc_id) + if not e: + return get_data_error_result(retmsg="Document not found!") + #other value can't be changed + if "chunk_num" in req: + if req["chunk_num"] != doc.chunk_num: + return get_data_error_result( + retmsg="Can't change chunk_count.") + if "progress" in req: + if req['progress'] != doc.progress: + return get_data_error_result( + retmsg="Can't change progress.") + #change name or parse_method + if "name" in req and req["name"] != doc.name: + try: + if pathlib.Path(req["name"].lower()).suffix != pathlib.Path( + doc.name.lower()).suffix: + return get_json_result( + data=False, + retmsg="The extension of file can't be changed", + retcode=RetCode.ARGUMENT_ERROR) + for d in DocumentService.query(name=req["name"], kb_id=doc.kb_id): + if d.name == req["name"]: + return get_data_error_result( + retmsg="Duplicated document name in the same knowledgebase.") + + if not DocumentService.update_by_id( + doc_id, {"name": req["name"]}): + return get_data_error_result( + retmsg="Database error (Document rename)!") + + informs = File2DocumentService.get_by_document_id(doc_id) + if informs: + e, file = FileService.get_by_id(informs[0].file_id) + FileService.update_by_id(file.id, {"name": req["name"]}) + except Exception as e: + return server_error_response(e) + if "parser_id" in req: + try: + if doc.parser_id.lower() == req["parser_id"].lower(): + if "parser_config" in req: + if req["parser_config"] == doc.parser_config: + return get_json_result(data=True) + else: + return get_json_result(data=True) + + if doc.type == FileType.VISUAL or re.search( + r"\.(ppt|pptx|pages)$", doc.name): + return get_data_error_result(retmsg="Not supported yet!") + + e = DocumentService.update_by_id(doc.id, + {"parser_id": req["parser_id"], "progress": 0, "progress_msg": "", + "run": TaskStatus.UNSTART.value}) + if not e: + return get_data_error_result(retmsg="Document not found!") + if "parser_config" in req: + DocumentService.update_parser_config(doc.id, req["parser_config"]) + if doc.token_num > 0: + e = DocumentService.increment_chunk_num(doc.id, doc.kb_id, doc.token_num * -1, doc.chunk_num * -1, + doc.process_duation * -1) + if not e: + return get_data_error_result(retmsg="Document not found!") + tenant_id = DocumentService.get_tenant_id(req["doc_id"]) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + ELASTICSEARCH.deleteByQuery( + Q("match", doc_id=doc.id), idxnm=search.index_name(tenant_id)) + except Exception as e: + return server_error_response(e) + return get_json_result(data=True) + + + +@manager.route('/change_parser', methods=['POST']) +@token_required +def change_parser(tenant_id): + req = request.json + try: + e, doc = DocumentService.get_by_id(req["doc_id"]) + if not e: + return get_data_error_result(retmsg="Document not found!") + if doc.parser_id.lower() == req["parser_id"].lower(): + if "parser_config" in req: + if req["parser_config"] == doc.parser_config: + return get_json_result(data=True) + else: + return get_json_result(data=True) + + if doc.type == FileType.VISUAL or re.search( + r"\.(ppt|pptx|pages)$", doc.name): + return get_data_error_result(retmsg="Not supported yet!") + + e = DocumentService.update_by_id(doc.id, + {"parser_id": req["parser_id"], "progress": 0, "progress_msg": "", + "run": TaskStatus.UNSTART.value}) + if not e: + return get_data_error_result(retmsg="Document not found!") + if "parser_config" in req: + DocumentService.update_parser_config(doc.id, req["parser_config"]) + if doc.token_num > 0: + e = DocumentService.increment_chunk_num(doc.id, doc.kb_id, doc.token_num * -1, doc.chunk_num * -1, + doc.process_duation * -1) + if not e: + return get_data_error_result(retmsg="Document not found!") + tenant_id = DocumentService.get_tenant_id(req["doc_id"]) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + ELASTICSEARCH.deleteByQuery( + Q("match", doc_id=doc.id), idxnm=search.index_name(tenant_id)) + + return get_json_result(data=True) + except Exception as e: + return server_error_response(e) + +@manager.route('/rename', methods=['POST']) +@login_required +@validate_request("doc_id", "name") +def rename(): + req = request.json try: - num = DocumentService.update_by_id(doc_id, data) - if num > 0: - return get_json_result(retmsg="success", data={"updated_count": num}) - else: - return get_json_result(retcode=404, retmsg="Document not found") + e, doc = DocumentService.get_by_id(req["doc_id"]) + if not e: + return get_data_error_result(retmsg="Document not found!") + if pathlib.Path(req["name"].lower()).suffix != pathlib.Path( + doc.name.lower()).suffix: + return get_json_result( + data=False, + retmsg="The extension of file can't be changed", + retcode=RetCode.ARGUMENT_ERROR) + for d in DocumentService.query(name=req["name"], kb_id=doc.kb_id): + if d.name == req["name"]: + return get_data_error_result( + retmsg="Duplicated document name in the same knowledgebase.") + + if not DocumentService.update_by_id( + req["doc_id"], {"name": req["name"]}): + return get_data_error_result( + retmsg="Database error (Document rename)!") + + informs = File2DocumentService.get_by_document_id(req["doc_id"]) + if informs: + e, file = FileService.get_by_id(informs[0].file_id) + FileService.update_by_id(file.id, {"name": req["name"]}) + + return get_json_result(data=True) except Exception as e: - return get_json_result(retmsg=f"Error occurred: {str(e)}") + return server_error_response(e) -@manager.route("//documents/", methods=["GET"]) +@manager.route("/", methods=["GET"]) @token_required def download_document(dataset_id, document_id): try: - # Check whether there is this dataset - exist, _ = KnowledgebaseService.get_by_id(dataset_id) - if not exist: - return construct_json_result(code=RetCode.DATA_ERROR, - message=f"This dataset '{dataset_id}' cannot be found!") - # Check whether there is this document exist, document = DocumentService.get_by_id(document_id) if not exist: @@ -108,9 +287,10 @@ def download_document(dataset_id, document_id): except Exception as e: return construct_error_response(e) + @manager.route('/dataset//documents', methods=['GET']) @token_required -def list_docs(dataset_id,tenant_id): +def list_docs(dataset_id, tenant_id): kb_id = request.args.get("kb_id") if not kb_id: return get_json_result( @@ -177,4 +357,172 @@ def rm(tenant_id): if errors: return get_json_result(data=False, retmsg=errors, retcode=RetCode.SERVER_ERROR) - return get_json_result(data=True,retmsg="success") + return get_json_result(data=True, retmsg="success") + +@manager.route("//status", methods=["GET"]) +@token_required +def show_parsing_status(tenant_id, document_id): + try: + # valid document + exist, _ = DocumentService.get_by_id(document_id) + if not exist: + return construct_json_result(code=RetCode.DATA_ERROR, + message=f"This document: '{document_id}' is not a valid document.") + + _, doc = DocumentService.get_by_id(document_id) # get doc object + doc_attributes = doc.to_dict() + + return construct_json_result( + data={"progress": doc_attributes["progress"], "status": TaskStatus(doc_attributes["status"]).name}, + code=RetCode.SUCCESS + ) + except Exception as e: + return construct_error_response(e) + + + +@manager.route('/run', methods=['POST']) +@token_required +def run(tenant_id): + req = request.json + try: + for id in req["doc_ids"]: + info = {"run": str(req["run"]), "progress": 0} + if str(req["run"]) == TaskStatus.RUNNING.value: + info["progress_msg"] = "" + info["chunk_num"] = 0 + info["token_num"] = 0 + DocumentService.update_by_id(id, info) + # if str(req["run"]) == TaskStatus.CANCEL.value: + tenant_id = DocumentService.get_tenant_id(id) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + ELASTICSEARCH.deleteByQuery( + Q("match", doc_id=id), idxnm=search.index_name(tenant_id)) + + if str(req["run"]) == TaskStatus.RUNNING.value: + TaskService.filter_delete([Task.doc_id == id]) + e, doc = DocumentService.get_by_id(id) + doc = doc.to_dict() + doc["tenant_id"] = tenant_id + bucket, name = File2DocumentService.get_minio_address(doc_id=doc["id"]) + queue_tasks(doc, bucket, name) + + return get_json_result(data=True) + except Exception as e: + return server_error_response(e) + + +@manager.route('/chunk/list', methods=['POST']) +@token_required +@validate_request("doc_id") +def list_chunk(tenant_id): + req = request.json + doc_id = req["doc_id"] + page = int(req.get("page", 1)) + size = int(req.get("size", 30)) + question = req.get("keywords", "") + try: + tenant_id = DocumentService.get_tenant_id(req["doc_id"]) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + e, doc = DocumentService.get_by_id(doc_id) + if not e: + return get_data_error_result(retmsg="Document not found!") + query = { + "doc_ids": [doc_id], "page": page, "size": size, "question": question, "sort": True + } + if "available_int" in req: + query["available_int"] = int(req["available_int"]) + sres = retrievaler.search(query, search.index_name(tenant_id), highlight=True) + res = {"total": sres.total, "chunks": [], "doc": doc.to_dict()} + for id in sres.ids: + d = { + "chunk_id": id, + "content_with_weight": rmSpace(sres.highlight[id]) if question and id in sres.highlight else sres.field[ + id].get( + "content_with_weight", ""), + "doc_id": sres.field[id]["doc_id"], + "docnm_kwd": sres.field[id]["docnm_kwd"], + "important_kwd": sres.field[id].get("important_kwd", []), + "img_id": sres.field[id].get("img_id", ""), + "available_int": sres.field[id].get("available_int", 1), + "positions": sres.field[id].get("position_int", "").split("\t") + } + if len(d["positions"]) % 5 == 0: + poss = [] + for i in range(0, len(d["positions"]), 5): + poss.append([float(d["positions"][i]), float(d["positions"][i + 1]), float(d["positions"][i + 2]), + float(d["positions"][i + 3]), float(d["positions"][i + 4])]) + d["positions"] = poss + res["chunks"].append(d) + return get_json_result(data=res) + except Exception as e: + if str(e).find("not_found") > 0: + return get_json_result(data=False, retmsg=f'No chunk found!', + retcode=RetCode.DATA_ERROR) + return server_error_response(e) + + +@manager.route('/chunk/create', methods=['POST']) +@token_required +@validate_request("doc_id", "content_with_weight") +def create(tenant_id): + req = request.json + md5 = hashlib.md5() + md5.update((req["content_with_weight"] + req["doc_id"]).encode("utf-8")) + chunck_id = md5.hexdigest() + d = {"id": chunck_id, "content_ltks": rag_tokenizer.tokenize(req["content_with_weight"]), + "content_with_weight": req["content_with_weight"]} + d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"]) + d["important_kwd"] = req.get("important_kwd", []) + d["important_tks"] = rag_tokenizer.tokenize(" ".join(req.get("important_kwd", []))) + d["create_time"] = str(datetime.datetime.now()).replace("T", " ")[:19] + d["create_timestamp_flt"] = datetime.datetime.now().timestamp() + + try: + e, doc = DocumentService.get_by_id(req["doc_id"]) + if not e: + return get_data_error_result(retmsg="Document not found!") + d["kb_id"] = [doc.kb_id] + d["docnm_kwd"] = doc.name + d["doc_id"] = doc.id + + tenant_id = DocumentService.get_tenant_id(req["doc_id"]) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + + embd_id = DocumentService.get_embd_id(req["doc_id"]) + embd_mdl = TenantLLMService.model_instance( + tenant_id, LLMType.EMBEDDING.value, embd_id) + + v, c = embd_mdl.encode([doc.name, req["content_with_weight"]]) + v = 0.1 * v[0] + 0.9 * v[1] + d["q_%d_vec" % len(v)] = v.tolist() + ELASTICSEARCH.upsert([d], search.index_name(tenant_id)) + + DocumentService.increment_chunk_num( + doc.id, doc.kb_id, c, 1, 0) + return get_json_result(data={"chunk": d}) + # return get_json_result(data={"chunk_id": chunck_id}) + except Exception as e: + return server_error_response(e) + +@manager.route('/chunk/rm', methods=['POST']) +@token_required +@validate_request("chunk_ids", "doc_id") +def rm(): + req = request.json + try: + if not ELASTICSEARCH.deleteByQuery( + Q("ids", values=req["chunk_ids"]), search.index_name(current_user.id)): + return get_data_error_result(retmsg="Index updating failure") + e, doc = DocumentService.get_by_id(req["doc_id"]) + if not e: + return get_data_error_result(retmsg="Document not found!") + deleted_chunk_ids = req["chunk_ids"] + chunk_number = len(deleted_chunk_ids) + DocumentService.decrement_chunk_num(doc.id, doc.kb_id, 1, chunk_number, 0) + return get_json_result(data=True) + except Exception as e: + return server_error_response(e) \ No newline at end of file diff --git a/sdk/python/ragflow/__init__.py b/sdk/python/ragflow/__init__.py index 7dc296fd00..3f6e4200f7 100644 --- a/sdk/python/ragflow/__init__.py +++ b/sdk/python/ragflow/__init__.py @@ -6,4 +6,5 @@ from .modules.dataset import DataSet from .modules.assistant import Assistant from .modules.session import Session -from .modules.document import Document \ No newline at end of file +from .modules.document import Document +from .modules.chunk import Chunk \ No newline at end of file diff --git a/sdk/python/ragflow/modules/chunk.py b/sdk/python/ragflow/modules/chunk.py new file mode 100644 index 0000000000..7bf2bf9be3 --- /dev/null +++ b/sdk/python/ragflow/modules/chunk.py @@ -0,0 +1,34 @@ +from .base import Base + + +class Chunk(Base): + def __init__(self, rag, res_dict): + # 初始化类的属性 + self.id = "" + self.content_with_weight = "" + self.content_ltks = [] + self.content_sm_ltks = [] + self.important_kwd = [] + self.important_tks = [] + self.create_time = "" + self.create_timestamp_flt = 0.0 + self.kb_id = None + self.docnm_kwd = "" + self.doc_id = "" + self.q_vec = [] + self.status = "1" + for k, v in res_dict.items(): + if hasattr(self, k): + setattr(self, k, v) + + super().__init__(rag, res_dict) + def delete(self) -> bool: + """ + Delete the chunk in the document. + """ + res = self.rm('/doc/chunk/rm', + {"doc_id": [self.id],""}) + res = res.json() + if res.get("retmsg") == "success": + return True + raise Exception(res["retmsg"]) \ No newline at end of file diff --git a/sdk/python/ragflow/modules/document.py b/sdk/python/ragflow/modules/document.py index 55aab0278c..6bcd288395 100644 --- a/sdk/python/ragflow/modules/document.py +++ b/sdk/python/ragflow/modules/document.py @@ -1,6 +1,7 @@ +import time from .base import Base - +from .chunk import Chunk class Document(Base): @@ -21,6 +22,8 @@ def __init__(self, rag, res_dict): 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) @@ -61,7 +64,7 @@ def download(self) -> bytes: :return: The downloaded document content in bytes. """ # Construct the URL for the API request using the document ID and knowledge base ID - res = self.get(f"/doc/{self.kb_id}/documents/{self.id}", + res = self.get(f"/doc/{self.id}", {"headers": self.rag.authorization_header, "id": self.id, "name": self.name, "stream": True}) # Check the response status code to ensure the request was successful @@ -73,3 +76,121 @@ def download(self) -> bytes: raise Exception( f"Failed to download document. Server responded with: {res.status_code}, {res.text}" ) + + def async_parse(self): + """ + Initiate document parsing asynchronously without waiting for completion. + """ + try: + # Construct request data including document ID and run status (assuming 1 means to run) + data = {"doc_ids": [self.id], "run": 1} + + # Send a POST request to the specified parsing status endpoint to start parsing + res = self.post(f'/doc/run', data) + + # Check the server response status code + if res.status_code != 200: + raise Exception(f"Failed to start async parsing: {res.text}") + + print("Async parsing started successfully.") + + except Exception as e: + # Catch and handle exceptions + print(f"Error occurred during async parsing: {str(e)}") + raise + + import time + + def join(self, interval=5, timeout=3600): + """ + Wait for the asynchronous parsing to complete and yield parsing progress periodically. + + :param interval: The time interval (in seconds) for progress reports. + :param timeout: The timeout (in seconds) for the parsing operation. + :return: An iterator yielding parsing progress and messages. + """ + start_time = time.time() + while time.time() - start_time < timeout: + # Check the parsing status + res = self.get(f'/doc/{self.id}/status', {"doc_ids": [self.id]}) + res_data = res.json() + data = res_data.get("data", []) + + # Retrieve progress and status message + progress = data.get("progress", 0) + progress_msg = data.get("status", "") + + yield progress, progress_msg # Yield progress and message + + if progress == 100: # Parsing completed + break + + time.sleep(interval) + + def cancel(self): + """ + Cancel the parsing task for the document. + """ + try: + # Construct request data, including document ID and action to cancel (assuming 2 means cancel) + data = {"doc_ids": [self.id], "run": 2} + + # Send a POST request to the specified parsing status endpoint to cancel parsing + res = self.post(f'/doc/run', data) + + # Check the server response status code + if res.status_code != 200: + print("Failed to cancel parsing. Server response:", res.text) + else: + print("Parsing cancelled successfully.") + + except Exception as e: + print(f"Error occurred during async parsing cancellation: {str(e)}") + raise + + def list_chunks(self, page=1, offset=0, limit=12,size=30, keywords="", available_int=None): + """ + List all chunks associated with this document by calling the external API. + + Args: + page (int): The page number to retrieve (default 1). + size (int): The number of chunks per page (default 30). + keywords (str): Keywords for searching specific chunks (default ""). + available_int (int): Filter for available chunks (optional). + + Returns: + list: A list of chunks returned from the API. + """ + data = { + "doc_id": self.id, + "page": page, + "size": size, + "keywords": keywords, + "offset":offset, + "limit":limit + } + + if available_int is not None: + data["available_int"] = available_int + + res = self.post(f'/doc/chunk/list', data) + if res.status_code == 200: + res_data = res.json() + if res_data.get("retmsg") == "success": + chunks = res_data["data"]["chunks"] + self.chunks = chunks # Store the chunks in the document instance + return chunks + else: + raise Exception(f"Error fetching chunks: {res_data.get('retmsg')}") + else: + raise Exception(f"API request failed with status code {res.status_code}") + + def add_chunk(self, content: str): + res = self.post('/doc/chunk/create', {"doc_id": self.id, "content_with_weight":content}) + + # 假设返回的 response 包含 chunk 的信息 + if res.status_code == 200: + chunk_data = res.json() + return Chunk(self.rag,chunk_data) # 假设有一个 Chunk 类来处理 chunk 对象 + else: + raise Exception(f"Failed to add chunk: {res.status_code} {res.text}") diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index 5a5ee1a3c3..45f02cfa78 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -171,3 +171,50 @@ def get_document(self, id: str = None, name: str = None) -> Document: return Document(self, res['data']) raise Exception(res["retmsg"]) + def async_parse_documents(self, doc_ids): + """ + Asynchronously start parsing multiple documents without waiting for completion. + + :param doc_ids: A list containing multiple document IDs. + """ + try: + if not doc_ids or not isinstance(doc_ids, list): + raise ValueError("doc_ids must be a non-empty list of document IDs") + + data = {"doc_ids": doc_ids, "run": 1} + + res = self.post(f'/doc/run', data) + + if res.status_code != 200: + raise Exception(f"Failed to start async parsing for documents: {res.text}") + + print(f"Async parsing started successfully for documents: {doc_ids}") + + except Exception as e: + print(f"Error occurred during async parsing for documents: {str(e)}") + raise + + def async_cancel_parse_documents(self, doc_ids): + """ + Cancel the asynchronous parsing of multiple documents. + + :param doc_ids: A list containing multiple document IDs. + """ + try: + if not doc_ids or not isinstance(doc_ids, list): + raise ValueError("doc_ids must be a non-empty list of document IDs") + data = {"doc_ids": doc_ids, "run": 2} + + + res = self.post(f'/doc/run', data) + + if res.status_code != 200: + raise Exception(f"Failed to cancel async parsing for documents: {res.text}") + + print(f"Async parsing canceled successfully for documents: {doc_ids}") + + except Exception as e: + print(f"Error occurred during canceling parsing for documents: {str(e)}") + raise + + diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py index 4a9ce30fab..0e0fb49765 100644 --- a/sdk/python/test/t_document.py +++ b/sdk/python/test/t_document.py @@ -1,4 +1,4 @@ -from ragflow import RAGFlow, DataSet, Document +from ragflow import RAGFlow, DataSet, Document, Chunk from common import API_KEY, HOST_ADDRESS from test_sdkbase import TestSdk @@ -46,6 +46,7 @@ def test_update_document_with_success(self): doc = rag.get_document(name="TestDocument.txt") if isinstance(doc, Document): doc.parser_method = "manual" + doc.name = "manual.txt" res = doc.save() assert res is True, f"Failed to update document, error: {res}" else: @@ -126,8 +127,8 @@ def test_delete_documents_in_dataset_with_success(self): blob1 = b"Sample document content for ingestion test333." name2 = "Test Document444.txt" blob2 = b"Sample document content for ingestion test444." - name3='test.txt' - path='test_data/test.txt' + name3 = 'test.txt' + path = 'test_data/test.txt' rag.create_document(ds, name=name3, blob=open(path, "rb").read()) rag.create_document(ds, name=name1, blob=blob1) rag.create_document(ds, name=name2, blob=blob2) @@ -138,7 +139,131 @@ def test_delete_documents_in_dataset_with_success(self): remaining_docs = ds.list_docs(keywords="rag", offset=0, limit=12) assert len(remaining_docs) == 0, "Documents were not properly deleted." + def test_parse_and_cancel_document(self): + # Initialize RAGFlow with API key and host address + rag = RAGFlow(API_KEY, HOST_ADDRESS) + + # Create a dataset with a specific name + ds = rag.create_dataset(name="God4") + + # Define the document name and path + name3 = 'ai.pdf' + path = 'test_data/ai.pdf' + + # Create a document in the dataset using the file path + rag.create_document(ds, name=name3, blob=open(path, "rb").read()) + + # Retrieve the document by name + doc = rag.get_document(name="ai.pdf") + + # Initiate asynchronous parsing + doc.async_parse() + + # Print message to confirm asynchronous parsing has been initiated + print("Async parsing initiated") + + # Use join to wait for parsing to complete and get progress updates + for progress, msg in doc.join(interval=5, timeout=10): + print(progress, msg) + # Assert that the progress is within the valid range (0 to 100) + assert 0 <= progress <= 100, f"Invalid progress: {progress}" + # Assert that the message is not empty + assert msg, "Message should not be empty" + # Test cancelling the parsing operation + doc.cancel() + # Print message to confirm parsing has been cancelled successfully + print("Parsing cancelled successfully") + + def test_bulk_parse_and_cancel_documents(self): + # Initialize RAGFlow with API key and host address + rag = RAGFlow(API_KEY, HOST_ADDRESS) + + # Create a dataset + ds = rag.create_dataset(name="God5") + assert ds is not None, "Dataset creation failed" + assert ds.name == "God5", "Dataset name does not match" + + # Prepare a list of file names and paths + documents = [ + {'name': 'ai1.pdf', 'path': 'test_data/ai1.pdf'}, + {'name': 'ai2.pdf', 'path': 'test_data/ai2.pdf'}, + {'name': 'ai3.pdf', 'path': 'test_data/ai3.pdf'} + ] + + # Create documents in bulk + for doc_info in documents: + with open(doc_info['path'], "rb") as file: + created_doc = rag.create_document(ds, name=doc_info['name'], blob=file.read()) + assert created_doc is not None, f"Failed to create document {doc_info['name']}" + # Retrieve document objects in bulk + docs = [rag.get_document(name=doc_info['name']) for doc_info in documents] + ids = [doc.id for doc in docs] + assert len(docs) == len(documents), "Mismatch between created documents and fetched documents" + + # Initiate asynchronous parsing for all documents + rag.async_parse_documents(ids) + print("Async bulk parsing initiated") + + # Wait for all documents to finish parsing and check progress + for doc in docs: + for progress, msg in doc.join(interval=5, timeout=10): + print(f"{doc.name}: Progress: {progress}, Message: {msg}") + + # Assert that progress is within the valid range + assert 0 <= progress <= 100, f"Invalid progress: {progress} for document {doc.name}" + + # Assert that the message is not empty + assert msg, f"Message should not be empty for document {doc.name}" + + # If progress reaches 100%, assert that parsing is completed successfully + if progress == 100: + assert "completed" in msg.lower(), f"Document {doc.name} did not complete successfully" + + # Cancel parsing for all documents in bulk + cancel_result = rag.async_cancel_parse_documents(ids) + assert cancel_result is None or isinstance(cancel_result, type(None)), "Failed to cancel document parsing" + print("Async bulk parsing cancelled") + + def test_parse_document_and_chunk_list(self): + rag = RAGFlow(API_KEY, HOST_ADDRESS) + ds = rag.create_dataset(name="God7") + name='story.txt' + path = 'test_data/story.txt' + # name = "Test Document rag.txt" + # blob = " Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps.Sample document content for rag test66. rag wonderful apple os documents apps.Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps. Sample document content for rag test66. rag wonderful apple os documents apps." + rag.create_document(ds, name=name, blob=open(path, "rb").read()) + doc = rag.get_document(name=name) + doc.async_parse() + + # Wait for parsing to complete and get progress updates using join + for progress, msg in doc.join(interval=5, timeout=30): + print(progress, msg) + # Assert that progress is within 0 to 100 + assert 0 <= progress <= 100, f"Invalid progress: {progress}" + # Assert that the message is not empty + assert msg, "Message should not be empty" + + for c in doc.list_chunks(keywords="rag", offset=0, limit=12): + print(c) + assert c is not None, "Chunk is None" + assert "rag" in c['content_with_weight'].lower(), f"Keyword 'rag' not found in chunk content: {c.content}" + def test_add_chunk_to_chunk_list(self): + rag = RAGFlow(API_KEY, HOST_ADDRESS) + doc = rag.get_document(name='story.txt') + chunk = doc.add_chunk(content="assss") + assert chunk is not None, "Chunk is None" + assert isinstance(chunk, Chunk), "Chunk was not added to chunk list" + + def test_delete_chunk_of_chunk_list(self): + rag = RAGFlow(API_KEY, HOST_ADDRESS) + doc = rag.get_document(name='story.txt') + chunk = doc.add_chunk(content="assss") + assert chunk is not None, "Chunk is None" + assert isinstance(chunk, Chunk), "Chunk was not added to chunk list" + chunk_num_before=doc.chunk_num + chunk.delete() + assert doc.chunk_num == chunk_num_before-1, "Chunk was not deleted" diff --git a/sdk/python/test/test_data/ai.pdf b/sdk/python/test/test_data/ai.pdf new file mode 100644 index 0000000000000000000000000000000000000000..f9b0ad4f77434e117be8b9b07eff5ea6387bad04 GIT binary patch literal 965160 zcma&N1yoz#wl~_+LMiTATnZEj5WJKk!8N!S3j~MYUfe0}PzY|tX>q4mad(FzrMSaO z`#<-)=Z<&2cVEVsS$k<vL8??mc!GltGegob0@q4C@;s6PRdRd>qsq)ON;}m_kAT zc?(;J5zN8^VoJ>kkf#>l<>BPz04Py&@o@npsChYo-2D6iMQTnifEuEcn^%AvAWf}H z&BG@^&BM#7FD#4+u{Hg(7WKbC03o6ZKptXi?gXXgJI**PJ!!1;HKDndcjK%f9X z&D|aX&{Bbz0W@_vse#mgG~nn2gBaOhqCuC9jZF=43=NG94P~CjVjxq;2~dHmm5^iQ z_d85!wSJg!EKq`2*q_H{BpM#i7@kW|$C==1Eus%)VQM@+9YRU(Z$t-iB|Vktb)N8} zU*O}7=`&KTWSw=9%a8Ljc_1UYHn_XW&ces&q7D@=eiue7Cx2x*D9ZVJ`>U7E^!97tK(miiNhxbOOrABrcB8p(TM#UJ#aGo5vN72m7WokLGQBfag8$DY0&1LK&JaYzD?pr#OpTn3sJVInhMBUFIm8hWnE!C9h*2g^YA^`oZ!Gft zaY2=TB2XML$=c5RztIN)SO4vxqA({hJ2zb*FFQZCfB^NMmgf&zv2*bVQ1kHt5iGwx zK+GBfG5s@+i=Q2c5a3@853c|_A1{!akDrSj$jhaVz$;rPh^><&0zLi$24dhJ{8T}- zf58FK{@MEv{|EE_wA}w{|DFTE^ZnrwE5YpS|7^&?j#vOeJOcdeoE!qw{G1%@d>jao z6cBi5^#3^m0ip<55Gwk+BmgXq7b1-Ux&QHBgxso5Hvf){-CA;XufF3h>pn=XfW)*eZaMu#KQ@)- zPp`}A$vSaUKF?jk75EJ^t9cvwV`cSmm1;E|@X~)5+AZ>t1l6A@SZ>?dg=|M7}v@8*tD*uSdl~e%X~no7d}4 zFUFYw29Z4T2t--Q3-D%ly&g76NsYole$dw+_Qp6bUjMaRd7 zGey)q%V(+7;sD9L5YK1O3D}CMkM|J@jo=>H6|ImW@3)&!gz<+S3EzZHYxiAhf%b(= zuWUB?9MXa!e~0qg)nG+8e%pTy8pTJ7I};lIf|t;vQ`<)67Z;$B-W=xH6*wLJQ%3k( zm}jleYLC*0KzjX1w82<&cG#Ou$u9$tF(E5s3kl7}(gYQ0P; 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Lily had a heart as pure as the mountain's snowcaps and a spirit as adventurous as the winding trails that led to its peak. +One day, as Lily was gathering berries in the forest's edge, she stumbled upon an old, weathered map hidden beneath a fallen tree. The map was covered in strange symbols and a single, glowing word: "Treasure." Curiousity piqued, Lily decided to embark on a quest to uncover the mystery of the treasure. +With nothing more than her trusty basket of berries, a few pieces of bread, and the map, Lily set off into the unknown. As she climbed higher and higher into the mountains, the air grew crisp, and the scenery transformed into a breathtaking tapestry of lush greenery and sparkling streams. +Along the way, Lily encountered all sorts of challenges. She had to navigate treacherous rivers using fallen logs as bridges, climb steep cliffs with nothing but her agility and determination, and even outsmart a mischievous pack of foxes that tried to lead her astray. But through it all, Lily remained steadfast, her heart filled with hope and a sense of purpose. +Finally, after what seemed like an eternity of trekking, Lily arrived at a hidden valley. At its center stood an ancient tree, its roots entwined with glittering jewels and a chest made of pure gold. This, the map had revealed, was the source of the treasure. +But as Lily approached the chest, she realized that the true treasure was not the riches before her. It was the journey itself—the friendships she had forged with the animals she encountered, the strength she had gained from overcoming obstacles, and the sense of wonder and discovery that filled her heart. +With a smile on her face, Lily gently closed the chest and left it where it was, content in the knowledge that the greatest treasures in life are not always found in gold or jewels. She turned back towards home, her heart full of stories to share and a spirit that had been forever changed by her adventure. +And so, Lily returned to her village, a hero in her own right, with a tale that would be whispered around firesides for generations to come. \ No newline at end of file From 7a13d9d391fbb63a48e127012c927cf8e8b7cd6c Mon Sep 17 00:00:00 2001 From: JobSmithManipulation <143315462+JobSmithManipulation@users.noreply.github.com> Date: Sat, 14 Sep 2024 12:42:05 +0800 Subject: [PATCH 10/15] delete some pdf and add some txt for sdk test --- sdk/python/test/test_data/ai.pdf | Bin 965160 -> 0 bytes sdk/python/test/test_data/ai1.pdf | Bin 965160 -> 0 bytes sdk/python/test/test_data/ai2.pdf | Bin 965160 -> 0 bytes sdk/python/test/test_data/ai3.pdf | Bin 965160 -> 0 bytes sdk/python/test/test_data/ragflow_test.txt | 29 +++++++++++++++++++++ sdk/python/test/test_data/test.pdf | Bin 0 -> 57790 bytes sdk/python/test/test_data/test1.txt | 4 ++- sdk/python/test/test_data/test2.txt | 4 +++ sdk/python/test/test_data/test3.txt | 4 +++ 9 files changed, 40 insertions(+), 1 deletion(-) delete mode 100644 sdk/python/test/test_data/ai.pdf delete mode 100644 sdk/python/test/test_data/ai1.pdf delete mode 100644 sdk/python/test/test_data/ai2.pdf delete mode 100644 sdk/python/test/test_data/ai3.pdf create mode 100644 sdk/python/test/test_data/ragflow_test.txt create mode 100644 sdk/python/test/test_data/test.pdf create mode 100644 sdk/python/test/test_data/test2.txt create mode 100644 sdk/python/test/test_data/test3.txt diff --git a/sdk/python/test/test_data/ai.pdf b/sdk/python/test/test_data/ai.pdf deleted file mode 100644 index f9b0ad4f77434e117be8b9b07eff5ea6387bad04..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 965160 zcma&N1yoz#wl~_+LMiTATnZEj5WJKk!8N!S3j~MYUfe0}PzY|tX>q4mad(FzrMSaO z`#<-)=Z<&2cVEVsS$k<vL8??mc!GltGegob0@q4C@;s6PRdRd>qsq)ON;}m_kAT zc?(;J5zN8^VoJ>kkf#>l<>BPz04Py&@o@npsChYo-2D6iMQTnifEuEcn^%AvAWf}H z&BG@^&BM#7FD#4+u{Hg(7WKbC03o6ZKptXi?gXXgJI**PJ!!1;HKDndcjK%f9X z&D|aX&{Bbz0W@_vse#mgG~nn2gBaOhqCuC9jZF=43=NG94P~CjVjxq;2~dHmm5^iQ z_d85!wSJg!EKq`2*q_H{BpM#i7@kW|$C==1Eus%)VQM@+9YRU(Z$t-iB|Vktb)N8} zU*O}7=`&KTWSw=9%a8Ljc_1UYHn_XW&ces&q7D@=eiue7Cx2x*D9ZVJ`>U7E^!97tK(miiNhxbOOrABrcB8p(TM#UJ#aGo5vN72m7WokLGQBfag8$DY0&1LK&JaYzD?pr#OpTn3sJVInhMBUFIm8hWnE!C9h*2g^YA^`oZ!Gft zaY2=TB2XML$=c5RztIN)SO4vxqA({hJ2zb*FFQZCfB^NMmgf&zv2*bVQ1kHt5iGwx zK+GBfG5s@+i=Q2c5a3@853c|_A1{!akDrSj$jhaVz$;rPh^><&0zLi$24dhJ{8T}- zf58FK{@MEv{|EE_wA}w{|DFTE^ZnrwE5YpS|7^&?j#vOeJOcdeoE!qw{G1%@d>jao z6cBi5^#3^m0ip<55Gwk+BmgXq7b1-Ux&QHBgxso5Hvf){-CA;XufF3h>pn=XfW)*eZaMu#KQ@)- zPp`}A$vSaUKF?jk75EJ^t9cvwV`cSmm1;E|@X~)5+AZ>t1l6A@SZ>?dg=|M7}v@8*tD*uSdl~e%X~no7d}4 zFUFYw29Z4T2t--Q3-D%ly&g76NsYole$dw+_Qp6bUjMaRd7 zGey)q%V(+7;sD9L5YK1O3D}CMkM|J@jo=>H6|ImW@3)&!gz<+S3EzZHYxiAhf%b(= zuWUB?9MXa!e~0qg)nG+8e%pTy8pTJ7I};lIf|t;vQ`<)67Z;$B-W=xH6*wLJQ%3k( zm}jleYLC*0KzjX1w82<&cG#Ou$u9$tF(E5s3kl7}(gYQ0P; 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continue to push the boundaries of what machines can understand and generate from human language. Among these innovative advancements, RagFlow stands out as a pioneering approach that combines the power of retrieval and generation to revolutionize the way we interact with text-based data. + +What is RagFlow? + +RagFlow, short for Retrieval-Augmented Generation Flow, is a framework designed to enhance the capabilities of NLP models by integrating a retrieval component into the generation process. This approach leverages large-scale knowledge bases and text corpora to retrieve relevant information that can inform and enrich the output generated by the model. By doing so, RagFlow enables models to produce more accurate, informative, and contextually relevant responses, surpassing the limitations of traditional generation-only or retrieval-only systems. + +The Core Concept + +At its core, RagFlow operates on two fundamental principles: + +Retrieval: The first step involves identifying and retrieving relevant information from a vast collection of text sources. This can include web pages, academic articles, books, or any other form of unstructured text data. RagFlow employs advanced retrieval algorithms, often based on neural networks and vector similarity, to quickly and accurately locate the most pertinent information for a given query or task. +Generation: Once relevant information has been retrieved, RagFlow leverages generative NLP models to produce the final output. These models, such as transformers or GPT-like architectures, are trained to understand the context provided by the retrieved information and generate coherent, fluent text that incorporates this knowledge. The integration of retrieval and generation allows RagFlow to generate responses that are not only grammatically correct but also semantically rich and contextually appropriate. +Advantages of RagFlow + +Increased Accuracy and Relevance: By incorporating retrieved information, RagFlow can generate responses that are more accurate and relevant to the user's query or task. This is particularly useful in domains where factual accuracy and contextual relevance are crucial, such as question answering, summarization, and knowledge-intensive dialogue systems. +Scalability and Flexibility: RagFlow's reliance on large-scale text corpora and retrieval algorithms makes it highly scalable to new domains and datasets. As more data becomes available, the retrieval component can be easily updated to incorporate new information, while the generative model can be fine-tuned to adapt to specific tasks or user preferences. +Improved Efficiency: By leveraging pre-existing knowledge bases and retrieval algorithms, RagFlow can reduce the computational burden on the generative model. This allows the model to focus on generating high-quality output rather than searching for relevant information from scratch, resulting in improved efficiency and faster response times. +Applications and Future Directions + +RagFlow has the potential to transform a wide range of NLP applications, including but not limited to: + +Question Answering Systems: By retrieving relevant passages and generating precise answers, RagFlow can enhance the accuracy and comprehensiveness of question answering systems. +Document Summarization: By identifying key information and generating concise summaries, RagFlow can help users quickly grasp the main points of lengthy documents. +Creative Writing and Storytelling: By incorporating retrieved elements into the generation process, RagFlow can inspire and augment creative writing, enabling machines to produce more engaging and original stories. +As the field of NLP continues to evolve, RagFlow represents a promising direction for leveraging the power of both retrieval and generation. 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z2?+`D@#>nI-!?V~u(4Iu)Y#bB$HvDwSXgu#J!2~?oo#Kmk2i*=r=|>B`~+>+qaQz6 z*k5d^XlbeVRN7QnA|NEh#mKmNR+f(8j{of0GepEoFc_>}q@*M(>tJPdaC9{D(PZ~a zUij_pEi)|lzFE)N$jAtLk+PuA#e)Yy!qPN<4#)qgfx*N7aX-gOXb2fz}Sd z`yN_2y4ahz(f{nYxw{!m*P2f1-VP%@SYcLin2@!bwWEUsOzIj)C&9OUDKS$v&&{^EX&BV^p@?L`65+*o)-#4{?l<;%`TcE*UU3N6sg51A9KrT*B z7;R$#{L9A1$#(x%=KTlg@VAYfmFqqU{x7!s1K4oiC+<&ye#?1-4f4|np&ch932Y$2ha{giCWa0XwT~1hMelN?#cAu5& z*ZR2FS^ltbbMpLAmYeI(Hh6fsVD$X2_3^UYQ}n;sSXo$kf4^SXBBVdYfR&Z&el_H; zWm&oJ(`x@}W8=B!_vC``y689V!2mr{k1F?>plJYn~m*{ zIm8Z28}$3VWM}2({C)1Sv+{8NW1QVwOsws|E@=1BPu=QM)f^q&fSj=2!2%16 jHL`F7{)~V>ql~MYiHqCM7{kuW%f^dFO)aS`h4%jdjyoio literal 0 HcmV?d00001 From a8165d958fe77ab386443b94654009cb50147ca8 Mon Sep 17 00:00:00 2001 From: JobSmithManipulation <143315462+JobSmithManipulation@users.noreply.github.com> Date: Sat, 14 Sep 2024 17:42:11 +0800 Subject: [PATCH 12/15] update document sdk --- api/apps/sdk/doc.py | 203 +++++++++++++++++++++++-- sdk/python/ragflow/modules/chunk.py | 49 +++--- sdk/python/ragflow/modules/document.py | 24 +-- sdk/python/ragflow/ragflow.py | 62 +++++++- sdk/python/test/t_document.py | 55 +++++-- 5 files changed, 339 insertions(+), 54 deletions(-) diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py index ecade3c3df..3dc6f06a41 100644 --- a/api/apps/sdk/doc.py +++ b/api/apps/sdk/doc.py @@ -84,15 +84,28 @@ def upload(dataset_id, tenant_id): @token_required def docinfos(tenant_id): req = request.args + if "id" not in req and "name" not in req: + return get_data_error_result( + retmsg="Id or name should be provided") + doc_id=None if "id" in req: doc_id = req["id"] - e, doc = DocumentService.get_by_id(doc_id) - return get_json_result(data=doc.to_json()) if "name" in req: doc_name = req["name"] doc_id = DocumentService.get_doc_id_by_doc_name(doc_name) - e, doc = DocumentService.get_by_id(doc_id) - return get_json_result(data=doc.to_json()) + e, doc = DocumentService.get_by_id(doc_id) + #rename key's name + key_mapping = { + "chunk_num": "chunk_count", + "kb_id": "knowledgebase_id", + "token_num": "token_count", + } + renamed_doc = {} + for key, value in doc.to_dict().items(): + new_key = key_mapping.get(key, key) + renamed_doc[new_key] = value + + return get_json_result(data=renamed_doc) @manager.route('/save', methods=['POST']) @@ -259,7 +272,7 @@ def rename(): @manager.route("/", methods=["GET"]) @token_required -def download_document(dataset_id, document_id): +def download_document(dataset_id, document_id,tenant_id): try: # Check whether there is this document exist, document = DocumentService.get_by_id(document_id) @@ -313,7 +326,21 @@ def list_docs(dataset_id, tenant_id): try: docs, tol = DocumentService.get_by_kb_id( kb_id, page_number, items_per_page, orderby, desc, keywords) - return get_json_result(data={"total": tol, "docs": docs}) + + # rename key's name + renamed_doc_list = [] + for doc in docs: + key_mapping = { + "chunk_num": "chunk_count", + "kb_id": "knowledgebase_id", + "token_num": "token_count", + } + renamed_doc = {} + for key, value in doc.items(): + new_key = key_mapping.get(key, key) + renamed_doc[new_key] = value + renamed_doc_list.append(renamed_doc) + return get_json_result(data={"total": tol, "docs": renamed_doc_list}) except Exception as e: return server_error_response(e) @@ -436,6 +463,7 @@ def list_chunk(tenant_id): query["available_int"] = int(req["available_int"]) sres = retrievaler.search(query, search.index_name(tenant_id), highlight=True) res = {"total": sres.total, "chunks": [], "doc": doc.to_dict()} + origin_chunks=[] for id in sres.ids: d = { "chunk_id": id, @@ -455,7 +483,20 @@ def list_chunk(tenant_id): poss.append([float(d["positions"][i]), float(d["positions"][i + 1]), float(d["positions"][i + 2]), float(d["positions"][i + 3]), float(d["positions"][i + 4])]) d["positions"] = poss - res["chunks"].append(d) + origin_chunks.append(d) + ##rename keys + for chunk in origin_chunks: + key_mapping = { + "chunk_id": "id", + "content_with_weight": "content", + "doc_id": "document_id", + "important_kwd": "important_keywords", + } + renamed_chunk = {} + for key, value in chunk.items(): + new_key = key_mapping.get(key, key) + renamed_chunk[new_key] = value + res["chunks"].append(renamed_chunk) return get_json_result(data=res) except Exception as e: if str(e).find("not_found") > 0: @@ -471,8 +512,8 @@ def create(tenant_id): req = request.json md5 = hashlib.md5() md5.update((req["content_with_weight"] + req["doc_id"]).encode("utf-8")) - chunck_id = md5.hexdigest() - d = {"id": chunck_id, "content_ltks": rag_tokenizer.tokenize(req["content_with_weight"]), + chunk_id = md5.hexdigest() + d = {"id": chunk_id, "content_ltks": rag_tokenizer.tokenize(req["content_with_weight"]), "content_with_weight": req["content_with_weight"]} d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"]) d["important_kwd"] = req.get("important_kwd", []) @@ -503,19 +544,33 @@ def create(tenant_id): DocumentService.increment_chunk_num( doc.id, doc.kb_id, c, 1, 0) - return get_json_result(data={"chunk": d}) - # return get_json_result(data={"chunk_id": chunck_id}) + d["chunk_id"] = chunk_id + #rename keys + key_mapping = { + "chunk_id": "id", + "content_with_weight": "content", + "doc_id": "document_id", + "important_kwd": "important_keywords", + "kb_id":"knowledge_base_id", + } + renamed_chunk = {} + for key, value in d.items(): + new_key = key_mapping.get(key, key) + renamed_chunk[new_key] = value + + return get_json_result(data={"chunk": renamed_chunk}) + # return get_json_result(data={"chunk_id": chunk_id}) except Exception as e: return server_error_response(e) @manager.route('/chunk/rm', methods=['POST']) @token_required @validate_request("chunk_ids", "doc_id") -def rm(): +def rm_chunk(tenant_id): req = request.json try: if not ELASTICSEARCH.deleteByQuery( - Q("ids", values=req["chunk_ids"]), search.index_name(current_user.id)): + Q("ids", values=req["chunk_ids"]), search.index_name(tenant_id)): return get_data_error_result(retmsg="Index updating failure") e, doc = DocumentService.get_by_id(req["doc_id"]) if not e: @@ -525,4 +580,126 @@ def rm(): DocumentService.decrement_chunk_num(doc.id, doc.kb_id, 1, chunk_number, 0) return get_json_result(data=True) except Exception as e: + return server_error_response(e) + +@manager.route('/chunk/set', methods=['POST']) +@token_required +@validate_request("doc_id", "chunk_id", "content_with_weight", + "important_kwd") +def set(tenant_id): + req = request.json + d = { + "id": req["chunk_id"], + "content_with_weight": req["content_with_weight"]} + d["content_ltks"] = rag_tokenizer.tokenize(req["content_with_weight"]) + d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"]) + d["important_kwd"] = req["important_kwd"] + d["important_tks"] = rag_tokenizer.tokenize(" ".join(req["important_kwd"])) + if "available_int" in req: + d["available_int"] = req["available_int"] + + try: + tenant_id = DocumentService.get_tenant_id(req["doc_id"]) + if not tenant_id: + return get_data_error_result(retmsg="Tenant not found!") + + embd_id = DocumentService.get_embd_id(req["doc_id"]) + embd_mdl = TenantLLMService.model_instance( + tenant_id, LLMType.EMBEDDING.value, embd_id) + + e, doc = DocumentService.get_by_id(req["doc_id"]) + if not e: + return get_data_error_result(retmsg="Document not found!") + + if doc.parser_id == ParserType.QA: + arr = [ + t for t in re.split( + r"[\n\t]", + req["content_with_weight"]) if len(t) > 1] + if len(arr) != 2: + return get_data_error_result( + retmsg="Q&A must be separated by TAB/ENTER key.") + q, a = rmPrefix(arr[0]), rmPrefix(arr[1]) + d = beAdoc(d, arr[0], arr[1], not any( + [rag_tokenizer.is_chinese(t) for t in q + a])) + + v, c = embd_mdl.encode([doc.name, req["content_with_weight"]]) + v = 0.1 * v[0] + 0.9 * v[1] if doc.parser_id != ParserType.QA else v[1] + d["q_%d_vec" % len(v)] = v.tolist() + ELASTICSEARCH.upsert([d], search.index_name(tenant_id)) + return get_json_result(data=True) + except Exception as e: + return server_error_response(e) + +@manager.route('/retrieval_test', methods=['POST']) +@token_required +@validate_request("kb_id", "question") +def retrieval_test(tenant_id): + req = request.json + page = int(req.get("page", 1)) + size = int(req.get("size", 30)) + question = req["question"] + kb_id = req["kb_id"] + if isinstance(kb_id, str): kb_id = [kb_id] + doc_ids = req.get("doc_ids", []) + similarity_threshold = float(req.get("similarity_threshold", 0.2)) + vector_similarity_weight = float(req.get("vector_similarity_weight", 0.3)) + top = int(req.get("top_k", 1024)) + + try: + tenants = UserTenantService.query(user_id=tenant_id) + for kid in kb_id: + for tenant in tenants: + if KnowledgebaseService.query( + tenant_id=tenant.tenant_id, id=kid): + break + else: + return get_json_result( + data=False, retmsg=f'Only owner of knowledgebase authorized for this operation.', + retcode=RetCode.OPERATING_ERROR) + + e, kb = KnowledgebaseService.get_by_id(kb_id[0]) + if not e: + return get_data_error_result(retmsg="Knowledgebase not found!") + + embd_mdl = TenantLLMService.model_instance( + kb.tenant_id, LLMType.EMBEDDING.value, llm_name=kb.embd_id) + + rerank_mdl = None + if req.get("rerank_id"): + rerank_mdl = TenantLLMService.model_instance( + kb.tenant_id, LLMType.RERANK.value, llm_name=req["rerank_id"]) + + if req.get("keyword", False): + chat_mdl = TenantLLMService.model_instance(kb.tenant_id, LLMType.CHAT) + question += keyword_extraction(chat_mdl, question) + + retr = retrievaler if kb.parser_id != ParserType.KG else kg_retrievaler + ranks = retr.retrieval(question, embd_mdl, kb.tenant_id, kb_id, page, size, + similarity_threshold, vector_similarity_weight, top, + doc_ids, rerank_mdl=rerank_mdl, highlight=req.get("highlight")) + for c in ranks["chunks"]: + if "vector" in c: + del c["vector"] + + ##rename keys + renamed_chunks=[] + for chunk in ranks["chunks"]: + key_mapping = { + "chunk_id": "id", + "content_with_weight": "content", + "doc_id": "document_id", + "important_kwd": "important_keywords", + } + rename_chunk={} + for key, value in chunk.items(): + new_key = key_mapping.get(key, key) + rename_chunk[new_key] = value + renamed_chunks.append(rename_chunk) + ranks["chunks"] = renamed_chunks + return get_json_result(data=ranks) + except Exception as e: + if str(e).find("not_found") > 0: + return get_json_result(data=False, retmsg=f'No chunk found! Check the chunk status please!', + retcode=RetCode.DATA_ERROR) return server_error_response(e) \ No newline at end of file diff --git a/sdk/python/ragflow/modules/chunk.py b/sdk/python/ragflow/modules/chunk.py index 7bf2bf9be3..59abc09cf7 100644 --- a/sdk/python/ragflow/modules/chunk.py +++ b/sdk/python/ragflow/modules/chunk.py @@ -3,32 +3,47 @@ class Chunk(Base): def __init__(self, rag, res_dict): - # 初始化类的属性 self.id = "" - self.content_with_weight = "" - self.content_ltks = [] - self.content_sm_ltks = [] - self.important_kwd = [] - self.important_tks = [] + self.content = "" + self.important_keywords = [] self.create_time = "" self.create_timestamp_flt = 0.0 - self.kb_id = None - self.docnm_kwd = "" - self.doc_id = "" - self.q_vec = [] + self.knowledgebase_id = None + self.document_name = "" + self.document_id = "" self.status = "1" - for k, v in res_dict.items(): - if hasattr(self, k): - setattr(self, k, v) - + for k in list(res_dict.keys()): + if k not in self.__dict__: + res_dict.pop(k) super().__init__(rag, res_dict) + def delete(self) -> bool: """ Delete the chunk in the document. """ - res = self.rm('/doc/chunk/rm', - {"doc_id": [self.id],""}) + res = self.post('/doc/chunk/rm', + {"doc_id": self.document_id, 'chunk_ids': [self.id]}) + res = res.json() + if res.get("retmsg") == "success": + return True + raise Exception(res["retmsg"]) + + def save(self) -> bool: + """ + Save the document details to the server. + """ + res = self.post('/doc/chunk/set', + {"chunk_id": self.id, + "kb_id": self.knowledgebase_id, + "name": self.document_name, + "content_with_weight": self.content, + "important_kwd": self.important_keywords, + "create_time": self.create_time, + "create_timestamp_flt": self.create_timestamp_flt, + "doc_id": self.document_id, + "status": self.status, + }) res = res.json() if res.get("retmsg") == "success": return True - raise Exception(res["retmsg"]) \ No newline at end of file + raise Exception(res["retmsg"]) diff --git a/sdk/python/ragflow/modules/document.py b/sdk/python/ragflow/modules/document.py index 6bcd288395..0a39f1cfe7 100644 --- a/sdk/python/ragflow/modules/document.py +++ b/sdk/python/ragflow/modules/document.py @@ -9,15 +9,15 @@ def __init__(self, rag, res_dict): self.id = "" self.name = "" self.thumbnail = None - self.kb_id = None + self.knowledgebase_id = None self.parser_method = "" self.parser_config = {"pages": [[1, 1000000]]} self.source_type = "local" self.type = "" self.created_by = "" self.size = 0 - self.token_num = 0 - self.chunk_num = 0 + self.token_count = 0 + self.chunk_count = 0 self.progress = 0.0 self.progress_msg = "" self.process_begin_at = None @@ -34,10 +34,10 @@ def save(self) -> bool: Save the document details to the server. """ res = self.post('/doc/save', - {"id": self.id, "name": self.name, "thumbnail": self.thumbnail, "kb_id": self.kb_id, + {"id": self.id, "name": self.name, "thumbnail": self.thumbnail, "kb_id": self.knowledgebase_id, "parser_id": self.parser_method, "parser_config": self.parser_config.to_json(), "source_type": self.source_type, "type": self.type, "created_by": self.created_by, - "size": self.size, "token_num": self.token_num, "chunk_num": self.chunk_num, + "size": self.size, "token_num": self.token_count, "chunk_num": self.chunk_count, "progress": self.progress, "progress_msg": self.progress_msg, "process_begin_at": self.process_begin_at, "process_duation": self.process_duration }) @@ -177,8 +177,12 @@ def list_chunks(self, page=1, offset=0, limit=12,size=30, keywords="", available if res.status_code == 200: res_data = res.json() if res_data.get("retmsg") == "success": - chunks = res_data["data"]["chunks"] - self.chunks = chunks # Store the chunks in the document instance + chunks=[] + for chunk_data in res_data["data"].get("chunks", []): + chunk=Chunk(self.rag,chunk_data) + chunks.append(chunk) + # chunks = res_data["data"]["chunks"] + # self.chunks = chunks # Store the chunks in the document instance return chunks else: raise Exception(f"Error fetching chunks: {res_data.get('retmsg')}") @@ -188,9 +192,9 @@ def list_chunks(self, page=1, offset=0, limit=12,size=30, keywords="", available def add_chunk(self, content: str): res = self.post('/doc/chunk/create', {"doc_id": self.id, "content_with_weight":content}) - # 假设返回的 response 包含 chunk 的信息 if res.status_code == 200: - chunk_data = res.json() - return Chunk(self.rag,chunk_data) # 假设有一个 Chunk 类来处理 chunk 对象 + res_data = res.json().get("data") + chunk_data = res_data.get("chunk") + return Chunk(self.rag,chunk_data) else: raise Exception(f"Failed to add chunk: {res.status_code} {res.text}") diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index 45f02cfa78..3ad4c3dd02 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -20,6 +20,8 @@ from .modules.assistant import Assistant from .modules.dataset import DataSet from .modules.document import Document +from .modules.chunk import Chunk + class RAGFlow: def __init__(self, user_key, base_url, version='v1'): @@ -143,7 +145,7 @@ def list_assistants(self) -> List[Assistant]: return result_list raise Exception(res["retmsg"]) - def create_document(self, ds:DataSet, name: str, blob: bytes) -> bool: + def create_document(self, ds: DataSet, name: str, blob: bytes) -> bool: url = f"/doc/dataset/{ds.id}/documents/upload" files = { 'file': (name, blob) @@ -164,6 +166,7 @@ def create_document(self, ds:DataSet, name: str, blob: bytes) -> bool: raise Exception(f"Upload failed: {response.json().get('retmsg')}") return False + def get_document(self, id: str = None, name: str = None) -> Document: res = self.get("/doc/infos", {"id": id, "name": name}) res = res.json() @@ -205,7 +208,6 @@ def async_cancel_parse_documents(self, doc_ids): raise ValueError("doc_ids must be a non-empty list of document IDs") data = {"doc_ids": doc_ids, "run": 2} - res = self.post(f'/doc/run', data) if res.status_code != 200: @@ -217,4 +219,60 @@ def async_cancel_parse_documents(self, doc_ids): print(f"Error occurred during canceling parsing for documents: {str(e)}") raise + def retrieval(self, + question, + datasets=None, + documents=None, + offset=0, + limit=6, + similarity_threshold=0.1, + vector_similarity_weight=0.3, + top_k=1024): + """ + Perform document retrieval based on the given parameters. + + :param question: The query question. + :param datasets: A list of datasets (optional, as documents may be provided directly). + :param documents: A list of documents (if specific documents are provided). + :param offset: Offset for the retrieval results. + :param limit: Maximum number of retrieval results. + :param similarity_threshold: Similarity threshold. + :param vector_similarity_weight: Weight of vector similarity. + :param top_k: Number of top most similar documents to consider (for pre-filtering or ranking). + + Note: This is a hypothetical implementation and may need adjustments based on the actual backend service API. + """ + try: + data = { + "question": question, + "datasets": datasets if datasets is not None else [], + "documents": [doc.id if hasattr(doc, 'id') else doc for doc in + documents] if documents is not None else [], + "offset": offset, + "limit": limit, + "similarity_threshold": similarity_threshold, + "vector_similarity_weight": vector_similarity_weight, + "top_k": top_k, + "kb_id": datasets, + } + + # Send a POST request to the backend service (using requests library as an example, actual implementation may vary) + res = self.post(f'/doc/retrieval_test', data) + + # Check the response status code + if res.status_code == 200: + res_data = res.json() + if res_data.get("retmsg") == "success": + chunks = [] + for chunk_data in res_data["data"].get("chunks", []): + chunk = Chunk(self, chunk_data) + chunks.append(chunk) + return chunks + else: + raise Exception(f"Error fetching chunks: {res_data.get('retmsg')}") + else: + raise Exception(f"API request failed with status code {res.status_code}") + except Exception as e: + print(f"An error occurred during retrieval: {e}") + raise diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py index 0e0fb49765..c54e5bfc93 100644 --- a/sdk/python/test/t_document.py +++ b/sdk/python/test/t_document.py @@ -41,6 +41,7 @@ def test_get_detail_document_with_success(self): def test_update_document_with_success(self): """ Test updating a document with success. + Update name or parser_method are supported """ rag = RAGFlow(API_KEY, HOST_ADDRESS) doc = rag.get_document(name="TestDocument.txt") @@ -60,7 +61,7 @@ def test_download_document_with_success(self): rag = RAGFlow(API_KEY, HOST_ADDRESS) # Retrieve a document - doc = rag.get_document(name="TestDocument.txt") + doc = rag.get_document(name="manual.txt") # Check if the retrieved document is of type Document if isinstance(doc, Document): @@ -147,14 +148,14 @@ def test_parse_and_cancel_document(self): ds = rag.create_dataset(name="God4") # Define the document name and path - name3 = 'ai.pdf' - path = 'test_data/ai.pdf' + name3 = 'westworld.pdf' + path = 'test_data/westworld.pdf' # Create a document in the dataset using the file path rag.create_document(ds, name=name3, blob=open(path, "rb").read()) # Retrieve the document by name - doc = rag.get_document(name="ai.pdf") + doc = rag.get_document(name="westworld.pdf") # Initiate asynchronous parsing doc.async_parse() @@ -185,9 +186,9 @@ def test_bulk_parse_and_cancel_documents(self): # Prepare a list of file names and paths documents = [ - {'name': 'ai1.pdf', 'path': 'test_data/ai1.pdf'}, - {'name': 'ai2.pdf', 'path': 'test_data/ai2.pdf'}, - {'name': 'ai3.pdf', 'path': 'test_data/ai3.pdf'} + {'name': 'test1.txt', 'path': 'test_data/test1.txt'}, + {'name': 'test2.txt', 'path': 'test_data/test2.txt'}, + {'name': 'test3.txt', 'path': 'test_data/test3.txt'} ] # Create documents in bulk @@ -258,12 +259,42 @@ def test_add_chunk_to_chunk_list(self): def test_delete_chunk_of_chunk_list(self): rag = RAGFlow(API_KEY, HOST_ADDRESS) doc = rag.get_document(name='story.txt') - chunk = doc.add_chunk(content="assss") assert chunk is not None, "Chunk is None" assert isinstance(chunk, Chunk), "Chunk was not added to chunk list" - chunk_num_before=doc.chunk_num + doc = rag.get_document(name='story.txt') + chunk_count_before=doc.chunk_count chunk.delete() - assert doc.chunk_num == chunk_num_before-1, "Chunk was not deleted" - - + doc = rag.get_document(name='story.txt') + assert doc.chunk_count == chunk_count_before-1, "Chunk was not deleted" + def test_update_chunk_content(self): + rag = RAGFlow(API_KEY, HOST_ADDRESS) + doc = rag.get_document(name='story.txt') + chunk = doc.add_chunk(content="assssd") + assert chunk is not None, "Chunk is None" + assert isinstance(chunk, Chunk), "Chunk was not added to chunk list" + chunk.content = "ragflow123" + res=chunk.save() + assert res is True, f"Failed to update chunk, error: {res}" + def test_retrieval_chunks(self): + rag = RAGFlow(API_KEY, HOST_ADDRESS) + ds = rag.create_dataset(name="God8") + name = 'ragflow_test.txt' + path = 'test_data/ragflow_test.txt' + rag.create_document(ds, name=name, blob=open(path, "rb").read()) + doc = rag.get_document(name=name) + doc.async_parse() + # Wait for parsing to complete and get progress updates using join + for progress, msg in doc.join(interval=5, timeout=30): + print(progress, msg) + assert 0 <= progress <= 100, f"Invalid progress: {progress}" + assert msg, "Message should not be empty" + for c in rag.retrieval(question="What's ragflow?", + datasets=[ds.id], documents=[doc], + offset=0, limit=6, similarity_threshold=0.1, + vector_similarity_weight=0.3, + top_k=1024 + ): + print(c) + assert c is not None, "Chunk is None" + assert "ragflow" in c.content.lower(), f"Keyword 'rag' not found in chunk content: {c.content}" From 34f6d42ce0594a2afca3d0374457cd3caa8b257e Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Wed, 18 Sep 2024 08:43:18 +0800 Subject: [PATCH 13/15] Update sdk/python/test/t_document.py --- sdk/python/test/t_document.py | 1 + 1 file changed, 1 insertion(+) diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py index c54e5bfc93..c03d670721 100644 --- a/sdk/python/test/t_document.py +++ b/sdk/python/test/t_document.py @@ -276,6 +276,7 @@ def test_update_chunk_content(self): chunk.content = "ragflow123" res=chunk.save() assert res is True, f"Failed to update chunk, error: {res}" + def test_retrieval_chunks(self): rag = RAGFlow(API_KEY, HOST_ADDRESS) ds = rag.create_dataset(name="God8") From 9cb8bc51a5736d011a13985e9680f33c101e4ac5 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Wed, 18 Sep 2024 08:43:53 +0800 Subject: [PATCH 14/15] Update sdk/python/test/t_document.py --- sdk/python/test/t_document.py | 1 + 1 file changed, 1 insertion(+) diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py index c03d670721..abdba6fdb9 100644 --- a/sdk/python/test/t_document.py +++ b/sdk/python/test/t_document.py @@ -249,6 +249,7 @@ def test_parse_document_and_chunk_list(self): print(c) assert c is not None, "Chunk is None" assert "rag" in c['content_with_weight'].lower(), f"Keyword 'rag' not found in chunk content: {c.content}" + def test_add_chunk_to_chunk_list(self): rag = RAGFlow(API_KEY, HOST_ADDRESS) doc = rag.get_document(name='story.txt') From 4352f47f9ae2a11413a2d5c9e5ce2a4ce85d0a20 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Wed, 18 Sep 2024 08:44:34 +0800 Subject: [PATCH 15/15] Update sdk/python/test/t_document.py --- sdk/python/test/t_document.py | 1 + 1 file changed, 1 insertion(+) diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py index abdba6fdb9..e7ed31d2a2 100644 --- a/sdk/python/test/t_document.py +++ b/sdk/python/test/t_document.py @@ -268,6 +268,7 @@ def test_delete_chunk_of_chunk_list(self): chunk.delete() doc = rag.get_document(name='story.txt') assert doc.chunk_count == chunk_count_before-1, "Chunk was not deleted" + def test_update_chunk_content(self): rag = RAGFlow(API_KEY, HOST_ADDRESS) doc = rag.get_document(name='story.txt')

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